{"version":"1.0","type":"rich","title":"Fork2 of 1116 of HW3 Loading and Parsing CSV Data","description":"This example visualizes Spotify track data by comparing the distribution of energy levels between songs with high popularity (>33) and low popularity (<33). The visualization uses grouped bar and line charts to show counts of tracks across five energy bins, from 0 to 1. The code loads CSV data via Plotly.d3.csv, processes it with conditional logic, and renders the results using Plotly.newPlot with both bar and scatter traces. The Spotify dataset is fetched from a GitHub gist URL, and the chart displays two distinct series for popularity comparison.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/d581511ce6c54507ac0e3efd5051dfe0?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}