{"version":"1.0","type":"rich","title":"ICE5-Tejaswi_Tummala - Learning and Parsing the CSV data with D3.js","description":"This example demonstrates the process of loading a CSV dataset from a remote URL using D3.js. The visualization presents the parsed data's metadata as a text message, including its size in kilobytes, the number of rows, and the column count. It utilizes the `d3.csv` function to fetch and parse the data, then employs `d3.csvFormat` to calculate the dataset's size. The interface displays a linked dataset source, an SVG house image, and the computed data summary within a styled HTML page. The code is implemented in vanilla JavaScript, leveraging D3 version 7.3.0.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/c5dc04fef1fa455c949e286e532409a5?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}