Statistical plots with seaborn

Seaborn sits on matplotlib and handles distributions, categories, and relationships with far less code.

Lesson 3.235m 56sBeginner20.1k students

Chapters

35:56
  1. 0:00Intro
  2. 0:34Environment Setup
  3. 3:01Themes & Color Palettes
  4. 6:33Loading Datasets
  5. 8:16Relational Plots, Scatterplot, Lineplot
  6. 14:00Distribution Plots, Histograms, KDE Plots
  7. 19:15Categorical Plots, Boxplot, Barplot, Swarmplot
  8. 24:20Jointplot, Pairplot
  9. 25:48Heatmap
  10. 30:06Clustermap
  11. 33:44Regression Plots
  12. 35:05Outro

What this lesson covers

  • Plot distributions and relationships quickly
  • Facet a chart by a categorical column
  • Drop down to matplotlib when you need control

This lesson sits in Visualising Data, part of Python for Data Work. It assumes what came before it and leads directly into the next lesson in the module.

In this lesson you will

  • Plot distributions and relationships quickly
  • Facet a chart by a categorical column
  • Drop down to matplotlib when you need control

Resources