{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a860826e",
   "metadata": {},
   "source": [
    "# Prep Notebook, Week 13\n",
    "\n",
    "So, the last lecture we ended passing data through Python to Altair to output as vega-lite.  What is the benefit to using Python for data analysis?  Well, for some of us Python is our bestie and so we want to hang out with it the most.  For others, the benefit is that we can do data cleaning in Python and then put the cleaned data into our plots.\n",
    "\n",
    "Let's work through a few examples:\n",
    "\n",
    "1. With the corgis dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9225a116",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import altair as alt\n",
    "import matplotlib.pyplot as plt # just in case"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13531926",
   "metadata": {},
   "source": [
    "## 1. Corgis Dataset examples"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "753601a0",
   "metadata": {},
   "source": [
    "Let's start by reading in this dataset and taking a look -- we'll start with the number of corgis born over time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7b21af27",
   "metadata": {},
   "outputs": [],
   "source": [
    "corgs = pd.read_csv('https://raw.githubusercontent.com/UIUC-iSchool-DataViz/is445_bcubcg_fall2022/main/data/corgs_per_country_over_time_columns_2020.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "48c29e18",
   "metadata": {},
   "outputs": [
    {
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Years</th>\n",
       "      <th>United States</th>\n",
       "      <th>Brazil</th>\n",
       "      <th>Russia</th>\n",
       "      <th>Japan</th>\n",
       "      <th>Vietnam</th>\n",
       "      <th>Germany</th>\n",
       "      <th>France</th>\n",
       "      <th>United Kingdom</th>\n",
       "      <th>Italy</th>\n",
       "      <th>...</th>\n",
       "      <th>Croatia</th>\n",
       "      <th>New Zealand</th>\n",
       "      <th>Ireland</th>\n",
       "      <th>Lithuania</th>\n",
       "      <th>Uruguay</th>\n",
       "      <th>Latvia</th>\n",
       "      <th>Slovenia</th>\n",
       "      <th>Estonia</th>\n",
       "      <th>Netherlands Antilles</th>\n",
       "      <th>Kosovo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1917</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1918</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1919</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1920</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1921</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Years  United States  Brazil  Russia  Japan  Vietnam  Germany  France  \\\n",
       "0   1917              0       0       0      0        0        0       0   \n",
       "1   1918              0       0       0      0        0        0       0   \n",
       "2   1919              0       0       0      0        0        0       0   \n",
       "3   1920              0       0       0      0        0        0       0   \n",
       "4   1921              0       0       0      0        0        0       0   \n",
       "\n",
       "   United Kingdom  Italy  ...  Croatia  New Zealand  Ireland  Lithuania  \\\n",
       "0               1      0  ...        0            0        0          0   \n",
       "1               0      0  ...        0            0        0          0   \n",
       "2               0      0  ...        0            0        0          0   \n",
       "3               0      0  ...        0            0        0          0   \n",
       "4               0      0  ...        0            0        0          0   \n",
       "\n",
       "   Uruguay  Latvia  Slovenia  Estonia  Netherlands Antilles  Kosovo  \n",
       "0        0       0         0        0                     0       0  \n",
       "1        0       0         0        0                     0       0  \n",
       "2        0       0         0        0                     0       1  \n",
       "3        0       0         0        0                     0       0  \n",
       "4        0       0         0        0                     0       0  \n",
       "\n",
       "[5 rows x 41 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corgs.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ac38572",
   "metadata": {},
   "source": [
    "So, this shows the number of corgis born over time in different countries.  The easiest plot we can think of is probably a line chart of each country over time.  First, let's start with the United States:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c7b01113",
   "metadata": {},
   "outputs": [
    {
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0, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 0, \"Kosovo\": 0}, {\"Years\": 1925, \"United States\": 0, \"Brazil\": 0, \"Russia\": 0, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 0, \"France\": 0, \"United Kingdom\": 14, \"Italy\": 0, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 0, \"Canada\": 0, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 0, \"Portugal\": 0, \"Belgium\": 0, \"Czech Republic\": 0, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 0, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 0, \"Finland\": 0, \"Norway\": 0, \"Croatia\": 0, \"New Zealand\": 0, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 0, \"Kosovo\": 0}, {\"Years\": 1926, \"United States\": 0, \"Brazil\": 0, \"Russia\": 0, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 0, \"France\": 0, \"United Kingdom\": 12, \"Italy\": 0, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, 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\"Netherlands Antilles\": 42, \"Kosovo\": 47}, {\"Years\": 2014, \"United States\": 280, \"Brazil\": 0, \"Russia\": 127, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 77, \"France\": 37, \"United Kingdom\": 22, \"Italy\": 13, \"South Africa\": 4, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 66, \"Canada\": 5, \"Korea, North\": 1, \"Romania\": 0, \"Australia\": 11, \"Portugal\": 1, \"Belgium\": 2, \"Czech Republic\": 17, \"Hungary\": 1, \"Belarus\": 0, \"Sweden\": 64, \"Austria\": 7, \"Switzerland\": 0, \"Israel\": 8, \"Serbia\": 0, \"Denmark\": 96, \"Finland\": 198, \"Norway\": 99, \"Croatia\": 0, \"New Zealand\": 1, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 6, \"Netherlands Antilles\": 31, \"Kosovo\": 37}, {\"Years\": 2015, \"United States\": 301, \"Brazil\": 0, \"Russia\": 237, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 72, \"France\": 20, \"United Kingdom\": 26, \"Italy\": 2, \"South Africa\": 0, \"Ukraine\": 2, \"Spain\": 0, \"Poland\": 91, \"Canada\": 13, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 6, \"Portugal\": 1, \"Belgium\": 2, \"Czech Republic\": 22, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 118, \"Austria\": 0, \"Switzerland\": 1, \"Israel\": 5, \"Serbia\": 1, \"Denmark\": 111, \"Finland\": 201, \"Norway\": 101, \"Croatia\": 3, \"New Zealand\": 5, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 6, \"Netherlands Antilles\": 22, \"Kosovo\": 64}, {\"Years\": 2016, \"United States\": 229, \"Brazil\": 0, \"Russia\": 217, \"Japan\": 2, \"Vietnam\": 0, \"Germany\": 54, \"France\": 55, \"United Kingdom\": 28, \"Italy\": 2, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 75, \"Canada\": 6, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 9, \"Portugal\": 1, \"Belgium\": 6, \"Czech Republic\": 23, \"Hungary\": 0, \"Belarus\": 5, \"Sweden\": 148, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 4, \"Serbia\": 0, \"Denmark\": 78, \"Finland\": 186, \"Norway\": 103, \"Croatia\": 8, \"New Zealand\": 3, \"Ireland\": 0, \"Lithuania\": 9, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 27, \"Netherlands Antilles\": 17, \"Kosovo\": 72}, {\"Years\": 2017, \"United States\": 213, \"Brazil\": 0, \"Russia\": 260, \"Japan\": 2, \"Vietnam\": 1, \"Germany\": 28, \"France\": 60, \"United Kingdom\": 10, \"Italy\": 4, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 56, \"Canada\": 3, \"Korea, North\": 1, \"Romania\": 0, \"Australia\": 9, \"Portugal\": 0, \"Belgium\": 1, \"Czech Republic\": 22, \"Hungary\": 0, \"Belarus\": 7, \"Sweden\": 137, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 4, \"Serbia\": 1, \"Denmark\": 70, \"Finland\": 266, \"Norway\": 97, \"Croatia\": 4, \"New Zealand\": 3, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 2, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 8, \"Netherlands Antilles\": 25, \"Kosovo\": 101}, {\"Years\": 2018, \"United States\": 198, \"Brazil\": 0, \"Russia\": 329, \"Japan\": 0, \"Vietnam\": 3, \"Germany\": 42, \"France\": 25, \"United Kingdom\": 5, \"Italy\": 2, \"South Africa\": 0, \"Ukraine\": 6, \"Spain\": 0, \"Poland\": 77, \"Canada\": 4, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 8, \"Portugal\": 2, \"Belgium\": 2, \"Czech Republic\": 9, \"Hungary\": 0, \"Belarus\": 9, \"Sweden\": 60, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 4, \"Serbia\": 0, \"Denmark\": 33, \"Finland\": 83, \"Norway\": 86, \"Croatia\": 6, \"New Zealand\": 3, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 16, \"Netherlands Antilles\": 12, \"Kosovo\": 56}, {\"Years\": 2019, \"United States\": 118, \"Brazil\": 0, \"Russia\": 189, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 30, \"France\": 62, \"United Kingdom\": 1, \"Italy\": 2, \"South Africa\": 0, \"Ukraine\": 1, \"Spain\": 5, \"Poland\": 34, \"Canada\": 1, \"Korea, North\": 0, \"Romania\": 7, \"Australia\": 4, \"Portugal\": 2, \"Belgium\": 3, \"Czech Republic\": 7, \"Hungary\": 0, \"Belarus\": 17, \"Sweden\": 19, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 7, \"Serbia\": 0, \"Denmark\": 28, \"Finland\": 4, \"Norway\": 21, \"Croatia\": 0, \"New Zealand\": 0, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 16, \"Netherlands Antilles\": 12, \"Kosovo\": 51}, {\"Years\": 2020, \"United States\": 2, \"Brazil\": 0, \"Russia\": 16, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 0, \"France\": 0, \"United Kingdom\": 0, \"Italy\": 0, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 0, \"Canada\": 0, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 0, \"Portugal\": 0, \"Belgium\": 0, \"Czech Republic\": 0, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 1, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 0, \"Finland\": 3, \"Norway\": 0, \"Croatia\": 0, \"New Zealand\": 0, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 0, \"Kosovo\": 17}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linecorg = alt.Chart(corgs).mark_line().encode(\n",
    "    alt.X('Years:Q'),\n",
    "    alt.Y('United States:Q')\n",
    ")\n",
    "linecorg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "367ff0b1",
   "metadata": {},
   "source": [
    "Here again, we probably want to specify that we have time units:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fa4a063e",
   "metadata": {},
   "outputs": [],
   "source": [
    "corgs['Years'] = pd.to_datetime(corgs['Years'].astype('int'), format='%Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a95ce9c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Years</th>\n",
       "      <th>United States</th>\n",
       "      <th>Brazil</th>\n",
       "      <th>Russia</th>\n",
       "      <th>Japan</th>\n",
       "      <th>Vietnam</th>\n",
       "      <th>Germany</th>\n",
       "      <th>France</th>\n",
       "      <th>United Kingdom</th>\n",
       "      <th>Italy</th>\n",
       "      <th>...</th>\n",
       "      <th>Croatia</th>\n",
       "      <th>New Zealand</th>\n",
       "      <th>Ireland</th>\n",
       "      <th>Lithuania</th>\n",
       "      <th>Uruguay</th>\n",
       "      <th>Latvia</th>\n",
       "      <th>Slovenia</th>\n",
       "      <th>Estonia</th>\n",
       "      <th>Netherlands Antilles</th>\n",
       "      <th>Kosovo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1918-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1919-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1920-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1921-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Years  United States  Brazil  Russia  Japan  Vietnam  Germany  France  \\\n",
       "0 1917-01-01              0       0       0      0        0        0       0   \n",
       "1 1918-01-01              0       0       0      0        0        0       0   \n",
       "2 1919-01-01              0       0       0      0        0        0       0   \n",
       "3 1920-01-01              0       0       0      0        0        0       0   \n",
       "4 1921-01-01              0       0       0      0        0        0       0   \n",
       "\n",
       "   United Kingdom  Italy  ...  Croatia  New Zealand  Ireland  Lithuania  \\\n",
       "0               1      0  ...        0            0        0          0   \n",
       "1               0      0  ...        0            0        0          0   \n",
       "2               0      0  ...        0            0        0          0   \n",
       "3               0      0  ...        0            0        0          0   \n",
       "4               0      0  ...        0            0        0          0   \n",
       "\n",
       "   Uruguay  Latvia  Slovenia  Estonia  Netherlands Antilles  Kosovo  \n",
       "0        0       0         0        0                     0       0  \n",
       "1        0       0         0        0                     0       0  \n",
       "2        0       0         0        0                     0       1  \n",
       "3        0       0         0        0                     0       0  \n",
       "4        0       0         0        0                     0       0  \n",
       "\n",
       "[5 rows x 41 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corgs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1c063665",
   "metadata": {},
   "outputs": [
    {
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Antilles\": 14, \"Kosovo\": 3}, {\"Years\": \"2002-01-01T00:00:00\", \"United States\": 524, \"Brazil\": 0, \"Russia\": 0, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 12, \"France\": 4, \"United Kingdom\": 26, \"Italy\": 6, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 14, \"Canada\": 9, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 12, \"Portugal\": 0, \"Belgium\": 0, \"Czech Republic\": 0, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 22, \"Austria\": 0, \"Switzerland\": 1, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 59, \"Finland\": 77, \"Norway\": 11, \"Croatia\": 0, \"New Zealand\": 7, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 4, \"Kosovo\": 5}, {\"Years\": \"2003-01-01T00:00:00\", \"United States\": 579, \"Brazil\": 1, \"Russia\": 0, \"Japan\": 1, \"Vietnam\": 0, \"Germany\": 7, \"France\": 8, \"United Kingdom\": 19, \"Italy\": 0, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, 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47, \"Finland\": 123, \"Norway\": 14, \"Croatia\": 0, \"New Zealand\": 1, \"Ireland\": 7, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 4, \"Kosovo\": 3}, {\"Years\": \"2005-01-01T00:00:00\", \"United States\": 525, \"Brazil\": 0, \"Russia\": 3, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 20, \"France\": 22, \"United Kingdom\": 20, \"Italy\": 0, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 10, \"Canada\": 9, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 7, \"Portugal\": 0, \"Belgium\": 0, \"Czech Republic\": 8, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 36, \"Austria\": 0, \"Switzerland\": 1, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 89, \"Finland\": 166, \"Norway\": 24, \"Croatia\": 0, \"New Zealand\": 6, \"Ireland\": 1, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 28, \"Kosovo\": 4}, {\"Years\": \"2006-01-01T00:00:00\", \"United States\": 456, \"Brazil\": 0, \"Russia\": 1, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 42, \"France\": 6, \"United Kingdom\": 22, \"Italy\": 3, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 62, \"Canada\": 16, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 17, \"Portugal\": 0, \"Belgium\": 0, \"Czech Republic\": 7, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 59, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 38, \"Finland\": 145, \"Norway\": 25, \"Croatia\": 0, \"New Zealand\": 5, \"Ireland\": 4, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 5, \"Kosovo\": 6}, {\"Years\": \"2007-01-01T00:00:00\", \"United States\": 565, \"Brazil\": 0, \"Russia\": 32, \"Japan\": 1, \"Vietnam\": 0, \"Germany\": 27, \"France\": 29, \"United Kingdom\": 24, \"Italy\": 7, \"South Africa\": 3, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 36, \"Canada\": 18, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 11, \"Portugal\": 0, \"Belgium\": 9, \"Czech Republic\": 0, \"Hungary\": 2, \"Belarus\": 0, \"Sweden\": 85, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 96, \"Finland\": 199, \"Norway\": 11, \"Croatia\": 0, \"New Zealand\": 5, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 1, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 19, \"Kosovo\": 11}, {\"Years\": \"2008-01-01T00:00:00\", \"United States\": 467, \"Brazil\": 0, \"Russia\": 41, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 55, \"France\": 12, \"United Kingdom\": 22, \"Italy\": 0, \"South Africa\": 0, \"Ukraine\": 5, \"Spain\": 0, \"Poland\": 43, \"Canada\": 10, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 15, \"Portugal\": 0, \"Belgium\": 8, \"Czech Republic\": 17, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 66, \"Austria\": 1, \"Switzerland\": 1, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 83, \"Finland\": 185, \"Norway\": 42, \"Croatia\": 0, \"New Zealand\": 3, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 1, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 14, \"Kosovo\": 5}, {\"Years\": \"2009-01-01T00:00:00\", \"United States\": 456, \"Brazil\": 0, \"Russia\": 36, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 61, \"France\": 26, \"United Kingdom\": 22, \"Italy\": 0, \"South Africa\": 1, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 40, \"Canada\": 13, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 16, \"Portugal\": 0, \"Belgium\": 6, \"Czech Republic\": 12, \"Hungary\": 3, \"Belarus\": 0, \"Sweden\": 83, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 168, \"Finland\": 157, \"Norway\": 47, \"Croatia\": 0, \"New Zealand\": 6, \"Ireland\": 3, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 6, \"Netherlands Antilles\": 29, \"Kosovo\": 3}, {\"Years\": \"2010-01-01T00:00:00\", \"United States\": 436, \"Brazil\": 0, \"Russia\": 45, \"Japan\": 1, \"Vietnam\": 0, \"Germany\": 22, \"France\": 16, \"United Kingdom\": 19, \"Italy\": 0, \"South Africa\": 8, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 42, \"Canada\": 14, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 11, \"Portugal\": 0, \"Belgium\": 14, \"Czech Republic\": 28, \"Hungary\": 2, \"Belarus\": 0, \"Sweden\": 91, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 115, \"Finland\": 179, \"Norway\": 49, \"Croatia\": 0, \"New Zealand\": 3, \"Ireland\": 0, \"Lithuania\": 5, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 55, \"Kosovo\": 4}, {\"Years\": \"2011-01-01T00:00:00\", \"United States\": 408, \"Brazil\": 0, \"Russia\": 89, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 39, \"France\": 38, \"United Kingdom\": 25, \"Italy\": 0, \"South Africa\": 0, \"Ukraine\": 3, \"Spain\": 0, \"Poland\": 67, \"Canada\": 20, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 13, \"Portugal\": 0, \"Belgium\": 16, \"Czech Republic\": 42, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 116, \"Austria\": 8, \"Switzerland\": 0, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 143, \"Finland\": 171, \"Norway\": 57, \"Croatia\": 0, \"New Zealand\": 6, \"Ireland\": 1, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 1, \"Slovenia\": 0, \"Estonia\": 5, \"Netherlands Antilles\": 29, \"Kosovo\": 10}, {\"Years\": \"2012-01-01T00:00:00\", \"United States\": 431, \"Brazil\": 0, \"Russia\": 82, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 80, \"France\": 26, \"United Kingdom\": 22, \"Italy\": 0, \"South Africa\": 4, \"Ukraine\": 1, \"Spain\": 0, \"Poland\": 42, \"Canada\": 15, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 13, \"Portugal\": 0, \"Belgium\": 16, \"Czech Republic\": 11, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 128, \"Austria\": 1, \"Switzerland\": 1, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 104, \"Finland\": 143, \"Norway\": 69, \"Croatia\": 0, \"New Zealand\": 0, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 7, \"Netherlands Antilles\": 52, \"Kosovo\": 19}, {\"Years\": \"2013-01-01T00:00:00\", \"United States\": 376, \"Brazil\": 0, \"Russia\": 115, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 81, \"France\": 36, \"United Kingdom\": 26, \"Italy\": 0, \"South Africa\": 1, \"Ukraine\": 1, \"Spain\": 0, \"Poland\": 81, \"Canada\": 15, \"Korea, North\": 3, \"Romania\": 0, \"Australia\": 17, \"Portugal\": 0, \"Belgium\": 15, \"Czech Republic\": 21, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 119, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 107, \"Finland\": 143, \"Norway\": 67, \"Croatia\": 0, \"New Zealand\": 2, \"Ireland\": 0, \"Lithuania\": 15, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 42, \"Kosovo\": 47}, {\"Years\": \"2014-01-01T00:00:00\", \"United States\": 280, \"Brazil\": 0, \"Russia\": 127, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 77, \"France\": 37, \"United Kingdom\": 22, \"Italy\": 13, \"South Africa\": 4, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 66, \"Canada\": 5, \"Korea, North\": 1, \"Romania\": 0, \"Australia\": 11, \"Portugal\": 1, \"Belgium\": 2, \"Czech Republic\": 17, \"Hungary\": 1, \"Belarus\": 0, \"Sweden\": 64, \"Austria\": 7, \"Switzerland\": 0, \"Israel\": 8, \"Serbia\": 0, \"Denmark\": 96, \"Finland\": 198, \"Norway\": 99, \"Croatia\": 0, \"New Zealand\": 1, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 6, \"Netherlands Antilles\": 31, \"Kosovo\": 37}, {\"Years\": \"2015-01-01T00:00:00\", \"United States\": 301, \"Brazil\": 0, \"Russia\": 237, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 72, \"France\": 20, \"United Kingdom\": 26, \"Italy\": 2, \"South Africa\": 0, \"Ukraine\": 2, \"Spain\": 0, \"Poland\": 91, \"Canada\": 13, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 6, \"Portugal\": 1, \"Belgium\": 2, \"Czech Republic\": 22, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 118, \"Austria\": 0, \"Switzerland\": 1, \"Israel\": 5, \"Serbia\": 1, \"Denmark\": 111, \"Finland\": 201, \"Norway\": 101, \"Croatia\": 3, \"New Zealand\": 5, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 6, \"Netherlands Antilles\": 22, \"Kosovo\": 64}, {\"Years\": \"2016-01-01T00:00:00\", \"United States\": 229, \"Brazil\": 0, \"Russia\": 217, \"Japan\": 2, \"Vietnam\": 0, \"Germany\": 54, \"France\": 55, \"United Kingdom\": 28, \"Italy\": 2, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 75, \"Canada\": 6, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 9, \"Portugal\": 1, \"Belgium\": 6, \"Czech Republic\": 23, \"Hungary\": 0, \"Belarus\": 5, \"Sweden\": 148, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 4, \"Serbia\": 0, \"Denmark\": 78, \"Finland\": 186, \"Norway\": 103, \"Croatia\": 8, \"New Zealand\": 3, \"Ireland\": 0, \"Lithuania\": 9, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 27, \"Netherlands Antilles\": 17, \"Kosovo\": 72}, {\"Years\": \"2017-01-01T00:00:00\", \"United States\": 213, \"Brazil\": 0, \"Russia\": 260, \"Japan\": 2, \"Vietnam\": 1, \"Germany\": 28, \"France\": 60, \"United Kingdom\": 10, \"Italy\": 4, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 56, \"Canada\": 3, \"Korea, North\": 1, \"Romania\": 0, \"Australia\": 9, \"Portugal\": 0, \"Belgium\": 1, \"Czech Republic\": 22, \"Hungary\": 0, \"Belarus\": 7, \"Sweden\": 137, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 4, \"Serbia\": 1, \"Denmark\": 70, \"Finland\": 266, \"Norway\": 97, \"Croatia\": 4, \"New Zealand\": 3, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 2, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 8, \"Netherlands Antilles\": 25, \"Kosovo\": 101}, {\"Years\": \"2018-01-01T00:00:00\", \"United States\": 198, \"Brazil\": 0, \"Russia\": 329, \"Japan\": 0, \"Vietnam\": 3, \"Germany\": 42, \"France\": 25, \"United Kingdom\": 5, \"Italy\": 2, \"South Africa\": 0, \"Ukraine\": 6, \"Spain\": 0, \"Poland\": 77, \"Canada\": 4, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 8, \"Portugal\": 2, \"Belgium\": 2, \"Czech Republic\": 9, \"Hungary\": 0, \"Belarus\": 9, \"Sweden\": 60, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 4, \"Serbia\": 0, \"Denmark\": 33, \"Finland\": 83, \"Norway\": 86, \"Croatia\": 6, \"New Zealand\": 3, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 16, \"Netherlands Antilles\": 12, \"Kosovo\": 56}, {\"Years\": \"2019-01-01T00:00:00\", \"United States\": 118, \"Brazil\": 0, \"Russia\": 189, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 30, \"France\": 62, \"United Kingdom\": 1, \"Italy\": 2, \"South Africa\": 0, \"Ukraine\": 1, \"Spain\": 5, \"Poland\": 34, \"Canada\": 1, \"Korea, North\": 0, \"Romania\": 7, \"Australia\": 4, \"Portugal\": 2, \"Belgium\": 3, \"Czech Republic\": 7, \"Hungary\": 0, \"Belarus\": 17, \"Sweden\": 19, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 7, \"Serbia\": 0, \"Denmark\": 28, \"Finland\": 4, \"Norway\": 21, \"Croatia\": 0, \"New Zealand\": 0, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 16, \"Netherlands Antilles\": 12, \"Kosovo\": 51}, {\"Years\": \"2020-01-01T00:00:00\", \"United States\": 2, \"Brazil\": 0, \"Russia\": 16, \"Japan\": 0, \"Vietnam\": 0, \"Germany\": 0, \"France\": 0, \"United Kingdom\": 0, \"Italy\": 0, \"South Africa\": 0, \"Ukraine\": 0, \"Spain\": 0, \"Poland\": 0, \"Canada\": 0, \"Korea, North\": 0, \"Romania\": 0, \"Australia\": 0, \"Portugal\": 0, \"Belgium\": 0, \"Czech Republic\": 0, \"Hungary\": 0, \"Belarus\": 0, \"Sweden\": 1, \"Austria\": 0, \"Switzerland\": 0, \"Israel\": 0, \"Serbia\": 0, \"Denmark\": 0, \"Finland\": 3, \"Norway\": 0, \"Croatia\": 0, \"New Zealand\": 0, \"Ireland\": 0, \"Lithuania\": 0, \"Uruguay\": 0, \"Latvia\": 0, \"Slovenia\": 0, \"Estonia\": 0, \"Netherlands Antilles\": 0, \"Kosovo\": 17}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linecorg = alt.Chart(corgs).mark_line().encode(\n",
    "    alt.X('Years:T'),\n",
    "    alt.Y('United States:Q')\n",
    ")\n",
    "linecorg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a16ad92",
   "metadata": {},
   "source": [
    "That looks better!  To make multiple lines for each country, we want to probably use the `melt` operation we did before. To do that, we need to make years the index:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b5f349e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>United States</th>\n",
       "      <th>Brazil</th>\n",
       "      <th>Russia</th>\n",
       "      <th>Japan</th>\n",
       "      <th>Vietnam</th>\n",
       "      <th>Germany</th>\n",
       "      <th>France</th>\n",
       "      <th>United Kingdom</th>\n",
       "      <th>Italy</th>\n",
       "      <th>South Africa</th>\n",
       "      <th>...</th>\n",
       "      <th>Croatia</th>\n",
       "      <th>New Zealand</th>\n",
       "      <th>Ireland</th>\n",
       "      <th>Lithuania</th>\n",
       "      <th>Uruguay</th>\n",
       "      <th>Latvia</th>\n",
       "      <th>Slovenia</th>\n",
       "      <th>Estonia</th>\n",
       "      <th>Netherlands Antilles</th>\n",
       "      <th>Kosovo</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Years</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1917-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1918-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1919-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1920-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1921-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            United States  Brazil  Russia  Japan  Vietnam  Germany  France  \\\n",
       "Years                                                                        \n",
       "1917-01-01              0       0       0      0        0        0       0   \n",
       "1918-01-01              0       0       0      0        0        0       0   \n",
       "1919-01-01              0       0       0      0        0        0       0   \n",
       "1920-01-01              0       0       0      0        0        0       0   \n",
       "1921-01-01              0       0       0      0        0        0       0   \n",
       "\n",
       "            United Kingdom  Italy  South Africa  ...  Croatia  New Zealand  \\\n",
       "Years                                            ...                         \n",
       "1917-01-01               1      0             0  ...        0            0   \n",
       "1918-01-01               0      0             0  ...        0            0   \n",
       "1919-01-01               0      0             0  ...        0            0   \n",
       "1920-01-01               0      0             0  ...        0            0   \n",
       "1921-01-01               0      0             0  ...        0            0   \n",
       "\n",
       "            Ireland  Lithuania  Uruguay  Latvia  Slovenia  Estonia  \\\n",
       "Years                                                                \n",
       "1917-01-01        0          0        0       0         0        0   \n",
       "1918-01-01        0          0        0       0         0        0   \n",
       "1919-01-01        0          0        0       0         0        0   \n",
       "1920-01-01        0          0        0       0         0        0   \n",
       "1921-01-01        0          0        0       0         0        0   \n",
       "\n",
       "            Netherlands Antilles  Kosovo  \n",
       "Years                                     \n",
       "1917-01-01                     0       0  \n",
       "1918-01-01                     0       0  \n",
       "1919-01-01                     0       1  \n",
       "1920-01-01                     0       0  \n",
       "1921-01-01                     0       0  \n",
       "\n",
       "[5 rows x 40 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corgs = corgs.set_index('Years')\n",
    "corgs.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae2eed0f",
   "metadata": {},
   "source": [
    "Now we can \"melt\" like before:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "86f8e8c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "corg_source = corgs.reset_index().melt('Years', \n",
    "                                      var_name='Country', value_name='country')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d5b017d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Years</th>\n",
       "      <th>Country</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>United States</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1918-01-01</td>\n",
       "      <td>United States</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1919-01-01</td>\n",
       "      <td>United States</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1920-01-01</td>\n",
       "      <td>United States</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1921-01-01</td>\n",
       "      <td>United States</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Years        Country  country\n",
       "0 1917-01-01  United States        0\n",
       "1 1918-01-01  United States        0\n",
       "2 1919-01-01  United States        0\n",
       "3 1920-01-01  United States        0\n",
       "4 1921-01-01  United States        0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_source.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "132438be",
   "metadata": {},
   "source": [
    "Now, let's try again with our multi-line plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c3a49d72",
   "metadata": {},
   "outputs": [
    {
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\"Country\": \"United States\", \"country\": 524}, {\"Years\": \"2003-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 579}, {\"Years\": \"2004-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 596}, {\"Years\": \"2005-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 525}, {\"Years\": \"2006-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 456}, {\"Years\": \"2007-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 565}, {\"Years\": \"2008-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 467}, {\"Years\": \"2009-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 456}, {\"Years\": \"2010-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 436}, {\"Years\": \"2011-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 408}, {\"Years\": \"2012-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 431}, {\"Years\": \"2013-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 376}, {\"Years\": \"2014-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 280}, {\"Years\": \"2015-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 301}, {\"Years\": \"2016-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 229}, {\"Years\": \"2017-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 213}, {\"Years\": \"2018-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 198}, {\"Years\": \"2019-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 118}, {\"Years\": \"2020-01-01T00:00:00\", \"Country\": \"United States\", \"country\": 2}, {\"Years\": \"1917-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1918-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1919-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1920-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1921-01-01T00:00:00\", \"Country\": 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\"1934-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1935-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1936-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1937-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1938-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1939-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1940-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1941-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1942-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1943-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1944-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1945-01-01T00:00:00\", \"Country\": \"Brazil\", \"country\": 0}, {\"Years\": \"1946-01-01T00:00:00\", \"Country\": \"Brazil\", 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\"1958-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1959-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1960-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1961-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1962-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1963-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1964-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 7}, {\"Years\": \"1965-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1966-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1967-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 14}, {\"Years\": \"1968-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1969-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1970-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1971-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"1972-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1973-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 12}, {\"Years\": \"1974-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 3}, {\"Years\": \"1975-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1976-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1977-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"1978-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"1979-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1980-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1981-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 4}, {\"Years\": \"1982-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 2}, {\"Years\": \"1983-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 2}, {\"Years\": \"1984-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"1985-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1986-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 7}, {\"Years\": \"1987-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 4}, {\"Years\": \"1988-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 2}, {\"Years\": \"1989-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1990-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 3}, {\"Years\": \"1991-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"1992-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 2}, {\"Years\": \"1993-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 2}, {\"Years\": \"1994-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 5}, {\"Years\": \"1995-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 5}, {\"Years\": \"1996-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 5}, {\"Years\": \"1997-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 4}, {\"Years\": \"1998-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 15}, {\"Years\": \"1999-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"2000-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 10}, {\"Years\": \"2001-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 14}, {\"Years\": \"2002-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 4}, {\"Years\": \"2003-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 8}, {\"Years\": \"2004-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 4}, {\"Years\": \"2005-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 28}, {\"Years\": \"2006-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 5}, {\"Years\": \"2007-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 19}, {\"Years\": \"2008-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 14}, {\"Years\": \"2009-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 29}, {\"Years\": \"2010-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 55}, {\"Years\": \"2011-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 29}, {\"Years\": \"2012-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 52}, {\"Years\": \"2013-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 42}, {\"Years\": \"2014-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 31}, {\"Years\": \"2015-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 22}, {\"Years\": \"2016-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 17}, {\"Years\": \"2017-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 25}, {\"Years\": \"2018-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 12}, {\"Years\": \"2019-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 12}, {\"Years\": \"2020-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1917-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1918-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1919-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1920-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1921-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1922-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1923-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1924-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1925-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1926-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1927-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1928-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1929-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1930-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1931-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1932-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1933-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1934-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1935-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1936-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1937-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1938-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1939-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1940-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1941-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1942-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1943-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1944-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1945-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1946-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1947-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1948-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1949-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1950-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1951-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1952-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1953-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1954-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1955-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1956-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1957-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1958-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1959-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1960-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1961-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1962-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1963-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1964-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1965-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1966-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1967-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1968-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 12}, {\"Years\": \"1969-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 9}, {\"Years\": \"1970-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 10}, {\"Years\": \"1971-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 9}, {\"Years\": \"1972-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1973-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1974-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1975-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1976-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1977-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1978-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1979-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1980-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1981-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1982-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1983-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1984-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1985-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1986-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1987-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1988-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1989-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1990-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1991-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1992-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1993-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1994-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1995-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1996-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1997-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1998-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1999-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"2000-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2001-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2002-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2003-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 7}, {\"Years\": \"2004-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2005-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 4}, {\"Years\": \"2006-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 6}, {\"Years\": \"2007-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 11}, {\"Years\": \"2008-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2009-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2010-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 4}, {\"Years\": \"2011-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 10}, {\"Years\": \"2012-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 19}, {\"Years\": \"2013-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 47}, {\"Years\": \"2014-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 37}, {\"Years\": \"2015-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 64}, {\"Years\": \"2016-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 72}, {\"Years\": \"2017-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 101}, {\"Years\": \"2018-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 56}, {\"Years\": \"2019-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 51}, {\"Years\": \"2020-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 17}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linecorg = alt.Chart(corg_source).mark_line().encode(\n",
    "    alt.Y('country:Q'),\n",
    "    x='Years:T',\n",
    "    color='Country:N'\n",
    ")\n",
    "linecorg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ace87bce",
   "metadata": {},
   "source": [
    "Since there is a large range of corgis born, we might try a log-scale on the y-axis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "835b428c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  #altair-viz-ecaaed0dcd934b1180137aa7b6ae1daa.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-ecaaed0dcd934b1180137aa7b6ae1daa.vega-embed details,\n",
       "  #altair-viz-ecaaed0dcd934b1180137aa7b6ae1daa.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-ecaaed0dcd934b1180137aa7b6ae1daa\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
       "  (function(spec, embedOpt){\n",
       "    let outputDiv = document.currentScript.previousElementSibling;\n",
       "    if (outputDiv.id !== \"altair-viz-ecaaed0dcd934b1180137aa7b6ae1daa\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-ecaaed0dcd934b1180137aa7b6ae1daa\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "          s.async = true;\n",
       "          s.onload = () => {\n",
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       "          };\n",
       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
       "          s.src = paths[lib];\n",
       "        });\n",
       "    }\n",
       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
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\"1942-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1943-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1944-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1945-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1946-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1947-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1948-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1949-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1950-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1951-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1952-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1953-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1954-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1955-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1956-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1957-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1958-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1959-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1960-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1961-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1962-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1963-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1964-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1965-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1966-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1967-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1968-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 12}, {\"Years\": \"1969-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 9}, {\"Years\": \"1970-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 10}, {\"Years\": \"1971-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 9}, {\"Years\": \"1972-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1973-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1974-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1975-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1976-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1977-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1978-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1979-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1980-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1981-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1982-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1983-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1984-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1985-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1986-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1987-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1988-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1989-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1990-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1991-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1992-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1993-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1994-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1995-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1996-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1997-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1998-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1999-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"2000-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2001-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2002-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2003-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 7}, {\"Years\": \"2004-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2005-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 4}, {\"Years\": \"2006-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 6}, {\"Years\": \"2007-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 11}, {\"Years\": \"2008-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2009-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2010-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 4}, {\"Years\": \"2011-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 10}, {\"Years\": \"2012-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 19}, {\"Years\": \"2013-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 47}, {\"Years\": \"2014-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 37}, {\"Years\": \"2015-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 64}, {\"Years\": \"2016-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 72}, {\"Years\": \"2017-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 101}, {\"Years\": \"2018-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 56}, {\"Years\": \"2019-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 51}, {\"Years\": \"2020-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 17}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linecorg = alt.Chart(corg_source).mark_line().encode(\n",
    "    alt.Y('country:Q',scale=alt.Scale(type='log')),\n",
    "    x='Years:T',\n",
    "    color='Country:N'\n",
    ")\n",
    "linecorg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bb9795c",
   "metadata": {},
   "source": [
    "Here we see that there is an issue -- this is probably because there are zeros in our dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "315d3094",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_source['country'].min()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "793c1a4c",
   "metadata": {},
   "source": [
    "Potentially, we can \"clean\" these by setting any zeros to NaN's, however in this case those 0's are meaningful -- they are telling us that a particular country has no corgis born in that year!  Instead, we have a few different options.  One thing we can do [is apply a](https://stackoverflow.com/questions/58032074/why-is-altair-returning-an-empty-chart-when-using-log-scale) [filter opperation](https://altair-viz.github.io/user_guide/transform/filter.html#filter-transform) on our data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4b21cdd7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\"1992-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1993-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1994-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1995-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1996-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1997-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1998-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1999-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"2000-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2001-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2002-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2003-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 7}, {\"Years\": \"2004-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2005-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 4}, {\"Years\": \"2006-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 6}, {\"Years\": \"2007-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 11}, {\"Years\": \"2008-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2009-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2010-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 4}, {\"Years\": \"2011-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 10}, {\"Years\": \"2012-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 19}, {\"Years\": \"2013-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 47}, {\"Years\": \"2014-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 37}, {\"Years\": \"2015-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 64}, {\"Years\": \"2016-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 72}, {\"Years\": \"2017-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 101}, {\"Years\": \"2018-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 56}, {\"Years\": \"2019-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 51}, {\"Years\": \"2020-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 17}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linecorg = alt.Chart(corg_source).transform_filter(\n",
    "    alt.datum.country > 0\n",
    ").mark_line().encode(\n",
    "    alt.Y('country:Q',scale=alt.Scale(type='log')),\n",
    "    x='Years:T',\n",
    "    color='Country:N'\n",
    ")\n",
    "linecorg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab762ef4",
   "metadata": {},
   "source": [
    "This doesn't really get to our issue though -- we are just filtering out those zero years/countries.  In this case, instead of filtering, we probably want to use a symmetric log instead of a log for our scale;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f4b2d163",
   "metadata": {},
   "outputs": [
    {
     "data": {
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Antilles\", \"country\": 0}, {\"Years\": \"1936-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1937-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1938-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1939-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1940-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1941-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1942-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1943-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1944-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1945-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1946-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1947-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1948-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1949-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1950-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1951-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1952-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1953-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1954-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1955-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1956-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1957-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1958-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1959-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1960-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1961-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1962-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1963-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1964-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 7}, {\"Years\": \"1965-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1966-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1967-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 14}, {\"Years\": \"1968-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1969-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1970-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1971-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"1972-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1973-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 12}, {\"Years\": \"1974-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 3}, {\"Years\": \"1975-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1976-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1977-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"1978-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"1979-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1980-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1981-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 4}, {\"Years\": \"1982-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 2}, {\"Years\": \"1983-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 2}, {\"Years\": \"1984-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"1985-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1986-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 7}, {\"Years\": \"1987-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 4}, {\"Years\": \"1988-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 2}, {\"Years\": \"1989-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1990-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 3}, {\"Years\": \"1991-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"1992-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 2}, {\"Years\": \"1993-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 2}, {\"Years\": \"1994-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 5}, {\"Years\": \"1995-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 5}, {\"Years\": \"1996-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 5}, {\"Years\": \"1997-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 4}, {\"Years\": \"1998-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 15}, {\"Years\": \"1999-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 1}, {\"Years\": \"2000-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 10}, {\"Years\": \"2001-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 14}, {\"Years\": \"2002-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 4}, {\"Years\": \"2003-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 8}, {\"Years\": \"2004-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 4}, {\"Years\": \"2005-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 28}, {\"Years\": \"2006-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 5}, {\"Years\": \"2007-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 19}, {\"Years\": \"2008-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 14}, {\"Years\": \"2009-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 29}, {\"Years\": \"2010-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 55}, {\"Years\": \"2011-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 29}, {\"Years\": \"2012-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 52}, {\"Years\": \"2013-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 42}, {\"Years\": \"2014-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 31}, {\"Years\": \"2015-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 22}, {\"Years\": \"2016-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 17}, {\"Years\": \"2017-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 25}, {\"Years\": \"2018-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 12}, {\"Years\": \"2019-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 12}, {\"Years\": \"2020-01-01T00:00:00\", \"Country\": \"Netherlands Antilles\", \"country\": 0}, {\"Years\": \"1917-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1918-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1919-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1920-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1921-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1922-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1923-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1924-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1925-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1926-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1927-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1928-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1929-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1930-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1931-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1932-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1933-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1934-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1935-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1936-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1937-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1938-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1939-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1940-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1941-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1942-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1943-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1944-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1945-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1946-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1947-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1948-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1949-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1950-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1951-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1952-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1953-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1954-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1955-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1956-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1957-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1958-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1959-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1960-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1961-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1962-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1963-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1964-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1965-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1966-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1967-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1968-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 12}, {\"Years\": \"1969-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 9}, {\"Years\": \"1970-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 10}, {\"Years\": \"1971-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 9}, {\"Years\": \"1972-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1973-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1974-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1975-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1976-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1977-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1978-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1979-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1980-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1981-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1982-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1983-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1984-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1985-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1986-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1987-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1988-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1989-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"1990-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1991-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1992-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1993-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1994-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1995-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 0}, {\"Years\": \"1996-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"1997-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 1}, {\"Years\": \"1998-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"1999-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 2}, {\"Years\": \"2000-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2001-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2002-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2003-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 7}, {\"Years\": \"2004-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2005-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 4}, {\"Years\": \"2006-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 6}, {\"Years\": \"2007-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 11}, {\"Years\": \"2008-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 5}, {\"Years\": \"2009-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 3}, {\"Years\": \"2010-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 4}, {\"Years\": \"2011-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 10}, {\"Years\": \"2012-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 19}, {\"Years\": \"2013-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 47}, {\"Years\": \"2014-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 37}, {\"Years\": \"2015-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 64}, {\"Years\": \"2016-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 72}, {\"Years\": \"2017-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 101}, {\"Years\": \"2018-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 56}, {\"Years\": \"2019-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 51}, {\"Years\": \"2020-01-01T00:00:00\", \"Country\": \"Kosovo\", \"country\": 17}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linecorg = alt.Chart(corg_source).mark_line().encode(\n",
    "    alt.Y('country:Q',scale=alt.Scale(type='symlog')),\n",
    "    x='Years:T',\n",
    "    color='Country:N'\n",
    ")\n",
    "linecorg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d02700cc",
   "metadata": {},
   "source": [
    "Even with this though, we have sort of a messy plot -- even if we allowed for selections (like with the buildings dataset above) we still have many lines that \"fall off\" our legend which is not helpful.\n",
    "\n",
    "Since this is data in different countries, we could think that maybe a good idea would be some kind of map!\n",
    "\n",
    "First, let's see what mappable data \"comes with\" vega-datasets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a573129b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from vega_datasets import data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0cf9ef16",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data.countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "fb55844c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<vega_datasets.core.World_110M at 0x7f84fb099a60>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.world_110m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3620bf17",
   "metadata": {},
   "source": [
    "Let's try plotting both of these:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "05f5e5e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-b4ae250b47e54adb985f54d3e34e7486.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-b4ae250b47e54adb985f54d3e34e7486.vega-embed details,\n",
       "  #altair-viz-b4ae250b47e54adb985f54d3e34e7486.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-b4ae250b47e54adb985f54d3e34e7486\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
       "  (function(spec, embedOpt){\n",
       "    let outputDiv = document.currentScript.previousElementSibling;\n",
       "    if (outputDiv.id !== \"altair-viz-b4ae250b47e54adb985f54d3e34e7486\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-b4ae250b47e54adb985f54d3e34e7486\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "          s.async = true;\n",
       "          s.onload = () => {\n",
       "            VEGA_DEBUG[key] = version;\n",
       "            return resolve(paths[lib]);\n",
       "          };\n",
       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
       "          s.src = paths[lib];\n",
       "        });\n",
       "    }\n",
       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"url\": \"https://cdn.jsdelivr.net/npm/vega-datasets@v1.29.0/data/world-110m.json\", \"format\": {\"feature\": \"countries\", \"type\": \"topojson\"}}, \"mark\": {\"type\": \"geoshape\", \"fill\": \"gray\", \"stroke\": \"white\"}, \"height\": 500, \"projection\": {\"type\": \"equirectangular\"}, \"width\": 800, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\"}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo = alt.topo_feature(data.world_110m.url, feature='countries')\n",
    "\n",
    "# US states background\n",
    "world = alt.Chart(geo).mark_geoshape(\n",
    "    fill='gray',\n",
    "    stroke='white'\n",
    ").properties(\n",
    "    width=800,\n",
    "    height=500\n",
    ").project('equirectangular') # note we have a few projections we can use!\n",
    "world"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbf21c56",
   "metadata": {},
   "source": [
    "So, one way we can plot data on this plot is to plot dots over each of the countries showing how many corgis have been born in each one.  For this though [we probably need the latitude and longitude points](https://altair-viz.github.io/altair-tutorial/notebooks/09-Geographic-plots.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6f40961",
   "metadata": {},
   "source": [
    "One way to do this is [using the OpenStreetMap project](https://gis.stackexchange.com/questions/212796/getting-latlon-extent-of-country-by-its-name-using-python):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d01ac06f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "def get_boundingbox_country(country, output_as='center'):\n",
    "    \"\"\"\n",
    "    get the bounding box of a country in EPSG4326 given a country name\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    country : str\n",
    "        name of the country in english and lowercase\n",
    "    output_as : 'str\n",
    "        chose from 'boundingbox' or 'center'. \n",
    "         - 'boundingbox' for [latmin, latmax, lonmin, lonmax]\n",
    "         - 'center' for [latcenter, loncenter]\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    output : list\n",
    "        list with coordinates as str\n",
    "    \"\"\"\n",
    "    # create url\n",
    "    url = '{0}{1}{2}'.format('http://nominatim.openstreetmap.org/search?country=',\n",
    "                             country,\n",
    "                             '&format=json&polygon=0')\n",
    "    response = requests.get(url).json()[0]\n",
    "\n",
    "    # parse response to list\n",
    "    if output_as == 'boundingbox':\n",
    "        lst = response[output_as]\n",
    "        output = [float(i) for i in lst]\n",
    "    if output_as == 'center':\n",
    "        lst = [response.get(key) for key in ['lat','lon']]\n",
    "        output = [float(i) for i in lst]\n",
    "    return output"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8473e93",
   "metadata": {},
   "source": [
    "We can call OpenStreetMaps in a few different ways, with country codes or names:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "8b7ba374",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39.7837304, -100.445882)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat,long = get_boundingbox_country('usa')\n",
    "lat,long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1b257c1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39.7837304, -100.445882)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat,long = get_boundingbox_country('us')\n",
    "lat,long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d6fda5f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39.7837304, -100.445882)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat,long = get_boundingbox_country('United States')\n",
    "lat,long"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eeb3cb21",
   "metadata": {},
   "source": [
    "There is no guarantee that the dataset is formatted with the correct country codes -- so we'd best check and see:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "50e6c74a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['United States', 'Brazil', 'Russia', 'Japan', 'Vietnam', 'Germany',\n",
       "       'France', 'United Kingdom', 'Italy', 'South Africa', 'Ukraine', 'Spain',\n",
       "       'Poland', 'Canada', 'Korea, North', 'Romania', 'Australia', 'Portugal',\n",
       "       'Belgium', 'Czech Republic', 'Hungary', 'Belarus', 'Sweden', 'Austria',\n",
       "       'Switzerland', 'Israel', 'Serbia', 'Denmark', 'Finland', 'Norway',\n",
       "       'Croatia', 'New Zealand', 'Ireland', 'Lithuania', 'Uruguay', 'Latvia',\n",
       "       'Slovenia', 'Estonia', 'Netherlands Antilles', 'Kosovo'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corgs.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "7cecb018",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "United States 39.7837304 -100.445882\n",
      "Brazil -10.3333333 -53.2\n",
      "Russia 64.6863136 97.7453061\n",
      "Japan 36.5748441 139.2394179\n",
      "Vietnam 15.9266657 107.9650855\n",
      "Germany 51.1638175 10.4478313\n",
      "France 46.603354 1.8883335\n",
      "United Kingdom 54.7023545 -3.2765753\n",
      "Italy 42.6384261 12.674297\n",
      "South Africa -28.8166236 24.991639\n",
      "Ukraine 49.4871968 31.2718321\n",
      "Spain 39.3260685 -4.8379791\n",
      "Poland 52.215933 19.134422\n",
      "Canada 61.0666922 -107.991707\n",
      "Korea, North 40.3736611 127.0870417\n",
      "Romania 45.9852129 24.6859225\n",
      "Australia -24.7761086 134.755\n",
      "Portugal 39.6621648 -8.1353519\n",
      "Belgium 50.6402809 4.6667145\n",
      "Czech Republic 49.7439047 15.3381061\n",
      "Hungary 47.1817585 19.5060937\n",
      "Belarus 53.4250605 27.6971358\n",
      "Sweden 59.6749712 14.5208584\n",
      "Austria 47.59397 14.12456\n",
      "Switzerland 46.7985624 8.2319736\n",
      "Israel 31.39480005 34.63358319049945\n",
      "Serbia 44.1534121 20.55144\n",
      "Denmark 55.670249 10.3333283\n",
      "Finland 63.2467777 25.9209164\n",
      "Norway 61.1529386 8.7876653\n",
      "Croatia 45.3658443 15.6575209\n",
      "New Zealand -41.5000831 172.8344077\n",
      "Ireland 52.865196 -7.9794599\n",
      "Lithuania 55.3500003 23.7499997\n",
      "Uruguay -32.8755548 -56.0201525\n",
      "Latvia 56.8406494 24.7537645\n",
      "Slovenia 46.1199444 14.8153333\n",
      "Estonia 58.7523778 25.3319078\n"
     ]
    },
    {
     "ename": "IndexError",
     "evalue": "list index out of range",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[29], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m lat,long \u001b[38;5;241m=\u001b[39m [],[]\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m c \u001b[38;5;129;01min\u001b[39;00m corgs\u001b[38;5;241m.\u001b[39mcolumns:\n\u001b[0;32m----> 3\u001b[0m     la,lo \u001b[38;5;241m=\u001b[39m \u001b[43mget_boundingbox_country\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mc\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      4\u001b[0m     \u001b[38;5;28mprint\u001b[39m(c,la,lo)\n\u001b[1;32m      5\u001b[0m     lat\u001b[38;5;241m.\u001b[39mappend(la); long\u001b[38;5;241m.\u001b[39mappend(lo)\n",
      "Cell \u001b[0;32mIn[24], line 24\u001b[0m, in \u001b[0;36mget_boundingbox_country\u001b[0;34m(country, output_as)\u001b[0m\n\u001b[1;32m     20\u001b[0m \u001b[38;5;66;03m# create url\u001b[39;00m\n\u001b[1;32m     21\u001b[0m url \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{0}\u001b[39;00m\u001b[38;5;132;01m{1}\u001b[39;00m\u001b[38;5;132;01m{2}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://nominatim.openstreetmap.org/search?country=\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     22\u001b[0m                          country,\n\u001b[1;32m     23\u001b[0m                          \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m&format=json&polygon=0\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m---> 24\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mrequests\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjson\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[1;32m     26\u001b[0m \u001b[38;5;66;03m# parse response to list\u001b[39;00m\n\u001b[1;32m     27\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m output_as \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mboundingbox\u001b[39m\u001b[38;5;124m'\u001b[39m:\n",
      "\u001b[0;31mIndexError\u001b[0m: list index out of range"
     ]
    }
   ],
   "source": [
    "lat,long = [],[]\n",
    "for c in corgs.columns:\n",
    "    la,lo = get_boundingbox_country(str(c))\n",
    "    print(c,la,lo)\n",
    "    lat.append(la); long.append(lo)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a9839c8",
   "metadata": {},
   "source": [
    "Ah ha!  We have an issue, let's see what it is:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "b8d24543",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Netherlands Antilles'"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07980335",
   "metadata": {},
   "source": [
    "In this case, we need to do some data cleaning.  We can start from our \"source\" but instead, we probably want to start from the original dataframe, just to be consistent:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "be9cd957",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>United States</th>\n",
       "      <th>Brazil</th>\n",
       "      <th>Russia</th>\n",
       "      <th>Japan</th>\n",
       "      <th>Vietnam</th>\n",
       "      <th>Germany</th>\n",
       "      <th>France</th>\n",
       "      <th>United Kingdom</th>\n",
       "      <th>Italy</th>\n",
       "      <th>South Africa</th>\n",
       "      <th>...</th>\n",
       "      <th>Croatia</th>\n",
       "      <th>New Zealand</th>\n",
       "      <th>Ireland</th>\n",
       "      <th>Lithuania</th>\n",
       "      <th>Uruguay</th>\n",
       "      <th>Latvia</th>\n",
       "      <th>Slovenia</th>\n",
       "      <th>Estonia</th>\n",
       "      <th>Netherlands</th>\n",
       "      <th>Kosovo</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Years</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1917-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1918-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1919-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1920-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1921-01-01</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            United States  Brazil  Russia  Japan  Vietnam  Germany  France  \\\n",
       "Years                                                                        \n",
       "1917-01-01              0       0       0      0        0        0       0   \n",
       "1918-01-01              0       0       0      0        0        0       0   \n",
       "1919-01-01              0       0       0      0        0        0       0   \n",
       "1920-01-01              0       0       0      0        0        0       0   \n",
       "1921-01-01              0       0       0      0        0        0       0   \n",
       "\n",
       "            United Kingdom  Italy  South Africa  ...  Croatia  New Zealand  \\\n",
       "Years                                            ...                         \n",
       "1917-01-01               1      0             0  ...        0            0   \n",
       "1918-01-01               0      0             0  ...        0            0   \n",
       "1919-01-01               0      0             0  ...        0            0   \n",
       "1920-01-01               0      0             0  ...        0            0   \n",
       "1921-01-01               0      0             0  ...        0            0   \n",
       "\n",
       "            Ireland  Lithuania  Uruguay  Latvia  Slovenia  Estonia  \\\n",
       "Years                                                                \n",
       "1917-01-01        0          0        0       0         0        0   \n",
       "1918-01-01        0          0        0       0         0        0   \n",
       "1919-01-01        0          0        0       0         0        0   \n",
       "1920-01-01        0          0        0       0         0        0   \n",
       "1921-01-01        0          0        0       0         0        0   \n",
       "\n",
       "            Netherlands  Kosovo  \n",
       "Years                            \n",
       "1917-01-01            0       0  \n",
       "1918-01-01            0       0  \n",
       "1919-01-01            0       1  \n",
       "1920-01-01            0       0  \n",
       "1921-01-01            0       0  \n",
       "\n",
       "[5 rows x 40 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean = corgs.copy()\n",
    "#corg_clean = corg_clean.set_index('Years') # note -- don't have to do this again since we started with a rest index\n",
    "corg_clean = corg_clean.rename(columns={'Netherlands Antilles':\"Netherlands\"})\n",
    "corg_clean.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00761ecd",
   "metadata": {},
   "source": [
    "Let's try this again:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "189aa8dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "United States 39.7837304 -100.445882\n",
      "Brazil -10.3333333 -53.2\n",
      "Russia 64.6863136 97.7453061\n",
      "Japan 36.5748441 139.2394179\n",
      "Vietnam 15.9266657 107.9650855\n",
      "Germany 51.1638175 10.4478313\n",
      "France 46.603354 1.8883335\n",
      "United Kingdom 54.7023545 -3.2765753\n",
      "Italy 42.6384261 12.674297\n",
      "South Africa -28.8166236 24.991639\n",
      "Ukraine 49.4871968 31.2718321\n",
      "Spain 39.3260685 -4.8379791\n",
      "Poland 52.215933 19.134422\n",
      "Canada 61.0666922 -107.991707\n",
      "Korea, North 40.3736611 127.0870417\n",
      "Romania 45.9852129 24.6859225\n",
      "Australia -24.7761086 134.755\n",
      "Portugal 39.6621648 -8.1353519\n",
      "Belgium 50.6402809 4.6667145\n",
      "Czech Republic 49.7439047 15.3381061\n",
      "Hungary 47.1817585 19.5060937\n",
      "Belarus 53.4250605 27.6971358\n",
      "Sweden 59.6749712 14.5208584\n",
      "Austria 47.59397 14.12456\n",
      "Switzerland 46.7985624 8.2319736\n",
      "Israel 31.39480005 34.63358319049945\n",
      "Serbia 44.1534121 20.55144\n",
      "Denmark 55.670249 10.3333283\n",
      "Finland 63.2467777 25.9209164\n",
      "Norway 61.1529386 8.7876653\n",
      "Croatia 45.3658443 15.6575209\n",
      "New Zealand -41.5000831 172.8344077\n",
      "Ireland 52.865196 -7.9794599\n",
      "Lithuania 55.3500003 23.7499997\n",
      "Uruguay -32.8755548 -56.0201525\n",
      "Latvia 56.8406494 24.7537645\n",
      "Slovenia 46.1199444 14.8153333\n",
      "Estonia 58.7523778 25.3319078\n",
      "Netherlands 52.24764975 5.541246849406163\n",
      "Kosovo 42.5869578 20.9021231\n"
     ]
    }
   ],
   "source": [
    "lat,long = [],[]\n",
    "for c in corg_clean.columns:\n",
    "    la,lo = get_boundingbox_country(str(c))\n",
    "    print(c,la,lo)\n",
    "    lat.append(la); long.append(lo)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb6973f2",
   "metadata": {},
   "source": [
    "Hurray!  So, this is a case where being able to clean the data in Python was super useful.  Let's try adding these as points to our map now that we have cleaned data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77da2776",
   "metadata": {},
   "source": [
    "One other data transformation we probably want to do is transpose this matrix so that we have countries as rows and corgis born per year as columns:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "18ab69a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Years</th>\n",
       "      <th>1917-01-01</th>\n",
       "      <th>1918-01-01</th>\n",
       "      <th>1919-01-01</th>\n",
       "      <th>1920-01-01</th>\n",
       "      <th>1921-01-01</th>\n",
       "      <th>1922-01-01</th>\n",
       "      <th>1923-01-01</th>\n",
       "      <th>1924-01-01</th>\n",
       "      <th>1925-01-01</th>\n",
       "      <th>1926-01-01</th>\n",
       "      <th>...</th>\n",
       "      <th>2011-01-01</th>\n",
       "      <th>2012-01-01</th>\n",
       "      <th>2013-01-01</th>\n",
       "      <th>2014-01-01</th>\n",
       "      <th>2015-01-01</th>\n",
       "      <th>2016-01-01</th>\n",
       "      <th>2017-01-01</th>\n",
       "      <th>2018-01-01</th>\n",
       "      <th>2019-01-01</th>\n",
       "      <th>2020-01-01</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>408</td>\n",
       "      <td>431</td>\n",
       "      <td>376</td>\n",
       "      <td>280</td>\n",
       "      <td>301</td>\n",
       "      <td>229</td>\n",
       "      <td>213</td>\n",
       "      <td>198</td>\n",
       "      <td>118</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>89</td>\n",
       "      <td>82</td>\n",
       "      <td>115</td>\n",
       "      <td>127</td>\n",
       "      <td>237</td>\n",
       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 104 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Years          1917-01-01  1918-01-01  1919-01-01  1920-01-01  1921-01-01  \\\n",
       "United States           0           0           0           0           0   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                  0           0           0           0           0   \n",
       "Japan                   0           0           0           0           0   \n",
       "Vietnam                 0           0           0           0           0   \n",
       "\n",
       "Years          1922-01-01  1923-01-01  1924-01-01  1925-01-01  1926-01-01  \\\n",
       "United States           0           0           0           0           0   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                  0           0           0           0           0   \n",
       "Japan                   0           0           0           0           0   \n",
       "Vietnam                 0           0           0           0           0   \n",
       "\n",
       "Years          ...  2011-01-01  2012-01-01  2013-01-01  2014-01-01  \\\n",
       "United States  ...         408         431         376         280   \n",
       "Brazil         ...           0           0           0           0   \n",
       "Russia         ...          89          82         115         127   \n",
       "Japan          ...           0           0           0           0   \n",
       "Vietnam        ...           0           0           0           0   \n",
       "\n",
       "Years          2015-01-01  2016-01-01  2017-01-01  2018-01-01  2019-01-01  \\\n",
       "United States         301         229         213         198         118   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                237         217         260         329         189   \n",
       "Japan                   0           2           2           0           0   \n",
       "Vietnam                 0           0           1           3           0   \n",
       "\n",
       "Years          2020-01-01  \n",
       "United States           2  \n",
       "Brazil                  0  \n",
       "Russia                 16  \n",
       "Japan                   0  \n",
       "Vietnam                 0  \n",
       "\n",
       "[5 rows x 104 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean_t = corg_clean.T\n",
    "corg_clean_t.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b6c0ef7",
   "metadata": {},
   "source": [
    "Since, technically, the index is no longer years, so we should be sure to name the index more intuatively: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4fe7be97",
   "metadata": {},
   "outputs": [],
   "source": [
    "corg_clean_t.index.name = \"Country\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "92c681dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Years'"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean_t.axes[1].name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "b4404f0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <th>Russia</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <th>Vietnam</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "<p>5 rows × 104 columns</p>\n",
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      ],
      "text/plain": [
       "Years          1917-01-01  1918-01-01  1919-01-01  1920-01-01  1921-01-01  \\\n",
       "Country                                                                     \n",
       "United States           0           0           0           0           0   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                  0           0           0           0           0   \n",
       "Japan                   0           0           0           0           0   \n",
       "Vietnam                 0           0           0           0           0   \n",
       "\n",
       "Years          1922-01-01  1923-01-01  1924-01-01  1925-01-01  1926-01-01  \\\n",
       "Country                                                                     \n",
       "United States           0           0           0           0           0   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                  0           0           0           0           0   \n",
       "Japan                   0           0           0           0           0   \n",
       "Vietnam                 0           0           0           0           0   \n",
       "\n",
       "Years          ...  2011-01-01  2012-01-01  2013-01-01  2014-01-01  \\\n",
       "Country        ...                                                   \n",
       "United States  ...         408         431         376         280   \n",
       "Brazil         ...           0           0           0           0   \n",
       "Russia         ...          89          82         115         127   \n",
       "Japan          ...           0           0           0           0   \n",
       "Vietnam        ...           0           0           0           0   \n",
       "\n",
       "Years          2015-01-01  2016-01-01  2017-01-01  2018-01-01  2019-01-01  \\\n",
       "Country                                                                     \n",
       "United States         301         229         213         198         118   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                237         217         260         329         189   \n",
       "Japan                   0           2           2           0           0   \n",
       "Vietnam                 0           0           1           3           0   \n",
       "\n",
       "Years          2020-01-01  \n",
       "Country                    \n",
       "United States           2  \n",
       "Brazil                  0  \n",
       "Russia                 16  \n",
       "Japan                   0  \n",
       "Vietnam                 0  \n",
       "\n",
       "[5 rows x 104 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean_t.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b97f199",
   "metadata": {},
   "source": [
    "Now we can add in the lat/long for each country:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "6d5178a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "corg_clean_t['Latitude'] = lat\n",
    "corg_clean_t['Longitude'] = long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "99b6bced",
   "metadata": {},
   "outputs": [
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       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "Years          1917-01-01 00:00:00  1918-01-01 00:00:00  1919-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1920-01-01 00:00:00  1921-01-01 00:00:00  1922-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1923-01-01 00:00:00  1924-01-01 00:00:00  1925-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1926-01-01 00:00:00  ...  2013-01-01 00:00:00  \\\n",
       "Country                             ...                        \n",
       "United States                    0  ...                  376   \n",
       "Brazil                           0  ...                    0   \n",
       "Russia                           0  ...                  115   \n",
       "Japan                            0  ...                    0   \n",
       "Vietnam                          0  ...                    0   \n",
       "\n",
       "Years          2014-01-01 00:00:00  2015-01-01 00:00:00  2016-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                  280                  301                  229   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                         127                  237                  217   \n",
       "Japan                            0                    0                    2   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          2017-01-01 00:00:00  2018-01-01 00:00:00  2019-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                  213                  198                  118   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                         260                  329                  189   \n",
       "Japan                            2                    0                    0   \n",
       "Vietnam                          1                    3                    0   \n",
       "\n",
       "Years          2020-01-01 00:00:00   Latitude   Longitude  \n",
       "Country                                                    \n",
       "United States                    2  39.783730 -100.445882  \n",
       "Brazil                           0 -10.333333  -53.200000  \n",
       "Russia                          16  64.686314   97.745306  \n",
       "Japan                            0  36.574844  139.239418  \n",
       "Vietnam                          0  15.926666  107.965086  \n",
       "\n",
       "[5 rows x 106 columns]"
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  {
   "cell_type": "markdown",
   "id": "ffbdf81e",
   "metadata": {},
   "source": [
    "Now (finally) we can plot those points on our map using just the lat/long:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "8af51649",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "Years        Country   Latitude   Longitude\n",
       "0      United States  39.783730 -100.445882\n",
       "1             Brazil -10.333333  -53.200000\n",
       "2             Russia  64.686314   97.745306\n",
       "3              Japan  36.574844  139.239418\n",
       "4            Vietnam  15.926666  107.965086"
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     "execution_count": 39,
     "metadata": {},
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   "source": [
    "corg_subset = corg_clean_t.reset_index()[['Country','Latitude','Longitude']]\n",
    "corg_subset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "d2e22c68",
   "metadata": {},
   "outputs": [
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       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"layer\": [{\"data\": {\"url\": \"https://cdn.jsdelivr.net/npm/vega-datasets@v1.29.0/data/world-110m.json\", \"format\": {\"feature\": \"countries\", \"type\": \"topojson\"}}, \"mark\": {\"type\": \"geoshape\", \"fill\": \"gray\", \"stroke\": \"white\"}, \"projection\": {\"type\": \"equirectangular\"}}, {\"data\": {\"name\": \"data-720343f289d4540be5a8c4c2fcd06c1a\"}, \"mark\": {\"type\": \"circle\"}, \"encoding\": {\"latitude\": {\"field\": \"Latitude\", \"type\": \"quantitative\"}, \"longitude\": {\"field\": \"Longitude\", \"type\": \"quantitative\"}, \"size\": {\"value\": 100}, \"tooltip\": {\"field\": \"Country\", \"type\": \"nominal\"}}}], \"height\": 500, \"width\": 800, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-720343f289d4540be5a8c4c2fcd06c1a\": [{\"Country\": \"United States\", \"Latitude\": 39.7837304, \"Longitude\": -100.445882}, {\"Country\": \"Brazil\", \"Latitude\": -10.3333333, \"Longitude\": -53.2}, {\"Country\": \"Russia\", \"Latitude\": 64.6863136, \"Longitude\": 97.7453061}, {\"Country\": \"Japan\", \"Latitude\": 36.5748441, \"Longitude\": 139.2394179}, {\"Country\": \"Vietnam\", \"Latitude\": 15.9266657, \"Longitude\": 107.9650855}, {\"Country\": \"Germany\", \"Latitude\": 51.1638175, \"Longitude\": 10.4478313}, {\"Country\": \"France\", \"Latitude\": 46.603354, \"Longitude\": 1.8883335}, {\"Country\": \"United Kingdom\", \"Latitude\": 54.7023545, \"Longitude\": -3.2765753}, {\"Country\": \"Italy\", \"Latitude\": 42.6384261, \"Longitude\": 12.674297}, {\"Country\": \"South Africa\", \"Latitude\": -28.8166236, \"Longitude\": 24.991639}, {\"Country\": \"Ukraine\", \"Latitude\": 49.4871968, \"Longitude\": 31.2718321}, {\"Country\": \"Spain\", \"Latitude\": 39.3260685, \"Longitude\": -4.8379791}, {\"Country\": \"Poland\", \"Latitude\": 52.215933, \"Longitude\": 19.134422}, {\"Country\": \"Canada\", \"Latitude\": 61.0666922, \"Longitude\": -107.991707}, {\"Country\": \"Korea, North\", \"Latitude\": 40.3736611, \"Longitude\": 127.0870417}, {\"Country\": \"Romania\", \"Latitude\": 45.9852129, \"Longitude\": 24.6859225}, {\"Country\": \"Australia\", \"Latitude\": -24.7761086, \"Longitude\": 134.755}, {\"Country\": \"Portugal\", \"Latitude\": 39.6621648, \"Longitude\": -8.1353519}, {\"Country\": \"Belgium\", \"Latitude\": 50.6402809, \"Longitude\": 4.6667145}, {\"Country\": \"Czech Republic\", \"Latitude\": 49.7439047, \"Longitude\": 15.3381061}, {\"Country\": \"Hungary\", \"Latitude\": 47.1817585, \"Longitude\": 19.5060937}, {\"Country\": \"Belarus\", \"Latitude\": 53.4250605, \"Longitude\": 27.6971358}, {\"Country\": \"Sweden\", \"Latitude\": 59.6749712, \"Longitude\": 14.5208584}, {\"Country\": \"Austria\", \"Latitude\": 47.59397, \"Longitude\": 14.12456}, {\"Country\": \"Switzerland\", \"Latitude\": 46.7985624, \"Longitude\": 8.2319736}, {\"Country\": \"Israel\", \"Latitude\": 31.39480005, \"Longitude\": 34.63358319049945}, {\"Country\": \"Serbia\", \"Latitude\": 44.1534121, \"Longitude\": 20.55144}, {\"Country\": \"Denmark\", \"Latitude\": 55.670249, \"Longitude\": 10.3333283}, {\"Country\": \"Finland\", \"Latitude\": 63.2467777, \"Longitude\": 25.9209164}, {\"Country\": \"Norway\", \"Latitude\": 61.1529386, \"Longitude\": 8.7876653}, {\"Country\": \"Croatia\", \"Latitude\": 45.3658443, \"Longitude\": 15.6575209}, {\"Country\": \"New Zealand\", \"Latitude\": -41.5000831, \"Longitude\": 172.8344077}, {\"Country\": \"Ireland\", \"Latitude\": 52.865196, \"Longitude\": -7.9794599}, {\"Country\": \"Lithuania\", \"Latitude\": 55.3500003, \"Longitude\": 23.7499997}, {\"Country\": \"Uruguay\", \"Latitude\": -32.8755548, \"Longitude\": -56.0201525}, {\"Country\": \"Latvia\", \"Latitude\": 56.8406494, \"Longitude\": 24.7537645}, {\"Country\": \"Slovenia\", \"Latitude\": 46.1199444, \"Longitude\": 14.8153333}, {\"Country\": \"Estonia\", \"Latitude\": 58.7523778, \"Longitude\": 25.3319078}, {\"Country\": \"Netherlands\", \"Latitude\": 52.24764975, \"Longitude\": 5.541246849406163}, {\"Country\": \"Kosovo\", \"Latitude\": 42.5869578, \"Longitude\": 20.9021231}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo = alt.topo_feature(data.world_110m.url, feature='countries')\n",
    "\n",
    "# US states background\n",
    "world = alt.Chart(geo).mark_geoshape(\n",
    "    fill='gray',\n",
    "    stroke='white'\n",
    ").properties(\n",
    "    width=800,\n",
    "    height=500\n",
    ").project('equirectangular') # note we have a few projections we can use!\n",
    "\n",
    "points = alt.Chart(corg_subset).mark_circle().encode(\n",
    "    longitude='Longitude:Q',\n",
    "    latitude='Latitude:Q',\n",
    "    size=alt.value(100),\n",
    "    tooltip='Country'\n",
    ")\n",
    "\n",
    "world + points"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f31fdc4",
   "metadata": {},
   "source": [
    "We probably want the size of the dot to be proportional to the actual number of corgis born."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d51446fe",
   "metadata": {},
   "source": [
    "To start, let's just plot the total corgis born in a country:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "04940dd3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Years</th>\n",
       "      <th>1917-01-01</th>\n",
       "      <th>1918-01-01</th>\n",
       "      <th>1919-01-01</th>\n",
       "      <th>1920-01-01</th>\n",
       "      <th>1921-01-01</th>\n",
       "      <th>1922-01-01</th>\n",
       "      <th>1923-01-01</th>\n",
       "      <th>1924-01-01</th>\n",
       "      <th>1925-01-01</th>\n",
       "      <th>1926-01-01</th>\n",
       "      <th>...</th>\n",
       "      <th>2011-01-01</th>\n",
       "      <th>2012-01-01</th>\n",
       "      <th>2013-01-01</th>\n",
       "      <th>2014-01-01</th>\n",
       "      <th>2015-01-01</th>\n",
       "      <th>2016-01-01</th>\n",
       "      <th>2017-01-01</th>\n",
       "      <th>2018-01-01</th>\n",
       "      <th>2019-01-01</th>\n",
       "      <th>2020-01-01</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>408</td>\n",
       "      <td>431</td>\n",
       "      <td>376</td>\n",
       "      <td>280</td>\n",
       "      <td>301</td>\n",
       "      <td>229</td>\n",
       "      <td>213</td>\n",
       "      <td>198</td>\n",
       "      <td>118</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>89</td>\n",
       "      <td>82</td>\n",
       "      <td>115</td>\n",
       "      <td>127</td>\n",
       "      <td>237</td>\n",
       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 104 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Years          1917-01-01  1918-01-01  1919-01-01  1920-01-01  1921-01-01  \\\n",
       "Country                                                                     \n",
       "United States           0           0           0           0           0   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                  0           0           0           0           0   \n",
       "Japan                   0           0           0           0           0   \n",
       "Vietnam                 0           0           0           0           0   \n",
       "\n",
       "Years          1922-01-01  1923-01-01  1924-01-01  1925-01-01  1926-01-01  \\\n",
       "Country                                                                     \n",
       "United States           0           0           0           0           0   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                  0           0           0           0           0   \n",
       "Japan                   0           0           0           0           0   \n",
       "Vietnam                 0           0           0           0           0   \n",
       "\n",
       "Years          ...  2011-01-01  2012-01-01  2013-01-01  2014-01-01  \\\n",
       "Country        ...                                                   \n",
       "United States  ...         408         431         376         280   \n",
       "Brazil         ...           0           0           0           0   \n",
       "Russia         ...          89          82         115         127   \n",
       "Japan          ...           0           0           0           0   \n",
       "Vietnam        ...           0           0           0           0   \n",
       "\n",
       "Years          2015-01-01  2016-01-01  2017-01-01  2018-01-01  2019-01-01  \\\n",
       "Country                                                                     \n",
       "United States         301         229         213         198         118   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                237         217         260         329         189   \n",
       "Japan                   0           2           2           0           0   \n",
       "Vietnam                 0           0           1           3           0   \n",
       "\n",
       "Years          2020-01-01  \n",
       "Country                    \n",
       "United States           2  \n",
       "Brazil                  0  \n",
       "Russia                 16  \n",
       "Japan                   0  \n",
       "Vietnam                 0  \n",
       "\n",
       "[5 rows x 104 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean_t.loc[:, (corg_clean_t.columns != 'Longitude') & (corg_clean_t.columns != \"Latitude\")].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8812a49a",
   "metadata": {},
   "source": [
    "Now we can sum along the Country axis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "f5aa8ea0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "United States     16130\n",
       "Brazil                1\n",
       "Russia             1834\n",
       "Japan                 7\n",
       "Vietnam               4\n",
       "Germany             892\n",
       "France              597\n",
       "United Kingdom     2649\n",
       "Italy               106\n",
       "South Africa         28\n",
       "Ukraine              19\n",
       "Spain                 5\n",
       "Poland              859\n",
       "Canada              391\n",
       "Korea, North          5\n",
       "Romania               7\n",
       "Australia           891\n",
       "Portugal              7\n",
       "Belgium             110\n",
       "Czech Republic      271\n",
       "Hungary               8\n",
       "Belarus              38\n",
       "Sweden             2008\n",
       "Austria              29\n",
       "Switzerland          30\n",
       "Israel               32\n",
       "Serbia                2\n",
       "Denmark            2176\n",
       "Finland            4051\n",
       "Norway             1077\n",
       "Croatia              21\n",
       "New Zealand        1097\n",
       "Ireland              29\n",
       "Lithuania            29\n",
       "Uruguay               2\n",
       "Latvia                3\n",
       "Slovenia              1\n",
       "Estonia              97\n",
       "Netherlands         536\n",
       "Kosovo              649\n",
       "dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean_t.loc[:, (corg_clean_t.columns != 'Longitude') & (corg_clean_t.columns != \"Latitude\")].sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "ceffa58a",
   "metadata": {},
   "outputs": [],
   "source": [
    "corg_clean_t['Total Corg'] = corg_clean_t.loc[:, (corg_clean_t.columns != 'Longitude') & (corg_clean_t.columns != \"Latitude\")].sum(axis=1).values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "0e8c048e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Years</th>\n",
       "      <th>1917-01-01 00:00:00</th>\n",
       "      <th>1918-01-01 00:00:00</th>\n",
       "      <th>1919-01-01 00:00:00</th>\n",
       "      <th>1920-01-01 00:00:00</th>\n",
       "      <th>1921-01-01 00:00:00</th>\n",
       "      <th>1922-01-01 00:00:00</th>\n",
       "      <th>1923-01-01 00:00:00</th>\n",
       "      <th>1924-01-01 00:00:00</th>\n",
       "      <th>1925-01-01 00:00:00</th>\n",
       "      <th>1926-01-01 00:00:00</th>\n",
       "      <th>...</th>\n",
       "      <th>2014-01-01 00:00:00</th>\n",
       "      <th>2015-01-01 00:00:00</th>\n",
       "      <th>2016-01-01 00:00:00</th>\n",
       "      <th>2017-01-01 00:00:00</th>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <th>2019-01-01 00:00:00</th>\n",
       "      <th>2020-01-01 00:00:00</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Total Corg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>280</td>\n",
       "      <td>301</td>\n",
       "      <td>229</td>\n",
       "      <td>213</td>\n",
       "      <td>198</td>\n",
       "      <td>118</td>\n",
       "      <td>2</td>\n",
       "      <td>39.783730</td>\n",
       "      <td>-100.445882</td>\n",
       "      <td>16130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-10.333333</td>\n",
       "      <td>-53.200000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>127</td>\n",
       "      <td>237</td>\n",
       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
       "      <td>64.686314</td>\n",
       "      <td>97.745306</td>\n",
       "      <td>1834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36.574844</td>\n",
       "      <td>139.239418</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15.926666</td>\n",
       "      <td>107.965086</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 107 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Years          1917-01-01 00:00:00  1918-01-01 00:00:00  1919-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1920-01-01 00:00:00  1921-01-01 00:00:00  1922-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1923-01-01 00:00:00  1924-01-01 00:00:00  1925-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1926-01-01 00:00:00  ...  2014-01-01 00:00:00  \\\n",
       "Country                             ...                        \n",
       "United States                    0  ...                  280   \n",
       "Brazil                           0  ...                    0   \n",
       "Russia                           0  ...                  127   \n",
       "Japan                            0  ...                    0   \n",
       "Vietnam                          0  ...                    0   \n",
       "\n",
       "Years          2015-01-01 00:00:00  2016-01-01 00:00:00  2017-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                  301                  229                  213   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                         237                  217                  260   \n",
       "Japan                            0                    2                    2   \n",
       "Vietnam                          0                    0                    1   \n",
       "\n",
       "Years          2018-01-01 00:00:00  2019-01-01 00:00:00  2020-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                  198                  118                    2   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                         329                  189                   16   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          3                    0                    0   \n",
       "\n",
       "Years           Latitude   Longitude  Total Corg  \n",
       "Country                                           \n",
       "United States  39.783730 -100.445882       16130  \n",
       "Brazil        -10.333333  -53.200000           1  \n",
       "Russia         64.686314   97.745306        1834  \n",
       "Japan          36.574844  139.239418           7  \n",
       "Vietnam        15.926666  107.965086           4  \n",
       "\n",
       "[5 rows x 107 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean_t.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a561485c",
   "metadata": {},
   "source": [
    "Let's again subset our data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a0e18e70",
   "metadata": {},
   "outputs": [],
   "source": [
    "corg_subset2 = corg_clean_t.reset_index()[['Country','Latitude','Longitude','Total Corg']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "6ea03e09",
   "metadata": {},
   "outputs": [
    {
     "data": {
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271}, {\"Country\": \"Hungary\", \"Latitude\": 47.1817585, \"Longitude\": 19.5060937, \"Total Corg\": 8}, {\"Country\": \"Belarus\", \"Latitude\": 53.4250605, \"Longitude\": 27.6971358, \"Total Corg\": 38}, {\"Country\": \"Sweden\", \"Latitude\": 59.6749712, \"Longitude\": 14.5208584, \"Total Corg\": 2008}, {\"Country\": \"Austria\", \"Latitude\": 47.59397, \"Longitude\": 14.12456, \"Total Corg\": 29}, {\"Country\": \"Switzerland\", \"Latitude\": 46.7985624, \"Longitude\": 8.2319736, \"Total Corg\": 30}, {\"Country\": \"Israel\", \"Latitude\": 31.39480005, \"Longitude\": 34.63358319049945, \"Total Corg\": 32}, {\"Country\": \"Serbia\", \"Latitude\": 44.1534121, \"Longitude\": 20.55144, \"Total Corg\": 2}, {\"Country\": \"Denmark\", \"Latitude\": 55.670249, \"Longitude\": 10.3333283, \"Total Corg\": 2176}, {\"Country\": \"Finland\", \"Latitude\": 63.2467777, \"Longitude\": 25.9209164, \"Total Corg\": 4051}, {\"Country\": \"Norway\", \"Latitude\": 61.1529386, \"Longitude\": 8.7876653, \"Total Corg\": 1077}, {\"Country\": \"Croatia\", \"Latitude\": 45.3658443, \"Longitude\": 15.6575209, \"Total Corg\": 21}, {\"Country\": \"New Zealand\", \"Latitude\": -41.5000831, \"Longitude\": 172.8344077, \"Total Corg\": 1097}, {\"Country\": \"Ireland\", \"Latitude\": 52.865196, \"Longitude\": -7.9794599, \"Total Corg\": 29}, {\"Country\": \"Lithuania\", \"Latitude\": 55.3500003, \"Longitude\": 23.7499997, \"Total Corg\": 29}, {\"Country\": \"Uruguay\", \"Latitude\": -32.8755548, \"Longitude\": -56.0201525, \"Total Corg\": 2}, {\"Country\": \"Latvia\", \"Latitude\": 56.8406494, \"Longitude\": 24.7537645, \"Total Corg\": 3}, {\"Country\": \"Slovenia\", \"Latitude\": 46.1199444, \"Longitude\": 14.8153333, \"Total Corg\": 1}, {\"Country\": \"Estonia\", \"Latitude\": 58.7523778, \"Longitude\": 25.3319078, \"Total Corg\": 97}, {\"Country\": \"Netherlands\", \"Latitude\": 52.24764975, \"Longitude\": 5.541246849406163, \"Total Corg\": 536}, {\"Country\": \"Kosovo\", \"Latitude\": 42.5869578, \"Longitude\": 20.9021231, \"Total Corg\": 649}]}}, {\"mode\": \"vega-lite\"});\n",
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      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo = alt.topo_feature(data.world_110m.url, feature='countries')\n",
    "\n",
    "# US states background\n",
    "world = alt.Chart(geo).mark_geoshape(\n",
    "    fill='gray',\n",
    "    stroke='white'\n",
    ").properties(\n",
    "    width=800,\n",
    "    height=500\n",
    ").project('equirectangular') # note we have a few projections we can use!\n",
    "\n",
    "points = alt.Chart(corg_subset2).mark_circle().encode(\n",
    "    longitude='Longitude:Q',\n",
    "    latitude='Latitude:Q',\n",
    "    size=alt.Size('Total Corg:Q'),\n",
    "    tooltip='Country',\n",
    ")\n",
    "\n",
    "world + points"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "395f4c9e",
   "metadata": {},
   "source": [
    "By default, we see that there is some scale applied to the points where there are some that are very small.  Let's see if we can mess with this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "04936076",
   "metadata": {},
   "outputs": [
    {
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\"Latitude\": 39.7837304, \"Longitude\": -100.445882, \"Total Corg\": 16130}, {\"Country\": \"Brazil\", \"Latitude\": -10.3333333, \"Longitude\": -53.2, \"Total Corg\": 1}, {\"Country\": \"Russia\", \"Latitude\": 64.6863136, \"Longitude\": 97.7453061, \"Total Corg\": 1834}, {\"Country\": \"Japan\", \"Latitude\": 36.5748441, \"Longitude\": 139.2394179, \"Total Corg\": 7}, {\"Country\": \"Vietnam\", \"Latitude\": 15.9266657, \"Longitude\": 107.9650855, \"Total Corg\": 4}, {\"Country\": \"Germany\", \"Latitude\": 51.1638175, \"Longitude\": 10.4478313, \"Total Corg\": 892}, {\"Country\": \"France\", \"Latitude\": 46.603354, \"Longitude\": 1.8883335, \"Total Corg\": 597}, {\"Country\": \"United Kingdom\", \"Latitude\": 54.7023545, \"Longitude\": -3.2765753, \"Total Corg\": 2649}, {\"Country\": \"Italy\", \"Latitude\": 42.6384261, \"Longitude\": 12.674297, \"Total Corg\": 106}, {\"Country\": \"South Africa\", \"Latitude\": -28.8166236, \"Longitude\": 24.991639, \"Total Corg\": 28}, {\"Country\": \"Ukraine\", \"Latitude\": 49.4871968, \"Longitude\": 31.2718321, \"Total Corg\": 19}, {\"Country\": \"Spain\", \"Latitude\": 39.3260685, \"Longitude\": -4.8379791, \"Total Corg\": 5}, {\"Country\": \"Poland\", \"Latitude\": 52.215933, \"Longitude\": 19.134422, \"Total Corg\": 859}, {\"Country\": \"Canada\", \"Latitude\": 61.0666922, \"Longitude\": -107.991707, \"Total Corg\": 391}, {\"Country\": \"Korea, North\", \"Latitude\": 40.3736611, \"Longitude\": 127.0870417, \"Total Corg\": 5}, {\"Country\": \"Romania\", \"Latitude\": 45.9852129, \"Longitude\": 24.6859225, \"Total Corg\": 7}, {\"Country\": \"Australia\", \"Latitude\": -24.7761086, \"Longitude\": 134.755, \"Total Corg\": 891}, {\"Country\": \"Portugal\", \"Latitude\": 39.6621648, \"Longitude\": -8.1353519, \"Total Corg\": 7}, {\"Country\": \"Belgium\", \"Latitude\": 50.6402809, \"Longitude\": 4.6667145, \"Total Corg\": 110}, {\"Country\": \"Czech Republic\", \"Latitude\": 49.7439047, \"Longitude\": 15.3381061, \"Total Corg\": 271}, {\"Country\": \"Hungary\", \"Latitude\": 47.1817585, \"Longitude\": 19.5060937, \"Total Corg\": 8}, {\"Country\": \"Belarus\", \"Latitude\": 53.4250605, \"Longitude\": 27.6971358, \"Total Corg\": 38}, {\"Country\": \"Sweden\", \"Latitude\": 59.6749712, \"Longitude\": 14.5208584, \"Total Corg\": 2008}, {\"Country\": \"Austria\", \"Latitude\": 47.59397, \"Longitude\": 14.12456, \"Total Corg\": 29}, {\"Country\": \"Switzerland\", \"Latitude\": 46.7985624, \"Longitude\": 8.2319736, \"Total Corg\": 30}, {\"Country\": \"Israel\", \"Latitude\": 31.39480005, \"Longitude\": 34.63358319049945, \"Total Corg\": 32}, {\"Country\": \"Serbia\", \"Latitude\": 44.1534121, \"Longitude\": 20.55144, \"Total Corg\": 2}, {\"Country\": \"Denmark\", \"Latitude\": 55.670249, \"Longitude\": 10.3333283, \"Total Corg\": 2176}, {\"Country\": \"Finland\", \"Latitude\": 63.2467777, \"Longitude\": 25.9209164, \"Total Corg\": 4051}, {\"Country\": \"Norway\", \"Latitude\": 61.1529386, \"Longitude\": 8.7876653, \"Total Corg\": 1077}, {\"Country\": \"Croatia\", \"Latitude\": 45.3658443, \"Longitude\": 15.6575209, \"Total Corg\": 21}, {\"Country\": \"New Zealand\", \"Latitude\": -41.5000831, \"Longitude\": 172.8344077, \"Total Corg\": 1097}, {\"Country\": \"Ireland\", \"Latitude\": 52.865196, \"Longitude\": -7.9794599, \"Total Corg\": 29}, {\"Country\": \"Lithuania\", \"Latitude\": 55.3500003, \"Longitude\": 23.7499997, \"Total Corg\": 29}, {\"Country\": \"Uruguay\", \"Latitude\": -32.8755548, \"Longitude\": -56.0201525, \"Total Corg\": 2}, {\"Country\": \"Latvia\", \"Latitude\": 56.8406494, \"Longitude\": 24.7537645, \"Total Corg\": 3}, {\"Country\": \"Slovenia\", \"Latitude\": 46.1199444, \"Longitude\": 14.8153333, \"Total Corg\": 1}, {\"Country\": \"Estonia\", \"Latitude\": 58.7523778, \"Longitude\": 25.3319078, \"Total Corg\": 97}, {\"Country\": \"Netherlands\", \"Latitude\": 52.24764975, \"Longitude\": 5.541246849406163, \"Total Corg\": 536}, {\"Country\": \"Kosovo\", \"Latitude\": 42.5869578, \"Longitude\": 20.9021231, \"Total Corg\": 649}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo = alt.topo_feature(data.world_110m.url, feature='countries')\n",
    "\n",
    "# US states background\n",
    "world = alt.Chart(geo).mark_geoshape(\n",
    "    fill='gray',\n",
    "    stroke='white'\n",
    ").properties(\n",
    "    width=800,\n",
    "    height=500\n",
    ").project('equirectangular') # note we have a few projections we can use!\n",
    "\n",
    "points = alt.Chart(corg_subset2).mark_circle().encode(\n",
    "    longitude='Longitude:Q',\n",
    "    latitude='Latitude:Q',\n",
    "    size=alt.Size('Total Corg:Q',scale=None),\n",
    "    tooltip='Country',\n",
    ")\n",
    "\n",
    "world + points"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a3e1a96",
   "metadata": {},
   "source": [
    "Whoa!  Now that seems to have gone the other way!  Now we have so many overlapping points that its hard to see in \"high corgi\" areas like the UK.  Let's try a log scale:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "33af2154",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-2184bc8330fa4d2ca436d3e3044bb54b\"></div>\n",
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       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
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       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
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       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
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       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
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       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
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Corg\": 28}, {\"Country\": \"Ukraine\", \"Latitude\": 49.4871968, \"Longitude\": 31.2718321, \"Total Corg\": 19}, {\"Country\": \"Spain\", \"Latitude\": 39.3260685, \"Longitude\": -4.8379791, \"Total Corg\": 5}, {\"Country\": \"Poland\", \"Latitude\": 52.215933, \"Longitude\": 19.134422, \"Total Corg\": 859}, {\"Country\": \"Canada\", \"Latitude\": 61.0666922, \"Longitude\": -107.991707, \"Total Corg\": 391}, {\"Country\": \"Korea, North\", \"Latitude\": 40.3736611, \"Longitude\": 127.0870417, \"Total Corg\": 5}, {\"Country\": \"Romania\", \"Latitude\": 45.9852129, \"Longitude\": 24.6859225, \"Total Corg\": 7}, {\"Country\": \"Australia\", \"Latitude\": -24.7761086, \"Longitude\": 134.755, \"Total Corg\": 891}, {\"Country\": \"Portugal\", \"Latitude\": 39.6621648, \"Longitude\": -8.1353519, \"Total Corg\": 7}, {\"Country\": \"Belgium\", \"Latitude\": 50.6402809, \"Longitude\": 4.6667145, \"Total Corg\": 110}, {\"Country\": \"Czech Republic\", \"Latitude\": 49.7439047, \"Longitude\": 15.3381061, \"Total Corg\": 271}, {\"Country\": \"Hungary\", \"Latitude\": 47.1817585, \"Longitude\": 19.5060937, \"Total Corg\": 8}, {\"Country\": \"Belarus\", \"Latitude\": 53.4250605, \"Longitude\": 27.6971358, \"Total Corg\": 38}, {\"Country\": \"Sweden\", \"Latitude\": 59.6749712, \"Longitude\": 14.5208584, \"Total Corg\": 2008}, {\"Country\": \"Austria\", \"Latitude\": 47.59397, \"Longitude\": 14.12456, \"Total Corg\": 29}, {\"Country\": \"Switzerland\", \"Latitude\": 46.7985624, \"Longitude\": 8.2319736, \"Total Corg\": 30}, {\"Country\": \"Israel\", \"Latitude\": 31.39480005, \"Longitude\": 34.63358319049945, \"Total Corg\": 32}, {\"Country\": \"Serbia\", \"Latitude\": 44.1534121, \"Longitude\": 20.55144, \"Total Corg\": 2}, {\"Country\": \"Denmark\", \"Latitude\": 55.670249, \"Longitude\": 10.3333283, \"Total Corg\": 2176}, {\"Country\": \"Finland\", \"Latitude\": 63.2467777, \"Longitude\": 25.9209164, \"Total Corg\": 4051}, {\"Country\": \"Norway\", \"Latitude\": 61.1529386, \"Longitude\": 8.7876653, \"Total Corg\": 1077}, {\"Country\": \"Croatia\", \"Latitude\": 45.3658443, \"Longitude\": 15.6575209, \"Total Corg\": 21}, {\"Country\": \"New Zealand\", \"Latitude\": -41.5000831, \"Longitude\": 172.8344077, \"Total Corg\": 1097}, {\"Country\": \"Ireland\", \"Latitude\": 52.865196, \"Longitude\": -7.9794599, \"Total Corg\": 29}, {\"Country\": \"Lithuania\", \"Latitude\": 55.3500003, \"Longitude\": 23.7499997, \"Total Corg\": 29}, {\"Country\": \"Uruguay\", \"Latitude\": -32.8755548, \"Longitude\": -56.0201525, \"Total Corg\": 2}, {\"Country\": \"Latvia\", \"Latitude\": 56.8406494, \"Longitude\": 24.7537645, \"Total Corg\": 3}, {\"Country\": \"Slovenia\", \"Latitude\": 46.1199444, \"Longitude\": 14.8153333, \"Total Corg\": 1}, {\"Country\": \"Estonia\", \"Latitude\": 58.7523778, \"Longitude\": 25.3319078, \"Total Corg\": 97}, {\"Country\": \"Netherlands\", \"Latitude\": 52.24764975, \"Longitude\": 5.541246849406163, \"Total Corg\": 536}, {\"Country\": \"Kosovo\", \"Latitude\": 42.5869578, \"Longitude\": 20.9021231, \"Total Corg\": 649}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo = alt.topo_feature(data.world_110m.url, feature='countries')\n",
    "\n",
    "# US states background\n",
    "world = alt.Chart(geo).mark_geoshape(\n",
    "    fill='gray',\n",
    "    stroke='white'\n",
    ").properties(\n",
    "    width=800,\n",
    "    height=500\n",
    ").project('equirectangular') # note we have a few projections we can use!\n",
    "\n",
    "points = alt.Chart(corg_subset2).mark_circle().encode(\n",
    "    longitude='Longitude:Q',\n",
    "    latitude='Latitude:Q',\n",
    "    size=alt.Size('Total Corg:Q',scale=alt.Scale(type='log')),\n",
    "    tooltip='Country',\n",
    ")\n",
    "\n",
    "world + points"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7eba854d",
   "metadata": {},
   "source": [
    "Hey that looks better!  Though, that blue is a bit hard to see, let's try messing with the colors:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "823bb08d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-fc146fc5ecfe46a88610318309cdee37\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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       "    let outputDiv = document.currentScript.previousElementSibling;\n",
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       "      outputDiv = document.getElementById(\"altair-viz-fc146fc5ecfe46a88610318309cdee37\");\n",
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       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
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       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
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       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
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       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
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       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"layer\": [{\"data\": {\"url\": \"https://cdn.jsdelivr.net/npm/vega-datasets@v1.29.0/data/world-110m.json\", \"format\": {\"feature\": \"countries\", \"type\": \"topojson\"}}, \"mark\": {\"type\": \"geoshape\", \"fill\": \"lightgray\", \"stroke\": \"white\"}, \"projection\": {\"type\": \"equirectangular\"}}, {\"data\": {\"name\": \"data-b361503b3ee0fae9b2e6c41b74a07169\"}, \"mark\": {\"type\": \"circle\"}, \"encoding\": {\"latitude\": {\"field\": \"Latitude\", \"type\": \"quantitative\"}, \"longitude\": {\"field\": \"Longitude\", \"type\": \"quantitative\"}, \"size\": {\"field\": \"Total Corg\", \"scale\": {\"type\": \"log\"}, \"type\": \"quantitative\"}, \"tooltip\": {\"field\": \"Country\", \"type\": \"nominal\"}}}], \"height\": 500, \"width\": 800, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-b361503b3ee0fae9b2e6c41b74a07169\": [{\"Country\": 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Corg\": 28}, {\"Country\": \"Ukraine\", \"Latitude\": 49.4871968, \"Longitude\": 31.2718321, \"Total Corg\": 19}, {\"Country\": \"Spain\", \"Latitude\": 39.3260685, \"Longitude\": -4.8379791, \"Total Corg\": 5}, {\"Country\": \"Poland\", \"Latitude\": 52.215933, \"Longitude\": 19.134422, \"Total Corg\": 859}, {\"Country\": \"Canada\", \"Latitude\": 61.0666922, \"Longitude\": -107.991707, \"Total Corg\": 391}, {\"Country\": \"Korea, North\", \"Latitude\": 40.3736611, \"Longitude\": 127.0870417, \"Total Corg\": 5}, {\"Country\": \"Romania\", \"Latitude\": 45.9852129, \"Longitude\": 24.6859225, \"Total Corg\": 7}, {\"Country\": \"Australia\", \"Latitude\": -24.7761086, \"Longitude\": 134.755, \"Total Corg\": 891}, {\"Country\": \"Portugal\", \"Latitude\": 39.6621648, \"Longitude\": -8.1353519, \"Total Corg\": 7}, {\"Country\": \"Belgium\", \"Latitude\": 50.6402809, \"Longitude\": 4.6667145, \"Total Corg\": 110}, {\"Country\": \"Czech Republic\", \"Latitude\": 49.7439047, \"Longitude\": 15.3381061, \"Total Corg\": 271}, {\"Country\": \"Hungary\", \"Latitude\": 47.1817585, \"Longitude\": 19.5060937, \"Total Corg\": 8}, {\"Country\": \"Belarus\", \"Latitude\": 53.4250605, \"Longitude\": 27.6971358, \"Total Corg\": 38}, {\"Country\": \"Sweden\", \"Latitude\": 59.6749712, \"Longitude\": 14.5208584, \"Total Corg\": 2008}, {\"Country\": \"Austria\", \"Latitude\": 47.59397, \"Longitude\": 14.12456, \"Total Corg\": 29}, {\"Country\": \"Switzerland\", \"Latitude\": 46.7985624, \"Longitude\": 8.2319736, \"Total Corg\": 30}, {\"Country\": \"Israel\", \"Latitude\": 31.39480005, \"Longitude\": 34.63358319049945, \"Total Corg\": 32}, {\"Country\": \"Serbia\", \"Latitude\": 44.1534121, \"Longitude\": 20.55144, \"Total Corg\": 2}, {\"Country\": \"Denmark\", \"Latitude\": 55.670249, \"Longitude\": 10.3333283, \"Total Corg\": 2176}, {\"Country\": \"Finland\", \"Latitude\": 63.2467777, \"Longitude\": 25.9209164, \"Total Corg\": 4051}, {\"Country\": \"Norway\", \"Latitude\": 61.1529386, \"Longitude\": 8.7876653, \"Total Corg\": 1077}, {\"Country\": \"Croatia\", \"Latitude\": 45.3658443, \"Longitude\": 15.6575209, \"Total Corg\": 21}, {\"Country\": \"New Zealand\", \"Latitude\": -41.5000831, \"Longitude\": 172.8344077, \"Total Corg\": 1097}, {\"Country\": \"Ireland\", \"Latitude\": 52.865196, \"Longitude\": -7.9794599, \"Total Corg\": 29}, {\"Country\": \"Lithuania\", \"Latitude\": 55.3500003, \"Longitude\": 23.7499997, \"Total Corg\": 29}, {\"Country\": \"Uruguay\", \"Latitude\": -32.8755548, \"Longitude\": -56.0201525, \"Total Corg\": 2}, {\"Country\": \"Latvia\", \"Latitude\": 56.8406494, \"Longitude\": 24.7537645, \"Total Corg\": 3}, {\"Country\": \"Slovenia\", \"Latitude\": 46.1199444, \"Longitude\": 14.8153333, \"Total Corg\": 1}, {\"Country\": \"Estonia\", \"Latitude\": 58.7523778, \"Longitude\": 25.3319078, \"Total Corg\": 97}, {\"Country\": \"Netherlands\", \"Latitude\": 52.24764975, \"Longitude\": 5.541246849406163, \"Total Corg\": 536}, {\"Country\": \"Kosovo\", \"Latitude\": 42.5869578, \"Longitude\": 20.9021231, \"Total Corg\": 649}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo = alt.topo_feature(data.world_110m.url, feature='countries')\n",
    "\n",
    "# US states background\n",
    "world = alt.Chart(geo).mark_geoshape(\n",
    "    fill='lightgray',\n",
    "    stroke='white'\n",
    ").properties(\n",
    "    width=800,\n",
    "    height=500\n",
    ").project('equirectangular') # note we have a few projections we can use!\n",
    "\n",
    "points = alt.Chart(corg_subset2).mark_circle().encode(\n",
    "    longitude='Longitude:Q',\n",
    "    latitude='Latitude:Q',\n",
    "    size=alt.Size('Total Corg:Q',scale=alt.Scale(type='log')),\n",
    "    tooltip='Country',\n",
    ")\n",
    "\n",
    "world + points"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1745af2d",
   "metadata": {},
   "source": [
    "Neat!  Now, wouldn't it be fun if we could see those data points \"grow\" over time.  Let's look at our dataframe again:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "8c674e4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Years</th>\n",
       "      <th>1917-01-01 00:00:00</th>\n",
       "      <th>1918-01-01 00:00:00</th>\n",
       "      <th>1919-01-01 00:00:00</th>\n",
       "      <th>1920-01-01 00:00:00</th>\n",
       "      <th>1921-01-01 00:00:00</th>\n",
       "      <th>1922-01-01 00:00:00</th>\n",
       "      <th>1923-01-01 00:00:00</th>\n",
       "      <th>1924-01-01 00:00:00</th>\n",
       "      <th>1925-01-01 00:00:00</th>\n",
       "      <th>1926-01-01 00:00:00</th>\n",
       "      <th>...</th>\n",
       "      <th>2014-01-01 00:00:00</th>\n",
       "      <th>2015-01-01 00:00:00</th>\n",
       "      <th>2016-01-01 00:00:00</th>\n",
       "      <th>2017-01-01 00:00:00</th>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <th>2019-01-01 00:00:00</th>\n",
       "      <th>2020-01-01 00:00:00</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Total Corg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>280</td>\n",
       "      <td>301</td>\n",
       "      <td>229</td>\n",
       "      <td>213</td>\n",
       "      <td>198</td>\n",
       "      <td>118</td>\n",
       "      <td>2</td>\n",
       "      <td>39.783730</td>\n",
       "      <td>-100.445882</td>\n",
       "      <td>16130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-10.333333</td>\n",
       "      <td>-53.200000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>127</td>\n",
       "      <td>237</td>\n",
       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
       "      <td>64.686314</td>\n",
       "      <td>97.745306</td>\n",
       "      <td>1834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36.574844</td>\n",
       "      <td>139.239418</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15.926666</td>\n",
       "      <td>107.965086</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 107 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Years          1917-01-01 00:00:00  1918-01-01 00:00:00  1919-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1920-01-01 00:00:00  1921-01-01 00:00:00  1922-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1923-01-01 00:00:00  1924-01-01 00:00:00  1925-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1926-01-01 00:00:00  ...  2014-01-01 00:00:00  \\\n",
       "Country                             ...                        \n",
       "United States                    0  ...                  280   \n",
       "Brazil                           0  ...                    0   \n",
       "Russia                           0  ...                  127   \n",
       "Japan                            0  ...                    0   \n",
       "Vietnam                          0  ...                    0   \n",
       "\n",
       "Years          2015-01-01 00:00:00  2016-01-01 00:00:00  2017-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                  301                  229                  213   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                         237                  217                  260   \n",
       "Japan                            0                    2                    2   \n",
       "Vietnam                          0                    0                    1   \n",
       "\n",
       "Years          2018-01-01 00:00:00  2019-01-01 00:00:00  2020-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                  198                  118                    2   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                         329                  189                   16   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          3                    0                    0   \n",
       "\n",
       "Years           Latitude   Longitude  Total Corg  \n",
       "Country                                           \n",
       "United States  39.783730 -100.445882       16130  \n",
       "Brazil        -10.333333  -53.200000           1  \n",
       "Russia         64.686314   97.745306        1834  \n",
       "Japan          36.574844  139.239418           7  \n",
       "Vietnam        15.926666  107.965086           4  \n",
       "\n",
       "[5 rows x 107 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean_t.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91d03087",
   "metadata": {},
   "source": [
    "Instead of total corgs overall, what we really want is total corgs over time. Luckily, our columns are in the correct date order:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "4b0fc8b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Years</th>\n",
       "      <th>1917-01-01 00:00:00</th>\n",
       "      <th>1918-01-01 00:00:00</th>\n",
       "      <th>1919-01-01 00:00:00</th>\n",
       "      <th>1920-01-01 00:00:00</th>\n",
       "      <th>1921-01-01 00:00:00</th>\n",
       "      <th>1922-01-01 00:00:00</th>\n",
       "      <th>1923-01-01 00:00:00</th>\n",
       "      <th>1924-01-01 00:00:00</th>\n",
       "      <th>1925-01-01 00:00:00</th>\n",
       "      <th>1926-01-01 00:00:00</th>\n",
       "      <th>...</th>\n",
       "      <th>2013-01-01 00:00:00</th>\n",
       "      <th>2014-01-01 00:00:00</th>\n",
       "      <th>2015-01-01 00:00:00</th>\n",
       "      <th>2016-01-01 00:00:00</th>\n",
       "      <th>2017-01-01 00:00:00</th>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <th>2019-01-01 00:00:00</th>\n",
       "      <th>2020-01-01 00:00:00</th>\n",
       "      <th>Latitude</th>\n",
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       "      <th>Country</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>376</td>\n",
       "      <td>280</td>\n",
       "      <td>301</td>\n",
       "      <td>229</td>\n",
       "      <td>213</td>\n",
       "      <td>198</td>\n",
       "      <td>118</td>\n",
       "      <td>2</td>\n",
       "      <td>39.783730</td>\n",
       "      <td>-100.445882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-10.333333</td>\n",
       "      <td>-53.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>115</td>\n",
       "      <td>127</td>\n",
       "      <td>237</td>\n",
       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
       "      <td>64.686314</td>\n",
       "      <td>97.745306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36.574844</td>\n",
       "      <td>139.239418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15.926666</td>\n",
       "      <td>107.965086</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 106 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Years          1917-01-01 00:00:00  1918-01-01 00:00:00  1919-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1920-01-01 00:00:00  1921-01-01 00:00:00  1922-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1923-01-01 00:00:00  1924-01-01 00:00:00  1925-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                    0                    0                    0   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                           0                    0                    0   \n",
       "Japan                            0                    0                    0   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          1926-01-01 00:00:00  ...  2013-01-01 00:00:00  \\\n",
       "Country                             ...                        \n",
       "United States                    0  ...                  376   \n",
       "Brazil                           0  ...                    0   \n",
       "Russia                           0  ...                  115   \n",
       "Japan                            0  ...                    0   \n",
       "Vietnam                          0  ...                    0   \n",
       "\n",
       "Years          2014-01-01 00:00:00  2015-01-01 00:00:00  2016-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                  280                  301                  229   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                         127                  237                  217   \n",
       "Japan                            0                    0                    2   \n",
       "Vietnam                          0                    0                    0   \n",
       "\n",
       "Years          2017-01-01 00:00:00  2018-01-01 00:00:00  2019-01-01 00:00:00  \\\n",
       "Country                                                                        \n",
       "United States                  213                  198                  118   \n",
       "Brazil                           0                    0                    0   \n",
       "Russia                         260                  329                  189   \n",
       "Japan                            2                    0                    0   \n",
       "Vietnam                          1                    3                    0   \n",
       "\n",
       "Years          2020-01-01 00:00:00   Latitude   Longitude  \n",
       "Country                                                    \n",
       "United States                    2  39.783730 -100.445882  \n",
       "Brazil                           0 -10.333333  -53.200000  \n",
       "Russia                          16  64.686314   97.745306  \n",
       "Japan                            0  36.574844  139.239418  \n",
       "Vietnam                          0  15.926666  107.965086  \n",
       "\n",
       "[5 rows x 106 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean2 = corg_clean_t.loc[:,(corg_clean_t.columns != 'Total Corg')].copy()\n",
    "corg_clean2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "040a6c82",
   "metadata": {},
   "outputs": [
    {
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       "      <td>118</td>\n",
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       "      <th>Russia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
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       "      <th>Japan</th>\n",
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       "Years          1917-01-01  1918-01-01  1919-01-01  1920-01-01  1921-01-01  \\\n",
       "Country                                                                     \n",
       "United States           0           0           0           0           0   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                  0           0           0           0           0   \n",
       "Japan                   0           0           0           0           0   \n",
       "Vietnam                 0           0           0           0           0   \n",
       "\n",
       "Years          1922-01-01  1923-01-01  1924-01-01  1925-01-01  1926-01-01  \\\n",
       "Country                                                                     \n",
       "United States           0           0           0           0           0   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                  0           0           0           0           0   \n",
       "Japan                   0           0           0           0           0   \n",
       "Vietnam                 0           0           0           0           0   \n",
       "\n",
       "Years          ...  2011-01-01  2012-01-01  2013-01-01  2014-01-01  \\\n",
       "Country        ...                                                   \n",
       "United States  ...         408         431         376         280   \n",
       "Brazil         ...           0           0           0           0   \n",
       "Russia         ...          89          82         115         127   \n",
       "Japan          ...           0           0           0           0   \n",
       "Vietnam        ...           0           0           0           0   \n",
       "\n",
       "Years          2015-01-01  2016-01-01  2017-01-01  2018-01-01  2019-01-01  \\\n",
       "Country                                                                     \n",
       "United States         301         229         213         198         118   \n",
       "Brazil                  0           0           0           0           0   \n",
       "Russia                237         217         260         329         189   \n",
       "Japan                   0           2           2           0           0   \n",
       "Vietnam                 0           0           1           3           0   \n",
       "\n",
       "Years          2020-01-01  \n",
       "Country                    \n",
       "United States           2  \n",
       "Brazil                  0  \n",
       "Russia                 16  \n",
       "Japan                   0  \n",
       "Vietnam                 0  \n",
       "\n",
       "[5 rows x 104 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean2.loc[:,(corg_clean2.columns != 'Latitude') & (corg_clean2.columns!='Longitude')].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "a242c754",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>450</td>\n",
       "      <td>510</td>\n",
       "      <td>535</td>\n",
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       "      <td>597</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>2509</td>\n",
       "      <td>2531</td>\n",
       "      <td>2557</td>\n",
       "      <td>2579</td>\n",
       "      <td>2605</td>\n",
       "      <td>2633</td>\n",
       "      <td>2643</td>\n",
       "      <td>2648</td>\n",
       "      <td>2649</td>\n",
       "      <td>2649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>81</td>\n",
       "      <td>81</td>\n",
       "      <td>81</td>\n",
       "      <td>94</td>\n",
       "      <td>96</td>\n",
       "      <td>98</td>\n",
       "      <td>102</td>\n",
       "      <td>104</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Africa</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>19</td>\n",
       "      <td>23</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ukraine</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poland</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>337</td>\n",
       "      <td>379</td>\n",
       "      <td>460</td>\n",
       "      <td>526</td>\n",
       "      <td>617</td>\n",
       "      <td>692</td>\n",
       "      <td>748</td>\n",
       "      <td>825</td>\n",
       "      <td>859</td>\n",
       "      <td>859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>329</td>\n",
       "      <td>344</td>\n",
       "      <td>359</td>\n",
       "      <td>364</td>\n",
       "      <td>377</td>\n",
       "      <td>383</td>\n",
       "      <td>386</td>\n",
       "      <td>390</td>\n",
       "      <td>391</td>\n",
       "      <td>391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Korea, North</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Romania</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>814</td>\n",
       "      <td>827</td>\n",
       "      <td>844</td>\n",
       "      <td>855</td>\n",
       "      <td>861</td>\n",
       "      <td>870</td>\n",
       "      <td>879</td>\n",
       "      <td>887</td>\n",
       "      <td>891</td>\n",
       "      <td>891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portugal</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgium</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>63</td>\n",
       "      <td>79</td>\n",
       "      <td>94</td>\n",
       "      <td>96</td>\n",
       "      <td>98</td>\n",
       "      <td>104</td>\n",
       "      <td>105</td>\n",
       "      <td>107</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Czech Republic</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>139</td>\n",
       "      <td>150</td>\n",
       "      <td>171</td>\n",
       "      <td>188</td>\n",
       "      <td>210</td>\n",
       "      <td>233</td>\n",
       "      <td>255</td>\n",
       "      <td>264</td>\n",
       "      <td>271</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hungary</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belarus</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>21</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sweden</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1214</td>\n",
       "      <td>1342</td>\n",
       "      <td>1461</td>\n",
       "      <td>1525</td>\n",
       "      <td>1643</td>\n",
       "      <td>1791</td>\n",
       "      <td>1928</td>\n",
       "      <td>1988</td>\n",
       "      <td>2007</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>28</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Israel</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serbia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denmark</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1549</td>\n",
       "      <td>1653</td>\n",
       "      <td>1760</td>\n",
       "      <td>1856</td>\n",
       "      <td>1967</td>\n",
       "      <td>2045</td>\n",
       "      <td>2115</td>\n",
       "      <td>2148</td>\n",
       "      <td>2176</td>\n",
       "      <td>2176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Finland</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2824</td>\n",
       "      <td>2967</td>\n",
       "      <td>3110</td>\n",
       "      <td>3308</td>\n",
       "      <td>3509</td>\n",
       "      <td>3695</td>\n",
       "      <td>3961</td>\n",
       "      <td>4044</td>\n",
       "      <td>4048</td>\n",
       "      <td>4051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Norway</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>434</td>\n",
       "      <td>503</td>\n",
       "      <td>570</td>\n",
       "      <td>669</td>\n",
       "      <td>770</td>\n",
       "      <td>873</td>\n",
       "      <td>970</td>\n",
       "      <td>1056</td>\n",
       "      <td>1077</td>\n",
       "      <td>1077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Croatia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Zealand</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1080</td>\n",
       "      <td>1080</td>\n",
       "      <td>1082</td>\n",
       "      <td>1083</td>\n",
       "      <td>1088</td>\n",
       "      <td>1091</td>\n",
       "      <td>1094</td>\n",
       "      <td>1097</td>\n",
       "      <td>1097</td>\n",
       "      <td>1097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ireland</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lithuania</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uruguay</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latvia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Slovenia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estonia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>30</td>\n",
       "      <td>57</td>\n",
       "      <td>65</td>\n",
       "      <td>81</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>323</td>\n",
       "      <td>375</td>\n",
       "      <td>417</td>\n",
       "      <td>448</td>\n",
       "      <td>470</td>\n",
       "      <td>487</td>\n",
       "      <td>512</td>\n",
       "      <td>524</td>\n",
       "      <td>536</td>\n",
       "      <td>536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kosovo</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>185</td>\n",
       "      <td>204</td>\n",
       "      <td>251</td>\n",
       "      <td>288</td>\n",
       "      <td>352</td>\n",
       "      <td>424</td>\n",
       "      <td>525</td>\n",
       "      <td>581</td>\n",
       "      <td>632</td>\n",
       "      <td>649</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>40 rows × 104 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Years           1917-01-01  1918-01-01  1919-01-01  1920-01-01  1921-01-01  \\\n",
       "Country                                                                      \n",
       "United States            0           0           0           0           0   \n",
       "Brazil                   0           0           0           0           0   \n",
       "Russia                   0           0           0           0           0   \n",
       "Japan                    0           0           0           0           0   \n",
       "Vietnam                  0           0           0           0           0   \n",
       "Germany                  0           0           0           0           0   \n",
       "France                   0           0           0           0           0   \n",
       "United Kingdom           1           1           1           1           1   \n",
       "Italy                    0           0           0           0           0   \n",
       "South Africa             0           0           0           0           0   \n",
       "Ukraine                  0           0           0           0           0   \n",
       "Spain                    0           0           0           0           0   \n",
       "Poland                   0           0           0           0           0   \n",
       "Canada                   0           0           0           0           0   \n",
       "Korea, North             0           0           0           0           0   \n",
       "Romania                  0           0           0           0           0   \n",
       "Australia                0           0           0           0           0   \n",
       "Portugal                 0           0           0           0           0   \n",
       "Belgium                  0           0           0           0           0   \n",
       "Czech Republic           0           0           0           0           0   \n",
       "Hungary                  0           0           0           0           0   \n",
       "Belarus                  0           0           0           0           0   \n",
       "Sweden                   0           0           0           0           0   \n",
       "Austria                  0           0           0           0           0   \n",
       "Switzerland              0           0           0           0           0   \n",
       "Israel                   0           0           0           0           0   \n",
       "Serbia                   0           0           0           0           0   \n",
       "Denmark                  0           0           0           0           0   \n",
       "Finland                  0           0           0           0           0   \n",
       "Norway                   0           0           0           0           0   \n",
       "Croatia                  0           0           0           0           0   \n",
       "New Zealand              0           0           0           0           0   \n",
       "Ireland                  0           0           0           0           0   \n",
       "Lithuania                0           0           0           0           0   \n",
       "Uruguay                  0           0           0           0           0   \n",
       "Latvia                   0           0           0           0           0   \n",
       "Slovenia                 0           0           0           0           0   \n",
       "Estonia                  0           0           0           0           0   \n",
       "Netherlands              0           0           0           0           0   \n",
       "Kosovo                   0           0           1           1           1   \n",
       "\n",
       "Years           1922-01-01  1923-01-01  1924-01-01  1925-01-01  1926-01-01  \\\n",
       "Country                                                                      \n",
       "United States            0           0           0           0           0   \n",
       "Brazil                   0           0           0           0           0   \n",
       "Russia                   0           0           0           0           0   \n",
       "Japan                    0           0           0           0           0   \n",
       "Vietnam                  0           0           0           0           0   \n",
       "Germany                  0           0           0           0           0   \n",
       "France                   0           0           0           0           0   \n",
       "United Kingdom           1           3           5          19          31   \n",
       "Italy                    0           0           0           0           0   \n",
       "South Africa             0           0           0           0           0   \n",
       "Ukraine                  0           0           0           0           0   \n",
       "Spain                    0           0           0           0           0   \n",
       "Poland                   0           0           0           0           0   \n",
       "Canada                   0           0           0           0           0   \n",
       "Korea, North             0           0           0           0           0   \n",
       "Romania                  0           0           0           0           0   \n",
       "Australia                0           0           0           0           0   \n",
       "Portugal                 0           0           0           0           0   \n",
       "Belgium                  0           0           0           0           0   \n",
       "Czech Republic           0           0           0           0           0   \n",
       "Hungary                  0           0           0           0           0   \n",
       "Belarus                  0           0           0           0           0   \n",
       "Sweden                   0           0           0           0           0   \n",
       "Austria                  0           0           0           0           0   \n",
       "Switzerland              0           0           0           0           0   \n",
       "Israel                   0           0           0           0           0   \n",
       "Serbia                   0           0           0           0           0   \n",
       "Denmark                  0           0           0           0           0   \n",
       "Finland                  0           0           0           0           0   \n",
       "Norway                   0           0           0           0           0   \n",
       "Croatia                  0           0           0           0           0   \n",
       "New Zealand              0           0           0           0           0   \n",
       "Ireland                  0           0           0           0           0   \n",
       "Lithuania                0           0           0           0           0   \n",
       "Uruguay                  0           0           0           0           0   \n",
       "Latvia                   0           0           0           0           0   \n",
       "Slovenia                 0           0           0           0           0   \n",
       "Estonia                  0           0           0           0           0   \n",
       "Netherlands              0           0           0           0           0   \n",
       "Kosovo                   1           1           1           1           1   \n",
       "\n",
       "Years           ...  2011-01-01  2012-01-01  2013-01-01  2014-01-01  \\\n",
       "Country         ...                                                   \n",
       "United States   ...       13982       14413       14789       15069   \n",
       "Brazil          ...           1           1           1           1   \n",
       "Russia          ...         262         344         459         586   \n",
       "Japan           ...           3           3           3           3   \n",
       "Vietnam         ...           0           0           0           0   \n",
       "Germany         ...         428         508         589         666   \n",
       "France          ...         276         302         338         375   \n",
       "United Kingdom  ...        2509        2531        2557        2579   \n",
       "Italy           ...          81          81          81          94   \n",
       "South Africa    ...          19          23          24          28   \n",
       "Ukraine         ...           8           9          10          10   \n",
       "Spain           ...           0           0           0           0   \n",
       "Poland          ...         337         379         460         526   \n",
       "Canada          ...         329         344         359         364   \n",
       "Korea, North    ...           0           0           3           4   \n",
       "Romania         ...           0           0           0           0   \n",
       "Australia       ...         814         827         844         855   \n",
       "Portugal        ...           0           0           0           1   \n",
       "Belgium         ...          63          79          94          96   \n",
       "Czech Republic  ...         139         150         171         188   \n",
       "Hungary         ...           7           7           7           8   \n",
       "Belarus         ...           0           0           0           0   \n",
       "Sweden          ...        1214        1342        1461        1525   \n",
       "Austria         ...          21          22          22          29   \n",
       "Switzerland     ...          28          29          29          29   \n",
       "Israel          ...           0           0           0           8   \n",
       "Serbia          ...           0           0           0           0   \n",
       "Denmark         ...        1549        1653        1760        1856   \n",
       "Finland         ...        2824        2967        3110        3308   \n",
       "Norway          ...         434         503         570         669   \n",
       "Croatia         ...           0           0           0           0   \n",
       "New Zealand     ...        1080        1080        1082        1083   \n",
       "Ireland         ...          29          29          29          29   \n",
       "Lithuania       ...           5           5          20          20   \n",
       "Uruguay         ...           0           0           0           0   \n",
       "Latvia          ...           3           3           3           3   \n",
       "Slovenia        ...           1           1           1           1   \n",
       "Estonia         ...          11          18          18          24   \n",
       "Netherlands     ...         323         375         417         448   \n",
       "Kosovo          ...         185         204         251         288   \n",
       "\n",
       "Years           2015-01-01  2016-01-01  2017-01-01  2018-01-01  2019-01-01  \\\n",
       "Country                                                                      \n",
       "United States        15370       15599       15812       16010       16128   \n",
       "Brazil                   1           1           1           1           1   \n",
       "Russia                 823        1040        1300        1629        1818   \n",
       "Japan                    3           5           7           7           7   \n",
       "Vietnam                  0           0           1           4           4   \n",
       "Germany                738         792         820         862         892   \n",
       "France                 395         450         510         535         597   \n",
       "United Kingdom        2605        2633        2643        2648        2649   \n",
       "Italy                   96          98         102         104         106   \n",
       "South Africa            28          28          28          28          28   \n",
       "Ukraine                 12          12          12          18          19   \n",
       "Spain                    0           0           0           0           5   \n",
       "Poland                 617         692         748         825         859   \n",
       "Canada                 377         383         386         390         391   \n",
       "Korea, North             4           4           5           5           5   \n",
       "Romania                  0           0           0           0           7   \n",
       "Australia              861         870         879         887         891   \n",
       "Portugal                 2           3           3           5           7   \n",
       "Belgium                 98         104         105         107         110   \n",
       "Czech Republic         210         233         255         264         271   \n",
       "Hungary                  8           8           8           8           8   \n",
       "Belarus                  0           5          12          21          38   \n",
       "Sweden                1643        1791        1928        1988        2007   \n",
       "Austria                 29          29          29          29          29   \n",
       "Switzerland             30          30          30          30          30   \n",
       "Israel                  13          17          21          25          32   \n",
       "Serbia                   1           1           2           2           2   \n",
       "Denmark               1967        2045        2115        2148        2176   \n",
       "Finland               3509        3695        3961        4044        4048   \n",
       "Norway                 770         873         970        1056        1077   \n",
       "Croatia                  3          11          15          21          21   \n",
       "New Zealand           1088        1091        1094        1097        1097   \n",
       "Ireland                 29          29          29          29          29   \n",
       "Lithuania               20          29          29          29          29   \n",
       "Uruguay                  0           0           2           2           2   \n",
       "Latvia                   3           3           3           3           3   \n",
       "Slovenia                 1           1           1           1           1   \n",
       "Estonia                 30          57          65          81          97   \n",
       "Netherlands            470         487         512         524         536   \n",
       "Kosovo                 352         424         525         581         632   \n",
       "\n",
       "Years           2020-01-01  \n",
       "Country                     \n",
       "United States        16130  \n",
       "Brazil                   1  \n",
       "Russia                1834  \n",
       "Japan                    7  \n",
       "Vietnam                  4  \n",
       "Germany                892  \n",
       "France                 597  \n",
       "United Kingdom        2649  \n",
       "Italy                  106  \n",
       "South Africa            28  \n",
       "Ukraine                 19  \n",
       "Spain                    5  \n",
       "Poland                 859  \n",
       "Canada                 391  \n",
       "Korea, North             5  \n",
       "Romania                  7  \n",
       "Australia              891  \n",
       "Portugal                 7  \n",
       "Belgium                110  \n",
       "Czech Republic         271  \n",
       "Hungary                  8  \n",
       "Belarus                 38  \n",
       "Sweden                2008  \n",
       "Austria                 29  \n",
       "Switzerland             30  \n",
       "Israel                  32  \n",
       "Serbia                   2  \n",
       "Denmark               2176  \n",
       "Finland               4051  \n",
       "Norway                1077  \n",
       "Croatia                 21  \n",
       "New Zealand           1097  \n",
       "Ireland                 29  \n",
       "Lithuania               29  \n",
       "Uruguay                  2  \n",
       "Latvia                   3  \n",
       "Slovenia                 1  \n",
       "Estonia                 97  \n",
       "Netherlands            536  \n",
       "Kosovo                 649  \n",
       "\n",
       "[40 rows x 104 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean2.loc[:,(corg_clean2.columns != 'Latitude') & (corg_clean2.columns!='Longitude')].cumsum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "efd62762",
   "metadata": {},
   "outputs": [],
   "source": [
    "corg_clean2.loc[:,(corg_clean2.columns != 'Latitude') & (corg_clean2.columns!='Longitude')] = \\\n",
    "  corg_clean2.loc[:,(corg_clean2.columns != 'Latitude') & (corg_clean2.columns!='Longitude')].cumsum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "7d8f7724",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Years</th>\n",
       "      <th>1917-01-01 00:00:00</th>\n",
       "      <th>1918-01-01 00:00:00</th>\n",
       "      <th>1919-01-01 00:00:00</th>\n",
       "      <th>1920-01-01 00:00:00</th>\n",
       "      <th>1921-01-01 00:00:00</th>\n",
       "      <th>1922-01-01 00:00:00</th>\n",
       "      <th>1923-01-01 00:00:00</th>\n",
       "      <th>1924-01-01 00:00:00</th>\n",
       "      <th>1925-01-01 00:00:00</th>\n",
       "      <th>1926-01-01 00:00:00</th>\n",
       "      <th>...</th>\n",
       "      <th>2013-01-01 00:00:00</th>\n",
       "      <th>2014-01-01 00:00:00</th>\n",
       "      <th>2015-01-01 00:00:00</th>\n",
       "      <th>2016-01-01 00:00:00</th>\n",
       "      <th>2017-01-01 00:00:00</th>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <th>2019-01-01 00:00:00</th>\n",
       "      <th>2020-01-01 00:00:00</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>14789</td>\n",
       "      <td>15069</td>\n",
       "      <td>15370</td>\n",
       "      <td>15599</td>\n",
       "      <td>15812</td>\n",
       "      <td>16010</td>\n",
       "      <td>16128</td>\n",
       "      <td>16130</td>\n",
       "      <td>39.783730</td>\n",
       "      <td>-100.445882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-10.333333</td>\n",
       "      <td>-53.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>459</td>\n",
       "      <td>586</td>\n",
       "      <td>823</td>\n",
       "      <td>1040</td>\n",
       "      <td>1300</td>\n",
       "      <td>1629</td>\n",
       "      <td>1818</td>\n",
       "      <td>1834</td>\n",
       "      <td>64.686314</td>\n",
       "      <td>97.745306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>36.574844</td>\n",
       "      <td>139.239418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>15.926666</td>\n",
       "      <td>107.965086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>589</td>\n",
       "      <td>666</td>\n",
       "      <td>738</td>\n",
       "      <td>792</td>\n",
       "      <td>820</td>\n",
       "      <td>862</td>\n",
       "      <td>892</td>\n",
       "      <td>892</td>\n",
       "      <td>51.163818</td>\n",
       "      <td>10.447831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>338</td>\n",
       "      <td>375</td>\n",
       "      <td>395</td>\n",
       "      <td>450</td>\n",
       "      <td>510</td>\n",
       "      <td>535</td>\n",
       "      <td>597</td>\n",
       "      <td>597</td>\n",
       "      <td>46.603354</td>\n",
       "      <td>1.888334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>2557</td>\n",
       "      <td>2579</td>\n",
       "      <td>2605</td>\n",
       "      <td>2633</td>\n",
       "      <td>2643</td>\n",
       "      <td>2648</td>\n",
       "      <td>2649</td>\n",
       "      <td>2649</td>\n",
       "      <td>54.702354</td>\n",
       "      <td>-3.276575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>81</td>\n",
       "      <td>94</td>\n",
       "      <td>96</td>\n",
       "      <td>98</td>\n",
       "      <td>102</td>\n",
       "      <td>104</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "      <td>42.638426</td>\n",
       "      <td>12.674297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Africa</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>-28.816624</td>\n",
       "      <td>24.991639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ukraine</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>49.487197</td>\n",
       "      <td>31.271832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>39.326068</td>\n",
       "      <td>-4.837979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poland</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>460</td>\n",
       "      <td>526</td>\n",
       "      <td>617</td>\n",
       "      <td>692</td>\n",
       "      <td>748</td>\n",
       "      <td>825</td>\n",
       "      <td>859</td>\n",
       "      <td>859</td>\n",
       "      <td>52.215933</td>\n",
       "      <td>19.134422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>359</td>\n",
       "      <td>364</td>\n",
       "      <td>377</td>\n",
       "      <td>383</td>\n",
       "      <td>386</td>\n",
       "      <td>390</td>\n",
       "      <td>391</td>\n",
       "      <td>391</td>\n",
       "      <td>61.066692</td>\n",
       "      <td>-107.991707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Korea, North</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>40.373661</td>\n",
       "      <td>127.087042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Romania</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>45.985213</td>\n",
       "      <td>24.685923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>844</td>\n",
       "      <td>855</td>\n",
       "      <td>861</td>\n",
       "      <td>870</td>\n",
       "      <td>879</td>\n",
       "      <td>887</td>\n",
       "      <td>891</td>\n",
       "      <td>891</td>\n",
       "      <td>-24.776109</td>\n",
       "      <td>134.755000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portugal</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>39.662165</td>\n",
       "      <td>-8.135352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgium</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>94</td>\n",
       "      <td>96</td>\n",
       "      <td>98</td>\n",
       "      <td>104</td>\n",
       "      <td>105</td>\n",
       "      <td>107</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>50.640281</td>\n",
       "      <td>4.666715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Czech Republic</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>171</td>\n",
       "      <td>188</td>\n",
       "      <td>210</td>\n",
       "      <td>233</td>\n",
       "      <td>255</td>\n",
       "      <td>264</td>\n",
       "      <td>271</td>\n",
       "      <td>271</td>\n",
       "      <td>49.743905</td>\n",
       "      <td>15.338106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hungary</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>47.181759</td>\n",
       "      <td>19.506094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belarus</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>21</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>53.425061</td>\n",
       "      <td>27.697136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sweden</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1461</td>\n",
       "      <td>1525</td>\n",
       "      <td>1643</td>\n",
       "      <td>1791</td>\n",
       "      <td>1928</td>\n",
       "      <td>1988</td>\n",
       "      <td>2007</td>\n",
       "      <td>2008</td>\n",
       "      <td>59.674971</td>\n",
       "      <td>14.520858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>22</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>47.593970</td>\n",
       "      <td>14.124560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>46.798562</td>\n",
       "      <td>8.231974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Israel</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>31.394800</td>\n",
       "      <td>34.633583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serbia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>44.153412</td>\n",
       "      <td>20.551440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denmark</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1760</td>\n",
       "      <td>1856</td>\n",
       "      <td>1967</td>\n",
       "      <td>2045</td>\n",
       "      <td>2115</td>\n",
       "      <td>2148</td>\n",
       "      <td>2176</td>\n",
       "      <td>2176</td>\n",
       "      <td>55.670249</td>\n",
       "      <td>10.333328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Finland</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3110</td>\n",
       "      <td>3308</td>\n",
       "      <td>3509</td>\n",
       "      <td>3695</td>\n",
       "      <td>3961</td>\n",
       "      <td>4044</td>\n",
       "      <td>4048</td>\n",
       "      <td>4051</td>\n",
       "      <td>63.246778</td>\n",
       "      <td>25.920916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Norway</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>570</td>\n",
       "      <td>669</td>\n",
       "      <td>770</td>\n",
       "      <td>873</td>\n",
       "      <td>970</td>\n",
       "      <td>1056</td>\n",
       "      <td>1077</td>\n",
       "      <td>1077</td>\n",
       "      <td>61.152939</td>\n",
       "      <td>8.787665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Croatia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>45.365844</td>\n",
       "      <td>15.657521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Zealand</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1082</td>\n",
       "      <td>1083</td>\n",
       "      <td>1088</td>\n",
       "      <td>1091</td>\n",
       "      <td>1094</td>\n",
       "      <td>1097</td>\n",
       "      <td>1097</td>\n",
       "      <td>1097</td>\n",
       "      <td>-41.500083</td>\n",
       "      <td>172.834408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ireland</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>52.865196</td>\n",
       "      <td>-7.979460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lithuania</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>55.350000</td>\n",
       "      <td>23.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uruguay</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-32.875555</td>\n",
       "      <td>-56.020153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latvia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>56.840649</td>\n",
       "      <td>24.753764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Slovenia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>46.119944</td>\n",
       "      <td>14.815333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estonia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>30</td>\n",
       "      <td>57</td>\n",
       "      <td>65</td>\n",
       "      <td>81</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>58.752378</td>\n",
       "      <td>25.331908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>417</td>\n",
       "      <td>448</td>\n",
       "      <td>470</td>\n",
       "      <td>487</td>\n",
       "      <td>512</td>\n",
       "      <td>524</td>\n",
       "      <td>536</td>\n",
       "      <td>536</td>\n",
       "      <td>52.247650</td>\n",
       "      <td>5.541247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kosovo</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>251</td>\n",
       "      <td>288</td>\n",
       "      <td>352</td>\n",
       "      <td>424</td>\n",
       "      <td>525</td>\n",
       "      <td>581</td>\n",
       "      <td>632</td>\n",
       "      <td>649</td>\n",
       "      <td>42.586958</td>\n",
       "      <td>20.902123</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>40 rows × 106 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Years           1917-01-01 00:00:00  1918-01-01 00:00:00  1919-01-01 00:00:00  \\\n",
       "Country                                                                         \n",
       "United States                     0                    0                    0   \n",
       "Brazil                            0                    0                    0   \n",
       "Russia                            0                    0                    0   \n",
       "Japan                             0                    0                    0   \n",
       "Vietnam                           0                    0                    0   \n",
       "Germany                           0                    0                    0   \n",
       "France                            0                    0                    0   \n",
       "United Kingdom                    1                    1                    1   \n",
       "Italy                             0                    0                    0   \n",
       "South Africa                      0                    0                    0   \n",
       "Ukraine                           0                    0                    0   \n",
       "Spain                             0                    0                    0   \n",
       "Poland                            0                    0                    0   \n",
       "Canada                            0                    0                    0   \n",
       "Korea, North                      0                    0                    0   \n",
       "Romania                           0                    0                    0   \n",
       "Australia                         0                    0                    0   \n",
       "Portugal                          0                    0                    0   \n",
       "Belgium                           0                    0                    0   \n",
       "Czech Republic                    0                    0                    0   \n",
       "Hungary                           0                    0                    0   \n",
       "Belarus                           0                    0                    0   \n",
       "Sweden                            0                    0                    0   \n",
       "Austria                           0                    0                    0   \n",
       "Switzerland                       0                    0                    0   \n",
       "Israel                            0                    0                    0   \n",
       "Serbia                            0                    0                    0   \n",
       "Denmark                           0                    0                    0   \n",
       "Finland                           0                    0                    0   \n",
       "Norway                            0                    0                    0   \n",
       "Croatia                           0                    0                    0   \n",
       "New Zealand                       0                    0                    0   \n",
       "Ireland                           0                    0                    0   \n",
       "Lithuania                         0                    0                    0   \n",
       "Uruguay                           0                    0                    0   \n",
       "Latvia                            0                    0                    0   \n",
       "Slovenia                          0                    0                    0   \n",
       "Estonia                           0                    0                    0   \n",
       "Netherlands                       0                    0                    0   \n",
       "Kosovo                            0                    0                    1   \n",
       "\n",
       "Years           1920-01-01 00:00:00  1921-01-01 00:00:00  1922-01-01 00:00:00  \\\n",
       "Country                                                                         \n",
       "United States                     0                    0                    0   \n",
       "Brazil                            0                    0                    0   \n",
       "Russia                            0                    0                    0   \n",
       "Japan                             0                    0                    0   \n",
       "Vietnam                           0                    0                    0   \n",
       "Germany                           0                    0                    0   \n",
       "France                            0                    0                    0   \n",
       "United Kingdom                    1                    1                    1   \n",
       "Italy                             0                    0                    0   \n",
       "South Africa                      0                    0                    0   \n",
       "Ukraine                           0                    0                    0   \n",
       "Spain                             0                    0                    0   \n",
       "Poland                            0                    0                    0   \n",
       "Canada                            0                    0                    0   \n",
       "Korea, North                      0                    0                    0   \n",
       "Romania                           0                    0                    0   \n",
       "Australia                         0                    0                    0   \n",
       "Portugal                          0                    0                    0   \n",
       "Belgium                           0                    0                    0   \n",
       "Czech Republic                    0                    0                    0   \n",
       "Hungary                           0                    0                    0   \n",
       "Belarus                           0                    0                    0   \n",
       "Sweden                            0                    0                    0   \n",
       "Austria                           0                    0                    0   \n",
       "Switzerland                       0                    0                    0   \n",
       "Israel                            0                    0                    0   \n",
       "Serbia                            0                    0                    0   \n",
       "Denmark                           0                    0                    0   \n",
       "Finland                           0                    0                    0   \n",
       "Norway                            0                    0                    0   \n",
       "Croatia                           0                    0                    0   \n",
       "New Zealand                       0                    0                    0   \n",
       "Ireland                           0                    0                    0   \n",
       "Lithuania                         0                    0                    0   \n",
       "Uruguay                           0                    0                    0   \n",
       "Latvia                            0                    0                    0   \n",
       "Slovenia                          0                    0                    0   \n",
       "Estonia                           0                    0                    0   \n",
       "Netherlands                       0                    0                    0   \n",
       "Kosovo                            1                    1                    1   \n",
       "\n",
       "Years           1923-01-01 00:00:00  1924-01-01 00:00:00  1925-01-01 00:00:00  \\\n",
       "Country                                                                         \n",
       "United States                     0                    0                    0   \n",
       "Brazil                            0                    0                    0   \n",
       "Russia                            0                    0                    0   \n",
       "Japan                             0                    0                    0   \n",
       "Vietnam                           0                    0                    0   \n",
       "Germany                           0                    0                    0   \n",
       "France                            0                    0                    0   \n",
       "United Kingdom                    3                    5                   19   \n",
       "Italy                             0                    0                    0   \n",
       "South Africa                      0                    0                    0   \n",
       "Ukraine                           0                    0                    0   \n",
       "Spain                             0                    0                    0   \n",
       "Poland                            0                    0                    0   \n",
       "Canada                            0                    0                    0   \n",
       "Korea, North                      0                    0                    0   \n",
       "Romania                           0                    0                    0   \n",
       "Australia                         0                    0                    0   \n",
       "Portugal                          0                    0                    0   \n",
       "Belgium                           0                    0                    0   \n",
       "Czech Republic                    0                    0                    0   \n",
       "Hungary                           0                    0                    0   \n",
       "Belarus                           0                    0                    0   \n",
       "Sweden                            0                    0                    0   \n",
       "Austria                           0                    0                    0   \n",
       "Switzerland                       0                    0                    0   \n",
       "Israel                            0                    0                    0   \n",
       "Serbia                            0                    0                    0   \n",
       "Denmark                           0                    0                    0   \n",
       "Finland                           0                    0                    0   \n",
       "Norway                            0                    0                    0   \n",
       "Croatia                           0                    0                    0   \n",
       "New Zealand                       0                    0                    0   \n",
       "Ireland                           0                    0                    0   \n",
       "Lithuania                         0                    0                    0   \n",
       "Uruguay                           0                    0                    0   \n",
       "Latvia                            0                    0                    0   \n",
       "Slovenia                          0                    0                    0   \n",
       "Estonia                           0                    0                    0   \n",
       "Netherlands                       0                    0                    0   \n",
       "Kosovo                            1                    1                    1   \n",
       "\n",
       "Years           1926-01-01 00:00:00  ...  2013-01-01 00:00:00  \\\n",
       "Country                              ...                        \n",
       "United States                     0  ...                14789   \n",
       "Brazil                            0  ...                    1   \n",
       "Russia                            0  ...                  459   \n",
       "Japan                             0  ...                    3   \n",
       "Vietnam                           0  ...                    0   \n",
       "Germany                           0  ...                  589   \n",
       "France                            0  ...                  338   \n",
       "United Kingdom                   31  ...                 2557   \n",
       "Italy                             0  ...                   81   \n",
       "South Africa                      0  ...                   24   \n",
       "Ukraine                           0  ...                   10   \n",
       "Spain                             0  ...                    0   \n",
       "Poland                            0  ...                  460   \n",
       "Canada                            0  ...                  359   \n",
       "Korea, North                      0  ...                    3   \n",
       "Romania                           0  ...                    0   \n",
       "Australia                         0  ...                  844   \n",
       "Portugal                          0  ...                    0   \n",
       "Belgium                           0  ...                   94   \n",
       "Czech Republic                    0  ...                  171   \n",
       "Hungary                           0  ...                    7   \n",
       "Belarus                           0  ...                    0   \n",
       "Sweden                            0  ...                 1461   \n",
       "Austria                           0  ...                   22   \n",
       "Switzerland                       0  ...                   29   \n",
       "Israel                            0  ...                    0   \n",
       "Serbia                            0  ...                    0   \n",
       "Denmark                           0  ...                 1760   \n",
       "Finland                           0  ...                 3110   \n",
       "Norway                            0  ...                  570   \n",
       "Croatia                           0  ...                    0   \n",
       "New Zealand                       0  ...                 1082   \n",
       "Ireland                           0  ...                   29   \n",
       "Lithuania                         0  ...                   20   \n",
       "Uruguay                           0  ...                    0   \n",
       "Latvia                            0  ...                    3   \n",
       "Slovenia                          0  ...                    1   \n",
       "Estonia                           0  ...                   18   \n",
       "Netherlands                       0  ...                  417   \n",
       "Kosovo                            1  ...                  251   \n",
       "\n",
       "Years           2014-01-01 00:00:00  2015-01-01 00:00:00  2016-01-01 00:00:00  \\\n",
       "Country                                                                         \n",
       "United States                 15069                15370                15599   \n",
       "Brazil                            1                    1                    1   \n",
       "Russia                          586                  823                 1040   \n",
       "Japan                             3                    3                    5   \n",
       "Vietnam                           0                    0                    0   \n",
       "Germany                         666                  738                  792   \n",
       "France                          375                  395                  450   \n",
       "United Kingdom                 2579                 2605                 2633   \n",
       "Italy                            94                   96                   98   \n",
       "South Africa                     28                   28                   28   \n",
       "Ukraine                          10                   12                   12   \n",
       "Spain                             0                    0                    0   \n",
       "Poland                          526                  617                  692   \n",
       "Canada                          364                  377                  383   \n",
       "Korea, North                      4                    4                    4   \n",
       "Romania                           0                    0                    0   \n",
       "Australia                       855                  861                  870   \n",
       "Portugal                          1                    2                    3   \n",
       "Belgium                          96                   98                  104   \n",
       "Czech Republic                  188                  210                  233   \n",
       "Hungary                           8                    8                    8   \n",
       "Belarus                           0                    0                    5   \n",
       "Sweden                         1525                 1643                 1791   \n",
       "Austria                          29                   29                   29   \n",
       "Switzerland                      29                   30                   30   \n",
       "Israel                            8                   13                   17   \n",
       "Serbia                            0                    1                    1   \n",
       "Denmark                        1856                 1967                 2045   \n",
       "Finland                        3308                 3509                 3695   \n",
       "Norway                          669                  770                  873   \n",
       "Croatia                           0                    3                   11   \n",
       "New Zealand                    1083                 1088                 1091   \n",
       "Ireland                          29                   29                   29   \n",
       "Lithuania                        20                   20                   29   \n",
       "Uruguay                           0                    0                    0   \n",
       "Latvia                            3                    3                    3   \n",
       "Slovenia                          1                    1                    1   \n",
       "Estonia                          24                   30                   57   \n",
       "Netherlands                     448                  470                  487   \n",
       "Kosovo                          288                  352                  424   \n",
       "\n",
       "Years           2017-01-01 00:00:00  2018-01-01 00:00:00  2019-01-01 00:00:00  \\\n",
       "Country                                                                         \n",
       "United States                 15812                16010                16128   \n",
       "Brazil                            1                    1                    1   \n",
       "Russia                         1300                 1629                 1818   \n",
       "Japan                             7                    7                    7   \n",
       "Vietnam                           1                    4                    4   \n",
       "Germany                         820                  862                  892   \n",
       "France                          510                  535                  597   \n",
       "United Kingdom                 2643                 2648                 2649   \n",
       "Italy                           102                  104                  106   \n",
       "South Africa                     28                   28                   28   \n",
       "Ukraine                          12                   18                   19   \n",
       "Spain                             0                    0                    5   \n",
       "Poland                          748                  825                  859   \n",
       "Canada                          386                  390                  391   \n",
       "Korea, North                      5                    5                    5   \n",
       "Romania                           0                    0                    7   \n",
       "Australia                       879                  887                  891   \n",
       "Portugal                          3                    5                    7   \n",
       "Belgium                         105                  107                  110   \n",
       "Czech Republic                  255                  264                  271   \n",
       "Hungary                           8                    8                    8   \n",
       "Belarus                          12                   21                   38   \n",
       "Sweden                         1928                 1988                 2007   \n",
       "Austria                          29                   29                   29   \n",
       "Switzerland                      30                   30                   30   \n",
       "Israel                           21                   25                   32   \n",
       "Serbia                            2                    2                    2   \n",
       "Denmark                        2115                 2148                 2176   \n",
       "Finland                        3961                 4044                 4048   \n",
       "Norway                          970                 1056                 1077   \n",
       "Croatia                          15                   21                   21   \n",
       "New Zealand                    1094                 1097                 1097   \n",
       "Ireland                          29                   29                   29   \n",
       "Lithuania                        29                   29                   29   \n",
       "Uruguay                           2                    2                    2   \n",
       "Latvia                            3                    3                    3   \n",
       "Slovenia                          1                    1                    1   \n",
       "Estonia                          65                   81                   97   \n",
       "Netherlands                     512                  524                  536   \n",
       "Kosovo                          525                  581                  632   \n",
       "\n",
       "Years           2020-01-01 00:00:00   Latitude   Longitude  \n",
       "Country                                                     \n",
       "United States                 16130  39.783730 -100.445882  \n",
       "Brazil                            1 -10.333333  -53.200000  \n",
       "Russia                         1834  64.686314   97.745306  \n",
       "Japan                             7  36.574844  139.239418  \n",
       "Vietnam                           4  15.926666  107.965086  \n",
       "Germany                         892  51.163818   10.447831  \n",
       "France                          597  46.603354    1.888334  \n",
       "United Kingdom                 2649  54.702354   -3.276575  \n",
       "Italy                           106  42.638426   12.674297  \n",
       "South Africa                     28 -28.816624   24.991639  \n",
       "Ukraine                          19  49.487197   31.271832  \n",
       "Spain                             5  39.326068   -4.837979  \n",
       "Poland                          859  52.215933   19.134422  \n",
       "Canada                          391  61.066692 -107.991707  \n",
       "Korea, North                      5  40.373661  127.087042  \n",
       "Romania                           7  45.985213   24.685923  \n",
       "Australia                       891 -24.776109  134.755000  \n",
       "Portugal                          7  39.662165   -8.135352  \n",
       "Belgium                         110  50.640281    4.666715  \n",
       "Czech Republic                  271  49.743905   15.338106  \n",
       "Hungary                           8  47.181759   19.506094  \n",
       "Belarus                          38  53.425061   27.697136  \n",
       "Sweden                         2008  59.674971   14.520858  \n",
       "Austria                          29  47.593970   14.124560  \n",
       "Switzerland                      30  46.798562    8.231974  \n",
       "Israel                           32  31.394800   34.633583  \n",
       "Serbia                            2  44.153412   20.551440  \n",
       "Denmark                        2176  55.670249   10.333328  \n",
       "Finland                        4051  63.246778   25.920916  \n",
       "Norway                         1077  61.152939    8.787665  \n",
       "Croatia                          21  45.365844   15.657521  \n",
       "New Zealand                    1097 -41.500083  172.834408  \n",
       "Ireland                          29  52.865196   -7.979460  \n",
       "Lithuania                        29  55.350000   23.750000  \n",
       "Uruguay                           2 -32.875555  -56.020153  \n",
       "Latvia                            3  56.840649   24.753764  \n",
       "Slovenia                          1  46.119944   14.815333  \n",
       "Estonia                          97  58.752378   25.331908  \n",
       "Netherlands                     536  52.247650    5.541247  \n",
       "Kosovo                          649  42.586958   20.902123  \n",
       "\n",
       "[40 rows x 106 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "c7fda0a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Years</th>\n",
       "      <th>Country</th>\n",
       "      <th>1917-01-01 00:00:00</th>\n",
       "      <th>1918-01-01 00:00:00</th>\n",
       "      <th>1919-01-01 00:00:00</th>\n",
       "      <th>1920-01-01 00:00:00</th>\n",
       "      <th>1921-01-01 00:00:00</th>\n",
       "      <th>1922-01-01 00:00:00</th>\n",
       "      <th>1923-01-01 00:00:00</th>\n",
       "      <th>1924-01-01 00:00:00</th>\n",
       "      <th>1925-01-01 00:00:00</th>\n",
       "      <th>...</th>\n",
       "      <th>2013-01-01 00:00:00</th>\n",
       "      <th>2014-01-01 00:00:00</th>\n",
       "      <th>2015-01-01 00:00:00</th>\n",
       "      <th>2016-01-01 00:00:00</th>\n",
       "      <th>2017-01-01 00:00:00</th>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <th>2019-01-01 00:00:00</th>\n",
       "      <th>2020-01-01 00:00:00</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>14789</td>\n",
       "      <td>15069</td>\n",
       "      <td>15370</td>\n",
       "      <td>15599</td>\n",
       "      <td>15812</td>\n",
       "      <td>16010</td>\n",
       "      <td>16128</td>\n",
       "      <td>16130</td>\n",
       "      <td>39.783730</td>\n",
       "      <td>-100.445882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-10.333333</td>\n",
       "      <td>-53.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>459</td>\n",
       "      <td>586</td>\n",
       "      <td>823</td>\n",
       "      <td>1040</td>\n",
       "      <td>1300</td>\n",
       "      <td>1629</td>\n",
       "      <td>1818</td>\n",
       "      <td>1834</td>\n",
       "      <td>64.686314</td>\n",
       "      <td>97.745306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Japan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>36.574844</td>\n",
       "      <td>139.239418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>15.926666</td>\n",
       "      <td>107.965086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Germany</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>589</td>\n",
       "      <td>666</td>\n",
       "      <td>738</td>\n",
       "      <td>792</td>\n",
       "      <td>820</td>\n",
       "      <td>862</td>\n",
       "      <td>892</td>\n",
       "      <td>892</td>\n",
       "      <td>51.163818</td>\n",
       "      <td>10.447831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>France</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>338</td>\n",
       "      <td>375</td>\n",
       "      <td>395</td>\n",
       "      <td>450</td>\n",
       "      <td>510</td>\n",
       "      <td>535</td>\n",
       "      <td>597</td>\n",
       "      <td>597</td>\n",
       "      <td>46.603354</td>\n",
       "      <td>1.888334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>2557</td>\n",
       "      <td>2579</td>\n",
       "      <td>2605</td>\n",
       "      <td>2633</td>\n",
       "      <td>2643</td>\n",
       "      <td>2648</td>\n",
       "      <td>2649</td>\n",
       "      <td>2649</td>\n",
       "      <td>54.702354</td>\n",
       "      <td>-3.276575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Italy</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>81</td>\n",
       "      <td>94</td>\n",
       "      <td>96</td>\n",
       "      <td>98</td>\n",
       "      <td>102</td>\n",
       "      <td>104</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "      <td>42.638426</td>\n",
       "      <td>12.674297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>-28.816624</td>\n",
       "      <td>24.991639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Ukraine</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>49.487197</td>\n",
       "      <td>31.271832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Spain</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>39.326068</td>\n",
       "      <td>-4.837979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Poland</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>460</td>\n",
       "      <td>526</td>\n",
       "      <td>617</td>\n",
       "      <td>692</td>\n",
       "      <td>748</td>\n",
       "      <td>825</td>\n",
       "      <td>859</td>\n",
       "      <td>859</td>\n",
       "      <td>52.215933</td>\n",
       "      <td>19.134422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Canada</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>359</td>\n",
       "      <td>364</td>\n",
       "      <td>377</td>\n",
       "      <td>383</td>\n",
       "      <td>386</td>\n",
       "      <td>390</td>\n",
       "      <td>391</td>\n",
       "      <td>391</td>\n",
       "      <td>61.066692</td>\n",
       "      <td>-107.991707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Korea, North</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>40.373661</td>\n",
       "      <td>127.087042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Romania</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>45.985213</td>\n",
       "      <td>24.685923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Australia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>844</td>\n",
       "      <td>855</td>\n",
       "      <td>861</td>\n",
       "      <td>870</td>\n",
       "      <td>879</td>\n",
       "      <td>887</td>\n",
       "      <td>891</td>\n",
       "      <td>891</td>\n",
       "      <td>-24.776109</td>\n",
       "      <td>134.755000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>39.662165</td>\n",
       "      <td>-8.135352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>94</td>\n",
       "      <td>96</td>\n",
       "      <td>98</td>\n",
       "      <td>104</td>\n",
       "      <td>105</td>\n",
       "      <td>107</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>50.640281</td>\n",
       "      <td>4.666715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>171</td>\n",
       "      <td>188</td>\n",
       "      <td>210</td>\n",
       "      <td>233</td>\n",
       "      <td>255</td>\n",
       "      <td>264</td>\n",
       "      <td>271</td>\n",
       "      <td>271</td>\n",
       "      <td>49.743905</td>\n",
       "      <td>15.338106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Hungary</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>47.181759</td>\n",
       "      <td>19.506094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>21</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>53.425061</td>\n",
       "      <td>27.697136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1461</td>\n",
       "      <td>1525</td>\n",
       "      <td>1643</td>\n",
       "      <td>1791</td>\n",
       "      <td>1928</td>\n",
       "      <td>1988</td>\n",
       "      <td>2007</td>\n",
       "      <td>2008</td>\n",
       "      <td>59.674971</td>\n",
       "      <td>14.520858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Austria</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>22</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>47.593970</td>\n",
       "      <td>14.124560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>46.798562</td>\n",
       "      <td>8.231974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Israel</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>31.394800</td>\n",
       "      <td>34.633583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Serbia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>44.153412</td>\n",
       "      <td>20.551440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1760</td>\n",
       "      <td>1856</td>\n",
       "      <td>1967</td>\n",
       "      <td>2045</td>\n",
       "      <td>2115</td>\n",
       "      <td>2148</td>\n",
       "      <td>2176</td>\n",
       "      <td>2176</td>\n",
       "      <td>55.670249</td>\n",
       "      <td>10.333328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Finland</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3110</td>\n",
       "      <td>3308</td>\n",
       "      <td>3509</td>\n",
       "      <td>3695</td>\n",
       "      <td>3961</td>\n",
       "      <td>4044</td>\n",
       "      <td>4048</td>\n",
       "      <td>4051</td>\n",
       "      <td>63.246778</td>\n",
       "      <td>25.920916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Norway</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>570</td>\n",
       "      <td>669</td>\n",
       "      <td>770</td>\n",
       "      <td>873</td>\n",
       "      <td>970</td>\n",
       "      <td>1056</td>\n",
       "      <td>1077</td>\n",
       "      <td>1077</td>\n",
       "      <td>61.152939</td>\n",
       "      <td>8.787665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Croatia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>45.365844</td>\n",
       "      <td>15.657521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>New Zealand</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1082</td>\n",
       "      <td>1083</td>\n",
       "      <td>1088</td>\n",
       "      <td>1091</td>\n",
       "      <td>1094</td>\n",
       "      <td>1097</td>\n",
       "      <td>1097</td>\n",
       "      <td>1097</td>\n",
       "      <td>-41.500083</td>\n",
       "      <td>172.834408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Ireland</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>52.865196</td>\n",
       "      <td>-7.979460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Lithuania</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>55.350000</td>\n",
       "      <td>23.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-32.875555</td>\n",
       "      <td>-56.020153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Latvia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>56.840649</td>\n",
       "      <td>24.753764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Slovenia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>46.119944</td>\n",
       "      <td>14.815333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Estonia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>30</td>\n",
       "      <td>57</td>\n",
       "      <td>65</td>\n",
       "      <td>81</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>58.752378</td>\n",
       "      <td>25.331908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>417</td>\n",
       "      <td>448</td>\n",
       "      <td>470</td>\n",
       "      <td>487</td>\n",
       "      <td>512</td>\n",
       "      <td>524</td>\n",
       "      <td>536</td>\n",
       "      <td>536</td>\n",
       "      <td>52.247650</td>\n",
       "      <td>5.541247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>251</td>\n",
       "      <td>288</td>\n",
       "      <td>352</td>\n",
       "      <td>424</td>\n",
       "      <td>525</td>\n",
       "      <td>581</td>\n",
       "      <td>632</td>\n",
       "      <td>649</td>\n",
       "      <td>42.586958</td>\n",
       "      <td>20.902123</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>40 rows × 107 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Years         Country  1917-01-01 00:00:00  1918-01-01 00:00:00  \\\n",
       "0       United States                    0                    0   \n",
       "1              Brazil                    0                    0   \n",
       "2              Russia                    0                    0   \n",
       "3               Japan                    0                    0   \n",
       "4             Vietnam                    0                    0   \n",
       "5             Germany                    0                    0   \n",
       "6              France                    0                    0   \n",
       "7      United Kingdom                    1                    1   \n",
       "8               Italy                    0                    0   \n",
       "9        South Africa                    0                    0   \n",
       "10            Ukraine                    0                    0   \n",
       "11              Spain                    0                    0   \n",
       "12             Poland                    0                    0   \n",
       "13             Canada                    0                    0   \n",
       "14       Korea, North                    0                    0   \n",
       "15            Romania                    0                    0   \n",
       "16          Australia                    0                    0   \n",
       "17           Portugal                    0                    0   \n",
       "18            Belgium                    0                    0   \n",
       "19     Czech Republic                    0                    0   \n",
       "20            Hungary                    0                    0   \n",
       "21            Belarus                    0                    0   \n",
       "22             Sweden                    0                    0   \n",
       "23            Austria                    0                    0   \n",
       "24        Switzerland                    0                    0   \n",
       "25             Israel                    0                    0   \n",
       "26             Serbia                    0                    0   \n",
       "27            Denmark                    0                    0   \n",
       "28            Finland                    0                    0   \n",
       "29             Norway                    0                    0   \n",
       "30            Croatia                    0                    0   \n",
       "31        New Zealand                    0                    0   \n",
       "32            Ireland                    0                    0   \n",
       "33          Lithuania                    0                    0   \n",
       "34            Uruguay                    0                    0   \n",
       "35             Latvia                    0                    0   \n",
       "36           Slovenia                    0                    0   \n",
       "37            Estonia                    0                    0   \n",
       "38        Netherlands                    0                    0   \n",
       "39             Kosovo                    0                    0   \n",
       "\n",
       "Years  1919-01-01 00:00:00  1920-01-01 00:00:00  1921-01-01 00:00:00  \\\n",
       "0                        0                    0                    0   \n",
       "1                        0                    0                    0   \n",
       "2                        0                    0                    0   \n",
       "3                        0                    0                    0   \n",
       "4                        0                    0                    0   \n",
       "5                        0                    0                    0   \n",
       "6                        0                    0                    0   \n",
       "7                        1                    1                    1   \n",
       "8                        0                    0                    0   \n",
       "9                        0                    0                    0   \n",
       "10                       0                    0                    0   \n",
       "11                       0                    0                    0   \n",
       "12                       0                    0                    0   \n",
       "13                       0                    0                    0   \n",
       "14                       0                    0                    0   \n",
       "15                       0                    0                    0   \n",
       "16                       0                    0                    0   \n",
       "17                       0                    0                    0   \n",
       "18                       0                    0                    0   \n",
       "19                       0                    0                    0   \n",
       "20                       0                    0                    0   \n",
       "21                       0                    0                    0   \n",
       "22                       0                    0                    0   \n",
       "23                       0                    0                    0   \n",
       "24                       0                    0                    0   \n",
       "25                       0                    0                    0   \n",
       "26                       0                    0                    0   \n",
       "27                       0                    0                    0   \n",
       "28                       0                    0                    0   \n",
       "29                       0                    0                    0   \n",
       "30                       0                    0                    0   \n",
       "31                       0                    0                    0   \n",
       "32                       0                    0                    0   \n",
       "33                       0                    0                    0   \n",
       "34                       0                    0                    0   \n",
       "35                       0                    0                    0   \n",
       "36                       0                    0                    0   \n",
       "37                       0                    0                    0   \n",
       "38                       0                    0                    0   \n",
       "39                       1                    1                    1   \n",
       "\n",
       "Years  1922-01-01 00:00:00  1923-01-01 00:00:00  1924-01-01 00:00:00  \\\n",
       "0                        0                    0                    0   \n",
       "1                        0                    0                    0   \n",
       "2                        0                    0                    0   \n",
       "3                        0                    0                    0   \n",
       "4                        0                    0                    0   \n",
       "5                        0                    0                    0   \n",
       "6                        0                    0                    0   \n",
       "7                        1                    3                    5   \n",
       "8                        0                    0                    0   \n",
       "9                        0                    0                    0   \n",
       "10                       0                    0                    0   \n",
       "11                       0                    0                    0   \n",
       "12                       0                    0                    0   \n",
       "13                       0                    0                    0   \n",
       "14                       0                    0                    0   \n",
       "15                       0                    0                    0   \n",
       "16                       0                    0                    0   \n",
       "17                       0                    0                    0   \n",
       "18                       0                    0                    0   \n",
       "19                       0                    0                    0   \n",
       "20                       0                    0                    0   \n",
       "21                       0                    0                    0   \n",
       "22                       0                    0                    0   \n",
       "23                       0                    0                    0   \n",
       "24                       0                    0                    0   \n",
       "25                       0                    0                    0   \n",
       "26                       0                    0                    0   \n",
       "27                       0                    0                    0   \n",
       "28                       0                    0                    0   \n",
       "29                       0                    0                    0   \n",
       "30                       0                    0                    0   \n",
       "31                       0                    0                    0   \n",
       "32                       0                    0                    0   \n",
       "33                       0                    0                    0   \n",
       "34                       0                    0                    0   \n",
       "35                       0                    0                    0   \n",
       "36                       0                    0                    0   \n",
       "37                       0                    0                    0   \n",
       "38                       0                    0                    0   \n",
       "39                       1                    1                    1   \n",
       "\n",
       "Years  1925-01-01 00:00:00  ...  2013-01-01 00:00:00  2014-01-01 00:00:00  \\\n",
       "0                        0  ...                14789                15069   \n",
       "1                        0  ...                    1                    1   \n",
       "2                        0  ...                  459                  586   \n",
       "3                        0  ...                    3                    3   \n",
       "4                        0  ...                    0                    0   \n",
       "5                        0  ...                  589                  666   \n",
       "6                        0  ...                  338                  375   \n",
       "7                       19  ...                 2557                 2579   \n",
       "8                        0  ...                   81                   94   \n",
       "9                        0  ...                   24                   28   \n",
       "10                       0  ...                   10                   10   \n",
       "11                       0  ...                    0                    0   \n",
       "12                       0  ...                  460                  526   \n",
       "13                       0  ...                  359                  364   \n",
       "14                       0  ...                    3                    4   \n",
       "15                       0  ...                    0                    0   \n",
       "16                       0  ...                  844                  855   \n",
       "17                       0  ...                    0                    1   \n",
       "18                       0  ...                   94                   96   \n",
       "19                       0  ...                  171                  188   \n",
       "20                       0  ...                    7                    8   \n",
       "21                       0  ...                    0                    0   \n",
       "22                       0  ...                 1461                 1525   \n",
       "23                       0  ...                   22                   29   \n",
       "24                       0  ...                   29                   29   \n",
       "25                       0  ...                    0                    8   \n",
       "26                       0  ...                    0                    0   \n",
       "27                       0  ...                 1760                 1856   \n",
       "28                       0  ...                 3110                 3308   \n",
       "29                       0  ...                  570                  669   \n",
       "30                       0  ...                    0                    0   \n",
       "31                       0  ...                 1082                 1083   \n",
       "32                       0  ...                   29                   29   \n",
       "33                       0  ...                   20                   20   \n",
       "34                       0  ...                    0                    0   \n",
       "35                       0  ...                    3                    3   \n",
       "36                       0  ...                    1                    1   \n",
       "37                       0  ...                   18                   24   \n",
       "38                       0  ...                  417                  448   \n",
       "39                       1  ...                  251                  288   \n",
       "\n",
       "Years  2015-01-01 00:00:00  2016-01-01 00:00:00  2017-01-01 00:00:00  \\\n",
       "0                    15370                15599                15812   \n",
       "1                        1                    1                    1   \n",
       "2                      823                 1040                 1300   \n",
       "3                        3                    5                    7   \n",
       "4                        0                    0                    1   \n",
       "5                      738                  792                  820   \n",
       "6                      395                  450                  510   \n",
       "7                     2605                 2633                 2643   \n",
       "8                       96                   98                  102   \n",
       "9                       28                   28                   28   \n",
       "10                      12                   12                   12   \n",
       "11                       0                    0                    0   \n",
       "12                     617                  692                  748   \n",
       "13                     377                  383                  386   \n",
       "14                       4                    4                    5   \n",
       "15                       0                    0                    0   \n",
       "16                     861                  870                  879   \n",
       "17                       2                    3                    3   \n",
       "18                      98                  104                  105   \n",
       "19                     210                  233                  255   \n",
       "20                       8                    8                    8   \n",
       "21                       0                    5                   12   \n",
       "22                    1643                 1791                 1928   \n",
       "23                      29                   29                   29   \n",
       "24                      30                   30                   30   \n",
       "25                      13                   17                   21   \n",
       "26                       1                    1                    2   \n",
       "27                    1967                 2045                 2115   \n",
       "28                    3509                 3695                 3961   \n",
       "29                     770                  873                  970   \n",
       "30                       3                   11                   15   \n",
       "31                    1088                 1091                 1094   \n",
       "32                      29                   29                   29   \n",
       "33                      20                   29                   29   \n",
       "34                       0                    0                    2   \n",
       "35                       3                    3                    3   \n",
       "36                       1                    1                    1   \n",
       "37                      30                   57                   65   \n",
       "38                     470                  487                  512   \n",
       "39                     352                  424                  525   \n",
       "\n",
       "Years  2018-01-01 00:00:00  2019-01-01 00:00:00  2020-01-01 00:00:00  \\\n",
       "0                    16010                16128                16130   \n",
       "1                        1                    1                    1   \n",
       "2                     1629                 1818                 1834   \n",
       "3                        7                    7                    7   \n",
       "4                        4                    4                    4   \n",
       "5                      862                  892                  892   \n",
       "6                      535                  597                  597   \n",
       "7                     2648                 2649                 2649   \n",
       "8                      104                  106                  106   \n",
       "9                       28                   28                   28   \n",
       "10                      18                   19                   19   \n",
       "11                       0                    5                    5   \n",
       "12                     825                  859                  859   \n",
       "13                     390                  391                  391   \n",
       "14                       5                    5                    5   \n",
       "15                       0                    7                    7   \n",
       "16                     887                  891                  891   \n",
       "17                       5                    7                    7   \n",
       "18                     107                  110                  110   \n",
       "19                     264                  271                  271   \n",
       "20                       8                    8                    8   \n",
       "21                      21                   38                   38   \n",
       "22                    1988                 2007                 2008   \n",
       "23                      29                   29                   29   \n",
       "24                      30                   30                   30   \n",
       "25                      25                   32                   32   \n",
       "26                       2                    2                    2   \n",
       "27                    2148                 2176                 2176   \n",
       "28                    4044                 4048                 4051   \n",
       "29                    1056                 1077                 1077   \n",
       "30                      21                   21                   21   \n",
       "31                    1097                 1097                 1097   \n",
       "32                      29                   29                   29   \n",
       "33                      29                   29                   29   \n",
       "34                       2                    2                    2   \n",
       "35                       3                    3                    3   \n",
       "36                       1                    1                    1   \n",
       "37                      81                   97                   97   \n",
       "38                     524                  536                  536   \n",
       "39                     581                  632                  649   \n",
       "\n",
       "Years   Latitude   Longitude  \n",
       "0      39.783730 -100.445882  \n",
       "1     -10.333333  -53.200000  \n",
       "2      64.686314   97.745306  \n",
       "3      36.574844  139.239418  \n",
       "4      15.926666  107.965086  \n",
       "5      51.163818   10.447831  \n",
       "6      46.603354    1.888334  \n",
       "7      54.702354   -3.276575  \n",
       "8      42.638426   12.674297  \n",
       "9     -28.816624   24.991639  \n",
       "10     49.487197   31.271832  \n",
       "11     39.326068   -4.837979  \n",
       "12     52.215933   19.134422  \n",
       "13     61.066692 -107.991707  \n",
       "14     40.373661  127.087042  \n",
       "15     45.985213   24.685923  \n",
       "16    -24.776109  134.755000  \n",
       "17     39.662165   -8.135352  \n",
       "18     50.640281    4.666715  \n",
       "19     49.743905   15.338106  \n",
       "20     47.181759   19.506094  \n",
       "21     53.425061   27.697136  \n",
       "22     59.674971   14.520858  \n",
       "23     47.593970   14.124560  \n",
       "24     46.798562    8.231974  \n",
       "25     31.394800   34.633583  \n",
       "26     44.153412   20.551440  \n",
       "27     55.670249   10.333328  \n",
       "28     63.246778   25.920916  \n",
       "29     61.152939    8.787665  \n",
       "30     45.365844   15.657521  \n",
       "31    -41.500083  172.834408  \n",
       "32     52.865196   -7.979460  \n",
       "33     55.350000   23.750000  \n",
       "34    -32.875555  -56.020153  \n",
       "35     56.840649   24.753764  \n",
       "36     46.119944   14.815333  \n",
       "37     58.752378   25.331908  \n",
       "38     52.247650    5.541247  \n",
       "39     42.586958   20.902123  \n",
       "\n",
       "[40 rows x 107 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean2.reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2e7245a",
   "metadata": {},
   "source": [
    "Now let's \"remelt\" the data into a format we can use for our plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "011a29fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Year</th>\n",
       "      <th>cumulative_sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>-100.445882</td>\n",
       "      <td>39.783730</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>-53.200000</td>\n",
       "      <td>-10.333333</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russia</td>\n",
       "      <td>97.745306</td>\n",
       "      <td>64.686314</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Japan</td>\n",
       "      <td>139.239418</td>\n",
       "      <td>36.574844</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>107.965086</td>\n",
       "      <td>15.926666</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country   Longitude   Latitude       Year  cumulative_sum\n",
       "0  United States -100.445882  39.783730 1917-01-01               0\n",
       "1         Brazil  -53.200000 -10.333333 1917-01-01               0\n",
       "2         Russia   97.745306  64.686314 1917-01-01               0\n",
       "3          Japan  139.239418  36.574844 1917-01-01               0\n",
       "4        Vietnam  107.965086  15.926666 1917-01-01               0"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_melt = corg_clean2.reset_index().melt(['Country','Longitude','Latitude'], \n",
    "                                      var_name='Year', value_name='cumulative_sum')\n",
    "corg_melt.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9dd0f22",
   "metadata": {},
   "source": [
    "Now we can make a little [slider in Altair](https://altair-viz.github.io/user_guide/interactions.html#selection-values-in-expressions) to change the date range for our circles interactively:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "b5ea8d6a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Timestamp('1917-01-01 00:00:00'), Timestamp('2020-01-01 00:00:00'))"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_melt['Year'].min(), corg_melt['Year'].max()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccfc3675",
   "metadata": {},
   "source": [
    "Since sliders (at least at the time of writing) [can't have datetime inputs](https://stackoverflow.com/questions/62046930/altair-adding-date-slider-for-interactive-scatter-chart-pot) let's cheat a bit by making another column called \"year_int\":"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "5724da74",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Year</th>\n",
       "      <th>cumulative_sum</th>\n",
       "      <th>year_int</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>-100.445882</td>\n",
       "      <td>39.783730</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>-53.200000</td>\n",
       "      <td>-10.333333</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>1917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russia</td>\n",
       "      <td>97.745306</td>\n",
       "      <td>64.686314</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>1917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Japan</td>\n",
       "      <td>139.239418</td>\n",
       "      <td>36.574844</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>1917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>107.965086</td>\n",
       "      <td>15.926666</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>1917</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country   Longitude   Latitude       Year  cumulative_sum  year_int\n",
       "0  United States -100.445882  39.783730 1917-01-01               0      1917\n",
       "1         Brazil  -53.200000 -10.333333 1917-01-01               0      1917\n",
       "2         Russia   97.745306  64.686314 1917-01-01               0      1917\n",
       "3          Japan  139.239418  36.574844 1917-01-01               0      1917\n",
       "4        Vietnam  107.965086  15.926666 1917-01-01               0      1917"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_melt['year_int'] = corg_melt['Year'].dt.year.astype('int')\n",
    "corg_melt.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "acbfe05d",
   "metadata": {},
   "source": [
    "Note here to that for [equity selections we don't have to use == signs](https://stackoverflow.com/questions/68071713/in-altair-equality-condition-doesnt-work) in Altair (it won't work... just for fun I guess)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "07fa6c96-851c-4eab-a01b-bfdc496a58e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "alt.selection_point?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "56195c43",
   "metadata": {},
   "outputs": [],
   "source": [
    "slider = alt.binding_range(min=corg_melt['year_int'].min(), \n",
    "                           max=corg_melt['year_int'].max(), step=1, name='Max year:')\n",
    "#selector = alt.selection_single(name=\"SelectorName\", fields=['cutoff'],\n",
    "#                                bind=slider, init={'cutoff': 2000})\n",
    "# selector = alt.selection_single(name=\"SelectorName\", fields=['year_int'],\n",
    "#                                 bind=slider, init={'year_int': 2000})\n",
    "selector = alt.selection_point(name=\"SelectorName\", fields=['year_int'],\n",
    "                                bind=slider, value=2000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "1ded3b87",
   "metadata": {},
   "outputs": [
    {
     "data": {
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0, \"year_int\": 1917}, {\"Country\": \"Portugal\", \"Longitude\": -8.1353519, \"Latitude\": 39.6621648, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Belgium\", \"Longitude\": 4.6667145, \"Latitude\": 50.6402809, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Czech Republic\", \"Longitude\": 15.3381061, \"Latitude\": 49.7439047, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Hungary\", \"Longitude\": 19.5060937, \"Latitude\": 47.1817585, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Belarus\", \"Longitude\": 27.6971358, \"Latitude\": 53.4250605, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Sweden\", \"Longitude\": 14.5208584, \"Latitude\": 59.6749712, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": 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\"Latitude\": 61.1529386, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Croatia\", \"Longitude\": 15.6575209, \"Latitude\": 45.3658443, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"New Zealand\", \"Longitude\": 172.8344077, \"Latitude\": -41.5000831, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Ireland\", \"Longitude\": -7.9794599, \"Latitude\": 52.865196, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Lithuania\", \"Longitude\": 23.7499997, \"Latitude\": 55.3500003, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Uruguay\", \"Longitude\": -56.0201525, \"Latitude\": -32.8755548, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Latvia\", \"Longitude\": 24.7537645, \"Latitude\": 56.8406494, \"Year\": 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\"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Russia\", \"Longitude\": 97.7453061, \"Latitude\": 64.6863136, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Japan\", \"Longitude\": 139.2394179, \"Latitude\": 36.5748441, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Vietnam\", \"Longitude\": 107.9650855, \"Latitude\": 15.9266657, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Germany\", \"Longitude\": 10.4478313, \"Latitude\": 51.1638175, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"France\", \"Longitude\": 1.8883335, \"Latitude\": 46.603354, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"United Kingdom\", \"Longitude\": -3.2765753, \"Latitude\": 54.7023545, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 1, \"year_int\": 1918}, {\"Country\": \"Italy\", \"Longitude\": 12.674297, \"Latitude\": 42.6384261, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"South Africa\", \"Longitude\": 24.991639, \"Latitude\": -28.8166236, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Ukraine\", \"Longitude\": 31.2718321, \"Latitude\": 49.4871968, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Spain\", \"Longitude\": -4.8379791, \"Latitude\": 39.3260685, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Poland\", \"Longitude\": 19.134422, \"Latitude\": 52.215933, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Canada\", \"Longitude\": -107.991707, \"Latitude\": 61.0666922, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Korea, North\", \"Longitude\": 127.0870417, \"Latitude\": 40.3736611, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Romania\", \"Longitude\": 24.6859225, \"Latitude\": 45.9852129, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Australia\", \"Longitude\": 134.755, \"Latitude\": -24.7761086, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Portugal\", \"Longitude\": -8.1353519, \"Latitude\": 39.6621648, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Belgium\", \"Longitude\": 4.6667145, \"Latitude\": 50.6402809, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Czech Republic\", \"Longitude\": 15.3381061, \"Latitude\": 49.7439047, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Hungary\", \"Longitude\": 19.5060937, \"Latitude\": 47.1817585, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Belarus\", \"Longitude\": 27.6971358, \"Latitude\": 53.4250605, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Sweden\", \"Longitude\": 14.5208584, \"Latitude\": 59.6749712, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Austria\", \"Longitude\": 14.12456, \"Latitude\": 47.59397, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Switzerland\", \"Longitude\": 8.2319736, \"Latitude\": 46.7985624, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Israel\", \"Longitude\": 34.63358319049945, \"Latitude\": 31.39480005, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Serbia\", \"Longitude\": 20.55144, \"Latitude\": 44.1534121, \"Year\": \"1918-01-01T00:00:00\", 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\"year_int\": 2020}, {\"Country\": \"Czech Republic\", \"Longitude\": 15.3381061, \"Latitude\": 49.7439047, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 271, \"year_int\": 2020}, {\"Country\": \"Hungary\", \"Longitude\": 19.5060937, \"Latitude\": 47.1817585, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 8, \"year_int\": 2020}, {\"Country\": \"Belarus\", \"Longitude\": 27.6971358, \"Latitude\": 53.4250605, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 38, \"year_int\": 2020}, {\"Country\": \"Sweden\", \"Longitude\": 14.5208584, \"Latitude\": 59.6749712, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2008, \"year_int\": 2020}, {\"Country\": \"Austria\", \"Longitude\": 14.12456, \"Latitude\": 47.59397, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2020}, {\"Country\": \"Switzerland\", \"Longitude\": 8.2319736, \"Latitude\": 46.7985624, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 30, \"year_int\": 2020}, {\"Country\": \"Israel\", \"Longitude\": 34.63358319049945, \"Latitude\": 31.39480005, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 32, \"year_int\": 2020}, {\"Country\": \"Serbia\", \"Longitude\": 20.55144, \"Latitude\": 44.1534121, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2, \"year_int\": 2020}, {\"Country\": \"Denmark\", \"Longitude\": 10.3333283, \"Latitude\": 55.670249, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2176, \"year_int\": 2020}, {\"Country\": \"Finland\", \"Longitude\": 25.9209164, \"Latitude\": 63.2467777, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 4051, \"year_int\": 2020}, {\"Country\": \"Norway\", \"Longitude\": 8.7876653, \"Latitude\": 61.1529386, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 1077, \"year_int\": 2020}, {\"Country\": \"Croatia\", \"Longitude\": 15.6575209, \"Latitude\": 45.3658443, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 21, \"year_int\": 2020}, {\"Country\": \"New Zealand\", \"Longitude\": 172.8344077, \"Latitude\": -41.5000831, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 1097, \"year_int\": 2020}, {\"Country\": \"Ireland\", \"Longitude\": -7.9794599, \"Latitude\": 52.865196, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2020}, {\"Country\": \"Lithuania\", \"Longitude\": 23.7499997, \"Latitude\": 55.3500003, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2020}, {\"Country\": \"Uruguay\", \"Longitude\": -56.0201525, \"Latitude\": -32.8755548, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2, \"year_int\": 2020}, {\"Country\": \"Latvia\", \"Longitude\": 24.7537645, \"Latitude\": 56.8406494, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 3, \"year_int\": 2020}, {\"Country\": \"Slovenia\", \"Longitude\": 14.8153333, \"Latitude\": 46.1199444, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 1, \"year_int\": 2020}, {\"Country\": \"Estonia\", \"Longitude\": 25.3319078, \"Latitude\": 58.7523778, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 97, \"year_int\": 2020}, {\"Country\": \"Netherlands\", \"Longitude\": 5.541246849406163, \"Latitude\": 52.24764975, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 536, \"year_int\": 2020}, {\"Country\": \"Kosovo\", \"Longitude\": 20.9021231, \"Latitude\": 42.5869578, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 649, \"year_int\": 2020}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo = alt.topo_feature(data.world_110m.url, feature='countries')\n",
    "\n",
    "# US states background\n",
    "world = alt.Chart(geo).mark_geoshape(\n",
    "    fill='lightgray',\n",
    "    stroke='white'\n",
    ").properties(\n",
    "    width=800,\n",
    "    height=500\n",
    ").project('equirectangular') # note we have a few projections we can use!\n",
    "\n",
    "points = alt.Chart(corg_melt).mark_circle().encode(\n",
    "    longitude='Longitude:Q',\n",
    "    latitude='Latitude:Q',\n",
    "    #size=alt.Size('Total Corg:Q',scale=alt.Scale(type='log')),\n",
    "    size=alt.condition(\n",
    "        #((alt.datum.year_int < selector.cutoff-10)&(alt.datum.year_int >= selector.cutoff)),\n",
    "        #(alt.datum.year_int == selector.cutoff),\n",
    "        #\"datum.year_int == selector.cutoff\",\n",
    "        #alt.expr.datum['year_int'] < selector.cutoff,\n",
    "        selector,\n",
    "        alt.Size('cumulative_sum:Q',scale=None), alt.value(0)\n",
    "    ),\n",
    "    tooltip='Country',\n",
    "# ).add_selection(\n",
    "#     selector\n",
    "# )\n",
    ").add_params(\n",
    "    selector\n",
    ")\n",
    "\n",
    "world + points"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24ddbe0b",
   "metadata": {},
   "source": [
    "One final thing, let's add in some info about what each dot means in our tooltip:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "1fdbcbdf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-fc40fbc175e44d1492c84cf51a690fca.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-fc40fbc175e44d1492c84cf51a690fca.vega-embed details,\n",
       "  #altair-viz-fc40fbc175e44d1492c84cf51a690fca.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-fc40fbc175e44d1492c84cf51a690fca\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
       "  (function(spec, embedOpt){\n",
       "    let outputDiv = document.currentScript.previousElementSibling;\n",
       "    if (outputDiv.id !== \"altair-viz-fc40fbc175e44d1492c84cf51a690fca\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-fc40fbc175e44d1492c84cf51a690fca\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "          s.async = true;\n",
       "          s.onload = () => {\n",
       "            VEGA_DEBUG[key] = version;\n",
       "            return resolve(paths[lib]);\n",
       "          };\n",
       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
       "          s.src = paths[lib];\n",
       "        });\n",
       "    }\n",
       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
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       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"layer\": [{\"data\": {\"url\": \"https://cdn.jsdelivr.net/npm/vega-datasets@v1.29.0/data/world-110m.json\", \"format\": {\"feature\": \"countries\", \"type\": \"topojson\"}}, \"mark\": {\"type\": \"geoshape\", \"fill\": \"lightgray\", \"stroke\": \"black\"}, \"projection\": {\"type\": \"equirectangular\"}}, {\"data\": {\"name\": \"data-2865b2b0e950319ed94992a8cb80bd0f\"}, \"mark\": {\"type\": \"circle\"}, \"encoding\": {\"latitude\": {\"field\": \"Latitude\", \"type\": \"quantitative\"}, \"longitude\": {\"field\": \"Longitude\", \"type\": \"quantitative\"}, \"size\": {\"condition\": {\"param\": \"SelectorName\", \"field\": \"cumulative_sum\", \"scale\": null, \"type\": \"quantitative\"}, \"value\": 0}, \"tooltip\": [{\"field\": \"Country\", \"type\": \"nominal\"}, {\"field\": \"cumulative_sum\", \"type\": \"quantitative\"}]}, \"name\": \"view_2\"}], \"height\": 500, \"params\": [{\"name\": \"SelectorName\", \"select\": {\"type\": \"point\", \"fields\": [\"year_int\"]}, \"bind\": {\"input\": \"range\", \"max\": 2020, \"min\": 1917, \"name\": \"Max year:\", \"step\": 1}, \"value\": 2000, \"views\": [\"view_2\"]}], \"width\": 800, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-2865b2b0e950319ed94992a8cb80bd0f\": [{\"Country\": \"United States\", \"Longitude\": -100.445882, \"Latitude\": 39.7837304, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Brazil\", \"Longitude\": -53.2, \"Latitude\": -10.3333333, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Russia\", \"Longitude\": 97.7453061, \"Latitude\": 64.6863136, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Japan\", \"Longitude\": 139.2394179, \"Latitude\": 36.5748441, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Vietnam\", \"Longitude\": 107.9650855, \"Latitude\": 15.9266657, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Germany\", \"Longitude\": 10.4478313, \"Latitude\": 51.1638175, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"France\", \"Longitude\": 1.8883335, \"Latitude\": 46.603354, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"United Kingdom\", \"Longitude\": -3.2765753, \"Latitude\": 54.7023545, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 1, \"year_int\": 1917}, {\"Country\": \"Italy\", \"Longitude\": 12.674297, \"Latitude\": 42.6384261, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"South Africa\", \"Longitude\": 24.991639, \"Latitude\": -28.8166236, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Ukraine\", 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\"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Austria\", \"Longitude\": 14.12456, \"Latitude\": 47.59397, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Switzerland\", \"Longitude\": 8.2319736, \"Latitude\": 46.7985624, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Israel\", \"Longitude\": 34.63358319049945, \"Latitude\": 31.39480005, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Serbia\", \"Longitude\": 20.55144, \"Latitude\": 44.1534121, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Denmark\", \"Longitude\": 10.3333283, \"Latitude\": 55.670249, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Finland\", \"Longitude\": 25.9209164, \"Latitude\": 63.2467777, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Norway\", \"Longitude\": 8.7876653, \"Latitude\": 61.1529386, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Croatia\", \"Longitude\": 15.6575209, \"Latitude\": 45.3658443, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"New Zealand\", \"Longitude\": 172.8344077, \"Latitude\": -41.5000831, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Ireland\", \"Longitude\": -7.9794599, \"Latitude\": 52.865196, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Lithuania\", \"Longitude\": 23.7499997, \"Latitude\": 55.3500003, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Uruguay\", \"Longitude\": -56.0201525, \"Latitude\": -32.8755548, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Latvia\", \"Longitude\": 24.7537645, \"Latitude\": 56.8406494, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Slovenia\", \"Longitude\": 14.8153333, \"Latitude\": 46.1199444, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Estonia\", \"Longitude\": 25.3319078, \"Latitude\": 58.7523778, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Netherlands\", \"Longitude\": 5.541246849406163, \"Latitude\": 52.24764975, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Kosovo\", \"Longitude\": 20.9021231, \"Latitude\": 42.5869578, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"United States\", \"Longitude\": -100.445882, \"Latitude\": 39.7837304, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Brazil\", \"Longitude\": -53.2, \"Latitude\": -10.3333333, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Russia\", \"Longitude\": 97.7453061, \"Latitude\": 64.6863136, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Japan\", \"Longitude\": 139.2394179, \"Latitude\": 36.5748441, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Vietnam\", \"Longitude\": 107.9650855, \"Latitude\": 15.9266657, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"Germany\", \"Longitude\": 10.4478313, \"Latitude\": 51.1638175, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"France\", \"Longitude\": 1.8883335, \"Latitude\": 46.603354, \"Year\": \"1918-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1918}, {\"Country\": \"United Kingdom\", \"Longitude\": -3.2765753, \"Latitude\": 54.7023545, \"Year\": 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\"Longitude\": 1.8883335, \"Latitude\": 46.603354, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 597, \"year_int\": 2020}, {\"Country\": \"United Kingdom\", \"Longitude\": -3.2765753, \"Latitude\": 54.7023545, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2649, \"year_int\": 2020}, {\"Country\": \"Italy\", \"Longitude\": 12.674297, \"Latitude\": 42.6384261, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 106, \"year_int\": 2020}, {\"Country\": \"South Africa\", \"Longitude\": 24.991639, \"Latitude\": -28.8166236, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 28, \"year_int\": 2020}, {\"Country\": \"Ukraine\", \"Longitude\": 31.2718321, \"Latitude\": 49.4871968, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 19, \"year_int\": 2020}, {\"Country\": \"Spain\", \"Longitude\": -4.8379791, \"Latitude\": 39.3260685, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 5, \"year_int\": 2020}, {\"Country\": \"Poland\", \"Longitude\": 19.134422, \"Latitude\": 52.215933, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 859, \"year_int\": 2020}, {\"Country\": \"Canada\", \"Longitude\": -107.991707, \"Latitude\": 61.0666922, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 391, \"year_int\": 2020}, {\"Country\": \"Korea, North\", \"Longitude\": 127.0870417, \"Latitude\": 40.3736611, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 5, \"year_int\": 2020}, {\"Country\": \"Romania\", \"Longitude\": 24.6859225, \"Latitude\": 45.9852129, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 7, \"year_int\": 2020}, {\"Country\": \"Australia\", \"Longitude\": 134.755, \"Latitude\": -24.7761086, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 891, \"year_int\": 2020}, {\"Country\": \"Portugal\", \"Longitude\": -8.1353519, \"Latitude\": 39.6621648, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 7, \"year_int\": 2020}, {\"Country\": \"Belgium\", \"Longitude\": 4.6667145, \"Latitude\": 50.6402809, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 110, \"year_int\": 2020}, {\"Country\": \"Czech Republic\", \"Longitude\": 15.3381061, \"Latitude\": 49.7439047, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 271, \"year_int\": 2020}, {\"Country\": \"Hungary\", \"Longitude\": 19.5060937, \"Latitude\": 47.1817585, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 8, \"year_int\": 2020}, {\"Country\": \"Belarus\", \"Longitude\": 27.6971358, \"Latitude\": 53.4250605, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 38, \"year_int\": 2020}, {\"Country\": \"Sweden\", \"Longitude\": 14.5208584, \"Latitude\": 59.6749712, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2008, \"year_int\": 2020}, {\"Country\": \"Austria\", \"Longitude\": 14.12456, \"Latitude\": 47.59397, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2020}, {\"Country\": \"Switzerland\", \"Longitude\": 8.2319736, \"Latitude\": 46.7985624, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 30, \"year_int\": 2020}, {\"Country\": \"Israel\", \"Longitude\": 34.63358319049945, \"Latitude\": 31.39480005, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 32, \"year_int\": 2020}, {\"Country\": \"Serbia\", \"Longitude\": 20.55144, \"Latitude\": 44.1534121, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2, \"year_int\": 2020}, {\"Country\": \"Denmark\", \"Longitude\": 10.3333283, \"Latitude\": 55.670249, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2176, \"year_int\": 2020}, {\"Country\": \"Finland\", \"Longitude\": 25.9209164, \"Latitude\": 63.2467777, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 4051, \"year_int\": 2020}, {\"Country\": \"Norway\", \"Longitude\": 8.7876653, \"Latitude\": 61.1529386, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 1077, \"year_int\": 2020}, {\"Country\": \"Croatia\", \"Longitude\": 15.6575209, \"Latitude\": 45.3658443, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 21, \"year_int\": 2020}, {\"Country\": \"New Zealand\", \"Longitude\": 172.8344077, \"Latitude\": -41.5000831, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 1097, \"year_int\": 2020}, {\"Country\": \"Ireland\", \"Longitude\": -7.9794599, \"Latitude\": 52.865196, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2020}, {\"Country\": \"Lithuania\", \"Longitude\": 23.7499997, \"Latitude\": 55.3500003, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2020}, {\"Country\": \"Uruguay\", \"Longitude\": -56.0201525, \"Latitude\": -32.8755548, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2, \"year_int\": 2020}, {\"Country\": \"Latvia\", \"Longitude\": 24.7537645, \"Latitude\": 56.8406494, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 3, \"year_int\": 2020}, {\"Country\": \"Slovenia\", \"Longitude\": 14.8153333, \"Latitude\": 46.1199444, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 1, \"year_int\": 2020}, {\"Country\": \"Estonia\", \"Longitude\": 25.3319078, \"Latitude\": 58.7523778, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 97, \"year_int\": 2020}, {\"Country\": \"Netherlands\", \"Longitude\": 5.541246849406163, \"Latitude\": 52.24764975, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 536, \"year_int\": 2020}, {\"Country\": \"Kosovo\", \"Longitude\": 20.9021231, \"Latitude\": 42.5869578, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 649, \"year_int\": 2020}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo = alt.topo_feature(data.world_110m.url, feature='countries')\n",
    "\n",
    "# US states background\n",
    "world = alt.Chart(geo).mark_geoshape(\n",
    "    fill='lightgray',\n",
    "    stroke='black'\n",
    ").properties(\n",
    "    width=800,\n",
    "    height=500\n",
    "#).project('mercator') # note we have a few projections we can use!\n",
    ").project('equirectangular') # note we have a few projections we can use!\n",
    "\n",
    "points = alt.Chart(corg_melt).mark_circle().encode(\n",
    "    longitude='Longitude:Q',\n",
    "    latitude='Latitude:Q',\n",
    "    #size=alt.Size('Total Corg:Q',scale=alt.Scale(type='log')),\n",
    "    size=alt.condition(\n",
    "        #((alt.datum.year_int < selector.year_int-10)&(alt.datum.year_int >= selector.year_int)),\n",
    "        #(alt.datum.year_int < selector.year_int),\n",
    "        #\"datum.year_int == selector.year_int\",\n",
    "        #alt.expr.datum['year_int'] < selector.year_int,\n",
    "        selector,\n",
    "        alt.Size('cumulative_sum:Q',scale=None), alt.value(0)\n",
    "    ),\n",
    "    tooltip=['Country','cumulative_sum'],\n",
    ").add_params(\n",
    "    selector\n",
    ")\n",
    "\n",
    "world + points"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c24cdbf",
   "metadata": {},
   "source": [
    "Looks nice!  Let's save it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "543eb7c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "myJekyllDir = '/Users/jnaiman/jnaiman.github.io/assets/json/'\n",
    "\n",
    "# note: for PL usages\n",
    "# myJekyllDir = './'\n",
    "# and then you need to download"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "0e4e3f7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "chart_out = world + points\n",
    "\n",
    "chart_out.properties(width='container').save(myJekyllDir+\"corgis_dotchart_world.json\") "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3794475b",
   "metadata": {},
   "source": [
    "We note that when we run this though, we get a few artifacts.  We can try to \"smooth\" the transitions with a bit of interpolation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "65c23b3d",
   "metadata": {},
   "outputs": [],
   "source": [
    "alt.selection_point?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "d0c34d9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "slider = alt.binding_range(min=corg_melt['year_int'].min(), \n",
    "                           max=corg_melt['year_int'].max(), step=1, name='Max year:')\n",
    "# selector = alt.selection_single(name=\"SelectorName\", fields=['year_int'],\n",
    "#                                 bind=slider, init={'year_int': corg_melt['year_int'].min()},\n",
    "#                                nearest=True)\n",
    "\n",
    "selector = alt.selection_point(name=\"SelectorName\", fields=['year_int'],\n",
    "                                bind=slider, value=corg_melt['year_int'].min(), #init={'year_int': corg_melt['year_int'].min()},\n",
    "                               nearest=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "4467f02f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "  #altair-viz-7c7bc1f1298348059e1937754bcc84cb.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-7c7bc1f1298348059e1937754bcc84cb\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
       "  (function(spec, embedOpt){\n",
       "    let outputDiv = document.currentScript.previousElementSibling;\n",
       "    if (outputDiv.id !== \"altair-viz-7c7bc1f1298348059e1937754bcc84cb\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-7c7bc1f1298348059e1937754bcc84cb\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "          s.async = true;\n",
       "          s.onload = () => {\n",
       "            VEGA_DEBUG[key] = version;\n",
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       "          };\n",
       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
       "          s.src = paths[lib];\n",
       "        });\n",
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       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
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       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
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\"SelectorName\", \"select\": {\"type\": \"point\", \"fields\": [\"year_int\"], \"nearest\": true}, \"bind\": {\"input\": \"range\", \"max\": 2020, \"min\": 1917, \"name\": \"Max year:\", \"step\": 1}, \"value\": 1917, \"views\": [\"view_4\"]}], \"width\": 800, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-2865b2b0e950319ed94992a8cb80bd0f\": [{\"Country\": \"United States\", \"Longitude\": -100.445882, \"Latitude\": 39.7837304, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Brazil\", \"Longitude\": -53.2, \"Latitude\": -10.3333333, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Russia\", \"Longitude\": 97.7453061, \"Latitude\": 64.6863136, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Japan\", \"Longitude\": 139.2394179, \"Latitude\": 36.5748441, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Vietnam\", \"Longitude\": 107.9650855, \"Latitude\": 15.9266657, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Germany\", \"Longitude\": 10.4478313, \"Latitude\": 51.1638175, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"France\", \"Longitude\": 1.8883335, \"Latitude\": 46.603354, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"United Kingdom\", \"Longitude\": -3.2765753, \"Latitude\": 54.7023545, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 1, \"year_int\": 1917}, {\"Country\": \"Italy\", \"Longitude\": 12.674297, \"Latitude\": 42.6384261, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"South Africa\", \"Longitude\": 24.991639, \"Latitude\": -28.8166236, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Ukraine\", \"Longitude\": 31.2718321, \"Latitude\": 49.4871968, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Spain\", \"Longitude\": -4.8379791, \"Latitude\": 39.3260685, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Poland\", \"Longitude\": 19.134422, \"Latitude\": 52.215933, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Canada\", \"Longitude\": -107.991707, \"Latitude\": 61.0666922, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Korea, North\", \"Longitude\": 127.0870417, \"Latitude\": 40.3736611, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Romania\", \"Longitude\": 24.6859225, \"Latitude\": 45.9852129, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Australia\", \"Longitude\": 134.755, \"Latitude\": -24.7761086, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Portugal\", \"Longitude\": -8.1353519, \"Latitude\": 39.6621648, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Belgium\", \"Longitude\": 4.6667145, \"Latitude\": 50.6402809, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Czech Republic\", \"Longitude\": 15.3381061, \"Latitude\": 49.7439047, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Hungary\", \"Longitude\": 19.5060937, \"Latitude\": 47.1817585, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Belarus\", \"Longitude\": 27.6971358, \"Latitude\": 53.4250605, \"Year\": \"1917-01-01T00:00:00\", \"cumulative_sum\": 0, \"year_int\": 1917}, {\"Country\": \"Sweden\", \"Longitude\": 14.5208584, \"Latitude\": 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\"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 7, \"year_int\": 2019}, {\"Country\": \"Australia\", \"Longitude\": 134.755, \"Latitude\": -24.7761086, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 891, \"year_int\": 2019}, {\"Country\": \"Portugal\", \"Longitude\": -8.1353519, \"Latitude\": 39.6621648, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 7, \"year_int\": 2019}, {\"Country\": \"Belgium\", \"Longitude\": 4.6667145, \"Latitude\": 50.6402809, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 110, \"year_int\": 2019}, {\"Country\": \"Czech Republic\", \"Longitude\": 15.3381061, \"Latitude\": 49.7439047, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 271, \"year_int\": 2019}, {\"Country\": \"Hungary\", \"Longitude\": 19.5060937, \"Latitude\": 47.1817585, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 8, \"year_int\": 2019}, {\"Country\": \"Belarus\", \"Longitude\": 27.6971358, \"Latitude\": 53.4250605, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 38, \"year_int\": 2019}, {\"Country\": \"Sweden\", \"Longitude\": 14.5208584, \"Latitude\": 59.6749712, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 2007, \"year_int\": 2019}, {\"Country\": \"Austria\", \"Longitude\": 14.12456, \"Latitude\": 47.59397, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2019}, {\"Country\": \"Switzerland\", \"Longitude\": 8.2319736, \"Latitude\": 46.7985624, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 30, \"year_int\": 2019}, {\"Country\": \"Israel\", \"Longitude\": 34.63358319049945, \"Latitude\": 31.39480005, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 32, \"year_int\": 2019}, {\"Country\": \"Serbia\", \"Longitude\": 20.55144, \"Latitude\": 44.1534121, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 2, \"year_int\": 2019}, {\"Country\": \"Denmark\", \"Longitude\": 10.3333283, \"Latitude\": 55.670249, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 2176, \"year_int\": 2019}, {\"Country\": \"Finland\", \"Longitude\": 25.9209164, \"Latitude\": 63.2467777, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 4048, \"year_int\": 2019}, {\"Country\": \"Norway\", \"Longitude\": 8.7876653, \"Latitude\": 61.1529386, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 1077, \"year_int\": 2019}, {\"Country\": \"Croatia\", \"Longitude\": 15.6575209, \"Latitude\": 45.3658443, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 21, \"year_int\": 2019}, {\"Country\": \"New Zealand\", \"Longitude\": 172.8344077, \"Latitude\": -41.5000831, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 1097, \"year_int\": 2019}, {\"Country\": \"Ireland\", \"Longitude\": -7.9794599, \"Latitude\": 52.865196, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2019}, {\"Country\": \"Lithuania\", \"Longitude\": 23.7499997, \"Latitude\": 55.3500003, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2019}, {\"Country\": \"Uruguay\", \"Longitude\": -56.0201525, \"Latitude\": -32.8755548, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 2, \"year_int\": 2019}, {\"Country\": \"Latvia\", \"Longitude\": 24.7537645, \"Latitude\": 56.8406494, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 3, \"year_int\": 2019}, {\"Country\": \"Slovenia\", \"Longitude\": 14.8153333, \"Latitude\": 46.1199444, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 1, \"year_int\": 2019}, {\"Country\": \"Estonia\", \"Longitude\": 25.3319078, \"Latitude\": 58.7523778, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 97, \"year_int\": 2019}, {\"Country\": \"Netherlands\", \"Longitude\": 5.541246849406163, \"Latitude\": 52.24764975, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 536, \"year_int\": 2019}, {\"Country\": \"Kosovo\", \"Longitude\": 20.9021231, \"Latitude\": 42.5869578, \"Year\": \"2019-01-01T00:00:00\", \"cumulative_sum\": 632, \"year_int\": 2019}, {\"Country\": \"United States\", \"Longitude\": -100.445882, \"Latitude\": 39.7837304, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 16130, \"year_int\": 2020}, {\"Country\": \"Brazil\", \"Longitude\": -53.2, \"Latitude\": -10.3333333, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 1, \"year_int\": 2020}, {\"Country\": \"Russia\", \"Longitude\": 97.7453061, \"Latitude\": 64.6863136, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 1834, \"year_int\": 2020}, {\"Country\": \"Japan\", \"Longitude\": 139.2394179, \"Latitude\": 36.5748441, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 7, \"year_int\": 2020}, {\"Country\": \"Vietnam\", \"Longitude\": 107.9650855, \"Latitude\": 15.9266657, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 4, \"year_int\": 2020}, {\"Country\": \"Germany\", \"Longitude\": 10.4478313, \"Latitude\": 51.1638175, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 892, \"year_int\": 2020}, {\"Country\": \"France\", \"Longitude\": 1.8883335, \"Latitude\": 46.603354, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 597, \"year_int\": 2020}, {\"Country\": \"United Kingdom\", \"Longitude\": -3.2765753, \"Latitude\": 54.7023545, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2649, \"year_int\": 2020}, {\"Country\": \"Italy\", \"Longitude\": 12.674297, \"Latitude\": 42.6384261, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 106, \"year_int\": 2020}, {\"Country\": \"South Africa\", \"Longitude\": 24.991639, \"Latitude\": -28.8166236, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 28, \"year_int\": 2020}, {\"Country\": \"Ukraine\", \"Longitude\": 31.2718321, \"Latitude\": 49.4871968, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 19, \"year_int\": 2020}, {\"Country\": \"Spain\", \"Longitude\": -4.8379791, \"Latitude\": 39.3260685, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 5, \"year_int\": 2020}, {\"Country\": \"Poland\", \"Longitude\": 19.134422, \"Latitude\": 52.215933, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 859, \"year_int\": 2020}, {\"Country\": \"Canada\", \"Longitude\": -107.991707, \"Latitude\": 61.0666922, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 391, \"year_int\": 2020}, {\"Country\": \"Korea, North\", \"Longitude\": 127.0870417, \"Latitude\": 40.3736611, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 5, \"year_int\": 2020}, {\"Country\": \"Romania\", \"Longitude\": 24.6859225, \"Latitude\": 45.9852129, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 7, \"year_int\": 2020}, {\"Country\": \"Australia\", \"Longitude\": 134.755, \"Latitude\": -24.7761086, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 891, \"year_int\": 2020}, {\"Country\": \"Portugal\", \"Longitude\": -8.1353519, \"Latitude\": 39.6621648, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 7, \"year_int\": 2020}, {\"Country\": \"Belgium\", \"Longitude\": 4.6667145, \"Latitude\": 50.6402809, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 110, \"year_int\": 2020}, {\"Country\": \"Czech Republic\", \"Longitude\": 15.3381061, \"Latitude\": 49.7439047, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 271, \"year_int\": 2020}, {\"Country\": \"Hungary\", \"Longitude\": 19.5060937, \"Latitude\": 47.1817585, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 8, \"year_int\": 2020}, {\"Country\": \"Belarus\", \"Longitude\": 27.6971358, \"Latitude\": 53.4250605, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 38, \"year_int\": 2020}, {\"Country\": \"Sweden\", \"Longitude\": 14.5208584, \"Latitude\": 59.6749712, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2008, \"year_int\": 2020}, {\"Country\": \"Austria\", \"Longitude\": 14.12456, \"Latitude\": 47.59397, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2020}, {\"Country\": \"Switzerland\", \"Longitude\": 8.2319736, \"Latitude\": 46.7985624, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 30, \"year_int\": 2020}, {\"Country\": \"Israel\", \"Longitude\": 34.63358319049945, \"Latitude\": 31.39480005, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 32, \"year_int\": 2020}, {\"Country\": \"Serbia\", \"Longitude\": 20.55144, \"Latitude\": 44.1534121, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2, \"year_int\": 2020}, {\"Country\": \"Denmark\", \"Longitude\": 10.3333283, \"Latitude\": 55.670249, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2176, \"year_int\": 2020}, {\"Country\": \"Finland\", \"Longitude\": 25.9209164, \"Latitude\": 63.2467777, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 4051, \"year_int\": 2020}, {\"Country\": \"Norway\", \"Longitude\": 8.7876653, \"Latitude\": 61.1529386, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 1077, \"year_int\": 2020}, {\"Country\": \"Croatia\", \"Longitude\": 15.6575209, \"Latitude\": 45.3658443, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 21, \"year_int\": 2020}, {\"Country\": \"New Zealand\", \"Longitude\": 172.8344077, \"Latitude\": -41.5000831, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 1097, \"year_int\": 2020}, {\"Country\": \"Ireland\", \"Longitude\": -7.9794599, \"Latitude\": 52.865196, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2020}, {\"Country\": \"Lithuania\", \"Longitude\": 23.7499997, \"Latitude\": 55.3500003, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 29, \"year_int\": 2020}, {\"Country\": \"Uruguay\", \"Longitude\": -56.0201525, \"Latitude\": -32.8755548, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 2, \"year_int\": 2020}, {\"Country\": \"Latvia\", \"Longitude\": 24.7537645, \"Latitude\": 56.8406494, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 3, \"year_int\": 2020}, {\"Country\": \"Slovenia\", \"Longitude\": 14.8153333, \"Latitude\": 46.1199444, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 1, \"year_int\": 2020}, {\"Country\": \"Estonia\", \"Longitude\": 25.3319078, \"Latitude\": 58.7523778, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 97, \"year_int\": 2020}, {\"Country\": \"Netherlands\", \"Longitude\": 5.541246849406163, \"Latitude\": 52.24764975, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 536, \"year_int\": 2020}, {\"Country\": \"Kosovo\", \"Longitude\": 20.9021231, \"Latitude\": 42.5869578, \"Year\": \"2020-01-01T00:00:00\", \"cumulative_sum\": 649, \"year_int\": 2020}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo = alt.topo_feature(data.world_110m.url, feature='countries')\n",
    "\n",
    "# US states background\n",
    "world = alt.Chart(geo).mark_geoshape(\n",
    "    fill='lightgray',\n",
    "    stroke='black'\n",
    ").properties(\n",
    "    width=800,\n",
    "    height=500\n",
    "#).project('mercator') # note we have a few projections we can use!\n",
    ").project('equirectangular') # note we have a few projections we can use!\n",
    "\n",
    "points = alt.Chart(corg_melt).mark_circle().encode(\n",
    "    longitude='Longitude:Q',\n",
    "    latitude='Latitude:Q',\n",
    "    #size=alt.Size('Total Corg:Q',scale=alt.Scale(type='log')),\n",
    "    size=alt.condition(\n",
    "        #((alt.datum.year_int < selector.year_int-10)&(alt.datum.year_int >= selector.year_int)),\n",
    "        #(alt.datum.year_int < selector.year_int),\n",
    "        #\"datum.year_int == selector.year_int\",\n",
    "        #alt.expr.datum['year_int'] < selector.year_int,\n",
    "        selector,\n",
    "        alt.Size('cumulative_sum:Q',scale=None), alt.value(0)\n",
    "    ),\n",
    "    tooltip=['Country','cumulative_sum'],\n",
    ").add_params(\n",
    "    selector\n",
    "#).add_selection(\n",
    "#    selector\n",
    ")\n",
    "\n",
    "world + points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "925dd8fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "chart_out = world + points\n",
    "\n",
    "chart_out.properties(width='container').save(myJekyllDir+\"corgis_dotchart_world_smooth.json\") "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "240f2707",
   "metadata": {},
   "source": [
    "Groovy!\n",
    "\n",
    "One thing to note here is how much of the data cleaning and transformation we ended up doing in Python.  In theory one probably *could* do this in Altair/vega-lite, but not without a lot of headache and in Python, we have the option of checking each \"stage\" of our data transformation so we can make sure it makes sense -- in vega-lite/Altair, we don't really have this option (as easily)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e385a097",
   "metadata": {},
   "source": [
    "### Corgi data and choropleth\n",
    "\n",
    "One final thing (well, not final final, there are infinite things we can do!) is to instead of plotting points on a map, we can color the a map of the world by the population of corgis at a particular time.  \n",
    "\n",
    "This is called a [choropleth map](https://altair-viz.github.io/gallery/choropleth.html), and this is probably the last time I will EVER spell that correctly :D \n",
    "\n",
    "These can be [a little tricky in Altair](https://altair-viz.github.io/altair-tutorial/notebooks/09-Geographic-plots.html#colored-choropleths) since you have to map between pre-determined names of countries (as stored in the vegadataset world map) and however your data is stored."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5583f3d",
   "metadata": {},
   "source": [
    "Let's start with just coloring our mappable data based on the total corgis born.  First, based on the [documentation about how to do this](https://altair-viz.github.io/altair-tutorial/notebooks/09-Geographic-plots.html#colored-choropleths) we know that we have to match up the world-map ID with whatever ID for each country as listed in our dataset.  There are also some [other transformation-related things to be aware of](https://stackoverflow.com/questions/59224026/how-to-add-a-slider-to-a-choropleth-in-altair) that we'll cover after we deal with the ID look up stuff.\n",
    "\n",
    "\n",
    "Let's dig a bit deeper with geopandas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "e2d642c1-cf9d-4473-8af9-771469e107b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import fiona\n",
    "# fiona.supported_drivers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "4393182c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "f350e176",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://cdn.jsdelivr.net/npm/vega-datasets@v1.29.0/data/world-110m.json'"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.world_110m.url"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "3b7784d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#gdf = geopandas.read_file(data.world_110m.url,include_fields=['name'],layer='countries', driver='GeoJSON')\n",
    "gdf = geopandas.read_file(data.world_110m.url,layer='countries')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "822936ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "173  887  POLYGON ((52.38592 16.38285, 52.19152 15.93771...\n",
       "174  710  POLYGON ((28.21888 -32.77244, 27.46287 -33.227...\n",
       "175  894  POLYGON ((32.75853 -9.23064, 33.23013 -9.67747...\n",
       "176  716  POLYGON ((31.19251 -22.25149, 30.65971 -22.151...\n",
       "\n",
       "[177 rows x 2 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f520b97",
   "metadata": {},
   "source": [
    "So, here we see that there is this ID -- this matches up with each country, for example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "773ec570",
   "metadata": {},
   "outputs": [
    {
     "data": {
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     },
     "execution_count": 75,
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    }
   ],
   "source": [
    "gdf.iloc[0]['geometry']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "894e919d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "<shapely.geometry.multipolygon.MultiPolygon at 0x7f84d95f9610>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf.iloc[1]['geometry']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "229e1e69",
   "metadata": {},
   "source": [
    "Are both countries!  But how to find out which ones?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f59b2829",
   "metadata": {},
   "source": [
    "To do that, we have to map the ID's to their [world country codes](https://documentation-resources.opendatasoft.com/explore/dataset/natural-earth-countries-110m/information/).  Luckily, that is [already done for us](https://github.com/alisle/world-110m-country-codes)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "33b6169f",
   "metadata": {},
   "outputs": [],
   "source": [
    "country_codes = pd.read_json('https://raw.githubusercontent.com/alisle/world-110m-country-codes/master/world-110m-country-codes.json')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "67f8b834",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AF</td>\n",
       "      <td>4</td>\n",
       "      <td>Afghanistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AL</td>\n",
       "      <td>8</td>\n",
       "      <td>Albania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DZ</td>\n",
       "      <td>12</td>\n",
       "      <td>Algeria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AO</td>\n",
       "      <td>24</td>\n",
       "      <td>Angola</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AQ</td>\n",
       "      <td>10</td>\n",
       "      <td>Antarctica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  code  id         name\n",
       "0   AF   4  Afghanistan\n",
       "1   AL   8      Albania\n",
       "2   DZ  12      Algeria\n",
       "3   AO  24       Angola\n",
       "4   AQ  10   Antarctica"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_codes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "9815d0cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AF</td>\n",
       "      <td>Afghanistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AL</td>\n",
       "      <td>Albania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>DZ</td>\n",
       "      <td>Algeria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>AO</td>\n",
       "      <td>Angola</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>AQ</td>\n",
       "      <td>Antarctica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   code         name\n",
       "id                  \n",
       "4    AF  Afghanistan\n",
       "8    AL      Albania\n",
       "12   DZ      Algeria\n",
       "24   AO       Angola\n",
       "10   AQ   Antarctica"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_codes = country_codes.set_index('id')\n",
    "country_codes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "d8faba63",
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf['id'] = gdf['id'].astype('int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "030f9911",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      4\n",
       "1     24\n",
       "2      8\n",
       "3    784\n",
       "4     32\n",
       "Name: id, dtype: int64"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf['id'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8009388",
   "metadata": {},
   "source": [
    "Let's merge these two tables together by the country ID so that we can get the name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "7f1b4a8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf_comb = gdf.join(country_codes, on='id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "3387468c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>geometry</th>\n",
       "      <th>code</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>POLYGON ((61.20961 35.64925, 62.23202 35.27011...</td>\n",
       "      <td>AF</td>\n",
       "      <td>Afghanistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>24</td>\n",
       "      <td>MULTIPOLYGON (((23.91324 -10.92658, 24.01764 -...</td>\n",
       "      <td>AO</td>\n",
       "      <td>Angola</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>POLYGON ((20.59041 41.85586, 20.46440 41.51565...</td>\n",
       "      <td>AL</td>\n",
       "      <td>Albania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>784</td>\n",
       "      <td>POLYGON ((51.57952 24.24479, 51.75592 24.29387...</td>\n",
       "      <td>AE</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>32</td>\n",
       "      <td>MULTIPOLYGON (((-66.95887 -54.89756, -67.56368...</td>\n",
       "      <td>AR</td>\n",
       "      <td>Argentina</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id                                           geometry code  \\\n",
       "0    4  POLYGON ((61.20961 35.64925, 62.23202 35.27011...   AF   \n",
       "1   24  MULTIPOLYGON (((23.91324 -10.92658, 24.01764 -...   AO   \n",
       "2    8  POLYGON ((20.59041 41.85586, 20.46440 41.51565...   AL   \n",
       "3  784  POLYGON ((51.57952 24.24479, 51.75592 24.29387...   AE   \n",
       "4   32  MULTIPOLYGON (((-66.95887 -54.89756, -67.56368...   AR   \n",
       "\n",
       "                   name  \n",
       "0           Afghanistan  \n",
       "1                Angola  \n",
       "2               Albania  \n",
       "3  United Arab Emirates  \n",
       "4             Argentina  "
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf_comb.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "315eb159",
   "metadata": {},
   "source": [
    "Let's re-load our data to start from \"clean\":"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "c63d4c21",
   "metadata": {},
   "outputs": [],
   "source": [
    "corgs = pd.read_csv('https://raw.githubusercontent.com/UIUC-iSchool-DataViz/is445_data/main/corgs_per_country_over_time_columns_2020.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e02e38be",
   "metadata": {},
   "source": [
    "Clean this data with known naming issues:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "67c50b6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "corg_clean = corgs.rename(columns={'Netherlands Antilles':\"Netherlands\"})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee5cc513",
   "metadata": {},
   "source": [
    "And transpose it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "98adf91d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Years</th>\n",
       "      <th>Country</th>\n",
       "      <th>1917</th>\n",
       "      <th>1918</th>\n",
       "      <th>1919</th>\n",
       "      <th>1920</th>\n",
       "      <th>1921</th>\n",
       "      <th>1922</th>\n",
       "      <th>1923</th>\n",
       "      <th>1924</th>\n",
       "      <th>1925</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>408</td>\n",
       "      <td>431</td>\n",
       "      <td>376</td>\n",
       "      <td>280</td>\n",
       "      <td>301</td>\n",
       "      <td>229</td>\n",
       "      <td>213</td>\n",
       "      <td>198</td>\n",
       "      <td>118</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>89</td>\n",
       "      <td>82</td>\n",
       "      <td>115</td>\n",
       "      <td>127</td>\n",
       "      <td>237</td>\n",
       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Japan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 105 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Years        Country  1917  1918  1919  1920  1921  1922  1923  1924  1925  \\\n",
       "0      United States     0     0     0     0     0     0     0     0     0   \n",
       "1             Brazil     0     0     0     0     0     0     0     0     0   \n",
       "2             Russia     0     0     0     0     0     0     0     0     0   \n",
       "3              Japan     0     0     0     0     0     0     0     0     0   \n",
       "4            Vietnam     0     0     0     0     0     0     0     0     0   \n",
       "\n",
       "Years  ...  2011  2012  2013  2014  2015  2016  2017  2018  2019  2020  \n",
       "0      ...   408   431   376   280   301   229   213   198   118     2  \n",
       "1      ...     0     0     0     0     0     0     0     0     0     0  \n",
       "2      ...    89    82   115   127   237   217   260   329   189    16  \n",
       "3      ...     0     0     0     0     0     2     2     0     0     0  \n",
       "4      ...     0     0     0     0     0     0     1     3     0     0  \n",
       "\n",
       "[5 rows x 105 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean_t = corg_clean.set_index('Years').T\n",
    "corg_clean_t.index.name = 'Country'\n",
    "corg_clean2 = corg_clean_t.reset_index()\n",
    "corg_clean2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e3a2ed6",
   "metadata": {},
   "source": [
    "We could turn this into a cumulative sum, but instead, let's leave as is this time and focus on making a chorolpeth plot that shows the corgis born *in that year* instead of a cumulative sum."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca5cd0ad",
   "metadata": {},
   "source": [
    "Now let's see how many of these columns match up with the names that we have in our corgi table:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "b624152c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['United States', 'Brazil', 'Russia', 'Japan', 'Vietnam', 'Germany',\n",
       "       'France', 'United Kingdom', 'Italy', 'South Africa', 'Ukraine',\n",
       "       'Spain', 'Poland', 'Canada', 'Korea, North', 'Romania',\n",
       "       'Australia', 'Portugal', 'Belgium', 'Czech Republic', 'Hungary',\n",
       "       'Belarus', 'Sweden', 'Austria', 'Switzerland', 'Israel', 'Serbia',\n",
       "       'Denmark', 'Finland', 'Norway', 'Croatia', 'New Zealand',\n",
       "       'Ireland', 'Lithuania', 'Uruguay', 'Latvia', 'Slovenia', 'Estonia',\n",
       "       'Netherlands', 'Kosovo'], dtype=object)"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean2['Country'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "6c382c1c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no Russia\n",
      "no Vietnam\n",
      "no Korea, North\n",
      "no Kosovo\n"
     ]
    }
   ],
   "source": [
    "for c in corg_clean2['Country'].unique():\n",
    "    if c not in gdf_comb['name'].values:\n",
    "        print('no',c)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d572b6ca",
   "metadata": {},
   "source": [
    "So, once again, it seems that we are missing some names.  Let's see if we can get close with some fuzzy matching:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "52b28496",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Afghanistan', 'Angola', 'Albania', 'United Arab Emirates',\n",
       "       'Argentina', 'Armenia', 'Antarctica',\n",
       "       'French Southern Territories', 'Australia', 'Austria',\n",
       "       'Azerbaijan', 'Burundi', 'Belgium', 'Benin', 'Burkina Faso',\n",
       "       'Bangladesh', 'Bulgaria', 'Bahamas', 'Bosnia and Herzegovina',\n",
       "       'Belarus', 'Belize', 'Bolivia, Plurinational State of', 'Brazil',\n",
       "       'Brunei Darussalam', 'Bhutan', 'Botswana',\n",
       "       'Central African Republic', 'Canada', 'Switzerland', 'Chile',\n",
       "       'China', \"Cote d'Ivoire\", 'Cameroon',\n",
       "       'Congo, the Democratic Republic of the', 'Congo', 'Colombia',\n",
       "       'Costa Rica', 'Cuba', nan, 'Cyprus', 'Czech Republic', 'Germany',\n",
       "       'Djibouti', 'Denmark', 'Dominican Republic', 'Algeria', 'Ecuador',\n",
       "       'Egypt', 'Eritrea', 'Spain', 'Estonia', 'Ethiopia', 'Finland',\n",
       "       'Fiji', 'Falkland Islands (Malvinas)', 'France', 'Gabon',\n",
       "       'United Kingdom', 'Georgia', 'Ghana', 'Guinea', 'Gambia',\n",
       "       'Guinea-Bissau', 'Equatorial Guinea', 'Greece', 'Greenland',\n",
       "       'Guatemala', 'Guyana', 'Honduras', 'Croatia', 'Haiti', 'Hungary',\n",
       "       'Indonesia', 'India', 'Ireland', 'Iran, Islamic Republic of',\n",
       "       'Iraq', 'Iceland', 'Israel', 'Italy', 'Jamaica', 'Jordan', 'Japan',\n",
       "       'Kazakhstan', 'Kenya', 'Kyrgyzstan', 'Cambodia',\n",
       "       'Korea, Republic of', nan, 'Kuwait',\n",
       "       \"Lao People's Democratic Republic\", 'Lebanon', 'Liberia', 'Libya',\n",
       "       'Sri Lanka', 'Lesotho', 'Lithuania', 'Luxembourg', 'Latvia',\n",
       "       'Morocco', 'Moldova, Republic of', 'Madagascar', 'Mexico',\n",
       "       'Macedonia, the former Yugoslav Republic of', 'Mali', 'Myanmar',\n",
       "       'Montenegro', 'Mongolia', 'Mozambique', 'Mauritania', 'Malawi',\n",
       "       'Malaysia', 'Namibia', 'New Caledonia', 'Niger', 'Nigeria',\n",
       "       'Nicaragua', 'Netherlands', 'Norway', 'Nepal', 'New Zealand',\n",
       "       'Oman', 'Pakistan', 'Panama', 'Peru', 'Philippines',\n",
       "       'Papua New Guinea', 'Poland', 'Puerto Rico',\n",
       "       \"Korea, Democratic People's Republic of\", 'Portugal', 'Paraguay',\n",
       "       nan, 'Qatar', 'Romania', 'Russian Federation', 'Rwanda',\n",
       "       'Western Sahara', 'Saudi Arabia', 'Sudan', 'South Sudan',\n",
       "       'Senegal', 'Solomon Islands', 'Sierra Leone', 'El Salvador', nan,\n",
       "       'Somalia', 'Serbia', 'Suriname', 'Slovakia', 'Slovenia', 'Sweden',\n",
       "       'Swaziland', 'Syrian Arab Republic', 'Chad', 'Togo', 'Thailand',\n",
       "       'Tajikistan', 'Turkmenistan', 'Timor-Leste', 'Trinidad and Tobago',\n",
       "       'Tunisia', 'Turkey', 'Taiwan, Province of China',\n",
       "       'Tanzania, United Republic of', 'Uganda', 'Ukraine', 'Uruguay',\n",
       "       'United States', 'Uzbekistan', 'Venezuela, Bolivarian Republic of',\n",
       "       'Viet Nam', 'Vanuatu', 'Yemen', 'South Africa', 'Zambia',\n",
       "       'Zimbabwe'], dtype=object)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf_comb['name'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "0bcec1ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>geometry</th>\n",
       "      <th>code</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>840</td>\n",
       "      <td>MULTIPOLYGON (((-155.68896 18.91661, -155.9373...</td>\n",
       "      <td>US</td>\n",
       "      <td>United States</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id                                           geometry code  \\\n",
       "168  840  MULTIPOLYGON (((-155.68896 18.91661, -155.9373...   US   \n",
       "\n",
       "              name  \n",
       "168  United States  "
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf_comb.loc[gdf_comb['name']=='United States']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "69131f0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Russia Russian Federation\n",
      "found ['Russian Federation'] for Russia\n",
      "Vietnam Viet Nam\n",
      "found ['Viet Nam'] for Vietnam\n",
      "no match Korea, North\n",
      "no match Kosovo\n"
     ]
    }
   ],
   "source": [
    "for c in corg_clean2['Country'].unique():\n",
    "    if c not in gdf_comb['name'].values: # if not in there, look for fuzzy\n",
    "        #print('no',c)\n",
    "        country_match = []\n",
    "        for cc in gdf_comb['name'].values:\n",
    "            #if c in cc: # there is an NaN\n",
    "            if type(cc)==str:\n",
    "                c2 = \"\".join(c.split()).lower()\n",
    "                cc2 = \"\".join(cc.split()).lower()\n",
    "                if c2 in cc2:\n",
    "                    country_match.append(cc)\n",
    "                    print(c,cc)\n",
    "        if len(country_match) >0:\n",
    "            print('found', country_match, 'for',c)\n",
    "        else:\n",
    "            print('no match',c)\n",
    "                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "c4cdfe95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "found ['Russian Federation'] for Russia\n",
      "found ['Viet Nam'] for Vietnam\n",
      "no match Korea, North\n",
      "no match Kosovo\n"
     ]
    }
   ],
   "source": [
    "# store these names to be the same as in our dataset\n",
    "for c in corg_clean2['Country'].unique():\n",
    "    if c not in gdf_comb['name'].values: # if not in there, look for fuzzy\n",
    "        #print('no',c)\n",
    "        country_match = []\n",
    "        for cc in gdf_comb['name'].values:\n",
    "            #if c in cc: # there is an NaN\n",
    "            if type(cc)==str:\n",
    "                c2 = \"\".join(c.split()).lower()\n",
    "                cc2 = \"\".join(cc.split()).lower()\n",
    "                if c2 in cc2:\n",
    "                    country_match.append(cc)\n",
    "                    #print(c,cc)\n",
    "        if len(country_match) >0:\n",
    "            print('found', country_match, 'for',c)\n",
    "            if len(country_match)==1: # only one\n",
    "                gdf_comb.loc[gdf_comb['name']==country_match[0],'name'] = c # replace\n",
    "        else:\n",
    "            print('no match',c)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a2cca7a",
   "metadata": {},
   "source": [
    "Missing ids for North Korea and Kosovo, in our original corgi dataset, but let's add the IDs that we can to our corgi dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "f4485747-5bdf-4e6a-9700-8b707f47418e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Years</th>\n",
       "      <th>Country</th>\n",
       "      <th>1917</th>\n",
       "      <th>1918</th>\n",
       "      <th>1919</th>\n",
       "      <th>1920</th>\n",
       "      <th>1921</th>\n",
       "      <th>1922</th>\n",
       "      <th>1923</th>\n",
       "      <th>1924</th>\n",
       "      <th>1925</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>408</td>\n",
       "      <td>431</td>\n",
       "      <td>376</td>\n",
       "      <td>280</td>\n",
       "      <td>301</td>\n",
       "      <td>229</td>\n",
       "      <td>213</td>\n",
       "      <td>198</td>\n",
       "      <td>118</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>89</td>\n",
       "      <td>82</td>\n",
       "      <td>115</td>\n",
       "      <td>127</td>\n",
       "      <td>237</td>\n",
       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Japan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 105 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Years        Country  1917  1918  1919  1920  1921  1922  1923  1924  1925  \\\n",
       "0      United States     0     0     0     0     0     0     0     0     0   \n",
       "1             Brazil     0     0     0     0     0     0     0     0     0   \n",
       "2             Russia     0     0     0     0     0     0     0     0     0   \n",
       "3              Japan     0     0     0     0     0     0     0     0     0   \n",
       "4            Vietnam     0     0     0     0     0     0     0     0     0   \n",
       "\n",
       "Years  ...  2011  2012  2013  2014  2015  2016  2017  2018  2019  2020  \n",
       "0      ...   408   431   376   280   301   229   213   198   118     2  \n",
       "1      ...     0     0     0     0     0     0     0     0     0     0  \n",
       "2      ...    89    82   115   127   237   217   260   329   189    16  \n",
       "3      ...     0     0     0     0     0     2     2     0     0     0  \n",
       "4      ...     0     0     0     0     0     0     1     3     0     0  \n",
       "\n",
       "[5 rows x 105 columns]"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_clean2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "6c1a1dd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#corg_clean2.join?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "3de8ad00",
   "metadata": {},
   "outputs": [],
   "source": [
    "corg_join = corg_clean2.reset_index().merge(gdf_comb,right_on='name',left_on='Country')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "abeb7b75",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>index</th>\n",
       "      <th>Country</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "      <td>POLYGON ((-57.62398 -30.21667, -56.29196 -28.8...</td>\n",
       "      <td>BR</td>\n",
       "      <td>Brazil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Russia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>237</td>\n",
       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
       "      <td>643</td>\n",
       "      <td>MULTIPOLYGON (((142.09162 45.96708, 141.90802 ...</td>\n",
       "      <td>RU</td>\n",
       "      <td>Russia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Japan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>392</td>\n",
       "      <td>MULTIPOLYGON (((133.01593 32.70419, 132.36432 ...</td>\n",
       "      <td>JP</td>\n",
       "      <td>Japan</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Vietnam</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>704</td>\n",
       "      <td>POLYGON ((108.04968 21.55193, 106.71407 20.697...</td>\n",
       "      <td>VN</td>\n",
       "      <td>Vietnam</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 110 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   index        Country  1917  1918  1919  1920  1921  1922  1923  1924  ...  \\\n",
       "0      0  United States     0     0     0     0     0     0     0     0  ...   \n",
       "1      1         Brazil     0     0     0     0     0     0     0     0  ...   \n",
       "2      2         Russia     0     0     0     0     0     0     0     0  ...   \n",
       "3      3          Japan     0     0     0     0     0     0     0     0  ...   \n",
       "4      4        Vietnam     0     0     0     0     0     0     0     0  ...   \n",
       "\n",
       "   2015  2016  2017  2018  2019  2020   id  \\\n",
       "0   301   229   213   198   118     2  840   \n",
       "1     0     0     0     0     0     0   76   \n",
       "2   237   217   260   329   189    16  643   \n",
       "3     0     2     2     0     0     0  392   \n",
       "4     0     0     1     3     0     0  704   \n",
       "\n",
       "                                            geometry  code           name  \n",
       "0  MULTIPOLYGON (((-155.68896 18.91661, -155.9373...    US  United States  \n",
       "1  POLYGON ((-57.62398 -30.21667, -56.29196 -28.8...    BR         Brazil  \n",
       "2  MULTIPOLYGON (((142.09162 45.96708, 141.90802 ...    RU         Russia  \n",
       "3  MULTIPOLYGON (((133.01593 32.70419, 132.36432 ...    JP          Japan  \n",
       "4  POLYGON ((108.04968 21.55193, 106.71407 20.697...    VN        Vietnam  \n",
       "\n",
       "[5 rows x 110 columns]"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_join.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72b6b71b",
   "metadata": {},
   "source": [
    "Now that we have merged everything together, let's simplify this table a bit.  We know that we want a year slider, so let's change our columns from datetime to years:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "3b4ca36c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
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       "      <th>1919</th>\n",
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       "      <th>1924</th>\n",
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       "      <th>...</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
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       "      <th>2020</th>\n",
       "      <th>id</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>United States</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>82</td>\n",
       "      <td>115</td>\n",
       "      <td>127</td>\n",
       "      <td>237</td>\n",
       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
       "      <td>643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Japan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>704</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 106 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country  1917  1918  1919  1920  1921  1922  1923  1924  1925  ...  \\\n",
       "0  United States     0     0     0     0     0     0     0     0     0  ...   \n",
       "1         Brazil     0     0     0     0     0     0     0     0     0  ...   \n",
       "2         Russia     0     0     0     0     0     0     0     0     0  ...   \n",
       "3          Japan     0     0     0     0     0     0     0     0     0  ...   \n",
       "4        Vietnam     0     0     0     0     0     0     0     0     0  ...   \n",
       "\n",
       "   2012  2013  2014  2015  2016  2017  2018  2019  2020   id  \n",
       "0   431   376   280   301   229   213   198   118     2  840  \n",
       "1     0     0     0     0     0     0     0     0     0   76  \n",
       "2    82   115   127   237   217   260   329   189    16  643  \n",
       "3     0     0     0     0     2     2     0     0     0  392  \n",
       "4     0     0     0     0     0     1     3     0     0  704  \n",
       "\n",
       "[5 rows x 106 columns]"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_join_small = corg_join.copy()\n",
    "corg_join_small = corg_join_small.drop(['index','code','name','geometry'],axis=1)\n",
    "corg_join_small.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f9f28d7",
   "metadata": {},
   "source": [
    "Before making this interactive in anyway, let's first make a static plot.  This will help us explore [some of the transformations that we need to do](https://stackoverflow.com/questions/59224026/how-to-add-a-slider-to-a-choropleth-in-altair) to get this whole thing to work."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6a61aa3",
   "metadata": {},
   "source": [
    "Let's start with a black-background map:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "18b8427a",
   "metadata": {},
   "outputs": [
    {
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       "      outputDiv = document.getElementById(\"altair-viz-df85369535d04189bf0f7f3ad417f85a\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "          s.async = true;\n",
       "          s.onload = () => {\n",
       "            VEGA_DEBUG[key] = version;\n",
       "            return resolve(paths[lib]);\n",
       "          };\n",
       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
       "          s.src = paths[lib];\n",
       "        });\n",
       "    }\n",
       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"url\": \"https://cdn.jsdelivr.net/npm/vega-datasets@v1.29.0/data/world-110m.json\", \"format\": {\"feature\": \"countries\", \"type\": \"topojson\"}}, \"mark\": {\"type\": \"geoshape\", \"fill\": \"black\"}, \"projection\": {\"type\": \"equirectangular\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\"}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world = alt.topo_feature(data.world_110m.url, \"countries\")\n",
    "\n",
    "background = alt.Chart(world).mark_geoshape(fill=\"black\").project(\n",
    "    \"equirectangular\"\n",
    ")\n",
    "background"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69162b6d",
   "metadata": {},
   "source": [
    "Let's add the forground, and in this case, just pick one year to plot.  To select this year, let's first change the type of our columns:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "d6fb7a4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Country',      1917,      1918,      1919,      1920,      1921,\n",
       "            1922,      1923,      1924,      1925,\n",
       "       ...\n",
       "            2012,      2013,      2014,      2015,      2016,      2017,\n",
       "            2018,      2019,      2020,      'id'],\n",
       "      dtype='object', length=106)"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_join_small.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "85f93c64",
   "metadata": {},
   "outputs": [],
   "source": [
    "corg_join_small.columns = corg_join_small.columns.astype('str')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "9c79d7ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Country', '1917', '1918', '1919', '1920', '1921', '1922', '1923',\n",
       "       '1924', '1925',\n",
       "       ...\n",
       "       '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020',\n",
       "       'id'],\n",
       "      dtype='object', length=106)"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_join_small.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "5850ee25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>2019</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>118</td>\n",
       "      <td>840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russia</td>\n",
       "      <td>189</td>\n",
       "      <td>643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Japan</td>\n",
       "      <td>0</td>\n",
       "      <td>392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>0</td>\n",
       "      <td>704</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country  2019   id\n",
       "0  United States   118  840\n",
       "1         Brazil     0   76\n",
       "2         Russia   189  643\n",
       "3          Japan     0  392\n",
       "4        Vietnam     0  704"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_join_small_2019 = corg_join_small[['Country','2019','id']]\n",
    "corg_join_small_2019.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "3cf73021",
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = ['2019']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "7d407956",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-6f6a024ec3ab401aac8579933e225937.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-6f6a024ec3ab401aac8579933e225937.vega-embed details,\n",
       "  #altair-viz-6f6a024ec3ab401aac8579933e225937.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-6f6a024ec3ab401aac8579933e225937\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
       "  (function(spec, embedOpt){\n",
       "    let outputDiv = document.currentScript.previousElementSibling;\n",
       "    if (outputDiv.id !== \"altair-viz-6f6a024ec3ab401aac8579933e225937\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-6f6a024ec3ab401aac8579933e225937\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "          s.async = true;\n",
       "          s.onload = () => {\n",
       "            VEGA_DEBUG[key] = version;\n",
       "            return resolve(paths[lib]);\n",
       "          };\n",
       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
       "          s.src = paths[lib];\n",
       "        });\n",
       "    }\n",
       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"geoshape\", \"fill\": \"black\"}, \"projection\": {\"type\": \"equirectangular\"}}, {\"mark\": {\"type\": \"geoshape\"}, \"encoding\": {\"color\": {\"field\": \"2019\", \"scale\": {\"scheme\": \"blues\"}, \"type\": \"quantitative\"}}, \"transform\": [{\"lookup\": \"id\", \"from\": {\"data\": {\"name\": \"data-1f7f18f259e9b9ba5df0f9be43663535\"}, \"key\": \"id\", \"fields\": [\"2019\"]}}]}], \"data\": {\"url\": \"https://cdn.jsdelivr.net/npm/vega-datasets@v1.29.0/data/world-110m.json\", \"format\": {\"feature\": \"countries\", \"type\": \"topojson\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-1f7f18f259e9b9ba5df0f9be43663535\": [{\"Country\": \"United States\", \"2019\": 118, \"id\": 840}, {\"Country\": \"Brazil\", \"2019\": 0, \"id\": 76}, {\"Country\": \"Russia\", \"2019\": 189, \"id\": 643}, {\"Country\": \"Japan\", \"2019\": 0, \"id\": 392}, {\"Country\": \"Vietnam\", \"2019\": 0, \"id\": 704}, {\"Country\": \"Germany\", \"2019\": 30, \"id\": 276}, {\"Country\": \"France\", \"2019\": 62, \"id\": 250}, {\"Country\": \"United Kingdom\", \"2019\": 1, \"id\": 826}, {\"Country\": \"Italy\", \"2019\": 2, \"id\": 380}, {\"Country\": \"South Africa\", \"2019\": 0, \"id\": 710}, {\"Country\": \"Ukraine\", \"2019\": 1, \"id\": 804}, {\"Country\": \"Spain\", \"2019\": 5, \"id\": 724}, {\"Country\": \"Poland\", \"2019\": 34, \"id\": 616}, {\"Country\": \"Canada\", \"2019\": 1, \"id\": 124}, {\"Country\": \"Romania\", \"2019\": 7, \"id\": 642}, {\"Country\": \"Australia\", \"2019\": 4, \"id\": 36}, {\"Country\": \"Portugal\", \"2019\": 2, \"id\": 620}, {\"Country\": \"Belgium\", \"2019\": 3, \"id\": 56}, {\"Country\": \"Czech Republic\", \"2019\": 7, \"id\": 203}, {\"Country\": \"Hungary\", \"2019\": 0, \"id\": 348}, {\"Country\": \"Belarus\", \"2019\": 17, \"id\": 112}, {\"Country\": \"Sweden\", \"2019\": 19, \"id\": 752}, {\"Country\": \"Austria\", \"2019\": 0, \"id\": 40}, {\"Country\": \"Switzerland\", \"2019\": 0, \"id\": 756}, {\"Country\": \"Israel\", \"2019\": 7, \"id\": 376}, {\"Country\": \"Serbia\", \"2019\": 0, \"id\": 688}, {\"Country\": \"Denmark\", \"2019\": 28, \"id\": 208}, {\"Country\": \"Finland\", \"2019\": 4, \"id\": 246}, {\"Country\": \"Norway\", \"2019\": 21, \"id\": 578}, {\"Country\": \"Croatia\", \"2019\": 0, \"id\": 191}, {\"Country\": \"New Zealand\", \"2019\": 0, \"id\": 554}, {\"Country\": \"Ireland\", \"2019\": 0, \"id\": 372}, {\"Country\": \"Lithuania\", \"2019\": 0, \"id\": 440}, {\"Country\": \"Uruguay\", \"2019\": 0, \"id\": 858}, {\"Country\": \"Latvia\", \"2019\": 0, \"id\": 428}, {\"Country\": \"Slovenia\", \"2019\": 0, \"id\": 705}, {\"Country\": \"Estonia\", \"2019\": 16, \"id\": 233}, {\"Country\": \"Netherlands\", \"2019\": 12, \"id\": 528}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foreground = alt.Chart(world).mark_geoshape(\n",
    ").transform_lookup(\n",
    "    lookup='id',\n",
    "    from_=alt.LookupData(corg_join_small_2019, 'id', columns)\n",
    ").encode(\n",
    "    color = alt.Color('2019:Q', scale=alt.Scale(scheme='blues'))\n",
    ")\n",
    "background+foreground"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8c16888",
   "metadata": {},
   "source": [
    "Next, let's use a [transform_fold](https://altair-viz.github.io/user_guide/transform/fold.html) operation to \"unwrap\" our data into a `year` variable and a `Corgs_Born` variable.  This is very similar to the \"melting\" operations we did above, but now, it will be done \"on the fly\" in vega-lite/Altair with each year selection.\n",
    "\n",
    "To do that, we need to specify which columns to use.  In our current case, we just have the 2019 column as what we want to transform by \"folding\":"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "83bb3b4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-47d93dffb9804081956cd3570a6bba8e.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-47d93dffb9804081956cd3570a6bba8e.vega-embed details,\n",
       "  #altair-viz-47d93dffb9804081956cd3570a6bba8e.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-47d93dffb9804081956cd3570a6bba8e\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
       "  (function(spec, embedOpt){\n",
       "    let outputDiv = document.currentScript.previousElementSibling;\n",
       "    if (outputDiv.id !== \"altair-viz-47d93dffb9804081956cd3570a6bba8e\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-47d93dffb9804081956cd3570a6bba8e\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "          s.async = true;\n",
       "          s.onload = () => {\n",
       "            VEGA_DEBUG[key] = version;\n",
       "            return resolve(paths[lib]);\n",
       "          };\n",
       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
       "          s.src = paths[lib];\n",
       "        });\n",
       "    }\n",
       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"geoshape\", \"fill\": \"black\"}, \"projection\": {\"type\": \"equirectangular\"}}, {\"mark\": {\"type\": \"geoshape\"}, \"encoding\": {\"color\": {\"field\": \"Corgs_Born\", \"scale\": {\"scheme\": \"blues\"}, \"type\": \"quantitative\"}}, \"transform\": [{\"lookup\": \"id\", \"from\": {\"data\": {\"name\": \"data-1f7f18f259e9b9ba5df0f9be43663535\"}, \"key\": \"id\", \"fields\": [\"2019\"]}}, {\"fold\": [\"2019\"], \"as\": [\"year\", \"Corgs_Born\"]}]}], \"data\": {\"url\": \"https://cdn.jsdelivr.net/npm/vega-datasets@v1.29.0/data/world-110m.json\", \"format\": {\"feature\": \"countries\", \"type\": \"topojson\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-1f7f18f259e9b9ba5df0f9be43663535\": [{\"Country\": \"United States\", \"2019\": 118, \"id\": 840}, {\"Country\": \"Brazil\", \"2019\": 0, \"id\": 76}, {\"Country\": \"Russia\", \"2019\": 189, \"id\": 643}, {\"Country\": \"Japan\", \"2019\": 0, \"id\": 392}, {\"Country\": \"Vietnam\", \"2019\": 0, \"id\": 704}, {\"Country\": \"Germany\", \"2019\": 30, \"id\": 276}, {\"Country\": \"France\", \"2019\": 62, \"id\": 250}, {\"Country\": \"United Kingdom\", \"2019\": 1, \"id\": 826}, {\"Country\": \"Italy\", \"2019\": 2, \"id\": 380}, {\"Country\": \"South Africa\", \"2019\": 0, \"id\": 710}, {\"Country\": \"Ukraine\", \"2019\": 1, \"id\": 804}, {\"Country\": \"Spain\", \"2019\": 5, \"id\": 724}, {\"Country\": \"Poland\", \"2019\": 34, \"id\": 616}, {\"Country\": \"Canada\", \"2019\": 1, \"id\": 124}, {\"Country\": \"Romania\", \"2019\": 7, \"id\": 642}, {\"Country\": \"Australia\", \"2019\": 4, \"id\": 36}, {\"Country\": \"Portugal\", \"2019\": 2, \"id\": 620}, {\"Country\": \"Belgium\", \"2019\": 3, \"id\": 56}, {\"Country\": \"Czech Republic\", \"2019\": 7, \"id\": 203}, {\"Country\": \"Hungary\", \"2019\": 0, \"id\": 348}, {\"Country\": \"Belarus\", \"2019\": 17, \"id\": 112}, {\"Country\": \"Sweden\", \"2019\": 19, \"id\": 752}, {\"Country\": \"Austria\", \"2019\": 0, \"id\": 40}, {\"Country\": \"Switzerland\", \"2019\": 0, \"id\": 756}, {\"Country\": \"Israel\", \"2019\": 7, \"id\": 376}, {\"Country\": \"Serbia\", \"2019\": 0, \"id\": 688}, {\"Country\": \"Denmark\", \"2019\": 28, \"id\": 208}, {\"Country\": \"Finland\", \"2019\": 4, \"id\": 246}, {\"Country\": \"Norway\", \"2019\": 21, \"id\": 578}, {\"Country\": \"Croatia\", \"2019\": 0, \"id\": 191}, {\"Country\": \"New Zealand\", \"2019\": 0, \"id\": 554}, {\"Country\": \"Ireland\", \"2019\": 0, \"id\": 372}, {\"Country\": \"Lithuania\", \"2019\": 0, \"id\": 440}, {\"Country\": \"Uruguay\", \"2019\": 0, \"id\": 858}, {\"Country\": \"Latvia\", \"2019\": 0, \"id\": 428}, {\"Country\": \"Slovenia\", \"2019\": 0, \"id\": 705}, {\"Country\": \"Estonia\", \"2019\": 16, \"id\": 233}, {\"Country\": \"Netherlands\", \"2019\": 12, \"id\": 528}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foreground = alt.Chart(world).mark_geoshape(\n",
    ").transform_lookup(\n",
    "    lookup='id',\n",
    "    from_=alt.LookupData(corg_join_small_2019, 'id', columns)\n",
    ").transform_fold( # this is so that we can do continuous updates\n",
    "    columns, as_=['year', 'Corgs_Born']\n",
    ").encode(\n",
    "    color = alt.Color('Corgs_Born:Q', scale=alt.Scale(scheme='blues'))\n",
    ")\n",
    "background+foreground"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f47ed4e2",
   "metadata": {},
   "source": [
    "So, this works for one year, but we want multiple years.  For this we need a slider like we had above:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "f92d367f",
   "metadata": {},
   "outputs": [],
   "source": [
    "slider = alt.binding_range(min=1917, max=2020, step=1, name='Year: ')\n",
    "# select_year = alt.selection_single(name=\"year\", fields=['year'], # will operate on a \"year\" variable calculated \"on the fly\"\n",
    "#                                    bind=slider, init={'year': 2006})\n",
    "\n",
    "select_year = alt.selection_point(name=\"year\", fields=['year'], # will operate on a \"year\" variable calculated \"on the fly\"\n",
    "                                   bind=slider, value = 2006)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f57cf59",
   "metadata": {},
   "source": [
    "Which years columns to use now?  Well, all of them!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "e84f9357",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['1917', '1918', '1919', '1920', '1921'], dtype='<U4')"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns = [str(year) for year in range(1917, 2022)]\n",
    "columns = np.array(columns).astype('str')\n",
    "columns[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "4069fb2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foreground = alt.Chart(world).mark_geoshape(\n",
    ").transform_lookup(\n",
    "    lookup='id',\n",
    "    from_=alt.LookupData(corg_join_small, 'id', columns)\n",
    ").transform_fold( # this is so that we can do continuous updates\n",
    "    columns, as_=['year', 'Corgs_Born']\n",
    ").encode(\n",
    "    color = alt.Color('Corgs_Born:Q', scale=alt.Scale(scheme='blues'))\n",
    ").add_params(\n",
    "    select_year\n",
    ").transform_filter(\n",
    "    select_year\n",
    ")\n",
    "background+foreground"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad653963",
   "metadata": {},
   "source": [
    "But wait!  That doesn't work how we think it should... as we can see by the colorbar -- we are getting NaN's.  That is because as discussed above, the slider is expecting integers and `year` is a string.  We got around this before by having an `year_int` column, but now we want to do this \"on the fly\" -- we can accomplish this by adding another transformation to our Altair specs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "ab8dd3d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<div id=\"altair-viz-70459f3f327148d3913e749d793b72ac\"></div>\n",
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       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
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       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
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       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
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       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
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\"id\": 528}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foreground = alt.Chart(world).mark_geoshape(\n",
    ").transform_lookup(\n",
    "    lookup='id',\n",
    "    from_=alt.LookupData(corg_join_small, 'id', columns)\n",
    ").transform_fold( # this is so that we can do continuous updates\n",
    "    columns, as_=['year', 'Corgs_Born']\n",
    ").transform_calculate(\n",
    "    year='parseInt(datum.year)',\n",
    ").encode(\n",
    "    color = alt.Color('Corgs_Born:Q', scale=alt.Scale(scheme='blues'))\n",
    ").add_params(\n",
    "    select_year\n",
    ").transform_filter(\n",
    "    select_year\n",
    ")\n",
    "background+foreground"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a8d9471",
   "metadata": {},
   "source": [
    "Nice!  One last thing -- let's make it a bit bigger and maybe change the colormap:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "f7424df9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<div id=\"altair-viz-cc5dbd535bc04af2be3d948e585e420e\"></div>\n",
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       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
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       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
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       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
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       "      requirejs.config({paths});\n",
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       "      maybeLoadScript(\"vega\", \"5\")\n",
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\"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 4, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 4, \"1958\": 1, \"1959\": 3, \"1960\": 0, \"1961\": 0, \"1962\": 11, \"1963\": 9, \"1964\": 9, \"1965\": 11, \"1966\": 11, \"1967\": 18, \"1968\": 8, \"1969\": 20, \"1970\": 12, \"1971\": 26, \"1972\": 22, \"1973\": 27, \"1974\": 33, \"1975\": 50, \"1976\": 22, \"1977\": 18, \"1978\": 42, \"1979\": 11, \"1980\": 39, \"1981\": 22, \"1982\": 49, \"1983\": 51, \"1984\": 32, \"1985\": 50, \"1986\": 48, \"1987\": 52, \"1988\": 34, \"1989\": 42, \"1990\": 41, \"1991\": 37, \"1992\": 24, \"1993\": 42, \"1994\": 19, \"1995\": 30, \"1996\": 23, \"1997\": 13, \"1998\": 3, \"1999\": 5, \"2000\": 2, \"2001\": 5, \"2002\": 7, \"2003\": 3, \"2004\": 1, \"2005\": 6, \"2006\": 5, \"2007\": 5, \"2008\": 3, \"2009\": 6, \"2010\": 3, \"2011\": 6, \"2012\": 0, \"2013\": 2, \"2014\": 1, \"2015\": 5, \"2016\": 3, \"2017\": 3, \"2018\": 3, \"2019\": 0, \"2020\": 0, \"id\": 554}, {\"Country\": \"Ireland\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 2, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 1, \"1968\": 0, \"1969\": 1, \"1970\": 1, \"1971\": 0, \"1972\": 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\"2018\": 12, \"2019\": 12, \"2020\": 0, \"id\": 528}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foreground = alt.Chart(world).mark_geoshape(\n",
    ").transform_lookup(\n",
    "    lookup='id',\n",
    "    from_=alt.LookupData(corg_join_small, 'id', columns)\n",
    ").transform_fold( # this is so that we can do continuous updates\n",
    "    columns, as_=['year', 'Corgs_Born']\n",
    ").transform_calculate(\n",
    "    year='parseInt(datum.year)',\n",
    ").encode(\n",
    "    color = alt.Color('Corgs_Born:Q', scale=alt.Scale(scheme='viridis')),\n",
    ").add_params(\n",
    "    select_year\n",
    ").transform_filter(\n",
    "    select_year\n",
    ")\n",
    "choro_corg = (background+foreground).properties(\n",
    "    width=700,\n",
    "    height=400\n",
    ")\n",
    "choro_corg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d34ae4f",
   "metadata": {},
   "source": [
    "I lied!  One last-last thing, [let's add in our tooltip](https://stackoverflow.com/questions/65987572/adding-dynamic-tooltip-and-title-to-choropleth-with-slider-in-altair):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "94c06b48-5940-4f32-8747-13df7fa4449f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['1917', '1918', '1919', '1920', '1921', '1922', '1923', '1924',\n",
       "       '1925', '1926', '1927', '1928', '1929', '1930', '1931', '1932',\n",
       "       '1933', '1934', '1935', '1936', '1937', '1938', '1939', '1940',\n",
       "       '1941', '1942', '1943', '1944', '1945', '1946', '1947', '1948',\n",
       "       '1949', '1950', '1951', '1952', '1953', '1954', '1955', '1956',\n",
       "       '1957', '1958', '1959', '1960', '1961', '1962', '1963', '1964',\n",
       "       '1965', '1966', '1967', '1968', '1969', '1970', '1971', '1972',\n",
       "       '1973', '1974', '1975', '1976', '1977', '1978', '1979', '1980',\n",
       "       '1981', '1982', '1983', '1984', '1985', '1986', '1987', '1988',\n",
       "       '1989', '1990', '1991', '1992', '1993', '1994', '1995', '1996',\n",
       "       '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004',\n",
       "       '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012',\n",
       "       '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020',\n",
       "       '2021'], dtype='<U4')"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "b58f67a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    if (outputDiv.id !== \"altair-viz-edc2acd6264e4ec29396cd0d075d5e84\") {\n",
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       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
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       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
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\"2010\": 179, \"2011\": 171, \"2012\": 143, \"2013\": 143, \"2014\": 198, \"2015\": 201, \"2016\": 186, \"2017\": 266, \"2018\": 83, \"2019\": 4, \"2020\": 3, \"id\": 246}, {\"Country\": \"Norway\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 0, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 0, \"1972\": 0, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, 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{\"Country\": \"New Zealand\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 4, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 4, \"1958\": 1, \"1959\": 3, \"1960\": 0, \"1961\": 0, \"1962\": 11, \"1963\": 9, \"1964\": 9, \"1965\": 11, \"1966\": 11, \"1967\": 18, \"1968\": 8, \"1969\": 20, \"1970\": 12, \"1971\": 26, \"1972\": 22, \"1973\": 27, \"1974\": 33, \"1975\": 50, \"1976\": 22, \"1977\": 18, \"1978\": 42, \"1979\": 11, \"1980\": 39, \"1981\": 22, \"1982\": 49, \"1983\": 51, \"1984\": 32, \"1985\": 50, \"1986\": 48, \"1987\": 52, \"1988\": 34, \"1989\": 42, \"1990\": 41, \"1991\": 37, \"1992\": 24, \"1993\": 42, \"1994\": 19, \"1995\": 30, \"1996\": 23, \"1997\": 13, \"1998\": 3, \"1999\": 5, \"2000\": 2, \"2001\": 5, \"2002\": 7, \"2003\": 3, \"2004\": 1, \"2005\": 6, \"2006\": 5, \"2007\": 5, \"2008\": 3, \"2009\": 6, \"2010\": 3, \"2011\": 6, \"2012\": 0, \"2013\": 2, \"2014\": 1, \"2015\": 5, \"2016\": 3, \"2017\": 3, \"2018\": 3, \"2019\": 0, \"2020\": 0, \"id\": 554}, {\"Country\": \"Ireland\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 2, \"1958\": 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0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 0, \"1980\": 0, \"1981\": 0, \"1982\": 0, \"1983\": 0, \"1984\": 0, \"1985\": 0, \"1986\": 0, \"1987\": 0, \"1988\": 0, \"1989\": 0, \"1990\": 0, \"1991\": 0, \"1992\": 0, \"1993\": 0, \"1994\": 0, \"1995\": 0, \"1996\": 0, \"1997\": 0, \"1998\": 0, \"1999\": 0, \"2000\": 0, \"2001\": 0, \"2002\": 0, \"2003\": 0, \"2004\": 0, \"2005\": 0, \"2006\": 0, \"2007\": 0, \"2008\": 0, \"2009\": 0, \"2010\": 0, \"2011\": 0, \"2012\": 0, \"2013\": 0, \"2014\": 0, \"2015\": 0, \"2016\": 0, \"2017\": 2, \"2018\": 0, \"2019\": 0, \"2020\": 0, \"id\": 858}, {\"Country\": \"Latvia\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, 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\"id\": 428}, {\"Country\": \"Slovenia\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 0, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 0, \"1972\": 0, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 0, \"1980\": 0, \"1981\": 0, \"1982\": 0, \"1983\": 0, \"1984\": 0, \"1985\": 0, \"1986\": 0, \"1987\": 0, \"1988\": 0, \"1989\": 0, \"1990\": 1, \"1991\": 0, \"1992\": 0, \"1993\": 0, \"1994\": 0, \"1995\": 0, \"1996\": 0, \"1997\": 0, \"1998\": 0, \"1999\": 0, \"2000\": 0, \"2001\": 0, \"2002\": 0, \"2003\": 0, \"2004\": 0, \"2005\": 0, \"2006\": 0, \"2007\": 0, \"2008\": 0, \"2009\": 0, \"2010\": 0, \"2011\": 0, \"2012\": 0, \"2013\": 0, \"2014\": 0, \"2015\": 0, \"2016\": 0, \"2017\": 0, \"2018\": 0, \"2019\": 0, \"2020\": 0, \"id\": 705}, {\"Country\": \"Estonia\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, 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\"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 7, \"1965\": 0, \"1966\": 0, \"1967\": 14, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 1, \"1972\": 0, \"1973\": 12, \"1974\": 3, \"1975\": 0, \"1976\": 0, \"1977\": 1, \"1978\": 1, \"1979\": 0, \"1980\": 0, \"1981\": 4, \"1982\": 2, \"1983\": 2, \"1984\": 1, \"1985\": 0, \"1986\": 7, \"1987\": 4, \"1988\": 2, \"1989\": 0, \"1990\": 3, \"1991\": 1, \"1992\": 2, \"1993\": 2, \"1994\": 5, \"1995\": 5, \"1996\": 5, \"1997\": 4, \"1998\": 15, \"1999\": 1, \"2000\": 10, \"2001\": 14, \"2002\": 4, \"2003\": 8, \"2004\": 4, \"2005\": 28, \"2006\": 5, \"2007\": 19, \"2008\": 14, \"2009\": 29, \"2010\": 55, \"2011\": 29, \"2012\": 52, \"2013\": 42, \"2014\": 31, \"2015\": 22, \"2016\": 17, \"2017\": 25, \"2018\": 12, \"2019\": 12, \"2020\": 0, \"id\": 528}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foreground = alt.Chart(world).mark_geoshape(\n",
    ").transform_lookup(\n",
    "    lookup='id',\n",
    "    from_=alt.LookupData(corg_join_small, 'id', columns.tolist()+['Country']) # add country\n",
    ").transform_fold( # this is so that we can do continuous updates\n",
    "    columns, as_=['year', 'Corgs_Born'] # add in country\n",
    ").transform_calculate(\n",
    "    year='parseInt(datum.year)',\n",
    ").encode(\n",
    "    color = alt.Color('Corgs_Born:Q', scale=alt.Scale(scheme='viridis')),\n",
    "    tooltip=['Country:N','Corgs_Born:Q'] # data types might not be necessary\n",
    ").add_params(\n",
    "    select_year\n",
    ").transform_filter(\n",
    "    select_year\n",
    ")\n",
    "choro_corg = (background+foreground).properties(\n",
    "    width=700,\n",
    "    height=400\n",
    ")\n",
    "choro_corg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33e22cb0",
   "metadata": {},
   "source": [
    "Let's save it with a contain width tag!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "ecaab709",
   "metadata": {},
   "outputs": [],
   "source": [
    "chart_out = background+foreground\n",
    "\n",
    "chart_out.properties(width='container').save(myJekyllDir+\"corgis_choro_world.json\") "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "450fa51e",
   "metadata": {},
   "source": [
    "## Optional:\n",
    "\n",
    "Maybe try saving with HTML just as an example? https://altair-viz.github.io/user_guide/saving_charts.html"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "927b1453",
   "metadata": {},
   "source": [
    "https://stackoverflow.com/questions/59224026/how-to-add-a-slider-to-a-choropleth-in-altair"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23d6f729",
   "metadata": {},
   "source": [
    "## Clickable map\n",
    "\n",
    "What about using the map as the \"driver\" plot for a bar plot of the number of corgis born over time?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "2308e4e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>1917</th>\n",
       "      <th>1918</th>\n",
       "      <th>1919</th>\n",
       "      <th>1920</th>\n",
       "      <th>1921</th>\n",
       "      <th>1922</th>\n",
       "      <th>1923</th>\n",
       "      <th>1924</th>\n",
       "      <th>1925</th>\n",
       "      <th>...</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>431</td>\n",
       "      <td>376</td>\n",
       "      <td>280</td>\n",
       "      <td>301</td>\n",
       "      <td>229</td>\n",
       "      <td>213</td>\n",
       "      <td>198</td>\n",
       "      <td>118</td>\n",
       "      <td>2</td>\n",
       "      <td>840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>82</td>\n",
       "      <td>115</td>\n",
       "      <td>127</td>\n",
       "      <td>237</td>\n",
       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
       "      <td>643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Japan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>704</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 106 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country  1917  1918  1919  1920  1921  1922  1923  1924  1925  ...  \\\n",
       "0  United States     0     0     0     0     0     0     0     0     0  ...   \n",
       "1         Brazil     0     0     0     0     0     0     0     0     0  ...   \n",
       "2         Russia     0     0     0     0     0     0     0     0     0  ...   \n",
       "3          Japan     0     0     0     0     0     0     0     0     0  ...   \n",
       "4        Vietnam     0     0     0     0     0     0     0     0     0  ...   \n",
       "\n",
       "   2012  2013  2014  2015  2016  2017  2018  2019  2020   id  \n",
       "0   431   376   280   301   229   213   198   118     2  840  \n",
       "1     0     0     0     0     0     0     0     0     0   76  \n",
       "2    82   115   127   237   217   260   329   189    16  643  \n",
       "3     0     0     0     0     2     2     0     0     0  392  \n",
       "4     0     0     0     0     0     1     3     0     0  704  \n",
       "\n",
       "[5 rows x 106 columns]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_join_small.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ca1ac62",
   "metadata": {},
   "source": [
    "Let's sum up all:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "54f31f28",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     16130\n",
       "1         1\n",
       "2      1834\n",
       "3         7\n",
       "4         4\n",
       "5       892\n",
       "6       597\n",
       "7      2649\n",
       "8       106\n",
       "9        28\n",
       "10       19\n",
       "11        5\n",
       "12      859\n",
       "13      391\n",
       "14        7\n",
       "15      891\n",
       "16        7\n",
       "17      110\n",
       "18      271\n",
       "19        8\n",
       "20       38\n",
       "21     2008\n",
       "22       29\n",
       "23       30\n",
       "24       32\n",
       "25        2\n",
       "26     2176\n",
       "27     4051\n",
       "28     1077\n",
       "29       21\n",
       "30     1097\n",
       "31       29\n",
       "32       29\n",
       "33        2\n",
       "34        3\n",
       "35        1\n",
       "36       97\n",
       "37      536\n",
       "dtype: int64"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_join_small.loc[:,(corg_join_small.columns!='Country')&(corg_join_small.columns!='id')].sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "cde37acd",
   "metadata": {},
   "outputs": [],
   "source": [
    "corg_join = corg_join_small.copy()\n",
    "corg_join['Total Corg'] = corg_join_small.loc[:,(corg_join_small.columns!='Country')&(corg_join_small.columns!='id')].sum(axis=1).values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "13292731",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>1917</th>\n",
       "      <th>1918</th>\n",
       "      <th>1919</th>\n",
       "      <th>1920</th>\n",
       "      <th>1921</th>\n",
       "      <th>1922</th>\n",
       "      <th>1923</th>\n",
       "      <th>1924</th>\n",
       "      <th>1925</th>\n",
       "      <th>...</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>id</th>\n",
       "      <th>Total Corg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>376</td>\n",
       "      <td>280</td>\n",
       "      <td>301</td>\n",
       "      <td>229</td>\n",
       "      <td>213</td>\n",
       "      <td>198</td>\n",
       "      <td>118</td>\n",
       "      <td>2</td>\n",
       "      <td>840</td>\n",
       "      <td>16130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russia</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>115</td>\n",
       "      <td>127</td>\n",
       "      <td>237</td>\n",
       "      <td>217</td>\n",
       "      <td>260</td>\n",
       "      <td>329</td>\n",
       "      <td>189</td>\n",
       "      <td>16</td>\n",
       "      <td>643</td>\n",
       "      <td>1834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Japan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>392</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>704</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 107 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country  1917  1918  1919  1920  1921  1922  1923  1924  1925  ...  \\\n",
       "0  United States     0     0     0     0     0     0     0     0     0  ...   \n",
       "1         Brazil     0     0     0     0     0     0     0     0     0  ...   \n",
       "2         Russia     0     0     0     0     0     0     0     0     0  ...   \n",
       "3          Japan     0     0     0     0     0     0     0     0     0  ...   \n",
       "4        Vietnam     0     0     0     0     0     0     0     0     0  ...   \n",
       "\n",
       "   2013  2014  2015  2016  2017  2018  2019  2020   id  Total Corg  \n",
       "0   376   280   301   229   213   198   118     2  840       16130  \n",
       "1     0     0     0     0     0     0     0     0   76           1  \n",
       "2   115   127   237   217   260   329   189    16  643        1834  \n",
       "3     0     0     0     2     2     0     0     0  392           7  \n",
       "4     0     0     0     0     1     3     0     0  704           4  \n",
       "\n",
       "[5 rows x 107 columns]"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_join.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2b8811b",
   "metadata": {},
   "source": [
    "First, let's make a cholorpeth plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "25258a1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-2d76d626dc4b4634b09ff16000009329.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-2d76d626dc4b4634b09ff16000009329.vega-embed details,\n",
       "  #altair-viz-2d76d626dc4b4634b09ff16000009329.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-2d76d626dc4b4634b09ff16000009329\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
       "  (function(spec, embedOpt){\n",
       "    let outputDiv = document.currentScript.previousElementSibling;\n",
       "    if (outputDiv.id !== \"altair-viz-2d76d626dc4b4634b09ff16000009329\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-2d76d626dc4b4634b09ff16000009329\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "          s.async = true;\n",
       "          s.onload = () => {\n",
       "            VEGA_DEBUG[key] = version;\n",
       "            return resolve(paths[lib]);\n",
       "          };\n",
       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
       "          s.src = paths[lib];\n",
       "        });\n",
       "    }\n",
       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
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\"2007\": 199, \"2008\": 185, \"2009\": 157, \"2010\": 179, \"2011\": 171, \"2012\": 143, \"2013\": 143, \"2014\": 198, \"2015\": 201, \"2016\": 186, \"2017\": 266, \"2018\": 83, \"2019\": 4, \"2020\": 3, \"id\": 246, \"Total Corg\": 4051}, {\"Country\": \"Norway\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 0, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 0, \"1972\": 0, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 4, \"1980\": 5, \"1981\": 8, \"1982\": 5, \"1983\": 7, \"1984\": 7, \"1985\": 9, \"1986\": 7, \"1987\": 6, \"1988\": 4, \"1989\": 13, \"1990\": 0, \"1991\": 3, \"1992\": 5, \"1993\": 2, \"1994\": 9, \"1995\": 0, \"1996\": 0, \"1997\": 9, \"1998\": 7, \"1999\": 9, \"2000\": 10, \"2001\": 11, \"2002\": 11, \"2003\": 14, \"2004\": 14, \"2005\": 24, \"2006\": 25, \"2007\": 11, \"2008\": 42, \"2009\": 47, \"2010\": 49, \"2011\": 57, \"2012\": 69, \"2013\": 67, \"2014\": 99, \"2015\": 101, \"2016\": 103, \"2017\": 97, \"2018\": 86, \"2019\": 21, \"2020\": 0, \"id\": 578, \"Total Corg\": 1077}, {\"Country\": \"Croatia\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, 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\"2016\": 8, \"2017\": 4, \"2018\": 6, \"2019\": 0, \"2020\": 0, \"id\": 191, \"Total Corg\": 21}, {\"Country\": \"New Zealand\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 4, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 4, \"1958\": 1, \"1959\": 3, \"1960\": 0, \"1961\": 0, \"1962\": 11, \"1963\": 9, \"1964\": 9, \"1965\": 11, \"1966\": 11, \"1967\": 18, \"1968\": 8, \"1969\": 20, \"1970\": 12, \"1971\": 26, \"1972\": 22, \"1973\": 27, \"1974\": 33, \"1975\": 50, \"1976\": 22, \"1977\": 18, \"1978\": 42, \"1979\": 11, \"1980\": 39, \"1981\": 22, \"1982\": 49, \"1983\": 51, \"1984\": 32, \"1985\": 50, \"1986\": 48, \"1987\": 52, \"1988\": 34, \"1989\": 42, \"1990\": 41, \"1991\": 37, \"1992\": 24, \"1993\": 42, \"1994\": 19, \"1995\": 30, \"1996\": 23, \"1997\": 13, \"1998\": 3, \"1999\": 5, \"2000\": 2, \"2001\": 5, \"2002\": 7, \"2003\": 3, \"2004\": 1, \"2005\": 6, \"2006\": 5, \"2007\": 5, \"2008\": 3, \"2009\": 6, \"2010\": 3, \"2011\": 6, \"2012\": 0, \"2013\": 2, \"2014\": 1, \"2015\": 5, \"2016\": 3, \"2017\": 3, \"2018\": 3, \"2019\": 0, \"2020\": 0, \"id\": 554, \"Total Corg\": 1097}, {\"Country\": \"Ireland\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 2, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 1, \"1968\": 0, \"1969\": 1, \"1970\": 1, \"1971\": 0, \"1972\": 1, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 0, \"1980\": 0, \"1981\": 0, \"1982\": 1, \"1983\": 0, \"1984\": 0, \"1985\": 0, \"1986\": 0, \"1987\": 0, \"1988\": 0, \"1989\": 0, \"1990\": 0, \"1991\": 0, \"1992\": 0, \"1993\": 0, \"1994\": 0, \"1995\": 0, \"1996\": 6, \"1997\": 0, \"1998\": 0, \"1999\": 0, \"2000\": 0, \"2001\": 0, \"2002\": 0, \"2003\": 0, \"2004\": 7, \"2005\": 1, \"2006\": 4, \"2007\": 0, \"2008\": 0, \"2009\": 3, \"2010\": 0, \"2011\": 1, \"2012\": 0, \"2013\": 0, \"2014\": 0, \"2015\": 0, \"2016\": 0, \"2017\": 0, \"2018\": 0, \"2019\": 0, \"2020\": 0, \"id\": 372, \"Total Corg\": 29}, {\"Country\": 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0, \"1993\": 0, \"1994\": 0, \"1995\": 0, \"1996\": 0, \"1997\": 0, \"1998\": 0, \"1999\": 0, \"2000\": 0, \"2001\": 0, \"2002\": 0, \"2003\": 0, \"2004\": 0, \"2005\": 0, \"2006\": 0, \"2007\": 0, \"2008\": 0, \"2009\": 0, \"2010\": 5, \"2011\": 0, \"2012\": 0, \"2013\": 15, \"2014\": 0, \"2015\": 0, \"2016\": 9, \"2017\": 0, \"2018\": 0, \"2019\": 0, \"2020\": 0, \"id\": 440, \"Total Corg\": 29}, {\"Country\": \"Uruguay\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 0, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 0, \"1972\": 0, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 0, \"1980\": 0, \"1981\": 0, \"1982\": 0, \"1983\": 0, \"1984\": 0, \"1985\": 0, \"1986\": 0, \"1987\": 0, \"1988\": 0, \"1989\": 0, \"1990\": 0, \"1991\": 0, \"1992\": 0, \"1993\": 0, \"1994\": 0, \"1995\": 0, \"1996\": 0, \"1997\": 0, \"1998\": 0, \"1999\": 0, \"2000\": 0, \"2001\": 0, \"2002\": 0, \"2003\": 0, \"2004\": 0, \"2005\": 0, \"2006\": 0, \"2007\": 0, \"2008\": 0, \"2009\": 0, \"2010\": 0, \"2011\": 0, \"2012\": 0, \"2013\": 0, \"2014\": 0, \"2015\": 0, \"2016\": 0, \"2017\": 2, \"2018\": 0, \"2019\": 0, \"2020\": 0, \"id\": 858, \"Total Corg\": 2}, {\"Country\": \"Latvia\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 0, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 0, \"1972\": 0, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 0, \"1980\": 0, \"1981\": 0, \"1982\": 0, \"1983\": 0, \"1984\": 0, \"1985\": 0, \"1986\": 0, \"1987\": 0, \"1988\": 0, \"1989\": 0, \"1990\": 0, \"1991\": 0, \"1992\": 0, \"1993\": 0, \"1994\": 0, \"1995\": 0, \"1996\": 0, \"1997\": 0, \"1998\": 0, \"1999\": 0, \"2000\": 0, \"2001\": 0, \"2002\": 0, \"2003\": 0, \"2004\": 0, \"2005\": 0, \"2006\": 0, \"2007\": 1, \"2008\": 1, \"2009\": 0, \"2010\": 0, \"2011\": 1, \"2012\": 0, \"2013\": 0, \"2014\": 0, \"2015\": 0, \"2016\": 0, \"2017\": 0, \"2018\": 0, \"2019\": 0, \"2020\": 0, \"id\": 428, \"Total Corg\": 3}, {\"Country\": \"Slovenia\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 0, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 0, \"1972\": 0, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 0, \"1980\": 0, \"1981\": 0, \"1982\": 0, \"1983\": 0, \"1984\": 0, \"1985\": 0, \"1986\": 0, \"1987\": 0, \"1988\": 0, \"1989\": 0, \"1990\": 1, \"1991\": 0, \"1992\": 0, \"1993\": 0, \"1994\": 0, \"1995\": 0, \"1996\": 0, \"1997\": 0, \"1998\": 0, \"1999\": 0, \"2000\": 0, \"2001\": 0, \"2002\": 0, \"2003\": 0, \"2004\": 0, \"2005\": 0, \"2006\": 0, \"2007\": 0, \"2008\": 0, \"2009\": 0, \"2010\": 0, \"2011\": 0, \"2012\": 0, \"2013\": 0, \"2014\": 0, \"2015\": 0, \"2016\": 0, \"2017\": 0, \"2018\": 0, \"2019\": 0, \"2020\": 0, \"id\": 705, \"Total Corg\": 1}, {\"Country\": \"Estonia\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, 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16, \"2019\": 16, \"2020\": 0, \"id\": 233, \"Total Corg\": 97}, {\"Country\": \"Netherlands\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 7, \"1965\": 0, \"1966\": 0, \"1967\": 14, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 1, \"1972\": 0, \"1973\": 12, \"1974\": 3, \"1975\": 0, \"1976\": 0, \"1977\": 1, \"1978\": 1, \"1979\": 0, \"1980\": 0, \"1981\": 4, \"1982\": 2, \"1983\": 2, \"1984\": 1, \"1985\": 0, \"1986\": 7, \"1987\": 4, \"1988\": 2, \"1989\": 0, \"1990\": 3, \"1991\": 1, \"1992\": 2, \"1993\": 2, \"1994\": 5, \"1995\": 5, \"1996\": 5, \"1997\": 4, \"1998\": 15, \"1999\": 1, \"2000\": 10, \"2001\": 14, \"2002\": 4, \"2003\": 8, \"2004\": 4, \"2005\": 28, \"2006\": 5, \"2007\": 19, \"2008\": 14, \"2009\": 29, \"2010\": 55, \"2011\": 29, \"2012\": 52, \"2013\": 42, \"2014\": 31, \"2015\": 22, \"2016\": 17, \"2017\": 25, \"2018\": 12, \"2019\": 12, \"2020\": 0, \"id\": 528, \"Total Corg\": 536}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foreground = alt.Chart(world).mark_geoshape(\n",
    ").transform_lookup(\n",
    "    lookup='id',\n",
    "    from_=alt.LookupData(corg_join, 'id', ['Country', 'Total Corg']) # add country\n",
    ").encode(\n",
    "    color = alt.Color('Total Corg:Q', scale=alt.Scale(scheme='viridis', type='log')),\n",
    "    tooltip=['Country:N','Total Corg:Q'] # data types might not be necessary\n",
    ")\n",
    "\n",
    "choro_corg = (background+foreground).properties(\n",
    "    width=700,\n",
    "    height=400\n",
    ")\n",
    "choro_corg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "c5361147",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
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       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"geoshape\", \"fill\": \"black\"}, \"projection\": {\"type\": \"equirectangular\"}}, {\"mark\": {\"type\": \"geoshape\"}, \"encoding\": {\"color\": {\"field\": \"Total Corg\", \"scale\": {\"scheme\": \"viridis\", \"type\": \"log\"}, \"type\": \"quantitative\"}, \"tooltip\": [{\"field\": \"Country\", \"type\": \"nominal\"}, {\"field\": \"Total Corg\", \"type\": \"quantitative\"}]}, \"name\": \"view_11\", \"transform\": [{\"lookup\": \"id\", \"from\": {\"data\": {\"name\": \"data-9b38293e2bc2080d616b061e29defeb2\"}, \"key\": \"id\", \"fields\": [\"Country\", \"Total Corg\"]}}]}], \"data\": {\"url\": \"https://cdn.jsdelivr.net/npm/vega-datasets@v1.29.0/data/world-110m.json\", \"format\": {\"feature\": \"countries\", \"type\": \"topojson\"}}, \"height\": 400, \"params\": [{\"name\": \"param_1\", \"select\": {\"type\": \"point\", \"fields\": [\"id\"]}, \"views\": 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\"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 0, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 0, \"1972\": 0, \"1973\": 0, \"1974\": 11, \"1975\": 5, \"1976\": 1, \"1977\": 0, \"1978\": 0, \"1979\": 1, \"1980\": 9, \"1981\": 0, \"1982\": 3, \"1983\": 6, \"1984\": 6, \"1985\": 16, \"1986\": 12, \"1987\": 24, \"1988\": 37, \"1989\": 42, \"1990\": 63, \"1991\": 79, \"1992\": 98, \"1993\": 76, \"1994\": 97, \"1995\": 117, \"1996\": 110, \"1997\": 101, \"1998\": 67, \"1999\": 85, \"2000\": 107, \"2001\": 100, \"2002\": 77, \"2003\": 149, \"2004\": 123, \"2005\": 166, \"2006\": 145, \"2007\": 199, \"2008\": 185, \"2009\": 157, \"2010\": 179, \"2011\": 171, \"2012\": 143, \"2013\": 143, \"2014\": 198, \"2015\": 201, \"2016\": 186, \"2017\": 266, \"2018\": 83, \"2019\": 4, \"2020\": 3, \"id\": 246, \"Total Corg\": 4051}, {\"Country\": \"Norway\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 0, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 0, \"1972\": 0, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 4, \"1980\": 5, \"1981\": 8, \"1982\": 5, \"1983\": 7, \"1984\": 7, \"1985\": 9, \"1986\": 7, \"1987\": 6, \"1988\": 4, \"1989\": 13, \"1990\": 0, \"1991\": 3, \"1992\": 5, \"1993\": 2, \"1994\": 9, \"1995\": 0, \"1996\": 0, \"1997\": 9, \"1998\": 7, \"1999\": 9, \"2000\": 10, \"2001\": 11, \"2002\": 11, \"2003\": 14, \"2004\": 14, \"2005\": 24, \"2006\": 25, \"2007\": 11, \"2008\": 42, \"2009\": 47, \"2010\": 49, \"2011\": 57, \"2012\": 69, \"2013\": 67, \"2014\": 99, \"2015\": 101, \"2016\": 103, \"2017\": 97, \"2018\": 86, \"2019\": 21, \"2020\": 0, \"id\": 578, \"Total Corg\": 1077}, {\"Country\": \"Croatia\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 0, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 0, \"1972\": 0, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 0, \"1980\": 0, \"1981\": 0, \"1982\": 0, \"1983\": 0, \"1984\": 0, \"1985\": 0, \"1986\": 0, \"1987\": 0, \"1988\": 0, \"1989\": 0, \"1990\": 0, \"1991\": 0, \"1992\": 0, \"1993\": 0, \"1994\": 0, \"1995\": 0, \"1996\": 0, \"1997\": 0, \"1998\": 0, \"1999\": 0, \"2000\": 0, \"2001\": 0, \"2002\": 0, \"2003\": 0, \"2004\": 0, \"2005\": 0, \"2006\": 0, \"2007\": 0, \"2008\": 0, \"2009\": 0, \"2010\": 0, \"2011\": 0, \"2012\": 0, \"2013\": 0, \"2014\": 0, \"2015\": 3, \"2016\": 8, \"2017\": 4, \"2018\": 6, \"2019\": 0, \"2020\": 0, \"id\": 191, \"Total Corg\": 21}, {\"Country\": \"New Zealand\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 4, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 4, \"1958\": 1, \"1959\": 3, \"1960\": 0, \"1961\": 0, \"1962\": 11, \"1963\": 9, \"1964\": 9, \"1965\": 11, \"1966\": 11, \"1967\": 18, \"1968\": 8, \"1969\": 20, \"1970\": 12, \"1971\": 26, \"1972\": 22, \"1973\": 27, \"1974\": 33, \"1975\": 50, \"1976\": 22, \"1977\": 18, \"1978\": 42, \"1979\": 11, \"1980\": 39, \"1981\": 22, \"1982\": 49, \"1983\": 51, \"1984\": 32, \"1985\": 50, \"1986\": 48, \"1987\": 52, \"1988\": 34, \"1989\": 42, \"1990\": 41, \"1991\": 37, \"1992\": 24, \"1993\": 42, \"1994\": 19, \"1995\": 30, \"1996\": 23, \"1997\": 13, \"1998\": 3, \"1999\": 5, \"2000\": 2, \"2001\": 5, \"2002\": 7, \"2003\": 3, \"2004\": 1, \"2005\": 6, \"2006\": 5, \"2007\": 5, \"2008\": 3, \"2009\": 6, \"2010\": 3, \"2011\": 6, \"2012\": 0, \"2013\": 2, \"2014\": 1, \"2015\": 5, \"2016\": 3, \"2017\": 3, \"2018\": 3, \"2019\": 0, \"2020\": 0, \"id\": 554, \"Total Corg\": 1097}, {\"Country\": \"Ireland\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 2, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 1, \"1968\": 0, \"1969\": 1, \"1970\": 1, \"1971\": 0, \"1972\": 1, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 0, \"1980\": 0, \"1981\": 0, \"1982\": 1, \"1983\": 0, \"1984\": 0, \"1985\": 0, \"1986\": 0, \"1987\": 0, \"1988\": 0, \"1989\": 0, \"1990\": 0, \"1991\": 0, \"1992\": 0, \"1993\": 0, \"1994\": 0, \"1995\": 0, \"1996\": 6, \"1997\": 0, \"1998\": 0, \"1999\": 0, \"2000\": 0, \"2001\": 0, \"2002\": 0, \"2003\": 0, \"2004\": 7, \"2005\": 1, \"2006\": 4, \"2007\": 0, \"2008\": 0, \"2009\": 3, \"2010\": 0, \"2011\": 1, \"2012\": 0, \"2013\": 0, \"2014\": 0, \"2015\": 0, \"2016\": 0, \"2017\": 0, \"2018\": 0, \"2019\": 0, \"2020\": 0, \"id\": 372, \"Total Corg\": 29}, {\"Country\": \"Lithuania\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 0, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 0, \"1972\": 0, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 0, \"1980\": 0, \"1981\": 0, \"1982\": 0, \"1983\": 0, \"1984\": 0, \"1985\": 0, \"1986\": 0, \"1987\": 0, \"1988\": 0, \"1989\": 0, \"1990\": 0, \"1991\": 0, \"1992\": 0, \"1993\": 0, \"1994\": 0, \"1995\": 0, \"1996\": 0, \"1997\": 0, \"1998\": 0, \"1999\": 0, \"2000\": 0, \"2001\": 0, \"2002\": 0, \"2003\": 0, \"2004\": 0, \"2005\": 0, \"2006\": 0, \"2007\": 0, \"2008\": 0, \"2009\": 0, \"2010\": 5, \"2011\": 0, \"2012\": 0, \"2013\": 15, \"2014\": 0, \"2015\": 0, \"2016\": 9, \"2017\": 0, \"2018\": 0, \"2019\": 0, \"2020\": 0, \"id\": 440, \"Total Corg\": 29}, {\"Country\": \"Uruguay\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, 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\"1977\": 1, \"1978\": 1, \"1979\": 0, \"1980\": 0, \"1981\": 4, \"1982\": 2, \"1983\": 2, \"1984\": 1, \"1985\": 0, \"1986\": 7, \"1987\": 4, \"1988\": 2, \"1989\": 0, \"1990\": 3, \"1991\": 1, \"1992\": 2, \"1993\": 2, \"1994\": 5, \"1995\": 5, \"1996\": 5, \"1997\": 4, \"1998\": 15, \"1999\": 1, \"2000\": 10, \"2001\": 14, \"2002\": 4, \"2003\": 8, \"2004\": 4, \"2005\": 28, \"2006\": 5, \"2007\": 19, \"2008\": 14, \"2009\": 29, \"2010\": 55, \"2011\": 29, \"2012\": 52, \"2013\": 42, \"2014\": 31, \"2015\": 22, \"2016\": 17, \"2017\": 25, \"2018\": 12, \"2019\": 12, \"2020\": 0, \"id\": 528, \"Total Corg\": 536}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selector = alt.selection_point(fields=['id'])\n",
    "\n",
    "foreground = alt.Chart(world).mark_geoshape(\n",
    ").transform_lookup(\n",
    "    lookup='id',\n",
    "    from_=alt.LookupData(corg_join, 'id', ['Country', 'Total Corg']) # add country\n",
    ").encode(\n",
    "    color = alt.Color('Total Corg:Q', scale=alt.Scale(scheme='viridis', type='log')),\n",
    "    tooltip=['Country:N','Total Corg:Q'] # data types might not be necessary\n",
    ").add_params(\n",
    "    selector\n",
    ")\n",
    "\n",
    "choro_corg = (background+foreground).properties(\n",
    "    width=700,\n",
    "    height=400\n",
    ")\n",
    "choro_corg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "ecd1d09e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>id</th>\n",
       "      <th>Year</th>\n",
       "      <th>Born</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>840</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>76</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Russia</td>\n",
       "      <td>643</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Japan</td>\n",
       "      <td>392</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>704</td>\n",
       "      <td>1917-01-01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country   id       Year  Born\n",
       "0  United States  840 1917-01-01     0\n",
       "1         Brazil   76 1917-01-01     0\n",
       "2         Russia  643 1917-01-01     0\n",
       "3          Japan  392 1917-01-01     0\n",
       "4        Vietnam  704 1917-01-01     0"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corg_melt2 = corg_join_small.melt(['Country','id'], \n",
    "                    var_name='Year', value_name='Born')\n",
    "corg_melt2['Year'] = pd.to_datetime(corg_melt2['Year'].astype('int'), format='%Y')\n",
    "corg_melt2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "a63c9c49",
   "metadata": {},
   "outputs": [
    {
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\"id\": 246, \"Year\": \"1917-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Norway\", \"id\": 578, \"Year\": \"1917-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Croatia\", \"id\": 191, \"Year\": \"1917-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"New Zealand\", \"id\": 554, \"Year\": \"1917-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Ireland\", \"id\": 372, \"Year\": \"1917-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Lithuania\", \"id\": 440, \"Year\": \"1917-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Uruguay\", \"id\": 858, \"Year\": \"1917-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Latvia\", \"id\": 428, \"Year\": \"1917-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Slovenia\", \"id\": 705, \"Year\": \"1917-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Estonia\", \"id\": 233, \"Year\": \"1917-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Netherlands\", \"id\": 528, \"Year\": \"1917-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"United States\", \"id\": 840, \"Year\": \"1918-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Brazil\", \"id\": 76, \"Year\": \"1918-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Russia\", \"id\": 643, \"Year\": \"1918-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Japan\", \"id\": 392, \"Year\": \"1918-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Vietnam\", \"id\": 704, \"Year\": \"1918-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Germany\", \"id\": 276, \"Year\": \"1918-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"France\", \"id\": 250, \"Year\": \"1918-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"United Kingdom\", \"id\": 826, \"Year\": \"1918-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Italy\", \"id\": 380, \"Year\": \"1918-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"South Africa\", \"id\": 710, \"Year\": \"1918-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Ukraine\", \"id\": 804, \"Year\": \"1918-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Spain\", \"id\": 724, 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\"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Italy\", \"id\": 380, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"South Africa\", \"id\": 710, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Ukraine\", \"id\": 804, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Spain\", \"id\": 724, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Poland\", \"id\": 616, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Canada\", \"id\": 124, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Romania\", \"id\": 642, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Australia\", \"id\": 36, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Portugal\", \"id\": 620, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Belgium\", \"id\": 56, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Czech Republic\", \"id\": 203, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Hungary\", \"id\": 348, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Belarus\", \"id\": 112, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Sweden\", \"id\": 752, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 1}, {\"Country\": \"Austria\", \"id\": 40, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Switzerland\", \"id\": 756, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Israel\", \"id\": 376, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Serbia\", \"id\": 688, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Denmark\", \"id\": 208, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Finland\", \"id\": 246, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 3}, {\"Country\": \"Norway\", \"id\": 578, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Croatia\", \"id\": 191, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"New Zealand\", \"id\": 554, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Ireland\", \"id\": 372, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Lithuania\", \"id\": 440, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Uruguay\", \"id\": 858, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Latvia\", \"id\": 428, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Slovenia\", \"id\": 705, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Estonia\", \"id\": 233, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Netherlands\", \"id\": 528, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line_corg2 = alt.Chart(corg_melt2).mark_line().encode(\n",
    "    alt.X('Year:T'),\n",
    "    alt.Y('Born:Q', scale=alt.Scale(type='symlog')),\n",
    "    color='Country:O'\n",
    ")\n",
    "line_corg2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "bc4de1cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\"2015\": 301, \"2016\": 229, \"2017\": 213, \"2018\": 198, \"2019\": 118, \"2020\": 2, \"id\": 840, \"Total Corg\": 16130}, {\"Country\": \"Brazil\", \"1917\": 0, \"1918\": 0, \"1919\": 0, \"1920\": 0, \"1921\": 0, \"1922\": 0, \"1923\": 0, \"1924\": 0, \"1925\": 0, \"1926\": 0, \"1927\": 0, \"1928\": 0, \"1929\": 0, \"1930\": 0, \"1931\": 0, \"1932\": 0, \"1933\": 0, \"1934\": 0, \"1935\": 0, \"1936\": 0, \"1937\": 0, \"1938\": 0, \"1939\": 0, \"1940\": 0, \"1941\": 0, \"1942\": 0, \"1943\": 0, \"1944\": 0, \"1945\": 0, \"1946\": 0, \"1947\": 0, \"1948\": 0, \"1949\": 0, \"1950\": 0, \"1951\": 0, \"1952\": 0, \"1953\": 0, \"1954\": 0, \"1955\": 0, \"1956\": 0, \"1957\": 0, \"1958\": 0, \"1959\": 0, \"1960\": 0, \"1961\": 0, \"1962\": 0, \"1963\": 0, \"1964\": 0, \"1965\": 0, \"1966\": 0, \"1967\": 0, \"1968\": 0, \"1969\": 0, \"1970\": 0, \"1971\": 0, \"1972\": 0, \"1973\": 0, \"1974\": 0, \"1975\": 0, \"1976\": 0, \"1977\": 0, \"1978\": 0, \"1979\": 0, \"1980\": 0, \"1981\": 0, 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\"2019-01-01T00:00:00\", \"Born\": 21}, {\"Country\": \"Croatia\", \"id\": 191, \"Year\": \"2019-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"New Zealand\", \"id\": 554, \"Year\": \"2019-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Ireland\", \"id\": 372, \"Year\": \"2019-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Lithuania\", \"id\": 440, \"Year\": \"2019-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Uruguay\", \"id\": 858, \"Year\": \"2019-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Latvia\", \"id\": 428, \"Year\": \"2019-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Slovenia\", \"id\": 705, \"Year\": \"2019-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Estonia\", \"id\": 233, \"Year\": \"2019-01-01T00:00:00\", \"Born\": 16}, {\"Country\": \"Netherlands\", \"id\": 528, \"Year\": \"2019-01-01T00:00:00\", \"Born\": 12}, {\"Country\": \"United States\", \"id\": 840, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 2}, {\"Country\": \"Brazil\", \"id\": 76, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Russia\", \"id\": 643, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 16}, {\"Country\": \"Japan\", \"id\": 392, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Vietnam\", \"id\": 704, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Germany\", \"id\": 276, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"France\", \"id\": 250, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"United Kingdom\", \"id\": 826, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Italy\", \"id\": 380, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"South Africa\", \"id\": 710, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Ukraine\", \"id\": 804, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Spain\", \"id\": 724, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Poland\", \"id\": 616, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Canada\", \"id\": 124, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Romania\", \"id\": 642, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Australia\", \"id\": 36, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Portugal\", \"id\": 620, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Belgium\", \"id\": 56, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Czech Republic\", \"id\": 203, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Hungary\", \"id\": 348, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Belarus\", \"id\": 112, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Sweden\", \"id\": 752, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 1}, {\"Country\": \"Austria\", \"id\": 40, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Switzerland\", \"id\": 756, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Israel\", \"id\": 376, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Serbia\", \"id\": 688, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Denmark\", \"id\": 208, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Finland\", \"id\": 246, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 3}, {\"Country\": \"Norway\", \"id\": 578, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Croatia\", \"id\": 191, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"New Zealand\", \"id\": 554, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Ireland\", \"id\": 372, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Lithuania\", \"id\": 440, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Uruguay\", \"id\": 858, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Latvia\", \"id\": 428, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Slovenia\", \"id\": 705, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Estonia\", \"id\": 233, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}, {\"Country\": \"Netherlands\", \"id\": 528, \"Year\": \"2020-01-01T00:00:00\", \"Born\": 0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.HConcatChart(...)"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selector = alt.selection_point(fields=['id'])\n",
    "\n",
    "foreground = alt.Chart(world).mark_geoshape(\n",
    ").transform_lookup(\n",
    "    lookup='id',\n",
    "    from_=alt.LookupData(corg_join, 'id', ['Country', 'Total Corg']) # add country\n",
    ").encode(\n",
    "    color = alt.Color('Total Corg:Q', scale=alt.Scale(scheme='viridis', type='log')),\n",
    "    tooltip=['Country:N','Total Corg:Q'] # data types might not be necessary\n",
    ").add_params(\n",
    "    selector\n",
    ")\n",
    "\n",
    "#line_corg2 = alt.Chart(corg_melt2).mark_line().encode(\n",
    "line_corg2 = alt.Chart(corg_melt2).mark_bar().encode(\n",
    "    alt.X('Year:T'),\n",
    "    alt.Y('Born:Q', scale=alt.Scale(type='symlog')),\n",
    "    color='Country:O'\n",
    ").transform_filter(\n",
    "    selector\n",
    ").properties(\n",
    "    width=200\n",
    ")\n",
    "\n",
    "choro_corg = (background+foreground).properties(\n",
    "    width=500,\n",
    "    height=400\n",
    ")\n",
    "chart = choro_corg | line_corg2\n",
    "chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d0f4f30a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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    "name": "ipython",
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