Week 3 - Types of Viz and Choosing Colors

This week, we will cover a bit about colors, and more about data transformations, and how we can choose colors and transforms to better suit our data.

We also did some basics of Pandas last week and we’ll continue this week.

Note there are a variety of notebooks from previous iterations of this course listed under the Materials subsection of today’s lecture. The “furtherExamples” notebooks are just there as reference, we will not be going through them by hand.

Downloads

Data:

Python external libraries

Make sure you save these in the same directory as your jupyter notebook is running in!

Palette Colors - save to notebook folder (or modify your path)

References

Pandas vs. Matplotlib
IS452’s Dictionary week
Colors: RGB color triplets
While we won’t be using Whole Tale for this lecture, it was used for the last iteration of this course and you should feel free to go through the code walk-throughs presented there by Matt Turk - just search for “IS590” under the Browse Tales header.

Optional Reading List

VAD, Ch. 10: Map Color and Other Channels
FDA, Ch. 4: Color scales
Perception in Visualization (pay attention to the parts about color)
Palettable Docs

Materials

Lecture 3: (view, source, present)
Notebook: inClass_week03: (view, download)
Notebook: prep_notebook_week03: (view, download)
Python Script: palette_colors: (download)

Materials from Previous Courses

Notebook: fall2019_prep_notebook_furtherExamples_01: (view, download)
Notebook: fall2019_prep_notebook_furtherExamples_02: (view, download)
Notebook: fall2019_prep_notebook_furtherExamples_03: (view, download)
Notebook: fall2019_prep_notebook_week03: (view, download)
Notebook: spring2019_prep_notebook_furtherExamples_week03: (view, download)
Notebook: spring2019_prep_notebook_week03_part1: (view, download)
Notebook: spring2019_prep_notebook_week03_part2: (view, download)