Data Visualization

Knowing matplotlib's API is half the job; the other half is knowing what chart to draw, what colors to use, and what mistakes to avoid. This lesson is about visualization as a discipline: how to pick the right chart for the data, how to make charts readable for everyone (including colorblind viewers), how to annotate for storytelling, what other tools exist beyond matplotlib, and the common mistakes that turn a chart into a lie. The lesson ends with the standard workflow: explore freely, refine the most useful chart, present it cleanly.