Notched Box Plot in Python, R, Julia and JavaScript

Source code in 15 libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, Plotly, plotnine, Pygal, Seaborn; R: ggplot2; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts.

A notched box plot extends the standard box plot by adding notches around the median that represent a confidence interval. If the notches of two boxes do not overlap, this provides visual evidence that the medians differ significantly. This variant is particularly valuable for quick visual hypothesis testing and comparing group medians in statistical analysis.

Renders

• Full-resolution render, light theme
• Full-resolution render, dark theme
• Interactive version, light theme
• Interactive version, dark theme

Preview render from the Bokeh implementation.

Implementations

• Notched Box Plot in Altair (Python)
• Notched Box Plot in Bokeh (Python)
• Notched Box Plot in lets-plot (Python)
• Notched Box Plot in Matplotlib (Python)
• Notched Box Plot in Plotly (Python)
• Notched Box Plot in plotnine (Python)
• Notched Box Plot in Pygal (Python)
• Notched Box Plot in Seaborn (Python)
• Notched Box Plot in ggplot2 (R)
• Notched Box Plot in Makie.jl (Julia)
• Notched Box Plot in Chart.js (JavaScript)
• Notched Box Plot in D3.js (JavaScript)
• Notched Box Plot in Apache ECharts (JavaScript)
• Notched Box Plot in Highcharts (JavaScript)
• Notched Box Plot in MUI X Charts (JavaScript)