Correlation
What r measures, what it does not, and when it lies.
- 1 lesson
- 14 min
- 2 simulations
The anatomy of a matplotlib figure, statistical charts with seaborn, and interactive charts with plotly.
A suggestion, never a lock — you can start here.
Every lesson's title and summary is public. The lessons themselves open once you own the track.
Every lesson in Data Analytics: Statistics & Data VisualizationA Figure holds Axes, an Axes holds Artists — once you hold the objects, every element of a chart is controllable, and a three-panel figure stops being scary.
Distributions, group comparisons and facets in one line from a DataFrame — as long as the data is in long format and you know which chart hides what.
Hover, zoom and filters turn a chart from an answer into a tool for asking — useful for exploration and for sharing, and harmful on a projector.
What r measures, what it does not, and when it lies.
How to invert a probability, and why a 99%-accurate test can be wrong nine times in ten.
Why sample means behave so predictably, what a p-value really means, and how much data you need.
Designing, running and reading product experiments — including the mistakes that make the results meaningless.