This example visualizes the distribution of Spotify track energy for tracks grouped by popularity, comparing tracks with popularity above and below 33. It loads a CSV dataset using Plotly’s `d3.csv`, then processes the rows by binning energy values into five ranges and normalizing the counts as proportions. The resulting bar and line traces for both groups are rendered in a single Plotly chart using `Plotly.newPlot`, with the CSV fetched via an AJAX call from a GitHub gist URL.