{"version":"1.0","type":"rich","title":"Keep of 1116 of HW3 Loading and Parsing CSV Data","description":"This example visualizes the distribution of Spotify track energy levels, split into two groups based on popularity (above or below 33). It shows the count of tracks across five energy bins using both bar and line chart traces. The code loads a CSV file via the Plotly.js `d3.csv` method, processes the data by iterating through rows and incrementing bin counts, then renders the result in a DOM element using `Plotly.newPlot`. The chart is embedded in a React application, with the data source being a remote Spotify tracks dataset hosted as a GitHub gist.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/6d60d9f110424f0687dbb82fd602eebf?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}