Module 7 · Data Analytics: Statistics & Data Visualization
Python Data Visualization with matplotlib & seaborn: lessons
The anatomy of a matplotlib figure, statistical charts with seaborn, and interactive charts with plotly.
3 lessons · 48 min
What this module teaches, what it asks of you first and how you practise it are on its syllabus page.
Open the syllabusThe Anatomy of a matplotlib Figure
17 minA 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.
Included with the trackStatistical Plots with seaborn
17 minDistributions, 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.
Included with the track Simulation insideInteractive Charts with plotly
14 minHover, 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.
Included with the track