{"version":"1.0","type":"rich","title":"loading_data_NH_2_solar_data_data_transformation","description":"This example loads a CSV of daily solar power generation data from Bloomington Parks & Rec and transforms it for analysis. The visualization initially displays the parsed data as JSON text in a `
` element, showing categorical fields like address and department alongside quantitative metrics like watt_hours and latitude. It uses d3.csvParse to load the dataset, then coerces numeric columns with the unary plus operator. A d3.flatRollup operation groups records by address and counts observations, logging an array of `{address, count}` objects to the console. The code demonstrates data loading, type conversion, and aggregation before any visual rendering occurs.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"","width":960,"height":500,"cache_age":3600}