Lecture 11 – Visualization II
Presented by Suraj Rampure
Content by Suraj Rampure, Ani Adhikari, Deborah Nolan, Joseph Gonzalez
Extra reading on colormaps:
- matplotlib colormaps (BIDS)
- How the Rainbow Color Map Misleads
- When to use Sequential and Diverging Palettes
- Color Use Guidelines
A reminder – the right column of the table below contains Quick Checks. These are not required but suggested to help you check your understanding.
| Video | Quick Check | |
|---|---|---|
| 10.1 Ensuring that the axes in our visualizations aren't misleading. |
10.1 | |
| 10.2 Designing visualizations that are well-suited for making comparisons. |
10.2 | |
| 10.3 How to use color to create effective visualizations. How to choose color schemes that are clear and accessible. |
10.3 | |
| 10.4 How to choose markings that the human eye can easily interpret. Issues to avoid, such as jiggling baselines and overplotting. |
10.4 | |
| 10.5 Discussing the supplemental text that publication-ready plots need. |
10.5 | |
| 10.6 When to use smoothing. How kernel density estimates are created. Looking at various kernels. Understanding the impact of the bandwidth hyperparameter. |
10.6 | |
| 10.7 Discussing why we prefer linear relationships. Understanding how to "reverse-engineer" a linearized relationship to determine the true relationship. Identifying which transformations to use in order to linearize a relationship. |
10.7 |