Data visualization
A chart is an argument made with geometry. This course covers how people actually read visual encodings, which chart answers which question, and how to avoid distorting your own data by accident.
What you'll learn
10 chapters, then the quiz
- 01What a chart is forAnswering one question.
- 02How people read chartsA ranking of encodings.
- 03Choosing a chartA short decision list.
- 04Axes and scalesWhere distortion enters.
- 05ColourMeaningful, not decorative.
- 06Removing clutterEverything on the page competes.
- 07Titles and annotationTelling the reader what matters.
- 08Showing distributionsBeyond the average.
- 09Time seriesThe most common chart.
- 10Tools and workflowMaking it repeatable.
More ai & data tests
See all →- Easy
Understanding AI
What machine learning actually does, what a language model is, and where both fall down.
8 questions7 min - Medium
Data analysis
Averages, spread, correlation and the traps that make numbers say the wrong thing.
8 questions7 min - Medium
Machine learning basics
Training, testing and the workflow behind a model that actually works.
8 questions8 min