{"version":"1.0","type":"rich","title":"Datavis 2020 Episode 15 - Parsing CSV Data with D3","description":"This example shows the size and structure of a CSV dataset by displaying its kilobyte size, row count, and column count as large text. It loads a remote CSV file containing CSS named colors using d3.csv, which parses the data asynchronously. The code also includes an alternative commented-out approach using the Fetch API with async/await and d3.csvParse to achieve the same result. The displayed values are generated by d3.csvFormat to measure the data length, plus data.columns to count columns.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/83d42473c11b4ae0b7d1b10eab9e5959?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}