Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

🤖python-datavis: Missing Explanation for Violin Plot #14

Open
clstaudt opened this issue Mar 11, 2024 · 0 comments
Open

🤖python-datavis: Missing Explanation for Violin Plot #14

clstaudt opened this issue Mar 11, 2024 · 0 comments
Assignees

Comments

@clstaudt
Copy link
Collaborator

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.

@clstaudt clstaudt self-assigned this Mar 11, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant