This pie chart visualizes the distribution of kernel types (Kama, Rosa, Canadian) from a dataset loaded via a remote URL. It shows the proportional counts of each category as colored slices, with a dynamically generated legend displaying percentages. The chart uses the Chart.js library on an HTML canvas, fetching data from a gist file and parsing comma-separated rows. The code sets fixed canvas dimensions, disables responsiveness, and computes category frequencies by iterating through the data.