{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "respective-store",
   "metadata": {},
   "source": [
    "# In Class Notebook, Week 12"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a597611",
   "metadata": {},
   "source": [
    "You can always access the URL of this notebook: https://github.com/UIUC-iSchool-DataViz/is445_bcubcg_fall2023/blob/master/week12/inClass_week12.ipynb \n",
    "\n",
    "Or post the URL into the nbviewer interface for a plain-text rendering:\n",
    "\n",
    "https://kokes.github.io/nbviewer.js/viewer.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "31be16c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n",
      "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import altair as alt\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "38ade9d3-ca05-42ef-bd99-a7625d330c04",
   "metadata": {},
   "outputs": [],
   "source": [
    "buildings = pd.read_csv('https://github.com/UIUC-iSchool-DataViz/is445_data/raw/main/building_inventory.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b53a39be-7abe-484b-a3ca-9a890527c4bc",
   "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>Agency Name</th>\n",
       "      <th>Location Name</th>\n",
       "      <th>Address</th>\n",
       "      <th>City</th>\n",
       "      <th>Zip code</th>\n",
       "      <th>County</th>\n",
       "      <th>Congress Dist</th>\n",
       "      <th>Congressional Full Name</th>\n",
       "      <th>Rep Dist</th>\n",
       "      <th>Rep Full Name</th>\n",
       "      <th>...</th>\n",
       "      <th>Bldg Status</th>\n",
       "      <th>Year Acquired</th>\n",
       "      <th>Year Constructed</th>\n",
       "      <th>Square Footage</th>\n",
       "      <th>Total Floors</th>\n",
       "      <th>Floors Above Grade</th>\n",
       "      <th>Floors Below Grade</th>\n",
       "      <th>Usage Description</th>\n",
       "      <th>Usage Description 2</th>\n",
       "      <th>Usage Description 3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Department of Natural Resources</td>\n",
       "      <td>Anderson Lake Conservation Area - Fulton County</td>\n",
       "      <td>Anderson Lake C.a.</td>\n",
       "      <td>Astoria</td>\n",
       "      <td>61501</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>17</td>\n",
       "      <td>Cheri Bustos</td>\n",
       "      <td>93</td>\n",
       "      <td>Hammond Norine K.</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>1975</td>\n",
       "      <td>1975</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Not provided</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Department of Natural Resources</td>\n",
       "      <td>Anderson Lake Conservation Area - Fulton County</td>\n",
       "      <td>Anderson Lake C.a.</td>\n",
       "      <td>Astoria</td>\n",
       "      <td>61501</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>17</td>\n",
       "      <td>Cheri Bustos</td>\n",
       "      <td>93</td>\n",
       "      <td>Hammond Norine K.</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Not provided</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Department of Natural Resources</td>\n",
       "      <td>Anderson Lake Conservation Area - Fulton County</td>\n",
       "      <td>Anderson Lake C.a.</td>\n",
       "      <td>Astoria</td>\n",
       "      <td>61501</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>17</td>\n",
       "      <td>Cheri Bustos</td>\n",
       "      <td>93</td>\n",
       "      <td>Hammond Norine K.</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Not provided</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Department of Natural Resources</td>\n",
       "      <td>Anderson Lake Conservation Area - Fulton County</td>\n",
       "      <td>Anderson Lake C.a.</td>\n",
       "      <td>Astoria</td>\n",
       "      <td>61501</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>17</td>\n",
       "      <td>Cheri Bustos</td>\n",
       "      <td>93</td>\n",
       "      <td>Hammond Norine K.</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Not provided</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Department of Natural Resources</td>\n",
       "      <td>Anderson Lake Conservation Area - Fulton County</td>\n",
       "      <td>Anderson Lake C.a.</td>\n",
       "      <td>Astoria</td>\n",
       "      <td>61501</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>17</td>\n",
       "      <td>Cheri Bustos</td>\n",
       "      <td>93</td>\n",
       "      <td>Hammond Norine K.</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Not provided</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Agency Name  \\\n",
       "0  Department of Natural Resources   \n",
       "1  Department of Natural Resources   \n",
       "2  Department of Natural Resources   \n",
       "3  Department of Natural Resources   \n",
       "4  Department of Natural Resources   \n",
       "\n",
       "                                     Location Name             Address  \\\n",
       "0  Anderson Lake Conservation Area - Fulton County  Anderson Lake C.a.   \n",
       "1  Anderson Lake Conservation Area - Fulton County  Anderson Lake C.a.   \n",
       "2  Anderson Lake Conservation Area - Fulton County  Anderson Lake C.a.   \n",
       "3  Anderson Lake Conservation Area - Fulton County  Anderson Lake C.a.   \n",
       "4  Anderson Lake Conservation Area - Fulton County  Anderson Lake C.a.   \n",
       "\n",
       "      City  Zip code  County  Congress Dist Congressional Full Name  Rep Dist  \\\n",
       "0  Astoria     61501  Fulton             17            Cheri Bustos        93   \n",
       "1  Astoria     61501  Fulton             17            Cheri Bustos        93   \n",
       "2  Astoria     61501  Fulton             17            Cheri Bustos        93   \n",
       "3  Astoria     61501  Fulton             17            Cheri Bustos        93   \n",
       "4  Astoria     61501  Fulton             17            Cheri Bustos        93   \n",
       "\n",
       "       Rep Full Name  ...  Bldg Status Year Acquired Year Constructed  \\\n",
       "0  Hammond Norine K.  ...       In Use          1975             1975   \n",
       "1  Hammond Norine K.  ...       In Use          2004             2004   \n",
       "2  Hammond Norine K.  ...       In Use          2004             2004   \n",
       "3  Hammond Norine K.  ...       In Use          2004             2004   \n",
       "4  Hammond Norine K.  ...       In Use          2004             2004   \n",
       "\n",
       "   Square Footage  Total Floors  Floors Above Grade  Floors Below Grade  \\\n",
       "0             144             1                   1                   0   \n",
       "1             144             1                   1                   0   \n",
       "2             144             1                   1                   0   \n",
       "3             144             1                   1                   0   \n",
       "4             144             1                   1                   0   \n",
       "\n",
       "   Usage Description  Usage Description 2 Usage Description 3  \n",
       "0            Unusual              Unusual        Not provided  \n",
       "1            Unusual              Unusual        Not provided  \n",
       "2            Unusual              Unusual        Not provided  \n",
       "3            Unusual              Unusual        Not provided  \n",
       "4            Unusual              Unusual        Not provided  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "buildings.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "469c24ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
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yasxK2bBhQ43ZK1X69OkThx12WHWgEvFBD5YkSeKtt96KYcOG1TimQ4cO0aFDh0atHQAAAACA5m9Aj871bh/YU6BCdjLuqdLY2rdvH6NGjYpZs2aljc+aNStOPvnkWo8ZM2ZMvPPOO7Ft27bqsddffz3atGkThx9+eJPWCwAAAABAyzK4qGuMG1YUeXutjpSXSsW4YUVmqZC1nIUqERHXXHNN/OpXv4p77rknli1bFldffXWsXbs2Lr/88oj4YOmuSZMmVe9/4YUXRs+ePePSSy+NpUuXxrx58+Jf//Vf44tf/GKtS38BAAAAANC6TZs4MsYMLUwbGzO0MKZNHFnHEVC3jJf/agoXXHBBbNy4Mb7//e/HunXrYsSIEfHYY4/FgAEDIiJi3bp1sXbt2ur9u3btGrNmzYorrrgijj/++OjZs2ecf/75ceONN+bqLQAAAAAA0IwVdG4XMyafGKtKymP1xvIY2LOLGSrss1SSJEmuiziQysrKoqCgIEpLSyM/Pz/X5QAAAAAAADmUTW6wz8t/rVixIp544ol47733IiKilWUzAAAAAABAK5N1qLJx48b4xCc+EcOHD49Pf/rTsW7duoiIuOyyy+Laa69t9AIBAAAAAACag6xDlauvvjratm0ba9eujc6dO1ePX3DBBfH44483anEAAAAAAADNRdaN6p988sl44okn4vDDD08bHzZsWKxZs6bRCgMAAAAAAGhOsp6pUl5enjZDpUpJSUl06NChUYoCAAAAAABobrIOVcaNGxczZsyofp1KpWL37t3xk5/8JMaPH9+oxQEAAAAAADQXWS//9ZOf/CROPfXUePHFF2PHjh3x9a9/PV599dXYtGlTzJ8/vylqBAAAAAAAyLmsZ6oceeSR8dJLL8WJJ54Yp59+epSXl8fnPve5WLx4cQwZMqQpagQAAAAAAMi5rGaq7Ny5MyZMmBB33313fO9732uqmgAAAAAAAJqdrGaqtGvXLl555ZVIpVJNVQ8AAAAAAECzlPXyX5MmTYrp06c3RS0AAAAAAADNVtaN6nfs2BG/+tWvYtasWXH88cdHly5d0rbfeuutjVYcAAAAAABAc5F1qPLKK6/EcccdFxERr7/+eto2y4IBAAAAAAAHq6xDldmzZzdFHQAAAAAAAM1a1j1VAAAAAAAAWqOsZ6pERCxYsCAeeuihWLt2bezYsSNt28MPP9wohQEAAAAAADQnWc9UeeCBB2LMmDGxdOnSeOSRR2Lnzp2xdOnSeOqpp6KgoKApagQAAAAAAMi5rEOVH/zgB/HTn/40/vSnP0X79u3jtttui2XLlsX5558f/fv3b4oaAQAAAAAAci7rUOWNN96Iz3zmMxER0aFDhygvL49UKhVXX311/OIXv2j0AgEAAAAAoCVbWbwtZr+2IVaVlOe6FPZT1j1VevToEVu3bo2IiMMOOyxeeeWVOProo2PLli1RUVHR6AUCAAAAAEBLtKViR0yZuSTmLS+uHhs3rCimTRwZBZ3b5bAy9lXWM1XGjh0bs2bNioiI888/P6688sr40pe+FBMnToyPf/zjjV4gAAAAAAC0RFNmLon5K0rSxuavKIkrZi7OUUXsr6xnqtx+++3x/vvvR0TE1KlTo127dvHMM8/E5z73ufj2t7/d6AUCAAAAAEBLs7J4W9oMlSqVSRLzlhfHqpLyGFTYJQeVsT/2afmvKm3atImvf/3r8fWvf71RiwIAAAAAgJZszab622Ws3ihUaYmyDlXWrl1b7/b+/fvvczEAAAAAAHAwGNCjc73bB/YUqLREWYcqAwcOjFQqVef2ysrK/SoIAAAAAABausFFXWPcsKKYv6IkKpOkejwvlYoxQwvNUmmhsg5VFi9Ob6Czc+fOWLx4cdx6663xb//2b41WGAAAAAAAtGTTJo6MK2YuTuutMmZoYUybODKHVbE/UkmyR0S2H/785z/HT37yk5gzZ05jnK7JlJWVRUFBQZSWlkZ+fn6uywEAAAAA4CC3qqQ8Vm8sj4E9u5ih0gxlkxtkPVOlLsOHD48FCxY01ukAAAAAAOCgMKhQmHKwyDpUKSsrS3udJEmsW7cubrjhhhg2bFijFQYAAAAAANCcZB2qdOvWrUaj+iRJol+/fvHAAw80WmEAAAAAAADNSdahyuzZs9Net2nTJoqKimLo0KHRtm2jrSYGAAAAAAAt0sribbFmU4UeKgehrFOQj33sY01RBwAAAAAAtGhbKnbElJlLYt7y4uqx4wd0j0tPHhhHHlYgYDkIZB2q/OEPf8h437PPPjvb0wMAAAAAQLNX22yUKTOXxPwVJWn7vbhmc7y4ZnNERIwbVhTTJo6Mgs7tDni9NI6sQ5Vzzz03UqlUJEmSNr73WCqVisrKyv2vEAAAAAAAGsn+Ls1V22yUccOK4toJw9PGajN/RUlcMXNxzJh8YtbXpXlok+0BTz75ZHzkIx+J//7v/44tW7ZEaWlp/Pd//3ccd9xx8cQTT8Tu3btj9+7dAhUAAAAAAJqNLRU7YtL0F+K0W+bGpfcuiPE3z4lJ01+I0oqdWZ2nttko81eUxLceebnBYyuTJOYtL45VJeVZXZPmI+uZKldddVXcddddccopp1SPffKTn4zOnTvHl7/85Vi2bFmjFggAAAAAAPurrjAkm5kjK4u31TobpTJJ4pV3yjKuZfXG8gZnyWh23zxlHaq88cYbUVBQUGO8oKAgVq9e3Rg1AQAAAABAo6kvDKmaOZJJcLFmU0W920cclh/L3tkalXu1z9jbwJ51X6uu5cX0Ymkesl7+64QTToirrroq1q1bVz22fv36uPbaa+PEE60DBwAAAABA89JQGLJ6Y2bLcQ3o0bne7T/47NExZmhhndvzUqkYN6yo3gCnvhk15F7Woco999wTGzZsiAEDBsTQoUNj6NCh0b9//1i3bl1Mnz69KWoEAAAAAIB91lAYUt/MkT0NLuoa44YVRV4qlTZeFZYcc3i3mDH5xJh93alx+4Uj44SB3dP2GzO0MKZNHFnn+atm1Ow900UvluYj6+W/hg4dGi+99FLMmjUr/v73v0eSJHHkkUfGJz7xiUjtdSMBAAAAAECuVYUh81eUpAUWealUjBlamFXPkmkTR8YVMxenLc+1d1gyqPCDPihnHtM3VpWUx+qN5Rn1RslkRo3+KrmVSpIGFnc7yJSVlUVBQUGUlpZGfn5+rssBAAAAAOAAKK3YWSMM2Z9eJdmEJZlaWbwtTrtlbp3bZ193qlClCWSTG2Q8U+Wvf/1rbNq0Kc4444zqsRkzZsR3v/vdKC8vj3PPPTemTZsWHTp02PfKAQAAAACgCRR0bhczJp/YaGFI1WyUxtSYM2poGhn3VLnhhhvipZdeqn798ssvx+TJk+MTn/hEXH/99fHHP/4xbrrppiYpEgAAAAAA9sXK4m0x+7UN1f1IBhV2ifEf6tVsA4ppE0fWaHbfUC8WDpyMl//q06dP/PGPf4zjjz8+IiK+9a1vxdy5c+OZZ56JiIiHHnoovvvd78bSpUubrtpGYPkvAAAAAICD35aKHTFl5pJGW+7rQGuK5cWoXTa5QcYzVTZv3hy9e/eufj137tz41Kc+Vf36hBNOiDfffHMfygUAAAAAgMY1ZeaSmL+iJG1s/oqSuGLm4hxVlJ3mPqOmtco4VOndu3esWrUqIiJ27NgRixYtitGjR1dv37p1a7Rr1/zTPQAAAAAADm4ri7fFvOXFaX1JIiIqkyTmLS+uXgoMspVxqPKpT30qrr/++nj66adj6tSp0blz5xg7dmz19pdeeimGDBnSJEUCAAAAAECm1myqqHf76o1CFfZNxqHKjTfeGHl5efGxj30sfvnLX8Yvf/nLaN++ffX2e+65JyZMmJB1AXfccUcMGjQoOnbsGKNGjYqnn346o+Pmz58fbdu2jY985CNZXxMAAAAAgIPXgB6d690+sKcltdg3bTPdsaioKJ5++ukoLS2Nrl27Rl5eXtr2hx56KLp27ZrVxR988MG46qqr4o477ogxY8bE3XffHWeccUYsXbo0+vfvX+dxpaWlMWnSpPj4xz8e7777blbXBAAAAADg4Da4qGuMG1YU81eUpC0BlpdKxZihhfqUsM9SSbLXonIH0EknnRTHHXdc3HnnndVjRxxxRJx77rlx00031Xnc5z//+Rg2bFjk5eXFo48+GkuWLMn4mmVlZVFQUBClpaWRn5+/P+UDAAAAANBMlVbsjCtmLo55y4urx8YNK4ppE0dGQWf9wfk/2eQGGc9UaWw7duyIhQsXxvXXX582PmHChHj22WfrPO7ee++NN954I37zm9/EjTfe2NRlAgAAAADQAhV0bhczJp8Yq0rKY/XG8hjYs4sZKuy3nIUqJSUlUVlZGb17904b7927d6xfv77WY5YvXx7XX399PP3009G2bWalb9++PbZv3179uqysbN+LBgAAAACgRRlUKEyh8WTcqL6ppFKptNdJktQYi4iorKyMCy+8ML73ve/F8OHDMz7/TTfdFAUFBdU//fr12++aAQAAAACA1idnoUphYWHk5eXVmJWyYcOGGrNXIiK2bt0aL774Ynzta1+Ltm3bRtu2beP73/9+/O1vf4u2bdvGU089Vet1pk6dGqWlpdU/b775ZpO8HwAAAAAA4OCWs+W/2rdvH6NGjYpZs2bFZz/72erxWbNmxTnnnFNj//z8/Hj55ZfTxu6444546qmn4ne/+10MGjSo1ut06NAhOnTo0LjFAwAAAAAArU7OQpWIiGuuuSYuuuiiOP7442P06NHxi1/8ItauXRuXX355RHwwy+Ttt9+OGTNmRJs2bWLEiBFpx/fq1Ss6duxYYxwAAAAAAKCx5TRUueCCC2Ljxo3x/e9/P9atWxcjRoyIxx57LAYMGBAREevWrYu1a9fmskQAAAAAAICIiEglSZLkuogDqaysLAoKCqK0tDTy8/NzXQ4AAAAAwEFrZfG2WLOpIgb27BKDCrvkuhyoVTa5QU5nqgAAAAAAcPDZUrEjpsxcEvOWF1ePjRtWFNMmjoyCzu1yWBnsnza5LgAAAAAAgIPLlJlLYv6KkrSx+StK4oqZi3NUETQOoQoAAAAAAI1mZfG2mLe8OCr36jxRmSQxb3lxrCopz1FlsP+EKgAAAAAANJo1myrq3b56o1CFlkuoAgAAAABAoxnQo3O92wf21LCelkuoAgAAAABAoxlc1DXGDSuKvFQqbTwvlYpxw4piUGHrDFVWFm+L2a9tsPxZC9c21wUAAAAAAHBwmTZxZFwxc3HMW15cPTZmaGFMmzgyh1U1nZXF22LNpooY2LNLjdBoS8WOmDJzSdrvYtywopg2cWQUdG6X9fnIrVSS7NUt6CBXVlYWBQUFUVpaGvn5+bkuBwAAAADgoLWqpDxWbyxvUeFANoFGJoHJpOkvxPwVJVG5x1fxealUjBlaGDMmn5j1+Wh82eQGQhUAAAAAAFq9fQk0agtM2qQijuybH9MmHhdJksRpt8yt85qzrzs1LbjJJoDZk5kt+yeb3MDyXwAAAAAAtHpTZi6J+StK0sbmryiJK2YurjXQWFm8LS2AqbI7iXjl7bIYf/OcGNG3/i/o//C3t+PsYw+LQYVd6jxfZZLEvOXFsaqkvFGWFmP/aFQPAAAAAECrVhVoVO61sNOegcbe1myqaPC8S98pq3f7T2ctj/E3z4lJ01+IZQ3su3pjzRrqC4JoGmaqAAAAAADQqjUUkKzemD5LZEvFjvj5UysaPO/u//2/bVIfzGCpy/wVJVGxY1e95xrYM32Wyr7MbGH/makCAAAAAECrNqBH53q37x1oTJm5JBav3ZLx+Y9sYBmwyiSJF9dsjhMGdo+8VCptW14qFeOGFdUISDIJgmh8QhUAAAAAAFq1wUVdY9ywoowCjbqWCqtPp3Z5Ge138ckDY8zQwrSxMUMLY9rEkTX2zTYIonFY/gsAAAAAgFZv2sSRccXMxWlLatUWaGTSS6VKXioV+Z3axqI1WzLa/6i+BTFjct9YVVIeqzeWx8CeXepcwqtHl/bRvXO72Fyxc69rRowZWnNmC41DqAIAAAAAQKtX0LldzJh8YoOBRkMzRPZ0ZN9D4uW3629AH/FB+DJmaGH19QYV1h2mVJkyc0mU7hWoRETkd2pX68wWGoflvwAAAAAA4H8NKuwS4z/Uq85Qo66lwmrziSN7Z3TNupb4qkvVEmS7a9m2uWJnbKrYkfG5yI6ZKgAAAAAAkIXalgqrzch+3evdftPnjo6PDu6Z9VJdmTSpt/xX0zBTBQAAAAAAslC1VNjs606NEX3za3zRXtXgftzwolpntVRtn3hi/6zDjy0VO+KO2Svq3UeT+qYjVAEAAAAAoNVZWbwtZr+2IVaVlO/zOQYVdon7L/tonDKsKG18z+W8rp0wPI7oc0ja9pH9u8UFxx++T9eeMnNJnY3vq8Ias1SajuW/AAAAAABoNbZU7IgpM5ekLd01blhRTJs4Mgo6t8v6fHU1uN9SsSMmTX8h7Tof7nNIdGqXFy+u2Rwvrtmc9bWreqnU5bj+3TSpb2JmqgAAAAAA0GpMmbkk5q8oSRubv6Ikrpi5eL/Ou3eD+9qu8/d1W2Px2i37fO2Geql85bSh+xQMkTmhCgAAAAAArULVTI/KJEkbr0ySmLe8eL+WAsvkOrXJ5toDenSud7teKk1PqAIAAAAAQKvQ0EyP1RsbJ1Rp6Dr7eu3BRV3rbXyvl0rTE6oAAAAAANDiZdJ4/kDN9GjoOvtz7WkTR8aYoYVpY2OGFuqlcoBoVA8AAAAAQIuVTeP5qpke81eUpC3NlZdKxZihhRnN9FhZvC3WbKqobkhfm6rrPLOiOHY3sAJYNteOiCjo3C5mTD4xVpWUx+qN5fXWQeMTqgAAAAAA0GLV13h+xuQTa+w/beLIuGLm4rQQJpOZHtmEN397c3MUb32/RqCS37FtlL2/K23spME99mmWyaBCYUouCFUAAAAAAGiRqhrC723P5u97Bw/7OtMjk/CmtuBlT3sHKm0iom2bNjVCGZovPVUAAAAAAGiR9qfx/KDCLjH+Q70yXvJr3vLitCXDItLDm4gPgpdnVtQeqNRmd0Ta8TR/ZqoAAAAAANAiHajG85mEN8n/Biz7YvXGmjNqaJ7MVAEAAAAAoEWqagifl0qljeelUjFuWFGjBRWZhDcNBS8NHU/LIFQBAAAAAKDFmjZxZIwZWpg2lknj+Wz06NI+utfS9yQvFdXhTUPBS22qwp8kSWL2axssA9YCWP4LAAAAAIBarSzeFms2VWTczD0X9rXx/N7qe69TZi6J0oqdNY7J79Ruv8Kbkwb3iJ2Vu+O0W+ZWj40bVhTTJo7UvL6ZEqoAAAAAAJBmS8WOmDJzSVqPkOb+Zf+gwn0LUxp6r1VN6muzuWJnbKrYEQWd28Wr68oyvubVpw+Ls489LL77X6/G/BUladvmryiJK2YujhmTT8z6vdD0LP8FAAAAAECaKTOX1Pll/8GmofeaSZP6LRU74lsPv5zxNc8+9rDqxvaVSZK2rfJ/xy0F1jwJVQAAAAAAqFY1M6M1fNmfyXttqFdK2zap+NKMF6Ps/V0ZXbOqB0smYU2mVhZv05PlALH8FwAAAAAA1TL5sr+59lfJVibvdfyHesW4YUUxf0VJjfAlIuKi6S9kfL2R/bpV92BpKKwZ2LPm73jvvi8tcZm2lk6oAgAAAABAtX35sr+lyvS9Tps4Mq6YubjO3iqZWvzmlrhi5uKYNnFkDC7qWmtYk5dKxZihhWnBVV3hyc7K3fHCqk1p19CTpWlZ/gsAAAAAgGpVX/bnpVJp43mpVPXSVQeLTN9rQed2MWPyiTHji/sfVOzZr2XaxJExZmhh2vYxQwurZ7NUqa3vyzMriuO5lRtbxTJtzYmZKgAAAAAApKltZkZtX/YfDLJ5r7Ut/5WtqtDjgRfWxkmDe8aMySfGqpLyWL2xvHpZrz1V9X3Z2+4GSlm9sTySJElbLoz9l0qSRrgLWpCysrIoKCiI0tLSyM/Pz3U5AAAAAADNVn1f9h9sMnmvK4u3xWm3zM3ofMN6dY3lG7Y1uF99PVBWFm+LP770Tvx01vKMrrmnEwZ2jwWrN2d0ndYum9xAqAIAAAAAAP9r72bwe5s0/YU6+6B875yjYvXG8ujRuV1869FX4pW3yxq8XtWxe/ZAqa2HSl3aRMTuvc6X36ltlL23q9Ya9VqpKZvcwPJfAAAAAAC0enU1g997dkd9y4UVdG4X3Tu3i/E3z4nNFTszuu6ePVCqQpzaeqjUZdSA7rFgzf/NSBnZv1u8uMfr+q5D9oQqVGsogQUAAAAAOFjVFmRUNZXfc3ZHVdP6upYLu+zXL2YcqOzp+ZUbY1Bhlzp7qNTlK6cNjYE9u1TXsnpjeVx674I691+9UaiyP4QqZJzAAgAAAADkQlP/QXhdQUZ9szsGFdbeVL62WSKZmPrwy/HfL6+P8084PKvjqn4nVbU01PFjYE+Byv4QqpBxAgsAAAAAcCAdqD8IX7Opot7tmc7uaOg8DZm/oiTe27kro32reqTsXdfgoq4xblhRnX1fzFLZP21yXQC5VZXAVu6VXu6ZwAIAAAAA5EJ9fxDemAb06Fzv9kxndzR0noZUJkksWJ3ZTJeqPi61mTZxZIwZWpjx/mTOTJVWrrESWAAAAACAxrQvS3LVd676lg9rrNkdVed5Znlx7K5jn+6d28WXxg6OHz/xWkbn3NvVpw+Ls489rNaa9nyf9fV9Yd/lfKbKHXfcEYMGDYqOHTvGqFGj4umnn65z34cffjhOP/30KCoqivz8/Bg9enQ88cQTB7Dag09jJbAAAAAAAI0pkz8Ib8iWih0xafoLcdotc+PSexfE+JvnxKTpL0RpLY3kG2t2x7UThseRffPTxob37hL/curg+I/JJ8bi70yIT404NKtz7qm2QKWu99mjc/sY/6FeApVGlNOZKg8++GBcddVVcccdd8SYMWPi7rvvjjPOOCOWLl0a/fv3r7H/vHnz4vTTT48f/OAH0a1bt7j33nvjrLPOir/+9a8xcqRpS/vC+noAAAAAQHPUGH8Qnk0/6YLO7fZrdkdt/V9GHJYfP/js0XHM4d1q7H9En0Ni2bqtNcZPHtIz2rZpk9V3tvpmHzipJNmrmcYBdNJJJ8Vxxx0Xd955Z/XYEUccEeeee27cdNNNGZ3jqKOOigsuuCC+853vZLR/WVlZFBQURGlpaeTn5zd8QCtQWrEzrpi5uMmbPQEAAAAAZGPS9BfqDBcaCgtWFm+L026ZW+f22ded2mh/VL6yeFtMeWBxLH2nLHbv8Y17m1TEKUOLqmutLXjZ2+jBPeOufxqV8Xe2B/J9HqyyyQ1yNlNlx44dsXDhwrj++uvTxidMmBDPPvtsRufYvXt3bN26NXr06FHnPtu3b4/t27dXvy4rK9u3gg9i+5vAAgAAAAA0hWkTR9YIFzJdkquh5cOeX7lxv78P3VKxIy779Yvx4pram8vvTiLmLS+Ol97cEsf061brjJK9PbdyY2yq2JHxd7b6Zh9YOQtVSkpKorKyMnr37p023rt371i/fn1G57jllluivLw8zj///Dr3uemmm+J73/veftXaWuRw0hIAAAAAQA378wfhDTUUn/rwy9X/ncnKPXs3u99SsSPG3zwnNtfSn2Vv33zk5fj3iSPrnaGyp6ogpOqnPvpmH1g57akSEZFKpdJeJ0lSY6w2M2fOjBtuuCH+67/+K3r16lXnflOnTo1rrrmm+nVZWVn069dv3ws+CNU25czyXwAAAABAc5FJuLC33VnsW1//kbq+P936/o6MApWIiFfeKYsv3vdCxvVkEoRUhTx5GXyfvncgxL7LWahSWFgYeXl5NWalbNiwocbslb09+OCDMXny5HjooYfiE5/4RL37dujQITp06LDf9R7MNDECAAAAAA42Dc3g2FNlksS85cWxqqTmUlm1fX/69PLiyHbdn9Ub32twn/qa0VfJpC/Lnq6YuSheefv/2mL4g/r909AMqCbTvn37GDVqVMyaNSttfNasWXHyySfXedzMmTPjkksuid/+9rfxmc98pqnLPOitLN4W85YXpzV6ikh/iAAAAAAAtDSDi7rGuGFFGc3kqLJ6Y/r3oXV9f9pUjRQy6ReTSV+WPS19J73PeNUf1LNvcrr81zXXXBMXXXRRHH/88TF69Oj4xS9+EWvXro3LL788Ij5Yuuvtt9+OGTNmRMQHgcqkSZPitttui49+9KPVs1w6deoUBQUFOXsfLZkmRgAAAADAwaq2Rvf1adsmPYBp6PvTxjCgR+f49DGHxslDCmPssKK0bXsv21UV8mRj914JUH2zcmhYTkOVCy64IDZu3Bjf//73Y926dTFixIh47LHHYsCAARERsW7duli7dm31/nfffXfs2rUrvvrVr8ZXv/rV6vGLL7447rvvvgNd/kGhoalKez9EAAAAAABair0b3a8vfT+tQf3edu2VQGSzhNi+WrOpIu6cszLunLOyemmuJJJa+7icf8LhjXZdf1C/b3LeqP4rX/lKfOUrX6l1295ByZw5c5q+oFamoWZNez9EAAAAAACak0yasFc1ul9ZvK3ec+3dIL5qCbH5K0pqLAHWFPZcmqu2Ptjv7dzVaNfa+72SmZyHKuRWQ0mrf1gAAAAAQHNUW8P2hpqw1xWS1NcgPtslxPZH1dJcdW1bsHpznDCgeyxauyWjkOeEgd1j0ZotGb9XGpazRvU0D3U1a8pLpWLcsCL/sAAAAACAZqm2hu2ZNGGfNnFkjBlamDZWX4P4qiXEZl93aow4LD9y3THhkpMH1qi/NiP65sevJp2Q1XulYWaqUGvS6h8WAAAAANBc1dWwPZMm7Hv3Walv2bA9JUkSr7xdtt+176+KnZUxY/KJMe/14ph0zwt17veDzx69z++VuglV8A8LAAAAAGhR1myqqHd7XU3Y9+6/kun3oGs2lsfZtz+zT7VmIy+VisO7d4w1m96rc593Sj/YNqBn52jbJlWjL3YqIsYOK4pj+nWrHsvmvVI/oQrV/MMCAAAAAFqCbHtF70v/lT2d+/P5sW175b4Vm4XBRV3iCyf1jxv+uLTOfY7r3z0iIs65fX6NQCUiIq9NKq6dMDxmv7bBH9A3AT1VAAAAAABoUerqFV3lu//1apRW7Kx+va/9VyIi5r62ITbvca6mtHzDtrjhj0ujbR2NW7p3bhdjhxXF3Nc2xJb3aq9p1+4kzvn5/Lj03gUx/uY5MWn6C2m/C/aPUAUAAAAAgBbn2gnD44g+h9S6bc/ApKr/SmWSPqtjz/4r9Vny1pZGqTcbtc1AadsmFT/63NEx+7UN8V9L3s74XJmGR2TG8l8AAAAAALQYtS3ltbc9A5NX19XfXL6u/itVPnJ4t30ttVHt2p3El3+zKOvj9vxdWAps/wlVAAAAAABodvZuKl+ltqW86rJ6Y3nMeHZ1vftU9V+Z+9qGWPLWluhT0DGKDulYfd2PfahX5HdsG2Xv79rn99IcNBQekRmhCgAAAAAAzUZ9TeWXvLm53hkqe8tLpWLB6s11bv9Iv27RJhUx8vtP1to3peq6f75ibIy/ZU6ty3JVOaRD29i6vfkGLz27tM91CQcFPVUAAAAAAGg2am8qXxyn3jw7Lr53QUbnyEulYtywohp9VPa2fWdlnH37M3U2oq/qR9KvZ+dY+P9Oj6P75qdtP2Fg97j9wpFxwsDuzTpQiYi4+YnXc13CQcFMFQAAAAAAmoWqpvJ7q0yizuCjNmOGFsa0iSNjY/n2evdbtn5rvdv37EeSJElc88kPRds2qdi1O4m81Ad1vbejst7ZMPuioFO72PreztjdiOfUV6VxCFUAAAAAAA5idfUmaY7WbKrYp+PyUqk4rn+3+MppQ9PeZ0HndjHisPx45e36m9U35IrfLopX3vm/c3Tv3C6rkCcTndq1ie+edVScNLhn9OjcPq6YuTirpc4y8eo7pc3+HmjuhCoAAAAAAAeh+nqTFHRul8PK6jagR+d9Oq5qZkpt7+vfzh0R5/z82f2qa+k76aFMYwcqeamIJ6/6WPTr+cH7/9ubm2PD1vcb9RoREb9+dnWceUzfRj9va6KnCgAAAADAQaj23iQf9AhprgYXdY1xw4oiL5XK+Jj/mHxizJh8Yp1B0bH9use4YUU1vgzPS6Xi+AHd6z13VRWNuQxXbSqTiF1JElsqdsSk6S/EOT9/Nv7ewNJk+2LB6s2xqqS80c/bmghVAAAAAAAOMlW9SfZu1L5nj5DmZmXxtpj92oa47pPDY8zQwrRt3Tu3qzUUGTesKMYOK2rw3NMmjoxT9tpvzNDCmH7xCZHfse4FnY46LL/ObY1t9cbymDJzSTyzonGX/KrtOuw7y38BAAAAABxkGupNsnpj82lYXtsyZSP65sddXzguOrTPi7xURNn7u+LXz65OawhfteRXJgo6t4sZk0+MVSXl8fzKjZGKiJMG94yN5duj7P1ddR731VOHxL/cf2Bm9uSlUo3eQ6U2A3s2j//dWyqhCgAAAADAQaah3iTN6Yv12pYpe+Wdsrj8/kU1GsKfMKB7XHLywDikU9uoTCI2VezIuD/Mlood8d3/erVGeFOfn89+I04e0jOefWNjFu8oeycM7F5jVlFja5OKOGVoUbMJ01oqoQoAAAAAwEGmqjfJ/BUlaV/W56VSMWZoYbP5Yr1qmbK67N0QfuGazbGieFt60DKwe1x88sA4qm9B2vtaWbwt1myqiLzUBz1L7nhqRSxauyXtfK/u1YB+b6+8UxZHNxC87K9URPxq0gmx5M3NDe67P3YnEWXv74zSip0ZB1HUlEqSJo6/mpmysrIoKCiI0tLSyM8/cOvhAQAAAAAcSKUVO+OKmYvTQotxw4pi2sSRzeZL9dmvbYhL713QaOcbN6wobjx3RPy/R185IEtpNZajD8uPl9+uP+BpLN07t4s5141vNvdAc5BNbiBUoVpVcjuwZ5dmk1QDAAAAAPtnVUl5rN5Y3iy/91tZvC1Ou2Vuo50vL5WK/E5to+y9XU2+nFZLdsLA7vHQ5SfnuoxmI5vcwPJf1NoIqrkl1gAAAADAvhlU2PzClCpVy5Q9s7w4djfC+SqTpMaSYdS0YPXmWFVS3mzvi+asTa4LIPdqawQ1f0VJXDFzcY4qAgAAAABag5XF2+L8Ew6PUQO757qUVmf1xvJcl9AimanSytXVCKoySWLe8mJpJQAAAADQ6GpbPWd4ry7x+gZf9B8oA3v63ndfmKnSyq3ZVFHvdmklAAAAANDYals9pzEClbxUKrp3bhd5qVSt2+sYbnVOGNDdH9PvI6FKKzegR+d6t0srAQAAAIDGVLV6zv42kv/XCcMjv2P6Ykyd2reJH593TIwZWljrMXrXf+CSkwfmuoQWS6jSylU1gto7uc1LpWLcsCJpJQAAAADQqBpaPSdT//3K+ijfXpk2tm17ZXzpPxZGRMSdXxgZV58+LIb37uKL8L0ceVhBrktosfRUIaZNHBlXzFyctn7hmKGFMW3iyBxWBQAAAAA0d3Nf2xBL3toSx/XvHmOHFWV0TEOr52TqlXfK6tw2b3lxrb2kiRjQs7M/pt8PQhWioHO7mDH5xFhVUh6rN5bHwJ5d/KMCAAAAAOq0ZmN5nPvz+bG5Ymf1WPfO7eIPXz0l+vWsPzSpWj1n/oqS/V4CjOxNPePDuS6hRTPriWqDCrvE+A/1EqgAAAAAAPU65/b0QCUiYnPFzjjr9mcyOv7Gc0dEfqf0v/nv2iGv0eqjdt07t4tPjeiT6zJaNKEKAAAAAACxsnhbzH5tQ6wqKa93v7mvbYgt7+2sdduW93bG0xksu/X/Hn0lyt7blTZWsVd/FBpX1w558YevnpLrMlo8y38BAAAAALRiWyp2xJSZS9J6kIwbVhTTJo6Mgs7tauw/+7UN9Z7vqWUbau2vsrJ4W6zZVBF5qVSt/U5270PtZO63X/pog0uz0TChCgAAAABAKzZl5pKYv6IkbWz+ipK4YubimDH5xBr79+jSod7z9ejaPu11baENB94//eqv8fTXT6s1KCNzlv8CAAAAAGilVhZvi3nLi2s0jK9Mkpi3vLjWpcDOPKb+nhxnHtM37XVtoQ0HXtn7u+KyXy/IdRktnlAFAAAAAKCVWrOpot7tqzeW1+i1Mrioa5wwoHut+58woHsMKuxS/bqu0IbcWLBmc4M9c6if5b+oVrWm4cCeXdIefAAAAADAwWlAj/p7bNzx1IpYsGZz9euqXiu/uviEuGLm4lr7sOypodCGA2/1xnLf/+4HoQpZN6ICAAAAAA4Og4u6xrhhRTF/RUnabJK8VCryO7WNRWu3pO2/Z6+VGZNPjFUl5bF6Y3mdf6jdUGjDgTewp0Blf1j+i3obUQEAAAAAB7dpE0fGmKGFaWPHDegWmyt2NthrZVBhlxj/oV51znyoCm3IvTbxwR/Tm6Wyf8xUaeWq1jTc254PR//IAAAAAODgVdC5XY1ZJ6s3lsel99bd1DybJaT+edzgWr+D5MDq2rFt/Nu5I3JdRotnpkorl0kjKgAAAADg4LfnrJOGlu3KdAmpLRU74sv/8WJjlMd+Knt/V1z70JJcl9HiCVVaucZ6OAIAAAAAB4+qZbvyUqm08bxUKqslpL4048Uo31HZFCWyD15YvTleenNLrsto0YQqrdyCVZvq3f7i6vq3AwAAAAAt08ribTH7tQ3V/VH2VluvlTFDC+PaCcPqPW7P8y9YvbnR6qVxfOX+RbkuoUXTU6WVm7Xs3Xq3P/Hq+vjH4/sdoGoAAAAAgKa2pWJHTJm5JK3PybhhRTFt4sgo6NyuemzvXis9OreLW55cHuf8/Nl6j/u/ayxu+jdD1t7a8p5e2vvBTJVWrl/3+pf/amh5MAAAAACgZZkyc0nMX1GSNjZ/RUlcUUcIUtVr5f/707J4eq+G888sL47Lfp3e0H5l8bb4p1/9NV59p6xxC6fRPL9yY65LaLGEKq3cRaMH1Lv9n0YPPDCFAAAAAABNbmXxtpi3vDgqkyRtvDJJYt7y4lhVUl5jWbAtFTvisz+fHy+u2RzJXufbHREL1myOCT+dE2s3VsSk6S/EabfMjVfeKauxL81HquFdqIPlv1q5NzdV1Lv9rc0VpoEBAAAAwEFgS8WO+Opv6++nccVvF8Ure8wwGTesKIq3vh/L1m+t97jX3y2PcT+Z7cv6FuL+v66JM0b0qbFsGw0zU6WVW/LWlnq3L1qrkRQAAAAAHEi1NZBvqKl8JqbMXBLL1tUfjryy15Jd85YXNxio7MnslJbh5bfL4vLfLMx1GS1Szmeq3HHHHfGTn/wk1q1bF0cddVT87Gc/i7Fjx9a5/9y5c+Oaa66JV199Nfr27Rtf//rX4/LLLz+AFR9cSst31rt963u7DlAlAAAAAJA7K4u3xZpNFTGwZ5ecrdxSWwP5k4f0jCSJeG6PHhh1NYevT9WyX1DluZUbNazfBzmdqfLggw/GVVddFd/61rdi8eLFMXbs2DjjjDNi7dq1te6/atWq+PSnPx1jx46NxYsXxze/+c2YMmVK/P73vz/AlR885ry+od7ts/9e/3YAAAAAaMm2VOyo7gNy6b0LYvzNc2LS9BeitKL+P0ZuCv/ym0U1go9n39iYFqhEfDB7ZO/m8A1Z00AbAFqnx15al+sSWpychiq33nprTJ48OS677LI44ogj4mc/+1n069cv7rzzzlr3v+uuu6J///7xs5/9LI444oi47LLL4otf/GLcfPPNB7jyg8fKkvofpm/sx3RCAAAAAGjupsxcEvNXlKSNzV9RElfMXHxA61hZvK1GeFKfBWs2Z7UU2IAenfelLA5yP5+zItcltDg5C1V27NgRCxcujAkTJqSNT5gwIZ599tlaj3nuuedq7P/JT34yXnzxxdi5s/bkePv27VFWVpb2AwAAAABQtSRWZZLeCaQySWLe8uL96l+Srb+u2pT1MX966Z2M9x1c1DVOGNg962twcKvYURlPWxYuKzkLVUpKSqKysjJ69+6dNt67d+9Yv359rcesX7++1v137doVJSUltR5z0003RUFBQfVPv379GucNAAAAAAAtWkNLYq3eeCBXccm+xfumbTuy2v/ikwdmfQ0OfovWbs51CS1KTpf/iohIpVJpr5MkqTHW0P61jVeZOnVqlJaWVv+8+eab+1kxAAAAAHAwaGhJrIE9D1wD75MG9cz6mNOO6JXV/kf2yc/6Ghz8jutvBlM2chaqFBYWRl5eXo1ZKRs2bKgxG6XKoYceWuv+bdu2jZ49a3/odOjQIfLz89N++D+rf/iZ/doOAAAAAC3V4KKuMW5YUeTt9QfbealUjBtWFIMKD1yoMrioa5w8JPNgpVundjF2WFHW1xiX5TEc3Lp3zv4+au1yFqq0b98+Ro0aFbNmzUobnzVrVpx88sm1HjN69Oga+z/55JNx/PHHR7t27ZqsVgAAAADg4DRt4sgYM7QwbWzM0MKYNnHkAa/lzi+MqhF6nDiwexR0Sv/us3vndvHHr52yT9eYNnFkHNnnkDq3172GEAeb/I5t4w9f3bf7qDVLJUmS/WJ9jeTBBx+Miy66KO66664YPXp0/OIXv4hf/vKX8eqrr8aAAQNi6tSp8fbbb8eMGTMiImLVqlUxYsSI+Od//uf40pe+FM8991xcfvnlMXPmzDjvvPMyumZZWVkUFBREaWmpWSt7GXj9n6v/2wwVAAAAAFqTVSXlsXpjeQzs2eWAzlDJtJanlxfHorWb47j+3RtlZsGqkvL44WPLYvmGrTFqQI/49DF9qq/39PLieGTR2xER8dnjDov1pe/Hk6+uj349OsdFowfGf7+8Lp5eXlxdR9V/f2X80IiIuGP2inh6eXEUdGoXu3YnMaBH5/in0QMj4oM+NW3bpGLO3zfE7NeKIxVJnDeqXxQd0iGefHV9pFKpOKxbpzjtiF4xdlhRrCopj3OmPR1l2ysjFRFDi7pEXl4qThlaFF/46IC47j+XxOvvbo3+/3uNzeU7YtHazdGtU7v480vvxHu7/u/r7y7t2sSOyt2xc/d+//papHapiEO7dYoj+hwSF40eaIbKHrLJDXIaqkRE3HHHHfHjH/841q1bFyNGjIif/vSnMW7cuIiIuOSSS2L16tUxZ86c6v3nzp0bV199dbz66qvRt2/f+MY3vhGXX355xtcTqgAAAAAAAFVaVKhyoAlVAAAAAACAKtnkBjnrqQIAAAAAANCSCFUAAAAAAAAyIFQBAAAAAADIgFAFAAAAAAAgA0IVAAAAAACADAhVAAAAAAAAMiBUAQAAAAAAyIBQBQAAAAAAIANCFQAAAAAAgAwIVQAAAAAAADLQNtcFHGhJkkRERFlZWY4rAQAAAAAAcq0qL6jKD+rT6kKVrVu3RkREv379clwJAAAAAADQXGzdujUKCgrq3SeVZBK9HER2794d77zzThxyyCGRSqVyXU6zUlZWFv369Ys333wz8vPzc10OZMR9S0vl3qUlct/SUrl3aYnct7RU7l1aIvctLZV7t/EkSRJbt26Nvn37Rps29XdNaXUzVdq0aROHH354rsto1vLz8/0jpMVx39JSuXdpidy3tFTuXVoi9y0tlXuXlsh9S0vl3m0cDc1QqaJRPQAAAAAAQAaEKgAAAAAAABkQqlCtQ4cO8d3vfjc6dOiQ61IgY+5bWir3Li2R+5aWyr1LS+S+paVy79ISuW9pqdy7udHqGtUDAAAAAADsCzNVAAAAAAAAMiBUAQAAAAAAyIBQBQAAAAAAIANCFQAAAAAAgAwIVYiIiDvuuCMGDRoUHTt2jFGjRsXTTz+d65JoxW666aY44YQT4pBDDolevXrFueeeG6+99lraPpdcckmkUqm0n49+9KNp+2zfvj2uuOKKKCwsjC5dusTZZ58db7311oF8K7QyN9xwQ4378tBDD63eniRJ3HDDDdG3b9/o1KlTnHrqqfHqq6+mncN9y4E2cODAGvdtKpWKr371qxHheUvzMW/evDjrrLOib9++kUql4tFHH03b3ljP2M2bN8dFF10UBQUFUVBQEBdddFFs2bKlid8dB6v67tudO3fGN77xjTj66KOjS5cu0bdv35g0aVK88847aec49dRTazyHP//5z6ft476lsTX0zG2szwfuXRpTQ/dtbZ95U6lU/OQnP6nexzOXAy2T78B8zm1+hCrEgw8+GFdddVV861vfisWLF8fYsWPjjDPOiLVr1+a6NFqpuXPnxle/+tV4/vnnY9asWbFr166YMGFClJeXp+33qU99KtatW1f989hjj6Vtv+qqq+KRRx6JBx54IJ555pnYtm1bnHnmmVFZWXkg3w6tzFFHHZV2X7788svV23784x/HrbfeGrfffnssWLAgDj300Dj99NNj69at1fu4bznQFixYkHbPzpo1KyIi/vEf/7F6H89bmoPy8vI49thj4/bbb691e2M9Yy+88MJYsmRJPP744/H444/HkiVL4qKLLmry98fBqb77tqKiIhYtWhTf/va3Y9GiRfHwww/H66+/HmeffXaNfb/0pS+lPYfvvvvutO3uWxpbQ8/ciMb5fODepTE1dN/ueb+uW7cu7rnnnkilUnHeeeel7eeZy4GUyXdgPuc2Qwmt3oknnphcfvnlaWMf/vCHk+uvvz5HFUG6DRs2JBGRzJ07t3rs4osvTs4555w6j9myZUvSrl275IEHHqgee/vtt5M2bdokjz/+eFOWSyv23e9+Nzn22GNr3bZ79+7k0EMPTX74wx9Wj73//vtJQUFBctdddyVJ4r6lebjyyiuTIUOGJLt3706SxPOW5ikikkceeaT6dWM9Y5cuXZpERPL8889X7/Pcc88lEZH8/e9/b+J3xcFu7/u2Ni+88EISEcmaNWuqxz72sY8lV155ZZ3HuG9parXdu43x+cC9S1PK5Jl7zjnnJKeddlramGcuubb3d2A+5zZPZqq0cjt27IiFCxfGhAkT0sYnTJgQzz77bI6qgnSlpaUREdGjR4+08Tlz5kSvXr1i+PDh8aUvfSk2bNhQvW3hwoWxc+fOtHu7b9++MWLECPc2TWr58uXRt2/fGDRoUHz+85+PlStXRkTEqlWrYv369Wn3ZIcOHeJjH/tY9T3pviXXduzYEb/5zW/ii1/8YqRSqepxz1uau8Z6xj733HNRUFAQJ510UvU+H/3oR6OgoMD9zAFRWloaqVQqunXrljZ+//33R2FhYRx11FFx3XXXpf1lqvuWXNnfzwfuXXLp3XffjT//+c8xefLkGts8c8mlvb8D8zm3eWqb6wLIrZKSkqisrIzevXunjffu3TvWr1+fo6rg/yRJEtdcc02ccsopMWLEiOrxM844I/7xH/8xBgwYEKtWrYpvf/vbcdppp8XChQujQ4cOsX79+mjfvn1079497XzubZrSSSedFDNmzIjhw4fHu+++GzfeeGOcfPLJ8eqrr1bfd7U9b9esWRMR4b4l5x599NHYsmVLXHLJJdVjnre0BI31jF2/fn306tWrxvl79erlfqbJvf/++3H99dfHhRdeGPn5+dXjX/jCF2LQoEFx6KGHxiuvvBJTp06Nv/3tb9XLNbpvyYXG+Hzg3iWXfv3rX8chhxwSn/vc59LGPXPJpdq+A/M5t3kSqhARkfbXqBEf/CPeewxy4Wtf+1q89NJL8cwzz6SNX3DBBdX/PWLEiDj++ONjwIAB8ec//7nGh6I9ubdpSmeccUb1fx999NExevToGDJkSPz617+ubty5L89b9y0HyvTp0+OMM86Ivn37Vo953tKSNMYztrb93c80tZ07d8bnP//52L17d9xxxx1p2770pS9V//eIESNi2LBhcfzxx8eiRYviuOOOiwj3LQdeY30+cO+SK/fcc0984QtfiI4dO6aNe+aSS3V9Bxbhc25zY/mvVq6wsDDy8vJqJJIbNmyokYDCgXbFFVfEH/7wh5g9e3Ycfvjh9e7bp0+fGDBgQCxfvjwiIg499NDYsWNHbN68OW0/9zYHUpcuXeLoo4+O5cuXx6GHHhoRUe/z1n1LLq1Zsyb+53/+Jy677LJ69/O8pTlqrGfsoYceGu+++26N8xcXF7ufaTI7d+6M888/P1atWhWzZs1Km6VSm+OOOy7atWuX9hx235Jr+/L5wL1Lrjz99NPx2muvNfi5N8IzlwOnru/AfM5tnoQqrVz79u1j1KhR1dMYq8yaNStOPvnkHFVFa5ckSXzta1+Lhx9+OJ566qkYNGhQg8ds3Lgx3nzzzejTp09ERIwaNSratWuXdm+vW7cuXnnlFfc2B8z27dtj2bJl0adPn+op5Hvekzt27Ii5c+dW35PuW3Lp3nvvjV69esVnPvOZevfzvKU5aqxn7OjRo6O0tDReeOGF6n3++te/RmlpqfuZJlEVqCxfvjz+53/+J3r27NngMa+++mrs3Lmz+jnsvqU52JfPB+5dcmX69OkxatSoOPbYYxvc1zOXptbQd2A+5zZTjdz4nhbogQceSNq1a5dMnz49Wbp0aXLVVVclXbp0SVavXp3r0mil/uVf/iUpKChI5syZk6xbt676p6KiIkmSJNm6dWty7bXXJs8++2yyatWqZPbs2cno0aOTww47LCkrK6s+z+WXX54cfvjhyf/8z/8kixYtSk477bTk2GOPTXbt2pWrt8ZB7tprr03mzJmTrFy5Mnn++eeTM888MznkkEOqn6c//OEPk4KCguThhx9OXn755WTixIlJnz593LfkXGVlZdK/f//kG9/4Rtq45y3NydatW5PFixcnixcvTiIiufXWW5PFixcna9asSZKk8Z6xn/rUp5Jjjjkmee6555LnnnsuOfroo5MzzzzzgL9fDg713bc7d+5Mzj777OTwww9PlixZkva5d/v27UmSJMmKFSuS733ve8mCBQuSVatWJX/+85+TD3/4w8nIkSPdtzSp+u7dxvx84N6lMTX0WSFJkqS0tDTp3Llzcuedd9Y43jOXXGjoO7Ak8Tm3ORKqkCRJkvz85z9PBgwYkLRv3z457rjjkrlz5+a6JFqxiKj15957702SJEkqKiqSCRMmJEVFRUm7du2S/v37JxdffHGydu3atPO89957yde+9rWkR48eSadOnZIzzzyzxj7QmC644IKkT58+Sbt27ZK+ffsmn/vc55JXX321evvu3buT7373u8mhhx6adOjQIRk3blzy8ssvp53DfUsuPPHEE0lEJK+99lrauOctzcns2bNr/Xxw8cUXJ0nSeM/YjRs3Jl/4wheSQw45JDnkkEOSL3zhC8nmzZsP0LvkYFPffbtq1ao6P/fOnj07SZIkWbt2bTJu3LikR48eSfv27ZMhQ4YkU6ZMSTZu3Jh2Hfctja2+e7cxPx+4d2lMDX1WSJIkufvuu5NOnTolW7ZsqXG8Zy650NB3YEnic25zlEqSJGmiSTAAAAAAAAAHDT1VAAAAAAAAMiBUAQAAAAAAyIBQBQAAAAAAIANCFQAAAAAAgAwIVQAAAAAAADIgVAEAAAAAAMiAUAUAAAAAACADQhUAAIBGdsMNN8RHPvKRJjn3JZdcEueee26TnBsAAKifUAUAANgvSZLEJz7xifjkJz9ZY9sdd9wRBQUFsXbt2gNa0w9+8IPIy8uLH/7whwf0ulWuu+66+Mtf/pKTawMAAE1HqAIAAOyXVCoV9957b/z1r3+Nu+++u3p81apV8Y1vfCNuu+226N+/f6Nec+fOnfVuv/fee+PrX/963HPPPY163Ux17do1evbsWef2HTt2HMBqAACAxiJUAQAA9lu/fv3itttui+uuuy5WrVoVSZLE5MmT4+Mf/3iceOKJ8elPfzq6du0avXv3josuuihKSkqqj3388cfjlFNOiW7dukXPnj3jzDPPjDfeeKN6++rVqyOVSsV//ud/xqmnnhodO3aM3/zmN3XWMnfu3Hjvvffi+9//fpSXl8e8efPStu/evTt+9KMfxdChQ6NDhw7Rv3//+Ld/+7fq7S+88EKMHDkyOnbsGMcff3w88sgjkUqlYsmSJRERcd9990W3bt3Szvnoo49GKpWqfr338l9VS3bddNNN0bdv3xg+fHhERLz99ttxwQUXRPfu3aNnz55xzjnnxOrVq6uPq6ysjGuuuab6d/P1r389kiRp8H8PAACgaQhVAACARnHxxRfHxz/+8bj00kvj9ttvj1deeSVuu+22+NjHPhYf+chH4sUXX4zHH3883n333Tj//POrjysvL49rrrkmFixYEH/5y1+iTZs28dnPfjZ2796ddv5vfOMbMWXKlFi2bFmtS41VmT59ekycODHatWsXEydOjOnTp6dtnzp1avzoRz+Kb3/727F06dL47W9/G717966u5cwzz4wPfehDsXDhwrjhhhviuuuua5Tfz1/+8pdYtmxZzJo1K/70pz9FRUVFjB8/Prp27Rrz5s2LZ555Jrp27Rqf+tSnqmey3HLLLXHPPffE9OnT45lnnolNmzbFI4880ij1AAAA2Wub6wIAAICDxy9+8YsYMWJEPP300/G73/0upk+fHscdd1z84Ac/qN7nnnvuiX79+sXrr78ew4cPj/POOy/tHNOnT49evXrF0qVLY8SIEdXjV111VXzuc5+r9/plZWXx+9//Pp599tmIiPinf/qnGDNmTEybNi3y8/Nj69atcdttt8Xtt98eF198cUREDBkyJE455ZSIiLj//vujsrIy7rnnnujcuXMcddRR8dZbb8W//Mu/7PfvpkuXLvGrX/0q2rdvX/17aNOmTfzqV7+qnuVy7733Rrdu3WLOnDkxYcKE+NnPfhZTp06t/h3ddddd8cQTT+x3LQAAwL4xUwUAAGg0vXr1ii9/+ctxxBFHxGc/+9lYuHBhzJ49O7p27Vr98+EPfzgionqJrzfeeCMuvPDCGDx4cOTn58egQYMiImo0tz/++OMbvP5vf/vbGDx4cBx77LEREfGRj3wkBg8eHA888EBERCxbtiy2b98eH//4x2s9ftmyZXHsscdG586dq8dGjx6d5W+hdkcffXR1oBIRsXDhwlixYkUccsgh1b+bHj16xPvvvx9vvPFGlJaWxrp169Ku37Zt24x+DwAAQNMwUwUAAGhUbdu2jbZtP/h/NXbv3h1nnXVW/OhHP6qxX58+fSIi4qyzzop+/frFL3/5y+jbt2/s3r07RowYUaOZe5cuXRq89j333BOvvvpq9fWrapg+fXp8+ctfjk6dOtV7fCb9Stq0aVNjv507dzZ43N717969O0aNGhX3339/jX2LiooaPB8AAHDgCVUAAIAmc9xxx8Xvf//7GDhwYFrQUWXjxo2xbNmyuPvuu2Ps2LEREfHMM8/s07VefvnlePHFF2POnDnRo0eP6vEtW7bEuHHj4pVXXolhw4ZFp06d4i9/+UtcdtllNc5x5JFHxn/8x3/Ee++9Vx3APP/882n7FBUVxdatW6O8vLw6KKlqYp+N4447Lh588MHo1atX5Ofn17pPnz594vnnn49x48ZFRMSuXbti4cKFcdxxx2V9PQAAYP9Z/gsAAGgyX/3qV2PTpk0xceLEeOGFF2LlypXx5JNPxhe/+MWorKyM7t27R8+ePeMXv/hFrFixIp566qm45ppr9ula06dPjxNPPDHGjRsXI0aMqP455ZRTYvTo0TF9+vTo2LFjfOMb34ivf/3rMWPGjHjjjTfi+eefr25mf+GFF0abNm1i8uTJsXTp0njsscfi5ptvTrvOSSedFJ07d45vfvObsWLFivjtb38b9913X9b1fuELX4jCwsI455xz4umnn45Vq1bF3Llz48orr4y33norIiKuvPLK+OEPfxiPPPJI/P3vf4+vfOUrsWXLln36/QAAAPtPqAIAADSZvn37xvz586OysjI++clPxogRI+LKK6+MgoKCaNOmTbRp0yYeeOCBWLhwYYwYMSKuvvrq+MlPfpL1dXbs2BG/+c1vajS9r3LeeefFb37zm9ixY0d8+9vfjmuvvTa+853vxBFHHBEXXHBBbNiwISIiunbtGn/84x9j6dKlMXLkyPjWt75VY+myHj16xG9+85t47LHH4uijj46ZM2fGDTfckHXNnTt3jnnz5kX//v3jc5/7XBxxxBHxxS9+Md57773qmSvXXnttTJo0KS655JIYPXp0HHLIIfHZz34262sBAACNI5VksmgwAABAK7V69eoYNGhQLF68OD7ykY/kuhwAACCHzFQBAAAAAADIgFAFAAAAAAAgA5b/AgAAAAAAyICZKgAAAAAAABkQqgAAAAAAAGRAqAIAAAAAAJABoQoAAAAAAEAGhCoAAAAAAAAZEKoAAAAAAABkQKgCAAAAAACQAaEKAAAAAABABoQqAAAAAAAAGfj/AQq53ek4KnnRAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "buildings.plot(x='Year Acquired', y='Square Footage', kind='scatter',\n",
    "              figsize=(20,5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1e33f1a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "buildings.loc[buildings['Year Acquired']==0,'Year Acquired'] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cd4d449f",
   "metadata": {},
   "outputs": [],
   "source": [
    "buildings.loc[buildings['Square Footage']==0,'Year Acquired'] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a10c487e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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c0X5qlZWiLrkW73FHhibMYCGEEEIIIYQIk5ediadXzkHN6sV46sbZqFm9GE+vnJPwAU1CYk0yZlYkE8lcAobB1wG8GiNuz6dZdqadhmCXhRDv6+xmjOhFJT29/c7snI3a9N6JdsvvJON4YMavOCL9VCYrJd7jjgxNmMFCCCGEEEIIkaa0iMbXhBiRzJkVyYISbNMjmlkQb5Tgq5kBdiK33Qu8HiNenE+j7MyZE4LY0dhi+h1R4UamXQ2hDhw+04WJhc7uscr30wMBV2PEaZDaqv1m41bRatKgFXaSfTww49ce0blcJitlqM+vJD4MWYGluroa1dXV6Ovri3dTCCGEEEIIIYSkCKJlTIhzUqEEzFAOvvoxRtyeTyU789DpTjQ2d0YEghXraj0Xboza5VZ0Mvq+FXZjRDZILdJ+u3E7eXQu9qqyWZJ9PJj1KTKI6FwuK/gN5fmVxIdAOBx2lteXIrS3tyMvLw9tbW3IzbWu+0gIIYQQQuxxu/qSEEKSlYZQB656eKPp+zWrF3Ne9IBEOs9u73mpGHy1y2Lw89p5fT7bunqiArVWwofZsW/aH8Luoy2YMT6IhZXFUd+74b/exLaG5qjX55UV4vmvXWHbTrPvmyFynmWO3UqIUkQzkWsPICbjgc+qiYHMfCDSx/Sk4vxKYouobjBkM1gIIYQQQoi3sCwOIWSokwqZFclAIpSA8eqel0rlFr3IYnA7Rrw+n6JZCGbHft/yy3HP+n2W56Qh1GEqjmxraLYt52X1fSOC2ZlC50j02EXLPImOWz/HA59VEwuZudxJVsoQzykgMYQm94QQQgghxBOS2XCYEEK8gOa6seOxG6ajqqJI81osS8DwnheNyDlx4+1RU9ekMbOOJaVFI7FkUolp8N/s2JdVb7E9J9sPnbHc95s24ond9/W0dPWYnkej82x37CKimQLHbXIRi3En2icUwa9m9WI8deNs1KxejKdXzjEUxlq7LmDFulpc9fBG3PjUDix56K9Ysa4WbV09vh0HGdowg4UQQgghhLgm2Q2HCSHECxIhs2KoEE9/A97zovE6i0EhGTIOrI69xSCgG91PrFfZByz2e/hMF053nJNusz5TyM15lhHNlHG7aX8Tdh9tNS2Z5gcct+LEctzJzuUiWWrJ5oXGknXJDwUWQgghhBDiGpbFIYSQAWiuG1viUWLLy3teqgTWZM6JzBhJhkCp3bGboZyTuaWFlp8bnZ+FmrqmSB+RNbQ3YmLhSGysa8KeYwMixy82HXJ8nmVEs3gKZsn6rBqPOeLW53Zh60Ft5tSm+hC+/txO/Opme08gJ3g1lyeTkJYMAjIRgwILIYQQQghxDcviEEL0pErgWJZ4ZlaQ2ODFPS/VAmtOshi88vaIN3bHboZyTsqKczC/vDAqoA0A+VmZWPFkbeTvRZXF6O3vx/YGubJgCumBAGZMyMe1a7cYZteokTnPoqJZPAQz5V6UbpYK9CGJ9qwarzmiIdRh2BcBYOtBe0+geJNMQloyCMhEDAoshBBCCCHENSyLQwhRSLXAsVNSybycaPHinpdqgTUn58RujCRLoNTq2HOzMtDe3Wt7Th7/4swogSKYnYn2bq0Isrk+hH7Bds0rK0QgAE2wvKqiCG8fa0Vbt7W4okbkPIuIZrEWzIzuRcHsTLR19WjOYaI+q3792V3Y1hCdRXLLszvx/Nf8ySIBgO2HbDx/GpoT7lypSZZFX8kiIBMxaHJPCCGEEEI8Id7GpYSQxIAmwkOLeJuPxws39zwlsKYOugPawFoy4vVzQLIESgHzY39l1QJHBt5Pf3UOWrp60KezZ7ETVx68dmrEAPz5r12BX918hcYUfOWCiVLiCiB3nkuLRmLJpBLDwLCIYOYlRvei9u6eKKE/EZ9VG0IdUeKKwraGZp/nCOtUH2vHoPijCJ7pAe1xpAcCWFRZbCpaxPpeFuvxQPyFGSyEEEIIIcQTWBaHEMIVmUOHoZ6p5OaelyyZGbJ4/RyQTNmxVscuY+quZPXU1DU5asfcssKo86LOFHrl7ePC2/L6PMdSMDO/FwEtXT14ZuUc9PaHE/ZZdfsh6xJwb/qYRTK3tMDy/SvKrD2DEgEZn6d43cuSSUAm9lBgIYQQQgghnsKyOIQMXVI1cEyiiVf5Gj3x9vpxcs9L9cCal88BMoFSWYz6jtv+pD922eCtqF9IWgDoV6USiIohHxubL3QcgPeZHWXFOZhXVmiYmTHPQBhyg929qLc/jCWTSjzbn/dY54nYdA9XxPI6+YWM2Buvco3JJCATeyiwEEIIIYQQQgjxhFQPHJMBRMrX+B0cSuYMmlQJrMVC3JLNihFpk1HfmV9eiHAYmn5t159E9mUVvP3uNZMj3w9mZwr7hcwpLUBmepqw6KRu55WTShDMzjQ0uA9mZ+KlW6uEs4+cXP+AiTJg9rpTkv1eNLfUOktkrs9ZJD/7UrQnkDIe/MKP+cRI7FXvJ/xhdq2eWGXdeiUgx3uhARnCAkt1dTWqq6vR19cX76YQQgghhBBCSEqQKoFjYk08y9co3PrcLo15NzCQQfP153biVzfHLoPGKX5mZvhNPMQtu6wYmTYZiR76vgSYr2IX3ZddycSrHt4Yec3I0F7xC1GLIVUVRbhv+eW4Z/0+w/Mg0s7nVs7FF9dt12w3mJ2JV1YtQE+/ncuL8+vfEOowPM/AwPlnCclByopzML+80PB8zS/3P4sklmV/YzWfGO1nyuhcy+/4nXXr9jwn80KDVCMQDocT3Z/IV9rb25GXl4e2tjbk5loPLEIIIYQQQggh1rR19ZiufOUP/tTg+drDuOulvabvP3jtVPzDnPG+7b8h1KEJTuupWb04aQK1yehbtmJdramI6mdJHS/aZNd3jND3J9F91dQ14candjg5HA16vxDR/dt97o36EHYdacGM8UFMHZMnHKh1ev3tzsdTN872rGxXLPflF1b30ubO8ymTseDnfKLO7PjOy/ui9hOAdTG2Z1bOsfRMijeJOBenGqK6wZDNYCGEEEIIIYQQ4j2xXPnqJyy5YU68y9dsP2S8Cj7yfgwyaLwi2XzL7LIyvMhCkB17Mm2y8+YwQr2KXWZfdmWqRDnW0o2L80ZI7V/kcwsriyPBYyVQq8Yog8fN9Y9l2a5kLxEGDN5LN+0PYffRQSEslRYw+DWfGGV2GGGXcdDbn7g5CbGYi4k4FFgIIYQQQgghhHhOsgWOFVhyw554l6+xs3hO3JBY8mMnULgpqeN07Mm0yYnooQ7Gy+zLapzIcNdL70b+PWWMWEkjmXZ6KVAZXX+1YBarEpJlxTmWXjPJcG8yGg95WRlo6+7VfG5TfQi3PLsTz38t8Usj6vFrPjEqA+iERBbi/JyLiTxp8W4AIYQQQgghhBCSKFiZUpNBHv/iTCzSlU5ZVFmMx7840/d9zy0tsHz/Cp8zaIYyIpkBDaEO1NQ14dDpzsjrRq/pcTr2ZLIVFJ+odIeu6rKZEV4X5d97vF1o/zLtFAnUKshst7XrAlasq8VVD2/EjU/twJKH/oqevn7MLdOOXz+8hxpCHYbiCgC0dPVY9sNEwWg86MUVhW0NzUlxTHq8zDTaWNeER1/fj1/vOIpN9SGNiGdHmm46SA8EsKiyOKEFilTI0kolmMFCCCGEEEIIIYTA/5IbqVR2zEkpOK+Ov6w4B/PKCrGtITozYF5ZLDJohi6KQGGUhTCntADfeXmfZgzNLy9EOAzNtTLykQh/OMb0iIw92Yyqx26YHlVmyQp9VopoFkZDqMOwj3pBGgC1Hb1+/zIZHHaB2qb2c3j09f2YMT6IhZXFwsdvJBDUHjqDqooi1Kxe7GsJSTvR6M2G5qj9J9L8bHYvsuLNJCqNqCAznhT01+lwcyeWV28xFdSsUOatzPQ0zfl2IvrFuv84OXfEPyiwEEIIIYQQQggZEtgFQPwquZHKZcdESsH5cfw/+9JMUy8C4i9GAkVVRRF6+/ujAupGoseWAyEsfqhGExCdMlqs9JUZZovVjV7Xi4PpAWDFk+aG6PqV4GbHr+97TvxeHrh2Ki7OG4G9x9rw8Ib9pp8rLxmJ+qbBjAX9/kUyOMLhsGXprgCA9LQAvv3bwRJlwexMPLdyLh78MyyP306sBiBsMu8kcG0nGqnLrs0rK0QgoO2r8Z6fnfQdZzlZ8Ud0PJndR9451orWbnlxRb2fvOxMw8UCIn0vnvd30XNH/IcCCyGEEEIIIYSQlEY0AOJXyQ2r0kdqA+lUQh2Y+s7L+zw/ficZNMQbjM59OBzGVQ9vFPp+XxhRwf/3ToiVvjLCKlNEKZ1k1DfU4qDMSnDRvuekJv+Y/Cyh0kYrF5Rhbllh1P431jVhz7FW2xJo33x+l6bc2JyJBcgZka4pQRVGtMl3S1cPvrhuO3bfu9Ty+L0Qq90Ers1W9xth1HfiPT878Qqa60NpxFhkZViNJ7v7yBv1IWHPLWU8f2/Z5Yb9Vj0fyPS9eN7feR9MHCiwEEIIIYQQQsgQIpHKoMQK0QCIHyU3/C47lmgYBaaM8Or4RTJoYo3MGEvm8ag+9zV1Ta62pZS7SgsA6pi+yNjzIpjvZCW4Ud9TX89+k++ZkZEWwIona4U+O/fDUngR83nJMkl6Qau28YxwO1u6evBGfQhj8rNMP+OFWH3Tf7+Ftw63aF7bVB/CTf+9Ay9+fb7t92VLwamJ9/xsVeLNCKNSeG6IR1aGncBhhIzFUSAA3PnJSUL3DNFnBif3dz/m/ES8Dw41KLAQQgghhBBCyBAg2cpUeRWEkA2AeF1yw6+yY4mKUWDKilQ6fpkxlmzj0Q4nK+6NmDw6V5NZITL2vAjmu10JbnQ9Z08MCn8fiM4WMWPGuPyotsl6UAjuypR71u/F4ebBuc3IV8eNWN0Q6ogSVxR2HG4REj701/SDtnO4U1UaTIR4zU9WJd70+FEa0e+sDLv7u+x9RITe/nAk+8qubaLPDDL391Sb84kWCiyEEEIIIYQQMgRIljJVXgchZAUOr0tu+FV2LBFxYsycSscvs+I+WcajFeogqUxJJiseu2EGAAiNPfX+vco8M1sJ7iQgvOtwK4LZmWjv7nV1TvQcPN2p+XtjXZMjg283HNXNq0a+OvPKCjG3rEDjbaIIZnbn8w/vnLTc/x/eOYFvXlUp1FblmjaEOoQ+ryZe85PdfUvx6vEj801EYFD797gVIvX3dyf3EVGU7KuFlcWmn5F5ZpC5v6fCnE/MocBCCCGEEEIIISlOMpWp8joI4VTg8Krkhh9lxxIVJ8bMqYLMivtkGo9GmAVJ718+BXev36t5fX55IcJhrc9FMDsTbV09mhJa+vFgdfxG+7cK5rvBTUC4LxxGS1cPZk8IYodJ33BCW7c2SLznWKvwd9MA6dJlRugzYIx8dWoPnUFVRRGe/ups7D7aihnjg5g6Ji8qQ9BIQD/Ted5y/2c6Lki3WUYEjPf8bHffuqLM25Jgauzmcb1/j8wCCJH7u8x9JD0QwIzx+TggkfHz+vsfoLc/bCoOyTwziN7f7eb8TftD6Aubt4kkPhRYCCGEEJKQJHNNckIISTSSpUyVH4HnRBA4vC47lqg4KROVKH3PLTIr7pNlPJphFiS9e/1e0+wv9WsF2cNcjQej/SvB/JrViw2zX5w+V3oREL71qgpMLBwZaZdi1u0mq2XXkZaIwPKxsfnC31tQWYze/n5sbzjjaP85w9PRcb5P6LOR4LHqOg9k9GgD4UYC+pJJJfjl1sOm277qshLJlg9gNBfPKytEIADPxTkFJ33PyX3L7W8n5fvpgYDl5/T+PaILIETv7zL3EeU65WVn4o36EHYdaUFGIIA1r+03/c4vtx6O9C0jcUj23Ivc3+3mCLX3EsuGJScUWAghhBCSULA+LSGEeE+ylKnyK/Acb4HD67JjiYqTMlGJ0vfcIrPiPlnGoxGiQVJ9/9a/5nQ82O0fGAjOK7h5rvQqIKwcn3KMbszXFWaMD2oC6maG6MHsTLx0a5XmPB9p7sQyCc+WNZ+bhhNt3ZgxPogx+Vm46uGNjttttE8jAf3KSSXIz8pEa3f05/OzMi1LPFlhNRd7PT+7/U1z3/IpWFa9WXPOcrMycP/yKZ7ux+j7ihDWp5rGleyn6OwlJQujCX1hmJ4/0fu72X0kDQPXz6zfLqwsjvSL/3qjAW3dvZb7A8zFIZlnBpH7u4xoxLJhyQkFFkIIIYQkFKxPSwgZini18tTs+4mQxSGCX4HnRBE4vCo7lsgYBaZESkIlO3Yr7i+7JBc1dU2WfiXJcE68FEGdjAfZ/bt5rvTyWDfWNWHPsYEyWQsri/H0yjnYtD+E3UftV9wb8YtNhzRjbM7EAtR90K4JKgezM/HKqgXo6dcWBbtn/T60CwSfFYpGDcf1s8ap9hVEbaN3Jc8U9Ofz999YgGt0AoNyTG4REQHd4vY3zT3r90Zdp/bu3kimmFf7Mfp+W1dPlJgxeXQu9uqyV9SseHJH5N9GAo/M/d3oPpInmP0EAJMuykVt4xnL/QHWvjKyzwxW/Udm8UGylIokWlJCYMnIyMCUKQMK7qxZs/DEE0/EuUWEEEIIcUKy1yQnhBBZ/Fh5avZ9r7I4/Czh6HfgeSgIHPHGSMySLQmVjGVCx9kED+/47TuRf5v5lSRD2bh4Z9/I7N/tc6XovuyEmM889oamrFZeVoZwANiMzQe0x7Xz8BnkZmnn/I9cnItvv/SOpvTVrAlBU68gM/TXtO6Ds5KtdbafcYXZ2H3v0kjpJ0WcSgbc9j3R7/u1n34MZBv96LppONkun71kJHzI3N/195H0QEBTRsvqOBtCHdJjy8xXxstnBtnMNTMBNxnvj0OBlBBY8vPzsWfPnng3gxBCCCEuSfaa5IQQIosfK0/Nvu82iyNWJRyTQQgi9jgpCZXMZUJljJnt/EoSmbLiHMwvL9QE7RXml/tnvK3ev2iQ1u6a/P7tEwgjbBq4F92XnRCj9yxp6+51Ja4AYibz2xqir9EuSXFFz8a6JqHSSzLYCejq0k+JjPqe4+Q3jZPvu/3tZPd9vTA8e2IQOwSyl8wEHtn7u3Ifqalrstyf+jhl5mIFp74yMoiKRgp6wTGZ749DgZQQWAghhBCSGsR7VSQhhMSSWK1w1eN0RWasSjgmshCUTKKN32XnnGDX95z0sUS5JjI19u38ShKdnt5+qdcBuetk91nRIK3dNXlkw2BZLqX01LhC7Xfi7d/kNeZXyBx18HrPsVbLz944fyIWTSrGxMKRuHatsc9LRloAvSqFKB7n06iPOZ1LjO45syYELb+j/k3j5vtufzvJeoPkjJALI+sFHtn7u1Ja75K8EZb7UR+nzDHZ+cr4UT1BPefLZOxa3R+/e83khLgPDmXiLrBs2rQJa9aswc6dO3Hy5En87ne/w/LlyzWfWbt2LdasWYOTJ0/i8ssvx09+8hMsXLgw8n57eztmzpyJrKws3H///bjyyitjfBSEEEII8YJkrklOCCGy+L3y1Musv3iUcEwkISiZVo7Gsuycl8j2sUS7JjI19hUam6Pr/vuFV0JUQ6gDO0yyIHYcbpG6Ts2d5zVtEr2mokHasuIcU/N3PS1dPbimejN++/X5mjaFYX8ttx+KzhRJJZraz+HR1/djxvggPjY23/KzV11WgoWVxWgIdZie997+MJ5ZOQe9/eGYB4SN+tj88kKEw9qMH3W/sxs7Rvec3UdaPzSK77X9TXPrc7uiMsLeOtyC/KxMnD1n/X23v51kvUHauu3Hkhozgcfu/n64uRPLq7UCXUZaAP3hsEYMMTpO83MC5GbJ+crYZRq57bt2Aq6yr/QALO+P6tJtifpskurEXWDp7OzERz/6Udx444247rrrot5/4YUX8C//8i9Yu3Ytqqqq8POf/xxXX3013nvvPYwfPx4A0NjYiNGjR2Pv3r341Kc+hXfffRe5ubmxPhRCCCGEeECqrRQkhBAz/F55OrFwpGeBgGQp4eiXEBSr7B0viGXZOS+JpXm5X9y3/HIsqzZetW/E2r8c0IgVfgTGvBaith+yLm31ZkOzwHUKYfFDNZrztKiyGL39/djecEb3WfNrahektQryG9HS1RMVqOzp60ftIbs2BYT34Zb0NKDPSRqKA9IApKUF8O3fvht5LZidadqGjLRApJSX3Xju7Q9jyaQSoXZ4GdA26o9G5e62HDiNW57dicz0NMuxY3XPaenqQe6IDLSfGyyplpuVgfuXT9Ecm9H+AaC1uyeqJJfRbyK3v51kvUFEcLs4Ti+uAAN9RhFZFMyO0/icDFy7M10XIsJsOBy29JWxyzRyO2ebicWtXRewYl2to2sS7/vgUCXuAsvVV1+Nq6++2vT9Rx55BCtXrsRNN90EAPjJT36CV199FY8//jgeeOABAMDo0aMBAFOmTMHkyZOxf/9+zJo1y3B758+fx/nz5yN/t7ebK5WEEEIIiT1uS8MQQkiy4NfK0/RAAHNKC/Cdl/d5FghIlhKOfghB8cjecUq8ys55gZfm5Zv2N6EvjJg/Q9yzfh/aBfwp0gMB5GZlYNeRVs3rfpR78V6Isl7lrpYazK9TtF/I5vqQYfkqN33PiReDpk0HQlGlg4zaNLe0wNV+ZOiPkbgCDIgrvboTYCVY9faHI+fEi3uGVwHtwSyAgHDAui8cxraGZqTptDP92LHrYx3ntPNBe3dvxH8JsM9+um7GWPzocx+1/E3k9reTSJaWLG5805razllmP6353DQUjRpueZxW5yQvO1PzPdHnMD9Ffb1YbLQvURLx2WQoEHeBxYoLFy5g586duPPOOzWvL126FFu3bgUAtLS0IDs7G8OHD8exY8fw3nvvoayszHSbDzzwAL73ve/52m5CCCGEuCcZa5ITQlIPv/0d/Fh5WlVRhN7+fk8DAXZiUDgcRk1dU9xFcT+EoGTJ3gGSq+ycHi/Ny1c8uSPy71iVSzETE4yYMSHf0Cja63Ivfghmc0sLrd8vG3xfRuCw0w2c9D0ZLwYjjMQVNUqbyopzMK+s0NBU3mu8D4VrUUp3NbWf02SuiKI+J27L/roNaBsJNLLYeXPY9TF9v9Z/P3T2guX3Qx3nhX8TeVlWU5ZgdiZeurXKM980K060deP6WeOEPityTkSew2K5+EDmXmJFIj2bDAUSWmA5ffo0+vr6cNFFF2lev+iii3Dq1CkAwPvvv49/+qd/QlpaGgKBAB599FEUFJivHrjrrrtw++23R/5ub2/HuHFiA5MQQgghhBAyNIiVv4OTlad60Uf/fbOSF24DAUZBiLllBejp60+Y+t9+eHklS/YOEJuyc37ilXm5mliVS7ETEx64diouzhuBiYUj0djciRuf2mH5eQU37fdDMCsrzsH88kLDskbzyws123MrcKhx0vec+OLIoPYm+dmXZkb13cqSHNQ3dXi+Xyt+dN00nGzvRltXD57c0mj6uUAACBt4WSglvh59fb+j/auvk5sFBF4EtL0QDsxQC0lm40Hk+8Wjhll+rjhnuJtm2uJVMF/JOBEt+6ZG9jrNGB+U3ocVIhk8sVx84DbzTiGRnk2GAgktsCgEAtqcvHA4HHlt/vz5ePddcVV9+PDhGD7c3wmKEEIIIYQQktzE2t9BZJWlleij/n5NXZPldpwGAozEoO+8vC/hfDC89vLyQ7TxCz/Lzskeq5PsLxnzchlj5liUS7ETE64oGxQfwhLBfjft90swe/DaaVhWvVlTxieYnYkfXjtN8zknAkdaALYm1jIYzQezJwRR39SBVkHD7jRoMxECANINvEleWbUAveGwsL+D16QHgDt++47QZ2dNsPb2sDOzF7lObkpXOQ1oOykHZoT+mutRjx0n2p3yfZmMMD/wKpgPyD1bOL1OwezMiAjoFSLPe7FcfOBWmE7EZ5OhQEILLEVFRUhPT49kqyg0NTVFZbXIUl1djerqavT19bnaDiGEEEIIISS1SFTPDVHRx+9AgCLmJOp58sPLy8i8XG9WnCj4VXZO9PteZH85LetihZPgn0zfkRGnnAgPTrNN/BAH71m/N8prRu8toSB7nSaPzsXe44NeuW7EUWBwPnhhxxFsa2hGVXlRpLzQG/Uh7DrSghnjg/jW87sNfR/yszIxbWy+pv3pJt4k11Rvxm+/Pj/ymtPsBiusAv99goH++eWF+NXNV1jOkVdOKkEwO9PwnORlZeCjY4PCc4TReLYbY2k2x5ChM0dxUw5sfnkhwmFoSrwtqCxGb38/tjecsRw7DaEOV6XhyopzkJ+VaSj25Wdl+n4PtTvP+s+Kik5muLlOiojpJaLPMbFcaFFWnIMMgzlGFLdzJnFGQgssw4YNw8yZM7FhwwZ89rOfjby+YcMGLFu2zNW2V61ahVWrVqG9vR15eXlum0oIIYQQQghJERLRc0NGzIhVICARz5MaL728jMzLzQLKVvjt6QO4F5jcft9KCPTSvF3fzvSA1ntFjxem2nbXT0ackhUenAqjXmd0yQqrstfpsRtmAIBn4ujh5k4sV4mj63efwA/+9D5eWbUACyuLsbCyGA2hDlNT7dbuHnxv2eWRNll5k7R09USVS/zhtdNw9/q9npRhAoDykpGob+p0/H2lPwP2c+QrqxbgGoNMpVdWLcC4wmxHc4SoAGvnyaMPPsuWmVK8ZtRt1x9PW1eP7dhxmgHyZsPpyHgwy6Rq7e7xfaGC3XlWIyo6WSF7ndZ8bhpOtHVjxvig55krgNxzjNdzqRkb65qkxRWj/kxiS9wFlo6ODhw4cCDy96FDh7Bnzx4UFBRg/PjxuP322/HlL38Zs2bNwrx58/Bf//VfOHLkCG655ZY4tpoQQgghhBCSqsTbh8IIWTEjFoGARDxPfuBFpk6sPH3UuBWYnHzf7ly59eoxEjjU7XQrLH792V1Rq9E31Ydw03/vQNawDNvrJ1LLX8Gq5J6XwqjXGV1OhVV15psdTjIezFiuyzwDBrNNdt+7FIDYMS2ZVILSopFS3iRbDpyOiLDK+XdiHv/gtVNx0Yf+PU9vbZQWWNT+P7IeX7vvXarJ9FEHuZ3MEX5kYsr4iOi9ZtToj0dk7Dgt53TXS3uFPuf3QgW79usD9yKikxlOrpOomb1TZPqZH9mxRuw51ir8Wav+TGJL3AWWt956C0uWLIn8rRjQf+UrX8Evf/lLfP7zn0dzczO+//3v4+TJk5gyZQr+9Kc/YcKECfFqMiGEEEIIISSFSUTPDVkxQybQ6xSn5ykWWRxe4kWmTqw9fYD4nGeZ1dwyxy8qULk11TYr9bPjcAt0FYkM2+/kOquDulbtd3s9vcrociusyo4nN+Lkxrom08yUlq4evFEfwsLKYqljunjUCMvPqtGLsKVFI/F87RHh7yuMzh8RKf/lZG5X+/+YYXWelUwfPbJ90stMzHA4jJq6JkwsHCk17zhZaGA1dqzamZuVgfbuXuEygEZMLBzp61xud571191PXx01sSpzVVacY1oKL5htXKLNrD94dZ3s/I/UsBxY4hB3gWXx4sW2Bm+33norbr31Vk/3Sw8WQgghhBDiNRvrmrDnWKtvpQxI7IhVKQhRZMWMWAX0Zc5TPLI4vMBtQDnWXjXxPM8yq7mV49+0vwl9YVgGpUT7sxL827S/CbuPys3F2w+dsXxfX7FFf/28uM5GwctgdmbUGIvnuHErrKYHDN+OoB9PbuYyu5Xgu460YGFlsdQxleSJCywKWtFILtien5WpKal2aUmO8He9yN665dmduP+zUzSBY6dzjBeZmHNKC9Db36/Jhps9MWi5XdHySU4D5Gb3wfuXT3FcHi49EMDcsgJ85+V9wufZ6/ZbPe84EWxls2VigVV5wJYu4xJt+vPs9T3Xyv8omJ2Jl26t8jWDhjgj7gJLvKAHCyGEEEII8Qp9jXdAW6ecJB+xKgUhg2gQxO+Avj64IHqeZAOliZLp4jajKdZeNbHyQPEKdfDYKCgl05/dBbqcrTJXrp+X11kdvFyxrjbm2U92uBVWg9mZaOvq0fg/GI0nt3OZ3UrwGeMHA/Oix9TUds5ym0aoRaO5pYVS39X7c+xvsi+xpmAXJH+h9gi2HWpGZXGOafbWtobmqNJ+ig+HGpE+KStWG92H7/7du9h6UNvWHY0tyB2RgfZzWp8sAJhXVmgrsroNkFs9L6hfP9V2Dne9JFYerqqiCD19/UJj38/2x5KxwWzhTCiv7mMy87bZee7p60ftIfnxYIWd/1Gi3L/JIENWYCGEEEIIIcQrlv10S1QQpKWrB5/56Wbs+c7SOLWKeIFdtn0sEQ2C+BXQtwri2K1mjV2Q3B/cZDTF0qvGbw8UO5waPitsqg/h68/txK9uvkJ4m+r+7CbbQTbwrZAeCKCmrkk6M0OEWGc/iSITkDW6Ju3dPcjTrdA2Gk9u5zK7leDqwLto6a1TZ8UFFiPRqKw4B3MmBlHb2CK8HRlEsgDePdaKz67dKm2kDQCb60OGxugifdKpWK3279GLKwpG4goABGzGJWA/b4gG9M2eF2T8hxS6LvTircPRfcToPHuVsepVGUEz7Mbzmw3NlvOJH88GMvdno/O8+UAoKrsRUGdohtAXls/KGVeYbel/RBIPCiyEEEIIIYS4YGNdU5S4otDaPVjjnSQXiRjkV7ALgvgV0HcTxIlVkNwv3KzwjaWnj18eKKI4NXxWs/VgsyZ4KNqf3YoRZcU5mF9eaBjAzc/KxNlzWi+FNAz0ixVP1kZeE83MECXW2U+yOBdWBxYh2IkBTuYyfTDcaiW4GtF5xwt/hPS0NOFtyCCSrQHAsbgCwFBcUWPXJ92I1dsPGYsrVujnEz1288b1P9uKHSoxTHkO2HO0JVISduqYPKHnBbN7gRFG4ooa5TzHS4R1kkViN57V2T1G58+qjN3zX7sCRtiV7hX1YDE7z3bDSH1/cPIMaeZ/RBKPISuw0IOFEEIIIYR4QU1dk+X7f3m/iT+OkpBEDPKLUlacg3llhYYlX+YJmB0b4TaIE6sgud84XeEbK08fJx4oXp5Tq2CVDNsbmoXbdPRMV6T8jhUiYsTjX5xp6Hdi5KWQl52Jdp24LpqZIUoss5/8wE4g6u0PY8mkEtP3ZcRJK1HcbiW4zLzj1h+hIdRhWo7LLX39dvLHQFkwp+KKCCKil/NyVALpKAZYjX27PrpTJ3S8UR/CzPs2aM5hRloA/bpzava8YHQvcIKSOfeBB/OeDFbjrLnzvKXoIiMw6c+f1bjZ1hAtoomW7hX1YHGbnak+pkQs1UncM2QFFnqwEEIIISSZSBQvAhJNwcjh1u/nDItRS4hXJHqQXwSzsigi5VKMcLuSXjRQ6uWK/USaN2NV414mgKXgZQDOKlglg7rldn1CvULYCjMxQt1PgiYri3OztNcvPRAw3K9oZoYdg4bwDgdsgmAnEKUHBhYpWJ0nUXHSThQfk5+F3v4wxgaj2yQ77zz71blYtnZLVJD9uZVzbUVYLwK1ZtQ2ttjen7Y5yAIxIi2gXb0vK3rJiNXKeBiTn+WorVZCpF0ukV6LCgNRApWRYGX2vKC/F7x7rA2PbNhvdwga8rIyXc97oujvo4ZlsupDWPxQjWbuN8vWEBWY9Odvu87jRM+bOlFeL64AA3PzNdWbsfvewdK9omPfbi5Lg312V6xKdZL4MGQFFkIIIYSQZCCRyxSRAT497RLLH8efnjY6hq0hXmBfJ/x0whjfG2FVp96uXIoZXqykFwmUerGfRJ43zWr0eykGya6QVlZCx8IwWJSxwcFAqtuyY2Yluoz6SX5WZlTJR7UvjHL9jrd2W+7TLjNDjV7g0bfJiniXCDNDfUzGwuqAaLXiyR2R18zGqIg46bTMk7Iv2Xnnh6/WQT+Uw2HgwT/X2WY4elFGz4rfv30CU8fmmY7niqIcT/ZTXjIS9R90Rv42Er1u+u+3okpdbaoP4ab/3oEXvz7fdh9GYzQvKwNt3dF+K3lZGeg41yddhtE+58cdZmNUEZhOtVnPJUa0mZSldYvdXDRrQtCwdFk/ECVmmGXwKON50/4Qdh9tQXoggIdeM3+GHjx/1gsG1FL0xromy6wUdeleO4EtI21gy1aLROaWFSAjLc1RVpJdZnQiLRQh1lBgIYQQQghJYJK5TNFQoaw4B7MnBLHD4Efn7AlB/iCSIFF+SNrXCd8b+XeiBO7V+OHb4IWPiEig1Iv9JOK8aSb63Ld8Cu7RlZ5y26eMzvN3Xt4XdU6NPET8NgwWRb0i3ElWjhqzEl1G/cTMT2vrweaoIL0VImWSjPqE4uEiSqKVCDM6pnllhZhbVqARfXOzoo/TboxaZTzYzXn662bn22CFnZjj1NTaK9QLPoxKN10+1psKLj29xtLEYPaVuY/IjsP2mTaA8Rg9290bVaLNrIyfMvatni38FryUAL0Zc0sLfd2/yP1edC7aZeMLo8Ysg8doX1Yoc5zdeZpbNvj+nmOtlp/ddaQlIrDYCWzqe5HVIpG87EzbDEcjZM5TIj5vkkGGrMBCDxZCCCGEJDqpUKZoqPDEV2Yb1u332l8hVUm0H5Ju6oQnAn75NnjlI2JXGsbNfvyeN52KgGaiz7LqzWjXrcb2qk+pz7PROTXyEHGyb/U5sTOKNxMw9Oj7qGxWzoPXTsVFeSMsfTBkVxvbmU4DcmWSevv7sb1BW/ZGtLyajOAYS4z6+faG5qh53Og43YxRJ0FytW+DjCgtU7LO6D7mxKjdKZvqQ7hyTY1m3E0ZnevJthubtZkXWw5El4my4g/vnMA3r6o0fd/UVBzmZfj0wnIwO9P02Uy5Jlai/sjh6Wg/F50tI0Nvf9jyvlFWnIOMNMBEr3KNyP3eaNwaXUcnTdQLPEb7MkNtMm91b5lfrvWW+9jYfMvtzhgfjPxb5nnJbpGI+p7rtlRnIi4UIdYMWYGFHiyEEEIISXT8WIVO/CFW/gqpSiL+kHRaJzwR8CILRMGNObFTMcLNePJr3nQjAlqJPl4Hms3Qn1NzDxHxfZudE7OV7SLiilkfDduUh9EzJpgVZWSuxkkpM5E4mag3yOb6kKvSRE6ETb+xC4iL4mWGXQDWhYUU3waZIKuMmKO+jynz4emzF4S/b0R6IICcERnCZaL0427fiXZX+zdD8R8S5VCo07I0od0YNSvDpw5yr1hXK/Rscd/yKVhWvVnT/tysDPT2uVc9Hnm1Du+qzrn+vrGxrsk3cUUEJ2KzDOqxI7uvlq4ebNrfhL7wwHYe/+JMocVMV04qicpyUghmZ2ruDU6el0T8g2QXBYicp0R83iSDDFmBhRBCCCEk0fFrFTrxDxnTVjJAov6Q1AekT7Wdw10vvWv6+UQTPN1mm7gxJ/YqI8nJeBKtpy7LzU+/ZVhm6Oand+DXt1h7CTj1JfGjTynntKauyfW+DYWDA6EoU2gZcrMycP/yKVGv3/rcLlNfISOMTKfVeFkWyCpbxkp0kMVoxb5fOBFHvfLfMXu2sWuTUZB8RGYaunvMz7YyG8gEWWUyHCMeMI9vNSwj6oRAAHjkcx/F6t++LSVoKLgYnp7y0u7jeGn3cQDG9we3z8Ayzxb3rN8blUnY1t3jai5T2KsTtPQCj105K7eYzeUb65qw51gr0gPO7okizCvTZpY4mSPUPk3zygoh2txnV87FsuotmntBRloAz62cGzWXmAlsRvciUURLdRrNMVxgl5xQYCGEEEIISVC8XIVOSKKS6D8klYB0Q6jD8nOJJni6zapyk1XkVUaSTJBX+eyptnOWn7MLvJtt28x7o7bR3kvAaTDfbZ+yOn9OhahBf4WAsXDgMiDZ3t2Lu9fv1fSThlCHlLgC2J+7suIc0xXOsszVBRHVeCU6zCsrtMzIEUFkPLkRR92KVmbPNqJtMgqSn7cQVwBgdP6ISBbFfcsvx7LqLUJBVtnV6Ts9EleAgTnsn557K65ZD15jdH9w+wws+mxhKoJ6pETpN6MXeC4eNcKbHZmgn8sPN3diua6f+0Wf7iS6nSO2NUTfB8yeLX7457qorMP+/jC+uG57lH9Pb39/1NxhdC9ygl2pTqOFL1xgl5xQYCGEEEIISWC88jwgJFFJlh+SySp4OskCcZNV5EVGkkyQ16lhrgx/eOeE5ft/fOcEvmHhJWDVd3JGpKOtO7rGv37lrwwi5+9EW7fZ1wEAx1u078ueZ6cY9RMZzwrR8dgQ6pAKMOZnZeLsuV7pse9VpoybReYy48mNOCqT2WGE2bONUfbSpvoQvv7cTvzq5gGTeieZQnlZmZrV8UEDTyKzIKtoyT2Rdjgh3uJKegAAAo6usxFm9wc3z8BNNmL76bPnAXgngsqiCDx+X0r9ooJYiSsAUNt4RnNN3c4RRhj1HZlyhWb3tFiU6jQTu5P1eXOoY7dwJWWprq7G5MmTMXv27Hg3hRBCCCHEFOVhvGb1Yjx142zUrF6Mp1fOiYvxt9c0hDpQU9eEQ6c7490UEkeUH5L6MhXpgQAWVRbH9IekXZ987IbpqKoo0ryWioKnyMpfP76rYBXkFfmsEXb9yeran+m0Dkad7rD3VDDrO5MuMjacdhNQFzt/1jvQh75kjIkB94EGbT8RPxmiZV1kgqrB7Ez86qa5jsa+1fyWLnGNtx5sdnyvtOoP6n6vBCX1gU91oNEOo36el2X8vGL2uhqr7CX1ObG7nlPGaMdZMDsTZ3ViSktXD/p0Hd/u2EuLRmLJpBIsurTY8Do7rEjoO3lZGVjkIiOqLwzMGJ+veS2YnRk17pV595mVc3DbJyqxeumlltvV3x/cPAOfOmstsCgis5flAmUInT2HmromnO6wbqdbttQPjv2NdU0xE1cU/vD2cc291WiOmDMxiLwsd+v/1X3HS9FM5JlFFmXesHq+HSrPm6nEkM1gock9IYQQQpKJVPL28MqfgaQO8c7UEu2TbstuJQtusopiWTdfxjDXrD+JXPslk4rxy62Nptv++GXRRst6jEzauy704i2T0kFK8Niv7KO5pQWW27mirNB2m0akBwKYW1aAjLQ0zXeU2vmipb7U/cSurWqUjIPvXjPZshyWTFC1vbsXD/65znTs25XeMprfJo8ehXePy5mNOymXaNcfrnp4Y+S1KaONxT6Z/RvNkf/+0ruGpX30Ju1GmTJ22UvbBU3qH7thRuQY0gNaXwcRRI7d6DrPnBA0LS8YT9q6e9F9ITpzToZbr6rAxMKRketckD3M9D6e96GxeEOoAw+9tt90m2b3h7CDbIePjc23fP+S3MHycGbZAjMnBFHfdNYXUeKO35h7unnJvhNtkX/77fdixMMb6iP/Vu6tRt4kHef6XO1H3Xe8zCRw6tvmlqHyvJlKDFmBhRBCCCGExAev/BlI6iD7Q9KJAbMVsn0ylQRPI9yUp4hV3XyRz/7rJy5FP8KYMT5o6l8hcu3H2QRvxwbtg/VG+9ll48vgJKAuev7KinMwr6zQMPDtxphYHVA1Gs9ODH+t2qrHSDgwEkudGJUr4pTSNitxrrnzvGaO0s9v/721UVpgcVLeTubavXfCuj0y+1cC4kfPdAldN8BYRA2dtc4OC3UMlHkSnXdKi0aipq5J+DgUJhaOtL3vGN3HwuGwpi8mEjtc+sIo50F9LrwOCLtZkHPlpBJTn6WMtADu+O2gwDGvrBBzywo0AnBVRRG+fmUZvmxR+i0ZUN/77EQnv1HfWwfniE5XpSfVY1zUi00GJ75tatw+r6b682YqQYGFEEIIIYTEDC/8GUjqYvdD0o/sJ/ZJY9xkFbn5rkwGjN1nH94wuFLaKPAd/vAa69FfexnRxwgn/hCAs4C6zPn72ZdmRl0n5TzJbPOZlXPQ2x+OCiAZjWcnhr8AcPffX4bla7c4CnaZiaWyRuX662wkmm2uD2HxQzVRJsqP3TBdc+wFI8XnKzd192Uydaz6YzA703D/+uChF1496vNcPGqY5WeLc4ZH/u2VgbQaJSPrOy/vE77vqK+zEzEn0bHrj1b3cdm51O2CnFdWLcA11Zs14zEjLRBlvl576AyqKopQs3qxRhyq+Pc/uQ6wpwe886pxwpQxeZFMnSsnlSAvK8PQ9ysWKPfW63+21bPMrqqKIty3fApWrKv1xSPMqQ8gs/WHHhRYCCGEEEJIzHAbqCRDGz+yn9gnjVFWY2/a34TdR1sts0DMvutkJbNMBoxMFsKm+hCuXFODVlVZIr0vgx7l2jsteya6mjYtAKhjeG4C6jLnzyvD3TH5WcKZEvqAvGg/+fKT2x0HOs3EUv3xN7Wdw7dfMi/boy4VI2OibDRHfXraaDyiKp1jhZtyiV6ZSrd09WDT/gF/lomFIxHMzjQMHvb09aP20BnH+wG042l0XpblZ8cEB9+368/qvmeV2aDuZ1UVRejp63d834mXv4efqH2OZFfn25VuEhljMosfxhVmY/e9S/FGfQi7jrTgktwRmswV/TYBYMmkgZKPL9QecS2uAEB5yUjs/6DD9XacskKVgbOoshjlRTnYdbTV9nsZaQFMHZ2L3ccGS4x5Jc7sdJk9pRf1V6yrlfII05OXlYmOc72eGsozW3/oQYGFEEIIIYTEDLf+DGTo4lemSaL0Sa/LnrlFpvyRGU5LW8hkNshkIbTqPB/22pRoUq69bNkz2VX8ep8Gt/5DshlEItfJaJtzywrQ09dvW44LsO5Pdvv3ypjZTCxV9m+XbaAOtsqU3jKao8qKczBnYhC1Bqu450wM4oef+6hnZZZkM3XMUAdqg9mZaNNdk80HQnAbj55fri1PZ5flZRQA1/cnmfHY2x/WBG/NSnxZ3XfUc/lRD822E4X27l58+6V3onyWRFbny1xPLxc/LKwsxsLKYtsxrt7mNhv/H1Emj87Fz78860P/n4BmHIlQMHIYznRal8oTRWaMhsPAqKxhmqyeP759Ag9tMPfQuWlBKaoqi2x9jtzOE28fbcU3rqoEIOcRNr+8EOEwNGULF1UW4/7lU3D3+r2ufQCVsZ8eCDAzeghCgYUQQgghhMQMt/4MZOjiV6ZJvPukV2UkYuFLY1X+yMuSFzIZMPrP7j3WqjHVdYreh0RGtDA6d0Yofcxr3wI/zHGNtql4qKgxW6HrZjWvV8bMdmbFXpanM0I/Rz10/UexrHqLZjwFszPx8PUfw7jCbM/mHqtrp57z0mAfAFcwErw8WOwPfZKNFwK46HhU6O0PR7IYZALyRnP5hELrDJxkpC8cxtaDzVHZKFbjWbk/NbVbZ/Opx6gfix9ktjmvtBDrd5+Q3oeeqvIijegnm1H22Y+NxpWTirH7aCsON3fhpV3HHbdFZowaZfV84+OVlgLLPZ+eHPm30XHKzDFWnP7QewmwfzZ88NqpuChvhKkXmPKam3um7KIKmefVRFt8Q8wZsgJLdXU1qqur0dfXF++mEEIIIYQMKdz4M5Chi5+ZJvHsk27LSNgJNKI/ztWfM/MmMSp/tKk+hK8/txO/uvkK27bKIpMBo3zWK3PbgC4WL1p+KD0A4SCLuo/5YWTr5zZlMsrcZp/ZGTOv+dw0FI0ajlNt53CXRYkvu3I/suXpZk8MSvkI6AWee9bvQ7uu3E57dy/uXr/XlxIydv43CyqL0dvfj+0NZ+LmGbGtoTkq08eNAC6zul1BRkhTf9ZoLj/S3C2172RCHyg3Gs+ygWf1GC0rzjEt5WbmCWRHWXEO5pcXaszsFfTZU5+fM96yZKAIGWkBXD9rnOY12Yyy2kNnsG5Lo6t2uEEvBrxw8xX4/C/ejPrcC7pnAKPjnDEhiLdclgcDgI9fdlHk33ZjdK5usQRgfm90es+UFXFFnlfp4ZJ8DFmBZdWqVVi1ahXa29uRl5cX7+YQQgghhAwZ/FhdTVIDKzHAz0yTePVJL8qemQk0tzy7E5np9iVcjH7E23mT6Nl6sDlhSl7MLS3wZDtmx+Sm/BBgvJoWSL5VqjIZZW6zz66cVIL8rMyoEm8AkJ+VGQlgNoSsfQ5Eglp2YuvGuibsOTbgSSTrq6AOHvtV8lAUszmvravHk3JiesyunxH6/iArgKvHkkwpNyNEg/xm1zN+1uYDBLMz0d7dgz5VQwLwt13q6+cm8NwQ6jAtDdjS1eN4jJhph/rX7eYTOzLSAnhlVVXU6/qxZycM7zthXcpSjVLezq4UmUwmiX7enFteiMYHP4W1NQfwRn0ICyuLceuSiqjvmc0xil+K9jkOyM0yHmd60gPQ+MHFOwtZRsSVaRM9XJKPISuwEEIIIYSQ+OLH6mqSeIgEjkVX6vmdaRLrPuk28GwVpN3W0Ax9RSSjH+dGP+LfkwjoKGxvaE6I8VxWnIN5ZYWaGutOESnjIRtA1K+mTdZVql6W0xIRPipLcrDDYOVzZUlO5N9OA236OcooKHi4uTOqPJ4s6uP0q+ShLPo5Tx8UbWo/h28bmIIbkR4IIGdEBtoMhJTLLsnFD66d+qEPhbU/w8TCkYbX5IUdR7CtoRlV5UVRWQGA8ViaKikWA9pzLxrkdyvk+MVHLs5FIABNxsYl+SNwotV5pl9awLrUlNLP3Qae/RgjDaEO03vDtoZmbNofQl847Fic+2rVRJzpuhDVR3/6ej22HDytESOUsbfRpgydqBAyv7wQY/KzcPhMF8YVZJvOhXPLCqL8c4yEOOWahMNh1NQ1RT3D3bqkwlBY0aOfY+5bPgXLqjdrxtWoEZmoKDae4/X0hYFN+5vQF0akTfHMQpbpJ6JtircAT5xBgYUQQgghhBDiOTKB41uf2xVVssOo9FSqZT+5DTzb/bDXB8H0P87NfsQr35NZ5RrvldpqfvalmVHBloy0gG2JKD3pgUBUYEmklJrZtoyC/Mm6SlW2nJbVZ80CeAoNoQ7TwNuOwy2aYJNMoM1qjtIHBT/9n2/g7Hln5cWNzomfJQ+9QDl+Ow8SNTMm5JuWTFOC2oqXg1l/mFNagO+8vE9zTWZNCOJAU0ckA2b97hP4wZ/exyurFmBc4eB5/Pqzu6KC5+8elxeLnQhhej+SRKH20BlUVRRpjMqPNHfiK0+ZC1x2LKgoRk9fP2oPnbEczzLlGo3GqB9jxO56qrM+Zk8MSm//y/Mmasb51gMhfOGJwW1uaziDH71ahxduvgJzywsBeONJopi3X/Xwxshr88oKMbesQPNspZznvOxMzXNUQfawqHlzblkBevr6Ndu0E/9FFtTcs35vVGnE1u4eIXFFQS3QKm2K17Oh3dhXSljKlGlNFAGeyEGBhRBCCCGEEOI5ooHjhlCHYT10QLxMU7LitrSFE6NtYPDHud2P+Ozh6egQDCpfUVboqC1+EDaQe6aPy0e9KkgLDKza7evvR/u56GPMSNOWWFECWOoA7pTR4qvjlcCWiECTLKtUZcQMo8+KBvBkgk0yIqzoHLWxrsmxuAIAuVkZuH/5FM1r8S5rI4rdHKOUJJpYOBKNzZ240SJwr75OZn2nu6c3SiQx8mxo6erBNdWbsfvepQCsMxNEUc79keZOvPL2ccwYH7Q9/vQAUFPXhA888n7yGiOj8tKikcjLykCbLshtRn5WJn63qkozno40d0VlIeSMSMe5nj7NeLZC3XeM+rsfY0TmnrnrcCvysjINM7L0mLVJLa6o+fwv3kTjg58CYB+gN0N9/r7z8r6ouUwR157+6mzsPjpQ1lBdWkv/HKWfN422aSb+iy6oceKJZIe6TfF4NrQTyIpGDY+MPSOMzt2sCdbiXrwFeGIMBRZCCCGEEEKIp8iUN9h+yDooliilp/zCTWkLswCUXeaJ8uPcLtjUdUEsqDzPwEQ2nhgFzncdaUVVRRFuXlSKXUdaMGN8EGPys0yDgfpsFyMR0K6UmjoAFszOjLrOdgJNoq9SlREzjD777y+9GxUU31Qfwi3P7sTzXxvMXHOykt0u0CYzRz3z5mHL/dthZlwfz7I2XhFWzTsy16m1+wLePd6qeX/P0Ra0nxML+gMDIoviAbH90Bnh7ynos9pmTMjH28daNdkdwexMzJkYxM7DrYaeEValzhIJ/Vzyq5vmYln1VqGsPkWUVgeJjbIQ2rp7Udtofx0UMUId7FejFqG9HiNWJvd6+sJhU3FF7ylk1Kafvl5vuf1/e/FtjC3IQnogYPk5M8YGsy0zUZW5TKb8pDJvypaoEhWr/SilF+8FCW4zrYzO3e4jraZZt2rvJ5JYUGAhhBBCCCGEeIpceQPr4EK8S08Zlbzw0pDcbdkzowDUgspi9Pb3Y3uDcQkXZft2Ao1IRS0lYJMo2AWGvrfs8khgT6b8kRGKiKX3JDAKICrGvmrsBJpkWaUqs2pYHcCz8kJQB8tEjcZlkJmjOs+LB/2NMAsAJkPJQzsBXF+qZ9aEoGHGiV6EXV69Jep6yogrCruOtHw4zuTvFPrg5e4jrVGvtXT1oO6DDlRVFGnmldysTLQJ+PH4bSgvipJpo/Sx+/74N6mSieqFDm6zEJyU7DvTdcHVGNFmDjpu+mBbu3tsM3D+928fWG7jxZ3HXLVBNBNVjVHpVSNk5kcZMcZp1q0IsVyQoO5PVqLd/HLrxSdW585s4lB7P5HEggILIYQQQgghxFNkVvTNLS2w/KwfpadEBBKjYM+8ssIow2AvapIDzsuemQVp27p6hFb+Ggk0k0fnYq9F8P/Ba6fiorwRCRkQlgkMeRXsmTw6F3tVXg/682zqdfPh/80EGjtvEju8FAK9xi7j4E1dQFfEaFwG+9JPg/47VeVF2NYgnyGhxywAmNglD8VX1285cBojh6cbvten6uAb65pMr6csM8YPlNKZW+r+PmEmOLR19+DmRaX43rLL0djcifQAhDNXLh+jnRu8JBCAsFigbu/siUFTrxwzQh3nI//2KgtBPz/ZZUE4GSNG93Gv6O0PW5Z+KivKwZ6jbZ7vV0E0E1WPUno1HA6b3h9knuFk7rn/8bt3pdoqQywWJJiJgD29xjnDduPT6VhK9OzWoQoFFkIIIYQQQoinJKq/gGidcMC4bIPRinu3Ncm9Iqz7JS+6Ot7oc+Fw2LKO/twEKwmmRiYwZNZPZXnshhkAYHqe7YIoeoFmTmkBevvFzYX1gcpY9z1nQo71+VaH9f0w/LXK3srLztT478h47Vjx/ol2y4CsmkQRx+wEcDV94bBpFkpt45mIELbnWKsnbctIC5iWmfIaJVOmtGikVObbkWbvSyIpVBTnoL6pQ/p7b0mKKwBQnDM88m+3wvTm+hAWP1SjEdnMRB+35Z+M7uOi6IVvPXYB/W9cVYGXdh93tG8RdjQ2R+45svexrz39lqbv6O8PMs9wMvfcd074IzjFqkypUX/afCBk2k/02Zh6nI4lfUYaSQyGrMBSXV2N6upq9PU5N6sjhBBCCCGEGCNaO92P4KkZonXCZUqguK1J7ha7YLro6nj95xJRIBNBVtwz6qfB7Ey0d/egzyZWpd+m0yCKXqARNRc2u/ZKeTi777vFjZBjl3EwOn9EJIDktsa9Gjt/h9ys6FJkVtlcMvz+7eO4bHSudOacn+KYHWXFOZhXVujaQB4A/vD2cUwZm+/Yc0JPb384Mu868WCRYcb4YKTvyLS//VwvMtICCIfhSsQ14r9WzAIA6awaJ62Yq8okdStM9wNRY2ynQVk5NU6eA9yWMltQUYyevn7UHrIutWlGWXEORg1Px9nz/sQc7/jNYDbIvLJCzC0rEPKWAYADOmHO6P4g+gwnc8+dNjoPWzzIBtQjO6U4EbBNM1FthoBV37U6d7lZGWjv7rX1forn/YFoCYT1S52GGO3t7cjLy0NbWxtyc71ZmUIIIYQQQggZwC6DoiHUYZktUbN6sScBfZH9HGnuxJ5jrUgPBPDQa/ultv/UjbMjq9NjdUzAoLeHUWDDTTDdqMSY8kO+ufN8QqyuV6MOmBRkDzNtu1kQQt1Pjb4/v7wQ4bA2i0m9TbuAjeh1kuk7RttU/HNEvu8WN33P7jjVLKosxtaDIRhVYclIC+DAD/7ecPuiWT2Kv0N6IKDJXNFjt6JdBrP+6Nd4doPRXJAoPHDtVFycNwJ7j7Xi4Q31vu3n0pKR2N/UGflbVIRVmDo6F+96JNQp2/v9txbip6/XY8vB01hYWYw3G864zsYzImdYOvZ+/5Oa12LdJ4zmLbs5t6auCTc+JSY6KWNMKQNnVWpT9D4oM8e5Rd9+GcFNzdNfnYO+sNZXRsQjyuo86ee4iXf+UbpdIojc29wI2DL9SaZdZufu/uVTcPf6vVGLP9q6ejT3+HjfH4YCorrBkM1gIYQQQgghhPiPXQZFrMqJ2WXKfOaxN9DhYqWp05rkbpAxl5XFqHRYMDtTWrjwG6+MkfX91Ky8mv611q4LWLGu1vac3Ld8CpZVb9as3M7NysD9y6do2iHad+x8Xey+7xa3fU/WmNmM3v4w3qgPRUpFOc3qKS0aiedrD1u2o9xhSSYjZDLnvBjPbjCaC+7+3bvCq+X95K6X/PN0UKMWV4CBDIy8rEy0dYt5ybSf88ZzRmHfiXZNoFrxCJo2NhfvHPPW86XjQl9U39P3iVNt5zy5FnqB2Og5QDRI3tR2Tni/SmaGkvWp4OY+6JVXjQjKHAEgstBjxrg87JL0gFELzMoxiWTBipYkbQh5M38aIXJvc5NZbJdJKdJ3jbA6d+rXzUSzeN8fyCBp8W4AIYQQQgghZGjz2A3TUVVRpHnNqBSFG+x+HDsVV9IDASz6sDa/gt2PrIw0b0rkiATj3VJaNBJLJpXYmhDL0BDqQE1dEw6ddt8+qzap2+4Eo+/rXxM9J9/+7TtRZXFaunpwx2/f0bwmWg7LafBOqd3u9tw77XvKtfeqTBQw4I+hYFgjvz6ErQebo1b2qwNTA1i36asLSlGzejGeunE2fnjtVFdtjt53bMazG9TFT/ysg+JHkCrdh422dffgmZVzBvrDddb94fCZbk/3bSakvnOsHU9/dTZu+0Qlnlk5B/PLrUvxiVL9F+PsIGU+lPHqsWLmhKDmb6PnANE599RZa4Hl2uljIufp6ZVzLBcJOLkPuvWqcYJ6jjjoco53cm+3K5Dkp+hkVypSEbDt7wPGlBXnIGjSR/KzMrFA5wcl+wxr9rxS29CMl/ccx8Y662yxeN8fCDNYCCGEEEIIIXFGdPWjG0xNrSXK/swrK0QgAM3KbaMf0XZZBL0e1Rny0pvCDi9W13vtLxHvFf+i+28IdZh6WCgmuOFwOFJuRiSjy3Y1ra5fe127XVZENLr2smWWzJgxfiAo6zarZ3TeCMvPjQ1mRVZzP/q6XAlBu30DsR3PMhhdOz+ZOSGIHSpPDqPyfLKE7TqBQ461dOOGOeN9XZkvi3qM52V5E/I7YHJ8SpkumWwRI9RljqyeA2Tm/I+Nzbfcp9qAXpkL9xxtwZ5jrZgxPhjJigOAjXVN2HOsFZfkjhDev5V/UV5WBtq6ey3b5wRljthY12S5fZHnHuWYXqg9glNnz0WdEzWi9/Z4rvB3m1ncEOqIWiSh0Nrdg+8tuzyyHS+eYd891orPrt0q/Lzo1cId4hwKLIQQQgghhJCEQNSQ3SlGpq3jCrJxuNn8h/c/zp+IKycVS9Ukj1WgVFlRafSjP6grdeIWu+DEmw2nbQMLtz63K6qs0Kb6EL7+3E786uYrPG+TV+Ww3O7fzoD7a0/vQL2qBJGRYbFeyLMqrTentACZ6WlR5u1tun7ixvheVkQ0WvXd1tWDPJP+K0owOzMS9HO6OloZjyLHpASUL861FmNk9w3ErlyiLEbXzk9+dP1HAUQHKpV594O2c7hTshyVT/pKJOcpluWgZPAqiL908sWav70W3dTzm9VzgMycf+WkEtP7o57N9SHMvG+DZt4KZmfi8S/MwNd/tUt4jnqzoVnTb80S9S4fnYf7PzsVjc2d2FQXwlNbG4W2b0VG2kAGSU1dEzbWNVl+1u65R823VWMtmJ2JV1YtwLhC7TOOVVbPd6+ZHFk88PaxVrGDcYDZ/V6Zs+2yJu2ey0T6npuMWT3L125Bn8TE5dXCHeIcCiyEEEIIIYQQaewMZhNlm2qMMmWONHfiKxbGpR+/rCRq1Wai+MpYrahs6erxNIPDTjS666W9kX8brVxtCHWYejZsPdjsqK3xXvEvvn/rwEe9zt9hW0Mz5pUVomb1YkvRykgwrKoowh2fvBRfXqc1azfqJ24yfWTOvVVmSUtXD/5t6STUh86iKHsYntjSaLrNnOHpmlJ+SrBPtE3RWT1yWUFraw5gR2OL5WdEMZsLzK6pl+USZTC7dn5iFqhU5t1EyhaZWzZQgise5aBiya1LKjR/eyG6fbVqIhZeWix1v5ed819ZtQDX6LyvjOgH0K8LULd09eAfntgu1C4FtQ/NrAlBvHXYeL5Q7oVLJpVgQkG2JwJLbz9w1cMbhT573/IpGBvM/tDbI6DxXrGipasH11Rvxu57l0Zes8sqUrdpdL43wrQRp8+e1/xtJALmZ2Wi1cA3aX55oW0fjOXzxgu1R6TEFa/3T5xBgYUQQgghxAV+B4SJN/A6eYfXZZ782qYVaoGktGikZRaIWUkMO0RNzd0QywwOM9HICKPMiO2HrMv7bG9olm5rvFf8i+5/dF6W9LaVsjKKYbERZqX1pn//NamsEJl+op5L7Y5d+ewHNuWD1rxWJ7TviUUjsff4oIH31DH5yM0anB9ks3pksoJyszKw63CrUDv15I4YCLu0nxvMJjCbC8IWYlw87mMymRnpgQByRmQYGr/LGMLbBQpl5iK3yJSQTDZyR2Ro+qQZo4ana/72SnT78ryJlhkHRv1cds4fV5iN3fcuxf/9/T5sOXgaEwpG4tX3PnDddhF2mYgrCuqszxnj8rHraGtM2qV+rlHOl8x4aunqwRv1IUeZg6dclpKz4kSb1ufISAQ0ElcAMU+pWD5vrN9z3P5DPu6fOIMCCyGEEEKIA2IdECbO4HXyHqtSEE5KDfm1TRmMVrnqV8fLcs/6vWjXlWdp7+7F3ev3enZMsc7gMFpdb4RxZoR1eQ6nMcx4r/gX2f8Jh0GlNwVFJ7VguLGuSbrklkg/MZpL55cXYk5pgcZjoKqiCPctvxwr1tV6nvnw3ol2zd9Gc4TV9cjLzrQt72f0/enj801XootgFMRWzwXqgPJ3Xt4XNRdurg9h8UM1musaq/uYTGZGVUUR7l8+BXev32t4zz3TdSFy7pXjlAlUqs+T6FwkQ3oAyB6WgbPnB69X9jBt1pQeRZxM1BJhRqj9Tqpr6rG5/jTG5mfhxV3GQd2z5/scB9RlsHpea+48b3ntzeZ8vY/F307FLvvJLgFBnfWZlxWb51Gz5xrZ8bTrSEukP8jMEX6KlTPGB1XlwCA1NyheaHb321g9b4wcLh6qj2eGI9FCgYUQQgghxAHxDggTMXidvMUPU/F4G5UDg6tcf73jCLY2NKOqvAjXzxrneHuxOqZYZ3DoMyZOtZ3TlETRo86MmFtaYLntKz4steO2TXar+81WRzvNDhDbv7OokhPL2j0+1bg3mku3N5xBVUVRVCmzFetqPfXsSMOHJXx0p9FoPNldD7vyfkbfb2zuxI0WZQSdoLT9+p9ttS07ppRSU7OpPoRbnt2J579m7F3kNttF1LfgmZVz0NsfjuynteuC6WfV514mw88q8K6INk58WfT0haERVwCg64K5uAIMzLU1dU2258ktn7z8IjQ2d2JBRTGqKotc9ceqiiLc8XeTpDLd1AF1O6PymxaU4nTneRRmD8M6i5J/er8S4+e1aHFxXlmhqbeJHhmTcL8QyYISze5yiz7rT0E/7zW1ndN4r+iZMT4Y+XdZcQ4mFGTh8Jlu08/r0Zd79IL/fL3eVQlHkUxO2ecNp3z5ign43/fNfXTWfG4aikYNZ1Z+gkGBhRBCCCFEkkQICBN7eJ28x4+SVPE2KgeiA3jrd5/A798+6XiFeCyPKR4ZHKJeCHoD73llhZpsB4V5Zfb1z0XbZIZZkPa+5ZfjnvX7XGe5We1/bqkz8WiuoOikDqZ/bGy+9H7s+qPdXAoMljLzw7Nj8uhc7NVlr6gxar9df7AjrBIsm3wsa+MmIKisug6Hw5HrH8zOdJW1KWte3tsf1pSxE13UIJPhZ2egDQCj8+XL8IlgFRjPSNN6VwSzM9He3YM+1XcCAbHyQ3b8ed9AWau/nerAmzblFvXkZ2Xid6uqXJURPKYKnttlZjyx+ZDQNkX8SvrC0eKi0T3EqI+9UHsk7uIKYJ8FFUvU58lIhFXPm3ev32t4/jLSAlGlU2XEFQBI80GQ3OkiyxCQy/h1e39xy8V5IxyXryX+QYGFEEIIIUSSRAgIE3t4nbzHj5JUTrbptReB15lOsSzdFasVlUbIZtD88LppUavWg9mZ+NF103xvq9k1Xla9JSrQ63WWW1lxDuaXF0aMjdWY+SCImO6aiUYyfheAfX+UmUu9Kh+kNsAOh8OW5s1ejiejczo6zz9jZrd87ekdqG/qjPytBPnVqMUIu3lT1rxcfe5FFzXILH6QMdA2M7D2C33wua2rB3k6P6/K4hzsb/K2LJW+VJ4dyjlRhDAnZQTrm85G/i1TEkoUO78SO9R9RxEcN7wfG68VO2IhrgSzM9HW1WMrfpllzulF2IZQh6k41dsf1ozRa3+6Wbid6YEAAgHjsolucaqlJaKHiV0mqjqjjCQOdtl9hhw8eBD33HMPbrjhBjQ1DaQt/fnPf8a+ffs8bZyfVFdXY/LkyZg9e3a8m0IIIYSQJCPWvgfEGbxO3qME1PXlUNIDASyqLHb0A1Vmm61dF7BiXS2uengjbnxqB5Y89FesWFeLNslgkRolgKc3d1UHbGTx4zzZUVo0EksmlcQ8SPDYDdNRVVGkec0sg8Zq1bqfWF3jlq4eT6+9GQ9eOxVBXQZBMDsT//XlWYav//Bae9HJTDSadFFO1DYz0gJRJcdE+6PMXOpV8PXL8yZG+nNZcfTxKASzMz3t87c+tysqoO/UQycWHGjS9tGB/qz9jFqMsJo3zcaJGXlZmahtaMa/vLAbL751VEiIA8QEOwUZwS6W4ooRSim3H103Fbd9ohLPrJyD+RXOstcs9+MgkKw+p07KCFYU50T+bXZ/c4OdMCDKN5/fFennViWWUoHVSy/FUzfORs3qxfjr6iVYIBFw12d7KCKsgswYfe+UuOB32ehRnmcVOQpqq3CS8dsQ6kBNXZOnzwhq0m0KhJ7t7vF1/8QZ0hksGzduxNVXX42qqips2rQJ999/P0pKSvDOO+/giSeewG9+8xs/2uk5q1atwqpVq9De3o68vLx4N4cQQgghSUSsfQ+IM3id/MGPklSi2/TDU8evTKd4m6/HCtEMmniW7HOaVeFlltudL70btWq8pasHtzy7E2fPiZVKUmN1PmsbW1CzejGOtXRh15EWzBgfxLQx+Y77o8xcavZZGUYNT0M4HEZNXVMkg8VsxX1LV49nfach1GGYZZTIOA1VGs2bsuOkrbsn4tOwfvcJpNtEOtMDEPIr8UOwiyV3/Haw9NWEAn9Kl8mieMVMLBxpG7w1YtVVlZq/ZU3RRRHxK7FCJrvnwWun4qK8Ebb+PU79QgJwPj5FKMwZrinPp74PpweAFU+a+/TY+VnJiOqj87LQ0Cw2d+jvdV4ww6S8nBHKPet7yy53lPFr5QflpJysGX02PeeJzY14YnOjb/snzpAWWO68807cd999uP322zFq1KjI60uWLMGjjz7qaeMIIYQQQhKVoRI8TXZ4nbzHj5JUItv0K0DvV6ZTPEt3xQO7muROhCyvSsE5DdJ6leVmFbg3WnVv1aeVc3LKJquisbkTSyaVaMqIuOmPMnOp2+Dr2fP9mtJPU0bnWn7eKyFsu6S3RTJj1Mfcihl9NmkI6oCvWWm8ORMLPBfsvCANzrIsjkh6U/iF2itmQqG86POnd06iN9yPGeODWFhZHLm/bdrfhN1HW3FJ3gjc8RtzkUKUmROCjnyJlOsjI840d57HRXkjMDrfugTgZRfnYoeDEmYjMtPQ3eNVbk40Y4PR11F9HzYaN3b9WJlLy4pzMGdiELUG10I/Rp/4x9mWJRzVHPGohOS108dgQlF2pD9W/PufhDJjlHtWnsPMRz8W+Rgh46Xmx/6JM6QFlnfffRe/+tWvol4vLi5Gc/PQeSAhhBBCyNBmqAVPkxWvrpPXnh+pgB8mn1bb9CvT5KjNdo+1dLk6zniboSYKMkKWk1WiVmNUKTFllAWRkRZAOAxfs9ycBu7VfVrWfNxMHHLaH2Xm0sHgawi7j7agrasHT25plN6ngpXBPTAQ/FWv5HaO98bLXhAAkJ4W0AQQzQQKWeLlRWbW9r+daot67b7lU6K8m2LN5NG5mn6YobseZvghCTkVexSONMuLPmteq4v8O5idiWdXzsEP/7xfMx8p/j/6EnWiBLMz8eIt8zVzzN2/e9dQnNb77eivjwhrXt2v2bfewyQ9EED28DRH4goAW3HlmZVz0Nsfxt7jrXj4tXrp7dv1PyOh2y7bQ8kym1g4EnUfnDX8TN0H2vNcVpyD8flZONJq36+80khf2n088u8po3Mtz8Waz01D0ajhrp/fY5mFe+WkEuE5JhZZwEQMaYElPz8fJ0+eRGlpqeb13bt3Y8yYMZ41jBBCCCEkGWDwNDYYBU9lRA+n1ylW5QD8JFXEIb8yTezq0b/+/gfo7Q8n/fmLN3ZlptQlob7z8j7hVaIiY7Qh1GEanO3tD2P2hKAmiOa0Jrv5OHMWuFf3aVHzcbU45MfYF5lLZcUgt7xRH4r0HSf3B4VENbPPzcpEmy7TySuTaHUfc1pKz0vaz/XhjfqQJvPKyLsp1jz2hRkAIFR+yW9mTnSW5aHgNsbd0tWDZdVbo4LlbV09yNMJ2aJBYmW7SpBYGbOPf3FmlEigzO9nui5EhJhwOCycRWFEe3d022dMyHd1nq2YX14Y6eMTCrIdCSx2zzxmovj0779muthApF+3dfdGjdHff2uhLyXjRNhnI6ztO9GGKz0Q4P1a5GNEQ6hD2qsmXmI5GURaYPnCF76Ab3/723jxxRcRCATQ39+PLVu2YPXq1VixYoUfbSSEEEIIIUMUo0Dd/PJChMPAtobBVY1+iR6xKgfgB6kgDqnxy1PHrhTDL7cexi+3HgaQ3OfPS5wG7o1W1M4tK0BPX79tcMxslabIGLULjHT3yNfXVxAZZ3NLCyy3ofcd0Pdps5WzRlRVFOG+5ZdjxbrauI19UTHIK061n8eNTw0EBueVFSIQgGbVu+ix+1fMR57VSy/F5WPykB4IaMo7ifLAtVNxcd4IjWBpN28mit/J6+9/EAneyvR9M2aMy8eh5s6owH9ff1hKbFAC/zV1sTdPX1k1EQsuLcbEwpF4s6HZt8C/KEbB334gKnDvNkhsdYXUQkxDqENqP3r6wtFtb2q3LsMoSmVJDuqbBtunzEdu0JfpskJ/nqwWG4iy60iLRmDRizlN7efw7d+6Lxkngl2rvXqG82uRjxFOxG4v90+cYWNDFs3999+P8ePHY8yYMejo6MDkyZOxaNEizJ8/H/fcc48fbSSEEEIIIUMUo0Dd1oPNGnEFGAyoeokS2NHXfVcHehMZq8BzsvLYDdNRVVGkec2tp86Vk0oQFPyxnYznryHUgZq6Jk/6a2vXBaxYV4urHt6IG5/agSUP/RUr1tWiTbB0j1Gw7P2T7djeIF5Cq7F58DhEx6hdYERfWmZTfQhff26nUHtExllZcQ5mTQgafn/62DwsqCjWvKbv03bBlgevnYqnbpyNmtWL8fTKObhnvXkGkJf9wQizaxIrtjU0R5UUEh23XgoMK6sm4qkbZ+Ppr8529P0wgCWTSnC81VlWyRVlhVgyqQSlRSOF501FxNab0KcHIDxHekFRzvDIv2UDjRm6CFcwOxOP/sN07L53KZ5ZOQe3faISz6ycg533fEITILZDPe/EQ4j6yCW5kevpr3V6fNEHiUWfY/zwTzrskX9Oj405kZNg+vsno0vpAfb3e6+y1GaMN76flRaNxJJJJSjJTcxsQDf3QfP5MYBFlcWeZo/IzDF+7J84QzqDJTMzE8899xy+//3vY/fu3ejv78f06dNRWVnpR/sIIYQQQsgQRWblqh81iGNZDsBrYlkrOpb45X30yqoFuEagxn8inz99VokfGUxuM7qMvi/rqzCxcLD01QcCRu+KYa+h4W/A3BR568Fm2+ssM86G6SO/H5I1PMO2T9sFW+aWFdpmuyhtUmcKOekPdtlLiVBmSo/ouDXrJwHIh7QrLxoV8YVxtM3wgBfC6bMXLPej345RZorMvGmUZVZVEV2S6V9/vQe7jrRats0pHx2XH/m3rJjRq4tlt3f34u71e/H0yjlYWFkcEVVau6zPqx514N/K08kv9p1ow/UYBwCYW1oo/L2MtOhzAgB5WZnoONcbNyFUj1G/tZvLNu1vQl9YuTaJ6Z8EAI3N2jlxU30Itzy7E89/7QoADla9Azh7XltKT/R+75U4ODZovZ0mm3tzvHB7HzSeH90t8jHC9JkFiCpl58f+iTOkBRaF8vJylJeXe9kWQgghhBBCIjgJ1HkpesSyHIDXJLM4JILX3kfjCrOx+96leKM+hF1HWpAWCODh1/abfj6W588uoG0WWOnt78f2hjOaz7opb+dWtHNb6ic9EMDcsgJ85+V9jozejQIj5cXa0i16tjc0Wx6T6DhrCHUYGjUDWiHHbF8y5fFk5k2Z/uBHAC89MOAvog4W5Rn4jXhFY3MnwuGw5Xgy6icVJSNR3ySX8TMmmGW5zSljcvHucXPvgIc3mM8/amZJ+AeJzJtWYkxedmbk30/94xxDb4yevn7UHjoTJSalS3hxyJaVskKmtKAZ88sLowL/sRRXAG1WT1lxDuaXF5rOKWqMxBUAmHRRDkZkZriak9PgXVk9o35rN5ep/UIqS5LreWZbw+C87/Qc/m7X8YjA8vVnd0VlduuFHGCg78wrK4z6rCzVf6nHQ//nY6bvv+lDRpEZbvuhzH3Qr0U+RhjdNxYY+A8l87N8qiEtsNx+++2GrwcCAYwYMQIVFRVYtmwZCgqs68wSQgghhJDYkYxG505W2nkpevjl+RELklkciifKCueGUIelwBKL8yca0DYKFG6uDxkGHNxk4LgV7dxmNlRVFKGnr1/a6F3BKDDyZkMz7nrJvE68XZhXdJx5IXiKrpyVmTdl+oNMAM943owWU4wyIwqyhxkG7r0wT177lwMaMcJoPBn1EycG2mqRwGibjc2dEd8Yp8wrK8TzX7vCl2CfkRijf44wCjS2dfVEXb/87Ey0S4hm6vnVq4wo9RiTFXuVbiyaOecHn5o2WvP3pJKRQgKLGbWNLahZvRhHz3Ri99FW7Dvehtfek/OWyRmRgfZzvY7boPYJMuq3MnOZrACaCPzhneOYMiY/quSUKB+0nUNNXRPSAzAVTNRCjoLD3Wk4YON50+GiX8gyeXRuVJlPGZw8F3m9yMcIUf8hkjhICyy7d+/Grl270NfXh0mTJiEcDqO+vh7p6en4yEc+grVr1+Jf//VfsXnzZkyePNmPNhNCCCGEEEGS2ejcLFBnhF+iR6zKAXhNMotDiUAinD+RclxmgUK71ZxOMnDcinayNcWrKopw08KJ2H20FTPGBzEmP0s4yJ2blYH7l08xfE8dmAjbzCtj8rNQU9dkGgAU7SdeCJ6iK2dl5k0Fu/7QEOqQCuDdt/xyLKveohFTcrMy8cqqBegNh6Pa39x53vY4tx9sxud/8abQ8ehJDwSQm5URVdJKGU/fvWZy1AIEfQBLdtV3Rlp0FFOm79mhNsr2O9hm9RxxpLkT7xxrRUZaAKVFIyPX79rqzXj/1FmUF47E3lNnhfcVVGXJAN6VNHIj2mxraMb1P9saN2P5GePzo67vU9uOuN7uN3+1y1FgWhlP7d3uguhjg1mWPjhO5jIZnlk5B739YaQHtNkwseLh1+oj/87LykCb5Pnc0tCMLQJz0puqTEyrbEoZZk2wXlA/dWw+NrwvJ9jJsHrppbh8TJ5jAdyIRMvsdluSlcQeaYFFyU556qmnkJubCwBob2/HypUrsWDBAtx88834whe+gNtuuw2vvvqq5w0mhBBCCIkXyZgFkuwP6EYCx/zyQoTD2hV7fokesSwH4DXJKg4lCvE8f6LluJyu7jYK/trhVnSSyWyYU1qA3v5+TdBryphc4baqfRfs2mRWkiojLYAVT9ZG/jYTpkX6iZeCnUgw3ahNVtgJPNsPnbF8/01dKbV71u+LCr6qr4nyWavAvV6AmHTJqKhMFqN7wbyyQgQC0AQRZ0zINwyOy9Tj/9mXZkqdU7syV06Cx3Yr/v3CLHtpxv99DX2qpgezM3HDrLFYu+lQ5DUZcQUY8GRSC3ZlxTmYNSGItw5HXz99aaCMtAD6w2GNr5J6jCnPcO8dNzYIt2Knwf5jhq57/P2P3QeTAeA9h6v+zcaTLCKl4GTnMtn9L5lUgpo6/4QAUWTFFRnUd3uvMsKqKosMX1fG2MfG5XmyHzM+NW10ZI54oda92Aho/d3i/azvt49iohxnqiEtsKxZswYbNmyIiCsAkJubi+9+97tYunQp/vmf/xn33nsvli5d6mlDCSGEEELiRbJmgaSC0bmVwBFL0SMZ0/GTWRxKBOJ5/kRLSjkxxwWcexy4FZ2Mvj+nNDog/rdT7WjTeRzIBANlfGHM/D7058hMmBbtJ7EU7Iza9J2X9zkWeEJnrUsiNXcMZqDI3HeMFwCEsPihGo3gZuYptL3hDKoqivDD66ZiW0MzqsqLcP2sASNwp+W4zK6zVbkWI0REzPuWT8Gy6s3Cfh5XlBXGfA63yl7q052Slq4ejbjiFL1XzgETnyR9pl5/fxhpH4osCrlZGfj2JydhxbpaV0F6D21hpNl1tFUzbv72gXV5JlFkfCtunD8RLd0XUFVehKJRw12XtwPExogyl23aH8Luoy1o6+rBk1saTT+fFhC/VoqwvO+YvOCWTMwtK4z824+MMMD4d1KuyxJyomx4/wPL9+eXF+DmReWW90Ejf7d4/s7zy0cxWX/PJgvSAktbWxuampqiyn+FQiG0tw889Obn5+PChQvetJAQQgghJM4kaxZIKhmdGwkcySh6xAOz88QVbGLEo5+JlpRyauzq1EPGrehkFfhXYxRwVoJmMoa2bzactmynzGpeO9HGruRTPAQ7dd91I/AUjxph+X6hyoBb9L5jLsREX387TyFlO+t3n8AP/vQ+Xlm1wHE5LrPrfPPTb0mt2j/W0h31mn7OvWf9XuEyS/rSWVbb9RK77CU/0HvliNKPAZFFTXt3L760brvjclZeGrm74Y/vnMA3rqoEAKSnAf0xbtRTWxsBDIyxnOHplp+9fuZYHGvpwpj8LPxm13HTz4kI/UYBYUskhLC3Gs+gtGgkDpz2RrBKRAay/MKRUpdlxTmYX17ouEyYmShv9Dup83wvgtna7NTZE4OeZD+pf7+MC1o/L33k4lwsmVQCwPw+aOTvFs/feX75KCbr79lkwVGJsK9+9at4+OGHMXv2bAQCAdTW1mL16tVYvnw5AKC2thaXXnqp1221pKurC5dddhmuv/56PPTQQzHdNyGEEEJSl2TOAqHReexJBtGCK9gSH6+8PfTBQa88ZNyKTsr3Zc2mATlD27te2hv5t1Efd5IBpBemZcdTvITh1u4LePd4q+a1d4+3or27x3bczy21rrd/hcQKaeW+IyNuycSSW7p6cE31Zvz26/Mjc7ET9KboskFB9dp8oz5iVvbKDH3pLLPtej+X+5O6EfzQ+L5PV84rZ0SGI3HFjL5wWDhDyIgZktfJL55783BEYPnyFRPx5IeCRzzoON9n+f7fT7sESyaVoCHUYSmwiIxNo4CwFTJzxZaDp3H9rHGoKMqR+JY48RbnlBKK+hKI5y5YXz8rAgHgzk9O0rwmI5ZnZWZg9oSg6zGuzn76yMWjLD972SWD1ZeMFjqYebg4+Z23sa4Je44N+MYp/kJOfhf44QOYzL9nkwVpgeXnP/85brvtNvzDP/wDensHVgFkZGTgK1/5Cn784x8DAD7ykY/giSee8LalNtx///2YO3duTPdJCCGEkOTH7sE3mbNAEsGoe6iQTKIFV7AlB8ZG4VrzdqsxPresABlpaQnpwaPMux+0WZeeMuKxL8wAAMvSV0YY9XEnwS99UFB2PBkFYGLBcl1fAgbFiN33Wpf3LivOMQ2KzZ4Q1NxLrFZIzy8vFBYH3dDS1aMJmMn49yior/Mf3jkh/f0xwazIv436yC4HAUb980Ys5vK5pYX2HxJkdO5w3H/dNEwsHImC7GFRK8m98vbwkuxhGZhfXojtDWd8MVoX5UzX+UgWwiSbgLIofgkAythx+wwqI8DnDE+3FX70VJUP+IgUjhom9T1RYi3OzSsrxA+unWqZHWqWDShKb38YX1y3XXPPkBHLtxw4jbllBVF+WmZeaFbtUDhlU8LyRFt0NqF6oYOdB4/I77zDzZ1R99i8rAxMuigXtY2DWYAyvwu8LiuazL9nkwVpgSUnJwe/+MUv8OMf/xgNDQ0Ih8MoLy9HTs6g6vuxj33MyzbaUl9fj7/97W/4zGc+g71799p/gRBCCCFDHtGAeLJngdDoPDYki2jBFWzJg51RuILVGM/LzkwoDx7pci8q9EE5q9JXRhj1cbdBfpnxZBSACWZn4pVVCzCu0D+xARgQdcxW8bd09eCN+pCt2JOZYZzvY/S6WRw6XvFpWTPveTqvkzOd8hkQbx9txcLKYtM+4lbci9Vc7rakkJoJRSMjpXoON3dGZVTtc2i67idbDpzGnNICVFUU+WK0Lsr5XkR8T/KypMN4GswEeKOsIln0peys7k9mC5yU109JCPBdDrIyFL8mbb6Zc+aXF+KWK8ux+2gLZowPorc/7IlXjSiBgH12qBeCmv6e0SRxnfrCYWw92IzZE4Oa1ydfkhvlxWZFeiAQERw/Njbf8rMzxgct37fLZBXxCjJawNDW3asRVwC53wWD/kNN2H3U/aKMZP89mww4nplzcnIwbdo01w3YtGkT1qxZg507d+LkyZP43e9+Fyk1prB27VqsWbMGJ0+exOWXX46f/OQnWLhwYeT91atXY82aNdi6davr9hBCCCFkaCAaEE/2LBAanftPMokWXMEWe5yUh5DpU3ZjPJG8ikTLvaQHgNwsbe12M2FYH4RICwTw8Gv7Tbet7uNOgsfq78uMJzcZJG7Zc6zV8v1dR1oMAzdK3023CHxtPdis6Y9WpujbGgY/K7Pq2e1Ke1n/noAunnZWYmW1wumOAU9au+OUMeVWE8u5/PEvzhQSMe1Q97FlP92CVt15dRIktyM9EMDI4emOzbb7wmFsa2hGzerFAOQz5/ygzaGfjEIgAHzrqgqs/WuD5vUJBdkD5RddHJO+lF3YoMRcb38/bnl2p2aeWFRZjPuWX4571u9z1M+ceHS9UHsEp86ewyW51h5Touw93oYVT9ZG/p41wTqw7zVbDzbj+7/fh/dPtmN0fpb9F1ygvme8f0peGNVnqm1raMa8skLUrF6MxuZOpAeAFU+ai1Pq87yoshgZaQFDT5+MtIDhve37r+zD1obTWFBRjKrKIsu22nkFWS1g0CPzu8DrzPhk/z2bDDgSWHbs2IEXX3wRR44ciTKzf+mll6S21dnZiY9+9KO48cYbcd1110W9/8ILL+Bf/uVfsHbtWlRVVeHnP/85rr76arz33nsYP348Xn75ZVx66aW49NJLKbAQQgghRAjZgHgqZIEkUpA11Ugm0YIr2GKHmx/HTvpUoo9xmXIvVRUD5+lM1wVbYVg2K0bfx2Vjiervi44nLzJI3CC7wlf2nDoRnWSyh2R8d7zYjl40OhiSN8H++GUDmRp2xzlzgrjps/o8x3IuNxJxv/2bt1ErWc7r6qmXABgYD3pxxS/6wmH0euAI39jciSWTSqQz5xKR3v4wvvDE9ihhb8+xNk+2r+6nRqK6kVi75cBpLKveEpW1KYvMXPHtl951tS89ehFv15HYl7t7cktjTPaTmTaY91Ew0psSa4rgtmRSiW3ZLjVWZc96+8PYtL8JfeGBObH+VDu+9uyuyPt/O9WBJzYfsty+3Vxqt4DBCJHfBX5kxqfC79lERlpg+Z//+R+sWLECS5cuxYYNG7B06VLU19fj1KlT+OxnPyvdgKuvvhpXX3216fuPPPIIVq5ciZtuugkA8JOf/ASvvvoqHn/8cTzwwAN488038T//8z948cUX0dHRgZ6eHuTm5uLee+813N758+dx/vz5yN/t7YmXhkoIIYQQf5ENXlqtEE8GU3PiL8kkWnAFmzVejmc3P46TqU+JYjfvPnDtVFycN0Jz7vN05WaMEM+Kie7jVtkWIt+3G0/hcBg1dU3YaBMsMssgMcJJH71yUglyR2QYruLPHZERtW9ZY2knopPdubtpYannpXbU/j0ftJ3DnRYBVvVzQPGo4VL7ycvKxJj8rEgJm3llhYb9bF5ZIZ7/2hWRZ4umtnOWQV91qZp4zOVqEff9k/JxFOWcygRPvaDrgnuBZWLhyCj/JPVz4d5jbXh4g3nmXKLhJGtKFGWMy4jqfeGwcBaAFVmZ6a634RV+nuN406MSLT89bTQe2VAv9L0AYJDTNMibDc3SArzd6LbKhLEjP8v+GeTiUfIZUHbPcH5lxrOqgb9ICyw/+MEP8OMf/xirVq3CqFGj8Oijj6K0tBT/9E//hEsuucTTxl24cAE7d+7EnXfeqXl96dKlkWyVBx54AA888AAA4Je//CX27t1rKq4on//e977naTsJIYQQklw4DV6qgwvJZGpO/KWsOAfB7EzD4IC+HnkiwBVs0Xg9nt3+OE5FIcxu3r1C53shgkwALzcrA/cvn6J5TaZMldkYMRpPc0oL0NvfrzFat8KuRjzgvo+GTVJ19K/LnFMnopNddqhy7tQlYPT1+vWs+dw0nGjrxiV5I3DHb6xXpas9CqxQPwdMHZuHDe+LiQIDxsajNNc+d4Rx2KXvwwis0iY74UFfqibWc7ki7jW1n8NZSUNxAHjveBveOdbquFxXPFn2082adiv+Scq1m1CQnVQCi1+o/Ytk5lc7rps+BifaujE2mIUXdx43/dyOGJrKD2XU96yy4hzMmVgQ5TcCIErYryjJQX2T+dyrSMhm95FY09rdY/u8VpInLrCIPsP5nRmf6BnPyYq0wHLw4EF86lOfAgAMHz4cnZ2dCAQCuO2223DVVVd5Kl6cPn0afX19uOiiizSvX3TRRTh16pSjbd511124/fbbI3+3t7dj3LhxFt8ghBBCSKrhRfAyWUzNif80hDosy/8kkgcLkNor2JxmoHg9nr34cXzf8ilYVr1Z07eMRIJkwQ/RSCaA197di7vX79VcTzvR55mVc9DbH7bsT0bjSfFnECGYnSmUveKkj0YC4m3mAfGz5/s0Jcr8Ep2MPit67nYdbkV+VqZhWan55YURs+rna49YtldZHQ3ICuPWJsfXzRiD8YXZmDE+iF9sOhTVfjNBobbxjOb+ILv4I1ZzuWzJODPWWHgjJTr6a9jS1YPP/HQzXrp1fuSeY9ZHhxJq/yI783AZfrvbXFQhscXonvWLFbOi5nxlAYC61Gc4HLZceDA6f0Qk88/oGcgKp35WdmxX3TeMkMm2ERXAUzGLeSggLbAUFBTg7NmzAIAxY8Zg7969mDp1KlpbW9HV5Z1CrSagc5kLh8NRrwHAP/7jP9pua/jw4Rg+XC7FlxBCCCGph5uVn8lkak78J5k8WNSk0go2N6v7/RjPXvw4vmf93qh69EYiQTLh9Yp7mcCG0fW0MrmfX14o5YuizowQDUQrq+DtkO2jsgHx199vihyrE9FJL2zKltW0O3d94bBp4DocHtzm6bPnLNuujiDICOPFo6w9BmZPLMA/zBkvde0VtutEHycipN9zuWzJuKFCa3ePcJbaUEHtX3SirVv4e34Fx90wxSPvp1TC7J5lNec3d56P+rwZ6nJewexMtAmIK+mBAOaUFiAzPc0XT6RQh3X77ebt7y27XFoAt9vmkeZOvPL28Ui5QpIYSAssCxcuxIYNGzB16lT8n//zf/DP//zP+Mtf/oINGzbg4x//uKeNKyoqQnp6elS2SlNTU1RWiyzV1dWorq5GX598aishhBBCkh83Kz+TNaBO/IErzeKPmwwUP8az22yNVBVxZeddPzyu9NfTrPqI06okdv3pq1UTcabrAqrKiyKZF263qT8m2YB4Uc6ggGDXd9XBHDthU7asppOSQtsamoWD3HPLCiN96oM2azFGfU7nlhZafnb0h34rp2y2acT+D85q/k60Eo5ORCM3jBqRgbMGGT/zygrxg2unDnjVtJ/Dt3/rrUE5ESdneDo6LErEvdlwGo3Nndh/yroMnxrrHLHYEMzOxKP/8DHsPjrgs3OspQt3vbQ33s2KO//2d5eivqkj6p5lJZYDxnN+ZUmO8H5FM1eU+TEvOzPybJEecOe9oiGMSFaN2XOI1bwt4iUnus2ZE/Lx9rEWfOWpwdcU0WtcofiCE+IP0gLLT3/6U5w7N/DgcNdddyEzMxObN2/Gtddei//4j//wtHHDhg3DzJkzsWHDBnz2s5+NvL5hwwYsW7bM1bZXrVqFVatWob29HXl5eW6bSgghhJAkxcnKTwbUiZpU9MsQwY/gt9N2uBEj/BrPbgKlqS7i2s27ohlJTgLy6utpZXK/raHZl+ylJ7c0AgDW7z6B3799UijLSqaPOgmITxubrwkgifbdrz+7K+r8baoP4ZZnd+L5r12heV1EBJXJSHLCHS++LezRIDPu1X4xsqgzcJTzL5P9Y4ZX87OXPhoiGIkrwEDpKfW88eD/+5snpuhEjJsWlGJUVgZmjA+ivz+MrzxlHrx2Ikr0xTl7JT8rExXFOZqgfGVJ8t5jvWTNqwOl/ZR71n3LL8c96/fZ3p+N5vwDNt5XTnj3eCvau3uQl50Z8RQbVzDSMw8XtbeSWWa0H+UajbZ57dotaOuOLld4TfVm7L53qav9Efc4KhGmkJaWhjvuuAN33HGH4wZ0dHTgwIEDkb8PHTqEPXv2oKCgAOPHj8ftt9+OL3/5y5g1axbmzZuH//qv/8KRI0dwyy23ON4nIYQQQogbhmpA3WvcBoASJcAPJN6qYz/x2hDeLW7FCL/Gs5sf3Iku4vo99kQzkmQC8kbX00nfsTt2GXNe0SwrmT4qGxDPHZGhEQiUsWzXd2XEKTsR9Kd/qceB0MAKaT/ZKSCueHFOZXjr8Bk8tbUx8rdy/mWzfxS8np/9Fr1E2XqwGZv2N6EvPDD/PfvVuVi2dgt6dXWlErHUVCrQ29+PaWPzMTaYjTdNxr0XBADE4/IFAtHzQ31TZxxa4j/pAeeC1pYDp7GsektU+VLlXvbdaybj8JkupAcChnO+H371ih/StLH5mn3OKyvE3LICwxKgTrG7Z/tRrlHZ5sa6JsuylmovNRIfAuGwXBdPT0/HyZMnUVJSonm9ubkZJSUl0iW3/vrXv2LJkiVRr3/lK1/BL3/5SwDA2rVr8aMf/QgnT57ElClT8OMf/xiLFi2S2o8ZSgZLW1sbcnNzPdkmIYQQQlKftq4eU0PHeASZkwm3AaBEC/CrSUXjeD0r1tWaBnrj4Q3SEOqwLBFUs3qx7bVIxPGcaOcZiM3Yk72exucJyM3SGpgbtVNmXzLHbtSfrPCyj26sa7JcXa4mmJ2J9u4eTbBNtI89X3sEd71kXqbpgWunYm5pQaQc150Wn00knPQTOzLSAlFCAGAe6JxXVqjJAJKZC/yYN6756Rt451hieVEo/gz98W6IAGlAUrRTlMqSHNQ3eZ+JAAAFIzNxppOZSWpGZARwrpeqoR16cU7vgeLlfUjknu01j76+Hz/eUG/6/m2fqMQ/f/zSGLZo6CCqG0hnsJjpMefPn8ewYdbmb0YsXrzYdJsKt956K2699VbpbVtBDxZCCCGEuMGPdPChgkxZGSPc+G34TSoZxxuRiN4gXmSgKON50/6mSP31eK8ETMSsqFiMPdmsEuPzNBAkP9N1wXJ+luk7dsduVebpVNs5SzFCpOSb6D3Hzlh69dJLcfmYPKQHAoalrcTHsvVv+Cc3H7I85kTigWun4uK8EZpzurGuCXuODc4FbsrNzBgfRN0H7ZrSLrkjMtBuUg5LnQEkM+f6NT8nmrgCiPszJAL9sL7eycZBH8o8KQSzMvHV+aXYcvA0xuRn4Te7jvu2r2RhXMFI3wStREY2m0n/WWXeA4Alk0rQYNNvZbLf4lGm9eJRIyzfH52XFaOWEDOEBZb//M//BAAEAgE88cQTyMkZNCfq6+vDpk2b8JGPfMT7FvoEPVgIIYQQ4gWpHlD3GreeB4kY4B9KxMMbRKQclVsxIhGzohJNxI3V2EuzeT8jLSDsWSFiLmvVd5T9pAdgeezX/2wrdjQOlpfRl3myC+zIlHyzL0BhbRddmDMcSyaVoKauyfJzdmPZLphzIIkCgleUFUaO9XBzJ5ZXb9EE8IPZmXhu5Vw8+GfjfmDHzsMtqKoows2LSrHrSMuHBtrdlgLUmw3NKC0aKTXn+jE///R18xXTfpGKZb7GF2Rj74nEE6qc4Oe1OXi6Cw+pPC9kWfO5aag7dRabD4RQPHI43vCwPFS8OJhEc6mXpJtk/skiOu/NnBDU3MetiEeZ1pI8a4GlaNRww9cTqZxyqiMssPz4xz8GMPBA97Of/Qzp6emR94YNG4aJEyfiZz/7mfctJIQQQgghKcP2Q2cs31eCSmakuvl3vLH7IRZLbxAZ0cOtGMGsKHtiNfbsSun88P/9TROoNPKsUBAJLBj1nWB2plSJL33tfn3f8SLLSnQ8zC0tMPp6hCvKCgG4H8t21ykR4+NmJWTU518vrgAD2RJfXLcdu+9dGuknZhlARihC3PeWXR7JjHu+9rBtWwG56+TH/PyHd09If8ctk0fnYu/x1BAjFFJFXFEzZXSu5rgSoWzbrIkFuH7WuMjfZXf+0XF74uUHoyeVysvJ4IW4AgzOe3bPMN092upGViU0w+EwauqahJ41vRI4ZOf3RFw4lOoICyyHDh0CACxZsgQvvfQSgsGgb40ihBBCCCGpivUPJuu114lv/p2siP4Q88sQ3ggnoocTMYJZUWKIZJZ4gd0Yf08XqDTqE04CC+q+o/hYiKKPAxn1HbdZVl6LgG7HslPzc6Uc14/+3/t4/5T4yuyKopE41NzlqESXwqyJ2hXK+vMvaiKsnJtZE4J467DYimdAK0Km2dztznReiATw7K6TOoAne03tgn8XemMf3n3shhkA8KGQBax4UsxTKBFJxWwchazMdM3fl12Si3AYplnKsUAv9GcNT0fneWe2AMU5w9DUccGrphGf0Y81/bwn+2zR1tWDvGytl9uc0gL09vdrPLnMni2snkOaO89Liy6y9+xEXjiUqkh7sNTU1ET+raQnBwLePEzHEnqwEEIIIYTEnrmlhdbvl1m/H8sA/1BC5odYLLxBYil6MCtKDLswq1erTc3GuBI80bfDqE+4CSyY9T0j7Myr1X3HTZaV3XjYtD+EvnAYEwvlSkq5Gct218kMpRzXK3tOWAosxSMzca6vHx8bm49nbroCbV09UW01WmFsRl5WBl68Zb7l+d9zrNVyG7uOtGi8mYZl2MmOWtQLAE6dPWf52R+9Whf597yyQswtK8BWVbmjqooi3Lf8cqxYV6s5J/PLCzGntEAT5Da6pnYipCK85Gb5s9LZKNtBfR/fWNeEdz70wHHjfxNvyov9M4SPJ3lZGdh1pFXz2vaGM6iqKELN6sVobO7ETb/cITQ2vWRi4aDg2NR+TlpceWblHPT2D8yl//n6fvxud+wzuIYCOcPT0eFQ+DIje5h2m7lZGbh/+ZTI36b3LAzcx/X3rX4MCOvqPvGdl/cJP1sYPYdsrg9h8UM1GtFGJqtE9J7NhUPxQVpgAYCnn34aa9asQX39QD3OSy+9FP/2b/+GL3/5y542zk/owUIIIYQQEnvKinMwv7xQEyhSmF9eKPTAn4jm38mM7A+xcAyKZsRS9GBWlBixymABgDv+7lIsP3hak/Bmt3WlT7gNLNj1PTWXj8nFuxaljIzOiZMsK7s2qUtVTRmTa/lZdZvcltYzmosXVBSj60KvYWbHPJXXyfKPjcbvdpsbWIc6BwJQbxxoxop1tXjshulRbS3IHiZcyq2tuzdy7c2O8WNj8y23MWP8YBWPhlCH4X3MCKMFAHaGxWpqD2kD18p1Msq00ge5za6pmQh5y7M7kZme5shrxo41n5uGolHDTa9dVUUR7vi7SZj+/dc0Acj8rEzMGJ+PHRLZQvHkR9dNxcn2c5gxPojdR1rwyAZ/fGzimR3T1t0b9ZreVLx41DCcao9NBkh6IIA5pQX4zsv7HPVdZYyOyc+KzLfLPzYmJQWWjDQgDolpGrwWVwCgS7fN9u5e3L1+r0b4uG/55VimKwOZbSP29PaHsWRSidSzhdlnFdFGjd3iD3WWYVCwtBcXDsUHaYHlkUcewX/8x3/gG9/4BqqqqhAOh7FlyxbccsstOH36NG677TY/2kkIIYQQQlKEx784MyqwoqzgEiHRzL+THdkfYrEoOxBL0YNZUWL4ncGiDiJ8cd32qO3ZrYRODwRQU9eEU23WmQFmgYWNdU3Yc6wVl9gYyapXszY2d+LGp8zLF3mV1SOTJ2HnXWHUJqc+P2Zz8Rd+8abh5wMB7XXOHZGB9nPRgVo9m+pDuOXZnXj+a1dEqmgY7f9U2zlL43i7oNKVk0oQ1JWEUQhmZ2qyV2SEOGUBgPrY7QyL1egD14C9MK7+rB6r725raIZTrdSuZNqsiQWa82/Ud/TiCgC0dvfgQKgjIhrtPd6Kh1/zR7RwS+6IDNzx28E+WFmS49/OEjSh5/dvH0cYwCV52TETWKoqitDb3y9V2lFNIACc7b4QVfopPWB/70k2evsRNfdmpAXQ1x+L5TP+IZLdes/6fWjXiYN6YUaPqIeL+v4ic38wW/xhlGWoZG2qMXr+5sKh+CAtsDz22GN4/PHHsWLFishry5Ytw+WXX47vfve7FFgIIYQQQoglXgkkiWL+nezI/BCLVdmBWIsezIqyx68f7EZBBCv0xsNpGJhTRA3H9e083NxpaGxuxthgdqT/rXrmLcvPPvznv5kGuWXwcrGxl5lGCuq52CqzY+vBZk0Ac87EAtR90G64Gl7PtoZmXP+zrRoPFUWYV/a/sa7Jchsix/7syjlYVr1VI0RlpAXw3Mq5AAaFuAybMunqbI1gdmbU/DJrgryn7ZsNpyP3TDcrlO2+K6oLTh+bh0f+YXqkTXaCo1Gb1H3HzgPnWEsXlkwqkRIcY41eMDzoY3mwRDU/9ytjR49a7A6Hw5q5RZbe/jB2H2vTvOZHFlei8OgN0xFqP4etDc2oLB6FNa/V2X8JA3Nub38/tjecSZqSfXbZrco4cuvhon62cOJRJrKYyWh+NHr+5sKh+CAtsJw8eRLz58+Pen3+/Pk4efKkJ42KBfRgIYQQQgiJLxRIEgOZH2KxLDsQS9GDWVH2+PWD3SiIYMUlecNxou185O88gxWdRpi1U0ZcAbR9/JDNeDh4ulN4u1Y4NZQ3wqusGjNkVu7uPNyCqooi3LyoFLuOtKCtqwdPbmk0/bw+O0K/cteLLKv7/vi3qM/19ofx7797F4fPdAn3laJRwyPimlEpr11H5Mtd3fXS3si/7QQaK8HTq/6kBKSV4wzbBFztRFhRD5xEFRaMSKa2JhtK6SYAqLERV4mWtX854Kjk3rvHW/Hcyrl48M91SSNAKcK63b1p8uhcTQao/nlT5hnI7LNWiCxmskL//M2FQ7FHWmCpqKjAr3/9a/z7v/+75vUXXngBlZWVnjXMb+jBQgghhBBCyACiP8RiWXYgHqIHRT9rvP7B7iSI8IW5E/CpaaPR2NyJ9EBAOHPFqJ1WK+bNUPfxyy4ahV26Vc9qLr/E2g9FFCfBGjP8Lg0iE7xXVt5+b9nlWFhZjOdrD1t+Xn/o+pW7buenhlCHxhxezR6L62y1L9NV0y51rt1HWj8sF9MrLXjamT3L4KWobueBkxEI4NHX9+OS3CxP9keSG3VGmpci9FDAqZ9RS1cPPrt2M3ywUPGN4y3dAOz7yGM3zAAAy+dNu2cgdRlIo8/mZWUYZmyq/ckAuYUKCvr7GxcOxR5pgeV73/sePv/5z2PTpk2oqqpCIBDA5s2b8frrr+PXv/61H20khBBCCCGE+IjoD7F4lB2g6JE4eP2D3UkQ4VPTRkf6hN2q5QevnYqL8kaYttNuxbwaoz7+0jcWYOKdfzT9zm9urRLevhF2wRor9KXUvBqj6jbJzBFWKEH6uaWFjtqkfP9P71hX1Ph/757ErUsqTN/ffuiMo/2r0Z9nJ31chL5wGC1dPZg9Magpm2bk9yIaKFxQWYy3j7WiTSAjTOH02cFsMrcZjldOKkFGWsA002jNa/uF26UQTyN44i9K4BwYmHdybMzKiTck2inW3+v0KO+JPr9azVFmz0CtXRewYl2tobfkma4Lkc/e/bt3DUto6itOygiGdvd2PkPHDmmB5brrrsP27dvx4x//GOvXr0c4HMbkyZNRW1uL6dOZakQIIYQQkojYBVtSiaF0rF4j8kOMZQdiSyL2Z69+sMuuOp6jM8m2+/5c3apQPXYr5tWY9fF/W3qpYeD335ZeKrxtYNDbY8b4IKaOyYvypdEHa+wM3S8fY13uRBYjrxylTXnZmZrPyopBykr0suIczC8vNPVwMUNZubvloHWpuTfqQ5YCixeu4blZGbh/+ZTI336vrL91SUXE/8TM78XoOhkFCp34WOw70YaiugGvGS8yiLwuYUdxJXWpO3UWj76+HzPGBzEmP4viSgqweumluHxMHprazuHbFvc3NTMnBKPKR6oZk5+Fmrom04UKTu6N+megrz+7Kyr7cVN9CLc8uxPPf+2KiAeMlT+Z3kNl+vh87D7SGvXZ3BEZGq8nPn8nDtICCwDMnDkTzz77rNdtIYQQQgghHiMTFEt2htKxxhOWHYgNQ6E/W5UqysvO1JTvUo5d5Pui2RpXTipBULcfhWB2Jl66tcq2j6+6qhKrrqrE59Zuwb6T7bj8klypzJXDzZ1RPjAZaQH06SLDar8RJVhjxWM3zMDRM13YfbQFM8YHsbCyWLhNRhh55eg9UBSUOWLT/hB2H21BW2cPntzaaLpt9Ur0x78401AgMMusCGZnRq5NVXkRtjWYZ6HYnQOnGTRq2rt7cff6vZFzYtrHPcqsUPqmcg6M/F7MrhOgDRQ68bH45dbD+OXWgdJuiyqLkTsiHe3nogPdeVkZtuPRr2wfkpo8pZpThqUHzD9IkobwhyL3JfnWZQCfWTkHvf3hyPz30e+9alh6KyMNmjKi88sLo0pNusWqtOS2hmZs2h9CXziMD9rOWW5Hn+H3ztFWw891nu9FzerFfP5OQBwJLH19fVi/fj3ef/99BAIBTJ48Gddccw3S09O9bh8hhBBCCHGBTFAs2RlKx5oIsOyAv8j250TMdBHBrFSRvrSG2TG5XZH67FfnYtnaLZqV8xlpATy3cq5UH3daDkwvrgDGZuyK34gSrJlYONJUXJpTWoDvvLzPM3HOzEdE74GiYCQOWqE+WtnMipaunsj+v/HxSjy0wbyMlHX2inUGjVXpKjVG58Soj5YX56C+yVoks8JIRJS9TnrcZttsPhAyFY3auntt95/mau/W2JURIsnNhT7vr66+/B7xn4dfqxf6XG9/GEsmlQAYmPeMxJWBz2n/NprbN9WHcNN/78CLX58v19gPsSstKeoTp87we6H2CMy6dF8YeKvxDK6fNU64jSQ2SAssBw4cwKc+9SkcO3YMkyZNQjgcxv79+zFu3Dj88Y9/RHl5uR/t9Jzq6mpUV1ejr49phIQQQghJTdwGW5KJoXSsJDVRCyThD/utHqP+HI9MFy/FHKuMqDxVdoIZYZdh0x++Whe1ojUcBh78c53vwuzGuibD7Bkr9Ktx55QWaFbPVlUUoeN8j2G5kpuffgu/vmWedDtlvTWMxEErxgajVysfae7EO8dahYQN9f6f+PIs3PTMW1GfWbdillBb/v3vP4Ll1VujBLeff2kmVv/mbeHrpW6TcR9112/1pcgA9x4obrHTn95saLbcf7/pO+6ZMjoX755ot/+gJP/2d5eitz+Mfcfa8Nr78hlAqUYye97kZ2Xid6u0WYvTv/+a9BxN/EcpKwl4k/m243CL498JobPWmSmiHGvpiux/2yHrMplbDp6mwJKASAss3/rWt1BWVoZt27ahoKAAANDc3IwvfelL+Na3voU//tHc5C+RWLVqFVatWoX29nbk5eXFuzmEEEIIIZY4CWjGO9gSS4bSsRL/iEcWiJFAMmV0ruV31P05lplbfoo5TjOi3Bx/vIXZPcdaXX1/e8MZVFUUacqFWGV71DaecXRMMt4aZufUCrWYYVQyLWe4daUMdbDt6TcPIz0QiMrq+e9th/HxyRfZtuWLT2yPEnR6+8O4/cU9ePs7f4c36kPYdaQFl+SOwB2/NfcIUJ8Toz56MNRp2xYr9KXIALnrZITfJboOfHDW8n0//Wp+/62FERH393tO4KXdxz3Z7ppXzTOmhiLJKq4AwM+/NFNzH2oIdVBcSVDUc7RX88Yf3jmBb15VKf294lHDPdn/X95vipSxLMgaZvnZopHe7JN4i3QW5saNG/GjH/0oIq4AQGFhIR588EFs3ChniEYIIYQQQqJpCHWgpq4Jh053orXrAlasq8VVD2/EjU/twJKH/ooV62rRJvCjz22wJZkYSsdKvMfNOHOLUfD1PZuV1kp/VoLZfboUDLVA4HdbFTHDLep5T+Y7bo5fRJj1k4+NzXf1/T5VptOSSSUoLRqJP7xzwvI7f7R53wjFRyQ9oPU5SA8EsKiyWCPYOAnSq+dno5JpdubVSrDNbX/YWNdkWmqmrbsXb9SHsLCyGP/88Usxa2KB4ef0mLXJbSDa6JjKinMQNBE6g9mZONLciUdf3483TAQwP0t0AcDfTlkLLH7yRn0I4Q+vwVBfbJFGuxJDbnlup+ZvegIlLqGz5yLPC2b3J1neNDGgt8ML7y4AKMgZFFXyRlovWBmV5cjtg/iM9FUZPnw4zp6NvjF2dHRg2DBrlY0QQgghhJhjtDo8mJ2Jdp2xr+jqbLcG0MnEUDpW4j3x8u8xW+2vlMrRl1vR9+dYZm75le3hJivG7fHHW5i9clIJgtmZhqukRT0/AO1xnum8YPnZ0x3n5RsKca8b2dXE88sLI213UjINGMxgcdsf7EzeX3//g8gKY9F92X0uZ3i6RkDKGZ6G7p5+9AnWy1Ifk9WK+5auHnzlqR2Rv4PZmXhl1QKMKxy8Xn6W6AIQETjM8DOg/a8v7EFTh/XYSFVGDU/HWVUfK8oZhqazQ/NcWNHS1YNfv3UExaNGYGLhSN8FR+KcO34zmD24qLIYt15Zhq0HT7uqvOi03KiVd5cMn542OvJvu8UXM8YHXe2L+IP0nPHpT38aX/va17B9+3aEw2GEw2G8+eabuOWWW3DNNdf40UZCCCGEkCGBUZC3pasnyuhQZnX6YzdMR1VFkeY1GQNoP3GyYt2KRD5WkrjEOgtEjV1AcbKuVJi+P8dSIPAr28NNVozb45fJzPAK/bz3yqoFUVkHwexM1PzrYtSsXoynbpyNp79qLfKpj1Mx/jXj45fZl8kyQvHKUdpUs3oxnl45J0oEk11NrB52TkumHW/pBmAf3MiwWbpfMNKmLEvOYFkW0b5n97kuXXZOx3lxcUW9H0BOoGjp6sE11Zs1r/lZogsAFnwoTpnh5/6HqrgCAAGXK/tjSbxFjTt+824ki3XNa3Vxbg0RYcuB0/jSk7XCCxLM+Oz0sY5/lzz+xZlYZDO/2aF+3lAWXxgRzM7EmPysqHZurGuyzFAk/iOdwfKf//mf+MpXvoJ58+YhM3Pggvf29uKaa67Bo48+6nkDCSGEEEKGAk7q1ousTrcykI4Xfvk4WB1rPLw1iDzxuE7x9O+xCyg+dsOMSBuMzkksM7fcBq+NcJsV48Xxi2ZmuMVq3tt979KIt8eM8cFIlgQwGHQRPc4rJ5UgPYAoYX7g89Bs2wkiXjlG59SMbQ3NkevstGSacqh2uoRdAO7T00bjkQ31pu9/SrXC2Kux5zRrxGg/sgJFS1dPpOwZYH5MXnGZgbfUxrom7DnWGun3eVmZaOs2zsIhzmg/py17F0rg7JVwAK6yELzErlQnSQz6wmFP+syv3zqKf/vNO5G/ZX6X6H9/NLWfw7ctPLqMePGtoxrj+ldWLcA11Zs1WYn5WZmoKM7R+KzNmhDEgaYOtKrmTaMMReI/0gJLfn4+Xn75ZdTX1+Nvf/sbwuEwJk+ejIqKCj/a5xvV1dWorq5GX591PVdCCBnqMChJSGxwW7feDqcG0n7gdzkm9bH6acpNvCOe1ymeZaJEg7RWYzdWAoHb4LURXohbbo8/ViK03by3sLLYUvwQPc6GUIehuAIMiC5OS7nJoD+nH7Sdw50vmQeblOtsVTLNirHBLADeZDTNmViA2sYzUe/NmVgQdd7uWz4Fy3QBsNysDNy/fErkb7/KXnk1xncdadH0O6N+JlOuzor0wEAZtomFI5EWiPbbyR2RESUGEO9JEP3CEB90PccoXT4N/pfPI/Fn5+EWzd9Ofpcovz8efX2/9P5f3XcKRaOGR55BxhVmRy2++MWmQ1HPEW/p2g0MZijuvnepdDuIc4QFlnvvvRd33nknsrMHHlqKiorwmc98xreG+c2qVauwatUqtLe3Iy8vL97NIYSQhCPZgpIUgkiyI7vyNJidmZR93S8fBzPi5a0RL5J1LozndYq3f0+yCAR+CFFebNOr4xcVoZ2MMS/mPdHjjGdGlh7lnDaEOiw/p77Oz66ci2XVWzQBfbtF7X/9WxMWVhajrDgH88oKsa0huhb+vLJCoeN+6PppWKYL/AezM/Hw9R8FoL3+33l5H9q7tYJAe3cv7l6/NzJveVn2as3npmkCcHqciDn6Wv5GPgReiCsAsOLJQQ8YI9GG4kpyofcPSlkSKKuG+Id+mnPzu+TiUSOk9/+/7zfhf98f8AFTx1yUxReylQ70GYrEf4QFlvvvvx/f+MY3IgLLhAkTsGfPHpSVlfnWOEIIIfEjWYKSySYEkaGBkwCcbGmOlq6emKxE9ppUMOVORJJ5LkyE6xSrLBAjYi0QOMWJEGU3F3opbvl9/E7GmHL8p9rOWW5bZt6zO04/Srm5ReY6//DPdVGr2O3uiO+fPBv5d5+JGGD2up47X3o3KoOmpasH//ri2xiRmW4b4NLPW2XFOZ6UvQpmZ2rKxxjhZKGGPvhm9PzvB16JNn6TFogOvMpQWZKD+iZrgTFZ6RwK4grcXX/iP+mBAAIB/+YUJ79LSvLkBRY1RjEXJwK6PkOR+IuwwBLWPeXo/yaEEJI6JEKwS5RkEYLI0MBtkFumbj0Q25XIXpFoptzJdv7MSOa5MBGuUyJ4FSVSGT8zRIUombnQT3HLy4wuuzGm3lcwOzPq+K3wct7zspSb0flzek5FrrMTLzIAyBmREfm+UXkvAKhtPINDpzsRDodN298Q6sDWg9HZL8r3ZQy4lXmrIdThibjyyqoFtp8zE7LSAkBaQJsxYrRNp+dfISszDd09qVVMyW3MdkRmvG3b/YMRweTDrWDoFWY+YU7IzcrAuGAW3jnuj2eO0f3Z7D6ovJ4ecLeQQR1zUe5ZTrY5Oi/LVTuIHNIeLIQQQlKfRAh2iZBMQhAZGrgNcuuDvOmBAFY8WWv6eT+9IfwiluWY4umtEUuSfS5MpBX3ySByxBNljtq0vwm7j7ZGGbIryMyFRiWJ3OJ1RpfdGLv+8a3YoaqDHszORLtAUD1R5z2j8ze/vBDhMDTlt9yYABsJHE79SnKGZ6Cmrgl7j7dafu5rT7+lySbQt3/7IWNxRUFGOlDO8/ZDxoKPHWs+Nw0n2rpNx5gZRkLWgoqB43zneGuklr/RNmXPf+6IDNzzqcuwtaEZVeVFONHWjR9vqJfaRqrzrk9BX0KcUF6cGBlVXokrwECGoaxvlyj60pJmzxb3Lb8c96zfp3ldeQ5QH6tyz//MRy/BloOnUZg9DOu2NJru/5u/2oW9JwbnEKNtWlE0arjYB4knCAssgUAAZ8+exYgRIxAOhxEIBNDR0YH2du0NIzc31/NGEkIIiS3JEpRMFiGIDA28DHKrg7zx9IbwCycr1r0su5bs509Pss+FfpinE38QES5k50I/sq+cbNNqjrEbY3pzXNFgjx9l6I7atPVYS5ftfHDjU7XYfbRN85pRZocbE2AjnK71f2n3cby0+7jt5/SBxej2eyPmaj3SnM1fsyYWOJq3rYSsMflZ6O0PY2zQ+DlftsRYx/le3PHbdwEA63efwJTRiRsLSpSV+15C8/VovLzOqWi9ciABxJVkIhCI9t0yerZYVr0lyo+rrasHedmZmucB5Z6f92HJx4ZQh6XA8t4JbbzdaJtWJErMZqggVSLs0ksv1fw9ffp0zd+BQAB9fUOjDiMhhKQyyRKUTBYhiAwN/Apyx9Mbwi9kyjH5UXYt2c+fwmApAuvPJfpcyLk8eRARLmTmQi+FaXVpDpltiswxdn1UJsj54LVTcVHeCN/K0O051mr5vl1N9oZQR5S4YobXWXJv27Tda/Ttn1ta4Ml21R5pc0sLHW3jzYZmzzyZ/PLo0gey951wl62ROyLDN6P7y0fnplw2SXnJSNQ3dca7GQnDnIlBjMjMcFzmLiNNW0ZvYWWxq5J5iUiqCUZ+s/VgM656eKPlZ/rCYUPBox8D94JnVs5Bb3/YcC63KuvYH45+tjDa5rVrtxjuXyv0k1ggLLDU1NT42Q5CCCEJRjIEJZNFCCJDA7+CxIngDeEXIuWYvC67lgrnzyhYFszORFtXj+bHWLLMhZzLkwNRMURmLvRCmDYaDzLbFJlj7IIgMszVlRzxmotHWZvr2tVkf2Zbo/Q+vcqSO9N5wfJ9v1aUi7Zf5nor2ywrzsH88kJTbxcz7nrp3ci/FTGkufO8I/8b0fuo0xJtCrLXZl5ZIW5dUh4pW9bbH8aNT+1w1QYz6j9IvZX7KxeUYW5ZIRqbO/HG/hCetFgJn+oEszNx+ycuxdef2+V4G739Yaz53DQUjRqOiYUjcaS5M+UEFhJ7jrV042IL03ujmMvk0bnYayEI9/aHsWRSCRpCHabZLGqhn8QGYYHlyiuv9LMdhBBCEoxkCUomgxBEhgZ+B4mHojeEX2XXEgWnZtFGwbL2bvNSBMkA5/LER1QMkZkLvRCmjcaD6DZl5hijPjpzQhA7Gluivm9ErATDEotADmBfk/1oS7f0PmUWEFjNe0smleCXWw9L798tg34p1iKIjH9BeiCAmromTCwcice/ODOq70woyMLhM2LnenN9CIsfqtHM76IZKDJ9PJZ27MHsTPzoumkYV5gdyajaWNfk2/7O9aZeMS1FrC0tGoklk0qGtMDS3t2LL62rdV1S9ERbN66fNQ4A8Mrb9mUHCbFDRCzXx1zC4bBl5oxyz0r2EsGpxpA1ua+urkZ1dTVLmhFCiA2JGJRUkyxCEEld1MEiBom9JVV/OLgp12IeLLMvRZDIcC5PfGTEENG50K0wbTYezJhfrs0esZtj9GWajProinW10ZktQNwET7ei1Scuuwj/+75YoFtGNBKZ966cVGJZJspt9oresyK6/db1Fo+3aPtLRloA/eGwJqtFufYrnqyNvDa/vBBhXeN7JFyelbIwakQzOWXuo7GUINq7e3H3+r2a9qeeBOIfeVkD5X+UZ9CmtnPxblJc6QuHPUlvuyR3REQYtcsGJESNSIallViuj7mIPBuxxG5iMWQFllWrVmHVqlVob29HXl5evJtDCCHEJYkuBJHUwypYdKbrAoPEHpCqPxzclD2zC5YpZQOSFc7lqYGMYOZGmJYtaaQPctvNMUYrT/V91Kj9C+J4LygrzsG8skJsa4jOxpgnUJ7s83PG4+71e4VWgsuIRqLzXkVxDnYdbRXapiwBncISCAB3fnJS5O/RNtk/XT1aCaC3PxwRWRTysjPR3q0VQ4zKg510GRC3y+RUexJZob6PyprcuyHeGTTJTlt3D67/2VbhDDoixh2/HZzzp4zOjWNLkpMF5YXoC4eRFghgi2RZxGRnyhh7nycZsfy+5VOwrHqz5vO5WRm4f/mUyN8ssZtYDFmBhRBCCCHEDXbBIj7UuicVfzi4LXuWqqITSXycZJSJCGZuspdkA8LbGpod1yQ3C4JYtT8vTiazfSbiiNnrep5dOQf/8IvtUa+/cPMVKMkbIX2dROe9hlCHL+JKeiCAQABRolFvfxhfXLcdu+9dCsBZBoXatyE9ENBkrljhlZeMftwZLf7Qm3crBLMzEQ6HIyv2ze+5QG6WNiNLycpRC3kTCrKlRc+ntzaipfsCqsqLpMo7GWWJDTUorvjLeyesg+Ukms1DTFRRCGZn4vffXBh5Dvig7RzuVC3QsMLs+f+e9XvR3q3N5lQy/757zWRWT0hAKLAQQgghhEjipTcIsSbVfji4LXuWiqLTUMSp/0488Vvcc5K9ZDYerFCPMZlgsN38nijZVw2hDtQ2njF8r7bxjND9ae1fG5AeCETNMdV/PehoAYHovGfngeKUyaNHma4sbunqwRv1ISysLHacwaH4NtT46CFihn7cGS3+MBMuWrp6NHX+F1UW4/7lU3D3+r2ae+6c0kIEAtpMnHB4IANIg3WyjCFPbW0EAKzffULqe0ZZYp94ZKNrDw5CFFiyLnlIDwyUyvWbORMLUPdBO9pUwkcwOxOvrFoAYPA5oCEk5tWlRv1sYvc7Uz1vz5oQxAGdN9i7x1sj3owkdjgWWA4cOICDBw9i0aJFyMrKQjgcRsAm/ZQQQgghJBVIVW+QRCTVvDm8CFKnmug0lHDjvxNvElXcMxoPVrgtiZTo87udSLG9odmy/X4sIBCd9/4i6P0iwo3zJ2LRpGJMLByJV94+blm6ZdeRFiysLDbt42kBwCpuP2N8cOBznrXeHqNxJ+tJpGfLgdMRXxT1Pffu370bVebMqATdEcnsFVnmlxegJHcEqsqLIkbkSpbYxromiiuEDFH8FFdWL70Ul4/J0/z++PVbR7D1YLNmLlJTVpyDoGSGnfrZRGbxx1uHozPZWrp6cE315kh2pp5kXOSTDEgLLM3Nzfj85z+Pv/zlLwgEAqivr0dZWRluuukm5Ofn4+GHH/ajnYQQQgghCUMylmlK9ofpRFkd7hYvgtSpJjoNJdz47yQCiSjuGY2H77y8z3SMiZREsiIR53ct1ose7Y7SjwUEovNeqOO81HatuOqyEiysLAYAfGxsvuVnFYEEMO7jMycELcsxjQ0OPBOcaOt20WI5jMadbHkuPXoRTVmJbeQhY4TgEHLM1oMDmVnrd5/AD/70Pl5ZtQDjCgfO/Z5jrf7uPIWYKuAVQchQIRCwnrsKc4ZHvA31i2TW7z6B3799MmqRTEOow1X5Qi/8sNTZmQrJvMgnGZBeZHHbbbchIyMDR44cQXb24EX//Oc/jz//+c+eNo4QQgghJBFRgkV689j0QACLKosTKtjd2nUBK9bV4qqHN+LGp3ZgyUN/xYp1tWiLcd3yhlAHauqacOh0Z0z3m4g8dsN0VFUUaV5zEqQuLRqJJZNKEqq/EXOU1eX6QL46qJnohD1zjvAe9XgwGmNzywrQ09cfNRfev3xK1GeD2ZlI1+kUiTi/GzG3tMDy/SvKCi3ftwsQZKQ5q1ohMu/9fx+5yNG29eQMT9cEla6cVIKgSfAomJ2p+awi2D391dm47ROVeGblHNy6pMJyf282NKOmrgmnz17wpP0ibD14GsdbtIKKVyb1jc2Dc5FfZdvcoqzQVkh3Up9sCPFvf3cplk8fjTWfm4bff3MhckfQLUCN03mNJD9ZmemW76v7htUiGWDwt07tIeMynVZsV2UFmv3OlGXXEe3CALv2E3dIz6qvvfYaXn31VYwdO1bzemVlJQ4fPuxZwwghhBBCEplEXMltRLxXzHO1VDTMQBmapEJpwXjPJ6JYZbWoMSuJVJA9LCnmdwV1hmJZcQ7mlRUalnCaV1Zo28fsfAeclmESmfe+8fFKPLRhv6Ptq+k43xf12iurFuCa6s2aVcXq2vkKRves2RODsOIuQTNjL+ntD+Oa6i048IO/j7zmJCPLCG2WVuIGnlu6evDrHUdQnDsCDaflPQ+GEmteHRhXSvbPJXkj0H4u8c6ZXTk+v2B5uaFL14Xo+4UaJTPRrnzm9Y9vxQ6Dcl2i6HugbPlTI9TZmfQP9R9pgaWzs1OTuaJw+vRpDB8+3JNGEUIIIYTEE5FyWskQJE+Eh+lECcgmYom0ZCl7lojnzi3xOKZkLC2oJh7zidvrpC5zJNJ29T4SfX4HzAXsez51Gb60bnuUmPCj66bZbtPvfmo3771w8xX4/C/edLUPALjvD++hqrIocu3GFWZj971L8UZ9CLuOtGDG+KAmc0Xh68/uihKndjS2IC8rAx3n+lwJF17T2x/Gi28d1XgAGAXlgtmZaO/ukfIpUMbemPwRXjbZc+74bezFrWSnpavHVfkiP5l88SjccfVHsPtoK2obzmCLYHk6QvxCESnsFsnsdCGuANHZpUYZwzJzuT47MxUW+SQ60gLLokWL8PTTT+P//t//CwAIBALo7+/HmjVrsGTJEs8bSAghhBASK5xkWyRykDzeD9OJIPAwg8Y5qXju4nlMiWoSL0os5xOvr5PTtify/A6YC9j/8IszOHtOuyq3pasHt/96D668tBhbDp7GwsriSOkrfQZMPPvp3PJCND74KaytORCpHx8cOUw6S+SJzYfwxOZDALR9Z2FlsaGwAgycB6PMHwBo6+7F7AlBRyuUp43JxTs+eV68uu+URmAxWvxhlJFlxTd/tQt7Twy2N3dEBtrP9Xre9lgSr8wIIseZrgtY8eSOeDeDEABAehoi9wu7xQd22Z9WGGWXGt3f27p6kJedqRFIZ08Ior6pA63d1tmZyb7IJxmQFljWrFmDxYsX46233sKFCxdwxx13YN++fThz5gy2bNniRxsJIYQQQmJComRbeEW8H6bjLfAAqXdNY0kqnrt4H1OylBY0IpbzidfXKd5zoR9YCdh6cUVhx+GWiECwreEMfvRqHT46Ng9vH2uLfGZRZTHuXz4Fd6/f67qfuslAunVJRUQAer7WXSly0b6z3aZu/rUzx+JH138Ujc2d+KDtHO60EH0euHYqLs4boTl2tWj0ySkX46qHN8ofjA6zvq0WB1u75Lxh3juhFYOSXVyZNiYX+dnDHZXaGZ03AifazvnQKmLEibbz8W4CESA9Dehzoyh4zKjhGTh73vt5qq8f2LR/wDtvYuFIzC8vxFYXWVUBAOlpAU1JOqPsUrP7ez8GFks8s3IOevvDmvuLXXZmvBdPDAWkBZbJkyfjnXfeweOPP4709HR0dnbi2muvxapVq3DJJZf40UZCCCGEEN9JhGwLr4n3w3S8g5qpeE1jRbzOnZ+luxKhPyRDacF448d1ivdc6Ad2ArYoanEFMPelsTpH+nHrdQbS6Lws6e+oEe871ikOAWjLzllxhcGKZLVoVFPXJNJ0W740b6LtZ4wESyOULA+ncdMA7M6gNX5lygy3MbHWow5e3vrsWzjRZv8dQoYSM8Y5y+bzi8suGYURmRmu/ErMWPFkbeTfeVnSIXQN+R+W+FLT3t0buecq2N3fe/vDWDKpRPOaVXamQjIv8kkGpHpHT08Pli5dip///Of43ve+51ebYkJ1dTWqq6vR12dtaEQIIYSQoUEiZFv4gZOHaa+C3PEOaqbqNY0FsT53sSjdlUj9IdFLTxkRq/Pn135SLbBgJ2A7xcqXRo/ZuO3t78f2Bm02iJsMJK8WStv1nbmlhabvAcBcVY18J/c39b1V5vqNGp6Os+ej4xYzxuXZjgUzwdKIyaNzsddFKbPiUcPRdNZ5BsLHxgXRca4Hu462Rr3nRnzZ0diCtIDcd5TgZUtnYnqVEBJPEklcAYDaxhbUrF4MAEIZhk5p65abg+aVFeIH105FY3Mn0gMBjVijoNxz1ZkyaTbbzZCd0D6Ei3z8RUpgyczMxN69exEIOLuYicSqVauwatUqtLe3Iy8vL97NIYQQQkiciXe2hV/IPEz7EeSOZ1AzVa9pLIj1uYtF6a5k7Q9+ZvXI7MevH/x6/LpOqRZYMAvwe0VjcyfC4bBlnzAat5vrQ4aCiJsMJK/EJC/G+Ma6Juw51ooZ44PC9zeje+usCUHhfXae70NQV3dfuTfbYSdYqkuZhcNhV2XLZEuR6dly4DQCAeO+7DazRcZ/ZdeRlshK8LBJewghiUVjcyeWTCpBadFIvFB7JN7NAQAEAoMLauyyFtXiy5QxuZaf7XVpKJWMi3ySAen8phUrVmDdunV48MEH/WgPIYQQQkhccJptEavgp1vCAgE4P4Lc8QxqxjuDJpmJ5bmLVemuZOsPscjqkdmPXRaB2x/8Cn5fp1QKLBgF+CtLclDfZF2+SoS1fzmgWaWs7xNWNeKtiFfm4JyJBbb7tfNg+dSjm9DVM3iEeVkZmHSRdSAMML637pJYAa7U3TfD6jnEThgdG8zSlJVxI9pd6HM3B/SFw+5qjHnEjPGD4tfIYRkA3AlHycb1M8dibEEW0gIBPPza/ng3J26kBwLIzcpAe3evLyI28Rb1Io//ff+DOLZkkK0HmyPPsDILBfQ+WHq8WtBCvEVaYLlw4QKeeOIJbNiwAbNmzcLIkdob+COPPOJZ4wghhBBCYolMtkWsgp9uEW2n30HueAU1U60sUCyJ1bmLZemuePQHpyJsLLJ6ZPYTqwwWgONWFCMB+82GZtzlojSKElTcdaRV87q+Tzj1gHGSReKF30zdB/alr/afOmv5vlpcAQbKxdQ2akWZTfUh3PLsTjz/tSsAOBei7Nhy4DRueXYnMtPTLO/vssKo0dibX16IcBjY1uDc3BkAPjdjDHrDYRRkD8OTWxpdbcsv8rMyNYLTRbkj0HDaG7+jZOHvp12CJZNK0BDqGNICS1VFEe5fPgV3r9/ri7cH8Rb1XNYhYXifMzwdHQYlGL1CeYaVyTq1W6/i1YIW4i3SAsvevXsxY8YMAMD+/drJNhVKhxFCCCFk6CKTbRGr4KdbRNuZSP4UXpJqZYFiSazOXSxLd8WyP7gRYWOV1SOzn1hlsAAct7KoBWyRbEUrZkzIx47G6OwKfZ+wE9wUw3QFNxlIXpQIa+vuxRv1IUsT4LBH6RPbGpoj9fRPtZ3zZJt6+sJhbGtojvIW0d/fZedXo7EXzM7Et57f47rNZcU5uHVJBRpCHTEVWGT8WypLcjR/V5UXYVuDdWZTqpGo5TJjwfUzxmBsYTZmjA9iYWWx67J3xD2fuKwEU8bm4ZK8EbjjN+aLByYWjowsaLnsklzhcfuRi3Pxlo+eMurxZCRgu90mSRykBZaamho/2kEIIYQQkjDYZVvEKvjpFpl2Jqs/hSipVBYo1vh97uJRuisW/cGNCJuIhvJ2c0R6AKipa/JUDOG4laesOAezJwQdmxB391iv5FX6hJ3gpjdMd5OBVFacE+VBohDMzsRLt1ahsbkTG+ua8Muth023o/bWMGLJpBLL78tgZGbsB3pd04+s0xXraqPmMifsbxrIECorzkFeVibaumNjIC/j37LjcIvm3BWOGuZXsxIeLzLHko0Xdx2P/HtRZTFau87jneP22W/EPza834QN71v7lwDAHb9523BxgB27j7QimJ0ZVQouDQOCs1V5xv+fvTuPj6o8+8f/mSyQjYTJxpqQhAQKIpssQsKmFbUqotX6RR+xFPXXGqvWUoTWovWxinV5tBpaF6B1LXVDqj4qj8awBAhLkCUYEhIIexaykAXIcn5/xBnOmTnrzJk1n/fr5Usyc+ace865z5mZ+zr3dYnpuanAMYCtVPhe3AbxZ61Z34vFtcTUPhPJGMMBFiIiIqKeLlBmexhppy8GuQOlfk1P543jFGwpodwNwnor4GlkOxlJMZiSkSCbJiguMgzzV223/+2P6RJ7kvAwrfklyrRyv9v6hFbfeXled9YLM2YgVdQ0Kw5y2R6fNTwZIYBqgERcW0POjOHJLrfRKMfBOLPZPt+3Vaqn9dpWUefSDSWuCLdY8NLXBzEgLsJrwRVXiL8b1ZzteTMY/vPdcQgABsRG+ropPrWprMbtVH7kPa7OQukUBNS3tmNimlUSoMn54XvMmdYLOFzXglON51TTbxq5qUAcwFb67TU5Ix5hISGmfi8+UteCuXmbJZ+n1qhwrMvNQUqC+zNFezqXAizbt2/H+++/j6qqKly4IP3A+eijj0xpGBEREZG/CpTZHkbb6a1B7kCpX9PTefM4BVtKKHeDsN4KeBrdjlJG6MY26R3i/pgusaeoqGlG4SHXa2XYBv217pzV23e8OdNqxvBkxEWGOfVHoDsIqHWn7hPr9rvVTiNS4qNwpM71GQKOx8fRxc939TTuWjEeI7MYeoVaVAvdi2cH+DNpPameV+vghfVl9n+HhVjQ1SU4XQt6QvF3BlcCi7td8b5ZmUhLiHb6DhoXFY70xO70Y2qUbirQuklJ7bdXXFS47u/Fem6GcgyuAN03KczJ24TiZbNV3x9pMxxg+de//oX58+dj9uzZWL9+PWbPno2ysjKcOnUKN910kyfaSERERORXMpJiMHVoguwg1tShCX4zMGx08NRbg9yBUr+mp/PFcQqWlFBmBGG9FfDUux0jA/f+li6xJ9EaEF80exg6BQGhFgueUylgPXJgLPadUL8b11t9tFqjjknt2fP2fw/vF+tUeN72uJZvD2qnoXHH8psvRb+4CKQlROOfhYfxj8LDLq8rJysJHV1d2FZxRvXzfXJ6vOp6Ls9IUH3eSP2briAZbN99tB4dXQLSEqKR1CfC180x3fSsJN2zkjq6BHuQxYbF3ykY2X7zKH1nMXpTgd6blLR+e2l9L9a7nYLSatWZoFo1ykib4QDLU089hf/5n/9Bbm4u+vTpg5deegnp6en4//6//w8DBgzwRBuJiIiI/I7SOIK/jS+4MgDmyUHuQKlf09PxOLnHjBko3gp46t2OK/n4/SVdYk+iFYzoFxuBWyekoKKmWTXA8vLt2im+vNVHT51Vf08nGtsAdF+35IIrAFB0+IzmdWtoUgwqaj1Xd2JyxsUbMEb072P49VeNSMbtlw+x7+fG1nbNz3e11H5TMrRvCFG6lsnp8NNb/uMiw9F8Tv9si+e/ujiDY9RA7cBcoDnZaKyPd3QJuDsnDbUtF5A9NBG3TkgBAMm5r5U+qSezoCfOg/Ifby2cZA+YPvbJfre+lxn5TWX0JiUjv73Es1Vs70lrO7uPNaiuU6tGGWkzHGA5dOgQrrvuOgBA79690dLSAovFgt/85je44oor8Kc//cn0RhIRERH5k4qaZtnBCgDYUlHnV4PP/pZ6KVDq1/R0PE7uM+vufm/N6tHajitVPfwlXWJPojcYYWaKL0/30f4aswgGxnXXinD3urX0JyN0FVN25MoAXnKc8ZkRsy/pj1miOjF6P9///l+XOV2LbHc46yF3LQskjW3O9RX00qpJ5CsxvUPRfL7TpdeWVbcYfs0bmw4DANYWn8BTnx+w12wQfujnrld98l+hFospKdAy+0Wj7LTxfU7um5QmLeLu7vcyvddcT92kJDdbRY7cdsYO7qv6Gq0aZaTNcIAlPj4eZ8+eBQAMGjQI+/btw6WXXoqGhga0tnrubg/yLhadJSIiUhaIg8/+knrJV/Vresp3G7Pep57j1FP2qav8LbjpLiM3p5tdK4b0MzKI4q0UX+7S6nsdP6QvcvfzJSMpBiMH9kHJibNGmodj9W2YNykVgPo+FV8zjaTeArprYdhmDjjS+ny3XYs2HKxG8dEGjE+1GrpT+eLra1B8tB5HalvxUXFg1FOxEddXeH3DIRQekp/p5MhPJ+W4HFwxQ31rO65/ZSPGDLYGbNBNj3GpfV0unC722p0TAXT/Ngi1APNXbXd7naRP6Wlp3RRXvpfJfddVuubalj2tMZN0a0WtS98L5WbFqBH/Hp0xPBnWqHDZNGHWqHDOXjGB4QDLtGnTsH79elx66aX42c9+hgcffBDffPMN1q9fjyuvvNITbSQvYtFZIiIibYFS5N4feat4t01P+W5j9vtUO06T0uPx2Cf7g36fmsVfgpvuMjIg7I+D9J7mLwHHFI3jNNh68fnACQKq30VuK0nu6ueL+Nj98boRmPd6kaHWiUuiy+1Ta1S47AySSWlWFOmYVREWYsG63GxDbRJz9/NB713T/iwtIdo+2yK6Fz+n3NXY1oFN5YHbH5SI6yQdrmvBgtXmBEPE3wOUajiS+Rrb5GuL6PleZuS6afQaufSjfZrrdKQ0K0aN4+/Rdbk5mJO3SRJksUaFY11ujqH1kjzDAZZXXnkF5851R+OWLl2K8PBwbNq0CTfffDP++Mc/mt5A8i4WnSUiItLm7SBBsPHmXdM95buNJ96n0nHq6OrqEfuUjBGnSepJ10B/C+K6MsPS34OAthRgSgZZLz7/5NxRuNFhACk2Mgx/njvK6XVmBQ4myxSKF+/T+SuLZK+ZMRGhsuubkpGAm8cPwuZDtZKaF65y9/Phvnd2mT4gHBZiQZcgQFQ7HSEwf8aI0k0B5L6uICwsMsgaaR+MF0wqqpj3TRnum5VpD+L6W63GYGektsiaoipsqaxD9tBE/Oe7k7qvm0ZnluhZpyOjdfDkamylJESheNlsbCyrwa6qesOzGUmdSynCbEJCQrB48WIsXrzY1EaRb7CYKRERkX6BklrFHwleKvfZU77beOp9yt2JLQgCrni+wPRtkf/T+nHf0SVI6kP0FP4WxA3GGZaf7D6h/nzxcfsg0ZKP9jilQKlvbccjH+3Bu/dcLnncnUExvdSuz41tHbKv2VJRh6duvtTtwIrW9jeU1WBNURVOnT2nONBWUdNsWnDl7px07D/RiGlZSbhj8hCn71AjB8Zin8k1T5RuCiCS0yGKGindTGXU53tP4oNdgZVSL5hoBegBYO+xBty0otB+/NcWy3/myH3XdWVmidY65RhNK2mxKD83LSuJgRUPMBxgqaqqUn0+NTXV5ca44uzZs7jiiivQ3t6Ozs5OPPDAA7jnnnu82oZgEYj55ImIiHwlcFKr+B9vDUj2lO82nn6f4jux80vVC0AHyz4lZ8E4cO8ufwziBuMMy5ITjarP7//hebVgQOGhOlMHxcS2VdQp7lejdx3bmHUt1dr+Ix/ttf/bliomJeHiub6t0ryZK29sqgQAbKk4g9c3VmBdbg46BMH+HWrdd8dNCbDcPG4Qbhg7UPWmgJ6sT+8wnD0vH9zr6Rw/x+RmxBnV2u6vlXx6hsQ+vTWXEQdX9BBfn129xqutU05GUoxiDRU5jp955HmGAyxpaWmwqITCOju9W2wrKioKBQUFiIqKQmtrK0aNGoWbb74ZCQnO03RJHX80ERERGefvqVX8jTcHJHvKdxtvvs+esk/JWTAO3LvLX4O4wTbDcuTAOHzvUKxYLDU+Gvml1dh3vEF1PeJAiFmDYoB6hRijdx3bhFosyC+tdrkIsyvbr29tx5y8TSheNlv0qMpt0G4Qb8vW5rGD+5qy7pvGD7Lfna11U0BPsfjq4RgxMBZpCdH47LsTeG79QV83ye9Yo8Kdzp9H1+5Dk8JMMwoMct9LxdfMooo6Q8EVx3W6eo1XW6ecippmw4E+3vTkXYYDLMXFxZK/29vbUVxcjBdeeAF//vOfTWuYXqGhoYiK6u7Q586dQ2dnp2m5Ensa/mgiIiIiT/PmgGRP+W7jzffZU/YpyQu2gXt3+WvAMdhmWN5/RSY+KlZOsfNlyWl8WXJacz0CLg6shZoYN7hcpgaLjdI1U6veyPxVRfZ/Gyms7Lis0TRH9a3SotCT0+M1XuE6x23NGJ6MsBCL4cFOsbjIMAzqG2kPTrk7+GmxwK2aGRaoB+C8pb2ry57C8SejBzDAIqO+td1js9zIP8hdM5N1zHCx8cR3Xb3rdOWmAN705F0hRl8wZswYyX8TJkzAPffcg+eeew5//etfDTdgw4YNuOGGGzBw4EBYLBasXbvWaZkVK1YgPT0dERERuOyyy7Bx40bJ8w0NDRgzZgwGDx6MxYsXIzEx0XA7qNvL88YhO1O6/3ryjyYiIiIyl7cHJHvKdxtvvs+esk/JmW3gPn/RTKxeMBH5i2bizYWTfFLM3R/YBq9DHTI8hFosmJ6V5POgRnpiNGYNT/Z5O/zFR7uO4YrnC7Bg9XbMX7Ud1qhw4wMiDuQKCTt6cu4oxEZK723tFaZ/y7YUmo7U0m1qbV/Nrqp63cuKpSUYD2aIt1VR0+xmcCUcw/v1sR/jWc99i0c+3KP79SHonsUglpkUY7gNYkkGBm+NMNB9AADjU632f3+6R72m0eyRyZg7biBuHj/IlaYFtMN1LfZ/mznLzd+o1ecINDG9Q1WfFx9TuWtmTfN53duS+67rbj+JjQzDn+eO0lzOSLDYX76D9DSGZ7AoGTZsGLZv3274dS0tLRgzZgwWLFiAn/70p07Pr1mzBg899BBWrFiB7OxsvPrqq7j22mtRUlJir/fSt29ffPfddzh9+jRuvvlm3HLLLejXr5/b76knCra7nYiIiMi/eHsGRE/5buPN99lT9ikpY2rEizirx/O2VZ5xex2hFmDXkQbJY01t7YgzkNM+LjJMUpjeNltEi1yaoXMd+usyGCmsLLfsIx/uMZRaRjwYrzV4+PTNl6J/XATSEqKxtaIWSz/ap3s7Rrcl5+6cdPSJDMP4VCte31DpNHi684j+YFHOD8fzu2P1KD7agPGpVgzqG2mohktjWzveWjgJHV2CPf2QuM6NGaxR4fj7HZfhl+/s1H1cxQWt3yw8rLrsVyWBmVYt1ALERuo/n+WYmfopKzkGZdXKqQ19yXFmVail+29xfDPUAoxJ6YtdVQ32xyamWbH9sGsBWE9pPq9epsJ2TJWumWoz1MJCLFj/8AzV77ru9pOmtg78Ye0+zRqUarMhHT/H+B3ENwwHWJqapEXHBEHAyZMn8fjjjyMrK8twA6699lpce+21is+/8MILWLhwIe6++24AwIsvvogvv/wSf/vb3/D0009Llu3Xrx9Gjx6NDRs24NZbb5Vd3/nz53H+/MUIpeP7oW780UREROQdarnTg5UvBiR7yncbb77PnrJPyVlPvG4p8eeAY/AcJ/eTLHUKzuvpFLrTAtkGxF8vOITCCuVgzuXpCRjcNxKbK2qRk5mER68fqbldM9MMGSmsbFu2oqYZWyr0F6q3RoVjWlaS7lRql4tm8PznO/WZEXLbEqfzcmU2UZ/IMDx45TDF/WxkQkx7Zxd+9c5OFB66uL9GDYo13KaOLsGejssT6eub2jqQ9+0hFC+bjY1lNdhVVY+jda34YJdyGr0V+eW4b1YmAKChzfUAhD/rFIAGN4IrALDim3K0C13IHpqIy4ZYtV/g4O7sNNS2XkD20EScbGzDC+vL3GqPpzieF50y3bRTACprW/DMzZdiS2Udsocm4tYJKbj99a2Sc8Smb2S4T/uWY9pFxxu3tK6ZIRbpfgkLsWBdbrbsd13xZ6vRNIyOjNSglPv9ZAsMn2m94HffQXoawwGWvn37OhW5FwQBKSkp+Ne//mVawwDgwoUL2LlzJ5YsWSJ5fPbs2SgsLAQAnD59GpGRkYiNjUVTUxM2bNiAX/3qV4rrfPrpp/GnP/3J1HYSEQWz4PlxTuRf9OROD1b+PCBJRMp68nVLiz8FHIPtOA2Mi/To+m0D4gWl1aoBFnGdl+9PNeONTZVYc8/lmDxUuQaLmWmGqpvO4aWvD2J8qlV3uk0js3+sUeF4+xeTMX9lkaTvRPeyoOWC88DhpQNjJX0+qU8v3dvqGxmOzKQYyeyQIfHGj7NtBowZ+1kuELX/uPEbcsWzIMyYfeVIPCA7LSsJ07KScMmy/1V9zSvfHLQXuR8QG4GjDedMb5c/cDec9f6uYwCAtcUnEOJCGq03Nh+2vz4q3N0EhL5X39pun4G1tvgEnvr8AN5ZOBnLvyiVXCPGp8Rhz/FGXzUTADDUYcaQ441bWtfMr387EzsOn8HmQ7X2YJIjpc/WP88dhT+s3Sd53BoVjqa2dtnglRw9NSjVfj/FRYX7zXeQnspwgCU/P1/yd0hICJKSkpCZmYmwMNMyjgEAamtr0dnZ6ZTuq1+/fjh16hQA4NixY1i4cCEEQYAgCLj//vsxevRoxXUuXboUDz/8sP3vpqYmpKQ4nzhERD1dsP04J/I3arnTtaaJBwt/GpAkIm28bgWGYDtO+pNpucY2ID6iv/HZCre9vhWHl1+n+LzWoF5sRBiaznWoLmPzyIcXU01Zo8IRGxGKpnPO6XGsUeEQBAH5pdWoPateX2Bhdhpio8IxPtWKaVlJmPfaVqdAg1xwBQD2npAGHyanKweaHFkszum7jpxp0/16G9v7rG70TMDA6IC9c00ez5W4Fw/Inrugfpa0tgtYsLo7pf8QF2rleEtyn96oFvXZKRkJsFggO2PC09woBwQAaG339JXL++pb23HHym0oXjZbMsh/1QsFMJD10CN+kZOOyzMSFG/c0pOiOD0xWjawYqP02WpL8SXeJ/FRvZxmm6gxUoOSv5/8k+GIyIwZMzzRDlVyM2Zsj1122WXYvXu37nX17t0bvXt7ptAYEVEwCbYf50T+xEjudCLq2fxlJimvW4EhGI+TWYPnjilgHFPIfH/KtfTh4vRLjrQG9d5cOAl5+WXYVFaLSwbG4Y1Nlbq2qVZnor61XXfdkP+akiap62IknRggfe+f7zmp+3Xu1MkQm7/KeB1gT3IsHm4k6GRUWkK0/fPBGh2O2hZ9+/RInf8Wb//d1cPRL7a3vQaOrXaMbeA61GLB/FVFPm5lz1bf2o6NZTWY9kMR9TVFVehwNxplAlu6QrV0Xu6kKNb72SrevjjoEmox73rlL98LScpwgGXdunW6l50zZ47R1UskJiYiNDTUPlvFprq62u0i9nl5ecjLy0Nnp3pBJCKinigYf5wT+RO9udOJjOKPruDhbzNJg/26FSznjivHyd/f+6mz+gMsSnUAJqVZEREepjqw9v2psy61b2NZjWKABVCuO7b46mEY98RX9mDDFpX0ZN7gSjqr9SWn7O/9/74/rbF08Cs8VCf5nZSRFIPRg2Kxx4VUY1oWf/Cd3xUcd0eoBfjPdydlP/Mu1rJRH8h3rMNBnrGrqt4e/NpS6f3ZRY6cZ46pf4dypV6Jq9+BbEGX/NJql14v5m/fC0nKcIBl7ty5sFgsTsW6HB+zWCxuBy969eqFyy67DOvXr8dNN91kf3z9+vW48cYb3Vp3bm4ucnNz0dTUhLi4OLfWRUQUbIJ9EIXITK4MTOnNnd5T+ftgnz/ij67g428zSYP1uhVs547WcQq1wF5U3BoVbsp79/Q1u3+fCN3LNrW1wxoVLpkhIX5ParW/BrhY68U20KhEKW/+mD99hUYfFxyXfqc3fhd6RlKM/d9JMf6XKSTUYsH41L4or2k2bdaMFsffSSUnzQ+uAM4p1rwl1GIBIOiuLaFXZK9Qp8+8TWU1mPlcvu5j90PTyMPGp1rt1/34KP21l8wQ1SsEraKUeNaocPzlp85lIrS+Qxn9rHL3O5AZ36E8+b2woLQau49JZ46RMYYDLF999RUeeeQRPPXUU5gyZQosFgsKCwvx6KOP4qmnnsJVV11laH3Nzc0oLy+3/11ZWYndu3cjPj4eqampePjhh3HnnXdiwoQJmDJlCl577TVUVVXhl7/8pdGmExGRTsE6iEJkJncG5fTkAe6Jgm2g05v8bTDe3/l7EM8fZ5K6ct3y9/0MBN+5o3ycgNjIcEmKElsRXjEj792sa7ZWPzltYAZLF7pT2Ly1cBI6ugSndarlrj97zrUB+GsvHaBruaq6Fuw51oCwEAuq6lp8HlwBpN/pXUlnNXfcIPu/B1vdq+3hidkHtllKcVHh2FhWg11V9RgQF4HFH+zVfrGLwkTV0bvTJ3lmO77KyhTdO1R33SAjms8736BtO5/1MjvoQ/L+8r/fO9Vg8pZWh3pDTW0d9hooNq5+h1L7LPL1bzdPfS88UteCuXmbJeeZNSoc63JzkOLH9Zr8keEAy0MPPYS///3vyMnJsT929dVXIyoqCvfeey8OHDhgaH07duzArFmz7H/bCtDfdddd+Mc//oHbbrsNdXV1eOKJJ3Dy5EmMGjUKn3/+OYYMGWK06RJMEUZEpMzXXyCIAsGv3t7llKt8Q1kNfvn2Trx37+War3cnD3CwCraBTm/xx8F4fxUoQTx/nUmq97oVKPs5WM8dueMUGxmORoeBSrmBSyPv3ZVrtngAS+8MmjMtF1TbIae4qgECBISFWHQfw5pm9YLwSrTOR7kBrN6hFsXlHYWFWEyvcSD3nT4jKQZThyYYKigubtfRev21PWwBP/E+GT/Eih0mzMpYNHsYLhkU5zRIeqK+DZW1LajycA2SY/Vt9n97In2Sr9NgNZ83P7hCgcXV4IrFAggmB8HkPrO0vkPNeu7b7vYAqFx+nep3lrqW86bUcHH3e52nvhc6fjYB3d8N5uRtQvGy2YbX15MZDrAcOnRINqVWXFwcDh8+bLgBM2fOdEo35ui+++7DfffdZ3jdapgijIhIHQd/iZSpFYLdUlGna2BKKWVITxWsA53e4K+D8f4oUIJ4/jqTVO91K1D2c7CeO47HyZXiulrv3eg1W24AS+8MmlnDk/GPwiOG2v/C+oOS7ei5G/dUQ5vq80q0zke5AazzGrfaL8xOQ86wJKQlRKP1fDtuzCuUBDPCQiwYPTgO3x1tlNwMJScE3X1C3Aal7/R/u+Myp+//aly9FmVnytdCmL+yyOkGL6PGpPSVpLjZe6wBN60o9FohbnHoLDMxRnE5V0X2CkXLBd/dKOwH9cwpQA2Ii8CJBv0zEo0Qf2ZpfYeyEQCkLfkMkeEhuNAh7diby53T07lTwyVE43nxzDc5nvheWFBarThDrL61HRvLapguzADDAZaJEyfioYcewttvv40BA7qnwp46dQq//e1vMWmS/3xZJiIi93Dwl0iZViHYrRV1us8XtXQlPUmwDnR6g78OxvubQAri+ftMUrXrViDt52A/d/QW15Wj9d6NXrPlgm56Z9DMGJ6MuMgwNLa5due83rtxGw2mPdJzPqoNYKn5rylp9vXOX1nkdNe3IAC9w0KRnZkoOd+mDk2AIEByE0iOgUFBx+//1Y3n8MhHyum0jtW32teVopEi7OqR/TByUKwkx39cVLikLXI3eBlVXFWPXVX19u14M7gCAJMzLqZau2Sw+TfzthkMrvTpHYazolkng/pG4LjKIPeoAX3QIQhIjY/GVyWnXW4nkSP98/aME39mKX2HUtLW7jwnrFNw/oxyp4aL1qwzrWtURlKM4mxGIzM1xXYfa1B9fldVPQMsBhgOsKxatQo33XQThgwZgtTUVABAVVUVhg0bhrVr15rdPiIi8jEO/hLJUf8S7MkfEMEq2Ac6yfcCLYgXqDNJA2k/+3sgyyx67+YF9L93I9dspaCbGsd+8un90zAnb5PLhcr13I0bFxGGtnbldGThIYB4HE7P+ag1gCVnUpoVgiAgv7QaoRYoBiy3VNQhf9FMAHAKnMjdIOUYzFBj+/7/0tcHVZcTD8AN699HddkvS07jyx8G7OXS76QnRsve4GVL56PXC+vL7P+O6hXi1eCK40CnkXNPL6Ppwc6e75DUJFq4ukh1+db2TnyzaBYqapoZYAkQMb1D0NbehU6NzhFqsWD0oFjsPdHk1fPCxlOzV6ZkJDhd28wI1jpy50aR6kb19157Vj5FpS2tZnXjOcVj1tEluDTbZOzgvqrPj0+1GlpfT2c4wJKZmYk9e/Zg/fr1+P777yEIAkaOHIkf//jHsFgCZziBNViIiIjIVVqFYMV3L5I+PWWg0xMCaUDblwItiBeoM0kDbT8HaiDLCKXrqwVAqMMdsbGRYfjz3FEur1Pumq11jZLj2E9SEqJQvGy2vVB5Y2s7Vm0+bGidWnfj9o+LxKmzygGWSwbF4X9uG2fofNQawLp0UCz2Hr9Yz2BKRgIsFuCK5ws01w10X99nDU92aotZN0gZGYAbGBehe72bypTT79gCQbb23zR2AD7efdJYw3/gWBDb0xwHOo3eSe/Jds0angwA6B8XgQqVOjQD4yK91Sxyw+Krh6O9qwvjU6144L1iNJ/X7uuxkWF48qZReOaLgy4FHia4WSfJU2eA3FC043eoBauNpclU48r36lNn1QMsJxqlKSrl0mqqcWW2yYzhybA6pI+0sUaFc/aKQVpp4GRZLBbMnj0bDzzwAB588EFcddVVARVcAbprsJSUlGD7dvNOMiIiIuoZMpJiMDFN/q6eSWnWgBgE9UcvzxuH7MxEyWPBNtDpCYE2oO0rtoGuUIffLaEWC6ZnJfnteZueGC07gOqvzNzPFTXNyC+tRmVti9nNtLMNwjzz00sxd9xAPHvLaLy5cJKkyHqgEu8/uetr36hwp3qoTW0d+MPafbrWr/eabfQufqvKTItBfSMxenBfzPxhsNgIrYHjpD69VZ/v1ycCT39WgkXv78Yz/3vA/rhaP7UNYMmxRoXjP7+ehjd/MRG/uSoLby2chPDQEGyrUE9DKqZ0fTfr3NFqv3gA7lsDqei6oJx+x9Fjc0ZhuocG+hZfPRyrF0zEm7+YaNo6d1VJB6DlzhNvE9d3uHyo+k1Atue3VcrXGrRxHAG0XeNt/fkvt1zqUltJn/LqZjx45TB0dQm6Z/Y1tXVg3uvbDAVXxqXE2T8bc6/IdLW5HlV4qE7xWmf7DmUmI9+rbdfi/rHqAWjH2SJyaTWNvF6vdbk5Ttd4W90yMkb3DJZt27bhzJkzuPbaa+2Pvfnmm3jsscfQ0tKCuXPn4uWXX0bv3upfSoiIiIiCQXio/H0qYQqPk7ZAvWPf1zj7R7+eMFvBH7i7n+Xu3BTf3W6mI3UtkiLka4tP4KnPD+gqiu6v1PafrQ5HqMWC+aucUwUZSYGidc22pTZJS4g2dBd/fWu70/bl3lPfyHA0tOlPGZaoEUBpOa9eg+VLUbqkL/afRtqSz5CVHIOy6mb743L9dF1ujlN6M2tUON5eOAnzVxa5dCe50vXdE+eOUvsdB+B2H21waf02Sn3P6ECjXmEhFtw36+KAsdIsL6N33TsG8gSP3bev3/H6i3fHJ/VRH+hNiLGdJ+o3UWf2i0bZ6YuD2pMz4tHe2YX5q3gTszecamrDS18fxJFa/TMEOwUBTQZrTRUfbUTx0UasLT6B6F6hRpvpNYfrWiAIgiTloOT55dchbclniq+fnpUkuW5ao8LR2NouSclnu+7aUjiq/U6RuxYr1VBxDFYbTavpzmwTx9mh4hpZZIzuAMvjjz+OmTNn2gMse/fuxcKFC/Hzn/8cI0aMwLPPPouBAwfi8ccf91RbiYiIiPxCRU0zCg/J39lnu4uKg9quY+0n4xg40IdBPO9wdz/LDaiKi8uaSRxcsdFbFN1fae0/PYXvjaRAcbxmyw0sTR2agEnp8ZLi60a2L/eemtraFdObyNG66/hUk/H6AOLgCiDfT5UGsOavLHI5cKB0fffEuaN3AO7iwLx7xMfelfo9ckIsgHhcMyzEgnW52VhTVIUtlXXIHpqIJ+eOwo0OgaSI8BDZAthqHAN5nggQKQ3UKhEvqZXKbbC1O0A0OT1edbnX7uye9WO7xj/2yX6PBMJIXuGhMyg8pH+2mxlaLvhviYUV+eXYfvji7DFbYHn30XrsPtaA8alWDE2IxKG6NqfXDk2IdPrOEh/Vy+l79aT0eHR0dUlSOCoFsOXO+84uwenclQtWG0mradZsk2lZSQysuEl3gGX37t347//+b/vf//rXvzB58mS8/vrrAICUlBQ89thjDLAQERFR0GPNC/I3DBwYwyCed7iyn5UGVN0pLqukoLRacXBeT1F0f6R3/3kytaDcwNK2ijPIzkxE/qKZqjNo5Lav9J5saabEBbxtg7yuzOZr1ZjBoodaPxUPYLkSOBC/T7n3Yua5I559ZHuN1gDcVSP64f8O6E8TpkR87F2p3+PIGhWO4mWz8f6Oo9h8qBbZQxPxo/59MCdvs32gc23xCQDdgRixcwaDK4C+vusuowXKLxfVBjyhUWz72A+zXTKSYhAXGYbGNufzIi4yzN4v0hOjPfY+ifSIjQiTBFcAYENZDS57cr1TMGPj72Zh2rP59scOL7/O/m/H7yxvLpyEDQerUXy0O0Dz+oZKXQFspfNBQPe5++wto3GisU0xWK31+az1evIN3QGW+vp69OvXz/53QUEBrrnmGvvfEydOxNGjR81tnQexyD0RERG5ijUvyF8xcECBzpsB7N3HGlSfd6VorK/p3X+eSi2oNcgPwJ4PX+/2td7Tsfo29P/hrnxXZvPZgglnTQiw2Gj1UyOBA9s+0eqLZpw77qQYSzZQ5N4aFY6mtnZ0iuIE4mNvOyYlxxt1r3NSWjxKTzdJAgLiu7tvnZCCWyekAAAyf/+5bJDC8SGjyb0c6weZESAyQ1FlHdZ9dxzjU62o0Si2Xdd8HkD3eSEXXAGAxrYOScDOX94n9UxKac8cz/H61nbMev5byWPzVxbJXt/0FpmXC2BrnQ+JfXrbr0VytD6f1V5LvqM7wNKvXz9UVlYiJSUFFy5cwK5du/CnP/3J/vzZs2cRHh44hQBzc3ORm5uLpqYmxMXF+bo5REREFECCveaF3J2rROSannw+ufLevRnAHju4r+rzrhaNdYVZ/cTI/tMKRhSUVttTq+gNNBkZ5NcbDNGqbLb0o732f08dmgAdZV4A6B9Ac0WoxaKao1/rOInpTfdoxrmjlmLs8TkjVfuokff0o/6xsFggSbeandmdpsvVujQR4aHY8LsrsOd4g2oqszVFVYZngOjlWD/IyD7xpEc+vHiO9ApVr61y+Idi4UbO5f3H9AfCqNviq4djxMBYPLluPw7VMUDlLY7nvlIKRaOp/cTngxnXYqb+DTy6AyzXXHMNlixZgmeeeQZr165FVFQUpk2bZn9+z549GDp0qEcaSURERORvgvGLrzcLSxMFu558Prny3sWD+d4KYM8YnqyaAscbs1fM7idGbgBQSi14pK4FM5/Lly1qnpKgPnBkZGBJb2pDI0ma5OqjmTWApldYiDT9mdzx1Eq/tDY3x+vpHrVmH8nVHahrOW8Puny+56TubRVVdqeMe/MXE+3pd9ytSyM+zmrn7pZKfXWAXOXpNLGhFgv6RIShoU1f7SFHFzrVg0vlNc3IL62GRhxGci6X1zarLElyyqrPor2rCydcqP1E5pGbgeJKyjvx+WDGjXhM/Rt4dAdYnnzySdx8882YMWMGYmJi8M9//hO9evWyP79q1SrMnh2YRQCJiIiIjArGL77eLCxNFOx68vlk5L0fqWtxKjTfNzIc41P7YvuRiznVPRXAHt4vFkWHnQsFD+8Xa/q25Hiinxi9AcAxtaDj8QC678yfk7cJxcvUf/O7MrCkldrQ3VkAZgygzRqWgPyD+gbm9dwhrZV+CbiYSk0vd1OEGUnztKmsxikI16e37uEl+zERH4MJQ6zYcaRe5VX61qlVa2ZKeoK95oqWUItF0o/1MLOGzJSMBNmZPm0XOiTXRzPtPtqIBau3ay53rL7Vvp+N7FPq9jH3l18RXx+NnrdTMhKcrjlm3YjH1L+BQ/cnYFJSEjZu3IjGxkbExMQgNDRU8vz777+PmJgY0xtIRERE5M+C5YuvNwtLEwW7nnw+GX3vcoP5DW3t3XdR/1AQ3VMB7IqaZtngCgAUHT7j8ePkqX5iuwFgw8EaFB9VTpUkp6C02ul42NS3tmNjWY3musye4ZmRFIMpGQnYUuHezAN3BtB2H2vC4eXX4Zdv7cD2I2eQFh+NnVUNul4rdzy3Vcr3O5tP95zAqEFxXk2vZySQ1QU49ZNmN2vY7DIpYLC1ok71unHbpFQ8Ikorp6Z/XG8cb9A/w8CxBou7wcHw0BC8PG8czrResL8nQRAks4l85ZsD1fZrgZF9SoFrelaSR1Iq+gPx9dHoeWuRme0VjDfikTr9txj8QKleSXx8vNuN8SYWuSciIiK6yJuFpYmCXU8+n4y8d63B/GP1rYbv4jfC18fJU9t3J+3Y7mMNqs/vqqrXDLB4YmCpo8tIojB57gyg2YJLf79zAoDu4JjRQW7p8VSfFfH8Vwft/5ZLxyW3P12ZPSSu/eMud6uauH+Eu4lr8sj1+4oa9XRWby2chI4uAWkJ0Vi4ukh1WUf1re1Ys70Kp5rOYXyqFV1u1nrZUFaDX769E+/de7n9+OWXVru1TrPEx/Sy9x+tdGLP3jIaJxrbMCAuAos/YCAmULW1uxdE9bWwEAs6uwTJtUru+qh0LVVSeKhO8YaIYLkRj7QZDrAECxa5JyIiIrrIm4WliYJdTz6fjLx3Mwbz3eHr4+Sp7buTdmzs4L6qz49Ptepuh1kDSxU1zdh+2PXZDWYMoAHS/ujK68XHc3J6gu72y6XjUgqY6Z09JBeEGzXIO2nxvEmu32sFNju6BHtgd2hyDCoMFiAXF5SPCA8x9Fo5Wyqkg7fuzooxy4bSGkkgUE1in964dUIKAODPn32PRhfrx5Ayx5pOMb1C0HzBOWw5ckAfJMZEuDQTxZ0Ufr7y1sJJ2FXVPZNz9KC+qtfHNUVV2FJZh+yhibLXUjXBfOMM6dNjAyxEREREdJEZBRmJqFtPPp+MvHczB/Nd4evj5Intu5t2bMbwZFijwmVnFlmjwj0a8FKilU7LkeNAo1J6MqMDaOEh0sFyuddbo8LR1NYOcR1xd/uTXDquDWU1+NU7O/HuPZdLHtc7e0guCFdyosml9vkzuX5vJLD54xH9sP6A6zNGzrWbMy9na0Wdvf2uBPc8wUgNmFBL98ybUIuFwRUPsEaFY11uDjoEwX7e//6jvbJpFeMie0muEZsO1mDl5sO6tuPD7uaywdYoyeeW3PVx77EG3PRkob1+1triE1gashfrcrPxpxsvweG6FoRaLJi/SnlGWzDfOEP6uB9OJyIiIqKg8PK8ccjOTJQ85qnC0hQ4KmqakV9ajcraFl83JaD05PNJ73u3DebL8dZgvq+Pk9nb15N2TMu63Byn42IbwPMN/aN607OSsOF3V+DNX0zCb67KwlsLJ+HNhZNkU6PZghH5i2Zi9YKJ+PnUNNV1t3d1Sa6Htte/+YuJ9m19u2gWsjOl/VbueLpb/By4mJZGTnpiNGYNT1ZMC7ahrMZpcN6WzcpxkCjUAtn+4JgWKkQjTZQvifv9UY19f6z+4vOnzuqvv+JJjrtW7rqhVy+tfF4msvWd+au2Y8Hq7aoD1MEozEsnRX1rOxZ/uMd+3guCoFizSjwjatbwZOQM837Q3Ju2yuwHweHaNzdvsz24YtPRJeCGVzbZ99Nga6RH20mBjzNYiIgoKIhzSAfzncFEnsSCjCTmTh0H6tnnk5H3vi43B3PyNknu0PfmYL7gduUI95jdT8xIO5aSEIXiZbOxsazGnlrFFzNXbLTSaf3llktxsrG75sWlg+KcZpVoXbdsqcxCAPyj8LDidv6v5DT+Z32Z/e8pGQmwWLoDHY7bEhcllzueZqV52iaa2aCXVnBn5MBY7BPNZrlsiBWlp89KlukSuh8vEqVuGxAXYaggvDe5mpow1Cm04ZqIsBCc67g4myU2IgyAgKZz+moCT86QngOO143TjeewRGeR+XY368IYERsZjkaFOls9geOgvVFRvULQKpPmS444cKIn0C4Iwg/1c/w4MmoC8buT+147LDlGMuNQrFMA3t9xFLdOSHG5Zponxig47uGfGGAhIqKAxgFAIvOxICMB7tVxoIt68vmk5737ejDfX/q5Wf3EzLRj07KSfBpYsclIikFYCNChMM4oLprdNzIcDW360mk5mvFD3Q0lJSekQQa5O8TlipLLyUiKUUzFZoSR4duLBcnVB1Rfvn08ANgDRDev2CxJuQYAjW3tKKtuRv6imfbl/vxZidcDLLbi6eNTrXh9Q6Vqv7e9//6xEarrFKcm7DQpAPv6XRMAwOka9+/tVSis6K75sPSjPbJ9PCwEin3Jdt2oqGnW3RZvpnlyt3/3dHqDKza2VHJaAdwV35RLUrypXV/FQi0WWCyCrmX9hTg4Kfd5f7Ba/dz5cv8p3DohxfDNC54Yo+C4h39jgIWIiAKavwyMEBEFE3frOFBw88Tdk74YzA/Wfq630LmNv98NW1BarXtAzzG4YmNLp6X2/gpK1Wtt6K134ViUXE5FTbMpg8+XZyRoHj+5QTk9tWLSE6NRUFqt2M761nYcq2+1F4QfO7gv/k+lXsndOenIzkrEhtIarFaZKWSBvsDRlIwEe+F0AIoFrJ+cOwrzVxa5VNS7scX9YyROd2j7v+MxWVt8QvH1HV3AxrIa2euj3qAZ9Qx1zed1LbfToX6O3utrdmYillwzHHes3OY3wbNQiwUxEWGytX2mDk2AIAj2+j+uXANONrQBMH7zgtoYxeNzRrr0mctxD//WYwMseXl5yMvLQ2envimZRETkf4J1YISIyNdcTYVAwS3Y7p4M1n6uN+1YoBxPrZROemml08rXCLAYsVVjW1p97+mbL0X/uAikJURjbt4mpxkkQHeaqcc+2a95/OQG5Rpb2xHnMINGLginte+/PnAaHV0C0hKi0aURFukbFY5Zw5MxJD5KNcAyIc2K7aLUY5PSulOUifeBNSocf/npaKfgkly/v2nFZhRXqb8PsY93HbMHMw6catJYWl1YiAXvLJzs9LjcMVEjTlsGyJ+73pKVHIMyjbv+yTdsZ+C2Svn6KzbuTEAZZJXOOi04UINdJl2jxUIsQIjFIkmzFhcZhuH9YlF0+Iz9sezMRPx57ij8Ye0+yfkw5YeZK1c8X+BWO9raL44Z6715QWuMQtwmvZ+5HPfwfz02wJKbm4vc3Fw0NTUhLi7O180hIiIXBOvACBGRr5lRx4GCT7DdPRns/Vwr7VigHM+xg/uash6tWRFmzgHQWpdW37s8I8Ge+kkuuAIATec6sKlcOuDmePyUBuW60D0D5a2Fk+wBErm+orXv/1F4BP8oPAIAGNhXPfVW7Q9312ckxWDiEKskRZHNxCFWvP/LqZIgyWOf7EezQ62SxtZ2p9pNtoFKcb+vqGk2FFzpdvHonbvg3g25ggAs/6JUcj4pHRM14rRlgPEAjViIpbuGjhHP3jIaiX16Iy0hGlsr6rBUZ70X8q6kmN4//MszM5rE1xfbrNOth9SDOa7Kyew+n78sOYnCQ91p9Gwz1uRuHnAMrj72yX6XzxGxK37Uz/7vhrYL2Hu8QfL83uMNaGprlwRItMYoxPR+5nLcw/+F+LoBRERErgr2gREiIl+xpUJwTDsSarFgelYSf8T1QLZBQcc0SeK7JwNNT+7ngXQ8ZwxPRlyk+/eGXu5QKNyRUiDDFY5FyR1lJMVgwhCr7HMTh1jtfU9rUM1xoNzx+Gm9vqNLwKzhyYp9fcbwZISF6BusPaFRf+XKERcHKt+4ayKmO6S8mp6VhDfumggAEH7ol0fPtMj2U1uASMxWa0fsrS1HdLVdbMrQi8cusU9vlSW1yZ1PRgZfAWmKMUD53JUT8sPrxRyDNXr0j4uw95PJ6fGGX6+XY1cLsUB3//MUH2/ekEHWSADw2DES9+eKmmbkl1Yje2iiR7bV3tmFX72zE4s/2Iu1xSfwuw/2YP7KIjS2ttuvD47SE6Mxa3gyhB/aqecc0Uqv9+j1I+3/npu32em6U/9DsFdMa4xCTO9nLsc9/F+PncFCRESBz8xCrkQU3Py9xoA/MlrHgYKbK3dPBsJ511P7eaDdDeuYFsaocItyoXCbk41tqs/HRYZL8vw7/m0zdWiCrn1XrpBmSZx+ychAnZjt+Lk7KFdR0yxJ0eOq2IgwSZBAKY1dQ+sFl+ulAM61do7WGwtmANKgyqWD+2K9Sl0ZvcTnk5FjKpdizEiAJueHWT1nWi/Y9/PhuhYsWL1d9zoAaYqyjKQYQ6/Va9zgOPSJ7CU59rZZDHuON2BXVT3Gp1rx63eLFWstecLIgbHYd9y9VHHuiI0IQ9M5fcFf27makRSDKRkJ2FLhPLskLjIMzec6ddeUkvPrd3dh3wnP7hO5tm8oq8H0Z7+RBMPlUmwZOUdiI8PwyNXDseTjfU7PrZw/wf5vrXpU4jpJSmMUarQ+cznu4f8YYCEiooDWUwdGiEifQKkx4I/01nEgdYEQZNDDyEBtIJ13PbWfB9LdsBU1zW4FVwCgXehOKyMIguL5+KP+fbClQnk7t4wfhP+akmbvJ/FRvZy+g9r6uZaC0mrFQeKGtnb8e3sVkmK7a7DIDaqFQL2Ogu34uTsoZ3S2hZKhCttxTGPnTuorG3GtnbGD++L/DAZIxH1/zGBz0smnJUSLCtLrf51cijGtc1cu7VtcVLj930p3/6sRz3q547Uthl+vRfz5sOFgNYqPNmB8qtU+YD2obyQ6ugQIgmBacOUX2Wk403oBWUkxeParg4rLvTxvPIoq6rClsg5tFzrx5f7TpmxfD2tUuKTeyYDYSCz+cI/i8tWN5/DS1wcxPtWKP1z3I8zNK5QESMNCLHjtvyYg79tDbtXvKdEZXInpFYLmC+5UfHHmONNQLsWWkSBmU1sHPt93GoeXX4cnPy3BpvIa5GQmSWauANr1qHZV1WNQ30j754vcGIUaPZ+5HPfwbwywEBFRQOupAyNEpE+g1BgwiycG87XqOJC8QAoy6JGRFAOrQ1FsG6to8A4IzPMuGPu53PVA/Fig3A2rtyD8g+/uQtN55ZoZV73wLTpEY32O5+PM4clYXaicUmrmj5Kd+onSd1Ctfa81WLf4w4s1LqYOTcCk9HjJHd05WUno6OrCtoozmsfvybmX4EaH1DaxkWH489xRqm0AzMspX3ysERsOdqfsUfp8cqU2iRxx+OASNwMk35aqt+fqkckYOSgO41OteH1Dpez5NDkjHo99st+l9yZXwForaDbNIfWao7tWbjPUBmtUOAb1jUR+aTXSEqKx50Sj4fchZ9HsYbhkUJzq7KUpGQmwWLpnJpntzilp9n26rbJedn+OH9IXN69wTgvlLfWt7aisbbHXOwGAT/ecdA64/lAQ/hGN2jgdXQLufXsHxgw2niZOTE/IxALgXIc0mBfVKxStbtY1cuRukXfx6x2DKmJa9aj+r+Q0/md9mf3v6TKzx2x1YVz9zOW4h39jgIWIiIJCMA6MEJF7lAZr3P0x5o+CbTA/GARikEFNRU2zanoM2/nUk847fyV3PZg6NAGCIE27MnGIFX0iwiR3hOsdePcmvQXh1YIrACTBFeDi+ZiZFI3Cilqkxqv3S6VUWeLvoHr3/aiBsarbEttWcQbZmYnIXzRTMqjW2Nqu627mR9fuR5PDXd9NbR34w9p9mtciM+89n7+qyP5vd9P6qKlvuWD/tysBInGqHq0UY1+WVOPLku4ZMnKBsOzMRLR3drk9K8cxfZA7d7If1aiV4yg1PgpXPF9g/7uvCfWQACAxpjdmDU+2//2rt3c5pYWSSxNlhnGD43Ttzx2Ha9Ha7l6KvFCLxa10XIfrpDPv5NoaYrHoTuXX2NaBTeXuBzK1CHC+ZpodXBETnyOuXEu0UnTNGJ6seJNJWIgFJSfOSh4Tf9+zrdesGSgc9/BPDLAQERERUVAKtBoD7gi2wfxAF4xBBr3nU0867/yV3PVA7g7w7UfqnR7TO/DuTXrTXFkjw1BvoFC97Xy0navfn5KviWJz4EQThsRHqc5Msd2hLCa37/cbqF9gaycAyYC0nruZta5FWrNKzJrB4sjdtD5qiqsu9usTGnV15IiLql81op/uFGNygTBBECTBCVc5pg8S4PqAfYgFMFJW57tj0hkrDQbOMTWTMxLs/66oafZYMEXOXofzT+5cqqprMWVG1ciBfbDXjRouL3xVKnm948yI6sZzmjNXHJlQVsnviM8RV64lelJ0rcvNwZy8TdLZgAo1cuS+73EGSnDrsQGWvLw85OXlobPTcxFUIiIiIvKdQKox4I5gHMwPdMEYZNB7PvWU885fuZtmyV+vG3rSXP08J12SosVs/yg8jL98WWr/W25mil6ujG8qXTfU7mbWuhZpzSoxMoOlT+8wnD2vb/BdKfVVaAjQ6ea0mRTJNchAwZMfiO+6n5ger/t1coGw/FL99V+sUeFoamtHp6hzKKUPcuemitiIMNOCJGbZVulejSWjOroEvL/jKG6dkCJ5XHwu/f4j5VonRvx4ZD/8dd54HK5rwbK1e3G03tgMIsfgzIayGtz9z+14/1dTkZ4YjZe+Vq4f0xN4M61lSkKUpCbO+FQrOroELFi9XfE1ctdtzkAJTp66IcHv5ebmoqSkBNu3K58IRERERBS4bHc9h1qkAyyhFgumZyUFzY8bPYP55F09OcjQU847f2VWmiV/u26opbmy0cqR766as+clfxceqvPqXfeuXDeM3MltG6A38vq3Fk7C6gUTkb9oJv6/6RmG2yfuZwWl1W4HVwBg1o8uzvKZbCBAYiPez66cT099VoJrXizAk5+WGNp/3y6ahexMaf0UufRBtiCqY9opcdBKzYC4SAPvRtnTN1+KaZkJ6BMRigGxvQ2/XnqN8f6Uii/3n0J+abXi/qpvvSD7uFED4yJRVdeCPccacNxgejYl24/U29vt6eueWFSvUK9tSy+5c8TVFGF6TctKwoNXDsO0rKQe/X2PpHpsgIWIiIiIgt/L88YhOzNR8pgr+Y79GX/c+Z9gDDIYCeT1hPPOX5mVZsmfrht6B5RtOfLlhIVYnM5Ho3yVVced64bStUiOeH9W1DQjv7Qalh+2rXQtm5aVhFnDk5GeGI37r8wy3D5xOq61u48bfr0c8QyUjKQYTErTV9Bbbj+7cj6tP1CN7081441Nlbji+QKM7N9H1/5raLuAvccbJMvtPd6AJlGNJMC1mypsx7OytgU/n5pm+D3JsQB46+7LsffxazBvcqrh14uvMZPTE1SW9Iz/O1CNBau3Y9Zz32L+yiI0OtTWuP7SgaZs50//2Y+7Vm/H/6wvMzU116d7TgBwnLHlWYP6mhOcc4c1Khz5i2baA5NvLpzkVGvQlYFuVz/zgvH7Hrmmx6YIIyIiIqLg1xPyHeutT0DeZVYxU39hJJDXE847f6V0PdDLH68bRlLuyeXIt0aF452Fk7H8i1JTaip4mmNOf3evG3LXIjW/fm8X9onSEk1KsyImIhSNohlEjunZbEYPjsWeY/rrTRyrv1gj5axMHQNXOA6UhobID7fGRYZJ3pPcfs5IisGUjAS3ZiqVnDqL6VlJsp8FBaXV2H2sAeNTrXjgvWKnAtr1re2Yk7cJxctm2x/TGjwWB60aWi/ggfd2S7Y9YYi+gJMWcQ2V60cPxAs60/PZrjGCICC/tBppCdHISIpBWAjQYcIMJlfYZm9dd2l/bKmsQ/bQRNx/ZRaeW+9++q3m854pS3CmuXuGzbZK782iO1SjXqfKG2zniLgelSMj3Uj8mSeup2XkMzDYvu+RaxhgISIiIqKgF+z5jvnjzv8EW5AhIykGU4cmyBbsnjo0wXBtCPIcueuBXL2QKRkJsFikRdj98bphJLgnlyN/WlZ32iXH83HWc996stkuazrXgbcWTkJHl3LxeSMcr0WhFouk9oqjEocC4EWH652WsaVnE9f7qKhpNhRcAaQVUlKs7t8d73gtUiue3timbz93dskP1yoVt5ZT4TAwfa69A9Of/UYS4FFS39qOjWU19n6sNXgsnsEjV6tl1xHn42mU437unikUj6LDzrVUHOvqxESE4Vx7B654vsD+2KhBsW4FVyYMsWKHG+/LNnvLds1cW3wCSz/ai2XX/QhPfPa96w3zoCtG2AIM7s3MM8LMGTju0KpjZ2TmWWxkGB65ejjmryySfGbK1aRSEmzf98g1DLAQEREREZnkla/LsPlQLaZlJeG+WZle2y5/3PmvYAoyKE2IcGGiBHmQ7Xqw4WA1io82SIIMctcIf79udN/dbpEMHNuEhVhk2zzth/RLjsTn48r5E7DwzR2mttV2N/SfbrzEvk8f+2S/04yiEKgPlHd0CU53aItnO8i9NzG5O7HF711ulpOtTXoGUeWK1LtS90A8C2JY/1jDr3fkeC3SapPcfhbvO0EQZANMgDQQ9t//2Y+KWuVtHWtok/yttE4lu6rq7cdca/A41ALkl1Yj1GKRnbXk7iQR28Czo9fnT3AK7Fqjwp1SnDW2tTu9//3HjQXmADgFx25/favsDQCu6ugS8MRn3yPUYnFpNqAn9Y0Mt/cHV+oMydG6JomNGhiLfSeMHzOzhFos9tlPctd/IzM561vbcfvKbWh2CJbaZjWJg8hagun7HhnHAAsREQUFV6f0EhGZobC8Bre/cfGO4C0VZ/CXL0ux5p7LMXmo93KL88cdeYraneBbKuokA63kW3JpgWyDonLXCH+/bhSUVssGV4DuQVDx3f1GXDmyHw4vvw5PflqCTeU1SI2Pxlclpw2tI9QCdIqaZkudlZIQZd+nT84dhRsd0pZF9gpFywXl1EHiNE9H6lowN2+zU9qzdbk5SEmQDrarHXvxndhys5xGujBoKr6TfP+xRkOvnZQWL+l3ZgwUO16LjMx+ktt3Wckxqq8/Xt+G/zcpFRtLa1BRe9j1hmsYn3oxrZdyWlAgNjIc81dtN337y2++FP3iIlR/ZxmdKSXmSvhisDVK0hZPxUB8HVyJdrhW2M59s3UBePaW0TjR2IYBcRFY/MFexWWrXAimSnp9AgAAZ8xJREFUmiEE3f1M3K+UZpoYSY3Y6BAEBOSDyERqWOSeiIgCWkPrBcxfWYQrni9QLVRIRORJ4uCK2G2vb/VyS4g8w5XCyuQbcmmBbHfj+qM1RVV4aE0x3t9x1P7YE+v245oXC/DkpyXYfaxB9fW7qtxLefTo9SPxxUMzDAdXAGlwBbiYOkuy/rX70OSQCqqtXb0ugzig5BhcAS7W5nCk99jbBsPFxaL/6kJqOHGAorzWWH2Gjk7pPnh7yxHD25cjvhYZKUAtt+/Kq9Xfk+0oLZtziXuNVmGNCncKIL48bxyyMxMlj8VGhnvs98/kjATMGp6sa6A5PTEas4YnezwwIT7OajcAOAoLsQTUQGinxpQyV2aOKUns0xsPXjkM/fpEqC6nNzWe2eJkZkQpfbY5XuMevmqYS9vkdxvSizNYiIgooKn9kDQypZeIyFWvfK1e2HVFfrlX04UReYKRO8EDUbDMhK2oaZa9Y9cf78bde6wBN60otAcT1hafwCMf7pGkqPr+lPag/cA459odvjqejvtZ6XhopeGyzWApKK12Cq7YONbmcOXYO85e0ptWR06owVoQu442StpUWFGr8Qp9HK9FajXKbGnXBsRGyu47rb1wuSjFmSdSzinNVnBMAzggNgKLP1SecSAWYtFfS0OuIL24v6ilrTNSB8MVNU3n7G0yEmTo6BIQFxmmq/6NPzjnUJzGFlwtXjYbgLn72XbuaAW1fUXuWqj12Wa7xp1qbHN6To9A/25D3sMACxERBaxAGkQgouC1+ZD6oNDGshoGWCjgZSTFKBYSnjjEGrCft3pTKgUKPTON/OVYiYMrNq4UUU7s09v+b385nrb97Ord5bb9omf2jm1g24xjbyStjuM6O11I9PTZnhO4/4osAMDUjERdATUlSsEAuRplIRZg5nP5isErPRyve44p53IykzA0ORpLP9qnshYpa1Q4ll77IxRW1CF7aCJunZACwDlgKNfP9crJTMJ3x+p1BRjkCtJPz0rC4muG4c6VRbJp69q7uuxtdSdgp0UcUJowxKqypLPGtov1c0ItUE2rZiQg5S31re346YpNOHymFROHxJuyn6dkJNjPnf6x6jNY/JHS9e2JdftRWFGLSwf1VX2943G2XU/85fOS/B8DLEREFLACaRCBiIJX9tBEbKk4o/i8K7UByDeCZRaDpyilyynTSKPjz4JtJmygzDRaU1SlWFfFqAMnmuyFyt05nlMy4lWv5UbY9rOrd5fbXj92cF/V5cS1Ocw49kbraIjXOSU9AWuLT2huQ6y2+YL938vmXIJVhYd1vW5KRgIsFkiKmk/OiEd7Z5dTMMAWXBPP1hn9+JdupzkKD5NPNPXo9SPt/36vqEr3+vpGhiMzKcYeOFhbfAIfFx+HIECS/mp6VhLOtXei6LD+vupYEH7/sUbcuGKz0zlogXTWjlxB+s3ltZibV+v02vrWdsx6/lvJ45PSrIiJCJOtcWGm4qoGhIYAnXqrtAM4Vt+GeZNSkV9arbpcVK9QNJ+/mM4uuncoWs6rp/gzQ0R4CM61K7+hnVXdNY++2G88taGcAyebJOdOoHG8vn217yTufXuX/W+14O34lDjERPSSneVGpBcDLEREFLACZRCBiILb/Vdm4bn1BxWf5+wV/6PnbuBAnsXgCQWl1WhQGCRraGt3udC4LwXjTFjlAtjevxtXLWC5pVJfvQQ9DlaftW/PneOpleCqb2S44jmgRO14xEaGoamtQ/U4zRieDGtUuOxMC8faHGYee3EwQu86b5uUit9/vNepLo2aK0ck2/9doDHQ/ewto5HYp7ekP4lnpTz2yX7V4JqtP1Y3nTOlhkThoTrNPjUwTn0mwOKrh6O9qwvjU614fUOlU/vFASSbTWU10BtHsB0nx2vzM1+WyhaF13PoOgVBcUHHoItjcMZT1NqkpK75PADt35OtF6TBlLYLnQgLsZgWIBa7OzsNta0XkD00EV1dAh75SF/aNzMYvbZ5wm+vGoYuCNhWUYfCQ/oCiErXN3FwRUtErzCnWW6B9tlPvtdjAyx5eXnIy8tDZ6fnI89EROQZ/jSIQEQ925p7LpctaL/mnst90BpSohRIae/sQlGl9Md8IM9i8AQjqYoCRbDOhFWrOeENegKWrsx2UJI9tLvYt7vHs79MLRexK0ck4/4rsnC4rgX7jjfg+a+U629tq6izb0vpePx57ij8Ye0+zeO0LjcHc/I2yaZjcuSJY29knZcMjMWe40261hsbESa5ZmjNJNh/ohGPzxkleUz44fv/0TMtqsG1W/9eiO0eGOzX6lNagZARA2Mxa3iyYnDQlXWKyR0nI9sKZgkxvbUXgnN6sC4B6PJAyjMAeGPzYQDds5dGDYz1yDb82fMqNysp6RQE3DVliOSxJ9btN7QOcbA0ED/zyT/02ABLbm4ucnNz0dTUhLi4OF83h4iIXOTrQQQiIgCYPDQBh5dfhxX55fY7+Tlzxf/IpQ/aVF4jm189kGcxeIKRVEU2/p5yLRBnwurZp3I1J2zLeuOY6EnTddukVPxh7T5T7gK31alw93jGRqoPj8RGXEwzdarxnOqy4neldjzEhcrlCoUDQEpCFIqXzcbGshrsqqpXXE5rW0Y49hM966yoadYdXAGA4f36SP6Oj+6lunxijHqtHTU7ZWpHmUGrT+ntk67W6pGzaPYwXDIoTvE4mbmtQHZ5RgIA/90fJSf0n0s93cI3d+Dw8uvsfxdWqNdGlBOoN1SQ/+ixARYiIgoOZv2QJCIyw32zMhlY8VNKd+1qje/yR3c3I6mKAiXlWiDNhHVln4rvxvXWMTGSpmtdbjbm5EnrQLhSUNq2TneP56zhyfhH4RHF568QpbOanB6vui7b4K2Y493RRo/JtKwk3bPEXL0TW61NWuvcVmmsfs32I/WS/jBGI4g7JuXi83JBPDXuxPHCQiwQBMj2KVtRcKUgpt4+6WqtHjnXjR6oepzc3VaoxQKLxTkdWKAyc9+bychMJQJW5Jfbv39PzUhUrbkixx9vqKDAIl+Vi4iIKMCkJ0Zj1vBkvxoMISIi/+HqXar80X3RutwcWB0GfuVSFanNYPA3L88bh+zMRMljtpmwFTXNyC+tRmVti49ad5G7+9Rbx0RPmi6bkYPiUP7UT/DsLaMxd9xAPHvLaFQ8fR0OL78Od+ek40f9Y3B3TjpWL5ioe51qx1NLisZA62DrxeczkmIwRSaIAnQXYNfzfdQfzxP32mR8wH1rRa39HNMaULYN6NuCeJ060jSZMeDV0SVg/JC+kscmZ8SjvbMLVzxfgAWrt2PWc99i3mtbcfvrWyWPzV9ZhD/PHaXZJ22BmFCLViWg7gBHnMJsK719T68pGQmYOlTaz7MzE7EuN9vpsyAsxIIQ7eZ7RHy08SDxy1+XYd5rW/DFvlOy+96swVLHYzUpLV7x+JHrNoqCwsvmXKL7daEWC6ZnJXEMgdzGs5qIiIiIiIKeK3epWqPC+aNbRE+qokArHC83E9YaFe6UftSXM3Dc3afePCaupOm6dUKKPc2XzaPXj7T/u6JG/U5k8TrdmdlstIbLMz8djRtlaqP85aejNbflj+eJu22anC4fcFKz9KN99n9PGOKcZlDMlXRa44dYscOE9GD3zcpEWkK0vU899sl+p0DUlgrngvSby2vxh7X7fkgFV4Pio8op3uTSHk8dmgBBkK5bqX6P7Rp1x2tbsOdEI8YO7ou37nauA6e1/xZMTUN9W3eh9atG9sMD7+12WmaQ1fmzwBoVjrl5hZL6JGEhwOhBfbHraIPqNl1xd04a+kSGY3yqFd8cOI3VKrPP5HxUfBwAsKWie+bV6MGx2HPsYlqu1PgoHDYhfdiPR/Sz124SX49s+25AbAQWf+idYvaxEWFoOteha9mY3qFoPh84Nasdz6mV8ydg4Zs7nJa7ZGAs9ovSrzG1OJmFARYiIiIiIgoKavUllFK1qKUkqm9t97uAgD9QS1VkZuF4b9ZwEUR9Qk8NEW9yd5+aeUy0mJV2TXzsXeFKiiyjwaElH+1xSplX39qORz7ag3fvcR7YFnPlmHj6fHC3TRlJMZiUZkWRi8Xki6saYI0KR1Nbh1vptP5yy6U42XjOHsiYv7JIsT/eMz1d1yC3bZ+nJ0YbKhJvC07d+rdCbBcFemzBkLqW87pq3cjV6XFcdv3+kxjzxFf2bWwsr0Paks+w7LoR+MW0DPvjWvtvdeFhAN2F1sNCLOh0+IAUXwvFnwXjnvjKKW1YRxdQWdeC380ehk3ltYiNCMeXJad17Tstb2w6bP+3VnBOD3FwBQDqWy+4vU4AmJgWL3s9su07rQCyO6xR4fjrvHGSGyIyf/+5rvRugRRcAeCUnvfKkf1wePl1ePLTEmwqr0FOZpI9cG8kAO+PteQKSqux+5hy3S7yDQZYiIiIiIgooOmtZSB3h/DIgbHYp1KYmTVYjDGjcLw3a7joLZbt6ZkFaoM47u5TM46JEXLnmd67hOWOx6iBsaqvMSsYkZEUg4lpVmyXCRBMSrPaB9ePnGlFqMWCwkPOMxYAoPBQnWY/MXJMvHU+mNGmuubzsq+NCregtV19ULdTEFDf2u50DOTSaSnVgwoLsWDxBxcDJdOzkmRne9jWGSeqH/XpnlO6AoOupJvc6TCLZnN5DWY+ly95D7ZjKg72ah178cD9U/9bKrvtJz47IAmwGCE3EC93LSworZY9HkB30PHZrw66tH29zJil5KhRY6bH0MRozBk3ENsr67CpXLn+0M4j9RgQF+E0ID5t+dc43ngOfXqFmtpusfrWdgy2Rtm3WVBa7bXaORYAoSEWyfZ6hVpwodP87S+/aRQAIHPpZ+gQgHALUPZ0d9H71Zsq0Qmg/FSzPcCiJwDvynVXLvDxxLr9KKyolQR45KwpqsKWyjpkD02UzOgUf5aFWIC5eZudZk2uy81BSoJ/1hLqSRhgISIiIiKigKZ3xoFc+qCquhbctXq74rrDfJVUPkCZMYPBmzNIjBbLNjvgpmcQx9196urrXb1z1500XXLHQ5zORY74HHU3GHHwtPzd5AdOncX8lUW6Zy5sq6hTfc9Gjom3zgd327SpvEZxNqBWcEXMMR2XY/H4UItFcTDfcfB4c3ktFn+4B+Gh2hU19AYGXUk36VhfplOA03vYUFaDGc/mo6FNOnja6LCc3LG/47Utqtu/842t9nRhrtYjc3S4rgWCIODImVYUlFabsk6LBRCX1rH1vRvGDMDmQ7XISuqDZ7+SDyR5W0ZyNEYP7otPfkg1puTDncfw/s5j9r8dgwyNLs4UyUqKxu+vH4nTjeew5CPl2Vfiz6zdxxpc2pYrBDifj54IrgDAko/3YcnHF9MNtgtA2pLPJMt0oPuxUQNi8OmDMzTXed87u5yC6BvKavCrd3Y6zVA8UtfiFPiI7hWClgsXz/zvTzXjjU2VWDl/Aq4c2c/++N5jDbhpRaF9X60tPoGlH+3FOwsnIe/bCsn1KMwhYAV0X0dueGUTdj82W/M9kWcxwEJERERERAHLlboB4rsXxQWy5Xjrbs9g4s4MBm/WpjCS6sfG7NkeegfP3dmnRl9v1owJo2m6lI6H1hkoPkfdCUYUlFajsU1+4P7suQ5sKtffV/RcNfQcE2/XanGnTWZdKsXpuAD9s8zkdAoCtlTUORVf1xuAl9u3GUkxsgOdctRSUMppcOh/coEkuWO/50Sj6nrFA+tmFW9f8U25JO2ZGZJieqP67MVZUOKZRrdOSMHDa3abuj13rC+pxvoS7cCSY3DNrCDDa3dNtM+qUyP+zBo7uK8p2w5k+05qp2SrqGk2NEPRMbgCQBJcEVv45g4cXn6d/W9xcMWmo0vAba9vQ6jF4vS4nIa2dmwsq2G6MB9jgIWIiIiIiAKWu/UlvJ0+qSfwZqFxdxi5k9toDRE9jAyeu7NPjb7e2zVobDMTTjWec+n1tnPU3WCE1t3dRgbKL8/QLviu55h483wwq02uUjrHjM4yk+N47PQG4MVsKXwSo3rpDrxfNkQ+5ZwZxMc+KzEGu44pB1mGJ/ex/1t+2Nc4T6TlmjNmIKYPS0Lx0XrZ+hIlGoGknuTtLYfxxxsuwdtbjqgut+KbMvxkzECkJUQjxYXZV8Eoc8lnKBcFORxtq5QPrtifF81QVEuPp+TJT0vw6PUjsaaoSvVaIp5JqOWbA9UMsPgYAyxERERERBSw3A2QmFWUm5x5o9C4O4yk+jEyW0QvVwbPXdmnRl7vzRkTRmcmOM4GcDxH3Q1GmHV398QhVkP7SO2Y+CoA7E6bXCU+x8TpwFyZuaKXngCVYwofLT+fOgQzhifbg1PzVxY5fb6YQXzsf33VMCxQSXWZe2WW/d9mHT9PzO1cf+A03thUaf/bcebcyIFx+F4hjV9Pc+BUd+rEwgr14OP7u47j/V3dacyykmM83q5AoF5dB+iuIKNM3PddSbtmmw25RSOQY0R8TC/T1kWuYYCFiIiIiIgClhkBEnfTL5F5vBnw0trWn268xKXZInr54+wpb86Y0DszIdRiwaT0eISHhqieo+7uzxnDk3WnflITHhbicv0aR/4YAFZqk2P9DD3eWjgJHV2CfT81tF4wVOvGXXrOMSPBFQC4ckQ/yZ3kcp8v7pA79kb6fkZSDKxR4YbvuveGow7XH8eZc/dfkYmPNGqemGVQ3wgcb3BtVp03hFgseGhNMZJieuN76As6lWukE+sptAbCJ6fHqz4vnqHoSmA+J7P7+jAlPQFri08Yfr2c60cPNGU95Dqz0i8SERERERH5xMvzxiE7M1HymJEAiS0tTv6imVi9YCLyF83EmwsnGao3QeZx93iata30xGjMGp7ssUFs20C1Y571UIsF07OSfDJ47q2gj22mjJ67+rMzE/HMT0drLufu/qyoaVYdSHes46Gk8FAdrni+AAtWb8es577F/JVFToXKjXhy7iWIjZQOCcZGhuHPc0e5vE4tFTXNyC+tRmWtfI0qufNmwhCr7vXbjsm0rCTJOfart3d5JLjieOj09gmtFD6OrFHhTml6HD9f3vyFe2n2LBZgyTXDJY8Z6fsVNc1+GVwB1FO5Ad3vc8zgOK+0xZ+DKwCwqbwOa4tPYGO5/lkQJk+iClgPXz1c9fmMpBhMUUjzOCUjQXI+zRieDKvB74qPXj8SAHDbpFSEqXywOJ7PSozOmiTPsAhCzz7FmpqaEBcXh8bGRsTGxvq6OURERERE5CJX61OQf/Lm8fRV32lsbXe6u92VgvJmkktpZLtr3qwaLPml1aopjZbffCn6xUWoplmSa5M7+1OrTaMGxWLf8SY9b0/C3X3njeNhI5e2TW3/OZ43Y//0lVOhdgBOM4Pk1llR04wrni8w9f3YZCXHoKz64t37evvEQ2uKdd9hbo0Kx7rcHKQkqAcptfqZ3m0VL5stmSkVH9VLV993d/vWqHBkJcdg55EG09OeKVm9YCJmDU8GIH+OJ0T3Ql3LBd3rC7UAJtWapwA0JSMe7907RXUZI58lR+taMSdvkyRwGQL5ekeXDIzFZw9Ms/9dcrwRc/I2S66PYSEWvLNwMvK+PSTZ/tShCRAEYEvFxaCar78v9AR64wZMEUZEREREREHB3foU5F+8eTx91XfcLV7vCd5Imac1U2ay6C5hI3Vh3NmfWm16ed54HD3TiuKj9RgQG4nFH+7RtV536td4syYOIJ+2zTFNk5j4vKmoaZYNrgBAR5fglA7M0bbKMya8A3mvzZ8AAIb7RKhGLYZpmQmYkB4vW5BdiRk1UOpb23HDyxuxVxTwsw2+anEljc2i2cPQKQj29yk3+OxJoZbuwJDt2Dme4599dwLPrT+oe32dAvDsLaNxorENR+va8MGuY4rLLr56OM60XMCm8hq0nO/A0Xr/ntniS3fnpGP/iUYcrm3GySb9AS9v03OuGvksSUmIQvGy2dhYVoNdVfUYEBeBxR/slV12/4kmyXV75KA4lD/1E7y/4yg2H6pF9tBE3DohBQAweWiC7Pb96fsCXRTwAZajR4/izjvvRHV1NcLCwvDHP/4Rt956q6+bRURERERERKSLPwUHzQr6qNUhMVJbxJW6MK7sT7U2TUqPx2Of7JcMKFujwtHY2i57l7LedmrxZk0cd4M5Wm3t6BLssxDk6Z9SYOsnk9Ot2FRei2lZSdhUXovCQ87pkqYOvRisM7qvOjXalNCnNx68cpihdSr1M6McZ1PJvXe54Jje/ip23eiBkn3neI3Ye6wRLxgIcCgJsUjThIVagNjIcMxfdXHGje2OffE5Xl5rvLZIR1cXRg/ui2+/r1ZdbmNZjWS2Q9qSzwxvq6fIzkq0p79yZz+FWYAOnaeGBUauHN3um5Wpe1kjnyXTfkh7mF+q3qfkrtu3TkixB1a0tu9P3xfoooCvwRIWFoYXX3wRJSUl+L//+z/85je/QUuLfJ5QIiIiIiIiItLmag0aW6FyrTokemvteKsujFqbLBY4zexoams3lJbFlXZ6871rBUi2VtSq1mXRGlxSqzUAAJPT5WseyBmdEofN5TV49quD2FJxBn/5shTbKuowPrWvZLnpWUn42x2X6V6voykabcoemqj6vBK5fmaUnkFlxxomgLEZNFq1amzXiPe3V+lep5rLHOr49IkId6oXs6GsBr96Z6fkMa3jJGfpR/uwYPV2FB9tVF1OPNuhgkXiVYmvR/fkDHF5PXqDKwAQ1SvU0LrX3HM5Xvm6DPNe24IV+eWay2vVo5Ljzes2+Y+An8EyYMAADBgwAACQnJyM+Ph4nDlzBtHR7LBERERERETUM6nNIPEkvWmm9M6UMTLbxaagtBq7jzUYSt0kbtOUP6/HqbMXMCC2Nx6fM1K2Nkin0J2qSZz66rFP9htqpxLxsTP63l2lNSi49KN99n/L5f3XmhkhVyxe/D4zkmIwdWiC4iyUP990qb2fXPVCgVMNjU4B2HOsEfmLZpqWPue2San4w9p9sm0PC7HgsiFWSeoqveT6/s0rNnus+Lz4jnml8ynkh3aJ26A3NWB183m32ieuKWTbJ6EWSGauiBUeqsOGg9XoFLoHq9WOk7vum5WJJ9btR2FFLYbEB/Y4o+MMIbPWYzt+giDYz4e3th51f0M6tFzoNLT8ba9vtf/bFpxdc8/lmDxUGqQzWo9KTOszS7yfOBMlePg8wLJhwwY8++yz2LlzJ06ePImPP/4Yc+fOlSyzYsUKPPvsszh58iQuueQSvPjii5g2bZrTunbs2IGuri6kpDhPqyIiIiIiIiIKdu4MDLnLlTRTetKd/GpGhtN6OwUBuTOHSh47UteCuXnSgWq9xccB4Pcf7Ma7O47b/z7RdF6z8Lo49ZW79Wvkjt3UoQmYlB4vKWxsdk0cwFjqqg1lNfjl2zvx3r2X2x/bf0x9JsCBE032/aTUR5+5eTT+sHafYt9NT4zGmqIqxYH0ji4BOw6fkU2146olVw/Dk/9b6vR4anyUpG+4co5V1bVgz7EGhIVY8PbCSbgxr1Dy3kJDgKjwEJw9fzF8FRsRhqZzHYbeg+Md80/OHYUbHYpyx/1wnnQIglOAak1RFbZU1knqQ4hd0j8WuzSOv1hGYjQqRDMCxP3Zdj14r+iI6joc04b99w0jsfST/U7LuZJCyubG0f0lqa6+PxXYM1h6hYbgXIcrSeKkIsJD0Hrh4nr6RISh7UKH5rXSX932+lYcXn6d5DGj9agcyX0WTEqPR0dXl9vXDfJPPg+wtLS0YMyYMViwYAF++tOfOj2/Zs0aPPTQQ1ixYgWys7Px6quv4tprr0VJSQlSU1Pty9XV1WH+/Pl44403vNl8IiIiIiIiIr/h7sCQOzxVM+TOVUWyj9+xchvKn/qJ/W/H4ArQPctkTt4mFC+brbkdcXBFL/Hgtbv1a+SO3baKM8jOTDR1ZoYSuUFBJVsq6iQBM606GAerz9r/rdRH/7B2n+b+21LpPMNFsp5DtaYGWOSCKwAkAQLA2DkmFwgMC7GgyzGwJVgwLjUB90xPx66qevuMrPkri3TXcJk4xOq0Dx9duw9NbdIgTVNbh33/25bfe6wBN624GPRZW3wCSz/ai3W52Rg5KM7+2o/uzzFUc8Nx3+093iCTck89pZzY5vJaxT7rzoSNT/accuPV/ue8CcEVAJLgCgA0tLVj+5F6U9btKyvyy+21WdytRwXIfxbYZjiKeeuzmTzP5zVYrr32Wjz55JO4+eabZZ9/4YUXsHDhQtx9990YMWIEXnzxRaSkpOBvf/ubfZnz58/jpptuwtKlSzF16lTV7Z0/fx5NTU2S/4iIiIiIiIgCnW1gyHHgVa4Wgyd4Ive81oyF93d0p6IpKK1WTLFU39qOjRpBg2nLvzbULrX6FK7Ur9E6dgBcqoljhG1QMH/RTKxeMBG/na1ewH2raFZNTeM51WXrznankdLTR9X2n6fqosh5Yp3zjAglRs4xuUBgR5fglL7Jts7B1ig8eOUwe7o7uRouSjVuyqqlgS8j1whxcEXczjl5m5228zuNvqLGFgQVm5wer/v1egJN5F6wKdiJPx/03Cigl+1aJvxwfvnqs5k8z+cBFjUXLlzAzp07MXu29E6T2bNno7CwEAAgCAJ+/vOf44orrsCdd96puc6nn34acXFx9v+YToyIiIiIiIiCgZkDQ66wpZkKtUgHe7WKZavRM2MBAHYfa1BdbleV+h3WxxvUAwSOzE7T5etjJ2YbFEyM6aW6nPgon2xS33/HG9oAuP8+b5uUqhhMCAuxmDp75duD1YZfo9V+tUCg3nUKMkPlSkHIhrZ2lwaP9QY2bXKvyMLh5ddhQmpfRIaHIKaXseFGxyBoRlIMpmQYL14fbPTP4yF3iGt1eeJGAX+6vpNn+HWApba2Fp2dnejXr5/k8X79+uHUqe6peps3b8aaNWuwdu1ajB07FmPHjsXevXsV17l06VI0Njba/zt61DuFl4iIiIiIiIg8yRMDQ0bJ3V3vTjBC74yFsYP7qi43PtWq+rw1Wj0HflJ0uH1mR/6imXhz4SRT8+b7w7FzNFlj308WDYAPTYpRXTYruQ8Ac97nutxspyBLWIgF63KzNV9rhNZ7kqPVfq1AoJ51yqVYUyMOLurd/3oDm44+uC8bB/77WvxyRqbu9tk4BkH//l+XYbpo4LsnGjUw1tdN6BFs6cE8xR+v72Qun9dg0cPicPeLIAj2x3JyctDVpT+PYO/evdG7d29T20dERERERERSFTXNOHKm1aM1I0hKqVB5qMWC7MxErxwHd+uQOLptUir+sHaf7N304hkLM4YnwxoVLjs7wBoVLrlDWc77v5yqWqT537/Kthfg1uJK3/eHYyfXpqlDE1B4yHmwferQBAiCgPzSaqQlROO/Lh+C9QeUZ3z815Qh9nW6+z5HDopD+VM/wfs7jmLzoVrF4utatI7T0p+MUH1PYnrbrxUI1FqnUn0INVrBRTlT0hOwtviE4vNKqdhs+/S6MQPx3PqDhrbp2E65mTrWqHA0trbDnGoinhcCuNzW2IgwWKPNG7+0wJw0YSEWOKWzC2Rr7rlc8rcnaom5et3j96jA4dcBlsTERISGhtpnq9hUV1c7zWoxKi8vD3l5eejs7HRrPURERERERHRRQ+sFPPDebskg4PSsJLw8b5ypd/yTPLlC5Wans9JDbzBCj3W52ZiTt1kSZJGbsbAuNwdz8jZJgizWqHCsy83R3EZGUgySY3qhuvmC03PJMb10vRd3+76/HDuxv91xmVObbKmbxAEprTvtxcfOrPd564QUlwIreo9TRlIMhveLQenpZqd1OA5Wx0aG4c9zR2luWy0Q6EhunVqDv07riAiTBBf1Dh7rDWzayO3TH/Xvg+9PndXVzhALnIKgcjN1mtraEeew/0YNjMW+E+bXVx7YpzdO/FA7yFVRvUPRfP7iuKORgEvTuQ7DwTQ1ZsVE4iL19V93jRzYByUnLvafsBCgQ2bnRfey4HwHZD8f9p9scgrCrsgvx8ayGkzLSpKdueKp2SZGrnv8HhV4LILgP9WgLBYLPv74Y8ydO9f+2OTJk3HZZZdhxYoV9sdGjhyJG2+8EU8//bTb22xqakJcXBwaGxsRG8upd0RERERERO6Yv7JI8S7NNxdO8mHLehazZpD4E70zFv69/SgKK4zPbLj99a2KszXedbjLWY5Zfd8fj524TY99st/pfWoNHOcvmun0Xnz1Po0cp3mvbcWWCvV0WWqvl3O0rtUpEBgWYkGXIC10L7fOippm1ZlWjmIjQrHn8Wt0v158nEqONyoGNkcOipO8Tm6fGiXetlY731o4CR1dAtISoiEIgu59EmoBYh0CBLaB65e/KcOm8hrkZCbh0etH4md/34Kiw2dcfj9yQgCnABF16xUCZCTHICczCQdPN7vdn8JCLCh/6idOj6ct+cz+78PLr5N9rSe/x+i57vF7lP/QGzfw+QyW5uZmlJeX2/+urKzE7t27ER8fj9TUVDz88MO48847MWHCBEyZMgWvvfYaqqqq8Mtf/tKHrSYiIiIiIiJHSulrOgUBG8pqUFlrPLUGucbMGST+QmvGguNdv2uLT+A/353UdddvRU2zbHAFAAoP1Wn2XTP7vj8eO1ublN6n1l35Ow6fcXpPvnifRo5TRU2zruCK0uuVpCREoXjZbGwsq8GuqnoMiIvA4g+cawnLrVMp1ZCSpnOd9rv1AeCoxgyWY/Wt9m3pTcXmStoyOcs/P4BX508AoD3TpqNLwKzhyfa/9e6TTgGob22XBGhs7/fR60fal6uoaTY9uAJ0nyfi7b+79YjuNHRabOu8e/V2+EuunsVXD8fB6rPIHpqI332wR3XZC13AFw/NMBxEVNLRJeD9HUftfVYcWLGxPeYYaPHkbEKt6x6/RwUmnxe537FjB8aNG4dx47o76cMPP4xx48Zh2bJlAIDbbrsNL774Ip544gmMHTsWGzZswOeff44hQ4a4td28vDyMHDkSEydOdPs9EBERERERkb70M0SeIpdSaHN5LX79XrHma/X03YqaZuSXVqOy1rkf95S+bzRFlY1SUXRvM3KcXHmvRo7ztKwkPHjlMCT1iTC0zpfnjUN2pnwNFDni4vGvFlSoLvv3bw85PXbrhBS8eNs4xeCmq33CUVn1xXRQRtM0Gd0ntgCN0kD1tkp9gTVX2bYfE+F+uqdQiwXTs5IwqG8kAPhNcAUAakQp1rQGoC0A8kursa3SvMCWq9cdWy2x/EUzsXrBROQvmok3F07ySnqunvJZEmx8PoNl5syZ0MpSdt999+G+++4zdbu5ubnIzc21T/UhIiIiIiIi93gqdzmRFnfv+tXquyu+Kcf2IxcHqh3z4feUvq/1PpUoFUX3NiPHyZX36spxNtp35Iq/qxEXj997vEF12b3H1J+X42qfcHTFjy7WWjZaFNw2IG5LvxRqAeav2q64Le3jZHHpPegVaukOJlyeEY+Pi4+7ta5J6fHo6OoyZdaH2VYXHgbQPZtQiwBgwWrlY+YK23VHbvaKWNqSz2TThflill1P+SwJNj6fwUJERERERETBwTYoFmqRDk7Z7rBlWgvyFHfv+lXru9aocOyqapA87jgzpqf0fbX3qUSuKLqvGDlOSsvKcec4G+07cjO1lFijwiXF4y1a70XHe3VkZD+pEafoAuRnpWilaUpPjMas4cmYPizZrfNxcnq8wdYbM3/VdixYvR2PfLgXoS6MzIpnVoSHhmBbhfnpzOSkx0e5fZzNpNUWf7nuGNFTPkuCDQMsREREREREZBpXBsWI9FBL0WXGXb9yfXf8kL6ob213qu0gnhmj9vpg7PtK73PNPZcjLEQ6KGgriu5PjBwnuWWnZCRg6tAEXa+3Ueu7Rtpkm6mlp/6KNSoc63JzJI9dNaKfwtLdrr6kv+Z65ci1f1JaPOIipYlzosPlB8RX/lB7RUwtTdMT6/bjmhcL8OSnJZLXFJRW46WvD2JjWY3qPtU6HhlJMZiSkSD7nNm6uuB03lijwnHT2AGyy8+/PMUeSBJ+uA65UwxejjUqHBt/Nwuj+vdBr1ALRg3og8PLr8Pa+3MMpWIz09ShCU7HpF9sL9XX/O7975Bfak6NGxutvmOGnvJZEkwsglZ+riCVl5eHvLw8dHZ24uDBg2hsbERsbKyvm0VERERERBQUbKlaxEWEiVzhWLwecE7RBQDzVxYpphR6c+Ek3dsT993DdS2qaWtWL5goKbbt+Ppg7vuO71PvcfIXGw7WoPhoPcanWiWzPPQuq+c4G90nWuvML61W7Y+LZg9DpyCovie1dElyaZKMELe/+Vw7blpRiI6ui+ejLeD2UfFxbCqvQU5mktPMFTVf7TuJe9/e5fT4U3NH4dmvSlHf2m5/zBZg6hAEe5usUeG6j0dja7tTofO+keFoaGuHp4WFWPDqHeOx6MM9su8pJaE7oKzVH0LRXZMl3AK89vOJulNwTUqzovT0WTS2dchu23acC0qr8Y/CIy69Rz2W33wp+sVFKB67qPAQtLZ3ub0dPf3eF9e3nvJZ4s9spUW04gY9NsBio3dHEREREREREZH36Q2cyA2IujsAVlHTrFrbIH/RTA58/cCsAJenGRkodXdQ1ex9YkZ/HPnoZ2jtcH48KgwoedK9AItY5u8/lwRXbMJCLCh/6ieyr6moacaRM62KA8patTQc9Y0Mx0f3TbWv87FP9hs+HuLg2uhBfZ2uMd5mjQpH8bLZAIz1B61ljW4b6J4xdJfJdVPExO2XO5fMoifAEijXNzKX3riBz4vcExERERERERHJMVK83rHQtRl3/Rottt1TGTlOviZXw8RWU8dxoPS+d3ah8FCd5LENZTX41Ts78e49l6tuxxP7xN3+WFBaLRtcAYDWDmBjWY3mbB491hRVyQZXAKCjS8D7O45K6mPoCWQ9sW6/4XY0tLVrBhWUjodcmyYMsaK8ulny+rAQC7oEAeK3G2qxwGIR0OH+5Aon9a3t9uNkpD8oLevqtgFghsPsPbMdq29FemK04rlkFq1zMZCub+QbrMFCRERERERERH7JleL1tvoEZg14BUM+fE/XDXDlOPmCUg0TuZo6FTXNTsEVm8JDdZr7UmufbK2odemYuNMfdx9rUH1+V1W9obYo2VIpv99sNh+SBrjUgl42hRXS583m2Efl2rTjSL1TirCOLgEhDgXJszMTMXpQX4+0E5AeJ3drCrmz7QID9U1C1evRq25L61xyl9b1KVCub+Q7nMFCRERERERERH5J665Qx+LQnuCJmTHe4q26AUPio1SfT0vwj/2lZ6DUdmy3aQQJtlXUqfYDrX2y9KN99n8bOSbu9Mexg/uqPj8+1aprPYB6Oq8p6QlYW3xC8bXZQy8O8uudHdBuQq0NNeJridEZEx1dAp69ZTQS+/RGWkI0BEFwOx2XmvCQi1dGI/3BcdlQiwXzVxUZ2ra4j2gF7K4amYzo3mHIHpqIy4ZYDe8T27a0zqX8RTPxztYj2FReg7SEaHyx/7Sh7WhdnwLl+ka+02MDLOIi90RERERERETkf7SGVJXSEHlCeqK+gWytOhLeZCQdljsCJZWasYFS9eCdVs8zkpLJlWOitz+KzRieDGtUuKRwuo01Klw2PZhjf9YTtLttUip+//FedMq87VALJOnB9Aa9znd5NsAivpa4MmPiRGOb/X3lG5jZ4Yp2mX1hpD+IlzWSNsyxj2gF7OZPSZMsr9T3tLal5/ry6PUjAXTve70BFr3Xp0C5vpHv9NgUYbm5uSgpKcH27Z4rxkRERERERIHD0yl0iMg4X9w5fO8/t+OyJ7/CL9/aYeh1Da0XMH9lEa54vgALVm/HrOe+xfyVRWjUOaBoNiPpsBxf5+3UVd6SkRQDq8IsEWtUuGSgdHJ6vOq6Ls9I0Nye3pRMWsdEjqvHaV1ujtM+sEaFY11ujuQxpf78q7d3KQbt1hRV4aE1xXh/x1GMSekru33Hx/We45PTtPe3O0ItsO/P6sZzhl8fFmLBS18fxMayGs33JDY+ta9T+iytwVojM420yPXRSWnxiIuU3pMv10dsATs5jsGYippmQ8EVx23pvb4Y2fdGrk+BcH0j37EIgouVjYJEU1MT4uLi0NjYiNjYWF83h4iIiIiIvMxbKXSIyDXzXtuKLRXO6ZqmZCTgvXvVC40b8faWSjz6SYnT48tvGoX/N3mI5uvnryxSvMNZaWaCJ2e75JdWY8Fq5ZtKVy+YiFmiItVmXQu9lUrNlX1XUdOsmqYof9FM+7rWFFXhkY/2Ki777C2jJTMx1Nj2yanGc1iqsk7HYyLHrOO0sawGu6rqMT7VKjtz5Wd/L0TRYXNqsjgS72cAuP31rbL1bqYOTcC791w8x9OWfGZ6W0ItQGykdGbFkPhIHDnT5vI6YyPC0HSuQ/H5txZOQkeXIOm77+84is2HapE9NBG3TkjBuCe+UpxpVLxststtUyI+b61R4br72NG6VszJ2yRpqy1AkpJwMdihdT1aNHsYOgVBsT/KtVPpvFe7Fv/pxkvcuj4FYqpIcp3euEGPTRFGREREREQEeC+FDhE5Kyitxu5jDaqDahaFTE1Kj7tKLrgCAEs+3qcZYNFbR8LGG4Fdo7N/zLoWVtW1YM+xBoSFWDwyAOnOvjNSg0VPoXa9ARZbSqaKmmbV5fTMyDLrOE3LSlI85ypqmj0WXAGArRW1kkHq1vPywYi28x2Sa8RfbxuLB9bsdlouKzkGZdXO+zYuMhyNoqL0U4cmQBAgCdjGRoY7zTKrciO4AkA1uAJ0pyNzDKTdOiFF0p/W5eYoBi48QZw2zBagEFPqYykJUSheNlszYKd1Pbpu9EBd1ws98wRenjcOv36vWHKNsM02iXOYqWaUUio2f0oNSd7HAAsREREREfVYRgdFicgcR+paMDdvs+ZdzxU1zbJ3tgNA4aE6087Re/+pnj78l2/twN/vnKD4vJGBe8A7gV0jdQPMuBbqPabucmffGQk6GSnUrpe7tRy89Zn16R7l922GpR/ts/97YpoVu481yi5XfKwRd4lmPVijwrHxd7Pw12/KsKWiFlMyEvGrmUMVZyU1trXLzhbZcLAaxUcbMCA2Eos/3OP0Ok+n+rGlI1MbjNcbuDCbq31MLWBnBiOB1biocLy5cJJXZptwFjQBPbgGS15eHkaOHImJEyf6uilEREREROQjegZFich8jgPxAFDf2o45eZskj3nrHN15VP1u/e1Hzqg+b2Tg3tXaKK7QWzfAjP2s95i6w919ZwtwhDpMfwq1WDA9K0kyCDtRowbLhDT155W4U8vBW+fDmZYLpqxHjx0GZsrY+tOzt47BpkeuxLO3jtHcJ7bZIumJ0fa6MvNXbcf/rC+TDa54w/xV23XXaZqWlYQHrxzmleAK4Lk+5u561QKrStITo+3H3lNcaRcFnx47gyU3Nxe5ubn2XGpERERERNTz+KKANlFPV1BarVjsuL61HRvLauyDid46Ry9LseKrA9WKz08c4tpguhyjs13cofdObnf3s5Fj6g4z9p1a+iCztyXHnbvrte6SDgsxJ2/eiP7qNYqH9YvGwdPmBHOMzhZx7E9G9oncYLiv+VtKUk9dc91Zr7/ONvbXdpH39dgZLEREREREREbuZiYic+w+1qD6/K6qi3e0e+scfe0u9ewWaunBAGN3Z/sisKt1J7e7+9nIMXWHGfvOFuDIXzQTqxdMRP6imXhz4SSndD6ePk6u3F3fpfF8R5c5ya2S4yJUn1/6k5GS/WdWYEcvcX/Su0+UZj/J8ea78cTMNXfouRYUlFbjpa8PYqNMcMGd9Srx19nG/tou8j4GWIiIiIiIqEdzJ10LERk3dnBf1efHp1olf3vrHF1+0yhDj4sZGYz318CuO/vZ6DE1qqKmGfml1bD8sI+M7jvb68WD2J4OOnmCt4JzerYj3n/rcrO9GmQR9yettoZaLMgvrca2SvU0f2Kp8ZEut81V/jQYr3QtWHzNMIx74ivctbo7xdqdK4sw7omvcLROPtCwpqgKD60pxvs7jqquV+sa46+zjf21XeR9FkHQEboNYrYUYY2NjYiNVZ8CSUREREREwcsbxVCJqNu4J76STSlljQpH8bLZsq/x1jn6y7d2YPuRM5g4JF5z5orY/JVFisXLHdP/NLa2O6Wp8pfCyK7uZ1eOqRa5AtJTMhJgsQCFh+rsjyntO3cLUPvjcfrZ3wtRJFO3ZFJaPP79yymmbcdIf7Z5f8dRbD5Ui+yhifjPdyedXm8Guf50zYsF+P5Us9Oy0eFAi3J5E4m3Fk5CR5eAtIRoVNW14K7V281orm75i2b63XcPx2uB3nN877EG3LSiUDKjKizEgnW52Rg5KM6la4wr/dEb/LVdZA69cQMGWBhgISIiIiIiIvKqo3WtmJO3STJYZ40Kx7rcHKQkqN8V7K9cGYwPpsCuJ46p2uDln268RHPfmTX46U/HacyfvkRjW4fT43GRYfjusatN2467wSW514dagE43RiGV+lPaks9cX+kP7s5Jx6PXj7T/nfn7z91KudY7zILzHfpe704Q0lsKSqtVg05vLZxkr4ujtO/CQiwof+onLm3fH4Od/twuMofeuEGPLXJPRERERD1HRU0zjpxp9YuBESIiAlISolC8bDY2ltVgV1U9xqdaTSmC7kuuFC9PTwyezyXbMf339ioUVtQhe2gibp2Q4vL6tApIA8Cs4ckuv95IAWpPHKdXvi7D5kO1mJaVhPtmZep6TUFptWxwBQAa2zrw7x1VSOoTIel7St+BCkqrsftYg+K550p/nrb8axxvPIeUvpEoeOQKyeurG8/hkY/26nqfjn5zVZZiO59Yt9+ldTraVH6xr1TUNLtdz+Z8h4C3Fk7Cut0nsKWiFqMGxuGL/adll61vbVfsj3e8tgV7TjRi7OC+eOvuy91qk82aoipsqdQ+R8V9RE+dpWlZSVhTVKW47zq6BLy/4yiS+/RW7XtyXOmPcsz+TWBWuyiw9dgAS15eHvLy8tDZ2enrphARERGRh7ibGoSIiDxrWlZSwAdWHBkZjA+mGwAcP3PXFp/Af7476fJnrlYB6a0VdaoDmnoKUPviOBWW1+D2N4rsf2+pOIO/fFmKNfdcjslDE1RfqzXIvfiDiwGMqUMTIAjAlgppKrXF1wzDnSuLdM800tOff//Bbry747j97yP1bUhb8hnmX56CJ+aORnpiNF76+qDqOpREhFnw4JXDFJ8vrKh1ab2OcjIvXoe0+o5eu6rq8eytYwAA+aXVigEWwLk/vlZQjqf+t9T+98byOqQt+QzLrhuBX0zLcKk9jqm71hafwNKP9tpTd9kcqWvB3LzNkj4S3StUdd22ujhbKutUl/v9R3vRLgrAGJ3l5mqw09O/CYIpWE7G9dgi97m5uSgpKcH27d7NqUhERERE3vPAe7uxuVz6w3tzeS1+/V6xj1pERETUPdg3f2URrni+AAtWb8es577F/JVFaJSpbxAozP7M1SogvfSjvar7zowC1J44TuLgithtr2/VfO3YwX11b6fwUJ0kuAJ0H4+5eYVOdTTqW9sxJ2+T7nU7EgdXxN7cetT+byNtF3v9romqz0/NSFR9Xi9xejCtvqOXLegAaA/AhoVYJH+LgytiT3x2wOX2ONZFAbpnlczJ2yx5zDG4AgAtF5RvULdGhdsD5VPS1YOE7Q7bd7fv6cXfBORJPTbAQkRERETBzZYaxLG4qjg1CBERkS8E22CfJz5zM5JiMD0rCaEWi+aycvtO6fWhFgumZyXputvc7OP0ytdlqs+vyC9XfX7G8GRY3bjbvlMQFNM31be2Y6NMSjUt05Z/rfr8jGe+6f6/i23XmuG2bM4lhtfpaOX8CZK/lfqOBc6BECXioAMAdGksLz4ud7y2RXXZO9/QDsY50pO6C+hOCyZXyN4mprd0JottBorNbZNSde8jG1f7nl78TUCexgALEREREQUlPalBiIiIvC0YB/s89Zn78rxxyM7UnqGgtO/kXp+dmYiX543TXKcnjtPmQ+rprPQMMq/LzXEryKJmV1W94dccbzyn+vzRhjb7v+XaHhuhXr1Az352DJBoGZoYjR/1j8HdOek4vPw6XDmyn9Mycn1nWlYSdj56Fd5aOAm/uSoLby2chI2/m+X0nhyDDoCxGVV7TjSqLiuXKq6iphn5pdWK+0srdZetb2qlobtneobk/Rcvm+2U3mtdbrZTkEUr5uJK39OLvwnI03psDRYiIiIiCm5mpAYhIiIym5m1QfyF0fRHejkWkD7deA5LVAqlO+47dwpQe+I4ZQ9NxJaKM4rP66lHlJIQheJls7GxrAa7quoxIC5CUnvFHeKUVnoNiovA0QblIEtK38iL/3Zo+/hUKzq6BCxYrZy+X89+vnJkPxxefh2e/LQEm8prkBTdCxsPKe/nX84cqlrcHVDvO+LaUQ2tF3DpoL6S2h6XDuqL2Ehp0MU2K2Zzea0kaBdqsSA7M1HyHkcPjMNmlX4iTremt7bIlPQErC0+objO7KGJTuuWYytMr9ZXRw6KQ/lTP8H7O45i86FaZA9NRHKf3rhL5Ti70vf04m8C8jTOYCEiIiKioGRGahAiIup5tO4Ed1cwDvYZSX/kivTEaMwanoxJ6fGqyyntO9vrjXz2e+I43X9llurz14zqr7vvTctKwoNXDsPPJqTqTqUWarEoBrscU1rZFJRW46WvDyrOrtm45ErVbRY8coVi26dlJZm6n6dlJeLaSwfg3pmZiu8zLMSiGVwR0+o7RtLI6Z1R9c69U1Tb9NbdlxvevlrqLvE+UUvlZusjWn3C5rIhVtw4dhAmpMXrWq+n8DcBeRpnsBARERFR0Hp53jj8+r1iyV19elODEBFRz6L3TnB3ZSTFYOrQBBQeck7ZM3VoQkAO9nkraGRkFoAZ2/pR/xh8f6rZ6bmR/fu4vK0191wuW9D+0oGxuOL5AvvfRvqe3PedqUMTIAiQFLrPzkzEkmuG446V2yR1NuRSWh2pa3Eqdm5bzjEl1PzLUyQF7cWPe4NcW/v0DkFru4BOUfQvLMSCdbnZpm3XlkbOkTiNnKszqpZdN0K2oP2y60a4vP11udmYk7dZEvCU2yfrcnMwJ2+T07H/2+3jMe6JrzT7hNK19J2Fk3X1PU/gbwLyJIsgCO7dRhDgmpqaEBcXh8bGRsTGxvq6OURERETkAa6kBiEiop5l/soixYH7NxdOMnVb817bKhn4tpmSkYD37r1c5hX+z3Hg1cYaFY7iZbNN205ja7vTQKknAmEAkLbkM8XnDi+/zq11r8gvx8ayGkzLSsLWijOm9D257ztK34HEabrkZg+4cjxnPPMNjja0IaVvpH3mSkFpNXYfa1DcTn5ptWqKsNULJmLW8GTV963W1t//ZIQ9TZWRmSt66Gn7kPgoHDnT6vJ30Dvf2IrdxxowdnBfycwVvduX23fi1F1q+8Sxj6jt5xdvG2s/zq9vqFTtz1p9z5P4m4CM0Bs34AwWIiIiIgp66Yn8EUVERMqM3gnu7rbkgitA92wDM7cl3qY7g7x61i838AoA9a3tpr4nd+qqGPHEuv2qzz/5aQkevX6ky+u/b1Ym7puViYqaZvzly1Kn513pe3Lfd5S+A6nV0SgorVY9nrbAkKP7ZmViS2Udsocm6p4B48rsJ3F/rqprUW1r/7gIvHibZ2YpaLV9xTfl2H7kYvF2VwKBjkEVI9tXmjl264QUXcEmcR/R6hNq9VUAaX/WquHiSfxNQJ7QYwMseXl5yMvLQ2dnp6+bQkREREREREQ+5M3C897clrfSnnnzPdl4eqC0sKJW9flN5er1J/Tyxb7TsvtYg+rzu6rqJQPke4814KYVhfbUU0rF1Otb2zEnb5NkBoyRtG9y/XlIgnqQwbGtZlJre2xkGHZVNUiWt9VGMWtGnDdT5mn1Cb180Z+JPK3HFrnPzc1FSUkJtm9Xj7ASERERERERkTxPF4R3hStt8mbheW9uy0gBbne4OgvBl31Hq1D31IxE2cdtLh0Y51b7bduvaTqnupy7/eEn/1OAYX/4HNe/tEF2+3Lvf+zgvqrrHJ9qlfwtDq5oqW9tx793VEn2nd7i73L9+ahGgMqxrUpc7Y9ybR8/pC/qW9slQQ/g4iyONdurdBWJ19NWvfvO3e1o9Qm9zLy+EfmLHjuDhYiIiIiIiIhc462ZEd5qk7eLp3tjW95Me+buLARv9h29qauWzbkEqwoPK67n/V3H8f6u4wCMtV9u+2EhFnR2CRAPx7vbH575vAR/21Bp/3vfybNIW/IZ7pyUgk/3nVJ9/zOGJyMMQIfMesPRnTrqla/LsPlQLeIiw3UHV2wWf7DX/m/bvtNK+6bUn9U2HdPLojl7xd3+KJey7nBdi2ptlEc+vPj+5fqekbZOyUiAxaL5UkOU9klcZBga2+R6hTZxf/Z0ykJfkKs1FIzvk+SxyD2L3BMREREREREZ4s2C8N5qkzeLp3tjW2YUDzdC73vydd8xUrz9yue+xSEdMxqMtF9p+2EhFkmgwt3+kLbkM0PLh1qAQ09f5/LrXaV332n1ZyWHl1+n+rwn+mNBabVmTRIxub6nt61y3G2/0j4ZMzgOe443Gg6oAd39+cm5o/Do2n1+FZh3l1zANC4yDMP7xaLo8Bn7Y4H+PnsqFrknIiIiIiIiItN5c2aEN9vkreLp3tqWN1ORAfrek6/7jpHi7RU1zbqCK4D+9qttv6NLwLO3jEZin95u94ef/E+B4dd0CrC//yufzXd528a3q2/fPbluv0vrX5FfjvtmZco+56n+2GVwece+J0eprXLcab/aPtl1tAEhBmbLLL56OEYMjLX3Z1vgRszsujTe5hhcAYDGtg5JcAUI/PdJ6npsDRYiIiIiIiIiMk5PUW5vM7NN6YnRmDU82StBIk9uy5a2K9Qhf1CoxYLpWUkee39q78nXfUdP8XabT/ecNLz+rRV1qnU8tLZ/orHNlP5Q7mJdmPkriwAAh+rUj5MnaB37ow1tLq1Xrc6Jp/qjK4Ot4r4nR6utclxpv9Z2jExeOVh91t6fbYEbpbo0/lTHSy+1gKmjQH6fpI0BFiIiIiIiIiLSzdszI/Twxzb5A08WwHaFr4+TVqHuAXER9gDJmZbzhte/9KO9WLB6O2Y99y3mryxCo8Pgq9Hi8a7KdDFA46kaAr+5Kgt/ueVS1WW0jr2r70ltVoin+qPRGSyA9rHXaqscV9rvynaUZA+9eO3xdXDVE7QCpnIC8X2SNgZYiIiIiIiIiEg3X82MCLQ2+QNb2q78RTOxesFE5C+aiTcXTvJZHQBfH6cZw5NhVXjvYSEWLP7gYoBkx2H1GQVabCmB9G7fGhWuWZBdr89/M8Ol19nqCGRnxJvSDgCICrPgwSuH4WcTUt069q6+J6X0YIDn+qPRIIWeY6/UVrV1utJ+pe0YHUAOC7Hg1gkp9r99HVz1BK2AqZxAfJ+kjQEWIiIiIiIiIjLE32ZGAP7ZJn/hzbRnFTXNqmmyzDpOWttRsi43xynIERZiQZdD6qIDJ88iTKHghNLjYuKUQAWl1Xjp64PYWFYju31rVDjW5eZIltMit6x4n/x61lDNdTgq/6Eg/Dv3TjH8WiVpCdEY9ofPcf1LGzSPvdYxVXpPN40dIPv4mnsuxytfl2Hea1uwIr/c/rh437nSpt+u2Y2cZ77G797/zv7YE+v245oXC/DkpyWKQQoLnPuO7dinLfnM/p8SubYqqW9tdzkdldx2crKSMHVogux7chQWYsG63GzJY2YFs1w9781ar3g5tYCpo54e7A92FkEQPDUDMCA0NTUhLi4OjY2NiI2N9XVziIiIiIiIiAKGNwrCG+WPbeoJGlov4IH3dksKZE/PSsLL88bJzphx9TgZ3Y6SjWU12FVVjwFxEVj8wV7drwO6B+6T4yJwuK4FpxvPYclHyq+P6R2K5vOd9r/79A5Fa3snOkV5pEJDgKjwUJwVLWcbeE9JkN75f6SuxamwdlxkGIb3i5UU1rbtkzte34KD1c0YlhyDTx+cjutfKsC+k81O7Rw1IAafPnhxlkje12V4dv1Bp+VumzAIa3YcV3y/WgbHReBY4zlJO5+cOwqPrt2neUz3HmvATSsK0SEqBBIWYsGSq4fhyf8t1bX9Pr3DcPZ8h/1v237uEARJf5TrZ1nJ0Sir1jewnxgVgtpW52RhQxMi8fjcS7Grqh7jU61Y/O9inDzrXMcjJa43Ni79seQxuTapWb1gImYNT9a1rJhcH7NGheOdhZOx/ItS2eP0VckpbD5Ui+yhiZKZK2KNre349XvFLp27Zp33rq5Xabkl1wzHHSu36T4ffTV7kFyjN27AAAsDLEREREREREREbpm/sgiby2slRaxDLRZkZybizYWT/HY7+aXVWLB6u6HXWKPCUbxsNoDuO9qveL7A8HaNbsdm3BNf6SqsrbVPMpd8hg50pwWzzVwR09rPK/LLsbGsBtOykvCXL/UFN5TaGWIR0C5TuKR/bG9s/f3FIEPm7z+XBFfMIref5d6/WQ6L9rfajJXDDsfFaJvyF810Kcis1Mds+8ndILYrr/fU9UXverWWswVsx6da7eneGOwPfHrjBmGKzxAREREREREREWmoqGmWvatenCbLjAFGT2zHldz59a3t9uCCLfWR4+BriAVwNxYg3g7QndpKT3AF0N4n86emobCiFjmZzrU/9Ozn+2Zl4r5ZmZjw318ZfFfO6+xU2E+nms7b27+mqMojwRXAeT8rvX+zpC35DH0iQnH2XKfmcrYgiytt+nzPCXQIgmTQX4taHxPvJ3fO5/REYwEHT11f9K5Xz3LTspKc9rHR90mBq8fWYMnLy8PIkSMxceJEXzeFiIiIiIiIiChgHTnTqvr84Tpz6iV4YjsyEyd02VVVb/+3XM2KFIOFzvVsZ/exBsOvd9wnX+07ibQln2FV4WF8f6oZb2yqRNqSz/B1yWn7Mkb2c22LvoCPq36atwkAsKWyzqPbEe9nrfdvBq3giiNX2vTsVwfxP+vLcOfKIox74iscrdNeh1YfE+8nb/HU9UXver11faPA1WMDLLm5uSgpKcH27camgRIRERERERER0UVDNIIJaQnm3MXtie1orVPJ+FSr/d9xUeF4c+Ek5C+aidULJiJ/0Uw8MecSl9artp2xg/safr3jPrn37V2yyy18c4f930b2c2K0Z2tKnGnrrpcyJT3Bo9sR72dX+4Qnudum+tZ2zPkhWKVGq4+J95O3eOr6one93rq+UeDqsQEWIiIiIiIiIn9QUdOM/NJqVNbyLlgKTLY0WaEWi+TxUIsF091MJ+Tp7aitMyzEIvsaa1S4bMql9MRozBqejPTEaMwYngyrmwWtrVHhGNQ30n59MLJOuX3yxLr9qq958tMSAMb28/M/G6vz3bgmPrK7usFtk1IVj4e7HI/nUS/MYNFDXIPFjDbZUnypUetjSv3e0zx1fdG7Xm9d3yhwMcBCRERERERE5AMNrRcwf2URrni+AAtWb8es577F/JVFaNRZY4HIn8ilycrOTMTL88b5/XaU1rkuN9tpsNkaFY51uTm61rsuN8fp9X16hyLUYTQuNKT7cbG4yDBkJfdxuj68s3Cy0zrjIsMwKS3eqf2O+6Swola1vZvKLw6+Pzl3FGIjpaWbYyPD8Oe5oySPuZK2zIi7ctLt/16Xm+0UZAkLseCe7DTd6+vTW/qe5I6np9+THgP6SI+xWW3Sk+JLrt8a6fee4Knri971euv6RoHJIgiCZypEBYimpibExcWhsbERsbGxvm4OERERERER9RDzVxY5FcYOtViQnZmINxdO8mHLiFxXWduCw3UtSEvwbIFnT2xHaZ0by2qwq6reULFwMbnXv7/jKDYfqkX20ETcOiHFabnXN1SqXh/k1qm1T55Ytx+rCg8rtvPunHQ8ev1IAPqvTwWl1bhrtefS77+1cJLTPnfcd5m//xwdXc7Dm2EhFjx81TB7Yfb7ZmUC0D6eWu9pWmYCKutaMCUjEaebzjvtpxALINMcQ6xR4SheNlt3mxZfPRztXV0Is1jw7FcHFZeT259K3O33nuCp64ve9Xrr+kb+QW/cgAEWBliIiIiIiIjIyypqmnHF8wWKz+cvmsnBG6IeypPXh7Qlnyk+Z0tJZWT7a4qq8MhHe11qixbHIIMcre0/e8toewDLiHFPfIV6mdmE4jZp7acQAF2Gt3yRYzBET5uMLEdE6vTGDZgijIiIiIiIiMjLjmjk0z9cx3osRD2VJ68PK+dP0HzcyPa3VNa53BaxcIfUX3pTUmltf/Mh9bRoSvSkydLaTyMHSgdk0w0WqndM56U3dZc/pvgiCmZh2osQERERERERkZmGaAy0pSVw9gpRT+XJ68OVI/vh8PLr8OSnJdhUXoOczCR7WjBXtj8lPQFri0+43B6bp26+FP3jIgynpNLafvbQRMXn1KQkRKF42WzVNFla++nl28cDgFNKqTvf2IrdxxowpG8U9p06q/j68alWw20yshwRmYMpwpgijIiIiIiIiHyANViISImvrw9Gtq9UA0WvsBALyp/6icuvV6vB4s569XD3ODGdF5H/YoowIiIiIiIiIj/28rxxyM6U3l2dnZmIl+eN81GLiMhf+Pr6YGT763KzEeaQ4svhT0VhIRasy812uZ1K2zdjvXq4e5yYzoso8HEGC2ewEBERERERkQ9V1rY4pZAhIgJ8f30wsv33dxzF5kO1yB6aaC8sL5eKTG45M3hqvXq4e5yYzovI/+iNGzDAwgALEREREREREZEpKmqaceRMq98HDAtKq7H7WIOpA9r3/nM7dh6tx8Qh8fj7nReLxntin3ii/YFCaX/6su8FSr8nIv0YYNGJARYiIiIiIiIiIvc0tF7AA+/txoayGvtj07OS8PK8cYhzSIHkS0fqWjA3b7Ok7oUtJVNKgnrRciVvb6nEo5+UOD2+7Lof4duDdabuE0+0P1Ao9bEn547Co2v3+aTvBUq/JyLjGGDRiQEWIiIiIiIiIiL3+Loou16eKCqetuQzxedCLRZT90lPLoqu1MdiI8PQ1Nbhk74XKP2eiIzrUUXub7rpJlitVtxyyy2+bgoRERERERERUY9SUdOMDWU1kkFmAOgUBGwoq0FlbYuPWiZVUFotG5wAgPrWdmwUzULQ695/bld93sx94on2Bwq1Plbf2u6Tvhco/Z6IPCsoAiwPPPAA3nzzTV83g4iIiIiIiIioxzlyplX1+cN1/jHQvPtYg+rzu6rqDa9z51HjrwFc2yeeaH+g0OpjSjzZ9wKl3xORZwVFgGXWrFno06ePr5tBRERERERERG6qqGlGfmk17/4OIEPi1Wt/pCX4R9HvsYP7qj4/PtVqeJ2XpRh/DeDaPvFE+wOFVh9T4sm+Fyj9ngITPwsDh88DLBs2bMANN9yAgQMHwmKxYO3atU7LrFixAunp6YiIiMBll12GjRs3er+hREREREREROQxDa0XMH9lEa54vgALVm/HrOe+xfyVRWhUSIlE/iMjKQbTs5IQarFIHg+1WDA9Kwnpif4x0DxjeDKsCoXHrVHhmJaVZHidr901UfV5M/eJJ9ofKNT6mDUq3Cd9L1D6PQUWfhYGHp8HWFpaWjBmzBi88sorss+vWbMGDz30EP7whz+guLgY06ZNw7XXXouqqiovt5SIiIiIiIiIPOWB93Zjc3mt5LHN5bX49XvFPmoRGfHyvHHIzkyUPJadmYiX543zUYvkrcvNcQpSWKPCsS43x+V1Lr9plOzjy64bYfo+8UT7A4VSH1uXm+Ozvhco/Z4CBz8LA49FEBwqMfmQxWLBxx9/jLlz59ofmzx5MsaPH4+//e1v9sdGjBiBuXPn4umnn7Y/9u233+KVV17BBx98oLqN8+fP4/z58/a/m5qakJKSgsbGRsTGxpr3ZoiIiIiIiIhIl4qaZlzxfIHi8/mLZvJu8ABRWduCw3UtSEuI9utjtrGsBruq6jE+1ao586OgtBq7jzVoLvvLt3Zg+5EzmDgkHn+/c4L9cU/sEyPtDzZK+9OXfS9Q+j35N34W+pempibExcVpxg3CvNgmwy5cuICdO3diyZIlksdnz56NwsJCl9b59NNP409/+pMZzSMiIiIiIiIiE+gpFs1BpcCQnhgYA8zTspI0AxNH6lowN28z6kWpeWyzRVISnOtviIMqYp7YJ3raH6yU9qcv+16g9Hvyb/wsDEw+TxGmpra2Fp2dnejXr5/k8X79+uHUqVP2v6+++mrceuut+PzzzzF48GBs375dcZ1Lly5FY2Oj/b+jR496rP1EREREREREpI3FoskfOQZXAKC+tR1z8jb5qEVEFMz4WRiY/HoGi43FoViUIAiSx7788kvd6+rduzd69+5tWtuIiIiIiIiIyD22YtGby2vRKcpkHmqxIDszkXfsktcVlFY7BVds6lvbsbGspsfOICEiz+BnYWDy6xksiYmJCA0NlcxWAYDq6mqnWS1G5eXlYeTIkZg4caJb6yEiIiIiIiIi97FYNPmT3ccaVJ/fVVXvnYYQUY/Cz8LA49czWHr16oXLLrsM69evx0033WR/fP369bjxxhvdWndubi5yc3PtxWqIiIiIiIiIyHfiosLx5sJJLBZNfmHs4L6qz49PtXqnIUTUo/CzMPD4PMDS3NyM8vJy+9+VlZXYvXs34uPjkZqaiocffhh33nknJkyYgClTpuC1115DVVUVfvnLX/qw1URERERERETkCSwWTf5gxvBkWKPCZdOEWaPCmR6MiDyKn4WBw+cBlh07dmDWrFn2vx9++GEAwF133YV//OMfuO2221BXV4cnnngCJ0+exKhRo/D5559jyJAhvmoyEREREREREREFuXW5OZiTt0kSZLFGhWNdbo4PW0VERP7EIgiiijk9SF5eHvLy8tDZ2YmDBw+isbERsbGxvm4WERERERERERH5kY1lNdhVVY/xqVbOXCEi6iFspUW04gY9NsBio3dHERERERERERERERFR8NMbNwjxYpuIiIiIiIiIiIiIiIiCAgMsREREREREREREREREBvXYAEteXh5GjhyJiRMn+ropREREREREREREREQUYFiDhTVYiIiIiIiIiIiIiIjoB6zBQkRERERERERERERE5CEMsBARERERERERERERERnUYwMsrMFCRERERERERERERESuYg0W1mAhIiIiIiIiIiIiIqIfsAYLERERERERERERERGRhzDAQkREREREREREREREZBADLERERERERERERERERAaF+boBvmYrQdPU1OTjlhARERERERERERERka/Z4gVaJex7bIAlLy8PeXl5uHDhAgAgJSXFxy0iIiIiIiIiIiIiIiJ/cfbsWcTFxSk+bxG0QjBBrqurCydOnECfPn1gsVh83RzTNDU1ISUlBUePHkVsbKyvm0NEfobXCCJSw2sEEanhNYKI1PAaQURqeI2gQCEIAs6ePYuBAwciJES50kqPncFiExISgsGDB/u6GR4TGxvLixURKeI1gojU8BpBRGp4jSAiNbxGEJEaXiMoEKjNXLFhkXsiIiIiIiIiIiIiIiKDGGAhIiIiIiIiIiIiIiIyiAGWINW7d2889thj6N27t6+bQkR+iNcIIlLDawQRqeE1gojU8BpBRGp4jaBg0+OL3BMRERERERERERERERnFGSxEREREREREREREREQGMcBCRERERERERERERERkEAMsREREREREREREREREBjHAQkREREREREREREREZBADLH5sw4YNuOGGGzBw4EBYLBasXbtW8rzFYpH979lnn7UvM3PmTKfn/9//+3+S9dTX1+POO+9EXFwc4uLicOedd6KhocEL75CI3KF1jWhubsb999+PwYMHIzIyEiNGjMDf/vY3yTLnz5/Hr3/9ayQmJiI6Ohpz5szBsWPHJMvwGkEUmMy4RvB7BFHw0rpGnD59Gj//+c8xcOBAREVF4ZprrkFZWZlkGX6PIApOZlwf+B2CKHg9/fTTmDhxIvr06YPk5GTMnTsXpaWlkmUEQcDjjz+OgQMHIjIyEjNnzsT+/fsly/B7BAULBlj8WEtLC8aMGYNXXnlF9vmTJ09K/lu1ahUsFgt++tOfSpa75557JMu9+uqrkudvv/127N69G1988QW++OIL7N69G3feeafH3hcRmUPrGvGb3/wGX3zxBd5++20cOHAAv/nNb/DrX/8an3zyiX2Zhx56CB9//DH+9a9/YdOmTWhubsb111+Pzs5O+zK8RhAFJjOuEQC/RxAFK7VrhCAImDt3LioqKvDJJ5+guLgYQ4YMwY9//GO0tLTYl+P3CKLgZMb1AeB3CKJgVVBQgNzcXGzduhXr169HR0cHZs+eLbkG/OUvf8ELL7yAV155Bdu3b0f//v1x1VVX4ezZs/Zl+D2CgoZAAQGA8PHHH6suc+ONNwpXXHGF5LEZM2YIDz74oOJrSkpKBADC1q1b7Y9t2bJFACB8//337jSZiLxI7hpxySWXCE888YTksfHjxwuPPvqoIAiC0NDQIISHhwv/+te/7M8fP35cCAkJEb744gtBEHiNIAoWrlwjBIHfI4h6CsdrRGlpqQBA2Ldvn/2xjo4OIT4+Xnj99dcFQeD3CKKewpXrgyDwOwRRT1JdXS0AEAoKCgRBEISuri6hf//+wvLly+3LnDt3ToiLixP+/ve/C4LA7xEUXDiDJUicPn0an332GRYuXOj03DvvvIPExERccsklWLRokSRavGXLFsTFxWHy5Mn2xy6//HLExcWhsLDQK20nIs/IycnBunXrcPz4cQiCgPz8fBw8eBBXX301AGDnzp1ob2/H7Nmz7a8ZOHAgRo0aZT//eY0gCl5a1wgbfo8g6nnOnz8PAIiIiLA/Fhoail69emHTpk0A+D2CqKfSc32w4XcIop6hsbERABAfHw8AqKysxKlTpyTfEXr37o0ZM2bYz29+j6BgEubrBpA5/vnPf6JPnz64+eabJY/fcccdSE9PR//+/bFv3z4sXboU3333HdavXw8AOHXqFJKTk53Wl5ycjFOnTnml7UTkGX/9619xzz33YPDgwQgLC0NISAjeeOMN5OTkAOg+/3v16gWr1Sp5Xb9+/eznP68RRMFL6xoB8HsEUU/1ox/9CEOGDMHSpUvx6quvIjo6Gi+88AJOnTqFkydPAuD3CKKeSs/1AeB3CKKeQhAEPPzww8jJycGoUaMAwH4O9+vXT7Jsv379cOTIEfsy/B5BwYIBliCxatUq3HHHHZK7SIDunKc2o0aNQlZWFiZMmIBdu3Zh/PjxAACLxeK0PkEQZB8nosDx17/+FVu3bsW6deswZMgQbNiwAffddx8GDBiAH//4x4qvczz/eY0gCk56rhH8HkHUM4WHh+PDDz/EwoULER8fj9DQUPz4xz/Gtddeq/lafo8gCm56rw/8DkHUM9x///3Ys2eP0ww2wPkc13N+83sEBSKmCAsCGzduRGlpKe6++27NZcePH4/w8HCUlZUBAPr374/Tp087LVdTU+MUaSaiwNHW1obf//73eOGFF3DDDTdg9OjRuP/++3HbbbfhueeeA9B9/l+4cAH19fWS11ZXV9vPf14jiIKTnmuEHH6PIOo5LrvsMuzevRsNDQ04efIkvvjiC9TV1SE9PR0Av0cQ9WRa1wc5/A5BFHx+/etfY926dcjPz8fgwYPtj/fv3x8AnGaZOH5H4PcIChYMsASBlStX4rLLLsOYMWM0l92/fz/a29sxYMAAAMCUKVPQ2NiIoqIi+zLbtm1DY2Mjpk6d6rE2E5Fntbe3o729HSEh0st8aGgourq6AHT/MAoPD7dP0weAkydPYt++ffbzn9cIouCk5xohh98jiHqeuLg4JCUloaysDDt27MCNN94IgN8jiEj5+iCH3yGIgocgCLj//vvx0Ucf4ZtvvnEKrtrSA4q/I1y4cAEFBQX285vfIyiYMEWYH2tubkZ5ebn978rKSuzevRvx8fFITU0FADQ1NeH999/H888/7/T6Q4cO4Z133sFPfvITJCYmoqSkBL/97W8xbtw4ZGdnAwBGjBiBa665Bvfccw9effVVAMC9996L66+/HsOHD/fCuyQiV2ldI2bMmIHf/e53iIyMxJAhQ1BQUIA333wTL7zwAoDuH0QLFy7Eb3/7WyQkJCA+Ph6LFi3CpZdeak8PxGsEUeBy9xrB7xFEwU3rGvH+++8jKSkJqamp2Lt3Lx588EHMnTvXXoyW3yOIgpe71wd+hyAKbrm5uXj33XfxySefoE+fPvaZKnFxcYiMjITFYsFDDz2Ep556CllZWcjKysJTTz2FqKgo3H777fZl+T2CgoZAfis/P18A4PTfXXfdZV/m1VdfFSIjI4WGhgan11dVVQnTp08X4uPjhV69eglDhw4VHnjgAaGurk6yXF1dnXDHHXcIffr0Efr06SPccccdQn19vYffHRG5S+sacfLkSeHnP/+5MHDgQCEiIkIYPny48PzzzwtdXV32dbS1tQn333+/EB8fL0RGRgrXX3+9UFVVJdkOrxFEgcndawS/RxAFN61rxEsvvSQMHjxYCA8PF1JTU4VHH31UOH/+vGQd/B5BFJzcvT7wOwRRcJO7PgAQVq9ebV+mq6tLeOyxx4T+/fsLvXv3FqZPny7s3btXsh5+j6BgYREEQfBCHIeIiIiIiIiIiIiIiChosAYLERERERERERERERGRQQywEBERERERERERERERGcQACxERERERERERERERkUEMsBARERERERERERERERnEAAsREREREREREREREZFBDLAQEREREREREREREREZxAALERERERERERERERGRQQywEBERERERedDjjz+OsWPHemTdP//5zzF37lyPrJuIiIiIiNQxwEJERERERKYRBAE//vGPcfXVVzs9t2LFCsTFxaGqqsqrbXrqqacQGhqK5cuXe3W7NosWLcLXX3/tk20TEREREZHnMMBCRERERESmsVgsWL16NbZt24ZXX33V/nhlZSUeeeQRvPTSS0hNTTV1m+3t7arPr169GosXL8aqVatM3a5eMTExSEhIUHz+woULXmwNERERERGZhQEWIiIiIiIyVUpKCl566SUsWrQIlZWVEAQBCxcuxJVXXolJkybhJz/5CWJiYtCvXz/ceeedqK2ttb/2iy++QE5ODvr27YuEhARcf/31OHTokP35w4cPw2Kx4N///jdmzpyJiIgIvP3224ptKSgoQFtbG5544gm0tLRgw4YNkue7urrwzDPPIDMzE71790Zqair+/Oc/258vKirCuHHjEBERgQkTJuDjjz+GxWLB7t27AQD/+Mc/0LdvX8k6165dC4vFYv/bMUWYLa3X008/jYEDB2LYsGEAgOPHj+O2226D1WpFQkICbrzxRhw+fNj+us7OTjz88MP2fbN48WIIgqB5PIiIiIiIyDMYYCEiIiIiItPddddduPLKK7FgwQK88sor2LdvH1566SXMmDEDY8eOxY4dO/DFF1/g9OnT+NnPfmZ/XUtLCx5++GFs374dX3/9NUJCQnDTTTehq6tLsv5HHnkEDzzwAA4cOCCbjsxm5cqVmDdvHsLDwzFv3jysXLlS8vzSpUvxzDPP4I9//CNKSkrw7rvvol+/fva2XH/99Rg+fDh27tyJxx9/HIsWLTJl/3z99dc4cOAA1q9fj08//RStra2YNWsWYmJisGHDBmzatAkxMTG45ppr7DNcnn/+eaxatQorV67Epk2bcObMGXz88cemtIeIiIiIiIwL83UDiIiIiIgoOL322msYNWoUNm7ciA8++AArV67E+PHj8dRTT9mXWbVqFVJSUnDw4EEMGzYMP/3pTyXrWLlyJZKTk1FSUoJRo0bZH3/ooYdw8803q26/qakJH374IQoLCwEA//Vf/4Xs7Gy8/PLLiI2NxdmzZ/HSSy/hlVdewV133QUAGDp0KHJycgAA77zzDjo7O7Fq1SpERUXhkksuwbFjx/CrX/3K7X0THR2NN954A7169bLvh5CQELzxxhv22S+rV69G37598e2332L27Nl48cUXsXTpUvs++vvf/44vv/zS7bYQEREREZFrOIOFiIiIiIg8Ijk5Gffeey9GjBiBm266CTt37kR+fj5iYmLs//3oRz8CAHsasEOHDuH2229HRkYGYmNjkZ6eDgCoqqqSrHvChAma23/33XeRkZGBMWPGAADGjh2LjIwM/Otf/wIAHDhwAOfPn8eVV14p+/oDBw5gzJgxiIqKsj82ZcoUg3tB3qWXXmoPrgDAzp07UV5ejj59+tj3TXx8PM6dO4dDhw6hsbERJ0+elGw/LCxM134gIiIiIiLP4AwWIiIiIiLymLCwMISFdf/s6Orqwg033IBnnnnGabkBAwYAAG644QakpKTg9ddfx8CBA9HV1YVRo0Y5FYKPjo7W3PaqVauwf/9++/ZtbVi5ciXuvfdeREZGqr5eT32TkJAQp+Xa29s1X+fY/q6uLlx22WV45513nJZNSkrSXB8REREREXkfAyxEREREROQV48ePx4cffoi0tDRJ0MOmrq4OBw4cwKuvvopp06YBADZt2uTStvbu3YsdO3bg22+/RXx8vP3xhoYGTJ8+Hfv27UNWVhYiIyPx9ddf4+6773Zax8iRI/HWW2+hra3NHozZunWrZJmkpCScPXsWLS0t9qDJ7t27Dbd3/PjxWLNmDZKTkxEbGyu7zIABA7B161ZMnz4dANDR0YGdO3di/PjxhrdHRERERETuY4owIiIiIiLyitzcXJw5cwbz5s1DUVERKioq8NVXX+EXv/gFOjs7YbVakZCQgNdeew3l5eX45ptv8PDDD7u0rZUrV2LSpEmYPn06Ro0aZf8vJycHU6ZMwcqVKxEREYFHHnkEixcvxptvvolDhw5h69atWLlyJQDg9ttvR0hICBYuXIiSkhJ8/vnneO655yTbmTx5MqKiovD73/8e5eXlePfdd/GPf/zDcHvvuOMOJCYm4sYbb8TGjRtRWVmJgoICPPjggzh27BgA4MEHH8Ty5cvx8ccf4/vvv8d9992HhoYGl/YPERERERG5jwEWIiIiIiLyioEDB2Lz5s3o7OzE1VdfjVGjRuHBBx9EXFwcQkJCEBISgn/961/YuXMnRo0ahd/85jd49tlnDW/nwoULePvtt+3F4B399Kc/xdtvv40LFy7gj3/8I377299i2bJlGDFiBG677TZUV1cDAGJiYvCf//wHJSUlGDduHP7whz84pTeLj4/H22+/jc8//xyXXnop3nvvPTz++OOG2xwVFYUNGzYgNTUVN998M0aMGIFf/OIX+P/buWMahmEoiqK/AAIiDLIGhglY4WCgoWAWHtutc59UKcs5BOz96v211nfRMsao3ntd11Xneda2bdVai98CAAD+4/X+5bAwAAAANeesfd/rvu86juPp7wAAAA+yYAEAAAAAAAgJLAAAAAAAACEnwgAAAAAAAEIWLAAAAAAAACGBBQAAAAAAICSwAAAAAAAAhAQWAAAAAACAkMACAAAAAAAQElgAAAAAAABCAgsAAAAAAEBIYAEAAAAAAAgJLAAAAAAAAKEP/bnkp7Ik9tkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "buildings.plot(x='Year Acquired', y='Square Footage', kind='scatter',\n",
    "              figsize=(20,5), logy=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2e8d6f77",
   "metadata": {},
   "outputs": [],
   "source": [
    "stats = buildings.groupby('Year Acquired')['Square Footage'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bb18a4ac",
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year Acquired</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>1753.0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>1200.00</td>\n",
       "      <td>1200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1802.0</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2220.000000</td>\n",
       "      <td>1943.129435</td>\n",
       "      <td>846.0</td>\n",
       "      <td>1533.0</td>\n",
       "      <td>2220.0</td>\n",
       "      <td>2907.00</td>\n",
       "      <td>3594.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1810.0</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1344.333333</td>\n",
       "      <td>1809.945948</td>\n",
       "      <td>216.0</td>\n",
       "      <td>300.5</td>\n",
       "      <td>385.0</td>\n",
       "      <td>1908.50</td>\n",
       "      <td>3432.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1832.0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>120000.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>120000.00</td>\n",
       "      <td>120000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1837.0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>10302.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10302.0</td>\n",
       "      <td>10302.0</td>\n",
       "      <td>10302.0</td>\n",
       "      <td>10302.00</td>\n",
       "      <td>10302.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015.0</th>\n",
       "      <td>20.0</td>\n",
       "      <td>15254.650000</td>\n",
       "      <td>29153.085290</td>\n",
       "      <td>144.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>3152.0</td>\n",
       "      <td>10590.25</td>\n",
       "      <td>105000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016.0</th>\n",
       "      <td>10.0</td>\n",
       "      <td>30483.900000</td>\n",
       "      <td>61864.180491</td>\n",
       "      <td>1152.0</td>\n",
       "      <td>2464.0</td>\n",
       "      <td>3352.5</td>\n",
       "      <td>3793.00</td>\n",
       "      <td>184000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017.0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>6720.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6720.0</td>\n",
       "      <td>6720.0</td>\n",
       "      <td>6720.0</td>\n",
       "      <td>6720.00</td>\n",
       "      <td>6720.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018.0</th>\n",
       "      <td>4.0</td>\n",
       "      <td>4290.000000</td>\n",
       "      <td>5153.644342</td>\n",
       "      <td>1455.0</td>\n",
       "      <td>1455.0</td>\n",
       "      <td>1852.5</td>\n",
       "      <td>4687.50</td>\n",
       "      <td>12000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019.0</th>\n",
       "      <td>2.0</td>\n",
       "      <td>760.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>760.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>760.00</td>\n",
       "      <td>760.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>171 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               count           mean           std       min       25%  \\\n",
       "Year Acquired                                                           \n",
       "1753.0           1.0    1200.000000           NaN    1200.0    1200.0   \n",
       "1802.0           2.0    2220.000000   1943.129435     846.0    1533.0   \n",
       "1810.0           3.0    1344.333333   1809.945948     216.0     300.5   \n",
       "1832.0           1.0  120000.000000           NaN  120000.0  120000.0   \n",
       "1837.0           1.0   10302.000000           NaN   10302.0   10302.0   \n",
       "...              ...            ...           ...       ...       ...   \n",
       "2015.0          20.0   15254.650000  29153.085290     144.0     696.0   \n",
       "2016.0          10.0   30483.900000  61864.180491    1152.0    2464.0   \n",
       "2017.0           1.0    6720.000000           NaN    6720.0    6720.0   \n",
       "2018.0           4.0    4290.000000   5153.644342    1455.0    1455.0   \n",
       "2019.0           2.0     760.000000      0.000000     760.0     760.0   \n",
       "\n",
       "                    50%        75%       max  \n",
       "Year Acquired                                 \n",
       "1753.0           1200.0    1200.00    1200.0  \n",
       "1802.0           2220.0    2907.00    3594.0  \n",
       "1810.0            385.0    1908.50    3432.0  \n",
       "1832.0         120000.0  120000.00  120000.0  \n",
       "1837.0          10302.0   10302.00   10302.0  \n",
       "...                 ...        ...       ...  \n",
       "2015.0           3152.0   10590.25  105000.0  \n",
       "2016.0           3352.5    3793.00  184000.0  \n",
       "2017.0           6720.0    6720.00    6720.0  \n",
       "2018.0           1852.5    4687.50   12000.0  \n",
       "2019.0            760.0     760.00     760.0  \n",
       "\n",
       "[171 rows x 8 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7bd90afb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,3))\n",
    "ax.plot(stats['max'], marker='.', label='Max')\n",
    "ax.plot(stats['min'], marker='.', label='Min')\n",
    "ax.set_yscale('log')\n",
    "ax.set_xlabel('Year Acquired')\n",
    "ax.set_ylabel('Min/Max Square Footage')\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "bc04a1ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-309710f2b83b40158589a0f27111cac3.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-309710f2b83b40158589a0f27111cac3.vega-embed details,\n",
       "  #altair-viz-309710f2b83b40158589a0f27111cac3.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-309710f2b83b40158589a0f27111cac3\"></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-309710f2b83b40158589a0f27111cac3\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-309710f2b83b40158589a0f27111cac3\");\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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       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lines = alt.Chart(stats).mark_line().encode(\n",
    "    alt.X(\"Year Acquired:O\"),\n",
    "    alt.Y(\"max:Q\")\n",
    ")\n",
    "lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5a70cc85",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>15254.650000</td>\n",
       "      <td>29153.085290</td>\n",
       "      <td>144.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>3152.0</td>\n",
       "      <td>10590.25</td>\n",
       "      <td>105000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>30483.900000</td>\n",
       "      <td>61864.180491</td>\n",
       "      <td>1152.0</td>\n",
       "      <td>2464.0</td>\n",
       "      <td>3352.5</td>\n",
       "      <td>3793.00</td>\n",
       "      <td>184000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6720.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6720.0</td>\n",
       "      <td>6720.0</td>\n",
       "      <td>6720.0</td>\n",
       "      <td>6720.00</td>\n",
       "      <td>6720.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>2018.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4290.000000</td>\n",
       "      <td>5153.644342</td>\n",
       "      <td>1455.0</td>\n",
       "      <td>1455.0</td>\n",
       "      <td>1852.5</td>\n",
       "      <td>4687.50</td>\n",
       "      <td>12000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>2019.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>760.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>760.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>760.00</td>\n",
       "      <td>760.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>171 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year Acquired  count           mean           std       min       25%  \\\n",
       "0           1753.0    1.0    1200.000000           NaN    1200.0    1200.0   \n",
       "1           1802.0    2.0    2220.000000   1943.129435     846.0    1533.0   \n",
       "2           1810.0    3.0    1344.333333   1809.945948     216.0     300.5   \n",
       "3           1832.0    1.0  120000.000000           NaN  120000.0  120000.0   \n",
       "4           1837.0    1.0   10302.000000           NaN   10302.0   10302.0   \n",
       "..             ...    ...            ...           ...       ...       ...   \n",
       "166         2015.0   20.0   15254.650000  29153.085290     144.0     696.0   \n",
       "167         2016.0   10.0   30483.900000  61864.180491    1152.0    2464.0   \n",
       "168         2017.0    1.0    6720.000000           NaN    6720.0    6720.0   \n",
       "169         2018.0    4.0    4290.000000   5153.644342    1455.0    1455.0   \n",
       "170         2019.0    2.0     760.000000      0.000000     760.0     760.0   \n",
       "\n",
       "          50%        75%       max  \n",
       "0      1200.0    1200.00    1200.0  \n",
       "1      2220.0    2907.00    3594.0  \n",
       "2       385.0    1908.50    3432.0  \n",
       "3    120000.0  120000.00  120000.0  \n",
       "4     10302.0   10302.00   10302.0  \n",
       "..        ...        ...       ...  \n",
       "166    3152.0   10590.25  105000.0  \n",
       "167    3352.5    3793.00  184000.0  \n",
       "168    6720.0    6720.00    6720.0  \n",
       "169    1852.5    4687.50   12000.0  \n",
       "170     760.0     760.00     760.0  \n",
       "\n",
       "[171 rows x 9 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a36627b5",
   "metadata": {},
   "outputs": [
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3.0, \"mean\": 50493.333333333336, \"std\": 53825.39714050732, \"min\": 4380.0, \"25%\": 20921.0, \"50%\": 37462.0, \"75%\": 73550.0, \"max\": 109638.0}, {\"Year Acquired\": 1893.0, \"count\": 6.0, \"mean\": 6598.333333333333, \"std\": 4939.713217046782, \"min\": 800.0, \"25%\": 2475.0, \"50%\": 6757.5, \"75%\": 10128.75, \"max\": 12975.0}, {\"Year Acquired\": 1894.0, \"count\": 1.0, \"mean\": 85000.0, \"std\": null, \"min\": 85000.0, \"25%\": 85000.0, \"50%\": 85000.0, \"75%\": 85000.0, \"max\": 85000.0}, {\"Year Acquired\": 1895.0, \"count\": 7.0, \"mean\": 32239.571428571428, \"std\": 35308.668821585175, \"min\": 4444.0, \"25%\": 13050.0, \"50%\": 23430.0, \"75%\": 31497.5, \"max\": 108708.0}, {\"Year Acquired\": 1896.0, \"count\": 6.0, \"mean\": 48360.833333333336, \"std\": 32818.91091073356, \"min\": 13401.0, \"25%\": 19152.75, \"50%\": 48302.0, \"75%\": 70368.25, \"max\": 93000.0}, {\"Year Acquired\": 1897.0, \"count\": 1.0, \"mean\": 132907.0, \"std\": null, \"min\": 132907.0, \"25%\": 132907.0, \"50%\": 132907.0, \"75%\": 132907.0, \"max\": 132907.0}, {\"Year Acquired\": 1898.0, \"count\": 2.0, \"mean\": 18380.0, \"std\": 23589.082220383225, \"min\": 1700.0, \"25%\": 10040.0, \"50%\": 18380.0, \"75%\": 26720.0, \"max\": 35060.0}, {\"Year Acquired\": 1899.0, \"count\": 3.0, \"mean\": 40491.666666666664, \"std\": 9595.529914149261, \"min\": 32229.0, \"25%\": 35229.5, \"50%\": 38230.0, \"75%\": 44623.0, \"max\": 51016.0}, {\"Year Acquired\": 1900.0, \"count\": 27.0, \"mean\": 12438.333333333334, \"std\": 24407.48622546275, \"min\": 200.0, \"25%\": 1053.5, \"50%\": 2220.0, \"75%\": 7282.0, \"max\": 107660.0}, {\"Year Acquired\": 1901.0, \"count\": 3.0, \"mean\": 36495.333333333336, \"std\": 44235.87532007628, \"min\": 1450.0, \"25%\": 11643.0, \"50%\": 21836.0, \"75%\": 54018.0, \"max\": 86200.0}, {\"Year Acquired\": 1902.0, \"count\": 8.0, \"mean\": 33715.625, \"std\": 74910.74220113561, \"min\": 82.0, \"25%\": 274.5, \"50%\": 608.5, \"75%\": 15125.0, \"max\": 214000.0}, {\"Year Acquired\": 1903.0, \"count\": 6.0, \"mean\": 26764.0, \"std\": 22442.40435425759, \"min\": 10288.0, \"25%\": 15330.5, \"50%\": 20377.0, \"75%\": 23456.25, \"max\": 71411.0}, {\"Year Acquired\": 1904.0, \"count\": 7.0, \"mean\": 5852.0, \"std\": 5686.738256681065, \"min\": 480.0, \"25%\": 1840.0, \"50%\": 4000.0, \"75%\": 8752.0, \"max\": 15300.0}, {\"Year Acquired\": 1905.0, \"count\": 13.0, \"mean\": 24068.153846153848, \"std\": 38173.902599040426, \"min\": 150.0, \"25%\": 5910.0, \"50%\": 7500.0, \"75%\": 16086.0, \"max\": 132146.0}, {\"Year Acquired\": 1906.0, \"count\": 2.0, \"mean\": 10187.0, \"std\": 5038.842922735338, \"min\": 6624.0, \"25%\": 8405.5, \"50%\": 10187.0, \"75%\": 11968.5, \"max\": 13750.0}, {\"Year Acquired\": 1907.0, \"count\": 9.0, \"mean\": 14809.444444444445, \"std\": 14097.166977012714, \"min\": 2900.0, \"25%\": 5625.0, \"50%\": 9816.0, \"75%\": 15782.0, \"max\": 47656.0}, {\"Year Acquired\": 1908.0, \"count\": 11.0, \"mean\": 32750.18181818182, \"std\": 30984.242959343646, \"min\": 2682.0, \"25%\": 7677.5, \"50%\": 32146.0, \"75%\": 47762.0, \"max\": 102521.0}, {\"Year Acquired\": 1909.0, \"count\": 7.0, \"mean\": 42611.857142857145, \"std\": 46199.134419844464, \"min\": 2175.0, \"25%\": 18149.0, \"50%\": 38680.0, \"75%\": 39424.5, \"max\": 142281.0}, {\"Year Acquired\": 1910.0, \"count\": 22.0, \"mean\": 10518.681818181818, \"std\": 12792.414930382858, \"min\": 150.0, \"25%\": 642.0, \"50%\": 5675.0, \"75%\": 14022.0, \"max\": 45072.0}, {\"Year Acquired\": 1911.0, \"count\": 8.0, \"mean\": 29715.25, \"std\": 56212.93885307901, \"min\": 160.0, \"25%\": 5261.25, \"50%\": 8981.0, \"75%\": 17153.25, \"max\": 166742.0}, {\"Year Acquired\": 1912.0, \"count\": 9.0, \"mean\": 46979.11111111111, \"std\": 31165.397067278172, \"min\": 3464.0, \"25%\": 31683.0, \"50%\": 50408.0, \"75%\": 51944.0, \"max\": 100570.0}, {\"Year Acquired\": 1913.0, \"count\": 17.0, \"mean\": 9335.882352941177, \"std\": 8638.002972926908, \"min\": 1152.0, \"25%\": 5976.0, \"50%\": 5976.0, \"75%\": 6974.0, \"max\": 35415.0}, {\"Year Acquired\": 1914.0, \"count\": 4.0, \"mean\": 83526.5, \"std\": 133998.1448988505, \"min\": 3288.0, \"25%\": 7689.75, \"50%\": 23812.0, \"75%\": 99648.75, \"max\": 283194.0}, {\"Year Acquired\": 1915.0, \"count\": 16.0, \"mean\": 33253.1875, \"std\": 36118.06747546856, \"min\": 3736.0, \"25%\": 13754.5, \"50%\": 22300.5, \"75%\": 33683.0, \"max\": 148780.0}, {\"Year Acquired\": 1916.0, \"count\": 11.0, \"mean\": 19092.090909090908, \"std\": 19720.66584806175, \"min\": 16.0, \"25%\": 2610.0, \"50%\": 17880.0, \"75%\": 28189.5, \"max\": 56120.0}, {\"Year Acquired\": 1917.0, \"count\": 2.0, \"mean\": 16488.0, \"std\": 16393.563615028917, \"min\": 4896.0, \"25%\": 10692.0, \"50%\": 16488.0, \"75%\": 22284.0, \"max\": 28080.0}, {\"Year Acquired\": 1918.0, \"count\": 6.0, \"mean\": 7100.5, \"std\": 5232.420462845087, \"min\": 168.0, \"25%\": 4916.75, \"50%\": 6522.0, \"75%\": 8470.0, \"max\": 15890.0}, {\"Year Acquired\": 1919.0, \"count\": 6.0, \"mean\": 10813.0, \"std\": 9682.2401953267, \"min\": 2100.0, \"25%\": 5588.25, \"50%\": 6017.5, \"75%\": 15196.25, \"max\": 27042.0}, {\"Year Acquired\": 1920.0, \"count\": 38.0, \"mean\": 10580.5, \"std\": 20442.264121640706, \"min\": 100.0, \"25%\": 1575.0, \"50%\": 3282.5, \"75%\": 7585.0, \"max\": 100000.0}, {\"Year Acquired\": 1921.0, \"count\": 18.0, \"mean\": 10417.222222222223, \"std\": 15577.069049824699, \"min\": 168.0, \"25%\": 1806.0, \"50%\": 5527.0, \"75%\": 11241.75, \"max\": 65876.0}, {\"Year Acquired\": 1922.0, \"count\": 10.0, \"mean\": 17159.4, \"std\": 24697.70899046666, \"min\": 288.0, \"25%\": 673.5, \"50%\": 1723.0, \"75%\": 39454.5, \"max\": 55764.0}, {\"Year Acquired\": 1923.0, \"count\": 13.0, \"mean\": 42258.46153846154, \"std\": 116712.13873859006, \"min\": 138.0, \"25%\": 1701.0, \"50%\": 3083.0, \"75%\": 3200.0, \"max\": 420367.0}, {\"Year Acquired\": 1924.0, \"count\": 8.0, \"mean\": 15792.125, \"std\": 13856.473798373092, \"min\": 3200.0, \"25%\": 9447.5, \"50%\": 12879.0, \"75%\": 15391.0, \"max\": 47493.0}, {\"Year Acquired\": 1925.0, \"count\": 13.0, \"mean\": 43784.46153846154, \"std\": 70809.25675905115, \"min\": 25.0, \"25%\": 1800.0, \"50%\": 8296.0, \"75%\": 38988.0, \"max\": 203204.0}, {\"Year Acquired\": 1926.0, \"count\": 17.0, \"mean\": 64058.64705882353, \"std\": 142584.86687624903, \"min\": 108.0, \"25%\": 4635.0, \"50%\": 12624.0, \"75%\": 63440.0, \"max\": 596000.0}, {\"Year Acquired\": 1927.0, \"count\": 18.0, \"mean\": 35424.72222222222, \"std\": 45566.20191197645, \"min\": 693.0, \"25%\": 5218.75, \"50%\": 17263.5, \"75%\": 49970.5, \"max\": 150659.0}, {\"Year Acquired\": 1928.0, \"count\": 30.0, \"mean\": 17604.066666666666, \"std\": 20197.49902908489, \"min\": 48.0, \"25%\": 2271.5, \"50%\": 9359.0, \"75%\": 20854.25, \"max\": 69600.0}, {\"Year Acquired\": 1929.0, \"count\": 37.0, \"mean\": 21414.297297297297, \"std\": 74637.60498638474, \"min\": 10.0, \"25%\": 2500.0, \"50%\": 4386.0, \"75%\": 7900.0, \"max\": 450000.0}, {\"Year Acquired\": 1930.0, \"count\": 101.0, \"mean\": 8335.336633663366, \"std\": 14198.32314062279, \"min\": 50.0, \"25%\": 800.0, \"50%\": 2333.0, \"75%\": 10548.0, \"max\": 73856.0}, {\"Year Acquired\": 1931.0, \"count\": 29.0, \"mean\": 35125.1724137931, \"std\": 71166.494532223, \"min\": 388.0, \"25%\": 1950.0, \"50%\": 3025.0, \"75%\": 15220.0, \"max\": 299772.0}, {\"Year Acquired\": 1932.0, \"count\": 60.0, \"mean\": 6901.216666666666, \"std\": 16106.379981386322, \"min\": 25.0, \"25%\": 325.0, \"50%\": 1060.0, \"75%\": 5418.0, \"max\": 90200.0}, {\"Year Acquired\": 1933.0, \"count\": 9.0, \"mean\": 7662.555555555556, \"std\": 8360.394026466563, \"min\": 300.0, \"25%\": 2581.0, \"50%\": 3240.0, \"75%\": 12000.0, \"max\": 26110.0}, {\"Year Acquired\": 1934.0, \"count\": 13.0, \"mean\": 13542.23076923077, \"std\": 20302.343748747524, \"min\": 282.0, \"25%\": 282.0, \"50%\": 1155.0, \"75%\": 12473.0, \"max\": 58305.0}, {\"Year Acquired\": 1935.0, \"count\": 214.0, \"mean\": 3236.121495327103, \"std\": 11348.703456140016, \"min\": 30.0, \"25%\": 228.0, \"50%\": 239.0, \"75%\": 800.0, \"max\": 80000.0}, {\"Year Acquired\": 1936.0, \"count\": 60.0, \"mean\": 11056.666666666666, \"std\": 14641.102723898613, \"min\": 70.0, \"25%\": 900.0, \"50%\": 5437.0, \"75%\": 16126.75, \"max\": 76228.0}, {\"Year Acquired\": 1937.0, \"count\": 52.0, \"mean\": 17813.384615384617, \"std\": 35813.398188526524, \"min\": 130.0, \"25%\": 2004.75, \"50%\": 12414.0, \"75%\": 17836.5, \"max\": 254636.0}, {\"Year Acquired\": 1938.0, \"count\": 32.0, \"mean\": 34791.28125, \"std\": 42049.79960769586, \"min\": 48.0, \"25%\": 2503.25, \"50%\": 26928.5, \"75%\": 33219.75, \"max\": 134450.0}, {\"Year Acquired\": 1939.0, \"count\": 30.0, \"mean\": 11719.1, \"std\": 21553.732876712787, \"min\": 224.0, \"25%\": 1898.25, \"50%\": 3816.5, \"75%\": 10883.5, \"max\": 109393.0}, {\"Year Acquired\": 1940.0, \"count\": 67.0, \"mean\": 19286.567164179105, \"std\": 52759.11072613758, \"min\": 30.0, \"25%\": 795.0, \"50%\": 2656.0, \"75%\": 13242.0, \"max\": 341100.0}, {\"Year Acquired\": 1941.0, \"count\": 27.0, \"mean\": 12807.777777777777, \"std\": 20989.624296365193, \"min\": 100.0, \"25%\": 1475.5, \"50%\": 4000.0, \"75%\": 12810.0, \"max\": 88973.0}, {\"Year Acquired\": 1942.0, \"count\": 25.0, \"mean\": 9722.8, \"std\": 18649.573008963678, \"min\": 122.0, \"25%\": 432.0, \"50%\": 2182.0, \"75%\": 7609.0, \"max\": 71274.0}, {\"Year Acquired\": 1943.0, \"count\": 9.0, \"mean\": 6402.0, \"std\": 7343.639986410009, \"min\": 363.0, \"25%\": 876.0, \"50%\": 1633.0, \"75%\": 11034.0, \"max\": 18626.0}, {\"Year Acquired\": 1944.0, \"count\": 10.0, \"mean\": 4460.2, \"std\": 5603.509947642935, \"min\": 224.0, \"25%\": 660.75, \"50%\": 3260.5, \"75%\": 4830.0, \"max\": 18826.0}, {\"Year Acquired\": 1945.0, \"count\": 20.0, \"mean\": 9503.95, \"std\": 23119.28846445391, \"min\": 27.0, \"25%\": 937.0, \"50%\": 1707.0, \"75%\": 3299.5, \"max\": 96404.0}, {\"Year Acquired\": 1946.0, \"count\": 8.0, \"mean\": 7350.0, \"std\": 15332.06515770136, \"min\": 270.0, \"25%\": 925.5, \"50%\": 1650.0, \"75%\": 3400.5, \"max\": 45000.0}, {\"Year Acquired\": 1947.0, \"count\": 20.0, \"mean\": 8236.5, \"std\": 14075.313893854243, \"min\": 50.0, \"25%\": 525.75, \"50%\": 3080.5, \"75%\": 5557.5, \"max\": 49185.0}, {\"Year Acquired\": 1948.0, \"count\": 54.0, \"mean\": 7007.537037037037, \"std\": 9656.249597595084, \"min\": 100.0, \"25%\": 863.25, \"50%\": 3205.0, \"75%\": 7376.0, \"max\": 38305.0}, {\"Year Acquired\": 1949.0, \"count\": 40.0, \"mean\": 22588.95, \"std\": 40756.41390766391, \"min\": 80.0, \"25%\": 1771.0, \"50%\": 7670.5, \"75%\": 17077.5, \"max\": 185214.0}, {\"Year Acquired\": 1950.0, \"count\": 175.0, \"mean\": 6808.171428571429, \"std\": 23767.581492790137, \"min\": 12.0, \"25%\": 309.0, \"50%\": 1374.0, \"75%\": 4575.0, \"max\": 260237.0}, {\"Year Acquired\": 1951.0, \"count\": 38.0, \"mean\": 15408.763157894737, \"std\": 32213.845755323822, \"min\": 145.0, \"25%\": 555.0, \"50%\": 2227.5, \"75%\": 8750.25, \"max\": 155636.0}, {\"Year Acquired\": 1952.0, \"count\": 44.0, \"mean\": 26227.0, \"std\": 50095.752137142794, \"min\": 25.0, \"25%\": 1578.75, \"50%\": 9290.5, \"75%\": 27378.25, \"max\": 280139.0}, {\"Year Acquired\": 1953.0, \"count\": 65.0, \"mean\": 7561.476923076923, \"std\": 24018.615784238384, \"min\": 120.0, \"25%\": 280.0, \"50%\": 1618.0, \"75%\": 3711.0, \"max\": 164939.0}, {\"Year Acquired\": 1954.0, \"count\": 73.0, \"mean\": 10464.82191780822, \"std\": 31190.46451389986, \"min\": 40.0, \"25%\": 576.0, \"50%\": 892.0, \"75%\": 4900.0, \"max\": 243593.0}, {\"Year Acquired\": 1955.0, \"count\": 65.0, \"mean\": 12526.476923076923, \"std\": 57663.39538056934, \"min\": 20.0, \"25%\": 350.0, \"50%\": 1469.0, \"75%\": 5220.0, \"max\": 452523.0}, {\"Year Acquired\": 1956.0, \"count\": 54.0, \"mean\": 21482.12962962963, \"std\": 54267.8608817502, \"min\": 132.0, \"25%\": 2382.0, \"50%\": 4423.0, \"75%\": 13901.75, \"max\": 331541.0}, {\"Year Acquired\": 1957.0, \"count\": 56.0, \"mean\": 16544.303571428572, \"std\": 26266.414561647933, \"min\": 40.0, \"25%\": 883.5, \"50%\": 5928.0, \"75%\": 20059.5, \"max\": 119500.0}, {\"Year Acquired\": 1958.0, \"count\": 92.0, \"mean\": 10273.108695652174, \"std\": 25633.219600490233, \"min\": 12.0, \"25%\": 560.0, \"50%\": 2400.0, \"75%\": 8043.0, \"max\": 190977.0}, {\"Year Acquired\": 1959.0, \"count\": 63.0, \"mean\": 23393.539682539682, \"std\": 54551.838832383706, \"min\": 20.0, \"25%\": 2442.0, \"50%\": 6000.0, \"75%\": 16933.5, \"max\": 344652.0}, {\"Year Acquired\": 1960.0, \"count\": 141.0, \"mean\": 6770.992907801418, \"std\": 30578.953011016405, \"min\": 9.0, \"25%\": 288.0, \"50%\": 984.0, \"75%\": 2912.0, \"max\": 323525.0}, {\"Year Acquired\": 1961.0, \"count\": 51.0, \"mean\": 16320.313725490196, \"std\": 33994.95869771881, \"min\": 25.0, \"25%\": 727.5, \"50%\": 2800.0, \"75%\": 8354.0, \"max\": 183750.0}, {\"Year Acquired\": 1962.0, \"count\": 72.0, \"mean\": 17826.76388888889, \"std\": 40203.09748997628, \"min\": 12.0, \"25%\": 1279.5, \"50%\": 3239.5, \"75%\": 12446.5, \"max\": 252320.0}, {\"Year Acquired\": 1963.0, \"count\": 113.0, \"mean\": 21474.672566371682, \"std\": 50204.632323344296, \"min\": 12.0, \"25%\": 1512.0, \"50%\": 3804.0, \"75%\": 19000.0, \"max\": 335918.0}, {\"Year Acquired\": 1964.0, \"count\": 130.0, \"mean\": 19322.992307692308, \"std\": 36597.21245399766, \"min\": 20.0, \"25%\": 600.0, \"50%\": 2632.0, \"75%\": 17667.0, \"max\": 185880.0}, {\"Year Acquired\": 1965.0, \"count\": 173.0, \"mean\": 24489.323699421966, \"std\": 53535.174160169925, \"min\": 20.0, \"25%\": 1456.0, \"50%\": 4200.0, \"75%\": 23120.0, \"max\": 460546.0}, {\"Year Acquired\": 1966.0, \"count\": 77.0, \"mean\": 28220.12987012987, \"std\": 45177.83189252476, \"min\": 16.0, \"25%\": 2048.0, \"50%\": 5863.0, \"75%\": 36075.0, \"max\": 224843.0}, {\"Year Acquired\": 1967.0, \"count\": 117.0, \"mean\": 20335.1452991453, \"std\": 34592.454321781915, \"min\": 12.0, \"25%\": 1800.0, \"50%\": 8349.0, \"75%\": 18490.0, \"max\": 228083.0}, {\"Year Acquired\": 1968.0, \"count\": 123.0, \"mean\": 13546.325203252032, \"std\": 40273.1453669295, \"min\": 20.0, \"25%\": 955.0, \"50%\": 2400.0, \"75%\": 7196.0, \"max\": 277091.0}, {\"Year Acquired\": 1969.0, \"count\": 62.0, \"mean\": 35578.596774193546, \"std\": 82299.22748725335, \"min\": 25.0, \"25%\": 589.5, \"50%\": 4456.0, \"75%\": 13613.75, \"max\": 456722.0}, {\"Year Acquired\": 1970.0, \"count\": 216.0, \"mean\": 9183.99537037037, \"std\": 28057.240951477765, \"min\": 18.0, \"25%\": 240.0, \"50%\": 889.0, \"75%\": 4380.5, \"max\": 226525.0}, {\"Year Acquired\": 1971.0, \"count\": 109.0, \"mean\": 23629.577981651375, \"std\": 58685.71346703613, \"min\": 124.0, \"25%\": 1437.0, \"50%\": 5760.0, \"75%\": 20303.0, \"max\": 500000.0}, {\"Year Acquired\": 1972.0, \"count\": 121.0, \"mean\": 15613.01652892562, \"std\": 48993.93354997867, \"min\": 16.0, \"25%\": 144.0, \"50%\": 1280.0, \"75%\": 5353.0, \"max\": 347981.0}, {\"Year Acquired\": 1973.0, \"count\": 125.0, \"mean\": 9745.432, \"std\": 26849.922143617525, \"min\": 24.0, \"25%\": 1800.0, \"50%\": 2920.0, \"75%\": 3040.0, \"max\": 185458.0}, {\"Year Acquired\": 1974.0, \"count\": 192.0, \"mean\": 4999.770833333333, \"std\": 22745.999592577424, \"min\": 16.0, \"25%\": 36.0, \"50%\": 1680.0, \"75%\": 2800.0, \"max\": 277831.0}, {\"Year Acquired\": 1975.0, \"count\": 238.0, \"mean\": 5861.399159663865, \"std\": 16332.917613982725, \"min\": 16.0, \"25%\": 640.0, \"50%\": 2729.5, \"75%\": 3750.0, \"max\": 160305.0}, {\"Year Acquired\": 1976.0, \"count\": 139.0, \"mean\": 10166.84892086331, \"std\": 37905.41062711686, \"min\": 16.0, \"25%\": 200.0, \"50%\": 1120.0, \"75%\": 3600.0, \"max\": 298474.0}, {\"Year Acquired\": 1977.0, \"count\": 98.0, \"mean\": 12004.65306122449, \"std\": 75215.12199048368, \"min\": 18.0, \"25%\": 42.0, \"50%\": 349.5, \"75%\": 1734.0, \"max\": 671416.0}, {\"Year Acquired\": 1978.0, \"count\": 79.0, \"mean\": 12148.658227848102, \"std\": 30707.55389021007, \"min\": 48.0, \"25%\": 534.0, \"50%\": 1440.0, \"75%\": 6804.0, \"max\": 144534.0}, {\"Year Acquired\": 1979.0, \"count\": 116.0, \"mean\": 3286.043103448276, \"std\": 9702.435457941334, \"min\": 12.0, \"25%\": 150.0, \"50%\": 460.5, \"75%\": 2220.0, \"max\": 70995.0}, {\"Year Acquired\": 1980.0, \"count\": 136.0, \"mean\": 3040.25, \"std\": 9626.164334192976, \"min\": 12.0, \"25%\": 120.0, \"50%\": 310.0, \"75%\": 1800.0, \"max\": 82247.0}, {\"Year Acquired\": 1981.0, \"count\": 175.0, \"mean\": 10051.891428571429, \"std\": 26853.691353624563, \"min\": 20.0, \"25%\": 432.0, \"50%\": 3450.0, \"75%\": 8895.0, \"max\": 216283.0}, {\"Year Acquired\": 1982.0, \"count\": 80.0, \"mean\": 10162.3875, \"std\": 34968.08857037605, \"min\": 20.0, \"25%\": 400.0, \"50%\": 1000.0, \"75%\": 4364.0, \"max\": 258516.0}, {\"Year Acquired\": 1983.0, \"count\": 56.0, \"mean\": 12152.964285714286, \"std\": 26712.921492970592, \"min\": 25.0, \"25%\": 234.0, \"50%\": 900.0, \"75%\": 12147.0, \"max\": 147000.0}, {\"Year Acquired\": 1984.0, \"count\": 137.0, \"mean\": 14252.21897810219, \"std\": 78602.29920130267, \"min\": 18.0, \"25%\": 192.0, \"50%\": 1100.0, \"75%\": 10160.0, \"max\": 913236.0}, {\"Year Acquired\": 1985.0, \"count\": 147.0, \"mean\": 13685.251700680272, \"std\": 99310.80973863353, \"min\": 20.0, \"25%\": 240.0, \"50%\": 805.0, \"75%\": 4350.0, \"max\": 1200000.0}, {\"Year Acquired\": 1986.0, \"count\": 169.0, \"mean\": 5693.7692307692305, \"std\": 14956.371277342447, \"min\": 12.0, \"25%\": 190.0, \"50%\": 896.0, \"75%\": 3000.0, \"max\": 101614.0}, {\"Year Acquired\": 1987.0, \"count\": 159.0, \"mean\": 8526.4213836478, \"std\": 31069.05988367671, \"min\": 18.0, \"25%\": 104.0, \"50%\": 1128.0, \"75%\": 4774.0, \"max\": 344228.0}, {\"Year Acquired\": 1988.0, \"count\": 135.0, \"mean\": 3601.651851851852, \"std\": 8764.455069282427, \"min\": 18.0, \"25%\": 220.0, \"50%\": 900.0, \"75%\": 3156.0, \"max\": 75000.0}, {\"Year Acquired\": 1989.0, \"count\": 192.0, \"mean\": 11383.854166666666, \"std\": 36610.12461855261, \"min\": 16.0, \"25%\": 144.0, \"50%\": 1584.5, \"75%\": 5334.0, \"max\": 443865.0}, {\"Year Acquired\": 1990.0, \"count\": 182.0, \"mean\": 12137.626373626374, \"std\": 30761.23202299185, \"min\": 36.0, \"25%\": 183.5, \"50%\": 1810.0, \"75%\": 13194.0, \"max\": 226062.0}, {\"Year Acquired\": 1991.0, \"count\": 99.0, \"mean\": 16705.52525252525, \"std\": 81556.1192773322, \"min\": 18.0, \"25%\": 544.0, \"50%\": 1728.0, \"75%\": 5139.0, \"max\": 779732.0}, {\"Year Acquired\": 1992.0, \"count\": 110.0, \"mean\": 8187.363636363636, \"std\": 18316.35315337178, \"min\": 20.0, \"25%\": 360.0, \"50%\": 1818.0, \"75%\": 4710.0, \"max\": 119735.0}, {\"Year Acquired\": 1993.0, \"count\": 91.0, \"mean\": 3868.1098901098903, \"std\": 7280.909893459668, \"min\": 18.0, \"25%\": 90.0, \"50%\": 1050.0, \"75%\": 4223.0, \"max\": 40000.0}, {\"Year Acquired\": 1994.0, \"count\": 107.0, \"mean\": 4071.5607476635514, \"std\": 8359.039006761357, \"min\": 36.0, \"25%\": 560.0, \"50%\": 1568.0, \"75%\": 3936.0, \"max\": 49275.0}, {\"Year Acquired\": 1995.0, \"count\": 122.0, \"mean\": 7191.770491803279, \"std\": 17967.955431633607, \"min\": 64.0, \"25%\": 309.0, \"50%\": 1920.0, \"75%\": 4815.0, \"max\": 119700.0}, {\"Year Acquired\": 1996.0, \"count\": 137.0, \"mean\": 9865.627737226278, \"std\": 33201.52837995283, \"min\": 20.0, \"25%\": 144.0, \"50%\": 1176.0, \"75%\": 4032.0, \"max\": 242165.0}, {\"Year Acquired\": 1997.0, \"count\": 108.0, \"mean\": 10283.925925925925, \"std\": 22768.56624831277, \"min\": 24.0, \"25%\": 224.75, \"50%\": 1825.0, \"75%\": 4652.25, \"max\": 125000.0}, {\"Year Acquired\": 1998.0, \"count\": 124.0, \"mean\": 5898.3387096774195, \"std\": 14060.043460529749, \"min\": 25.0, \"25%\": 286.0, \"50%\": 847.5, \"75%\": 4299.0, \"max\": 116030.0}, {\"Year Acquired\": 1999.0, \"count\": 151.0, \"mean\": 2413.3576158940396, \"std\": 5231.4449824681915, \"min\": 30.0, \"25%\": 144.0, \"50%\": 384.0, \"75%\": 2104.0, \"max\": 45000.0}, {\"Year Acquired\": 2000.0, \"count\": 357.0, \"mean\": 3498.002801120448, \"std\": 11276.816349499064, \"min\": 24.0, \"25%\": 144.0, \"50%\": 234.0, \"75%\": 1584.0, \"max\": 131835.0}, {\"Year Acquired\": 2001.0, \"count\": 168.0, \"mean\": 7916.392857142857, \"std\": 29596.44608359036, \"min\": 64.0, \"25%\": 144.0, \"50%\": 313.0, \"75%\": 2401.5, \"max\": 307288.0}, {\"Year Acquired\": 2002.0, \"count\": 116.0, \"mean\": 8931.98275862069, \"std\": 20494.191820667347, \"min\": 80.0, \"25%\": 332.0, \"50%\": 1300.0, \"75%\": 6300.0, \"max\": 140000.0}, {\"Year Acquired\": 2003.0, \"count\": 104.0, \"mean\": 10015.663461538461, \"std\": 37322.69734282202, \"min\": 20.0, \"25%\": 144.0, \"50%\": 180.0, \"75%\": 2456.0, \"max\": 318437.0}, {\"Year Acquired\": 2004.0, \"count\": 79.0, \"mean\": 7281.658227848101, \"std\": 24762.442250873573, \"min\": 70.0, \"25%\": 144.0, \"50%\": 144.0, \"75%\": 4052.5, \"max\": 155174.0}, {\"Year Acquired\": 2005.0, \"count\": 75.0, \"mean\": 19925.48, \"std\": 56811.500047123605, \"min\": 60.0, \"25%\": 144.0, \"50%\": 288.0, \"75%\": 3036.0, \"max\": 335247.0}, {\"Year Acquired\": 2006.0, \"count\": 193.0, \"mean\": 3221.295336787565, \"std\": 16471.966229616104, \"min\": 36.0, \"25%\": 75.0, \"50%\": 75.0, \"75%\": 700.0, \"max\": 180000.0}, {\"Year Acquired\": 2007.0, \"count\": 42.0, \"mean\": 23703.0, \"std\": 47710.47411310813, \"min\": 20.0, \"25%\": 501.75, \"50%\": 2460.0, \"75%\": 10833.0, \"max\": 202759.0}, {\"Year Acquired\": 2008.0, \"count\": 11.0, \"mean\": 14565.727272727272, \"std\": 43181.082883806666, \"min\": 93.0, \"25%\": 147.0, \"50%\": 700.0, \"75%\": 2437.5, \"max\": 144580.0}, {\"Year Acquired\": 2009.0, \"count\": 20.0, \"mean\": 12986.2, \"std\": 25445.14786462503, \"min\": 20.0, \"25%\": 466.5, \"50%\": 2109.5, \"75%\": 9186.5, \"max\": 96000.0}, {\"Year Acquired\": 2010.0, \"count\": 22.0, \"mean\": 17214.772727272728, \"std\": 34147.04657511438, \"min\": 24.0, \"25%\": 495.0, \"50%\": 4000.0, \"75%\": 10937.75, \"max\": 148183.0}, {\"Year Acquired\": 2011.0, \"count\": 23.0, \"mean\": 6650.130434782609, \"std\": 15220.376605973586, \"min\": 24.0, \"25%\": 144.0, \"50%\": 1386.0, \"75%\": 4036.0, \"max\": 64000.0}, {\"Year Acquired\": 2012.0, \"count\": 23.0, \"mean\": 10874.478260869566, \"std\": 29866.02269967049, \"min\": 100.0, \"25%\": 850.0, \"50%\": 2464.0, \"75%\": 4670.0, \"max\": 136000.0}, {\"Year Acquired\": 2013.0, \"count\": 8.0, \"mean\": 48935.625, \"std\": 84820.0285713185, \"min\": 144.0, \"25%\": 144.0, \"50%\": 2673.0, \"75%\": 54398.5, \"max\": 230665.0}, {\"Year Acquired\": 2014.0, \"count\": 33.0, \"mean\": 20130.242424242424, \"std\": 25152.687037161533, \"min\": 10.0, \"25%\": 3200.0, \"50%\": 13387.0, \"75%\": 23040.0, \"max\": 94830.0}, {\"Year Acquired\": 2015.0, \"count\": 20.0, \"mean\": 15254.65, \"std\": 29153.08528996004, \"min\": 144.0, \"25%\": 696.0, \"50%\": 3152.0, \"75%\": 10590.25, \"max\": 105000.0}, {\"Year Acquired\": 2016.0, \"count\": 10.0, \"mean\": 30483.9, \"std\": 61864.18049144252, \"min\": 1152.0, \"25%\": 2464.0, \"50%\": 3352.5, \"75%\": 3793.0, \"max\": 184000.0}, {\"Year Acquired\": 2017.0, \"count\": 1.0, \"mean\": 6720.0, \"std\": null, \"min\": 6720.0, \"25%\": 6720.0, \"50%\": 6720.0, \"75%\": 6720.0, \"max\": 6720.0}, {\"Year Acquired\": 2018.0, \"count\": 4.0, \"mean\": 4290.0, \"std\": 5153.644341628553, \"min\": 1455.0, \"25%\": 1455.0, \"50%\": 1852.5, \"75%\": 4687.5, \"max\": 12000.0}, {\"Year Acquired\": 2019.0, \"count\": 2.0, \"mean\": 760.0, \"std\": 0.0, \"min\": 760.0, \"25%\": 760.0, \"50%\": 760.0, \"75%\": 760.0, \"max\": 760.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lines = alt.Chart(stats.reset_index()).mark_line().encode(\n",
    "    alt.X(\"Year Acquired:O\"),\n",
    "    alt.Y(\"max:Q\")\n",
    ").properties(\n",
    "    width=800\n",
    ")\n",
    "lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "558bc0fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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",
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       "    }\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",
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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",
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       "      maybeLoadScript(\"vega\", \"5\")\n",
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{\"Year Acquired\": 1832.0, \"count\": 1.0, \"mean\": 120000.0, \"std\": null, \"min\": 120000.0, \"25%\": 120000.0, \"50%\": 120000.0, \"75%\": 120000.0, \"max\": 120000.0}, {\"Year Acquired\": 1837.0, \"count\": 1.0, \"mean\": 10302.0, \"std\": null, \"min\": 10302.0, \"25%\": 10302.0, \"50%\": 10302.0, \"75%\": 10302.0, \"max\": 10302.0}, {\"Year Acquired\": 1838.0, \"count\": 1.0, \"mean\": 2010.0, \"std\": null, \"min\": 2010.0, \"25%\": 2010.0, \"50%\": 2010.0, \"75%\": 2010.0, \"max\": 2010.0}, {\"Year Acquired\": 1839.0, \"count\": 1.0, \"mean\": 11752.0, \"std\": null, \"min\": 11752.0, \"25%\": 11752.0, \"50%\": 11752.0, \"75%\": 11752.0, \"max\": 11752.0}, {\"Year Acquired\": 1840.0, \"count\": 8.0, \"mean\": 4614.75, \"std\": 6890.521496955074, \"min\": 608.0, \"25%\": 750.0, \"50%\": 1492.0, \"75%\": 4218.75, \"max\": 20221.0}, {\"Year Acquired\": 1841.0, \"count\": 1.0, \"mean\": 3256.0, \"std\": null, \"min\": 3256.0, \"25%\": 3256.0, \"50%\": 3256.0, \"75%\": 3256.0, 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null, \"min\": 4847.0, \"25%\": 4847.0, \"50%\": 4847.0, \"75%\": 4847.0, \"max\": 4847.0}, {\"Year Acquired\": 1860.0, \"count\": 6.0, \"mean\": 4569.5, \"std\": 7751.7325482759015, \"min\": 36.0, \"25%\": 527.25, \"50%\": 1606.5, \"75%\": 3282.0, \"max\": 20160.0}, {\"Year Acquired\": 1863.0, \"count\": 1.0, \"mean\": 15795.0, \"std\": null, \"min\": 15795.0, \"25%\": 15795.0, \"50%\": 15795.0, \"75%\": 15795.0, \"max\": 15795.0}, {\"Year Acquired\": 1865.0, \"count\": 9.0, \"mean\": 24832.666666666668, \"std\": 32196.90740583635, \"min\": 225.0, \"25%\": 225.0, \"50%\": 9540.0, \"75%\": 66150.0, \"max\": 68040.0}, {\"Year Acquired\": 1867.0, \"count\": 1.0, \"mean\": 2700.0, \"std\": null, \"min\": 2700.0, \"25%\": 2700.0, \"50%\": 2700.0, \"75%\": 2700.0, \"max\": 2700.0}, {\"Year Acquired\": 1870.0, \"count\": 1.0, \"mean\": 2864.0, \"std\": null, \"min\": 2864.0, \"25%\": 2864.0, \"50%\": 2864.0, \"75%\": 2864.0, \"max\": 2864.0}, {\"Year Acquired\": 1871.0, \"count\": 5.0, 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{\"Year Acquired\": 1878.0, \"count\": 1.0, \"mean\": 33071.0, \"std\": null, \"min\": 33071.0, \"25%\": 33071.0, \"50%\": 33071.0, \"75%\": 33071.0, \"max\": 33071.0}, {\"Year Acquired\": 1880.0, \"count\": 8.0, \"mean\": 22479.125, \"std\": 18584.21640945809, \"min\": 1800.0, \"25%\": 3657.75, \"50%\": 25258.5, \"75%\": 32816.75, \"max\": 54118.0}, {\"Year Acquired\": 1881.0, \"count\": 1.0, \"mean\": 6671.0, \"std\": null, \"min\": 6671.0, \"25%\": 6671.0, \"50%\": 6671.0, \"75%\": 6671.0, \"max\": 6671.0}, {\"Year Acquired\": 1882.0, \"count\": 2.0, \"mean\": 29633.0, \"std\": 16239.414336730251, \"min\": 18150.0, \"25%\": 23891.5, \"50%\": 29633.0, \"75%\": 35374.5, \"max\": 41116.0}, {\"Year Acquired\": 1883.0, \"count\": 2.0, \"mean\": 4362.5, \"std\": 5957.374631496663, \"min\": 150.0, \"25%\": 2256.25, \"50%\": 4362.5, \"75%\": 6468.75, \"max\": 8575.0}, {\"Year Acquired\": 1885.0, \"count\": 4.0, \"mean\": 7539.25, \"std\": 13162.546900834453, \"min\": 184.0, \"25%\": 588.25, \"50%\": 1361.5, \"75%\": 8312.5, \"max\": 27250.0}, {\"Year Acquired\": 1886.0, \"count\": 13.0, \"mean\": 12951.538461538461, \"std\": 13386.600723704933, \"min\": 50.0, \"25%\": 190.0, \"50%\": 9203.0, \"75%\": 18846.0, \"max\": 44800.0}, {\"Year Acquired\": 1887.0, \"count\": 4.0, \"mean\": 48705.75, \"std\": 32875.86620785324, \"min\": 15000.0, \"25%\": 25078.5, \"50%\": 46599.0, \"75%\": 70226.25, \"max\": 86625.0}, {\"Year Acquired\": 1888.0, \"count\": 2.0, \"mean\": 42462.0, \"std\": 19397.353221509373, \"min\": 28746.0, \"25%\": 35604.0, \"50%\": 42462.0, \"75%\": 49320.0, \"max\": 56178.0}, {\"Year Acquired\": 1890.0, \"count\": 7.0, \"mean\": 12333.42857142857, \"std\": 12204.232078219737, \"min\": 300.0, \"25%\": 1050.0, \"50%\": 9600.0, \"75%\": 23462.5, \"max\": 27409.0}, {\"Year Acquired\": 1891.0, \"count\": 1.0, \"mean\": 2325.0, \"std\": null, \"min\": 2325.0, \"25%\": 2325.0, \"50%\": 2325.0, \"75%\": 2325.0, \"max\": 2325.0}, {\"Year Acquired\": 1892.0, \"count\": 3.0, \"mean\": 50493.333333333336, \"std\": 53825.39714050732, \"min\": 4380.0, \"25%\": 20921.0, \"50%\": 37462.0, \"75%\": 73550.0, \"max\": 109638.0}, {\"Year Acquired\": 1893.0, \"count\": 6.0, \"mean\": 6598.333333333333, \"std\": 4939.713217046782, \"min\": 800.0, \"25%\": 2475.0, \"50%\": 6757.5, \"75%\": 10128.75, \"max\": 12975.0}, {\"Year Acquired\": 1894.0, \"count\": 1.0, \"mean\": 85000.0, \"std\": null, \"min\": 85000.0, \"25%\": 85000.0, \"50%\": 85000.0, \"75%\": 85000.0, \"max\": 85000.0}, {\"Year Acquired\": 1895.0, \"count\": 7.0, \"mean\": 32239.571428571428, \"std\": 35308.668821585175, \"min\": 4444.0, \"25%\": 13050.0, \"50%\": 23430.0, \"75%\": 31497.5, \"max\": 108708.0}, {\"Year Acquired\": 1896.0, \"count\": 6.0, \"mean\": 48360.833333333336, \"std\": 32818.91091073356, \"min\": 13401.0, \"25%\": 19152.75, \"50%\": 48302.0, \"75%\": 70368.25, \"max\": 93000.0}, {\"Year Acquired\": 1897.0, \"count\": 1.0, \"mean\": 132907.0, \"std\": null, \"min\": 132907.0, \"25%\": 132907.0, \"50%\": 132907.0, \"75%\": 132907.0, \"max\": 132907.0}, {\"Year Acquired\": 1898.0, \"count\": 2.0, \"mean\": 18380.0, \"std\": 23589.082220383225, \"min\": 1700.0, \"25%\": 10040.0, \"50%\": 18380.0, \"75%\": 26720.0, \"max\": 35060.0}, {\"Year Acquired\": 1899.0, \"count\": 3.0, \"mean\": 40491.666666666664, \"std\": 9595.529914149261, \"min\": 32229.0, \"25%\": 35229.5, \"50%\": 38230.0, \"75%\": 44623.0, \"max\": 51016.0}, {\"Year Acquired\": 1900.0, \"count\": 27.0, \"mean\": 12438.333333333334, \"std\": 24407.48622546275, \"min\": 200.0, \"25%\": 1053.5, \"50%\": 2220.0, \"75%\": 7282.0, \"max\": 107660.0}, {\"Year Acquired\": 1901.0, \"count\": 3.0, \"mean\": 36495.333333333336, \"std\": 44235.87532007628, \"min\": 1450.0, \"25%\": 11643.0, \"50%\": 21836.0, \"75%\": 54018.0, \"max\": 86200.0}, {\"Year Acquired\": 1902.0, \"count\": 8.0, \"mean\": 33715.625, \"std\": 74910.74220113561, \"min\": 82.0, \"25%\": 274.5, \"50%\": 608.5, \"75%\": 15125.0, \"max\": 214000.0}, {\"Year Acquired\": 1903.0, \"count\": 6.0, \"mean\": 26764.0, \"std\": 22442.40435425759, \"min\": 10288.0, \"25%\": 15330.5, \"50%\": 20377.0, \"75%\": 23456.25, \"max\": 71411.0}, {\"Year Acquired\": 1904.0, \"count\": 7.0, \"mean\": 5852.0, \"std\": 5686.738256681065, \"min\": 480.0, \"25%\": 1840.0, \"50%\": 4000.0, \"75%\": 8752.0, \"max\": 15300.0}, {\"Year Acquired\": 1905.0, \"count\": 13.0, \"mean\": 24068.153846153848, \"std\": 38173.902599040426, \"min\": 150.0, \"25%\": 5910.0, \"50%\": 7500.0, \"75%\": 16086.0, \"max\": 132146.0}, {\"Year Acquired\": 1906.0, \"count\": 2.0, \"mean\": 10187.0, \"std\": 5038.842922735338, \"min\": 6624.0, \"25%\": 8405.5, \"50%\": 10187.0, \"75%\": 11968.5, \"max\": 13750.0}, {\"Year Acquired\": 1907.0, \"count\": 9.0, \"mean\": 14809.444444444445, \"std\": 14097.166977012714, \"min\": 2900.0, \"25%\": 5625.0, \"50%\": 9816.0, \"75%\": 15782.0, \"max\": 47656.0}, {\"Year Acquired\": 1908.0, \"count\": 11.0, \"mean\": 32750.18181818182, \"std\": 30984.242959343646, \"min\": 2682.0, \"25%\": 7677.5, \"50%\": 32146.0, \"75%\": 47762.0, \"max\": 102521.0}, {\"Year Acquired\": 1909.0, \"count\": 7.0, \"mean\": 42611.857142857145, \"std\": 46199.134419844464, \"min\": 2175.0, \"25%\": 18149.0, \"50%\": 38680.0, \"75%\": 39424.5, \"max\": 142281.0}, {\"Year Acquired\": 1910.0, \"count\": 22.0, \"mean\": 10518.681818181818, \"std\": 12792.414930382858, \"min\": 150.0, \"25%\": 642.0, \"50%\": 5675.0, \"75%\": 14022.0, \"max\": 45072.0}, {\"Year Acquired\": 1911.0, \"count\": 8.0, \"mean\": 29715.25, \"std\": 56212.93885307901, \"min\": 160.0, \"25%\": 5261.25, \"50%\": 8981.0, \"75%\": 17153.25, \"max\": 166742.0}, {\"Year Acquired\": 1912.0, \"count\": 9.0, \"mean\": 46979.11111111111, \"std\": 31165.397067278172, \"min\": 3464.0, \"25%\": 31683.0, \"50%\": 50408.0, \"75%\": 51944.0, \"max\": 100570.0}, {\"Year Acquired\": 1913.0, \"count\": 17.0, \"mean\": 9335.882352941177, \"std\": 8638.002972926908, \"min\": 1152.0, \"25%\": 5976.0, \"50%\": 5976.0, \"75%\": 6974.0, \"max\": 35415.0}, {\"Year Acquired\": 1914.0, \"count\": 4.0, \"mean\": 83526.5, \"std\": 133998.1448988505, \"min\": 3288.0, \"25%\": 7689.75, \"50%\": 23812.0, \"75%\": 99648.75, \"max\": 283194.0}, {\"Year Acquired\": 1915.0, \"count\": 16.0, \"mean\": 33253.1875, \"std\": 36118.06747546856, \"min\": 3736.0, \"25%\": 13754.5, \"50%\": 22300.5, \"75%\": 33683.0, \"max\": 148780.0}, {\"Year Acquired\": 1916.0, \"count\": 11.0, \"mean\": 19092.090909090908, \"std\": 19720.66584806175, \"min\": 16.0, \"25%\": 2610.0, \"50%\": 17880.0, \"75%\": 28189.5, \"max\": 56120.0}, {\"Year Acquired\": 1917.0, \"count\": 2.0, \"mean\": 16488.0, \"std\": 16393.563615028917, \"min\": 4896.0, \"25%\": 10692.0, \"50%\": 16488.0, \"75%\": 22284.0, \"max\": 28080.0}, {\"Year Acquired\": 1918.0, \"count\": 6.0, \"mean\": 7100.5, \"std\": 5232.420462845087, \"min\": 168.0, \"25%\": 4916.75, \"50%\": 6522.0, \"75%\": 8470.0, \"max\": 15890.0}, {\"Year Acquired\": 1919.0, \"count\": 6.0, \"mean\": 10813.0, \"std\": 9682.2401953267, \"min\": 2100.0, \"25%\": 5588.25, \"50%\": 6017.5, \"75%\": 15196.25, \"max\": 27042.0}, {\"Year Acquired\": 1920.0, \"count\": 38.0, \"mean\": 10580.5, \"std\": 20442.264121640706, \"min\": 100.0, \"25%\": 1575.0, \"50%\": 3282.5, \"75%\": 7585.0, \"max\": 100000.0}, {\"Year Acquired\": 1921.0, \"count\": 18.0, \"mean\": 10417.222222222223, \"std\": 15577.069049824699, \"min\": 168.0, \"25%\": 1806.0, \"50%\": 5527.0, \"75%\": 11241.75, \"max\": 65876.0}, {\"Year Acquired\": 1922.0, \"count\": 10.0, \"mean\": 17159.4, \"std\": 24697.70899046666, \"min\": 288.0, \"25%\": 673.5, \"50%\": 1723.0, \"75%\": 39454.5, \"max\": 55764.0}, {\"Year Acquired\": 1923.0, \"count\": 13.0, \"mean\": 42258.46153846154, \"std\": 116712.13873859006, \"min\": 138.0, \"25%\": 1701.0, \"50%\": 3083.0, \"75%\": 3200.0, \"max\": 420367.0}, {\"Year Acquired\": 1924.0, \"count\": 8.0, \"mean\": 15792.125, \"std\": 13856.473798373092, \"min\": 3200.0, \"25%\": 9447.5, \"50%\": 12879.0, \"75%\": 15391.0, \"max\": 47493.0}, {\"Year Acquired\": 1925.0, \"count\": 13.0, \"mean\": 43784.46153846154, \"std\": 70809.25675905115, \"min\": 25.0, \"25%\": 1800.0, \"50%\": 8296.0, \"75%\": 38988.0, \"max\": 203204.0}, {\"Year Acquired\": 1926.0, \"count\": 17.0, \"mean\": 64058.64705882353, \"std\": 142584.86687624903, \"min\": 108.0, \"25%\": 4635.0, \"50%\": 12624.0, \"75%\": 63440.0, \"max\": 596000.0}, {\"Year Acquired\": 1927.0, \"count\": 18.0, \"mean\": 35424.72222222222, \"std\": 45566.20191197645, \"min\": 693.0, \"25%\": 5218.75, \"50%\": 17263.5, \"75%\": 49970.5, \"max\": 150659.0}, {\"Year Acquired\": 1928.0, \"count\": 30.0, \"mean\": 17604.066666666666, \"std\": 20197.49902908489, \"min\": 48.0, \"25%\": 2271.5, \"50%\": 9359.0, \"75%\": 20854.25, \"max\": 69600.0}, {\"Year Acquired\": 1929.0, \"count\": 37.0, \"mean\": 21414.297297297297, \"std\": 74637.60498638474, \"min\": 10.0, \"25%\": 2500.0, \"50%\": 4386.0, \"75%\": 7900.0, \"max\": 450000.0}, {\"Year Acquired\": 1930.0, \"count\": 101.0, \"mean\": 8335.336633663366, \"std\": 14198.32314062279, \"min\": 50.0, \"25%\": 800.0, \"50%\": 2333.0, \"75%\": 10548.0, \"max\": 73856.0}, {\"Year Acquired\": 1931.0, \"count\": 29.0, \"mean\": 35125.1724137931, \"std\": 71166.494532223, \"min\": 388.0, \"25%\": 1950.0, \"50%\": 3025.0, \"75%\": 15220.0, \"max\": 299772.0}, {\"Year Acquired\": 1932.0, \"count\": 60.0, \"mean\": 6901.216666666666, \"std\": 16106.379981386322, \"min\": 25.0, \"25%\": 325.0, \"50%\": 1060.0, \"75%\": 5418.0, \"max\": 90200.0}, {\"Year Acquired\": 1933.0, \"count\": 9.0, \"mean\": 7662.555555555556, \"std\": 8360.394026466563, \"min\": 300.0, \"25%\": 2581.0, \"50%\": 3240.0, \"75%\": 12000.0, \"max\": 26110.0}, {\"Year Acquired\": 1934.0, \"count\": 13.0, \"mean\": 13542.23076923077, \"std\": 20302.343748747524, \"min\": 282.0, \"25%\": 282.0, \"50%\": 1155.0, \"75%\": 12473.0, \"max\": 58305.0}, {\"Year Acquired\": 1935.0, \"count\": 214.0, \"mean\": 3236.121495327103, \"std\": 11348.703456140016, \"min\": 30.0, \"25%\": 228.0, \"50%\": 239.0, \"75%\": 800.0, \"max\": 80000.0}, {\"Year Acquired\": 1936.0, \"count\": 60.0, \"mean\": 11056.666666666666, \"std\": 14641.102723898613, \"min\": 70.0, \"25%\": 900.0, \"50%\": 5437.0, \"75%\": 16126.75, \"max\": 76228.0}, {\"Year Acquired\": 1937.0, \"count\": 52.0, \"mean\": 17813.384615384617, \"std\": 35813.398188526524, \"min\": 130.0, \"25%\": 2004.75, \"50%\": 12414.0, \"75%\": 17836.5, \"max\": 254636.0}, {\"Year Acquired\": 1938.0, \"count\": 32.0, \"mean\": 34791.28125, \"std\": 42049.79960769586, \"min\": 48.0, \"25%\": 2503.25, \"50%\": 26928.5, \"75%\": 33219.75, \"max\": 134450.0}, {\"Year Acquired\": 1939.0, \"count\": 30.0, \"mean\": 11719.1, \"std\": 21553.732876712787, \"min\": 224.0, \"25%\": 1898.25, \"50%\": 3816.5, \"75%\": 10883.5, \"max\": 109393.0}, {\"Year Acquired\": 1940.0, \"count\": 67.0, \"mean\": 19286.567164179105, \"std\": 52759.11072613758, \"min\": 30.0, \"25%\": 795.0, \"50%\": 2656.0, \"75%\": 13242.0, \"max\": 341100.0}, {\"Year Acquired\": 1941.0, \"count\": 27.0, \"mean\": 12807.777777777777, \"std\": 20989.624296365193, \"min\": 100.0, \"25%\": 1475.5, \"50%\": 4000.0, \"75%\": 12810.0, \"max\": 88973.0}, {\"Year Acquired\": 1942.0, \"count\": 25.0, \"mean\": 9722.8, \"std\": 18649.573008963678, \"min\": 122.0, \"25%\": 432.0, \"50%\": 2182.0, \"75%\": 7609.0, \"max\": 71274.0}, {\"Year Acquired\": 1943.0, \"count\": 9.0, \"mean\": 6402.0, \"std\": 7343.639986410009, \"min\": 363.0, \"25%\": 876.0, \"50%\": 1633.0, \"75%\": 11034.0, \"max\": 18626.0}, {\"Year Acquired\": 1944.0, \"count\": 10.0, \"mean\": 4460.2, \"std\": 5603.509947642935, \"min\": 224.0, \"25%\": 660.75, \"50%\": 3260.5, \"75%\": 4830.0, \"max\": 18826.0}, {\"Year Acquired\": 1945.0, \"count\": 20.0, \"mean\": 9503.95, \"std\": 23119.28846445391, \"min\": 27.0, \"25%\": 937.0, \"50%\": 1707.0, \"75%\": 3299.5, \"max\": 96404.0}, {\"Year Acquired\": 1946.0, \"count\": 8.0, \"mean\": 7350.0, \"std\": 15332.06515770136, \"min\": 270.0, \"25%\": 925.5, \"50%\": 1650.0, \"75%\": 3400.5, \"max\": 45000.0}, {\"Year Acquired\": 1947.0, \"count\": 20.0, \"mean\": 8236.5, \"std\": 14075.313893854243, \"min\": 50.0, \"25%\": 525.75, \"50%\": 3080.5, \"75%\": 5557.5, \"max\": 49185.0}, {\"Year Acquired\": 1948.0, \"count\": 54.0, \"mean\": 7007.537037037037, \"std\": 9656.249597595084, \"min\": 100.0, \"25%\": 863.25, \"50%\": 3205.0, \"75%\": 7376.0, \"max\": 38305.0}, {\"Year Acquired\": 1949.0, \"count\": 40.0, \"mean\": 22588.95, \"std\": 40756.41390766391, \"min\": 80.0, \"25%\": 1771.0, \"50%\": 7670.5, \"75%\": 17077.5, \"max\": 185214.0}, {\"Year Acquired\": 1950.0, \"count\": 175.0, \"mean\": 6808.171428571429, \"std\": 23767.581492790137, \"min\": 12.0, \"25%\": 309.0, \"50%\": 1374.0, \"75%\": 4575.0, \"max\": 260237.0}, {\"Year Acquired\": 1951.0, \"count\": 38.0, \"mean\": 15408.763157894737, \"std\": 32213.845755323822, \"min\": 145.0, \"25%\": 555.0, \"50%\": 2227.5, \"75%\": 8750.25, \"max\": 155636.0}, {\"Year Acquired\": 1952.0, \"count\": 44.0, \"mean\": 26227.0, \"std\": 50095.752137142794, \"min\": 25.0, \"25%\": 1578.75, \"50%\": 9290.5, \"75%\": 27378.25, \"max\": 280139.0}, {\"Year Acquired\": 1953.0, \"count\": 65.0, \"mean\": 7561.476923076923, \"std\": 24018.615784238384, \"min\": 120.0, \"25%\": 280.0, \"50%\": 1618.0, \"75%\": 3711.0, \"max\": 164939.0}, {\"Year Acquired\": 1954.0, \"count\": 73.0, \"mean\": 10464.82191780822, \"std\": 31190.46451389986, \"min\": 40.0, \"25%\": 576.0, \"50%\": 892.0, \"75%\": 4900.0, \"max\": 243593.0}, {\"Year Acquired\": 1955.0, \"count\": 65.0, \"mean\": 12526.476923076923, \"std\": 57663.39538056934, \"min\": 20.0, \"25%\": 350.0, \"50%\": 1469.0, \"75%\": 5220.0, \"max\": 452523.0}, {\"Year Acquired\": 1956.0, \"count\": 54.0, \"mean\": 21482.12962962963, \"std\": 54267.8608817502, \"min\": 132.0, \"25%\": 2382.0, \"50%\": 4423.0, \"75%\": 13901.75, \"max\": 331541.0}, {\"Year Acquired\": 1957.0, \"count\": 56.0, \"mean\": 16544.303571428572, \"std\": 26266.414561647933, \"min\": 40.0, \"25%\": 883.5, \"50%\": 5928.0, \"75%\": 20059.5, \"max\": 119500.0}, {\"Year Acquired\": 1958.0, \"count\": 92.0, \"mean\": 10273.108695652174, \"std\": 25633.219600490233, \"min\": 12.0, \"25%\": 560.0, \"50%\": 2400.0, \"75%\": 8043.0, \"max\": 190977.0}, {\"Year Acquired\": 1959.0, \"count\": 63.0, \"mean\": 23393.539682539682, \"std\": 54551.838832383706, \"min\": 20.0, \"25%\": 2442.0, \"50%\": 6000.0, \"75%\": 16933.5, \"max\": 344652.0}, {\"Year Acquired\": 1960.0, \"count\": 141.0, \"mean\": 6770.992907801418, \"std\": 30578.953011016405, \"min\": 9.0, \"25%\": 288.0, \"50%\": 984.0, \"75%\": 2912.0, \"max\": 323525.0}, {\"Year Acquired\": 1961.0, \"count\": 51.0, \"mean\": 16320.313725490196, \"std\": 33994.95869771881, \"min\": 25.0, \"25%\": 727.5, \"50%\": 2800.0, \"75%\": 8354.0, \"max\": 183750.0}, {\"Year Acquired\": 1962.0, \"count\": 72.0, \"mean\": 17826.76388888889, \"std\": 40203.09748997628, \"min\": 12.0, \"25%\": 1279.5, \"50%\": 3239.5, \"75%\": 12446.5, \"max\": 252320.0}, {\"Year Acquired\": 1963.0, \"count\": 113.0, \"mean\": 21474.672566371682, \"std\": 50204.632323344296, \"min\": 12.0, \"25%\": 1512.0, \"50%\": 3804.0, \"75%\": 19000.0, \"max\": 335918.0}, {\"Year Acquired\": 1964.0, \"count\": 130.0, \"mean\": 19322.992307692308, \"std\": 36597.21245399766, \"min\": 20.0, \"25%\": 600.0, \"50%\": 2632.0, \"75%\": 17667.0, \"max\": 185880.0}, {\"Year Acquired\": 1965.0, \"count\": 173.0, \"mean\": 24489.323699421966, \"std\": 53535.174160169925, \"min\": 20.0, \"25%\": 1456.0, \"50%\": 4200.0, \"75%\": 23120.0, \"max\": 460546.0}, {\"Year Acquired\": 1966.0, \"count\": 77.0, \"mean\": 28220.12987012987, \"std\": 45177.83189252476, \"min\": 16.0, \"25%\": 2048.0, \"50%\": 5863.0, \"75%\": 36075.0, \"max\": 224843.0}, {\"Year Acquired\": 1967.0, \"count\": 117.0, \"mean\": 20335.1452991453, \"std\": 34592.454321781915, \"min\": 12.0, \"25%\": 1800.0, \"50%\": 8349.0, \"75%\": 18490.0, \"max\": 228083.0}, {\"Year Acquired\": 1968.0, \"count\": 123.0, \"mean\": 13546.325203252032, \"std\": 40273.1453669295, \"min\": 20.0, \"25%\": 955.0, \"50%\": 2400.0, \"75%\": 7196.0, \"max\": 277091.0}, {\"Year Acquired\": 1969.0, \"count\": 62.0, \"mean\": 35578.596774193546, \"std\": 82299.22748725335, \"min\": 25.0, \"25%\": 589.5, \"50%\": 4456.0, \"75%\": 13613.75, \"max\": 456722.0}, {\"Year Acquired\": 1970.0, \"count\": 216.0, \"mean\": 9183.99537037037, \"std\": 28057.240951477765, \"min\": 18.0, \"25%\": 240.0, \"50%\": 889.0, \"75%\": 4380.5, \"max\": 226525.0}, {\"Year Acquired\": 1971.0, \"count\": 109.0, \"mean\": 23629.577981651375, \"std\": 58685.71346703613, \"min\": 124.0, \"25%\": 1437.0, \"50%\": 5760.0, \"75%\": 20303.0, \"max\": 500000.0}, {\"Year Acquired\": 1972.0, \"count\": 121.0, \"mean\": 15613.01652892562, \"std\": 48993.93354997867, \"min\": 16.0, \"25%\": 144.0, \"50%\": 1280.0, \"75%\": 5353.0, \"max\": 347981.0}, {\"Year Acquired\": 1973.0, \"count\": 125.0, \"mean\": 9745.432, \"std\": 26849.922143617525, \"min\": 24.0, \"25%\": 1800.0, \"50%\": 2920.0, \"75%\": 3040.0, \"max\": 185458.0}, {\"Year Acquired\": 1974.0, \"count\": 192.0, \"mean\": 4999.770833333333, \"std\": 22745.999592577424, \"min\": 16.0, \"25%\": 36.0, \"50%\": 1680.0, \"75%\": 2800.0, \"max\": 277831.0}, {\"Year Acquired\": 1975.0, \"count\": 238.0, \"mean\": 5861.399159663865, \"std\": 16332.917613982725, \"min\": 16.0, \"25%\": 640.0, \"50%\": 2729.5, \"75%\": 3750.0, \"max\": 160305.0}, {\"Year Acquired\": 1976.0, \"count\": 139.0, \"mean\": 10166.84892086331, \"std\": 37905.41062711686, \"min\": 16.0, \"25%\": 200.0, \"50%\": 1120.0, \"75%\": 3600.0, \"max\": 298474.0}, {\"Year Acquired\": 1977.0, \"count\": 98.0, \"mean\": 12004.65306122449, \"std\": 75215.12199048368, \"min\": 18.0, \"25%\": 42.0, \"50%\": 349.5, \"75%\": 1734.0, \"max\": 671416.0}, {\"Year Acquired\": 1978.0, \"count\": 79.0, \"mean\": 12148.658227848102, \"std\": 30707.55389021007, \"min\": 48.0, \"25%\": 534.0, \"50%\": 1440.0, \"75%\": 6804.0, \"max\": 144534.0}, {\"Year Acquired\": 1979.0, \"count\": 116.0, \"mean\": 3286.043103448276, \"std\": 9702.435457941334, \"min\": 12.0, \"25%\": 150.0, \"50%\": 460.5, \"75%\": 2220.0, \"max\": 70995.0}, {\"Year Acquired\": 1980.0, \"count\": 136.0, \"mean\": 3040.25, \"std\": 9626.164334192976, \"min\": 12.0, \"25%\": 120.0, \"50%\": 310.0, \"75%\": 1800.0, \"max\": 82247.0}, {\"Year Acquired\": 1981.0, \"count\": 175.0, \"mean\": 10051.891428571429, \"std\": 26853.691353624563, \"min\": 20.0, \"25%\": 432.0, \"50%\": 3450.0, \"75%\": 8895.0, \"max\": 216283.0}, {\"Year Acquired\": 1982.0, \"count\": 80.0, \"mean\": 10162.3875, \"std\": 34968.08857037605, \"min\": 20.0, \"25%\": 400.0, \"50%\": 1000.0, \"75%\": 4364.0, \"max\": 258516.0}, {\"Year Acquired\": 1983.0, \"count\": 56.0, \"mean\": 12152.964285714286, \"std\": 26712.921492970592, \"min\": 25.0, \"25%\": 234.0, \"50%\": 900.0, \"75%\": 12147.0, \"max\": 147000.0}, {\"Year Acquired\": 1984.0, \"count\": 137.0, \"mean\": 14252.21897810219, \"std\": 78602.29920130267, \"min\": 18.0, \"25%\": 192.0, \"50%\": 1100.0, \"75%\": 10160.0, \"max\": 913236.0}, {\"Year Acquired\": 1985.0, \"count\": 147.0, \"mean\": 13685.251700680272, \"std\": 99310.80973863353, \"min\": 20.0, \"25%\": 240.0, \"50%\": 805.0, \"75%\": 4350.0, \"max\": 1200000.0}, {\"Year Acquired\": 1986.0, \"count\": 169.0, \"mean\": 5693.7692307692305, \"std\": 14956.371277342447, \"min\": 12.0, \"25%\": 190.0, \"50%\": 896.0, \"75%\": 3000.0, \"max\": 101614.0}, {\"Year Acquired\": 1987.0, \"count\": 159.0, \"mean\": 8526.4213836478, \"std\": 31069.05988367671, \"min\": 18.0, \"25%\": 104.0, \"50%\": 1128.0, \"75%\": 4774.0, \"max\": 344228.0}, {\"Year Acquired\": 1988.0, \"count\": 135.0, \"mean\": 3601.651851851852, \"std\": 8764.455069282427, \"min\": 18.0, \"25%\": 220.0, \"50%\": 900.0, \"75%\": 3156.0, \"max\": 75000.0}, {\"Year Acquired\": 1989.0, \"count\": 192.0, \"mean\": 11383.854166666666, \"std\": 36610.12461855261, \"min\": 16.0, \"25%\": 144.0, \"50%\": 1584.5, \"75%\": 5334.0, \"max\": 443865.0}, {\"Year Acquired\": 1990.0, \"count\": 182.0, \"mean\": 12137.626373626374, \"std\": 30761.23202299185, \"min\": 36.0, \"25%\": 183.5, \"50%\": 1810.0, \"75%\": 13194.0, \"max\": 226062.0}, {\"Year Acquired\": 1991.0, \"count\": 99.0, \"mean\": 16705.52525252525, \"std\": 81556.1192773322, \"min\": 18.0, \"25%\": 544.0, \"50%\": 1728.0, \"75%\": 5139.0, \"max\": 779732.0}, {\"Year Acquired\": 1992.0, \"count\": 110.0, \"mean\": 8187.363636363636, \"std\": 18316.35315337178, \"min\": 20.0, \"25%\": 360.0, \"50%\": 1818.0, \"75%\": 4710.0, \"max\": 119735.0}, {\"Year Acquired\": 1993.0, \"count\": 91.0, \"mean\": 3868.1098901098903, \"std\": 7280.909893459668, \"min\": 18.0, \"25%\": 90.0, \"50%\": 1050.0, \"75%\": 4223.0, \"max\": 40000.0}, {\"Year Acquired\": 1994.0, \"count\": 107.0, \"mean\": 4071.5607476635514, \"std\": 8359.039006761357, \"min\": 36.0, \"25%\": 560.0, \"50%\": 1568.0, \"75%\": 3936.0, \"max\": 49275.0}, {\"Year Acquired\": 1995.0, \"count\": 122.0, \"mean\": 7191.770491803279, \"std\": 17967.955431633607, \"min\": 64.0, \"25%\": 309.0, \"50%\": 1920.0, \"75%\": 4815.0, \"max\": 119700.0}, {\"Year Acquired\": 1996.0, \"count\": 137.0, \"mean\": 9865.627737226278, \"std\": 33201.52837995283, \"min\": 20.0, \"25%\": 144.0, \"50%\": 1176.0, \"75%\": 4032.0, \"max\": 242165.0}, {\"Year Acquired\": 1997.0, \"count\": 108.0, \"mean\": 10283.925925925925, \"std\": 22768.56624831277, \"min\": 24.0, \"25%\": 224.75, \"50%\": 1825.0, \"75%\": 4652.25, \"max\": 125000.0}, {\"Year Acquired\": 1998.0, \"count\": 124.0, \"mean\": 5898.3387096774195, \"std\": 14060.043460529749, \"min\": 25.0, \"25%\": 286.0, \"50%\": 847.5, \"75%\": 4299.0, \"max\": 116030.0}, {\"Year Acquired\": 1999.0, \"count\": 151.0, \"mean\": 2413.3576158940396, \"std\": 5231.4449824681915, \"min\": 30.0, \"25%\": 144.0, \"50%\": 384.0, \"75%\": 2104.0, \"max\": 45000.0}, {\"Year Acquired\": 2000.0, \"count\": 357.0, \"mean\": 3498.002801120448, \"std\": 11276.816349499064, \"min\": 24.0, \"25%\": 144.0, \"50%\": 234.0, \"75%\": 1584.0, \"max\": 131835.0}, {\"Year Acquired\": 2001.0, \"count\": 168.0, \"mean\": 7916.392857142857, \"std\": 29596.44608359036, \"min\": 64.0, \"25%\": 144.0, \"50%\": 313.0, \"75%\": 2401.5, \"max\": 307288.0}, {\"Year Acquired\": 2002.0, \"count\": 116.0, \"mean\": 8931.98275862069, \"std\": 20494.191820667347, \"min\": 80.0, \"25%\": 332.0, \"50%\": 1300.0, \"75%\": 6300.0, \"max\": 140000.0}, {\"Year Acquired\": 2003.0, \"count\": 104.0, \"mean\": 10015.663461538461, \"std\": 37322.69734282202, \"min\": 20.0, \"25%\": 144.0, \"50%\": 180.0, \"75%\": 2456.0, \"max\": 318437.0}, {\"Year Acquired\": 2004.0, \"count\": 79.0, \"mean\": 7281.658227848101, \"std\": 24762.442250873573, \"min\": 70.0, \"25%\": 144.0, \"50%\": 144.0, \"75%\": 4052.5, \"max\": 155174.0}, {\"Year Acquired\": 2005.0, \"count\": 75.0, \"mean\": 19925.48, \"std\": 56811.500047123605, \"min\": 60.0, \"25%\": 144.0, \"50%\": 288.0, \"75%\": 3036.0, \"max\": 335247.0}, {\"Year Acquired\": 2006.0, \"count\": 193.0, \"mean\": 3221.295336787565, \"std\": 16471.966229616104, \"min\": 36.0, \"25%\": 75.0, \"50%\": 75.0, \"75%\": 700.0, \"max\": 180000.0}, {\"Year Acquired\": 2007.0, \"count\": 42.0, \"mean\": 23703.0, \"std\": 47710.47411310813, \"min\": 20.0, \"25%\": 501.75, \"50%\": 2460.0, \"75%\": 10833.0, \"max\": 202759.0}, {\"Year Acquired\": 2008.0, \"count\": 11.0, \"mean\": 14565.727272727272, \"std\": 43181.082883806666, \"min\": 93.0, \"25%\": 147.0, \"50%\": 700.0, \"75%\": 2437.5, \"max\": 144580.0}, {\"Year Acquired\": 2009.0, \"count\": 20.0, \"mean\": 12986.2, \"std\": 25445.14786462503, \"min\": 20.0, \"25%\": 466.5, \"50%\": 2109.5, \"75%\": 9186.5, \"max\": 96000.0}, {\"Year Acquired\": 2010.0, \"count\": 22.0, \"mean\": 17214.772727272728, \"std\": 34147.04657511438, \"min\": 24.0, \"25%\": 495.0, \"50%\": 4000.0, \"75%\": 10937.75, \"max\": 148183.0}, {\"Year Acquired\": 2011.0, \"count\": 23.0, \"mean\": 6650.130434782609, \"std\": 15220.376605973586, \"min\": 24.0, \"25%\": 144.0, \"50%\": 1386.0, \"75%\": 4036.0, \"max\": 64000.0}, {\"Year Acquired\": 2012.0, \"count\": 23.0, \"mean\": 10874.478260869566, \"std\": 29866.02269967049, \"min\": 100.0, \"25%\": 850.0, \"50%\": 2464.0, \"75%\": 4670.0, \"max\": 136000.0}, {\"Year Acquired\": 2013.0, \"count\": 8.0, \"mean\": 48935.625, \"std\": 84820.0285713185, \"min\": 144.0, \"25%\": 144.0, \"50%\": 2673.0, \"75%\": 54398.5, \"max\": 230665.0}, {\"Year Acquired\": 2014.0, \"count\": 33.0, \"mean\": 20130.242424242424, \"std\": 25152.687037161533, \"min\": 10.0, \"25%\": 3200.0, \"50%\": 13387.0, \"75%\": 23040.0, \"max\": 94830.0}, {\"Year Acquired\": 2015.0, \"count\": 20.0, \"mean\": 15254.65, \"std\": 29153.08528996004, \"min\": 144.0, \"25%\": 696.0, \"50%\": 3152.0, \"75%\": 10590.25, \"max\": 105000.0}, {\"Year Acquired\": 2016.0, \"count\": 10.0, \"mean\": 30483.9, \"std\": 61864.18049144252, \"min\": 1152.0, \"25%\": 2464.0, \"50%\": 3352.5, \"75%\": 3793.0, \"max\": 184000.0}, {\"Year Acquired\": 2017.0, \"count\": 1.0, \"mean\": 6720.0, \"std\": null, \"min\": 6720.0, \"25%\": 6720.0, \"50%\": 6720.0, \"75%\": 6720.0, \"max\": 6720.0}, {\"Year Acquired\": 2018.0, \"count\": 4.0, \"mean\": 4290.0, \"std\": 5153.644341628553, \"min\": 1455.0, \"25%\": 1455.0, \"50%\": 1852.5, \"75%\": 4687.5, \"max\": 12000.0}, {\"Year Acquired\": 2019.0, \"count\": 2.0, \"mean\": 760.0, \"std\": 0.0, \"min\": 760.0, \"25%\": 760.0, \"50%\": 760.0, \"75%\": 760.0, \"max\": 760.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lines = alt.Chart(stats.reset_index()).mark_line().encode(\n",
    "    alt.X(\"Year Acquired:T\"),\n",
    "    alt.Y(\"max:Q\")\n",
    ").properties(\n",
    "    width=800\n",
    ")\n",
    "lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "88240b79",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
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       "    <tr>\n",
       "      <th>Year Acquired</th>\n",
       "      <th></th>\n",
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       "      <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>1753.0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>1200.00</td>\n",
       "      <td>1200.0</td>\n",
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       "    <tr>\n",
       "      <th>1802.0</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2220.000000</td>\n",
       "      <td>1943.129435</td>\n",
       "      <td>846.0</td>\n",
       "      <td>1533.0</td>\n",
       "      <td>2220.0</td>\n",
       "      <td>2907.00</td>\n",
       "      <td>3594.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1810.0</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1344.333333</td>\n",
       "      <td>1809.945948</td>\n",
       "      <td>216.0</td>\n",
       "      <td>300.5</td>\n",
       "      <td>385.0</td>\n",
       "      <td>1908.50</td>\n",
       "      <td>3432.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1832.0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>120000.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>120000.00</td>\n",
       "      <td>120000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1837.0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>10302.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10302.0</td>\n",
       "      <td>10302.0</td>\n",
       "      <td>10302.0</td>\n",
       "      <td>10302.00</td>\n",
       "      <td>10302.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2015.0</th>\n",
       "      <td>20.0</td>\n",
       "      <td>15254.650000</td>\n",
       "      <td>29153.085290</td>\n",
       "      <td>144.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>3152.0</td>\n",
       "      <td>10590.25</td>\n",
       "      <td>105000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016.0</th>\n",
       "      <td>10.0</td>\n",
       "      <td>30483.900000</td>\n",
       "      <td>61864.180491</td>\n",
       "      <td>1152.0</td>\n",
       "      <td>2464.0</td>\n",
       "      <td>3352.5</td>\n",
       "      <td>3793.00</td>\n",
       "      <td>184000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017.0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>6720.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6720.0</td>\n",
       "      <td>6720.0</td>\n",
       "      <td>6720.0</td>\n",
       "      <td>6720.00</td>\n",
       "      <td>6720.0</td>\n",
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       "    <tr>\n",
       "      <th>2018.0</th>\n",
       "      <td>4.0</td>\n",
       "      <td>4290.000000</td>\n",
       "      <td>5153.644342</td>\n",
       "      <td>1455.0</td>\n",
       "      <td>1455.0</td>\n",
       "      <td>1852.5</td>\n",
       "      <td>4687.50</td>\n",
       "      <td>12000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019.0</th>\n",
       "      <td>2.0</td>\n",
       "      <td>760.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>760.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>760.00</td>\n",
       "      <td>760.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>171 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               count           mean           std       min       25%  \\\n",
       "Year Acquired                                                           \n",
       "1753.0           1.0    1200.000000           NaN    1200.0    1200.0   \n",
       "1802.0           2.0    2220.000000   1943.129435     846.0    1533.0   \n",
       "1810.0           3.0    1344.333333   1809.945948     216.0     300.5   \n",
       "1832.0           1.0  120000.000000           NaN  120000.0  120000.0   \n",
       "1837.0           1.0   10302.000000           NaN   10302.0   10302.0   \n",
       "...              ...            ...           ...       ...       ...   \n",
       "2015.0          20.0   15254.650000  29153.085290     144.0     696.0   \n",
       "2016.0          10.0   30483.900000  61864.180491    1152.0    2464.0   \n",
       "2017.0           1.0    6720.000000           NaN    6720.0    6720.0   \n",
       "2018.0           4.0    4290.000000   5153.644342    1455.0    1455.0   \n",
       "2019.0           2.0     760.000000      0.000000     760.0     760.0   \n",
       "\n",
       "                    50%        75%       max  \n",
       "Year Acquired                                 \n",
       "1753.0           1200.0    1200.00    1200.0  \n",
       "1802.0           2220.0    2907.00    3594.0  \n",
       "1810.0            385.0    1908.50    3432.0  \n",
       "1832.0         120000.0  120000.00  120000.0  \n",
       "1837.0          10302.0   10302.00   10302.0  \n",
       "...                 ...        ...       ...  \n",
       "2015.0           3152.0   10590.25  105000.0  \n",
       "2016.0           3352.5    3793.00  184000.0  \n",
       "2017.0           6720.0    6720.00    6720.0  \n",
       "2018.0           1852.5    4687.50   12000.0  \n",
       "2019.0            760.0     760.00     760.0  \n",
       "\n",
       "[171 rows x 8 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9a976798",
   "metadata": {},
   "outputs": [],
   "source": [
    "stats.index = pd.to_datetime(stats.index.astype('int'), format='%Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "c8112b99",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Location Name</th>\n",
       "      <th>Address</th>\n",
       "      <th>City</th>\n",
       "      <th>Zip code</th>\n",
       "      <th>County</th>\n",
       "      <th>Congress Dist</th>\n",
       "      <th>Congressional Full Name</th>\n",
       "      <th>Rep Dist</th>\n",
       "      <th>Rep Full Name</th>\n",
       "      <th>...</th>\n",
       "      <th>Bldg Status</th>\n",
       "      <th>Year Acquired</th>\n",
       "      <th>Year Constructed</th>\n",
       "      <th>Square Footage</th>\n",
       "      <th>Total Floors</th>\n",
       "      <th>Floors Above Grade</th>\n",
       "      <th>Floors Below Grade</th>\n",
       "      <th>Usage Description</th>\n",
       "      <th>Usage Description 2</th>\n",
       "      <th>Usage Description 3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Department of Natural Resources</td>\n",
       "      <td>Anderson Lake Conservation Area - Fulton County</td>\n",
       "      <td>Anderson Lake C.a.</td>\n",
       "      <td>Astoria</td>\n",
       "      <td>61501</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>17</td>\n",
       "      <td>Cheri Bustos</td>\n",
       "      <td>93</td>\n",
       "      <td>Hammond Norine K.</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>1975.0</td>\n",
       "      <td>1975</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Not provided</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Department of Natural Resources</td>\n",
       "      <td>Anderson Lake Conservation Area - Fulton County</td>\n",
       "      <td>Anderson Lake C.a.</td>\n",
       "      <td>Astoria</td>\n",
       "      <td>61501</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>17</td>\n",
       "      <td>Cheri Bustos</td>\n",
       "      <td>93</td>\n",
       "      <td>Hammond Norine K.</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Not provided</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Department of Natural Resources</td>\n",
       "      <td>Anderson Lake Conservation Area - Fulton County</td>\n",
       "      <td>Anderson Lake C.a.</td>\n",
       "      <td>Astoria</td>\n",
       "      <td>61501</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>17</td>\n",
       "      <td>Cheri Bustos</td>\n",
       "      <td>93</td>\n",
       "      <td>Hammond Norine K.</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Not provided</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Department of Natural Resources</td>\n",
       "      <td>Anderson Lake Conservation Area - Fulton County</td>\n",
       "      <td>Anderson Lake C.a.</td>\n",
       "      <td>Astoria</td>\n",
       "      <td>61501</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>17</td>\n",
       "      <td>Cheri Bustos</td>\n",
       "      <td>93</td>\n",
       "      <td>Hammond Norine K.</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Not provided</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Department of Natural Resources</td>\n",
       "      <td>Anderson Lake Conservation Area - Fulton County</td>\n",
       "      <td>Anderson Lake C.a.</td>\n",
       "      <td>Astoria</td>\n",
       "      <td>61501</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>17</td>\n",
       "      <td>Cheri Bustos</td>\n",
       "      <td>93</td>\n",
       "      <td>Hammond Norine K.</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Unusual</td>\n",
       "      <td>Not provided</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8857</th>\n",
       "      <td>Department of Transportation</td>\n",
       "      <td>Belvidere Maintenance Storage Facility - Boone...</td>\n",
       "      <td>9797 Illinois Rte. 76</td>\n",
       "      <td>Belvidere</td>\n",
       "      <td>61008</td>\n",
       "      <td>Boone</td>\n",
       "      <td>16</td>\n",
       "      <td>Adam Kinzinger</td>\n",
       "      <td>69</td>\n",
       "      <td>Sosnowski Joe</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>432</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Storage</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8858</th>\n",
       "      <td>Department of Transportation</td>\n",
       "      <td>Belvidere Maintenance Storage Facility - Boone...</td>\n",
       "      <td>9797 Illinois Rte 76</td>\n",
       "      <td>Belvidere</td>\n",
       "      <td>61008</td>\n",
       "      <td>Boone</td>\n",
       "      <td>16</td>\n",
       "      <td>Adam Kinzinger</td>\n",
       "      <td>69</td>\n",
       "      <td>Sosnowski Joe</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>330</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Storage</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8859</th>\n",
       "      <td>Department of Transportation</td>\n",
       "      <td>Quincy Maintenance Storage Facility</td>\n",
       "      <td>800 Koch's Lane</td>\n",
       "      <td>Quincy</td>\n",
       "      <td>62305</td>\n",
       "      <td>Adams</td>\n",
       "      <td>18</td>\n",
       "      <td>Darin M. LaHood</td>\n",
       "      <td>94</td>\n",
       "      <td>Frese Randy E.</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1987</td>\n",
       "      <td>130</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Storage</td>\n",
       "      <td>High Hazard</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8860</th>\n",
       "      <td>Illinois Community College Board</td>\n",
       "      <td>Illinois Valley Community College - Oglesby</td>\n",
       "      <td>815 North Orlando Smith Avenue</td>\n",
       "      <td>Oglesby</td>\n",
       "      <td>61348</td>\n",
       "      <td>LaSalle</td>\n",
       "      <td>16</td>\n",
       "      <td>Adam Kinzinger</td>\n",
       "      <td>76</td>\n",
       "      <td>Long Jerry Lee</td>\n",
       "      <td>...</td>\n",
       "      <td>In Use</td>\n",
       "      <td>1971.0</td>\n",
       "      <td>1971</td>\n",
       "      <td>49552</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Education</td>\n",
       "      <td>Education</td>\n",
       "      <td>Not provided</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8861</th>\n",
       "      <td>Department of Military Affairs</td>\n",
       "      <td>Peoria Army Aviation Support Facility</td>\n",
       "      <td>2323 S. Airport Rd</td>\n",
       "      <td>Peoria</td>\n",
       "      <td>61607</td>\n",
       "      <td>Peoria</td>\n",
       "      <td>17</td>\n",
       "      <td>Cheri Bustos</td>\n",
       "      <td>92</td>\n",
       "      <td>Gordon-Booth Jehan</td>\n",
       "      <td>...</td>\n",
       "      <td>In Progress</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017</td>\n",
       "      <td>288</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Utiility &amp; Miscellan</td>\n",
       "      <td>Utiility &amp; Miscellan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8862 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Agency Name  \\\n",
       "0      Department of Natural Resources   \n",
       "1      Department of Natural Resources   \n",
       "2      Department of Natural Resources   \n",
       "3      Department of Natural Resources   \n",
       "4      Department of Natural Resources   \n",
       "...                                ...   \n",
       "8857      Department of Transportation   \n",
       "8858      Department of Transportation   \n",
       "8859      Department of Transportation   \n",
       "8860  Illinois Community College Board   \n",
       "8861    Department of Military Affairs   \n",
       "\n",
       "                                          Location Name  \\\n",
       "0       Anderson Lake Conservation Area - Fulton County   \n",
       "1       Anderson Lake Conservation Area - Fulton County   \n",
       "2       Anderson Lake Conservation Area - Fulton County   \n",
       "3       Anderson Lake Conservation Area - Fulton County   \n",
       "4       Anderson Lake Conservation Area - Fulton County   \n",
       "...                                                 ...   \n",
       "8857  Belvidere Maintenance Storage Facility - Boone...   \n",
       "8858  Belvidere Maintenance Storage Facility - Boone...   \n",
       "8859                Quincy Maintenance Storage Facility   \n",
       "8860        Illinois Valley Community College - Oglesby   \n",
       "8861              Peoria Army Aviation Support Facility   \n",
       "\n",
       "                             Address       City  Zip code   County  \\\n",
       "0                 Anderson Lake C.a.    Astoria     61501   Fulton   \n",
       "1                 Anderson Lake C.a.    Astoria     61501   Fulton   \n",
       "2                 Anderson Lake C.a.    Astoria     61501   Fulton   \n",
       "3                 Anderson Lake C.a.    Astoria     61501   Fulton   \n",
       "4                 Anderson Lake C.a.    Astoria     61501   Fulton   \n",
       "...                              ...        ...       ...      ...   \n",
       "8857           9797 Illinois Rte. 76  Belvidere     61008    Boone   \n",
       "8858            9797 Illinois Rte 76  Belvidere     61008    Boone   \n",
       "8859                 800 Koch's Lane     Quincy     62305    Adams   \n",
       "8860  815 North Orlando Smith Avenue    Oglesby     61348  LaSalle   \n",
       "8861              2323 S. Airport Rd     Peoria     61607   Peoria   \n",
       "\n",
       "      Congress Dist Congressional Full Name  Rep Dist       Rep Full Name  \\\n",
       "0                17            Cheri Bustos        93   Hammond Norine K.   \n",
       "1                17            Cheri Bustos        93   Hammond Norine K.   \n",
       "2                17            Cheri Bustos        93   Hammond Norine K.   \n",
       "3                17            Cheri Bustos        93   Hammond Norine K.   \n",
       "4                17            Cheri Bustos        93   Hammond Norine K.   \n",
       "...             ...                     ...       ...                 ...   \n",
       "8857             16          Adam Kinzinger        69       Sosnowski Joe   \n",
       "8858             16          Adam Kinzinger        69       Sosnowski Joe   \n",
       "8859             18         Darin M. LaHood        94      Frese Randy E.   \n",
       "8860             16          Adam Kinzinger        76      Long Jerry Lee   \n",
       "8861             17            Cheri Bustos        92  Gordon-Booth Jehan   \n",
       "\n",
       "      ...  Bldg Status Year Acquired Year Constructed  Square Footage  \\\n",
       "0     ...       In Use        1975.0             1975             144   \n",
       "1     ...       In Use        2004.0             2004             144   \n",
       "2     ...       In Use        2004.0             2004             144   \n",
       "3     ...       In Use        2004.0             2004             144   \n",
       "4     ...       In Use        2004.0             2004             144   \n",
       "...   ...          ...           ...              ...             ...   \n",
       "8857  ...       In Use           NaN                0             432   \n",
       "8858  ...       In Use           NaN                0             330   \n",
       "8859  ...       In Use           NaN             1987             130   \n",
       "8860  ...       In Use        1971.0             1971           49552   \n",
       "8861  ...  In Progress           NaN             2017             288   \n",
       "\n",
       "      Total Floors  Floors Above Grade  Floors Below Grade  \\\n",
       "0                1                   1                   0   \n",
       "1                1                   1                   0   \n",
       "2                1                   1                   0   \n",
       "3                1                   1                   0   \n",
       "4                1                   1                   0   \n",
       "...            ...                 ...                 ...   \n",
       "8857             1                   0                   0   \n",
       "8858             1                   0                   0   \n",
       "8859             1                   0                   0   \n",
       "8860             1                   1                   0   \n",
       "8861             1                   0                   0   \n",
       "\n",
       "         Usage Description   Usage Description 2 Usage Description 3  \n",
       "0                  Unusual               Unusual        Not provided  \n",
       "1                  Unusual               Unusual        Not provided  \n",
       "2                  Unusual               Unusual        Not provided  \n",
       "3                  Unusual               Unusual        Not provided  \n",
       "4                  Unusual               Unusual        Not provided  \n",
       "...                    ...                   ...                 ...  \n",
       "8857               Storage                   NaN                 NaN  \n",
       "8858               Storage                   NaN                 NaN  \n",
       "8859               Storage           High Hazard                 NaN  \n",
       "8860             Education             Education        Not provided  \n",
       "8861  Utiility & Miscellan  Utiility & Miscellan                 NaN  \n",
       "\n",
       "[8862 rows x 22 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#buildings['Year Acquired'] = pd.to_datetime(...)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "36211e89",
   "metadata": {},
   "outputs": [
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\"25%\": 5218.75, \"50%\": 17263.5, \"75%\": 49970.5, \"max\": 150659.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"count\": 30.0, \"mean\": 17604.066666666666, \"std\": 20197.49902908489, \"min\": 48.0, \"25%\": 2271.5, \"50%\": 9359.0, \"75%\": 20854.25, \"max\": 69600.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"count\": 37.0, \"mean\": 21414.297297297297, \"std\": 74637.60498638474, \"min\": 10.0, \"25%\": 2500.0, \"50%\": 4386.0, \"75%\": 7900.0, \"max\": 450000.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"count\": 101.0, \"mean\": 8335.336633663366, \"std\": 14198.32314062279, \"min\": 50.0, \"25%\": 800.0, \"50%\": 2333.0, \"75%\": 10548.0, \"max\": 73856.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"count\": 29.0, \"mean\": 35125.1724137931, \"std\": 71166.494532223, \"min\": 388.0, \"25%\": 1950.0, \"50%\": 3025.0, \"75%\": 15220.0, \"max\": 299772.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"count\": 60.0, \"mean\": 6901.216666666666, \"std\": 16106.379981386322, \"min\": 25.0, \"25%\": 325.0, \"50%\": 1060.0, \"75%\": 5418.0, \"max\": 90200.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"count\": 9.0, \"mean\": 7662.555555555556, \"std\": 8360.394026466563, \"min\": 300.0, \"25%\": 2581.0, \"50%\": 3240.0, \"75%\": 12000.0, \"max\": 26110.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"count\": 13.0, \"mean\": 13542.23076923077, \"std\": 20302.343748747524, \"min\": 282.0, \"25%\": 282.0, \"50%\": 1155.0, \"75%\": 12473.0, \"max\": 58305.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"count\": 214.0, \"mean\": 3236.121495327103, \"std\": 11348.703456140016, \"min\": 30.0, \"25%\": 228.0, \"50%\": 239.0, \"75%\": 800.0, \"max\": 80000.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"count\": 60.0, \"mean\": 11056.666666666666, \"std\": 14641.102723898613, \"min\": 70.0, \"25%\": 900.0, \"50%\": 5437.0, \"75%\": 16126.75, \"max\": 76228.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"count\": 52.0, \"mean\": 17813.384615384617, \"std\": 35813.398188526524, \"min\": 130.0, \"25%\": 2004.75, \"50%\": 12414.0, \"75%\": 17836.5, \"max\": 254636.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"count\": 32.0, \"mean\": 34791.28125, \"std\": 42049.79960769586, \"min\": 48.0, \"25%\": 2503.25, \"50%\": 26928.5, \"75%\": 33219.75, \"max\": 134450.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"count\": 30.0, \"mean\": 11719.1, \"std\": 21553.732876712787, \"min\": 224.0, \"25%\": 1898.25, \"50%\": 3816.5, \"75%\": 10883.5, \"max\": 109393.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"count\": 67.0, \"mean\": 19286.567164179105, \"std\": 52759.11072613758, \"min\": 30.0, \"25%\": 795.0, \"50%\": 2656.0, \"75%\": 13242.0, \"max\": 341100.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"count\": 27.0, \"mean\": 12807.777777777777, \"std\": 20989.624296365193, \"min\": 100.0, \"25%\": 1475.5, \"50%\": 4000.0, \"75%\": 12810.0, \"max\": 88973.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"count\": 25.0, \"mean\": 9722.8, \"std\": 18649.573008963678, \"min\": 122.0, \"25%\": 432.0, \"50%\": 2182.0, \"75%\": 7609.0, \"max\": 71274.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"count\": 9.0, \"mean\": 6402.0, \"std\": 7343.639986410009, \"min\": 363.0, \"25%\": 876.0, \"50%\": 1633.0, \"75%\": 11034.0, \"max\": 18626.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", \"count\": 10.0, \"mean\": 4460.2, \"std\": 5603.509947642935, \"min\": 224.0, \"25%\": 660.75, \"50%\": 3260.5, \"75%\": 4830.0, \"max\": 18826.0}, {\"Year Acquired\": \"1945-01-01T00:00:00\", \"count\": 20.0, \"mean\": 9503.95, \"std\": 23119.28846445391, \"min\": 27.0, \"25%\": 937.0, \"50%\": 1707.0, \"75%\": 3299.5, \"max\": 96404.0}, {\"Year Acquired\": \"1946-01-01T00:00:00\", \"count\": 8.0, \"mean\": 7350.0, \"std\": 15332.06515770136, \"min\": 270.0, \"25%\": 925.5, \"50%\": 1650.0, \"75%\": 3400.5, \"max\": 45000.0}, {\"Year Acquired\": \"1947-01-01T00:00:00\", \"count\": 20.0, \"mean\": 8236.5, \"std\": 14075.313893854243, \"min\": 50.0, \"25%\": 525.75, \"50%\": 3080.5, \"75%\": 5557.5, \"max\": 49185.0}, {\"Year Acquired\": \"1948-01-01T00:00:00\", \"count\": 54.0, \"mean\": 7007.537037037037, \"std\": 9656.249597595084, \"min\": 100.0, \"25%\": 863.25, \"50%\": 3205.0, \"75%\": 7376.0, \"max\": 38305.0}, {\"Year Acquired\": \"1949-01-01T00:00:00\", \"count\": 40.0, \"mean\": 22588.95, \"std\": 40756.41390766391, \"min\": 80.0, \"25%\": 1771.0, \"50%\": 7670.5, \"75%\": 17077.5, \"max\": 185214.0}, {\"Year Acquired\": \"1950-01-01T00:00:00\", \"count\": 175.0, \"mean\": 6808.171428571429, \"std\": 23767.581492790137, \"min\": 12.0, \"25%\": 309.0, \"50%\": 1374.0, \"75%\": 4575.0, \"max\": 260237.0}, {\"Year Acquired\": \"1951-01-01T00:00:00\", \"count\": 38.0, \"mean\": 15408.763157894737, \"std\": 32213.845755323822, \"min\": 145.0, \"25%\": 555.0, \"50%\": 2227.5, \"75%\": 8750.25, \"max\": 155636.0}, {\"Year Acquired\": \"1952-01-01T00:00:00\", \"count\": 44.0, \"mean\": 26227.0, \"std\": 50095.752137142794, \"min\": 25.0, \"25%\": 1578.75, \"50%\": 9290.5, \"75%\": 27378.25, \"max\": 280139.0}, {\"Year Acquired\": \"1953-01-01T00:00:00\", \"count\": 65.0, \"mean\": 7561.476923076923, \"std\": 24018.615784238384, \"min\": 120.0, \"25%\": 280.0, \"50%\": 1618.0, \"75%\": 3711.0, \"max\": 164939.0}, {\"Year Acquired\": \"1954-01-01T00:00:00\", \"count\": 73.0, \"mean\": 10464.82191780822, \"std\": 31190.46451389986, \"min\": 40.0, \"25%\": 576.0, \"50%\": 892.0, \"75%\": 4900.0, \"max\": 243593.0}, {\"Year Acquired\": \"1955-01-01T00:00:00\", \"count\": 65.0, \"mean\": 12526.476923076923, \"std\": 57663.39538056934, \"min\": 20.0, \"25%\": 350.0, \"50%\": 1469.0, \"75%\": 5220.0, \"max\": 452523.0}, {\"Year Acquired\": \"1956-01-01T00:00:00\", \"count\": 54.0, \"mean\": 21482.12962962963, \"std\": 54267.8608817502, \"min\": 132.0, \"25%\": 2382.0, \"50%\": 4423.0, \"75%\": 13901.75, \"max\": 331541.0}, {\"Year Acquired\": \"1957-01-01T00:00:00\", \"count\": 56.0, \"mean\": 16544.303571428572, \"std\": 26266.414561647933, \"min\": 40.0, \"25%\": 883.5, \"50%\": 5928.0, \"75%\": 20059.5, \"max\": 119500.0}, {\"Year Acquired\": \"1958-01-01T00:00:00\", \"count\": 92.0, \"mean\": 10273.108695652174, \"std\": 25633.219600490233, \"min\": 12.0, \"25%\": 560.0, \"50%\": 2400.0, \"75%\": 8043.0, \"max\": 190977.0}, {\"Year Acquired\": \"1959-01-01T00:00:00\", \"count\": 63.0, \"mean\": 23393.539682539682, \"std\": 54551.838832383706, \"min\": 20.0, \"25%\": 2442.0, \"50%\": 6000.0, \"75%\": 16933.5, \"max\": 344652.0}, {\"Year Acquired\": \"1960-01-01T00:00:00\", \"count\": 141.0, \"mean\": 6770.992907801418, \"std\": 30578.953011016405, \"min\": 9.0, \"25%\": 288.0, \"50%\": 984.0, \"75%\": 2912.0, \"max\": 323525.0}, {\"Year Acquired\": \"1961-01-01T00:00:00\", \"count\": 51.0, \"mean\": 16320.313725490196, \"std\": 33994.95869771881, \"min\": 25.0, \"25%\": 727.5, \"50%\": 2800.0, \"75%\": 8354.0, \"max\": 183750.0}, {\"Year Acquired\": \"1962-01-01T00:00:00\", \"count\": 72.0, \"mean\": 17826.76388888889, \"std\": 40203.09748997628, \"min\": 12.0, \"25%\": 1279.5, \"50%\": 3239.5, \"75%\": 12446.5, \"max\": 252320.0}, {\"Year Acquired\": \"1963-01-01T00:00:00\", \"count\": 113.0, \"mean\": 21474.672566371682, \"std\": 50204.632323344296, \"min\": 12.0, \"25%\": 1512.0, \"50%\": 3804.0, \"75%\": 19000.0, \"max\": 335918.0}, {\"Year Acquired\": \"1964-01-01T00:00:00\", \"count\": 130.0, \"mean\": 19322.992307692308, \"std\": 36597.21245399766, \"min\": 20.0, \"25%\": 600.0, \"50%\": 2632.0, \"75%\": 17667.0, \"max\": 185880.0}, {\"Year Acquired\": \"1965-01-01T00:00:00\", \"count\": 173.0, \"mean\": 24489.323699421966, \"std\": 53535.174160169925, \"min\": 20.0, \"25%\": 1456.0, \"50%\": 4200.0, \"75%\": 23120.0, \"max\": 460546.0}, {\"Year Acquired\": \"1966-01-01T00:00:00\", \"count\": 77.0, \"mean\": 28220.12987012987, \"std\": 45177.83189252476, \"min\": 16.0, \"25%\": 2048.0, \"50%\": 5863.0, \"75%\": 36075.0, \"max\": 224843.0}, {\"Year Acquired\": \"1967-01-01T00:00:00\", \"count\": 117.0, \"mean\": 20335.1452991453, \"std\": 34592.454321781915, \"min\": 12.0, \"25%\": 1800.0, \"50%\": 8349.0, \"75%\": 18490.0, \"max\": 228083.0}, {\"Year Acquired\": \"1968-01-01T00:00:00\", \"count\": 123.0, \"mean\": 13546.325203252032, \"std\": 40273.1453669295, \"min\": 20.0, \"25%\": 955.0, \"50%\": 2400.0, \"75%\": 7196.0, \"max\": 277091.0}, {\"Year Acquired\": \"1969-01-01T00:00:00\", \"count\": 62.0, \"mean\": 35578.596774193546, \"std\": 82299.22748725335, \"min\": 25.0, \"25%\": 589.5, \"50%\": 4456.0, \"75%\": 13613.75, \"max\": 456722.0}, {\"Year Acquired\": \"1970-01-01T00:00:00\", \"count\": 216.0, \"mean\": 9183.99537037037, \"std\": 28057.240951477765, \"min\": 18.0, \"25%\": 240.0, \"50%\": 889.0, \"75%\": 4380.5, \"max\": 226525.0}, {\"Year Acquired\": \"1971-01-01T00:00:00\", \"count\": 109.0, \"mean\": 23629.577981651375, \"std\": 58685.71346703613, \"min\": 124.0, \"25%\": 1437.0, \"50%\": 5760.0, \"75%\": 20303.0, \"max\": 500000.0}, {\"Year Acquired\": \"1972-01-01T00:00:00\", \"count\": 121.0, \"mean\": 15613.01652892562, \"std\": 48993.93354997867, \"min\": 16.0, \"25%\": 144.0, \"50%\": 1280.0, \"75%\": 5353.0, \"max\": 347981.0}, {\"Year Acquired\": \"1973-01-01T00:00:00\", \"count\": 125.0, \"mean\": 9745.432, \"std\": 26849.922143617525, \"min\": 24.0, \"25%\": 1800.0, \"50%\": 2920.0, \"75%\": 3040.0, \"max\": 185458.0}, {\"Year Acquired\": \"1974-01-01T00:00:00\", \"count\": 192.0, \"mean\": 4999.770833333333, \"std\": 22745.999592577424, \"min\": 16.0, \"25%\": 36.0, \"50%\": 1680.0, \"75%\": 2800.0, \"max\": 277831.0}, {\"Year Acquired\": \"1975-01-01T00:00:00\", \"count\": 238.0, \"mean\": 5861.399159663865, \"std\": 16332.917613982725, \"min\": 16.0, \"25%\": 640.0, \"50%\": 2729.5, \"75%\": 3750.0, \"max\": 160305.0}, {\"Year Acquired\": \"1976-01-01T00:00:00\", \"count\": 139.0, \"mean\": 10166.84892086331, \"std\": 37905.41062711686, \"min\": 16.0, \"25%\": 200.0, \"50%\": 1120.0, \"75%\": 3600.0, \"max\": 298474.0}, {\"Year Acquired\": \"1977-01-01T00:00:00\", \"count\": 98.0, \"mean\": 12004.65306122449, \"std\": 75215.12199048368, \"min\": 18.0, \"25%\": 42.0, \"50%\": 349.5, \"75%\": 1734.0, \"max\": 671416.0}, {\"Year Acquired\": \"1978-01-01T00:00:00\", \"count\": 79.0, \"mean\": 12148.658227848102, \"std\": 30707.55389021007, \"min\": 48.0, \"25%\": 534.0, \"50%\": 1440.0, \"75%\": 6804.0, \"max\": 144534.0}, {\"Year Acquired\": \"1979-01-01T00:00:00\", \"count\": 116.0, \"mean\": 3286.043103448276, \"std\": 9702.435457941334, \"min\": 12.0, \"25%\": 150.0, \"50%\": 460.5, \"75%\": 2220.0, \"max\": 70995.0}, {\"Year Acquired\": \"1980-01-01T00:00:00\", \"count\": 136.0, \"mean\": 3040.25, \"std\": 9626.164334192976, \"min\": 12.0, \"25%\": 120.0, \"50%\": 310.0, \"75%\": 1800.0, \"max\": 82247.0}, {\"Year Acquired\": \"1981-01-01T00:00:00\", \"count\": 175.0, \"mean\": 10051.891428571429, \"std\": 26853.691353624563, \"min\": 20.0, \"25%\": 432.0, \"50%\": 3450.0, \"75%\": 8895.0, \"max\": 216283.0}, {\"Year Acquired\": \"1982-01-01T00:00:00\", \"count\": 80.0, \"mean\": 10162.3875, \"std\": 34968.08857037605, \"min\": 20.0, \"25%\": 400.0, \"50%\": 1000.0, \"75%\": 4364.0, \"max\": 258516.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"count\": 56.0, \"mean\": 12152.964285714286, \"std\": 26712.921492970592, \"min\": 25.0, \"25%\": 234.0, \"50%\": 900.0, \"75%\": 12147.0, \"max\": 147000.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"count\": 137.0, \"mean\": 14252.21897810219, \"std\": 78602.29920130267, \"min\": 18.0, \"25%\": 192.0, \"50%\": 1100.0, \"75%\": 10160.0, \"max\": 913236.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"count\": 147.0, \"mean\": 13685.251700680272, \"std\": 99310.80973863353, \"min\": 20.0, \"25%\": 240.0, \"50%\": 805.0, \"75%\": 4350.0, \"max\": 1200000.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"count\": 169.0, \"mean\": 5693.7692307692305, \"std\": 14956.371277342447, \"min\": 12.0, \"25%\": 190.0, \"50%\": 896.0, \"75%\": 3000.0, \"max\": 101614.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"count\": 159.0, \"mean\": 8526.4213836478, \"std\": 31069.05988367671, \"min\": 18.0, \"25%\": 104.0, \"50%\": 1128.0, \"75%\": 4774.0, \"max\": 344228.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"count\": 135.0, \"mean\": 3601.651851851852, \"std\": 8764.455069282427, \"min\": 18.0, \"25%\": 220.0, \"50%\": 900.0, \"75%\": 3156.0, \"max\": 75000.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"count\": 192.0, \"mean\": 11383.854166666666, \"std\": 36610.12461855261, \"min\": 16.0, \"25%\": 144.0, \"50%\": 1584.5, \"75%\": 5334.0, \"max\": 443865.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"count\": 182.0, \"mean\": 12137.626373626374, \"std\": 30761.23202299185, \"min\": 36.0, \"25%\": 183.5, \"50%\": 1810.0, \"75%\": 13194.0, \"max\": 226062.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"count\": 99.0, \"mean\": 16705.52525252525, \"std\": 81556.1192773322, \"min\": 18.0, \"25%\": 544.0, \"50%\": 1728.0, \"75%\": 5139.0, \"max\": 779732.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"count\": 110.0, \"mean\": 8187.363636363636, \"std\": 18316.35315337178, \"min\": 20.0, \"25%\": 360.0, \"50%\": 1818.0, \"75%\": 4710.0, \"max\": 119735.0}, {\"Year Acquired\": \"1993-01-01T00:00:00\", \"count\": 91.0, \"mean\": 3868.1098901098903, \"std\": 7280.909893459668, \"min\": 18.0, \"25%\": 90.0, \"50%\": 1050.0, \"75%\": 4223.0, \"max\": 40000.0}, {\"Year Acquired\": \"1994-01-01T00:00:00\", \"count\": 107.0, \"mean\": 4071.5607476635514, \"std\": 8359.039006761357, \"min\": 36.0, \"25%\": 560.0, \"50%\": 1568.0, \"75%\": 3936.0, \"max\": 49275.0}, {\"Year Acquired\": \"1995-01-01T00:00:00\", \"count\": 122.0, \"mean\": 7191.770491803279, \"std\": 17967.955431633607, \"min\": 64.0, \"25%\": 309.0, \"50%\": 1920.0, \"75%\": 4815.0, \"max\": 119700.0}, {\"Year Acquired\": \"1996-01-01T00:00:00\", \"count\": 137.0, \"mean\": 9865.627737226278, \"std\": 33201.52837995283, \"min\": 20.0, \"25%\": 144.0, \"50%\": 1176.0, \"75%\": 4032.0, \"max\": 242165.0}, {\"Year Acquired\": \"1997-01-01T00:00:00\", \"count\": 108.0, \"mean\": 10283.925925925925, \"std\": 22768.56624831277, \"min\": 24.0, \"25%\": 224.75, \"50%\": 1825.0, \"75%\": 4652.25, \"max\": 125000.0}, {\"Year Acquired\": \"1998-01-01T00:00:00\", \"count\": 124.0, \"mean\": 5898.3387096774195, \"std\": 14060.043460529749, \"min\": 25.0, \"25%\": 286.0, \"50%\": 847.5, \"75%\": 4299.0, \"max\": 116030.0}, {\"Year Acquired\": \"1999-01-01T00:00:00\", \"count\": 151.0, \"mean\": 2413.3576158940396, \"std\": 5231.4449824681915, \"min\": 30.0, \"25%\": 144.0, \"50%\": 384.0, \"75%\": 2104.0, \"max\": 45000.0}, {\"Year Acquired\": \"2000-01-01T00:00:00\", \"count\": 357.0, \"mean\": 3498.002801120448, \"std\": 11276.816349499064, \"min\": 24.0, \"25%\": 144.0, \"50%\": 234.0, \"75%\": 1584.0, \"max\": 131835.0}, {\"Year Acquired\": \"2001-01-01T00:00:00\", \"count\": 168.0, \"mean\": 7916.392857142857, \"std\": 29596.44608359036, \"min\": 64.0, \"25%\": 144.0, \"50%\": 313.0, \"75%\": 2401.5, \"max\": 307288.0}, {\"Year Acquired\": \"2002-01-01T00:00:00\", \"count\": 116.0, \"mean\": 8931.98275862069, \"std\": 20494.191820667347, \"min\": 80.0, \"25%\": 332.0, \"50%\": 1300.0, \"75%\": 6300.0, \"max\": 140000.0}, {\"Year Acquired\": \"2003-01-01T00:00:00\", \"count\": 104.0, \"mean\": 10015.663461538461, \"std\": 37322.69734282202, \"min\": 20.0, \"25%\": 144.0, \"50%\": 180.0, \"75%\": 2456.0, \"max\": 318437.0}, {\"Year Acquired\": \"2004-01-01T00:00:00\", \"count\": 79.0, \"mean\": 7281.658227848101, \"std\": 24762.442250873573, \"min\": 70.0, \"25%\": 144.0, \"50%\": 144.0, \"75%\": 4052.5, \"max\": 155174.0}, {\"Year Acquired\": \"2005-01-01T00:00:00\", \"count\": 75.0, \"mean\": 19925.48, \"std\": 56811.500047123605, \"min\": 60.0, \"25%\": 144.0, \"50%\": 288.0, \"75%\": 3036.0, \"max\": 335247.0}, {\"Year Acquired\": \"2006-01-01T00:00:00\", \"count\": 193.0, \"mean\": 3221.295336787565, \"std\": 16471.966229616104, \"min\": 36.0, \"25%\": 75.0, \"50%\": 75.0, \"75%\": 700.0, \"max\": 180000.0}, {\"Year Acquired\": \"2007-01-01T00:00:00\", \"count\": 42.0, \"mean\": 23703.0, \"std\": 47710.47411310813, \"min\": 20.0, \"25%\": 501.75, \"50%\": 2460.0, \"75%\": 10833.0, \"max\": 202759.0}, {\"Year Acquired\": \"2008-01-01T00:00:00\", \"count\": 11.0, \"mean\": 14565.727272727272, \"std\": 43181.082883806666, \"min\": 93.0, \"25%\": 147.0, \"50%\": 700.0, \"75%\": 2437.5, \"max\": 144580.0}, {\"Year Acquired\": \"2009-01-01T00:00:00\", \"count\": 20.0, \"mean\": 12986.2, \"std\": 25445.14786462503, \"min\": 20.0, \"25%\": 466.5, \"50%\": 2109.5, \"75%\": 9186.5, \"max\": 96000.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"count\": 22.0, \"mean\": 17214.772727272728, \"std\": 34147.04657511438, \"min\": 24.0, \"25%\": 495.0, \"50%\": 4000.0, \"75%\": 10937.75, \"max\": 148183.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"count\": 23.0, \"mean\": 6650.130434782609, \"std\": 15220.376605973586, \"min\": 24.0, \"25%\": 144.0, \"50%\": 1386.0, \"75%\": 4036.0, \"max\": 64000.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"count\": 23.0, \"mean\": 10874.478260869566, \"std\": 29866.02269967049, \"min\": 100.0, \"25%\": 850.0, \"50%\": 2464.0, \"75%\": 4670.0, \"max\": 136000.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"count\": 8.0, \"mean\": 48935.625, \"std\": 84820.0285713185, \"min\": 144.0, \"25%\": 144.0, \"50%\": 2673.0, \"75%\": 54398.5, \"max\": 230665.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"count\": 33.0, \"mean\": 20130.242424242424, \"std\": 25152.687037161533, \"min\": 10.0, \"25%\": 3200.0, \"50%\": 13387.0, \"75%\": 23040.0, \"max\": 94830.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"count\": 20.0, \"mean\": 15254.65, \"std\": 29153.08528996004, \"min\": 144.0, \"25%\": 696.0, \"50%\": 3152.0, \"75%\": 10590.25, \"max\": 105000.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"count\": 10.0, \"mean\": 30483.9, \"std\": 61864.18049144252, \"min\": 1152.0, \"25%\": 2464.0, \"50%\": 3352.5, \"75%\": 3793.0, \"max\": 184000.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"count\": 1.0, \"mean\": 6720.0, \"std\": null, \"min\": 6720.0, \"25%\": 6720.0, \"50%\": 6720.0, \"75%\": 6720.0, \"max\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"count\": 4.0, \"mean\": 4290.0, \"std\": 5153.644341628553, \"min\": 1455.0, \"25%\": 1455.0, \"50%\": 1852.5, \"75%\": 4687.5, \"max\": 12000.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"count\": 2.0, \"mean\": 760.0, \"std\": 0.0, \"min\": 760.0, \"25%\": 760.0, \"50%\": 760.0, \"75%\": 760.0, \"max\": 760.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lines = alt.Chart(stats.reset_index()).mark_line().encode(\n",
    "    alt.X(\"Year Acquired:T\"),\n",
    "    alt.Y(\"max:Q\")\n",
    ").properties(\n",
    "    width=600\n",
    ")\n",
    "lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d9e5e790",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  #altair-viz-b459b9a1aa8d40ccb1c070b44c69b894.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-b459b9a1aa8d40ccb1c070b44c69b894.vega-embed details,\n",
       "  #altair-viz-b459b9a1aa8d40ccb1c070b44c69b894.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-b459b9a1aa8d40ccb1c070b44c69b894\"></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-b459b9a1aa8d40ccb1c070b44c69b894\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-b459b9a1aa8d40ccb1c070b44c69b894\");\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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       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
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       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${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",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
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       "        .then(() => displayChart(vegaEmbed));\n",
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       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"line\", \"color\": \"blue\"}, \"encoding\": {\"x\": {\"field\": \"Year Acquired\", \"type\": \"temporal\"}, \"y\": {\"field\": \"max\", \"type\": \"quantitative\"}}}, {\"mark\": {\"type\": \"line\", \"color\": \"orange\"}, \"encoding\": {\"x\": {\"field\": \"Year Acquired\", \"type\": \"temporal\"}, \"y\": {\"field\": \"min\", \"type\": \"quantitative\"}}}], \"data\": {\"name\": \"data-68620f7bbd1b2d72c7b904f6b1c41376\"}, \"height\": 100, \"width\": 600, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-68620f7bbd1b2d72c7b904f6b1c41376\": [{\"Year Acquired\": \"1753-01-01T00:00:00\", \"count\": 1.0, \"mean\": 1200.0, \"std\": null, \"min\": 1200.0, \"25%\": 1200.0, \"50%\": 1200.0, \"75%\": 1200.0, \"max\": 1200.0}, {\"Year Acquired\": \"1802-01-01T00:00:00\", \"count\": 2.0, \"mean\": 2220.0, \"std\": 1943.1294347006326, \"min\": 846.0, \"25%\": 1533.0, \"50%\": 2220.0, \"75%\": 2907.0, \"max\": 3594.0}, {\"Year Acquired\": \"1810-01-01T00:00:00\", \"count\": 3.0, \"mean\": 1344.3333333333333, \"std\": 1809.9459476275345, \"min\": 216.0, \"25%\": 300.5, \"50%\": 385.0, \"75%\": 1908.5, \"max\": 3432.0}, {\"Year Acquired\": \"1832-01-01T00:00:00\", \"count\": 1.0, \"mean\": 120000.0, \"std\": null, \"min\": 120000.0, \"25%\": 120000.0, \"50%\": 120000.0, \"75%\": 120000.0, \"max\": 120000.0}, {\"Year Acquired\": \"1837-01-01T00:00:00\", \"count\": 1.0, \"mean\": 10302.0, \"std\": null, \"min\": 10302.0, \"25%\": 10302.0, \"50%\": 10302.0, \"75%\": 10302.0, \"max\": 10302.0}, {\"Year Acquired\": \"1838-01-01T00:00:00\", \"count\": 1.0, \"mean\": 2010.0, \"std\": null, \"min\": 2010.0, \"25%\": 2010.0, \"50%\": 2010.0, \"75%\": 2010.0, \"max\": 2010.0}, {\"Year Acquired\": \"1839-01-01T00:00:00\", \"count\": 1.0, \"mean\": 11752.0, \"std\": null, \"min\": 11752.0, \"25%\": 11752.0, \"50%\": 11752.0, \"75%\": 11752.0, \"max\": 11752.0}, {\"Year Acquired\": \"1840-01-01T00:00:00\", \"count\": 8.0, \"mean\": 4614.75, \"std\": 6890.521496955074, \"min\": 608.0, \"25%\": 750.0, \"50%\": 1492.0, \"75%\": 4218.75, \"max\": 20221.0}, {\"Year Acquired\": \"1841-01-01T00:00:00\", \"count\": 1.0, \"mean\": 3256.0, \"std\": null, \"min\": 3256.0, \"25%\": 3256.0, \"50%\": 3256.0, \"75%\": 3256.0, \"max\": 3256.0}, {\"Year Acquired\": \"1843-01-01T00:00:00\", \"count\": 1.0, \"mean\": 900.0, \"std\": null, \"min\": 900.0, \"25%\": 900.0, \"50%\": 900.0, \"75%\": 900.0, \"max\": 900.0}, {\"Year Acquired\": \"1844-01-01T00:00:00\", \"count\": 1.0, \"mean\": 4088.0, \"std\": null, \"min\": 4088.0, \"25%\": 4088.0, \"50%\": 4088.0, \"75%\": 4088.0, \"max\": 4088.0}, {\"Year Acquired\": \"1845-01-01T00:00:00\", \"count\": 3.0, \"mean\": 21948.666666666668, \"std\": 31203.93836254221, \"min\": 3616.0, \"25%\": 3934.0, \"50%\": 4252.0, \"75%\": 31115.0, \"max\": 57978.0}, {\"Year 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\"1856-01-01T00:00:00\", \"count\": 1.0, \"mean\": 750.0, \"std\": null, \"min\": 750.0, \"25%\": 750.0, \"50%\": 750.0, \"75%\": 750.0, \"max\": 750.0}, {\"Year Acquired\": \"1857-01-01T00:00:00\", \"count\": 2.0, \"mean\": 9062.0, \"std\": 8572.962615105702, \"min\": 3000.0, \"25%\": 6031.0, \"50%\": 9062.0, \"75%\": 12093.0, \"max\": 15124.0}, {\"Year Acquired\": \"1858-01-01T00:00:00\", \"count\": 2.0, \"mean\": 11183.5, \"std\": 5397.346060796917, \"min\": 7367.0, \"25%\": 9275.25, \"50%\": 11183.5, \"75%\": 13091.75, \"max\": 15000.0}, {\"Year Acquired\": \"1859-01-01T00:00:00\", \"count\": 1.0, \"mean\": 4847.0, \"std\": null, \"min\": 4847.0, \"25%\": 4847.0, \"50%\": 4847.0, \"75%\": 4847.0, \"max\": 4847.0}, {\"Year Acquired\": \"1860-01-01T00:00:00\", \"count\": 6.0, \"mean\": 4569.5, \"std\": 7751.7325482759015, \"min\": 36.0, \"25%\": 527.25, \"50%\": 1606.5, \"75%\": 3282.0, \"max\": 20160.0}, {\"Year Acquired\": \"1863-01-01T00:00:00\", \"count\": 1.0, \"mean\": 15795.0, \"std\": null, \"min\": 15795.0, \"25%\": 15795.0, \"50%\": 15795.0, \"75%\": 15795.0, \"max\": 15795.0}, {\"Year Acquired\": \"1865-01-01T00:00:00\", \"count\": 9.0, \"mean\": 24832.666666666668, \"std\": 32196.90740583635, \"min\": 225.0, \"25%\": 225.0, \"50%\": 9540.0, \"75%\": 66150.0, \"max\": 68040.0}, {\"Year Acquired\": \"1867-01-01T00:00:00\", \"count\": 1.0, \"mean\": 2700.0, \"std\": null, \"min\": 2700.0, \"25%\": 2700.0, \"50%\": 2700.0, \"75%\": 2700.0, \"max\": 2700.0}, {\"Year Acquired\": \"1870-01-01T00:00:00\", \"count\": 1.0, \"mean\": 2864.0, \"std\": null, \"min\": 2864.0, \"25%\": 2864.0, \"50%\": 2864.0, \"75%\": 2864.0, \"max\": 2864.0}, {\"Year Acquired\": \"1871-01-01T00:00:00\", \"count\": 5.0, \"mean\": 1280.6, \"std\": 1244.568117862578, \"min\": 290.0, \"25%\": 714.0, \"50%\": 768.0, \"75%\": 1200.0, \"max\": 3431.0}, {\"Year Acquired\": \"1872-01-01T00:00:00\", \"count\": 1.0, \"mean\": 14900.0, \"std\": null, \"min\": 14900.0, \"25%\": 14900.0, \"50%\": 14900.0, \"75%\": 14900.0, \"max\": 14900.0}, {\"Year Acquired\": \"1873-01-01T00:00:00\", \"count\": 1.0, \"mean\": 11000.0, \"std\": null, \"min\": 11000.0, \"25%\": 11000.0, \"50%\": 11000.0, \"75%\": 11000.0, \"max\": 11000.0}, {\"Year Acquired\": \"1874-01-01T00:00:00\", \"count\": 1.0, \"mean\": 6600.0, \"std\": null, \"min\": 6600.0, \"25%\": 6600.0, \"50%\": 6600.0, \"75%\": 6600.0, \"max\": 6600.0}, {\"Year Acquired\": \"1875-01-01T00:00:00\", \"count\": 3.0, \"mean\": 1269.3333333333333, \"std\": 801.8611683660291, \"min\": 400.0, \"25%\": 914.0, \"50%\": 1428.0, \"75%\": 1704.0, \"max\": 1980.0}, {\"Year Acquired\": \"1876-01-01T00:00:00\", \"count\": 5.0, \"mean\": 80856.0, \"std\": 160693.74499338795, \"min\": 1200.0, \"25%\": 6000.0, \"50%\": 7680.0, \"75%\": 21400.0, \"max\": 368000.0}, {\"Year Acquired\": \"1878-01-01T00:00:00\", \"count\": 1.0, \"mean\": 33071.0, \"std\": null, \"min\": 33071.0, \"25%\": 33071.0, \"50%\": 33071.0, \"75%\": 33071.0, \"max\": 33071.0}, {\"Year Acquired\": \"1880-01-01T00:00:00\", \"count\": 8.0, \"mean\": 22479.125, \"std\": 18584.21640945809, \"min\": 1800.0, \"25%\": 3657.75, \"50%\": 25258.5, \"75%\": 32816.75, \"max\": 54118.0}, {\"Year Acquired\": \"1881-01-01T00:00:00\", \"count\": 1.0, \"mean\": 6671.0, \"std\": null, \"min\": 6671.0, \"25%\": 6671.0, \"50%\": 6671.0, \"75%\": 6671.0, \"max\": 6671.0}, {\"Year Acquired\": \"1882-01-01T00:00:00\", \"count\": 2.0, \"mean\": 29633.0, \"std\": 16239.414336730251, \"min\": 18150.0, \"25%\": 23891.5, \"50%\": 29633.0, \"75%\": 35374.5, \"max\": 41116.0}, {\"Year Acquired\": \"1883-01-01T00:00:00\", \"count\": 2.0, \"mean\": 4362.5, \"std\": 5957.374631496663, \"min\": 150.0, \"25%\": 2256.25, \"50%\": 4362.5, \"75%\": 6468.75, \"max\": 8575.0}, {\"Year Acquired\": \"1885-01-01T00:00:00\", \"count\": 4.0, \"mean\": 7539.25, \"std\": 13162.546900834453, \"min\": 184.0, \"25%\": 588.25, \"50%\": 1361.5, \"75%\": 8312.5, \"max\": 27250.0}, {\"Year Acquired\": \"1886-01-01T00:00:00\", \"count\": 13.0, \"mean\": 12951.538461538461, \"std\": 13386.600723704933, \"min\": 50.0, \"25%\": 190.0, \"50%\": 9203.0, \"75%\": 18846.0, \"max\": 44800.0}, {\"Year Acquired\": \"1887-01-01T00:00:00\", \"count\": 4.0, \"mean\": 48705.75, \"std\": 32875.86620785324, \"min\": 15000.0, \"25%\": 25078.5, \"50%\": 46599.0, \"75%\": 70226.25, \"max\": 86625.0}, {\"Year Acquired\": \"1888-01-01T00:00:00\", \"count\": 2.0, \"mean\": 42462.0, \"std\": 19397.353221509373, \"min\": 28746.0, \"25%\": 35604.0, \"50%\": 42462.0, \"75%\": 49320.0, \"max\": 56178.0}, {\"Year Acquired\": \"1890-01-01T00:00:00\", \"count\": 7.0, \"mean\": 12333.42857142857, \"std\": 12204.232078219737, \"min\": 300.0, \"25%\": 1050.0, \"50%\": 9600.0, \"75%\": 23462.5, \"max\": 27409.0}, {\"Year Acquired\": \"1891-01-01T00:00:00\", \"count\": 1.0, \"mean\": 2325.0, \"std\": null, \"min\": 2325.0, \"25%\": 2325.0, \"50%\": 2325.0, \"75%\": 2325.0, \"max\": 2325.0}, {\"Year Acquired\": \"1892-01-01T00:00:00\", \"count\": 3.0, \"mean\": 50493.333333333336, \"std\": 53825.39714050732, \"min\": 4380.0, \"25%\": 20921.0, \"50%\": 37462.0, \"75%\": 73550.0, \"max\": 109638.0}, {\"Year Acquired\": \"1893-01-01T00:00:00\", \"count\": 6.0, \"mean\": 6598.333333333333, \"std\": 4939.713217046782, \"min\": 800.0, \"25%\": 2475.0, \"50%\": 6757.5, \"75%\": 10128.75, \"max\": 12975.0}, {\"Year Acquired\": \"1894-01-01T00:00:00\", \"count\": 1.0, \"mean\": 85000.0, \"std\": null, \"min\": 85000.0, \"25%\": 85000.0, \"50%\": 85000.0, \"75%\": 85000.0, \"max\": 85000.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"count\": 7.0, \"mean\": 32239.571428571428, \"std\": 35308.668821585175, \"min\": 4444.0, \"25%\": 13050.0, \"50%\": 23430.0, \"75%\": 31497.5, \"max\": 108708.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"count\": 6.0, \"mean\": 48360.833333333336, \"std\": 32818.91091073356, \"min\": 13401.0, \"25%\": 19152.75, \"50%\": 48302.0, \"75%\": 70368.25, \"max\": 93000.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"count\": 1.0, \"mean\": 132907.0, \"std\": null, \"min\": 132907.0, \"25%\": 132907.0, \"50%\": 132907.0, \"75%\": 132907.0, \"max\": 132907.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"count\": 2.0, \"mean\": 18380.0, \"std\": 23589.082220383225, \"min\": 1700.0, \"25%\": 10040.0, \"50%\": 18380.0, \"75%\": 26720.0, \"max\": 35060.0}, {\"Year Acquired\": \"1899-01-01T00:00:00\", \"count\": 3.0, \"mean\": 40491.666666666664, \"std\": 9595.529914149261, \"min\": 32229.0, \"25%\": 35229.5, \"50%\": 38230.0, \"75%\": 44623.0, \"max\": 51016.0}, {\"Year Acquired\": \"1900-01-01T00:00:00\", \"count\": 27.0, \"mean\": 12438.333333333334, \"std\": 24407.48622546275, \"min\": 200.0, \"25%\": 1053.5, \"50%\": 2220.0, \"75%\": 7282.0, \"max\": 107660.0}, {\"Year Acquired\": \"1901-01-01T00:00:00\", \"count\": 3.0, \"mean\": 36495.333333333336, \"std\": 44235.87532007628, \"min\": 1450.0, \"25%\": 11643.0, \"50%\": 21836.0, \"75%\": 54018.0, \"max\": 86200.0}, {\"Year Acquired\": \"1902-01-01T00:00:00\", \"count\": 8.0, \"mean\": 33715.625, \"std\": 74910.74220113561, \"min\": 82.0, \"25%\": 274.5, \"50%\": 608.5, \"75%\": 15125.0, \"max\": 214000.0}, {\"Year Acquired\": \"1903-01-01T00:00:00\", \"count\": 6.0, \"mean\": 26764.0, \"std\": 22442.40435425759, \"min\": 10288.0, \"25%\": 15330.5, \"50%\": 20377.0, \"75%\": 23456.25, \"max\": 71411.0}, {\"Year Acquired\": \"1904-01-01T00:00:00\", \"count\": 7.0, \"mean\": 5852.0, \"std\": 5686.738256681065, \"min\": 480.0, \"25%\": 1840.0, \"50%\": 4000.0, \"75%\": 8752.0, \"max\": 15300.0}, {\"Year Acquired\": \"1905-01-01T00:00:00\", \"count\": 13.0, \"mean\": 24068.153846153848, \"std\": 38173.902599040426, \"min\": 150.0, \"25%\": 5910.0, \"50%\": 7500.0, \"75%\": 16086.0, \"max\": 132146.0}, {\"Year Acquired\": \"1906-01-01T00:00:00\", \"count\": 2.0, \"mean\": 10187.0, \"std\": 5038.842922735338, \"min\": 6624.0, \"25%\": 8405.5, \"50%\": 10187.0, \"75%\": 11968.5, \"max\": 13750.0}, {\"Year Acquired\": \"1907-01-01T00:00:00\", \"count\": 9.0, \"mean\": 14809.444444444445, \"std\": 14097.166977012714, \"min\": 2900.0, \"25%\": 5625.0, \"50%\": 9816.0, \"75%\": 15782.0, \"max\": 47656.0}, {\"Year Acquired\": \"1908-01-01T00:00:00\", \"count\": 11.0, \"mean\": 32750.18181818182, \"std\": 30984.242959343646, \"min\": 2682.0, \"25%\": 7677.5, \"50%\": 32146.0, \"75%\": 47762.0, \"max\": 102521.0}, {\"Year Acquired\": \"1909-01-01T00:00:00\", \"count\": 7.0, \"mean\": 42611.857142857145, \"std\": 46199.134419844464, \"min\": 2175.0, \"25%\": 18149.0, \"50%\": 38680.0, \"75%\": 39424.5, \"max\": 142281.0}, {\"Year Acquired\": \"1910-01-01T00:00:00\", \"count\": 22.0, \"mean\": 10518.681818181818, \"std\": 12792.414930382858, \"min\": 150.0, \"25%\": 642.0, \"50%\": 5675.0, \"75%\": 14022.0, \"max\": 45072.0}, {\"Year Acquired\": \"1911-01-01T00:00:00\", \"count\": 8.0, \"mean\": 29715.25, \"std\": 56212.93885307901, \"min\": 160.0, \"25%\": 5261.25, \"50%\": 8981.0, \"75%\": 17153.25, \"max\": 166742.0}, {\"Year Acquired\": \"1912-01-01T00:00:00\", \"count\": 9.0, \"mean\": 46979.11111111111, \"std\": 31165.397067278172, \"min\": 3464.0, \"25%\": 31683.0, \"50%\": 50408.0, \"75%\": 51944.0, \"max\": 100570.0}, {\"Year Acquired\": \"1913-01-01T00:00:00\", \"count\": 17.0, \"mean\": 9335.882352941177, \"std\": 8638.002972926908, \"min\": 1152.0, \"25%\": 5976.0, \"50%\": 5976.0, \"75%\": 6974.0, \"max\": 35415.0}, {\"Year Acquired\": \"1914-01-01T00:00:00\", \"count\": 4.0, \"mean\": 83526.5, \"std\": 133998.1448988505, \"min\": 3288.0, \"25%\": 7689.75, \"50%\": 23812.0, \"75%\": 99648.75, \"max\": 283194.0}, {\"Year Acquired\": \"1915-01-01T00:00:00\", \"count\": 16.0, \"mean\": 33253.1875, \"std\": 36118.06747546856, \"min\": 3736.0, \"25%\": 13754.5, \"50%\": 22300.5, \"75%\": 33683.0, \"max\": 148780.0}, {\"Year Acquired\": \"1916-01-01T00:00:00\", \"count\": 11.0, \"mean\": 19092.090909090908, \"std\": 19720.66584806175, \"min\": 16.0, \"25%\": 2610.0, \"50%\": 17880.0, \"75%\": 28189.5, \"max\": 56120.0}, {\"Year Acquired\": \"1917-01-01T00:00:00\", \"count\": 2.0, \"mean\": 16488.0, \"std\": 16393.563615028917, \"min\": 4896.0, \"25%\": 10692.0, \"50%\": 16488.0, \"75%\": 22284.0, \"max\": 28080.0}, {\"Year Acquired\": \"1918-01-01T00:00:00\", \"count\": 6.0, \"mean\": 7100.5, \"std\": 5232.420462845087, \"min\": 168.0, \"25%\": 4916.75, \"50%\": 6522.0, \"75%\": 8470.0, \"max\": 15890.0}, {\"Year Acquired\": \"1919-01-01T00:00:00\", \"count\": 6.0, \"mean\": 10813.0, \"std\": 9682.2401953267, \"min\": 2100.0, \"25%\": 5588.25, \"50%\": 6017.5, \"75%\": 15196.25, \"max\": 27042.0}, {\"Year Acquired\": \"1920-01-01T00:00:00\", \"count\": 38.0, \"mean\": 10580.5, \"std\": 20442.264121640706, \"min\": 100.0, \"25%\": 1575.0, \"50%\": 3282.5, \"75%\": 7585.0, \"max\": 100000.0}, {\"Year Acquired\": \"1921-01-01T00:00:00\", \"count\": 18.0, \"mean\": 10417.222222222223, \"std\": 15577.069049824699, \"min\": 168.0, \"25%\": 1806.0, \"50%\": 5527.0, \"75%\": 11241.75, \"max\": 65876.0}, {\"Year Acquired\": \"1922-01-01T00:00:00\", \"count\": 10.0, \"mean\": 17159.4, \"std\": 24697.70899046666, \"min\": 288.0, \"25%\": 673.5, \"50%\": 1723.0, \"75%\": 39454.5, \"max\": 55764.0}, {\"Year Acquired\": \"1923-01-01T00:00:00\", \"count\": 13.0, \"mean\": 42258.46153846154, \"std\": 116712.13873859006, \"min\": 138.0, \"25%\": 1701.0, \"50%\": 3083.0, \"75%\": 3200.0, \"max\": 420367.0}, {\"Year Acquired\": \"1924-01-01T00:00:00\", \"count\": 8.0, \"mean\": 15792.125, \"std\": 13856.473798373092, \"min\": 3200.0, \"25%\": 9447.5, \"50%\": 12879.0, \"75%\": 15391.0, \"max\": 47493.0}, {\"Year Acquired\": \"1925-01-01T00:00:00\", \"count\": 13.0, \"mean\": 43784.46153846154, \"std\": 70809.25675905115, \"min\": 25.0, \"25%\": 1800.0, \"50%\": 8296.0, \"75%\": 38988.0, \"max\": 203204.0}, {\"Year Acquired\": \"1926-01-01T00:00:00\", \"count\": 17.0, \"mean\": 64058.64705882353, \"std\": 142584.86687624903, \"min\": 108.0, \"25%\": 4635.0, \"50%\": 12624.0, \"75%\": 63440.0, \"max\": 596000.0}, {\"Year Acquired\": \"1927-01-01T00:00:00\", \"count\": 18.0, \"mean\": 35424.72222222222, \"std\": 45566.20191197645, \"min\": 693.0, \"25%\": 5218.75, \"50%\": 17263.5, \"75%\": 49970.5, \"max\": 150659.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"count\": 30.0, \"mean\": 17604.066666666666, \"std\": 20197.49902908489, \"min\": 48.0, \"25%\": 2271.5, \"50%\": 9359.0, \"75%\": 20854.25, \"max\": 69600.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"count\": 37.0, \"mean\": 21414.297297297297, \"std\": 74637.60498638474, \"min\": 10.0, \"25%\": 2500.0, \"50%\": 4386.0, \"75%\": 7900.0, \"max\": 450000.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"count\": 101.0, \"mean\": 8335.336633663366, \"std\": 14198.32314062279, \"min\": 50.0, \"25%\": 800.0, \"50%\": 2333.0, \"75%\": 10548.0, \"max\": 73856.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"count\": 29.0, \"mean\": 35125.1724137931, \"std\": 71166.494532223, \"min\": 388.0, \"25%\": 1950.0, \"50%\": 3025.0, \"75%\": 15220.0, \"max\": 299772.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"count\": 60.0, \"mean\": 6901.216666666666, \"std\": 16106.379981386322, \"min\": 25.0, \"25%\": 325.0, \"50%\": 1060.0, \"75%\": 5418.0, \"max\": 90200.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"count\": 9.0, \"mean\": 7662.555555555556, \"std\": 8360.394026466563, \"min\": 300.0, \"25%\": 2581.0, \"50%\": 3240.0, \"75%\": 12000.0, \"max\": 26110.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"count\": 13.0, \"mean\": 13542.23076923077, \"std\": 20302.343748747524, \"min\": 282.0, \"25%\": 282.0, \"50%\": 1155.0, \"75%\": 12473.0, \"max\": 58305.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"count\": 214.0, \"mean\": 3236.121495327103, \"std\": 11348.703456140016, \"min\": 30.0, \"25%\": 228.0, \"50%\": 239.0, \"75%\": 800.0, \"max\": 80000.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"count\": 60.0, \"mean\": 11056.666666666666, \"std\": 14641.102723898613, \"min\": 70.0, \"25%\": 900.0, \"50%\": 5437.0, \"75%\": 16126.75, \"max\": 76228.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"count\": 52.0, \"mean\": 17813.384615384617, \"std\": 35813.398188526524, \"min\": 130.0, \"25%\": 2004.75, \"50%\": 12414.0, \"75%\": 17836.5, \"max\": 254636.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"count\": 32.0, \"mean\": 34791.28125, \"std\": 42049.79960769586, \"min\": 48.0, \"25%\": 2503.25, \"50%\": 26928.5, \"75%\": 33219.75, \"max\": 134450.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"count\": 30.0, \"mean\": 11719.1, \"std\": 21553.732876712787, \"min\": 224.0, \"25%\": 1898.25, \"50%\": 3816.5, \"75%\": 10883.5, \"max\": 109393.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"count\": 67.0, \"mean\": 19286.567164179105, \"std\": 52759.11072613758, \"min\": 30.0, \"25%\": 795.0, \"50%\": 2656.0, \"75%\": 13242.0, \"max\": 341100.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"count\": 27.0, \"mean\": 12807.777777777777, \"std\": 20989.624296365193, \"min\": 100.0, \"25%\": 1475.5, \"50%\": 4000.0, \"75%\": 12810.0, \"max\": 88973.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"count\": 25.0, \"mean\": 9722.8, \"std\": 18649.573008963678, \"min\": 122.0, \"25%\": 432.0, \"50%\": 2182.0, \"75%\": 7609.0, \"max\": 71274.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"count\": 9.0, \"mean\": 6402.0, \"std\": 7343.639986410009, \"min\": 363.0, \"25%\": 876.0, \"50%\": 1633.0, \"75%\": 11034.0, \"max\": 18626.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", \"count\": 10.0, \"mean\": 4460.2, \"std\": 5603.509947642935, \"min\": 224.0, \"25%\": 660.75, \"50%\": 3260.5, \"75%\": 4830.0, \"max\": 18826.0}, {\"Year Acquired\": \"1945-01-01T00:00:00\", \"count\": 20.0, \"mean\": 9503.95, \"std\": 23119.28846445391, \"min\": 27.0, \"25%\": 937.0, \"50%\": 1707.0, \"75%\": 3299.5, \"max\": 96404.0}, {\"Year Acquired\": \"1946-01-01T00:00:00\", \"count\": 8.0, \"mean\": 7350.0, \"std\": 15332.06515770136, \"min\": 270.0, \"25%\": 925.5, \"50%\": 1650.0, \"75%\": 3400.5, \"max\": 45000.0}, {\"Year Acquired\": \"1947-01-01T00:00:00\", \"count\": 20.0, \"mean\": 8236.5, \"std\": 14075.313893854243, \"min\": 50.0, \"25%\": 525.75, \"50%\": 3080.5, \"75%\": 5557.5, \"max\": 49185.0}, {\"Year Acquired\": \"1948-01-01T00:00:00\", \"count\": 54.0, \"mean\": 7007.537037037037, \"std\": 9656.249597595084, \"min\": 100.0, \"25%\": 863.25, \"50%\": 3205.0, \"75%\": 7376.0, \"max\": 38305.0}, {\"Year Acquired\": \"1949-01-01T00:00:00\", \"count\": 40.0, \"mean\": 22588.95, \"std\": 40756.41390766391, \"min\": 80.0, \"25%\": 1771.0, \"50%\": 7670.5, \"75%\": 17077.5, \"max\": 185214.0}, {\"Year Acquired\": \"1950-01-01T00:00:00\", \"count\": 175.0, \"mean\": 6808.171428571429, \"std\": 23767.581492790137, \"min\": 12.0, \"25%\": 309.0, \"50%\": 1374.0, \"75%\": 4575.0, \"max\": 260237.0}, {\"Year Acquired\": \"1951-01-01T00:00:00\", \"count\": 38.0, \"mean\": 15408.763157894737, \"std\": 32213.845755323822, \"min\": 145.0, \"25%\": 555.0, \"50%\": 2227.5, \"75%\": 8750.25, \"max\": 155636.0}, {\"Year Acquired\": \"1952-01-01T00:00:00\", \"count\": 44.0, \"mean\": 26227.0, \"std\": 50095.752137142794, \"min\": 25.0, \"25%\": 1578.75, \"50%\": 9290.5, \"75%\": 27378.25, \"max\": 280139.0}, {\"Year Acquired\": \"1953-01-01T00:00:00\", \"count\": 65.0, \"mean\": 7561.476923076923, \"std\": 24018.615784238384, \"min\": 120.0, \"25%\": 280.0, \"50%\": 1618.0, \"75%\": 3711.0, \"max\": 164939.0}, {\"Year Acquired\": \"1954-01-01T00:00:00\", \"count\": 73.0, \"mean\": 10464.82191780822, \"std\": 31190.46451389986, \"min\": 40.0, \"25%\": 576.0, \"50%\": 892.0, \"75%\": 4900.0, \"max\": 243593.0}, {\"Year Acquired\": \"1955-01-01T00:00:00\", \"count\": 65.0, \"mean\": 12526.476923076923, \"std\": 57663.39538056934, \"min\": 20.0, \"25%\": 350.0, \"50%\": 1469.0, \"75%\": 5220.0, \"max\": 452523.0}, {\"Year Acquired\": \"1956-01-01T00:00:00\", \"count\": 54.0, \"mean\": 21482.12962962963, \"std\": 54267.8608817502, \"min\": 132.0, \"25%\": 2382.0, \"50%\": 4423.0, \"75%\": 13901.75, \"max\": 331541.0}, {\"Year Acquired\": \"1957-01-01T00:00:00\", \"count\": 56.0, \"mean\": 16544.303571428572, \"std\": 26266.414561647933, \"min\": 40.0, \"25%\": 883.5, \"50%\": 5928.0, \"75%\": 20059.5, \"max\": 119500.0}, {\"Year Acquired\": \"1958-01-01T00:00:00\", \"count\": 92.0, \"mean\": 10273.108695652174, \"std\": 25633.219600490233, \"min\": 12.0, \"25%\": 560.0, \"50%\": 2400.0, \"75%\": 8043.0, \"max\": 190977.0}, {\"Year Acquired\": \"1959-01-01T00:00:00\", \"count\": 63.0, \"mean\": 23393.539682539682, \"std\": 54551.838832383706, \"min\": 20.0, \"25%\": 2442.0, \"50%\": 6000.0, \"75%\": 16933.5, \"max\": 344652.0}, {\"Year Acquired\": \"1960-01-01T00:00:00\", \"count\": 141.0, \"mean\": 6770.992907801418, \"std\": 30578.953011016405, \"min\": 9.0, \"25%\": 288.0, \"50%\": 984.0, \"75%\": 2912.0, \"max\": 323525.0}, {\"Year Acquired\": \"1961-01-01T00:00:00\", \"count\": 51.0, \"mean\": 16320.313725490196, \"std\": 33994.95869771881, \"min\": 25.0, \"25%\": 727.5, \"50%\": 2800.0, \"75%\": 8354.0, \"max\": 183750.0}, {\"Year Acquired\": \"1962-01-01T00:00:00\", \"count\": 72.0, \"mean\": 17826.76388888889, \"std\": 40203.09748997628, \"min\": 12.0, \"25%\": 1279.5, \"50%\": 3239.5, \"75%\": 12446.5, \"max\": 252320.0}, {\"Year Acquired\": \"1963-01-01T00:00:00\", \"count\": 113.0, \"mean\": 21474.672566371682, \"std\": 50204.632323344296, \"min\": 12.0, \"25%\": 1512.0, \"50%\": 3804.0, \"75%\": 19000.0, \"max\": 335918.0}, {\"Year Acquired\": \"1964-01-01T00:00:00\", \"count\": 130.0, \"mean\": 19322.992307692308, \"std\": 36597.21245399766, \"min\": 20.0, \"25%\": 600.0, \"50%\": 2632.0, \"75%\": 17667.0, \"max\": 185880.0}, {\"Year Acquired\": \"1965-01-01T00:00:00\", \"count\": 173.0, \"mean\": 24489.323699421966, \"std\": 53535.174160169925, \"min\": 20.0, \"25%\": 1456.0, \"50%\": 4200.0, \"75%\": 23120.0, \"max\": 460546.0}, {\"Year Acquired\": \"1966-01-01T00:00:00\", \"count\": 77.0, \"mean\": 28220.12987012987, \"std\": 45177.83189252476, \"min\": 16.0, \"25%\": 2048.0, \"50%\": 5863.0, \"75%\": 36075.0, \"max\": 224843.0}, {\"Year Acquired\": \"1967-01-01T00:00:00\", \"count\": 117.0, \"mean\": 20335.1452991453, \"std\": 34592.454321781915, \"min\": 12.0, \"25%\": 1800.0, \"50%\": 8349.0, \"75%\": 18490.0, \"max\": 228083.0}, {\"Year Acquired\": \"1968-01-01T00:00:00\", \"count\": 123.0, \"mean\": 13546.325203252032, \"std\": 40273.1453669295, \"min\": 20.0, \"25%\": 955.0, \"50%\": 2400.0, \"75%\": 7196.0, \"max\": 277091.0}, {\"Year Acquired\": \"1969-01-01T00:00:00\", \"count\": 62.0, \"mean\": 35578.596774193546, \"std\": 82299.22748725335, \"min\": 25.0, \"25%\": 589.5, \"50%\": 4456.0, \"75%\": 13613.75, \"max\": 456722.0}, {\"Year Acquired\": \"1970-01-01T00:00:00\", \"count\": 216.0, \"mean\": 9183.99537037037, \"std\": 28057.240951477765, \"min\": 18.0, \"25%\": 240.0, \"50%\": 889.0, \"75%\": 4380.5, \"max\": 226525.0}, {\"Year Acquired\": \"1971-01-01T00:00:00\", \"count\": 109.0, \"mean\": 23629.577981651375, \"std\": 58685.71346703613, \"min\": 124.0, \"25%\": 1437.0, \"50%\": 5760.0, \"75%\": 20303.0, \"max\": 500000.0}, {\"Year Acquired\": \"1972-01-01T00:00:00\", \"count\": 121.0, \"mean\": 15613.01652892562, \"std\": 48993.93354997867, \"min\": 16.0, \"25%\": 144.0, \"50%\": 1280.0, \"75%\": 5353.0, \"max\": 347981.0}, {\"Year Acquired\": \"1973-01-01T00:00:00\", \"count\": 125.0, \"mean\": 9745.432, \"std\": 26849.922143617525, \"min\": 24.0, \"25%\": 1800.0, \"50%\": 2920.0, \"75%\": 3040.0, \"max\": 185458.0}, {\"Year Acquired\": \"1974-01-01T00:00:00\", \"count\": 192.0, \"mean\": 4999.770833333333, \"std\": 22745.999592577424, \"min\": 16.0, \"25%\": 36.0, \"50%\": 1680.0, \"75%\": 2800.0, \"max\": 277831.0}, {\"Year Acquired\": \"1975-01-01T00:00:00\", \"count\": 238.0, \"mean\": 5861.399159663865, \"std\": 16332.917613982725, \"min\": 16.0, \"25%\": 640.0, \"50%\": 2729.5, \"75%\": 3750.0, \"max\": 160305.0}, {\"Year Acquired\": \"1976-01-01T00:00:00\", \"count\": 139.0, \"mean\": 10166.84892086331, \"std\": 37905.41062711686, \"min\": 16.0, \"25%\": 200.0, \"50%\": 1120.0, \"75%\": 3600.0, \"max\": 298474.0}, {\"Year Acquired\": \"1977-01-01T00:00:00\", \"count\": 98.0, \"mean\": 12004.65306122449, \"std\": 75215.12199048368, \"min\": 18.0, \"25%\": 42.0, \"50%\": 349.5, \"75%\": 1734.0, \"max\": 671416.0}, {\"Year Acquired\": \"1978-01-01T00:00:00\", \"count\": 79.0, \"mean\": 12148.658227848102, \"std\": 30707.55389021007, \"min\": 48.0, \"25%\": 534.0, \"50%\": 1440.0, \"75%\": 6804.0, \"max\": 144534.0}, {\"Year Acquired\": \"1979-01-01T00:00:00\", \"count\": 116.0, \"mean\": 3286.043103448276, \"std\": 9702.435457941334, \"min\": 12.0, \"25%\": 150.0, \"50%\": 460.5, \"75%\": 2220.0, \"max\": 70995.0}, {\"Year Acquired\": \"1980-01-01T00:00:00\", \"count\": 136.0, \"mean\": 3040.25, \"std\": 9626.164334192976, \"min\": 12.0, \"25%\": 120.0, \"50%\": 310.0, \"75%\": 1800.0, \"max\": 82247.0}, {\"Year Acquired\": \"1981-01-01T00:00:00\", \"count\": 175.0, \"mean\": 10051.891428571429, \"std\": 26853.691353624563, \"min\": 20.0, \"25%\": 432.0, \"50%\": 3450.0, \"75%\": 8895.0, \"max\": 216283.0}, {\"Year Acquired\": \"1982-01-01T00:00:00\", \"count\": 80.0, \"mean\": 10162.3875, \"std\": 34968.08857037605, \"min\": 20.0, \"25%\": 400.0, \"50%\": 1000.0, \"75%\": 4364.0, \"max\": 258516.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"count\": 56.0, \"mean\": 12152.964285714286, \"std\": 26712.921492970592, \"min\": 25.0, \"25%\": 234.0, \"50%\": 900.0, \"75%\": 12147.0, \"max\": 147000.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"count\": 137.0, \"mean\": 14252.21897810219, \"std\": 78602.29920130267, \"min\": 18.0, \"25%\": 192.0, \"50%\": 1100.0, \"75%\": 10160.0, \"max\": 913236.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"count\": 147.0, \"mean\": 13685.251700680272, \"std\": 99310.80973863353, \"min\": 20.0, \"25%\": 240.0, \"50%\": 805.0, \"75%\": 4350.0, \"max\": 1200000.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"count\": 169.0, \"mean\": 5693.7692307692305, \"std\": 14956.371277342447, \"min\": 12.0, \"25%\": 190.0, \"50%\": 896.0, \"75%\": 3000.0, \"max\": 101614.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"count\": 159.0, \"mean\": 8526.4213836478, \"std\": 31069.05988367671, \"min\": 18.0, \"25%\": 104.0, \"50%\": 1128.0, \"75%\": 4774.0, \"max\": 344228.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"count\": 135.0, \"mean\": 3601.651851851852, \"std\": 8764.455069282427, \"min\": 18.0, \"25%\": 220.0, \"50%\": 900.0, \"75%\": 3156.0, \"max\": 75000.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"count\": 192.0, \"mean\": 11383.854166666666, \"std\": 36610.12461855261, \"min\": 16.0, \"25%\": 144.0, \"50%\": 1584.5, \"75%\": 5334.0, \"max\": 443865.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"count\": 182.0, \"mean\": 12137.626373626374, \"std\": 30761.23202299185, \"min\": 36.0, \"25%\": 183.5, \"50%\": 1810.0, \"75%\": 13194.0, \"max\": 226062.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"count\": 99.0, \"mean\": 16705.52525252525, \"std\": 81556.1192773322, \"min\": 18.0, \"25%\": 544.0, \"50%\": 1728.0, \"75%\": 5139.0, \"max\": 779732.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"count\": 110.0, \"mean\": 8187.363636363636, \"std\": 18316.35315337178, \"min\": 20.0, \"25%\": 360.0, \"50%\": 1818.0, \"75%\": 4710.0, \"max\": 119735.0}, {\"Year Acquired\": \"1993-01-01T00:00:00\", \"count\": 91.0, \"mean\": 3868.1098901098903, \"std\": 7280.909893459668, \"min\": 18.0, \"25%\": 90.0, \"50%\": 1050.0, \"75%\": 4223.0, \"max\": 40000.0}, {\"Year Acquired\": \"1994-01-01T00:00:00\", \"count\": 107.0, \"mean\": 4071.5607476635514, \"std\": 8359.039006761357, \"min\": 36.0, \"25%\": 560.0, \"50%\": 1568.0, \"75%\": 3936.0, \"max\": 49275.0}, {\"Year Acquired\": \"1995-01-01T00:00:00\", \"count\": 122.0, \"mean\": 7191.770491803279, \"std\": 17967.955431633607, \"min\": 64.0, \"25%\": 309.0, \"50%\": 1920.0, \"75%\": 4815.0, \"max\": 119700.0}, {\"Year Acquired\": \"1996-01-01T00:00:00\", \"count\": 137.0, \"mean\": 9865.627737226278, \"std\": 33201.52837995283, \"min\": 20.0, \"25%\": 144.0, \"50%\": 1176.0, \"75%\": 4032.0, \"max\": 242165.0}, {\"Year Acquired\": \"1997-01-01T00:00:00\", \"count\": 108.0, \"mean\": 10283.925925925925, \"std\": 22768.56624831277, \"min\": 24.0, \"25%\": 224.75, \"50%\": 1825.0, \"75%\": 4652.25, \"max\": 125000.0}, {\"Year Acquired\": \"1998-01-01T00:00:00\", \"count\": 124.0, \"mean\": 5898.3387096774195, \"std\": 14060.043460529749, \"min\": 25.0, \"25%\": 286.0, \"50%\": 847.5, \"75%\": 4299.0, \"max\": 116030.0}, {\"Year Acquired\": \"1999-01-01T00:00:00\", \"count\": 151.0, \"mean\": 2413.3576158940396, \"std\": 5231.4449824681915, \"min\": 30.0, \"25%\": 144.0, \"50%\": 384.0, \"75%\": 2104.0, \"max\": 45000.0}, {\"Year Acquired\": \"2000-01-01T00:00:00\", \"count\": 357.0, \"mean\": 3498.002801120448, \"std\": 11276.816349499064, \"min\": 24.0, \"25%\": 144.0, \"50%\": 234.0, \"75%\": 1584.0, \"max\": 131835.0}, {\"Year Acquired\": \"2001-01-01T00:00:00\", \"count\": 168.0, \"mean\": 7916.392857142857, \"std\": 29596.44608359036, \"min\": 64.0, \"25%\": 144.0, \"50%\": 313.0, \"75%\": 2401.5, \"max\": 307288.0}, {\"Year Acquired\": \"2002-01-01T00:00:00\", \"count\": 116.0, \"mean\": 8931.98275862069, \"std\": 20494.191820667347, \"min\": 80.0, \"25%\": 332.0, \"50%\": 1300.0, \"75%\": 6300.0, \"max\": 140000.0}, {\"Year Acquired\": \"2003-01-01T00:00:00\", \"count\": 104.0, \"mean\": 10015.663461538461, \"std\": 37322.69734282202, \"min\": 20.0, \"25%\": 144.0, \"50%\": 180.0, \"75%\": 2456.0, \"max\": 318437.0}, {\"Year Acquired\": \"2004-01-01T00:00:00\", \"count\": 79.0, \"mean\": 7281.658227848101, \"std\": 24762.442250873573, \"min\": 70.0, \"25%\": 144.0, \"50%\": 144.0, \"75%\": 4052.5, \"max\": 155174.0}, {\"Year Acquired\": \"2005-01-01T00:00:00\", \"count\": 75.0, \"mean\": 19925.48, \"std\": 56811.500047123605, \"min\": 60.0, \"25%\": 144.0, \"50%\": 288.0, \"75%\": 3036.0, \"max\": 335247.0}, {\"Year Acquired\": \"2006-01-01T00:00:00\", \"count\": 193.0, \"mean\": 3221.295336787565, \"std\": 16471.966229616104, \"min\": 36.0, \"25%\": 75.0, \"50%\": 75.0, \"75%\": 700.0, \"max\": 180000.0}, {\"Year Acquired\": \"2007-01-01T00:00:00\", \"count\": 42.0, \"mean\": 23703.0, \"std\": 47710.47411310813, \"min\": 20.0, \"25%\": 501.75, \"50%\": 2460.0, \"75%\": 10833.0, \"max\": 202759.0}, {\"Year Acquired\": \"2008-01-01T00:00:00\", \"count\": 11.0, \"mean\": 14565.727272727272, \"std\": 43181.082883806666, \"min\": 93.0, \"25%\": 147.0, \"50%\": 700.0, \"75%\": 2437.5, \"max\": 144580.0}, {\"Year Acquired\": \"2009-01-01T00:00:00\", \"count\": 20.0, \"mean\": 12986.2, \"std\": 25445.14786462503, \"min\": 20.0, \"25%\": 466.5, \"50%\": 2109.5, \"75%\": 9186.5, \"max\": 96000.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"count\": 22.0, \"mean\": 17214.772727272728, \"std\": 34147.04657511438, \"min\": 24.0, \"25%\": 495.0, \"50%\": 4000.0, \"75%\": 10937.75, \"max\": 148183.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"count\": 23.0, \"mean\": 6650.130434782609, \"std\": 15220.376605973586, \"min\": 24.0, \"25%\": 144.0, \"50%\": 1386.0, \"75%\": 4036.0, \"max\": 64000.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"count\": 23.0, \"mean\": 10874.478260869566, \"std\": 29866.02269967049, \"min\": 100.0, \"25%\": 850.0, \"50%\": 2464.0, \"75%\": 4670.0, \"max\": 136000.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"count\": 8.0, \"mean\": 48935.625, \"std\": 84820.0285713185, \"min\": 144.0, \"25%\": 144.0, \"50%\": 2673.0, \"75%\": 54398.5, \"max\": 230665.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"count\": 33.0, \"mean\": 20130.242424242424, \"std\": 25152.687037161533, \"min\": 10.0, \"25%\": 3200.0, \"50%\": 13387.0, \"75%\": 23040.0, \"max\": 94830.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"count\": 20.0, \"mean\": 15254.65, \"std\": 29153.08528996004, \"min\": 144.0, \"25%\": 696.0, \"50%\": 3152.0, \"75%\": 10590.25, \"max\": 105000.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"count\": 10.0, \"mean\": 30483.9, \"std\": 61864.18049144252, \"min\": 1152.0, \"25%\": 2464.0, \"50%\": 3352.5, \"75%\": 3793.0, \"max\": 184000.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"count\": 1.0, \"mean\": 6720.0, \"std\": null, \"min\": 6720.0, \"25%\": 6720.0, \"50%\": 6720.0, \"75%\": 6720.0, \"max\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"count\": 4.0, \"mean\": 4290.0, \"std\": 5153.644341628553, \"min\": 1455.0, \"25%\": 1455.0, \"50%\": 1852.5, \"75%\": 4687.5, \"max\": 12000.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"count\": 2.0, \"mean\": 760.0, \"std\": 0.0, \"min\": 760.0, \"25%\": 760.0, \"50%\": 760.0, \"75%\": 760.0, \"max\": 760.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lines = alt.Chart(stats.reset_index()).mark_line().encode(\n",
    "    alt.X(\"Year Acquired:T\"),\n",
    "    #alt.Y(\"max:Q\")\n",
    ").properties(\n",
    "    width=600,\n",
    "    height=100\n",
    ")\n",
    "\n",
    "lines = alt.layer(\n",
    "    lines.mark_line(color='blue').encode(y='max:Q'),\n",
    "    lines.mark_line(color='orange').encode(y='min:Q')\n",
    ")\n",
    "\n",
    "\n",
    "lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "70592c52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-95d7a48314b84486be031f84a976212e.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-95d7a48314b84486be031f84a976212e.vega-embed details,\n",
       "  #altair-viz-95d7a48314b84486be031f84a976212e.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-95d7a48314b84486be031f84a976212e\"></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-95d7a48314b84486be031f84a976212e\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-95d7a48314b84486be031f84a976212e\");\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: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"line\", \"color\": \"blue\"}, \"encoding\": {\"x\": {\"field\": \"Year Acquired\", \"type\": \"temporal\"}, \"y\": {\"field\": \"max\", \"scale\": {\"type\": \"log\"}, \"type\": \"quantitative\"}}, \"name\": \"view_1\"}, {\"mark\": {\"type\": \"line\", \"color\": \"orange\"}, \"encoding\": {\"x\": {\"field\": \"Year Acquired\", \"type\": \"temporal\"}, \"y\": {\"field\": \"min\", \"scale\": {\"type\": \"log\"}, \"type\": \"quantitative\"}}}], \"data\": {\"name\": \"data-68620f7bbd1b2d72c7b904f6b1c41376\"}, \"height\": 100, \"params\": [{\"name\": \"param_1\", \"select\": {\"type\": \"interval\", \"encodings\": [\"x\", \"y\"]}, \"bind\": \"scales\", \"views\": [\"view_1\"]}], \"width\": 600, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-68620f7bbd1b2d72c7b904f6b1c41376\": [{\"Year Acquired\": \"1753-01-01T00:00:00\", \"count\": 1.0, \"mean\": 1200.0, \"std\": null, \"min\": 1200.0, \"25%\": 1200.0, \"50%\": 1200.0, \"75%\": 1200.0, \"max\": 1200.0}, {\"Year Acquired\": \"1802-01-01T00:00:00\", \"count\": 2.0, \"mean\": 2220.0, \"std\": 1943.1294347006326, \"min\": 846.0, \"25%\": 1533.0, \"50%\": 2220.0, \"75%\": 2907.0, \"max\": 3594.0}, {\"Year Acquired\": \"1810-01-01T00:00:00\", \"count\": 3.0, \"mean\": 1344.3333333333333, \"std\": 1809.9459476275345, \"min\": 216.0, \"25%\": 300.5, \"50%\": 385.0, \"75%\": 1908.5, \"max\": 3432.0}, {\"Year Acquired\": \"1832-01-01T00:00:00\", \"count\": 1.0, \"mean\": 120000.0, \"std\": null, \"min\": 120000.0, \"25%\": 120000.0, \"50%\": 120000.0, \"75%\": 120000.0, \"max\": 120000.0}, {\"Year Acquired\": \"1837-01-01T00:00:00\", \"count\": 1.0, \"mean\": 10302.0, \"std\": null, \"min\": 10302.0, \"25%\": 10302.0, \"50%\": 10302.0, \"75%\": 10302.0, \"max\": 10302.0}, {\"Year Acquired\": \"1838-01-01T00:00:00\", \"count\": 1.0, \"mean\": 2010.0, \"std\": null, \"min\": 2010.0, \"25%\": 2010.0, \"50%\": 2010.0, \"75%\": 2010.0, \"max\": 2010.0}, {\"Year Acquired\": \"1839-01-01T00:00:00\", \"count\": 1.0, \"mean\": 11752.0, \"std\": null, \"min\": 11752.0, \"25%\": 11752.0, \"50%\": 11752.0, \"75%\": 11752.0, \"max\": 11752.0}, {\"Year Acquired\": \"1840-01-01T00:00:00\", \"count\": 8.0, \"mean\": 4614.75, \"std\": 6890.521496955074, \"min\": 608.0, \"25%\": 750.0, \"50%\": 1492.0, \"75%\": 4218.75, \"max\": 20221.0}, {\"Year Acquired\": \"1841-01-01T00:00:00\", \"count\": 1.0, \"mean\": 3256.0, \"std\": null, \"min\": 3256.0, \"25%\": 3256.0, \"50%\": 3256.0, \"75%\": 3256.0, \"max\": 3256.0}, {\"Year Acquired\": \"1843-01-01T00:00:00\", \"count\": 1.0, \"mean\": 900.0, \"std\": null, \"min\": 900.0, \"25%\": 900.0, \"50%\": 900.0, \"75%\": 900.0, \"max\": 900.0}, {\"Year Acquired\": \"1844-01-01T00:00:00\", \"count\": 1.0, \"mean\": 4088.0, \"std\": null, \"min\": 4088.0, \"25%\": 4088.0, \"50%\": 4088.0, \"75%\": 4088.0, \"max\": 4088.0}, {\"Year Acquired\": \"1845-01-01T00:00:00\", \"count\": 3.0, \"mean\": 21948.666666666668, \"std\": 31203.93836254221, \"min\": 3616.0, \"25%\": 3934.0, \"50%\": 4252.0, \"75%\": 31115.0, \"max\": 57978.0}, {\"Year Acquired\": \"1848-01-01T00:00:00\", \"count\": 4.0, \"mean\": 5323.0, \"std\": 5095.809454836395, \"min\": 1644.0, \"25%\": 2079.0, \"50%\": 3474.5, \"75%\": 6718.5, \"max\": 12699.0}, {\"Year Acquired\": \"1850-01-01T00:00:00\", \"count\": 2.0, \"mean\": 1133.5, \"std\": 895.9042917633557, \"min\": 500.0, \"25%\": 816.75, \"50%\": 1133.5, \"75%\": 1450.25, \"max\": 1767.0}, {\"Year Acquired\": \"1853-01-01T00:00:00\", \"count\": 1.0, \"mean\": 255000.0, \"std\": null, \"min\": 255000.0, \"25%\": 255000.0, \"50%\": 255000.0, \"75%\": 255000.0, \"max\": 255000.0}, {\"Year Acquired\": \"1854-01-01T00:00:00\", \"count\": 1.0, \"mean\": 2140.0, \"std\": null, \"min\": 2140.0, \"25%\": 2140.0, \"50%\": 2140.0, \"75%\": 2140.0, \"max\": 2140.0}, {\"Year Acquired\": \"1855-01-01T00:00:00\", \"count\": 6.0, \"mean\": 11025.666666666666, \"std\": 16923.776808581075, \"min\": 1118.0, \"25%\": 2015.0, \"50%\": 5476.0, \"75%\": 7446.0, \"max\": 45120.0}, {\"Year Acquired\": \"1856-01-01T00:00:00\", \"count\": 1.0, \"mean\": 750.0, \"std\": null, \"min\": 750.0, \"25%\": 750.0, \"50%\": 750.0, \"75%\": 750.0, \"max\": 750.0}, {\"Year Acquired\": \"1857-01-01T00:00:00\", \"count\": 2.0, \"mean\": 9062.0, \"std\": 8572.962615105702, \"min\": 3000.0, \"25%\": 6031.0, \"50%\": 9062.0, \"75%\": 12093.0, \"max\": 15124.0}, {\"Year Acquired\": \"1858-01-01T00:00:00\", \"count\": 2.0, \"mean\": 11183.5, \"std\": 5397.346060796917, \"min\": 7367.0, \"25%\": 9275.25, \"50%\": 11183.5, \"75%\": 13091.75, \"max\": 15000.0}, {\"Year Acquired\": \"1859-01-01T00:00:00\", \"count\": 1.0, \"mean\": 4847.0, \"std\": null, \"min\": 4847.0, \"25%\": 4847.0, \"50%\": 4847.0, \"75%\": 4847.0, \"max\": 4847.0}, {\"Year Acquired\": \"1860-01-01T00:00:00\", \"count\": 6.0, \"mean\": 4569.5, \"std\": 7751.7325482759015, \"min\": 36.0, \"25%\": 527.25, \"50%\": 1606.5, \"75%\": 3282.0, \"max\": 20160.0}, {\"Year Acquired\": \"1863-01-01T00:00:00\", \"count\": 1.0, \"mean\": 15795.0, \"std\": null, \"min\": 15795.0, \"25%\": 15795.0, \"50%\": 15795.0, \"75%\": 15795.0, \"max\": 15795.0}, {\"Year Acquired\": \"1865-01-01T00:00:00\", \"count\": 9.0, \"mean\": 24832.666666666668, \"std\": 32196.90740583635, \"min\": 225.0, \"25%\": 225.0, \"50%\": 9540.0, \"75%\": 66150.0, \"max\": 68040.0}, {\"Year Acquired\": \"1867-01-01T00:00:00\", \"count\": 1.0, \"mean\": 2700.0, \"std\": null, \"min\": 2700.0, \"25%\": 2700.0, \"50%\": 2700.0, \"75%\": 2700.0, \"max\": 2700.0}, {\"Year Acquired\": \"1870-01-01T00:00:00\", \"count\": 1.0, \"mean\": 2864.0, \"std\": null, \"min\": 2864.0, \"25%\": 2864.0, \"50%\": 2864.0, \"75%\": 2864.0, \"max\": 2864.0}, {\"Year Acquired\": \"1871-01-01T00:00:00\", \"count\": 5.0, \"mean\": 1280.6, \"std\": 1244.568117862578, \"min\": 290.0, \"25%\": 714.0, \"50%\": 768.0, \"75%\": 1200.0, \"max\": 3431.0}, {\"Year Acquired\": \"1872-01-01T00:00:00\", \"count\": 1.0, \"mean\": 14900.0, \"std\": null, \"min\": 14900.0, \"25%\": 14900.0, \"50%\": 14900.0, \"75%\": 14900.0, \"max\": 14900.0}, {\"Year Acquired\": \"1873-01-01T00:00:00\", \"count\": 1.0, \"mean\": 11000.0, \"std\": null, \"min\": 11000.0, \"25%\": 11000.0, \"50%\": 11000.0, \"75%\": 11000.0, \"max\": 11000.0}, {\"Year Acquired\": \"1874-01-01T00:00:00\", \"count\": 1.0, \"mean\": 6600.0, \"std\": null, \"min\": 6600.0, \"25%\": 6600.0, \"50%\": 6600.0, \"75%\": 6600.0, \"max\": 6600.0}, {\"Year Acquired\": \"1875-01-01T00:00:00\", \"count\": 3.0, \"mean\": 1269.3333333333333, \"std\": 801.8611683660291, \"min\": 400.0, \"25%\": 914.0, \"50%\": 1428.0, \"75%\": 1704.0, \"max\": 1980.0}, {\"Year Acquired\": \"1876-01-01T00:00:00\", \"count\": 5.0, \"mean\": 80856.0, \"std\": 160693.74499338795, \"min\": 1200.0, \"25%\": 6000.0, \"50%\": 7680.0, \"75%\": 21400.0, \"max\": 368000.0}, {\"Year Acquired\": \"1878-01-01T00:00:00\", \"count\": 1.0, \"mean\": 33071.0, \"std\": null, \"min\": 33071.0, \"25%\": 33071.0, \"50%\": 33071.0, \"75%\": 33071.0, \"max\": 33071.0}, {\"Year Acquired\": \"1880-01-01T00:00:00\", \"count\": 8.0, \"mean\": 22479.125, \"std\": 18584.21640945809, \"min\": 1800.0, \"25%\": 3657.75, \"50%\": 25258.5, \"75%\": 32816.75, \"max\": 54118.0}, {\"Year Acquired\": \"1881-01-01T00:00:00\", \"count\": 1.0, \"mean\": 6671.0, \"std\": null, \"min\": 6671.0, \"25%\": 6671.0, \"50%\": 6671.0, \"75%\": 6671.0, \"max\": 6671.0}, {\"Year Acquired\": \"1882-01-01T00:00:00\", \"count\": 2.0, \"mean\": 29633.0, \"std\": 16239.414336730251, \"min\": 18150.0, \"25%\": 23891.5, \"50%\": 29633.0, \"75%\": 35374.5, \"max\": 41116.0}, {\"Year Acquired\": \"1883-01-01T00:00:00\", \"count\": 2.0, \"mean\": 4362.5, \"std\": 5957.374631496663, \"min\": 150.0, \"25%\": 2256.25, \"50%\": 4362.5, \"75%\": 6468.75, \"max\": 8575.0}, {\"Year Acquired\": \"1885-01-01T00:00:00\", \"count\": 4.0, \"mean\": 7539.25, \"std\": 13162.546900834453, \"min\": 184.0, \"25%\": 588.25, \"50%\": 1361.5, \"75%\": 8312.5, \"max\": 27250.0}, {\"Year Acquired\": \"1886-01-01T00:00:00\", \"count\": 13.0, \"mean\": 12951.538461538461, \"std\": 13386.600723704933, \"min\": 50.0, \"25%\": 190.0, \"50%\": 9203.0, \"75%\": 18846.0, \"max\": 44800.0}, {\"Year Acquired\": \"1887-01-01T00:00:00\", \"count\": 4.0, \"mean\": 48705.75, \"std\": 32875.86620785324, \"min\": 15000.0, \"25%\": 25078.5, \"50%\": 46599.0, \"75%\": 70226.25, \"max\": 86625.0}, {\"Year Acquired\": \"1888-01-01T00:00:00\", \"count\": 2.0, \"mean\": 42462.0, \"std\": 19397.353221509373, \"min\": 28746.0, \"25%\": 35604.0, \"50%\": 42462.0, \"75%\": 49320.0, \"max\": 56178.0}, {\"Year Acquired\": \"1890-01-01T00:00:00\", \"count\": 7.0, \"mean\": 12333.42857142857, \"std\": 12204.232078219737, \"min\": 300.0, \"25%\": 1050.0, \"50%\": 9600.0, \"75%\": 23462.5, \"max\": 27409.0}, {\"Year Acquired\": \"1891-01-01T00:00:00\", \"count\": 1.0, \"mean\": 2325.0, \"std\": null, \"min\": 2325.0, \"25%\": 2325.0, \"50%\": 2325.0, \"75%\": 2325.0, \"max\": 2325.0}, {\"Year Acquired\": \"1892-01-01T00:00:00\", \"count\": 3.0, \"mean\": 50493.333333333336, \"std\": 53825.39714050732, \"min\": 4380.0, \"25%\": 20921.0, \"50%\": 37462.0, \"75%\": 73550.0, \"max\": 109638.0}, {\"Year Acquired\": \"1893-01-01T00:00:00\", \"count\": 6.0, \"mean\": 6598.333333333333, \"std\": 4939.713217046782, \"min\": 800.0, \"25%\": 2475.0, \"50%\": 6757.5, \"75%\": 10128.75, \"max\": 12975.0}, {\"Year Acquired\": \"1894-01-01T00:00:00\", \"count\": 1.0, \"mean\": 85000.0, \"std\": null, \"min\": 85000.0, \"25%\": 85000.0, \"50%\": 85000.0, \"75%\": 85000.0, \"max\": 85000.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"count\": 7.0, \"mean\": 32239.571428571428, \"std\": 35308.668821585175, \"min\": 4444.0, \"25%\": 13050.0, \"50%\": 23430.0, \"75%\": 31497.5, \"max\": 108708.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"count\": 6.0, \"mean\": 48360.833333333336, \"std\": 32818.91091073356, \"min\": 13401.0, \"25%\": 19152.75, \"50%\": 48302.0, \"75%\": 70368.25, \"max\": 93000.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"count\": 1.0, \"mean\": 132907.0, \"std\": null, \"min\": 132907.0, \"25%\": 132907.0, \"50%\": 132907.0, \"75%\": 132907.0, \"max\": 132907.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"count\": 2.0, \"mean\": 18380.0, \"std\": 23589.082220383225, \"min\": 1700.0, \"25%\": 10040.0, \"50%\": 18380.0, \"75%\": 26720.0, \"max\": 35060.0}, {\"Year Acquired\": \"1899-01-01T00:00:00\", \"count\": 3.0, \"mean\": 40491.666666666664, \"std\": 9595.529914149261, \"min\": 32229.0, \"25%\": 35229.5, \"50%\": 38230.0, \"75%\": 44623.0, \"max\": 51016.0}, {\"Year Acquired\": \"1900-01-01T00:00:00\", \"count\": 27.0, \"mean\": 12438.333333333334, \"std\": 24407.48622546275, \"min\": 200.0, \"25%\": 1053.5, \"50%\": 2220.0, \"75%\": 7282.0, \"max\": 107660.0}, {\"Year Acquired\": \"1901-01-01T00:00:00\", \"count\": 3.0, \"mean\": 36495.333333333336, \"std\": 44235.87532007628, \"min\": 1450.0, \"25%\": 11643.0, \"50%\": 21836.0, \"75%\": 54018.0, \"max\": 86200.0}, {\"Year Acquired\": \"1902-01-01T00:00:00\", \"count\": 8.0, \"mean\": 33715.625, \"std\": 74910.74220113561, \"min\": 82.0, \"25%\": 274.5, \"50%\": 608.5, \"75%\": 15125.0, \"max\": 214000.0}, {\"Year Acquired\": \"1903-01-01T00:00:00\", \"count\": 6.0, \"mean\": 26764.0, \"std\": 22442.40435425759, \"min\": 10288.0, \"25%\": 15330.5, \"50%\": 20377.0, \"75%\": 23456.25, \"max\": 71411.0}, {\"Year Acquired\": \"1904-01-01T00:00:00\", \"count\": 7.0, \"mean\": 5852.0, \"std\": 5686.738256681065, \"min\": 480.0, \"25%\": 1840.0, \"50%\": 4000.0, \"75%\": 8752.0, \"max\": 15300.0}, {\"Year Acquired\": \"1905-01-01T00:00:00\", \"count\": 13.0, \"mean\": 24068.153846153848, \"std\": 38173.902599040426, \"min\": 150.0, \"25%\": 5910.0, \"50%\": 7500.0, \"75%\": 16086.0, \"max\": 132146.0}, {\"Year Acquired\": \"1906-01-01T00:00:00\", \"count\": 2.0, \"mean\": 10187.0, \"std\": 5038.842922735338, \"min\": 6624.0, \"25%\": 8405.5, \"50%\": 10187.0, \"75%\": 11968.5, \"max\": 13750.0}, {\"Year Acquired\": \"1907-01-01T00:00:00\", \"count\": 9.0, \"mean\": 14809.444444444445, \"std\": 14097.166977012714, \"min\": 2900.0, \"25%\": 5625.0, \"50%\": 9816.0, \"75%\": 15782.0, \"max\": 47656.0}, {\"Year Acquired\": \"1908-01-01T00:00:00\", \"count\": 11.0, \"mean\": 32750.18181818182, \"std\": 30984.242959343646, \"min\": 2682.0, \"25%\": 7677.5, \"50%\": 32146.0, \"75%\": 47762.0, \"max\": 102521.0}, {\"Year Acquired\": \"1909-01-01T00:00:00\", \"count\": 7.0, \"mean\": 42611.857142857145, \"std\": 46199.134419844464, \"min\": 2175.0, \"25%\": 18149.0, \"50%\": 38680.0, \"75%\": 39424.5, \"max\": 142281.0}, {\"Year Acquired\": \"1910-01-01T00:00:00\", \"count\": 22.0, \"mean\": 10518.681818181818, \"std\": 12792.414930382858, \"min\": 150.0, \"25%\": 642.0, \"50%\": 5675.0, \"75%\": 14022.0, \"max\": 45072.0}, {\"Year Acquired\": \"1911-01-01T00:00:00\", \"count\": 8.0, \"mean\": 29715.25, \"std\": 56212.93885307901, \"min\": 160.0, \"25%\": 5261.25, \"50%\": 8981.0, \"75%\": 17153.25, \"max\": 166742.0}, {\"Year Acquired\": \"1912-01-01T00:00:00\", \"count\": 9.0, \"mean\": 46979.11111111111, \"std\": 31165.397067278172, \"min\": 3464.0, \"25%\": 31683.0, \"50%\": 50408.0, \"75%\": 51944.0, \"max\": 100570.0}, {\"Year Acquired\": \"1913-01-01T00:00:00\", \"count\": 17.0, \"mean\": 9335.882352941177, \"std\": 8638.002972926908, \"min\": 1152.0, \"25%\": 5976.0, \"50%\": 5976.0, \"75%\": 6974.0, \"max\": 35415.0}, {\"Year Acquired\": \"1914-01-01T00:00:00\", \"count\": 4.0, \"mean\": 83526.5, \"std\": 133998.1448988505, \"min\": 3288.0, \"25%\": 7689.75, \"50%\": 23812.0, \"75%\": 99648.75, \"max\": 283194.0}, {\"Year Acquired\": \"1915-01-01T00:00:00\", \"count\": 16.0, \"mean\": 33253.1875, \"std\": 36118.06747546856, \"min\": 3736.0, \"25%\": 13754.5, \"50%\": 22300.5, \"75%\": 33683.0, \"max\": 148780.0}, {\"Year Acquired\": \"1916-01-01T00:00:00\", \"count\": 11.0, \"mean\": 19092.090909090908, \"std\": 19720.66584806175, \"min\": 16.0, \"25%\": 2610.0, \"50%\": 17880.0, \"75%\": 28189.5, \"max\": 56120.0}, {\"Year Acquired\": \"1917-01-01T00:00:00\", \"count\": 2.0, \"mean\": 16488.0, \"std\": 16393.563615028917, \"min\": 4896.0, \"25%\": 10692.0, \"50%\": 16488.0, \"75%\": 22284.0, \"max\": 28080.0}, {\"Year Acquired\": \"1918-01-01T00:00:00\", \"count\": 6.0, \"mean\": 7100.5, \"std\": 5232.420462845087, \"min\": 168.0, \"25%\": 4916.75, \"50%\": 6522.0, \"75%\": 8470.0, \"max\": 15890.0}, {\"Year Acquired\": \"1919-01-01T00:00:00\", \"count\": 6.0, \"mean\": 10813.0, \"std\": 9682.2401953267, \"min\": 2100.0, \"25%\": 5588.25, \"50%\": 6017.5, \"75%\": 15196.25, \"max\": 27042.0}, {\"Year Acquired\": \"1920-01-01T00:00:00\", \"count\": 38.0, \"mean\": 10580.5, \"std\": 20442.264121640706, \"min\": 100.0, \"25%\": 1575.0, \"50%\": 3282.5, \"75%\": 7585.0, \"max\": 100000.0}, {\"Year Acquired\": \"1921-01-01T00:00:00\", \"count\": 18.0, \"mean\": 10417.222222222223, \"std\": 15577.069049824699, \"min\": 168.0, \"25%\": 1806.0, \"50%\": 5527.0, \"75%\": 11241.75, \"max\": 65876.0}, {\"Year Acquired\": \"1922-01-01T00:00:00\", \"count\": 10.0, \"mean\": 17159.4, \"std\": 24697.70899046666, \"min\": 288.0, \"25%\": 673.5, \"50%\": 1723.0, \"75%\": 39454.5, \"max\": 55764.0}, {\"Year Acquired\": \"1923-01-01T00:00:00\", \"count\": 13.0, \"mean\": 42258.46153846154, \"std\": 116712.13873859006, \"min\": 138.0, \"25%\": 1701.0, \"50%\": 3083.0, \"75%\": 3200.0, \"max\": 420367.0}, {\"Year Acquired\": \"1924-01-01T00:00:00\", \"count\": 8.0, \"mean\": 15792.125, \"std\": 13856.473798373092, \"min\": 3200.0, \"25%\": 9447.5, \"50%\": 12879.0, \"75%\": 15391.0, \"max\": 47493.0}, {\"Year Acquired\": \"1925-01-01T00:00:00\", \"count\": 13.0, \"mean\": 43784.46153846154, \"std\": 70809.25675905115, \"min\": 25.0, \"25%\": 1800.0, \"50%\": 8296.0, \"75%\": 38988.0, \"max\": 203204.0}, {\"Year Acquired\": \"1926-01-01T00:00:00\", \"count\": 17.0, \"mean\": 64058.64705882353, \"std\": 142584.86687624903, \"min\": 108.0, \"25%\": 4635.0, \"50%\": 12624.0, \"75%\": 63440.0, \"max\": 596000.0}, {\"Year Acquired\": \"1927-01-01T00:00:00\", \"count\": 18.0, \"mean\": 35424.72222222222, \"std\": 45566.20191197645, \"min\": 693.0, \"25%\": 5218.75, \"50%\": 17263.5, \"75%\": 49970.5, \"max\": 150659.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"count\": 30.0, \"mean\": 17604.066666666666, \"std\": 20197.49902908489, \"min\": 48.0, \"25%\": 2271.5, \"50%\": 9359.0, \"75%\": 20854.25, \"max\": 69600.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"count\": 37.0, \"mean\": 21414.297297297297, \"std\": 74637.60498638474, \"min\": 10.0, \"25%\": 2500.0, \"50%\": 4386.0, \"75%\": 7900.0, \"max\": 450000.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"count\": 101.0, \"mean\": 8335.336633663366, \"std\": 14198.32314062279, \"min\": 50.0, \"25%\": 800.0, \"50%\": 2333.0, \"75%\": 10548.0, \"max\": 73856.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"count\": 29.0, \"mean\": 35125.1724137931, \"std\": 71166.494532223, \"min\": 388.0, \"25%\": 1950.0, \"50%\": 3025.0, \"75%\": 15220.0, \"max\": 299772.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"count\": 60.0, \"mean\": 6901.216666666666, \"std\": 16106.379981386322, \"min\": 25.0, \"25%\": 325.0, \"50%\": 1060.0, \"75%\": 5418.0, \"max\": 90200.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"count\": 9.0, \"mean\": 7662.555555555556, \"std\": 8360.394026466563, \"min\": 300.0, \"25%\": 2581.0, \"50%\": 3240.0, \"75%\": 12000.0, \"max\": 26110.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"count\": 13.0, \"mean\": 13542.23076923077, \"std\": 20302.343748747524, \"min\": 282.0, \"25%\": 282.0, \"50%\": 1155.0, \"75%\": 12473.0, \"max\": 58305.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"count\": 214.0, \"mean\": 3236.121495327103, \"std\": 11348.703456140016, \"min\": 30.0, \"25%\": 228.0, \"50%\": 239.0, \"75%\": 800.0, \"max\": 80000.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"count\": 60.0, \"mean\": 11056.666666666666, \"std\": 14641.102723898613, \"min\": 70.0, \"25%\": 900.0, \"50%\": 5437.0, \"75%\": 16126.75, \"max\": 76228.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"count\": 52.0, \"mean\": 17813.384615384617, \"std\": 35813.398188526524, \"min\": 130.0, \"25%\": 2004.75, \"50%\": 12414.0, \"75%\": 17836.5, \"max\": 254636.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"count\": 32.0, \"mean\": 34791.28125, \"std\": 42049.79960769586, \"min\": 48.0, \"25%\": 2503.25, \"50%\": 26928.5, \"75%\": 33219.75, \"max\": 134450.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"count\": 30.0, \"mean\": 11719.1, \"std\": 21553.732876712787, \"min\": 224.0, \"25%\": 1898.25, \"50%\": 3816.5, \"75%\": 10883.5, \"max\": 109393.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"count\": 67.0, \"mean\": 19286.567164179105, \"std\": 52759.11072613758, \"min\": 30.0, \"25%\": 795.0, \"50%\": 2656.0, \"75%\": 13242.0, \"max\": 341100.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"count\": 27.0, \"mean\": 12807.777777777777, \"std\": 20989.624296365193, \"min\": 100.0, \"25%\": 1475.5, \"50%\": 4000.0, \"75%\": 12810.0, \"max\": 88973.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"count\": 25.0, \"mean\": 9722.8, \"std\": 18649.573008963678, \"min\": 122.0, \"25%\": 432.0, \"50%\": 2182.0, \"75%\": 7609.0, \"max\": 71274.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"count\": 9.0, \"mean\": 6402.0, \"std\": 7343.639986410009, \"min\": 363.0, \"25%\": 876.0, \"50%\": 1633.0, \"75%\": 11034.0, \"max\": 18626.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", \"count\": 10.0, \"mean\": 4460.2, \"std\": 5603.509947642935, \"min\": 224.0, \"25%\": 660.75, \"50%\": 3260.5, \"75%\": 4830.0, \"max\": 18826.0}, {\"Year Acquired\": \"1945-01-01T00:00:00\", \"count\": 20.0, \"mean\": 9503.95, \"std\": 23119.28846445391, \"min\": 27.0, \"25%\": 937.0, \"50%\": 1707.0, \"75%\": 3299.5, \"max\": 96404.0}, {\"Year Acquired\": \"1946-01-01T00:00:00\", \"count\": 8.0, \"mean\": 7350.0, \"std\": 15332.06515770136, \"min\": 270.0, \"25%\": 925.5, \"50%\": 1650.0, \"75%\": 3400.5, \"max\": 45000.0}, {\"Year Acquired\": \"1947-01-01T00:00:00\", \"count\": 20.0, \"mean\": 8236.5, \"std\": 14075.313893854243, \"min\": 50.0, \"25%\": 525.75, \"50%\": 3080.5, \"75%\": 5557.5, \"max\": 49185.0}, {\"Year Acquired\": \"1948-01-01T00:00:00\", \"count\": 54.0, \"mean\": 7007.537037037037, \"std\": 9656.249597595084, \"min\": 100.0, \"25%\": 863.25, \"50%\": 3205.0, \"75%\": 7376.0, \"max\": 38305.0}, {\"Year Acquired\": \"1949-01-01T00:00:00\", \"count\": 40.0, \"mean\": 22588.95, \"std\": 40756.41390766391, \"min\": 80.0, \"25%\": 1771.0, \"50%\": 7670.5, \"75%\": 17077.5, \"max\": 185214.0}, {\"Year Acquired\": \"1950-01-01T00:00:00\", \"count\": 175.0, \"mean\": 6808.171428571429, \"std\": 23767.581492790137, \"min\": 12.0, \"25%\": 309.0, \"50%\": 1374.0, \"75%\": 4575.0, \"max\": 260237.0}, {\"Year Acquired\": \"1951-01-01T00:00:00\", \"count\": 38.0, \"mean\": 15408.763157894737, \"std\": 32213.845755323822, \"min\": 145.0, \"25%\": 555.0, \"50%\": 2227.5, \"75%\": 8750.25, \"max\": 155636.0}, {\"Year Acquired\": \"1952-01-01T00:00:00\", \"count\": 44.0, \"mean\": 26227.0, \"std\": 50095.752137142794, \"min\": 25.0, \"25%\": 1578.75, \"50%\": 9290.5, \"75%\": 27378.25, \"max\": 280139.0}, {\"Year Acquired\": \"1953-01-01T00:00:00\", \"count\": 65.0, \"mean\": 7561.476923076923, \"std\": 24018.615784238384, \"min\": 120.0, \"25%\": 280.0, \"50%\": 1618.0, \"75%\": 3711.0, \"max\": 164939.0}, {\"Year Acquired\": \"1954-01-01T00:00:00\", \"count\": 73.0, \"mean\": 10464.82191780822, \"std\": 31190.46451389986, \"min\": 40.0, \"25%\": 576.0, \"50%\": 892.0, \"75%\": 4900.0, \"max\": 243593.0}, {\"Year Acquired\": \"1955-01-01T00:00:00\", \"count\": 65.0, \"mean\": 12526.476923076923, \"std\": 57663.39538056934, \"min\": 20.0, \"25%\": 350.0, \"50%\": 1469.0, \"75%\": 5220.0, \"max\": 452523.0}, {\"Year Acquired\": \"1956-01-01T00:00:00\", \"count\": 54.0, \"mean\": 21482.12962962963, \"std\": 54267.8608817502, \"min\": 132.0, \"25%\": 2382.0, \"50%\": 4423.0, \"75%\": 13901.75, \"max\": 331541.0}, {\"Year Acquired\": \"1957-01-01T00:00:00\", \"count\": 56.0, \"mean\": 16544.303571428572, \"std\": 26266.414561647933, \"min\": 40.0, \"25%\": 883.5, \"50%\": 5928.0, \"75%\": 20059.5, \"max\": 119500.0}, {\"Year Acquired\": \"1958-01-01T00:00:00\", \"count\": 92.0, \"mean\": 10273.108695652174, \"std\": 25633.219600490233, \"min\": 12.0, \"25%\": 560.0, \"50%\": 2400.0, \"75%\": 8043.0, \"max\": 190977.0}, {\"Year Acquired\": \"1959-01-01T00:00:00\", \"count\": 63.0, \"mean\": 23393.539682539682, \"std\": 54551.838832383706, \"min\": 20.0, \"25%\": 2442.0, \"50%\": 6000.0, \"75%\": 16933.5, \"max\": 344652.0}, {\"Year Acquired\": \"1960-01-01T00:00:00\", \"count\": 141.0, \"mean\": 6770.992907801418, \"std\": 30578.953011016405, \"min\": 9.0, \"25%\": 288.0, \"50%\": 984.0, \"75%\": 2912.0, \"max\": 323525.0}, {\"Year Acquired\": \"1961-01-01T00:00:00\", \"count\": 51.0, \"mean\": 16320.313725490196, \"std\": 33994.95869771881, \"min\": 25.0, \"25%\": 727.5, \"50%\": 2800.0, \"75%\": 8354.0, \"max\": 183750.0}, {\"Year Acquired\": \"1962-01-01T00:00:00\", \"count\": 72.0, \"mean\": 17826.76388888889, \"std\": 40203.09748997628, \"min\": 12.0, \"25%\": 1279.5, \"50%\": 3239.5, \"75%\": 12446.5, \"max\": 252320.0}, {\"Year Acquired\": \"1963-01-01T00:00:00\", \"count\": 113.0, \"mean\": 21474.672566371682, \"std\": 50204.632323344296, \"min\": 12.0, \"25%\": 1512.0, \"50%\": 3804.0, \"75%\": 19000.0, \"max\": 335918.0}, {\"Year Acquired\": \"1964-01-01T00:00:00\", \"count\": 130.0, \"mean\": 19322.992307692308, \"std\": 36597.21245399766, \"min\": 20.0, \"25%\": 600.0, \"50%\": 2632.0, \"75%\": 17667.0, \"max\": 185880.0}, {\"Year Acquired\": \"1965-01-01T00:00:00\", \"count\": 173.0, \"mean\": 24489.323699421966, \"std\": 53535.174160169925, \"min\": 20.0, \"25%\": 1456.0, \"50%\": 4200.0, \"75%\": 23120.0, \"max\": 460546.0}, {\"Year Acquired\": \"1966-01-01T00:00:00\", \"count\": 77.0, \"mean\": 28220.12987012987, \"std\": 45177.83189252476, \"min\": 16.0, \"25%\": 2048.0, \"50%\": 5863.0, \"75%\": 36075.0, \"max\": 224843.0}, {\"Year Acquired\": \"1967-01-01T00:00:00\", \"count\": 117.0, \"mean\": 20335.1452991453, \"std\": 34592.454321781915, \"min\": 12.0, \"25%\": 1800.0, \"50%\": 8349.0, \"75%\": 18490.0, \"max\": 228083.0}, {\"Year Acquired\": \"1968-01-01T00:00:00\", \"count\": 123.0, \"mean\": 13546.325203252032, \"std\": 40273.1453669295, \"min\": 20.0, \"25%\": 955.0, \"50%\": 2400.0, \"75%\": 7196.0, \"max\": 277091.0}, {\"Year Acquired\": \"1969-01-01T00:00:00\", \"count\": 62.0, \"mean\": 35578.596774193546, \"std\": 82299.22748725335, \"min\": 25.0, \"25%\": 589.5, \"50%\": 4456.0, \"75%\": 13613.75, \"max\": 456722.0}, {\"Year Acquired\": \"1970-01-01T00:00:00\", \"count\": 216.0, \"mean\": 9183.99537037037, \"std\": 28057.240951477765, \"min\": 18.0, \"25%\": 240.0, \"50%\": 889.0, \"75%\": 4380.5, \"max\": 226525.0}, {\"Year Acquired\": \"1971-01-01T00:00:00\", \"count\": 109.0, \"mean\": 23629.577981651375, \"std\": 58685.71346703613, \"min\": 124.0, \"25%\": 1437.0, \"50%\": 5760.0, \"75%\": 20303.0, \"max\": 500000.0}, {\"Year Acquired\": \"1972-01-01T00:00:00\", \"count\": 121.0, \"mean\": 15613.01652892562, \"std\": 48993.93354997867, \"min\": 16.0, \"25%\": 144.0, \"50%\": 1280.0, \"75%\": 5353.0, \"max\": 347981.0}, {\"Year Acquired\": \"1973-01-01T00:00:00\", \"count\": 125.0, \"mean\": 9745.432, \"std\": 26849.922143617525, \"min\": 24.0, \"25%\": 1800.0, \"50%\": 2920.0, \"75%\": 3040.0, \"max\": 185458.0}, {\"Year Acquired\": \"1974-01-01T00:00:00\", \"count\": 192.0, \"mean\": 4999.770833333333, \"std\": 22745.999592577424, \"min\": 16.0, \"25%\": 36.0, \"50%\": 1680.0, \"75%\": 2800.0, \"max\": 277831.0}, {\"Year Acquired\": \"1975-01-01T00:00:00\", \"count\": 238.0, \"mean\": 5861.399159663865, \"std\": 16332.917613982725, \"min\": 16.0, \"25%\": 640.0, \"50%\": 2729.5, \"75%\": 3750.0, \"max\": 160305.0}, {\"Year Acquired\": \"1976-01-01T00:00:00\", \"count\": 139.0, \"mean\": 10166.84892086331, \"std\": 37905.41062711686, \"min\": 16.0, \"25%\": 200.0, \"50%\": 1120.0, \"75%\": 3600.0, \"max\": 298474.0}, {\"Year Acquired\": \"1977-01-01T00:00:00\", \"count\": 98.0, \"mean\": 12004.65306122449, \"std\": 75215.12199048368, \"min\": 18.0, \"25%\": 42.0, \"50%\": 349.5, \"75%\": 1734.0, \"max\": 671416.0}, {\"Year Acquired\": \"1978-01-01T00:00:00\", \"count\": 79.0, \"mean\": 12148.658227848102, \"std\": 30707.55389021007, \"min\": 48.0, \"25%\": 534.0, \"50%\": 1440.0, \"75%\": 6804.0, \"max\": 144534.0}, {\"Year Acquired\": \"1979-01-01T00:00:00\", \"count\": 116.0, \"mean\": 3286.043103448276, \"std\": 9702.435457941334, \"min\": 12.0, \"25%\": 150.0, \"50%\": 460.5, \"75%\": 2220.0, \"max\": 70995.0}, {\"Year Acquired\": \"1980-01-01T00:00:00\", \"count\": 136.0, \"mean\": 3040.25, \"std\": 9626.164334192976, \"min\": 12.0, \"25%\": 120.0, \"50%\": 310.0, \"75%\": 1800.0, \"max\": 82247.0}, {\"Year Acquired\": \"1981-01-01T00:00:00\", \"count\": 175.0, \"mean\": 10051.891428571429, \"std\": 26853.691353624563, \"min\": 20.0, \"25%\": 432.0, \"50%\": 3450.0, \"75%\": 8895.0, \"max\": 216283.0}, {\"Year Acquired\": \"1982-01-01T00:00:00\", \"count\": 80.0, \"mean\": 10162.3875, \"std\": 34968.08857037605, \"min\": 20.0, \"25%\": 400.0, \"50%\": 1000.0, \"75%\": 4364.0, \"max\": 258516.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"count\": 56.0, \"mean\": 12152.964285714286, \"std\": 26712.921492970592, \"min\": 25.0, \"25%\": 234.0, \"50%\": 900.0, \"75%\": 12147.0, \"max\": 147000.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"count\": 137.0, \"mean\": 14252.21897810219, \"std\": 78602.29920130267, \"min\": 18.0, \"25%\": 192.0, \"50%\": 1100.0, \"75%\": 10160.0, \"max\": 913236.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"count\": 147.0, \"mean\": 13685.251700680272, \"std\": 99310.80973863353, \"min\": 20.0, \"25%\": 240.0, \"50%\": 805.0, \"75%\": 4350.0, \"max\": 1200000.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"count\": 169.0, \"mean\": 5693.7692307692305, \"std\": 14956.371277342447, \"min\": 12.0, \"25%\": 190.0, \"50%\": 896.0, \"75%\": 3000.0, \"max\": 101614.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"count\": 159.0, \"mean\": 8526.4213836478, \"std\": 31069.05988367671, \"min\": 18.0, \"25%\": 104.0, \"50%\": 1128.0, \"75%\": 4774.0, \"max\": 344228.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"count\": 135.0, \"mean\": 3601.651851851852, \"std\": 8764.455069282427, \"min\": 18.0, \"25%\": 220.0, \"50%\": 900.0, \"75%\": 3156.0, \"max\": 75000.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"count\": 192.0, \"mean\": 11383.854166666666, \"std\": 36610.12461855261, \"min\": 16.0, \"25%\": 144.0, \"50%\": 1584.5, \"75%\": 5334.0, \"max\": 443865.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"count\": 182.0, \"mean\": 12137.626373626374, \"std\": 30761.23202299185, \"min\": 36.0, \"25%\": 183.5, \"50%\": 1810.0, \"75%\": 13194.0, \"max\": 226062.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"count\": 99.0, \"mean\": 16705.52525252525, \"std\": 81556.1192773322, \"min\": 18.0, \"25%\": 544.0, \"50%\": 1728.0, \"75%\": 5139.0, \"max\": 779732.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"count\": 110.0, \"mean\": 8187.363636363636, \"std\": 18316.35315337178, \"min\": 20.0, \"25%\": 360.0, \"50%\": 1818.0, \"75%\": 4710.0, \"max\": 119735.0}, {\"Year Acquired\": \"1993-01-01T00:00:00\", \"count\": 91.0, \"mean\": 3868.1098901098903, \"std\": 7280.909893459668, \"min\": 18.0, \"25%\": 90.0, \"50%\": 1050.0, \"75%\": 4223.0, \"max\": 40000.0}, {\"Year Acquired\": \"1994-01-01T00:00:00\", \"count\": 107.0, \"mean\": 4071.5607476635514, \"std\": 8359.039006761357, \"min\": 36.0, \"25%\": 560.0, \"50%\": 1568.0, \"75%\": 3936.0, \"max\": 49275.0}, {\"Year Acquired\": \"1995-01-01T00:00:00\", \"count\": 122.0, \"mean\": 7191.770491803279, \"std\": 17967.955431633607, \"min\": 64.0, \"25%\": 309.0, \"50%\": 1920.0, \"75%\": 4815.0, \"max\": 119700.0}, {\"Year Acquired\": \"1996-01-01T00:00:00\", \"count\": 137.0, \"mean\": 9865.627737226278, \"std\": 33201.52837995283, \"min\": 20.0, \"25%\": 144.0, \"50%\": 1176.0, \"75%\": 4032.0, \"max\": 242165.0}, {\"Year Acquired\": \"1997-01-01T00:00:00\", \"count\": 108.0, \"mean\": 10283.925925925925, \"std\": 22768.56624831277, \"min\": 24.0, \"25%\": 224.75, \"50%\": 1825.0, \"75%\": 4652.25, \"max\": 125000.0}, {\"Year Acquired\": \"1998-01-01T00:00:00\", \"count\": 124.0, \"mean\": 5898.3387096774195, \"std\": 14060.043460529749, \"min\": 25.0, \"25%\": 286.0, \"50%\": 847.5, \"75%\": 4299.0, \"max\": 116030.0}, {\"Year Acquired\": \"1999-01-01T00:00:00\", \"count\": 151.0, \"mean\": 2413.3576158940396, \"std\": 5231.4449824681915, \"min\": 30.0, \"25%\": 144.0, \"50%\": 384.0, \"75%\": 2104.0, \"max\": 45000.0}, {\"Year Acquired\": \"2000-01-01T00:00:00\", \"count\": 357.0, \"mean\": 3498.002801120448, \"std\": 11276.816349499064, \"min\": 24.0, \"25%\": 144.0, \"50%\": 234.0, \"75%\": 1584.0, \"max\": 131835.0}, {\"Year Acquired\": \"2001-01-01T00:00:00\", \"count\": 168.0, \"mean\": 7916.392857142857, \"std\": 29596.44608359036, \"min\": 64.0, \"25%\": 144.0, \"50%\": 313.0, \"75%\": 2401.5, \"max\": 307288.0}, {\"Year Acquired\": \"2002-01-01T00:00:00\", \"count\": 116.0, \"mean\": 8931.98275862069, \"std\": 20494.191820667347, \"min\": 80.0, \"25%\": 332.0, \"50%\": 1300.0, \"75%\": 6300.0, \"max\": 140000.0}, {\"Year Acquired\": \"2003-01-01T00:00:00\", \"count\": 104.0, \"mean\": 10015.663461538461, \"std\": 37322.69734282202, \"min\": 20.0, \"25%\": 144.0, \"50%\": 180.0, \"75%\": 2456.0, \"max\": 318437.0}, {\"Year Acquired\": \"2004-01-01T00:00:00\", \"count\": 79.0, \"mean\": 7281.658227848101, \"std\": 24762.442250873573, \"min\": 70.0, \"25%\": 144.0, \"50%\": 144.0, \"75%\": 4052.5, \"max\": 155174.0}, {\"Year Acquired\": \"2005-01-01T00:00:00\", \"count\": 75.0, \"mean\": 19925.48, \"std\": 56811.500047123605, \"min\": 60.0, \"25%\": 144.0, \"50%\": 288.0, \"75%\": 3036.0, \"max\": 335247.0}, {\"Year Acquired\": \"2006-01-01T00:00:00\", \"count\": 193.0, \"mean\": 3221.295336787565, \"std\": 16471.966229616104, \"min\": 36.0, \"25%\": 75.0, \"50%\": 75.0, \"75%\": 700.0, \"max\": 180000.0}, {\"Year Acquired\": \"2007-01-01T00:00:00\", \"count\": 42.0, \"mean\": 23703.0, \"std\": 47710.47411310813, \"min\": 20.0, \"25%\": 501.75, \"50%\": 2460.0, \"75%\": 10833.0, \"max\": 202759.0}, {\"Year Acquired\": \"2008-01-01T00:00:00\", \"count\": 11.0, \"mean\": 14565.727272727272, \"std\": 43181.082883806666, \"min\": 93.0, \"25%\": 147.0, \"50%\": 700.0, \"75%\": 2437.5, \"max\": 144580.0}, {\"Year Acquired\": \"2009-01-01T00:00:00\", \"count\": 20.0, \"mean\": 12986.2, \"std\": 25445.14786462503, \"min\": 20.0, \"25%\": 466.5, \"50%\": 2109.5, \"75%\": 9186.5, \"max\": 96000.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"count\": 22.0, \"mean\": 17214.772727272728, \"std\": 34147.04657511438, \"min\": 24.0, \"25%\": 495.0, \"50%\": 4000.0, \"75%\": 10937.75, \"max\": 148183.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"count\": 23.0, \"mean\": 6650.130434782609, \"std\": 15220.376605973586, \"min\": 24.0, \"25%\": 144.0, \"50%\": 1386.0, \"75%\": 4036.0, \"max\": 64000.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"count\": 23.0, \"mean\": 10874.478260869566, \"std\": 29866.02269967049, \"min\": 100.0, \"25%\": 850.0, \"50%\": 2464.0, \"75%\": 4670.0, \"max\": 136000.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"count\": 8.0, \"mean\": 48935.625, \"std\": 84820.0285713185, \"min\": 144.0, \"25%\": 144.0, \"50%\": 2673.0, \"75%\": 54398.5, \"max\": 230665.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"count\": 33.0, \"mean\": 20130.242424242424, \"std\": 25152.687037161533, \"min\": 10.0, \"25%\": 3200.0, \"50%\": 13387.0, \"75%\": 23040.0, \"max\": 94830.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"count\": 20.0, \"mean\": 15254.65, \"std\": 29153.08528996004, \"min\": 144.0, \"25%\": 696.0, \"50%\": 3152.0, \"75%\": 10590.25, \"max\": 105000.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"count\": 10.0, \"mean\": 30483.9, \"std\": 61864.18049144252, \"min\": 1152.0, \"25%\": 2464.0, \"50%\": 3352.5, \"75%\": 3793.0, \"max\": 184000.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"count\": 1.0, \"mean\": 6720.0, \"std\": null, \"min\": 6720.0, \"25%\": 6720.0, \"50%\": 6720.0, \"75%\": 6720.0, \"max\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"count\": 4.0, \"mean\": 4290.0, \"std\": 5153.644341628553, \"min\": 1455.0, \"25%\": 1455.0, \"50%\": 1852.5, \"75%\": 4687.5, \"max\": 12000.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"count\": 2.0, \"mean\": 760.0, \"std\": 0.0, \"min\": 760.0, \"25%\": 760.0, \"50%\": 760.0, \"75%\": 760.0, \"max\": 760.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lines = alt.Chart(stats.reset_index()).mark_line().encode(\n",
    "    alt.X(\"Year Acquired:T\"),\n",
    "    #alt.Y(\"max:Q\")\n",
    ").properties(\n",
    "    width=600,\n",
    "    height=100\n",
    ")\n",
    "\n",
    "lines = alt.layer(\n",
    "    lines.mark_line(color='blue').encode(\n",
    "        #y='max:Q'\n",
    "        alt.Y('max:Q', scale=alt.Scale(type='log'))\n",
    "    ),\n",
    "    lines.mark_line(color='orange').encode(\n",
    "        #y='min:Q'\n",
    "        alt.Y('min:Q', scale=alt.Scale(type='log'))\n",
    "    )\n",
    ").interactive() # \"cheap\" interactivity\n",
    "\n",
    "\n",
    "lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6ba06160",
   "metadata": {},
   "outputs": [],
   "source": [
    "stats_min = stats[['min','max']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ecc3e649",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>min</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year Acquired</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1753-01-01</th>\n",
       "      <td>1200.0</td>\n",
       "      <td>1200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1802-01-01</th>\n",
       "      <td>846.0</td>\n",
       "      <td>3594.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1810-01-01</th>\n",
       "      <td>216.0</td>\n",
       "      <td>3432.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1832-01-01</th>\n",
       "      <td>120000.0</td>\n",
       "      <td>120000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1837-01-01</th>\n",
       "      <td>10302.0</td>\n",
       "      <td>10302.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    min       max\n",
       "Year Acquired                    \n",
       "1753-01-01       1200.0    1200.0\n",
       "1802-01-01        846.0    3594.0\n",
       "1810-01-01        216.0    3432.0\n",
       "1832-01-01     120000.0  120000.0\n",
       "1837-01-01      10302.0   10302.0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats_min.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "7fabda3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "source = stats_min.reset_index().melt('Year Acquired', \n",
    "                                      var_name='Statistic',\n",
    "                                     value_name='stat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9dab5888",
   "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>Year Acquired</th>\n",
       "      <th>Statistic</th>\n",
       "      <th>stat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1753-01-01</td>\n",
       "      <td>min</td>\n",
       "      <td>1200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1802-01-01</td>\n",
       "      <td>min</td>\n",
       "      <td>846.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1810-01-01</td>\n",
       "      <td>min</td>\n",
       "      <td>216.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1832-01-01</td>\n",
       "      <td>min</td>\n",
       "      <td>120000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1837-01-01</td>\n",
       "      <td>min</td>\n",
       "      <td>10302.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>max</td>\n",
       "      <td>105000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>max</td>\n",
       "      <td>184000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>max</td>\n",
       "      <td>6720.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>max</td>\n",
       "      <td>12000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>max</td>\n",
       "      <td>760.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>342 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Year Acquired Statistic      stat\n",
       "0      1753-01-01       min    1200.0\n",
       "1      1802-01-01       min     846.0\n",
       "2      1810-01-01       min     216.0\n",
       "3      1832-01-01       min  120000.0\n",
       "4      1837-01-01       min   10302.0\n",
       "..            ...       ...       ...\n",
       "337    2015-01-01       max  105000.0\n",
       "338    2016-01-01       max  184000.0\n",
       "339    2017-01-01       max    6720.0\n",
       "340    2018-01-01       max   12000.0\n",
       "341    2019-01-01       max     760.0\n",
       "\n",
       "[342 rows x 3 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "848aa15b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      \"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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Acquired\": \"1838-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2010.0}, {\"Year Acquired\": \"1839-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 11752.0}, {\"Year Acquired\": \"1840-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 608.0}, {\"Year Acquired\": \"1841-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3256.0}, {\"Year Acquired\": \"1843-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 900.0}, {\"Year Acquired\": \"1844-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4088.0}, {\"Year Acquired\": \"1845-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3616.0}, {\"Year Acquired\": \"1848-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1644.0}, {\"Year Acquired\": \"1850-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 500.0}, {\"Year Acquired\": \"1853-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 255000.0}, {\"Year Acquired\": \"1854-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2140.0}, {\"Year Acquired\": 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\"Statistic\": \"min\", \"stat\": 14900.0}, {\"Year Acquired\": \"1873-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 11000.0}, {\"Year Acquired\": \"1874-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 6600.0}, {\"Year Acquired\": \"1875-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 400.0}, {\"Year Acquired\": \"1876-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1200.0}, {\"Year Acquired\": \"1878-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 33071.0}, {\"Year Acquired\": \"1880-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1800.0}, {\"Year Acquired\": \"1881-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 6671.0}, {\"Year Acquired\": \"1882-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18150.0}, {\"Year Acquired\": \"1883-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 150.0}, {\"Year Acquired\": \"1885-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 184.0}, {\"Year Acquired\": \"1886-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 50.0}, {\"Year Acquired\": \"1887-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 15000.0}, {\"Year Acquired\": \"1888-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 28746.0}, {\"Year Acquired\": \"1890-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 300.0}, {\"Year Acquired\": \"1891-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2325.0}, {\"Year Acquired\": \"1892-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4380.0}, {\"Year Acquired\": \"1893-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 800.0}, {\"Year Acquired\": \"1894-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 85000.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4444.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 13401.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 132907.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1700.0}, {\"Year Acquired\": \"1899-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 32229.0}, {\"Year Acquired\": \"1900-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 200.0}, {\"Year Acquired\": \"1901-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1450.0}, {\"Year Acquired\": \"1902-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 82.0}, {\"Year Acquired\": \"1903-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 10288.0}, {\"Year Acquired\": \"1904-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 480.0}, {\"Year Acquired\": \"1905-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 150.0}, {\"Year Acquired\": \"1906-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 6624.0}, {\"Year Acquired\": \"1907-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2900.0}, {\"Year Acquired\": \"1908-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2682.0}, {\"Year Acquired\": \"1909-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2175.0}, {\"Year Acquired\": \"1910-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 150.0}, {\"Year Acquired\": \"1911-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 160.0}, {\"Year Acquired\": \"1912-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3464.0}, {\"Year Acquired\": \"1913-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1152.0}, {\"Year Acquired\": \"1914-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3288.0}, {\"Year Acquired\": \"1915-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3736.0}, {\"Year Acquired\": \"1916-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1917-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4896.0}, {\"Year Acquired\": \"1918-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 168.0}, {\"Year Acquired\": \"1919-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2100.0}, {\"Year Acquired\": \"1920-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 100.0}, {\"Year Acquired\": \"1921-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 168.0}, {\"Year Acquired\": \"1922-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 288.0}, {\"Year Acquired\": \"1923-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 138.0}, {\"Year Acquired\": \"1924-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3200.0}, {\"Year Acquired\": \"1925-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1926-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 108.0}, {\"Year Acquired\": \"1927-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 693.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 48.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 10.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 50.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 388.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 300.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 282.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 30.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 70.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 130.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 48.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 224.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 30.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 100.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 122.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 363.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", 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\"2009-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 96000.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 148183.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 64000.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 136000.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 230665.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 94830.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 105000.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 184000.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 12000.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 760.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line = alt.Chart(source).mark_line().encode(\n",
    "    alt.X('Year Acquired:T'),\n",
    "    alt.Y('stat:Q', scale=alt.Scale(type='log')),\n",
    "    color='Statistic:N'\n",
    ")\n",
    "line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f437d6c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-efc3bd5530b04b54a6fc1dd630da4ee5.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-efc3bd5530b04b54a6fc1dd630da4ee5.vega-embed details,\n",
       "  #altair-viz-efc3bd5530b04b54a6fc1dd630da4ee5.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-efc3bd5530b04b54a6fc1dd630da4ee5\"></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-efc3bd5530b04b54a6fc1dd630da4ee5\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-efc3bd5530b04b54a6fc1dd630da4ee5\");\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: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"line\"}, \"encoding\": {\"color\": {\"field\": \"Statistic\", \"type\": \"nominal\"}, \"x\": {\"field\": \"Year Acquired\", \"type\": \"temporal\"}, \"y\": {\"field\": \"stat\", \"scale\": {\"type\": \"log\"}, \"type\": \"quantitative\"}}, \"name\": \"view_2\"}, {\"mark\": {\"type\": \"text\", \"align\": \"left\"}, \"encoding\": {\"color\": {\"field\": \"Statistic\", \"type\": \"nominal\"}, \"text\": {\"condition\": {\"param\": \"param_4\", \"field\": \"stat\", \"type\": \"quantitative\"}, \"value\": \" \"}, \"x\": {\"field\": \"Year Acquired\", \"type\": \"temporal\"}, \"y\": {\"field\": \"stat\", \"scale\": {\"type\": \"log\"}, \"type\": \"quantitative\"}}}], \"data\": {\"name\": \"data-a2e62f4ba1861395f7ed3e6191ceb140\"}, \"params\": [{\"name\": \"param_4\", \"select\": {\"type\": \"point\", \"fields\": [\"Year Acquired\"], \"nearest\": true, \"on\": \"mouseover\"}, \"views\": [\"view_2\"]}], \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-a2e62f4ba1861395f7ed3e6191ceb140\": [{\"Year Acquired\": \"1753-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1200.0}, {\"Year Acquired\": \"1802-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 846.0}, {\"Year Acquired\": \"1810-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 216.0}, {\"Year Acquired\": \"1832-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 120000.0}, {\"Year Acquired\": \"1837-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 10302.0}, {\"Year Acquired\": \"1838-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2010.0}, {\"Year Acquired\": \"1839-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 11752.0}, {\"Year Acquired\": \"1840-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 608.0}, {\"Year Acquired\": \"1841-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3256.0}, {\"Year Acquired\": \"1843-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 900.0}, {\"Year Acquired\": \"1844-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4088.0}, {\"Year Acquired\": \"1845-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3616.0}, {\"Year Acquired\": \"1848-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1644.0}, {\"Year Acquired\": \"1850-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 500.0}, {\"Year Acquired\": \"1853-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 255000.0}, {\"Year Acquired\": \"1854-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2140.0}, {\"Year Acquired\": \"1855-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1118.0}, {\"Year Acquired\": \"1856-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 750.0}, {\"Year Acquired\": \"1857-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3000.0}, {\"Year Acquired\": \"1858-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 7367.0}, {\"Year Acquired\": \"1859-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4847.0}, {\"Year Acquired\": \"1860-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 36.0}, {\"Year Acquired\": \"1863-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 15795.0}, {\"Year Acquired\": \"1865-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 225.0}, {\"Year Acquired\": \"1867-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2700.0}, {\"Year Acquired\": \"1870-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2864.0}, {\"Year Acquired\": \"1871-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 290.0}, {\"Year Acquired\": \"1872-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 14900.0}, {\"Year Acquired\": \"1873-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 11000.0}, {\"Year Acquired\": \"1874-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 6600.0}, {\"Year Acquired\": \"1875-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 400.0}, {\"Year Acquired\": \"1876-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1200.0}, {\"Year Acquired\": \"1878-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 33071.0}, {\"Year Acquired\": \"1880-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1800.0}, {\"Year Acquired\": \"1881-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 6671.0}, {\"Year Acquired\": \"1882-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18150.0}, {\"Year Acquired\": \"1883-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 150.0}, {\"Year Acquired\": \"1885-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 184.0}, {\"Year Acquired\": \"1886-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 50.0}, {\"Year Acquired\": \"1887-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 15000.0}, {\"Year Acquired\": \"1888-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 28746.0}, {\"Year Acquired\": \"1890-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 300.0}, {\"Year Acquired\": \"1891-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2325.0}, {\"Year Acquired\": \"1892-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4380.0}, {\"Year Acquired\": \"1893-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 800.0}, {\"Year Acquired\": \"1894-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 85000.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4444.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 13401.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 132907.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1700.0}, {\"Year Acquired\": \"1899-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 32229.0}, {\"Year Acquired\": \"1900-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 200.0}, {\"Year Acquired\": \"1901-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1450.0}, {\"Year Acquired\": \"1902-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 82.0}, {\"Year Acquired\": \"1903-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 10288.0}, {\"Year Acquired\": \"1904-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 480.0}, {\"Year Acquired\": \"1905-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 150.0}, {\"Year Acquired\": \"1906-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 6624.0}, {\"Year Acquired\": \"1907-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2900.0}, {\"Year Acquired\": \"1908-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2682.0}, {\"Year Acquired\": \"1909-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2175.0}, {\"Year Acquired\": \"1910-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 150.0}, {\"Year Acquired\": \"1911-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 160.0}, {\"Year Acquired\": \"1912-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3464.0}, {\"Year Acquired\": \"1913-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1152.0}, {\"Year Acquired\": \"1914-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3288.0}, {\"Year Acquired\": \"1915-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3736.0}, {\"Year Acquired\": \"1916-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1917-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4896.0}, {\"Year Acquired\": \"1918-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 168.0}, {\"Year Acquired\": \"1919-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2100.0}, {\"Year Acquired\": \"1920-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 100.0}, {\"Year Acquired\": \"1921-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 168.0}, {\"Year Acquired\": \"1922-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 288.0}, {\"Year Acquired\": \"1923-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 138.0}, {\"Year Acquired\": \"1924-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3200.0}, {\"Year Acquired\": \"1925-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1926-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 108.0}, {\"Year Acquired\": \"1927-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 693.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 48.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 10.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 50.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 388.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 300.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 282.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 30.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 70.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 130.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 48.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 224.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 30.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 100.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 122.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 363.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 224.0}, {\"Year Acquired\": \"1945-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 27.0}, {\"Year Acquired\": \"1946-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 270.0}, {\"Year Acquired\": \"1947-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 50.0}, {\"Year Acquired\": \"1948-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 100.0}, {\"Year Acquired\": \"1949-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 80.0}, {\"Year Acquired\": \"1950-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1951-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 145.0}, {\"Year Acquired\": \"1952-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1953-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 120.0}, {\"Year Acquired\": \"1954-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 40.0}, {\"Year Acquired\": \"1955-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1956-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 132.0}, {\"Year Acquired\": \"1957-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 40.0}, {\"Year Acquired\": \"1958-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1959-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1960-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 9.0}, {\"Year Acquired\": \"1961-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1962-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1963-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1964-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1965-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1966-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1967-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1968-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1969-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1970-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1971-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 124.0}, {\"Year Acquired\": \"1972-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1973-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 24.0}, {\"Year Acquired\": \"1974-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1975-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1976-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1977-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1978-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 48.0}, {\"Year Acquired\": \"1979-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1980-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1981-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1982-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 36.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1993-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1994-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 36.0}, {\"Year Acquired\": \"1995-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 64.0}, {\"Year Acquired\": \"1996-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1997-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 24.0}, {\"Year Acquired\": \"1998-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1999-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 30.0}, {\"Year Acquired\": \"2000-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 24.0}, {\"Year Acquired\": \"2001-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 64.0}, {\"Year Acquired\": \"2002-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 80.0}, {\"Year Acquired\": \"2003-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"2004-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 70.0}, {\"Year Acquired\": \"2005-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 60.0}, {\"Year Acquired\": \"2006-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 36.0}, {\"Year Acquired\": \"2007-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"2008-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 93.0}, {\"Year Acquired\": \"2009-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 24.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 24.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 100.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 144.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 10.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 144.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1152.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1455.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 760.0}, {\"Year Acquired\": \"1753-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1200.0}, {\"Year Acquired\": \"1802-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 3594.0}, {\"Year Acquired\": \"1810-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 3432.0}, {\"Year Acquired\": \"1832-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 120000.0}, {\"Year Acquired\": \"1837-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 10302.0}, {\"Year Acquired\": \"1838-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2010.0}, {\"Year Acquired\": \"1839-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 11752.0}, {\"Year Acquired\": \"1840-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 20221.0}, {\"Year Acquired\": \"1841-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 3256.0}, {\"Year Acquired\": \"1843-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 900.0}, {\"Year Acquired\": \"1844-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 4088.0}, {\"Year Acquired\": \"1845-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 57978.0}, {\"Year Acquired\": \"1848-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 12699.0}, {\"Year Acquired\": \"1850-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1767.0}, {\"Year Acquired\": \"1853-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 255000.0}, {\"Year Acquired\": \"1854-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2140.0}, {\"Year Acquired\": \"1855-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45120.0}, {\"Year Acquired\": \"1856-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 750.0}, {\"Year Acquired\": \"1857-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15124.0}, {\"Year Acquired\": \"1858-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15000.0}, {\"Year Acquired\": \"1859-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 4847.0}, {\"Year Acquired\": \"1860-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 20160.0}, {\"Year Acquired\": \"1863-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15795.0}, {\"Year Acquired\": \"1865-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 68040.0}, {\"Year Acquired\": \"1867-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2700.0}, {\"Year Acquired\": \"1870-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2864.0}, {\"Year Acquired\": \"1871-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 3431.0}, {\"Year Acquired\": \"1872-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 14900.0}, {\"Year Acquired\": \"1873-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 11000.0}, {\"Year Acquired\": \"1874-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6600.0}, {\"Year Acquired\": \"1875-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1980.0}, {\"Year Acquired\": \"1876-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 368000.0}, {\"Year Acquired\": \"1878-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 33071.0}, {\"Year Acquired\": \"1880-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 54118.0}, {\"Year Acquired\": \"1881-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6671.0}, {\"Year Acquired\": \"1882-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 41116.0}, {\"Year Acquired\": \"1883-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 8575.0}, {\"Year Acquired\": \"1885-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27250.0}, {\"Year Acquired\": \"1886-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 44800.0}, {\"Year Acquired\": \"1887-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 86625.0}, {\"Year Acquired\": \"1888-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 56178.0}, {\"Year Acquired\": \"1890-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27409.0}, {\"Year Acquired\": \"1891-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2325.0}, {\"Year Acquired\": \"1892-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 109638.0}, {\"Year Acquired\": \"1893-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 12975.0}, {\"Year Acquired\": \"1894-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 85000.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 108708.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 93000.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 132907.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 35060.0}, {\"Year Acquired\": \"1899-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 51016.0}, {\"Year Acquired\": \"1900-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 107660.0}, {\"Year Acquired\": \"1901-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 86200.0}, {\"Year Acquired\": \"1902-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 214000.0}, {\"Year Acquired\": \"1903-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 71411.0}, {\"Year Acquired\": \"1904-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15300.0}, {\"Year Acquired\": \"1905-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 132146.0}, {\"Year Acquired\": \"1906-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 13750.0}, {\"Year Acquired\": \"1907-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 47656.0}, {\"Year Acquired\": \"1908-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 102521.0}, {\"Year Acquired\": \"1909-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 142281.0}, {\"Year Acquired\": \"1910-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45072.0}, {\"Year Acquired\": \"1911-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 166742.0}, {\"Year Acquired\": \"1912-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 100570.0}, {\"Year Acquired\": \"1913-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 35415.0}, {\"Year Acquired\": \"1914-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 283194.0}, {\"Year Acquired\": \"1915-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 148780.0}, {\"Year Acquired\": \"1916-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 56120.0}, {\"Year Acquired\": \"1917-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 28080.0}, {\"Year Acquired\": \"1918-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15890.0}, {\"Year Acquired\": \"1919-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27042.0}, {\"Year Acquired\": \"1920-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 100000.0}, {\"Year Acquired\": \"1921-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 65876.0}, {\"Year Acquired\": \"1922-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 55764.0}, {\"Year Acquired\": \"1923-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 420367.0}, {\"Year Acquired\": \"1924-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 47493.0}, {\"Year Acquired\": \"1925-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 203204.0}, {\"Year Acquired\": \"1926-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 596000.0}, {\"Year Acquired\": \"1927-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 150659.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 69600.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 450000.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 73856.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 299772.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 90200.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 26110.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 58305.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 80000.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 76228.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 254636.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 134450.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 109393.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 341100.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 88973.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 71274.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 18626.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 18826.0}, {\"Year Acquired\": \"1945-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 96404.0}, {\"Year Acquired\": \"1946-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45000.0}, {\"Year Acquired\": \"1947-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 49185.0}, {\"Year Acquired\": \"1948-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 38305.0}, {\"Year Acquired\": \"1949-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185214.0}, {\"Year Acquired\": \"1950-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 260237.0}, {\"Year Acquired\": \"1951-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 155636.0}, {\"Year Acquired\": \"1952-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 280139.0}, {\"Year Acquired\": \"1953-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 164939.0}, {\"Year Acquired\": \"1954-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 243593.0}, {\"Year Acquired\": \"1955-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 452523.0}, {\"Year Acquired\": \"1956-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 331541.0}, {\"Year Acquired\": \"1957-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119500.0}, {\"Year Acquired\": \"1958-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 190977.0}, {\"Year Acquired\": \"1959-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 344652.0}, {\"Year Acquired\": \"1960-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 323525.0}, {\"Year Acquired\": \"1961-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 183750.0}, {\"Year Acquired\": \"1962-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 252320.0}, {\"Year Acquired\": \"1963-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 335918.0}, {\"Year Acquired\": \"1964-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185880.0}, {\"Year Acquired\": \"1965-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 460546.0}, {\"Year Acquired\": \"1966-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 224843.0}, {\"Year Acquired\": \"1967-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 228083.0}, {\"Year Acquired\": \"1968-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 277091.0}, {\"Year Acquired\": \"1969-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 456722.0}, {\"Year Acquired\": \"1970-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 226525.0}, {\"Year Acquired\": \"1971-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 500000.0}, {\"Year Acquired\": \"1972-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 347981.0}, {\"Year Acquired\": \"1973-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185458.0}, {\"Year Acquired\": \"1974-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 277831.0}, {\"Year Acquired\": \"1975-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 160305.0}, {\"Year Acquired\": \"1976-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 298474.0}, {\"Year Acquired\": \"1977-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 671416.0}, {\"Year Acquired\": \"1978-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 144534.0}, {\"Year Acquired\": \"1979-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 70995.0}, {\"Year Acquired\": \"1980-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 82247.0}, {\"Year Acquired\": \"1981-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 216283.0}, {\"Year Acquired\": \"1982-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 258516.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 147000.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 913236.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1200000.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 101614.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 344228.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 75000.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 443865.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 226062.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 779732.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119735.0}, {\"Year Acquired\": \"1993-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 40000.0}, {\"Year Acquired\": \"1994-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 49275.0}, {\"Year Acquired\": \"1995-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119700.0}, {\"Year Acquired\": \"1996-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 242165.0}, {\"Year Acquired\": \"1997-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 125000.0}, {\"Year Acquired\": \"1998-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 116030.0}, {\"Year Acquired\": \"1999-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45000.0}, {\"Year Acquired\": \"2000-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 131835.0}, {\"Year Acquired\": \"2001-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 307288.0}, {\"Year Acquired\": \"2002-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 140000.0}, {\"Year Acquired\": \"2003-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 318437.0}, {\"Year Acquired\": \"2004-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 155174.0}, {\"Year Acquired\": \"2005-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 335247.0}, {\"Year Acquired\": \"2006-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 180000.0}, {\"Year Acquired\": \"2007-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 202759.0}, {\"Year Acquired\": \"2008-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 144580.0}, {\"Year Acquired\": \"2009-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 96000.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 148183.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 64000.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 136000.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 230665.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 94830.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 105000.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 184000.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 12000.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 760.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#nearest_mouse = alt.selection(type='single', nearest=True, on='mouseover', encoding=['x'], empty='None')\n",
    "nearest_mouse = alt.selection_point(nearest=True, on='mouseover', fields=['Year Acquired'])\n",
    "\n",
    "line = alt.Chart(source).mark_line().encode(\n",
    "    alt.X('Year Acquired:T'),\n",
    "    alt.Y('stat:Q', scale=alt.Scale(type='log')),\n",
    "    color='Statistic:N'\n",
    "#).add_selection(\n",
    ").add_params(\n",
    "    nearest_mouse\n",
    ")\n",
    "\n",
    "\n",
    "\n",
    "text = line.mark_text(align='left').encode(\n",
    "    text=alt.condition(nearest_mouse,'stat:Q', alt.value(' '))\n",
    "    # nearest_mouse condtion = True, then column \"stat\" is the text\n",
    "    # if not nearest_mouse then empty string (which in practice doesn't happen)\n",
    ")\n",
    "\n",
    "#line\n",
    "alt.layer(\n",
    "    line, text\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "4a1d5afe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-9c677957e6584f668afa069d0b24b4a0.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-9c677957e6584f668afa069d0b24b4a0.vega-embed details,\n",
       "  #altair-viz-9c677957e6584f668afa069d0b24b4a0.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-9c677957e6584f668afa069d0b24b4a0\"></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-9c677957e6584f668afa069d0b24b4a0\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-9c677957e6584f668afa069d0b24b4a0\");\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\": \"line\"}, \"encoding\": {\"color\": {\"field\": \"Statistic\", \"type\": \"nominal\"}, \"x\": {\"field\": \"Year Acquired\", \"type\": \"temporal\"}, \"y\": {\"field\": \"stat\", \"scale\": {\"type\": \"log\"}, \"type\": \"quantitative\"}}}, {\"mark\": {\"type\": \"text\", \"align\": \"left\"}, \"encoding\": {\"color\": {\"field\": \"Statistic\", \"type\": \"nominal\"}, \"text\": {\"condition\": {\"param\": \"param_19\", \"empty\": false, \"field\": \"stat\", \"type\": \"quantitative\"}, \"value\": \" \"}, \"x\": {\"field\": \"Year Acquired\", \"type\": \"temporal\"}, \"y\": {\"field\": \"stat\", \"scale\": {\"type\": \"log\"}, \"type\": \"quantitative\"}}}, {\"mark\": {\"type\": \"point\"}, \"encoding\": {\"opacity\": {\"value\": 0}, \"x\": {\"field\": \"Year Acquired\", \"type\": \"temporal\"}}, \"name\": \"view_7\"}, {\"mark\": {\"type\": \"rule\", 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\"1855-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1118.0}, {\"Year Acquired\": \"1856-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 750.0}, {\"Year Acquired\": \"1857-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3000.0}, {\"Year Acquired\": \"1858-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 7367.0}, {\"Year Acquired\": \"1859-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4847.0}, {\"Year Acquired\": \"1860-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 36.0}, {\"Year Acquired\": \"1863-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 15795.0}, {\"Year Acquired\": \"1865-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 225.0}, {\"Year Acquired\": \"1867-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2700.0}, {\"Year Acquired\": \"1870-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2864.0}, {\"Year Acquired\": \"1871-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 290.0}, {\"Year Acquired\": \"1872-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 14900.0}, {\"Year Acquired\": \"1873-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 11000.0}, {\"Year Acquired\": \"1874-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 6600.0}, {\"Year Acquired\": \"1875-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 400.0}, {\"Year Acquired\": \"1876-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1200.0}, {\"Year Acquired\": \"1878-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 33071.0}, {\"Year Acquired\": \"1880-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1800.0}, {\"Year Acquired\": \"1881-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 6671.0}, {\"Year Acquired\": \"1882-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18150.0}, {\"Year Acquired\": \"1883-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 150.0}, {\"Year Acquired\": \"1885-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 184.0}, {\"Year Acquired\": \"1886-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 50.0}, {\"Year Acquired\": \"1887-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 15000.0}, {\"Year Acquired\": \"1888-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 28746.0}, {\"Year Acquired\": \"1890-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 300.0}, {\"Year Acquired\": \"1891-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2325.0}, {\"Year Acquired\": \"1892-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4380.0}, {\"Year Acquired\": \"1893-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 800.0}, {\"Year Acquired\": \"1894-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 85000.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4444.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 13401.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 132907.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1700.0}, {\"Year 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\"1910-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 150.0}, {\"Year Acquired\": \"1911-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 160.0}, {\"Year Acquired\": \"1912-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3464.0}, {\"Year Acquired\": \"1913-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1152.0}, {\"Year Acquired\": \"1914-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3288.0}, {\"Year Acquired\": \"1915-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3736.0}, {\"Year Acquired\": \"1916-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1917-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 4896.0}, {\"Year Acquired\": \"1918-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 168.0}, {\"Year Acquired\": \"1919-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 2100.0}, {\"Year Acquired\": \"1920-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 100.0}, {\"Year Acquired\": \"1921-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 168.0}, {\"Year Acquired\": \"1922-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 288.0}, {\"Year Acquired\": \"1923-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 138.0}, {\"Year Acquired\": \"1924-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 3200.0}, {\"Year Acquired\": \"1925-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1926-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 108.0}, {\"Year Acquired\": \"1927-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 693.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 48.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 10.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 50.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 388.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 300.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 282.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 30.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 70.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 130.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 48.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 224.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 30.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 100.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 122.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 363.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 224.0}, {\"Year Acquired\": \"1945-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 27.0}, {\"Year Acquired\": \"1946-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 270.0}, {\"Year Acquired\": \"1947-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 50.0}, {\"Year Acquired\": \"1948-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 100.0}, {\"Year Acquired\": \"1949-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 80.0}, {\"Year Acquired\": \"1950-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1951-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 145.0}, {\"Year Acquired\": \"1952-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1953-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 120.0}, {\"Year Acquired\": \"1954-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 40.0}, {\"Year Acquired\": \"1955-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1956-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 132.0}, {\"Year Acquired\": \"1957-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 40.0}, {\"Year Acquired\": \"1958-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1959-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1960-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 9.0}, {\"Year Acquired\": \"1961-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1962-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1963-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1964-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1965-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1966-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1967-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1968-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1969-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1970-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1971-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 124.0}, {\"Year Acquired\": \"1972-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1973-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 24.0}, {\"Year Acquired\": \"1974-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1975-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1976-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1977-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1978-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 48.0}, {\"Year Acquired\": \"1979-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1980-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1981-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1982-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 12.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 16.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 36.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1993-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 18.0}, {\"Year Acquired\": \"1994-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 36.0}, {\"Year Acquired\": \"1995-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 64.0}, {\"Year Acquired\": \"1996-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"1997-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 24.0}, {\"Year Acquired\": \"1998-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 25.0}, {\"Year Acquired\": \"1999-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 30.0}, {\"Year Acquired\": \"2000-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 24.0}, {\"Year Acquired\": \"2001-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 64.0}, {\"Year Acquired\": \"2002-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 80.0}, {\"Year Acquired\": \"2003-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"2004-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 70.0}, {\"Year Acquired\": \"2005-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 60.0}, {\"Year Acquired\": \"2006-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 36.0}, {\"Year Acquired\": \"2007-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"2008-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 93.0}, {\"Year Acquired\": \"2009-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 20.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 24.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 24.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 100.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 144.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 10.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 144.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1152.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 1455.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"Statistic\": \"min\", \"stat\": 760.0}, {\"Year Acquired\": \"1753-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1200.0}, {\"Year Acquired\": \"1802-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 3594.0}, {\"Year Acquired\": \"1810-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 3432.0}, {\"Year Acquired\": \"1832-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 120000.0}, {\"Year Acquired\": \"1837-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 10302.0}, {\"Year 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\"1855-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45120.0}, {\"Year Acquired\": \"1856-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 750.0}, {\"Year Acquired\": \"1857-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15124.0}, {\"Year Acquired\": \"1858-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15000.0}, {\"Year Acquired\": \"1859-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 4847.0}, {\"Year Acquired\": \"1860-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 20160.0}, {\"Year Acquired\": \"1863-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15795.0}, {\"Year Acquired\": \"1865-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 68040.0}, {\"Year Acquired\": \"1867-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2700.0}, {\"Year Acquired\": \"1870-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2864.0}, {\"Year Acquired\": \"1871-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 3431.0}, {\"Year Acquired\": \"1872-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 14900.0}, {\"Year Acquired\": \"1873-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 11000.0}, {\"Year Acquired\": \"1874-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6600.0}, {\"Year Acquired\": \"1875-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1980.0}, {\"Year Acquired\": \"1876-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 368000.0}, {\"Year Acquired\": \"1878-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 33071.0}, {\"Year Acquired\": \"1880-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 54118.0}, {\"Year Acquired\": \"1881-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6671.0}, {\"Year Acquired\": \"1882-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 41116.0}, {\"Year Acquired\": \"1883-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 8575.0}, {\"Year Acquired\": \"1885-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27250.0}, {\"Year Acquired\": \"1886-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 44800.0}, {\"Year Acquired\": \"1887-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 86625.0}, {\"Year Acquired\": \"1888-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 56178.0}, {\"Year Acquired\": \"1890-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27409.0}, {\"Year Acquired\": \"1891-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2325.0}, {\"Year Acquired\": \"1892-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 109638.0}, {\"Year Acquired\": \"1893-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 12975.0}, {\"Year Acquired\": \"1894-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 85000.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 108708.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 93000.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 132907.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 35060.0}, {\"Year Acquired\": \"1899-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 51016.0}, {\"Year Acquired\": \"1900-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 107660.0}, {\"Year Acquired\": \"1901-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 86200.0}, {\"Year Acquired\": \"1902-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 214000.0}, {\"Year Acquired\": \"1903-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 71411.0}, {\"Year Acquired\": \"1904-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15300.0}, {\"Year Acquired\": \"1905-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 132146.0}, {\"Year Acquired\": \"1906-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 13750.0}, {\"Year Acquired\": \"1907-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 47656.0}, {\"Year Acquired\": \"1908-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 102521.0}, {\"Year Acquired\": \"1909-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 142281.0}, {\"Year Acquired\": \"1910-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45072.0}, {\"Year Acquired\": \"1911-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 166742.0}, {\"Year Acquired\": \"1912-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 100570.0}, {\"Year Acquired\": \"1913-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 35415.0}, {\"Year Acquired\": \"1914-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 283194.0}, {\"Year Acquired\": \"1915-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 148780.0}, {\"Year Acquired\": \"1916-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 56120.0}, {\"Year Acquired\": \"1917-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 28080.0}, {\"Year Acquired\": \"1918-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15890.0}, {\"Year Acquired\": \"1919-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27042.0}, {\"Year Acquired\": \"1920-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 100000.0}, {\"Year Acquired\": \"1921-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 65876.0}, {\"Year Acquired\": \"1922-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 55764.0}, {\"Year Acquired\": \"1923-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 420367.0}, {\"Year Acquired\": \"1924-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 47493.0}, {\"Year Acquired\": \"1925-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 203204.0}, {\"Year Acquired\": \"1926-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 596000.0}, {\"Year Acquired\": \"1927-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 150659.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 69600.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 450000.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 73856.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 299772.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 90200.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 26110.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 58305.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 80000.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 76228.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 254636.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 134450.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 109393.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 341100.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 88973.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 71274.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 18626.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 18826.0}, {\"Year Acquired\": \"1945-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 96404.0}, {\"Year Acquired\": \"1946-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45000.0}, {\"Year Acquired\": \"1947-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 49185.0}, {\"Year Acquired\": \"1948-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 38305.0}, {\"Year Acquired\": \"1949-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185214.0}, {\"Year Acquired\": \"1950-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 260237.0}, {\"Year Acquired\": \"1951-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 155636.0}, {\"Year Acquired\": \"1952-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 280139.0}, {\"Year Acquired\": \"1953-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 164939.0}, {\"Year Acquired\": \"1954-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 243593.0}, {\"Year Acquired\": \"1955-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 452523.0}, {\"Year Acquired\": \"1956-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 331541.0}, {\"Year Acquired\": \"1957-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119500.0}, {\"Year Acquired\": \"1958-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 190977.0}, {\"Year Acquired\": \"1959-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 344652.0}, {\"Year Acquired\": \"1960-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 323525.0}, {\"Year Acquired\": \"1961-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 183750.0}, {\"Year Acquired\": \"1962-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 252320.0}, {\"Year Acquired\": \"1963-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 335918.0}, {\"Year Acquired\": \"1964-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185880.0}, {\"Year Acquired\": \"1965-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 460546.0}, {\"Year Acquired\": \"1966-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 224843.0}, {\"Year Acquired\": \"1967-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 228083.0}, {\"Year Acquired\": \"1968-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 277091.0}, {\"Year Acquired\": \"1969-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 456722.0}, {\"Year Acquired\": \"1970-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 226525.0}, {\"Year Acquired\": \"1971-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 500000.0}, {\"Year Acquired\": \"1972-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 347981.0}, {\"Year Acquired\": \"1973-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185458.0}, {\"Year Acquired\": \"1974-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 277831.0}, {\"Year Acquired\": \"1975-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 160305.0}, {\"Year Acquired\": \"1976-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 298474.0}, {\"Year Acquired\": \"1977-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 671416.0}, {\"Year Acquired\": \"1978-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 144534.0}, {\"Year Acquired\": \"1979-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 70995.0}, {\"Year Acquired\": \"1980-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 82247.0}, {\"Year Acquired\": \"1981-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 216283.0}, {\"Year Acquired\": \"1982-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 258516.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 147000.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 913236.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1200000.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 101614.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 344228.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 75000.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 443865.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 226062.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 779732.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119735.0}, {\"Year Acquired\": \"1993-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 40000.0}, {\"Year Acquired\": \"1994-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 49275.0}, {\"Year Acquired\": \"1995-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119700.0}, {\"Year Acquired\": \"1996-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 242165.0}, {\"Year Acquired\": \"1997-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 125000.0}, {\"Year Acquired\": \"1998-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 116030.0}, {\"Year Acquired\": \"1999-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45000.0}, {\"Year Acquired\": \"2000-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 131835.0}, {\"Year Acquired\": \"2001-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 307288.0}, {\"Year Acquired\": \"2002-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 140000.0}, {\"Year Acquired\": \"2003-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 318437.0}, {\"Year Acquired\": \"2004-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 155174.0}, {\"Year Acquired\": \"2005-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 335247.0}, {\"Year Acquired\": \"2006-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 180000.0}, {\"Year Acquired\": \"2007-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 202759.0}, {\"Year Acquired\": \"2008-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 144580.0}, {\"Year Acquired\": \"2009-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 96000.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 148183.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 64000.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 136000.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 230665.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 94830.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 105000.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 184000.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 12000.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 760.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#nearest_mouse = alt.selection_point(nearest=True, on='mouseover', fields=['Year Acquired'], empty=False)\n",
    "nearest_mouse = alt.selection_point(nearest=True, on='mousemove', fields=['Year Acquired'], empty=False)\n",
    "\n",
    "line = alt.Chart(source).mark_line().encode(\n",
    "    alt.X('Year Acquired:T'),\n",
    "    alt.Y('stat:Q', scale=alt.Scale(type='log')),\n",
    "    color='Statistic:N'\n",
    ")\n",
    "\n",
    "# selection of individual points, not a line\n",
    "points = alt.Chart(source).mark_point().encode(\n",
    "    x='Year Acquired:T',\n",
    "    opacity=alt.value(0) # see through points\n",
    ").add_params(\n",
    "    nearest_mouse\n",
    ")\n",
    "\n",
    "rule = alt.Chart(source).mark_rule(color='red').encode(\n",
    "    x='Year Acquired:T'\n",
    ").transform_filter(\n",
    "    nearest_mouse\n",
    ")\n",
    "\n",
    "text = line.mark_text(align='left').encode(\n",
    "    text=alt.condition(nearest_mouse,'stat:Q', alt.value(' '))\n",
    "    # nearest_mouse condtion = True, then column \"stat\" is the text\n",
    "    # if not nearest_mouse then empty string (which in practice doesn't happen)\n",
    ")\n",
    "\n",
    "alt.layer(\n",
    "    line, text, points, rule\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2353c479",
   "metadata": {},
   "outputs": [],
   "source": [
    "alt.selection_point?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01129390",
   "metadata": {},
   "source": [
    "Deciding what statistic to plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "859df1ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "source2 = stats.reset_index().melt('Year Acquired', var_name='Statistic', value_name='stat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "59e768ba",
   "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>Year Acquired</th>\n",
       "      <th>Statistic</th>\n",
       "      <th>stat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1753-01-01</td>\n",
       "      <td>count</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1802-01-01</td>\n",
       "      <td>count</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1810-01-01</td>\n",
       "      <td>count</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1832-01-01</td>\n",
       "      <td>count</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1837-01-01</td>\n",
       "      <td>count</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1363</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>max</td>\n",
       "      <td>105000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1364</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>max</td>\n",
       "      <td>184000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1365</th>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>max</td>\n",
       "      <td>6720.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1366</th>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>max</td>\n",
       "      <td>12000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1367</th>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>max</td>\n",
       "      <td>760.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1368 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year Acquired Statistic      stat\n",
       "0       1753-01-01     count       1.0\n",
       "1       1802-01-01     count       2.0\n",
       "2       1810-01-01     count       3.0\n",
       "3       1832-01-01     count       1.0\n",
       "4       1837-01-01     count       1.0\n",
       "...            ...       ...       ...\n",
       "1363    2015-01-01       max  105000.0\n",
       "1364    2016-01-01       max  184000.0\n",
       "1365    2017-01-01       max    6720.0\n",
       "1366    2018-01-01       max   12000.0\n",
       "1367    2019-01-01       max     760.0\n",
       "\n",
       "[1368 rows x 3 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "source2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "f3bbd4fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-c3ef858c54f947dfa993330ed55d9ec8.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-c3ef858c54f947dfa993330ed55d9ec8.vega-embed details,\n",
       "  #altair-viz-c3ef858c54f947dfa993330ed55d9ec8.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-c3ef858c54f947dfa993330ed55d9ec8\"></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-c3ef858c54f947dfa993330ed55d9ec8\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-c3ef858c54f947dfa993330ed55d9ec8\");\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: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-b4b7b6b29aea6989ca5b44046b26dbab\"}, \"mark\": {\"type\": \"line\"}, \"encoding\": {\"color\": {\"field\": \"Statistic\", \"type\": \"nominal\"}, \"x\": {\"field\": \"Year Acquired\", \"type\": \"temporal\"}, \"y\": {\"field\": \"stat\", \"scale\": {\"type\": \"symlog\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-b4b7b6b29aea6989ca5b44046b26dbab\": [{\"Year Acquired\": \"1753-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1802-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1810-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 3.0}, {\"Year Acquired\": \"1832-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1837-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year 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\"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1856-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1857-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1858-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1859-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1860-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1863-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1865-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 9.0}, {\"Year Acquired\": \"1867-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1870-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1871-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 5.0}, {\"Year Acquired\": \"1872-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1873-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1874-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1875-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 3.0}, {\"Year Acquired\": \"1876-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 5.0}, {\"Year Acquired\": \"1878-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1880-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"1881-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1882-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1883-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1885-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 4.0}, {\"Year Acquired\": \"1886-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 13.0}, {\"Year Acquired\": \"1887-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 4.0}, {\"Year Acquired\": \"1888-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1890-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 7.0}, {\"Year Acquired\": \"1891-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1892-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 3.0}, {\"Year Acquired\": \"1893-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1894-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 7.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1899-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 3.0}, {\"Year Acquired\": \"1900-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 27.0}, {\"Year Acquired\": \"1901-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 3.0}, {\"Year Acquired\": \"1902-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"1903-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1904-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 7.0}, {\"Year Acquired\": \"1905-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 13.0}, {\"Year Acquired\": \"1906-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1907-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 9.0}, {\"Year Acquired\": \"1908-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 11.0}, {\"Year Acquired\": \"1909-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 7.0}, {\"Year Acquired\": \"1910-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 22.0}, {\"Year Acquired\": \"1911-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"1912-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 9.0}, {\"Year Acquired\": \"1913-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 17.0}, {\"Year Acquired\": \"1914-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 4.0}, {\"Year Acquired\": \"1915-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 16.0}, {\"Year Acquired\": \"1916-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 11.0}, {\"Year Acquired\": \"1917-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1918-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1919-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1920-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 38.0}, {\"Year Acquired\": \"1921-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 18.0}, {\"Year Acquired\": \"1922-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 10.0}, {\"Year Acquired\": \"1923-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 13.0}, {\"Year Acquired\": \"1924-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"1925-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 13.0}, {\"Year Acquired\": \"1926-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 17.0}, {\"Year Acquired\": \"1927-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 18.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 30.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 37.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 101.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 29.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 60.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 9.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 13.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 214.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 60.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 52.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 32.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 30.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 67.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 27.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 25.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 9.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 10.0}, {\"Year Acquired\": \"1945-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 20.0}, {\"Year Acquired\": \"1946-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"1947-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 20.0}, {\"Year Acquired\": \"1948-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 54.0}, {\"Year Acquired\": \"1949-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 40.0}, {\"Year Acquired\": \"1950-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 175.0}, {\"Year Acquired\": \"1951-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 38.0}, {\"Year Acquired\": \"1952-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 44.0}, {\"Year Acquired\": \"1953-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 65.0}, {\"Year Acquired\": \"1954-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 73.0}, {\"Year Acquired\": \"1955-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 65.0}, {\"Year Acquired\": \"1956-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 54.0}, {\"Year Acquired\": \"1957-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 56.0}, {\"Year Acquired\": \"1958-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 92.0}, {\"Year Acquired\": \"1959-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 63.0}, {\"Year Acquired\": \"1960-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 141.0}, {\"Year Acquired\": \"1961-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 51.0}, {\"Year Acquired\": \"1962-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 72.0}, {\"Year Acquired\": \"1963-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 113.0}, {\"Year Acquired\": \"1964-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 130.0}, {\"Year Acquired\": \"1965-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 173.0}, {\"Year Acquired\": \"1966-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 77.0}, {\"Year Acquired\": \"1967-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 117.0}, {\"Year Acquired\": \"1968-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 123.0}, {\"Year Acquired\": \"1969-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 62.0}, {\"Year Acquired\": \"1970-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 216.0}, {\"Year Acquired\": \"1971-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 109.0}, {\"Year Acquired\": \"1972-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 121.0}, {\"Year Acquired\": \"1973-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 125.0}, {\"Year Acquired\": \"1974-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 192.0}, {\"Year Acquired\": \"1975-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 238.0}, {\"Year Acquired\": \"1976-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 139.0}, {\"Year Acquired\": \"1977-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 98.0}, {\"Year Acquired\": \"1978-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 79.0}, {\"Year Acquired\": \"1979-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 116.0}, {\"Year Acquired\": \"1980-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 136.0}, {\"Year Acquired\": \"1981-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 175.0}, {\"Year Acquired\": \"1982-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 80.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 56.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 137.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 147.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 169.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 159.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 135.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 192.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 182.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 99.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 110.0}, {\"Year Acquired\": \"1993-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 91.0}, {\"Year Acquired\": \"1994-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 107.0}, {\"Year Acquired\": \"1995-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 122.0}, {\"Year Acquired\": \"1996-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 137.0}, {\"Year Acquired\": \"1997-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 108.0}, {\"Year Acquired\": \"1998-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 124.0}, {\"Year Acquired\": \"1999-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 151.0}, {\"Year Acquired\": \"2000-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 357.0}, {\"Year 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      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line = alt.Chart(source2).mark_line().encode(\n",
    "    alt.X('Year Acquired:T'),\n",
    "    alt.Y('stat:Q',scale=alt.Scale(type='symlog')),\n",
    "    color='Statistic:N'\n",
    ")\n",
    "\n",
    "line"
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  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "afaf40de",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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",
       "          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: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-b4b7b6b29aea6989ca5b44046b26dbab\"}, \"mark\": {\"type\": \"line\"}, \"encoding\": {\"x\": {\"field\": \"Year Acquired\", \"type\": \"temporal\"}, \"y\": {\"field\": \"stat\", \"scale\": {\"type\": \"log\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-b4b7b6b29aea6989ca5b44046b26dbab\": [{\"Year Acquired\": \"1753-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1802-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1810-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 3.0}, {\"Year Acquired\": \"1832-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1837-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1838-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1839-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1840-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"1841-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1843-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1844-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1845-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 3.0}, {\"Year Acquired\": \"1848-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 4.0}, {\"Year Acquired\": \"1850-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1853-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1854-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1855-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1856-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1857-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1858-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1859-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1860-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1863-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1865-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 9.0}, {\"Year Acquired\": \"1867-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1870-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1871-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 5.0}, {\"Year Acquired\": \"1872-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1873-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1874-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1875-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 3.0}, {\"Year Acquired\": \"1876-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 5.0}, {\"Year Acquired\": \"1878-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1880-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"1881-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1882-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1883-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1885-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 4.0}, {\"Year Acquired\": \"1886-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 13.0}, {\"Year Acquired\": \"1887-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 4.0}, {\"Year Acquired\": \"1888-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1890-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 7.0}, {\"Year Acquired\": \"1891-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1892-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 3.0}, {\"Year Acquired\": \"1893-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1894-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 7.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1899-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 3.0}, {\"Year Acquired\": \"1900-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 27.0}, {\"Year Acquired\": \"1901-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 3.0}, {\"Year Acquired\": \"1902-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"1903-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1904-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 7.0}, {\"Year Acquired\": \"1905-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 13.0}, {\"Year Acquired\": \"1906-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1907-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 9.0}, {\"Year Acquired\": \"1908-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 11.0}, {\"Year Acquired\": \"1909-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 7.0}, {\"Year Acquired\": \"1910-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 22.0}, {\"Year Acquired\": \"1911-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"1912-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 9.0}, {\"Year Acquired\": \"1913-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 17.0}, {\"Year Acquired\": \"1914-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 4.0}, {\"Year Acquired\": \"1915-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 16.0}, {\"Year Acquired\": \"1916-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 11.0}, {\"Year Acquired\": \"1917-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1918-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1919-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 6.0}, {\"Year Acquired\": \"1920-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 38.0}, {\"Year Acquired\": \"1921-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 18.0}, {\"Year Acquired\": \"1922-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 10.0}, {\"Year Acquired\": \"1923-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 13.0}, {\"Year Acquired\": \"1924-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"1925-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 13.0}, {\"Year Acquired\": \"1926-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 17.0}, {\"Year Acquired\": \"1927-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 18.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 30.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 37.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 101.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 29.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 60.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 9.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 13.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 214.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 60.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 52.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 32.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 30.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 67.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 27.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 25.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 9.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 10.0}, {\"Year Acquired\": \"1945-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 20.0}, {\"Year Acquired\": \"1946-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"1947-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 20.0}, {\"Year Acquired\": \"1948-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 54.0}, {\"Year Acquired\": \"1949-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 40.0}, {\"Year Acquired\": \"1950-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 175.0}, {\"Year Acquired\": \"1951-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 38.0}, {\"Year Acquired\": \"1952-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 44.0}, {\"Year Acquired\": \"1953-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 65.0}, {\"Year Acquired\": \"1954-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 73.0}, {\"Year Acquired\": \"1955-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 65.0}, {\"Year Acquired\": \"1956-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 54.0}, {\"Year Acquired\": \"1957-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 56.0}, {\"Year Acquired\": \"1958-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 92.0}, {\"Year Acquired\": \"1959-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 63.0}, {\"Year Acquired\": \"1960-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 141.0}, {\"Year Acquired\": \"1961-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 51.0}, {\"Year Acquired\": \"1962-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 72.0}, {\"Year Acquired\": \"1963-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 113.0}, {\"Year Acquired\": \"1964-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 130.0}, {\"Year Acquired\": \"1965-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 173.0}, {\"Year Acquired\": \"1966-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 77.0}, {\"Year Acquired\": \"1967-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 117.0}, {\"Year Acquired\": \"1968-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 123.0}, {\"Year Acquired\": \"1969-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 62.0}, {\"Year Acquired\": \"1970-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 216.0}, {\"Year Acquired\": \"1971-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 109.0}, {\"Year Acquired\": \"1972-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 121.0}, {\"Year Acquired\": \"1973-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 125.0}, {\"Year Acquired\": \"1974-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 192.0}, {\"Year Acquired\": \"1975-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 238.0}, {\"Year Acquired\": \"1976-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 139.0}, {\"Year Acquired\": \"1977-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 98.0}, {\"Year Acquired\": \"1978-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 79.0}, {\"Year Acquired\": \"1979-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 116.0}, {\"Year Acquired\": \"1980-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 136.0}, {\"Year Acquired\": \"1981-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 175.0}, {\"Year Acquired\": \"1982-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 80.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 56.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 137.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 147.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 169.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 159.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 135.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 192.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 182.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 99.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 110.0}, {\"Year Acquired\": \"1993-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 91.0}, {\"Year Acquired\": \"1994-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 107.0}, {\"Year Acquired\": \"1995-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 122.0}, {\"Year Acquired\": \"1996-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 137.0}, {\"Year Acquired\": \"1997-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 108.0}, {\"Year Acquired\": \"1998-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 124.0}, {\"Year Acquired\": \"1999-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 151.0}, {\"Year Acquired\": \"2000-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 357.0}, {\"Year Acquired\": \"2001-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 168.0}, {\"Year Acquired\": \"2002-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 116.0}, {\"Year Acquired\": \"2003-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 104.0}, {\"Year Acquired\": \"2004-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 79.0}, {\"Year Acquired\": \"2005-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 75.0}, {\"Year Acquired\": \"2006-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 193.0}, {\"Year Acquired\": \"2007-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 42.0}, {\"Year Acquired\": \"2008-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 11.0}, {\"Year Acquired\": \"2009-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 20.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 22.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 23.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 23.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 8.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 33.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 20.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 10.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 1.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 4.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"Statistic\": \"count\", \"stat\": 2.0}, {\"Year Acquired\": \"1753-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 1200.0}, {\"Year Acquired\": \"1802-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 2220.0}, {\"Year Acquired\": \"1810-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 1344.3333333333333}, {\"Year Acquired\": \"1832-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 120000.0}, {\"Year Acquired\": \"1837-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 10302.0}, {\"Year Acquired\": \"1838-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 2010.0}, {\"Year Acquired\": \"1839-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 11752.0}, {\"Year Acquired\": \"1840-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 4614.75}, {\"Year Acquired\": \"1841-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 3256.0}, {\"Year Acquired\": \"1843-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 900.0}, {\"Year Acquired\": \"1844-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 4088.0}, {\"Year Acquired\": \"1845-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 21948.666666666668}, {\"Year Acquired\": \"1848-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 5323.0}, {\"Year Acquired\": \"1850-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 1133.5}, {\"Year Acquired\": \"1853-01-01T00:00:00\", \"Statistic\": \"mean\", \"stat\": 255000.0}, {\"Year Acquired\": 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\"2015-01-01T00:00:00\", \"Statistic\": \"75%\", \"stat\": 10590.25}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"Statistic\": \"75%\", \"stat\": 3793.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"Statistic\": \"75%\", \"stat\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"Statistic\": \"75%\", \"stat\": 4687.5}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"Statistic\": \"75%\", \"stat\": 760.0}, {\"Year Acquired\": \"1753-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1200.0}, {\"Year Acquired\": \"1802-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 3594.0}, {\"Year Acquired\": \"1810-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 3432.0}, {\"Year Acquired\": \"1832-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 120000.0}, {\"Year Acquired\": \"1837-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 10302.0}, {\"Year Acquired\": \"1838-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2010.0}, {\"Year Acquired\": \"1839-01-01T00:00:00\", 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\"stat\": 750.0}, {\"Year Acquired\": \"1857-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15124.0}, {\"Year Acquired\": \"1858-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15000.0}, {\"Year Acquired\": \"1859-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 4847.0}, {\"Year Acquired\": \"1860-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 20160.0}, {\"Year Acquired\": \"1863-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15795.0}, {\"Year Acquired\": \"1865-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 68040.0}, {\"Year Acquired\": \"1867-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2700.0}, {\"Year Acquired\": \"1870-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2864.0}, {\"Year Acquired\": \"1871-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 3431.0}, {\"Year Acquired\": \"1872-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 14900.0}, {\"Year Acquired\": \"1873-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 11000.0}, {\"Year Acquired\": \"1874-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6600.0}, {\"Year Acquired\": \"1875-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1980.0}, {\"Year Acquired\": \"1876-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 368000.0}, {\"Year Acquired\": \"1878-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 33071.0}, {\"Year Acquired\": \"1880-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 54118.0}, {\"Year Acquired\": \"1881-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6671.0}, {\"Year Acquired\": \"1882-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 41116.0}, {\"Year Acquired\": \"1883-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 8575.0}, {\"Year Acquired\": \"1885-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27250.0}, {\"Year Acquired\": \"1886-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 44800.0}, {\"Year Acquired\": \"1887-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 86625.0}, {\"Year Acquired\": \"1888-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 56178.0}, {\"Year Acquired\": \"1890-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27409.0}, {\"Year Acquired\": \"1891-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2325.0}, {\"Year Acquired\": \"1892-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 109638.0}, {\"Year Acquired\": \"1893-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 12975.0}, {\"Year Acquired\": \"1894-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 85000.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 108708.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 93000.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 132907.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 35060.0}, {\"Year Acquired\": \"1899-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 51016.0}, {\"Year Acquired\": \"1900-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 107660.0}, {\"Year Acquired\": \"1901-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 86200.0}, {\"Year Acquired\": \"1902-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 214000.0}, {\"Year Acquired\": \"1903-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 71411.0}, {\"Year Acquired\": \"1904-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15300.0}, {\"Year Acquired\": \"1905-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 132146.0}, {\"Year Acquired\": \"1906-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 13750.0}, {\"Year Acquired\": \"1907-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 47656.0}, {\"Year Acquired\": \"1908-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 102521.0}, {\"Year Acquired\": \"1909-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 142281.0}, {\"Year Acquired\": \"1910-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45072.0}, {\"Year Acquired\": \"1911-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 166742.0}, {\"Year Acquired\": \"1912-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 100570.0}, {\"Year Acquired\": \"1913-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 35415.0}, {\"Year Acquired\": \"1914-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 283194.0}, {\"Year Acquired\": \"1915-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 148780.0}, {\"Year Acquired\": \"1916-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 56120.0}, {\"Year Acquired\": \"1917-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 28080.0}, {\"Year Acquired\": \"1918-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15890.0}, {\"Year Acquired\": \"1919-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27042.0}, {\"Year Acquired\": \"1920-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 100000.0}, {\"Year Acquired\": \"1921-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 65876.0}, {\"Year Acquired\": \"1922-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 55764.0}, {\"Year Acquired\": \"1923-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 420367.0}, {\"Year Acquired\": \"1924-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 47493.0}, {\"Year Acquired\": \"1925-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 203204.0}, {\"Year Acquired\": \"1926-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 596000.0}, {\"Year Acquired\": \"1927-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 150659.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 69600.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 450000.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 73856.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 299772.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 90200.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 26110.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 58305.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 80000.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 76228.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 254636.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 134450.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 109393.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 341100.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 88973.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 71274.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 18626.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 18826.0}, {\"Year Acquired\": \"1945-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 96404.0}, {\"Year Acquired\": \"1946-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45000.0}, {\"Year Acquired\": \"1947-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 49185.0}, {\"Year Acquired\": \"1948-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 38305.0}, {\"Year Acquired\": \"1949-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185214.0}, {\"Year Acquired\": \"1950-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 260237.0}, {\"Year Acquired\": \"1951-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 155636.0}, {\"Year Acquired\": \"1952-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 280139.0}, {\"Year Acquired\": \"1953-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 164939.0}, {\"Year Acquired\": \"1954-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 243593.0}, {\"Year Acquired\": \"1955-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 452523.0}, {\"Year Acquired\": \"1956-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 331541.0}, {\"Year Acquired\": \"1957-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119500.0}, {\"Year Acquired\": \"1958-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 190977.0}, {\"Year Acquired\": \"1959-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 344652.0}, {\"Year Acquired\": \"1960-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 323525.0}, {\"Year Acquired\": \"1961-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 183750.0}, {\"Year Acquired\": \"1962-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 252320.0}, {\"Year Acquired\": \"1963-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 335918.0}, {\"Year Acquired\": \"1964-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185880.0}, {\"Year Acquired\": \"1965-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 460546.0}, {\"Year Acquired\": \"1966-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 224843.0}, {\"Year Acquired\": \"1967-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 228083.0}, {\"Year Acquired\": \"1968-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 277091.0}, {\"Year Acquired\": \"1969-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 456722.0}, {\"Year Acquired\": \"1970-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 226525.0}, {\"Year Acquired\": \"1971-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 500000.0}, {\"Year Acquired\": \"1972-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 347981.0}, {\"Year Acquired\": \"1973-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185458.0}, {\"Year Acquired\": \"1974-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 277831.0}, {\"Year Acquired\": \"1975-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 160305.0}, {\"Year Acquired\": \"1976-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 298474.0}, {\"Year Acquired\": \"1977-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 671416.0}, {\"Year Acquired\": \"1978-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 144534.0}, {\"Year Acquired\": \"1979-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 70995.0}, {\"Year Acquired\": \"1980-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 82247.0}, {\"Year Acquired\": \"1981-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 216283.0}, {\"Year Acquired\": \"1982-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 258516.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 147000.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 913236.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1200000.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 101614.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 344228.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 75000.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 443865.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 226062.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 779732.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119735.0}, {\"Year Acquired\": \"1993-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 40000.0}, {\"Year Acquired\": \"1994-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 49275.0}, {\"Year Acquired\": \"1995-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119700.0}, {\"Year Acquired\": \"1996-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 242165.0}, {\"Year Acquired\": \"1997-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 125000.0}, {\"Year Acquired\": \"1998-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 116030.0}, {\"Year Acquired\": \"1999-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45000.0}, {\"Year Acquired\": \"2000-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 131835.0}, {\"Year Acquired\": \"2001-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 307288.0}, {\"Year Acquired\": \"2002-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 140000.0}, {\"Year Acquired\": \"2003-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 318437.0}, {\"Year Acquired\": \"2004-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 155174.0}, {\"Year Acquired\": \"2005-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 335247.0}, {\"Year Acquired\": \"2006-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 180000.0}, {\"Year Acquired\": \"2007-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 202759.0}, {\"Year Acquired\": \"2008-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 144580.0}, {\"Year Acquired\": \"2009-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 96000.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 148183.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 64000.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 136000.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 230665.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 94830.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 105000.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 184000.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 12000.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 760.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# line = alt.Chart(source2).mark_line().encode(\n",
    "#     alt.Y('stat:Q',scale=alt.Scale(type='log')),\n",
    "#     x='Year Acquired:T'\n",
    "#     #color='Statistic:N'\n",
    "# )\n",
    "\n",
    "# line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "3aa37584",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['count', 'mean', 'std', 'min', '25%', '50%', '75%', 'max']"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.columns.values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "6987dc0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['count', 'mean', 'std', 'min', '25%', '50%', '75%', 'max']]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[stats.columns.values.tolist()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "e427141b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-81c76454c48547a3a8f5dd6e9eb42464.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-81c76454c48547a3a8f5dd6e9eb42464.vega-embed details,\n",
       "  #altair-viz-81c76454c48547a3a8f5dd6e9eb42464.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-81c76454c48547a3a8f5dd6e9eb42464\"></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-81c76454c48547a3a8f5dd6e9eb42464\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-81c76454c48547a3a8f5dd6e9eb42464\");\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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\"stat\": 8575.0}, {\"Year Acquired\": \"1885-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27250.0}, {\"Year Acquired\": \"1886-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 44800.0}, {\"Year Acquired\": \"1887-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 86625.0}, {\"Year Acquired\": \"1888-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 56178.0}, {\"Year Acquired\": \"1890-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27409.0}, {\"Year Acquired\": \"1891-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 2325.0}, {\"Year Acquired\": \"1892-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 109638.0}, {\"Year Acquired\": \"1893-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 12975.0}, {\"Year Acquired\": \"1894-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 85000.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 108708.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 93000.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 132907.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 35060.0}, {\"Year Acquired\": \"1899-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 51016.0}, {\"Year Acquired\": \"1900-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 107660.0}, {\"Year Acquired\": \"1901-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 86200.0}, {\"Year Acquired\": \"1902-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 214000.0}, {\"Year Acquired\": \"1903-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 71411.0}, {\"Year Acquired\": \"1904-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15300.0}, {\"Year Acquired\": \"1905-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 132146.0}, {\"Year Acquired\": \"1906-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 13750.0}, {\"Year Acquired\": \"1907-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 47656.0}, {\"Year Acquired\": \"1908-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 102521.0}, {\"Year Acquired\": \"1909-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 142281.0}, {\"Year Acquired\": \"1910-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45072.0}, {\"Year Acquired\": \"1911-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 166742.0}, {\"Year Acquired\": \"1912-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 100570.0}, {\"Year Acquired\": \"1913-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 35415.0}, {\"Year Acquired\": \"1914-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 283194.0}, {\"Year Acquired\": \"1915-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 148780.0}, {\"Year Acquired\": \"1916-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 56120.0}, {\"Year Acquired\": \"1917-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 28080.0}, {\"Year Acquired\": \"1918-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15890.0}, {\"Year Acquired\": \"1919-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 27042.0}, {\"Year Acquired\": \"1920-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 100000.0}, {\"Year Acquired\": \"1921-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 65876.0}, {\"Year Acquired\": \"1922-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 55764.0}, {\"Year Acquired\": \"1923-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 420367.0}, {\"Year Acquired\": \"1924-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 47493.0}, {\"Year Acquired\": \"1925-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 203204.0}, {\"Year Acquired\": \"1926-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 596000.0}, {\"Year Acquired\": \"1927-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 150659.0}, {\"Year Acquired\": \"1928-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 69600.0}, {\"Year Acquired\": \"1929-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 450000.0}, {\"Year Acquired\": \"1930-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 73856.0}, {\"Year Acquired\": \"1931-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 299772.0}, {\"Year Acquired\": \"1932-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 90200.0}, {\"Year Acquired\": \"1933-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 26110.0}, {\"Year Acquired\": \"1934-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 58305.0}, {\"Year Acquired\": \"1935-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 80000.0}, {\"Year Acquired\": \"1936-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 76228.0}, {\"Year Acquired\": \"1937-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 254636.0}, {\"Year Acquired\": \"1938-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 134450.0}, {\"Year Acquired\": \"1939-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 109393.0}, {\"Year Acquired\": \"1940-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 341100.0}, {\"Year Acquired\": \"1941-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 88973.0}, {\"Year Acquired\": \"1942-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 71274.0}, {\"Year Acquired\": \"1943-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 18626.0}, {\"Year Acquired\": \"1944-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 18826.0}, {\"Year Acquired\": \"1945-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 96404.0}, {\"Year Acquired\": \"1946-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45000.0}, {\"Year Acquired\": \"1947-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 49185.0}, {\"Year Acquired\": \"1948-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 38305.0}, {\"Year Acquired\": \"1949-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185214.0}, {\"Year Acquired\": \"1950-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 260237.0}, {\"Year Acquired\": \"1951-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 155636.0}, {\"Year Acquired\": \"1952-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 280139.0}, {\"Year Acquired\": \"1953-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 164939.0}, {\"Year Acquired\": \"1954-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 243593.0}, {\"Year Acquired\": \"1955-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 452523.0}, {\"Year Acquired\": \"1956-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 331541.0}, {\"Year Acquired\": \"1957-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119500.0}, {\"Year Acquired\": \"1958-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 190977.0}, {\"Year Acquired\": \"1959-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 344652.0}, {\"Year Acquired\": \"1960-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 323525.0}, {\"Year Acquired\": \"1961-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 183750.0}, {\"Year Acquired\": \"1962-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 252320.0}, {\"Year Acquired\": \"1963-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 335918.0}, {\"Year Acquired\": \"1964-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185880.0}, {\"Year Acquired\": \"1965-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 460546.0}, {\"Year Acquired\": \"1966-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 224843.0}, {\"Year Acquired\": \"1967-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 228083.0}, {\"Year Acquired\": \"1968-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 277091.0}, {\"Year Acquired\": \"1969-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 456722.0}, {\"Year Acquired\": \"1970-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 226525.0}, {\"Year Acquired\": \"1971-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 500000.0}, {\"Year Acquired\": \"1972-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 347981.0}, {\"Year Acquired\": \"1973-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 185458.0}, {\"Year Acquired\": \"1974-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 277831.0}, {\"Year Acquired\": \"1975-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 160305.0}, {\"Year Acquired\": \"1976-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 298474.0}, {\"Year Acquired\": \"1977-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 671416.0}, {\"Year Acquired\": \"1978-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 144534.0}, {\"Year Acquired\": \"1979-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 70995.0}, {\"Year Acquired\": \"1980-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 82247.0}, {\"Year Acquired\": \"1981-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 216283.0}, {\"Year Acquired\": \"1982-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 258516.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 147000.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 913236.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1200000.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 101614.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 344228.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 75000.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 443865.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 226062.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 779732.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119735.0}, {\"Year Acquired\": \"1993-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 40000.0}, {\"Year Acquired\": \"1994-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 49275.0}, {\"Year Acquired\": \"1995-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119700.0}, {\"Year Acquired\": \"1996-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 242165.0}, {\"Year Acquired\": \"1997-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 125000.0}, {\"Year Acquired\": \"1998-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 116030.0}, {\"Year Acquired\": \"1999-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 45000.0}, {\"Year Acquired\": \"2000-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 131835.0}, {\"Year Acquired\": \"2001-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 307288.0}, {\"Year Acquired\": \"2002-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 140000.0}, {\"Year Acquired\": \"2003-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 318437.0}, {\"Year Acquired\": \"2004-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 155174.0}, {\"Year Acquired\": \"2005-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 335247.0}, {\"Year Acquired\": \"2006-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 180000.0}, {\"Year Acquired\": \"2007-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 202759.0}, {\"Year Acquired\": \"2008-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 144580.0}, {\"Year Acquired\": \"2009-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 96000.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 148183.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 64000.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 136000.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 230665.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 94830.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 105000.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 184000.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 12000.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 760.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input_dropdown = alt.binding_select(options=stats.columns.values.tolist(), name='Statistic')\n",
    "selection = alt.selection_point(fields=['Statistic'], bind=input_dropdown)\n",
    "color = alt.condition(selection, # if selection is true for a specific statstic\n",
    "                      alt.Color('Statistic:N'),\n",
    "                      alt.value('lightgray')\n",
    ")\n",
    "\n",
    "line = alt.Chart(source2).mark_line().encode(\n",
    "    alt.X('Year Acquired:T'),\n",
    "    alt.Y('stat:Q',scale=alt.Scale(type='symlog')),\n",
    "    #color='Statistic:N'\n",
    "    color=color\n",
    ").add_params(\n",
    "    selection\n",
    ")\n",
    "\n",
    "line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "9cbc69d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-31caf32d8467431db36afd1e421dbe0a.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-31caf32d8467431db36afd1e421dbe0a.vega-embed details,\n",
       "  #altair-viz-31caf32d8467431db36afd1e421dbe0a.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-31caf32d8467431db36afd1e421dbe0a\"></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-31caf32d8467431db36afd1e421dbe0a\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-31caf32d8467431db36afd1e421dbe0a\");\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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{\"Year Acquired\": \"1894-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 85000.0}, {\"Year Acquired\": \"1895-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 108708.0}, {\"Year Acquired\": \"1896-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 93000.0}, {\"Year Acquired\": \"1897-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 132907.0}, {\"Year Acquired\": \"1898-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 35060.0}, {\"Year Acquired\": \"1899-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 51016.0}, {\"Year Acquired\": \"1900-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 107660.0}, {\"Year Acquired\": \"1901-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 86200.0}, {\"Year Acquired\": \"1902-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 214000.0}, {\"Year Acquired\": \"1903-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 71411.0}, {\"Year Acquired\": \"1904-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 15300.0}, {\"Year 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\"1982-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 258516.0}, {\"Year Acquired\": \"1983-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 147000.0}, {\"Year Acquired\": \"1984-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 913236.0}, {\"Year Acquired\": \"1985-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 1200000.0}, {\"Year Acquired\": \"1986-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 101614.0}, {\"Year Acquired\": \"1987-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 344228.0}, {\"Year Acquired\": \"1988-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 75000.0}, {\"Year Acquired\": \"1989-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 443865.0}, {\"Year Acquired\": \"1990-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 226062.0}, {\"Year Acquired\": \"1991-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 779732.0}, {\"Year Acquired\": \"1992-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 119735.0}, {\"Year Acquired\": 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\"2004-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 155174.0}, {\"Year Acquired\": \"2005-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 335247.0}, {\"Year Acquired\": \"2006-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 180000.0}, {\"Year Acquired\": \"2007-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 202759.0}, {\"Year Acquired\": \"2008-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 144580.0}, {\"Year Acquired\": \"2009-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 96000.0}, {\"Year Acquired\": \"2010-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 148183.0}, {\"Year Acquired\": \"2011-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 64000.0}, {\"Year Acquired\": \"2012-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 136000.0}, {\"Year Acquired\": \"2013-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 230665.0}, {\"Year Acquired\": \"2014-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 94830.0}, {\"Year Acquired\": \"2015-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 105000.0}, {\"Year Acquired\": \"2016-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 184000.0}, {\"Year Acquired\": \"2017-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 6720.0}, {\"Year Acquired\": \"2018-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 12000.0}, {\"Year Acquired\": \"2019-01-01T00:00:00\", \"Statistic\": \"max\", \"stat\": 760.0}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input_dropdown = alt.binding_select(options=stats.columns.values.tolist(), name='Statistic')\n",
    "selection = alt.selection_point(fields=['Statistic'], bind=input_dropdown)\n",
    "color = alt.condition(selection, # if selection is true for a specific statstic\n",
    "                      alt.Color('Statistic:N'),\n",
    "                      alt.value('lightgray')\n",
    ")\n",
    "opacity = alt.condition(selection,\n",
    "                       alt.value(1.0),\n",
    "                       alt.value(0.25))\n",
    "\n",
    "line = alt.Chart(source2).mark_line().encode(\n",
    "    alt.X('Year Acquired:T'),\n",
    "    alt.Y('stat:Q',scale=alt.Scale(type='symlog')),\n",
    "    #color='Statistic:N'\n",
    "    color=color,\n",
    "    opacity=opacity\n",
    ").add_params(\n",
    "    selection\n",
    ")\n",
    "\n",
    "line"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d09b8828",
   "metadata": {},
   "source": [
    "Now save this to our project folder:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "9a3b88a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "myJekyllDir = '/Users/jnaiman/jnaiman.github.io/assets/json/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "c5198823",
   "metadata": {},
   "outputs": [],
   "source": [
    "line.save(myJekyllDir + 'save_stats.json')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20420b6e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 3 (ipykernel)",
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    "name": "ipython",
    "version": 3
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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