This is the first tutorial in a series explaining in detail how to use
statannotations (v0.4.1).
In this tutorial, we go over the basic annotations features of the package, by exploring part of the Kickstarter campaigns dataset. Specifically, we show
- How to add custom annotations to a seaborn plot?
- How to automatically format previously computed p-values in several ways, then add these to a plot in a single function call?
- How to both perform the statistical tests and add their results to a plot, optionally applying a multiple comparisons correction method?
You can find it as a jupyter notebook in this repository on Tutorial_1/Statannotations-Tutorial-1.ipynb, or as a post on Medium here, which is based on the notebook but was then a little further refined.