Lecture 3.1 - Colors and Color maps, Types of viz
How do colors work? What are the different ways we can map colors to values? What should we keep in mind when doing this?
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.
Lecture 3.1 - Colors and Color maps, Types of viz
How do colors work? What are the different ways we can map colors to values? What should we keep in mind when doing this?
Prep Notebook, Week 3 - (download)
Prep notebook for this week
In class notebook, Week 3 - (download)
Prep notebook for this week
Past Notebook: fall2019_prep_notebook_furtherExamples_01.ipynb - (download)
Past Notebook: fall2019_prep_notebook_furtherExamples_02.ipynb - (download)
Past Notebook: fall2019_prep_notebook_furtherExamples_03.ipynb - (download)
Past Notebook: spring2019_prep_notebook_furtherExamples_week03.ipynb - (download)
Past Notebook: spring2019_prep_notebook_week03_part1.ipynb - (download)
Past Notebook: spring2019_prep_notebook_week03_part2.ipynb - (download)
Palette Colors (palette_colors.py)
Python library, save to notebook folder or modify your path if you know how to do that
Illinois buildings dataset
Measurments taken from around Lake Michigan (https://www.ngdc.noaa.gov/mgg/greatlakes/michigan.html)
MRI scan of a brain