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 Pareto chart combining descending-sorted bars (by frequency or count) with a cumulative percentage line overlay on a secondary y-axis. This visualization helps identify the most significant factors in a dataset by applying the Pareto principle (80/20 rule), making it one of the "7 Basic Tools of Quality" in Six Sigma and quality management. It reveals which categories contribute the most to an overall effect, enabling data-driven prioritization.
Preview render from the lets-plot implementation.
