🤖python-datavis: Missing Explanation for Violin Plot

[clstaudt]

Labels: documentation, clarification
Priority: Medium

Description:
The notebook introduces the violin plot without explaining what it represents or how to interpret it, which could leave readers unfamiliar with this type of plot at a disadvantage.

Suggestion:
Add a markdown cell before the violin plot code cell that explains what a violin plot is, how it is constructed, and how to interpret the visualization. Include details about the KDE (Kernel Density Estimation) and how it compares to box plots and histograms.

Example Implementation:

Understanding Violin Plots

The violin plot is a method of plotting numeric data and can be understood as a combination of a box plot and a kernel density plot. It provides a visualization of the distribution of the data, its probability density, and its cumulative distribution.

Features of a violin plot:

• The white dot represents the median of the data.
• The thick gray bar in the center represents the interquartile range.
• The thin gray line represents the rest of the distribution, except for points that are determined to be "outliers" using a method that is a function of the interquartile range.
• The width of the violin represents the kernel density estimation of the data at different values.

Violin plots are particularly useful for comparing the distribution of data across multiple groups.