{"version":"1.0","type":"rich","title":"CSV process","description":"This example demonstrates how to load and process a CSV file containing correlation data for BERT, transforming each row into a flat list of source-target-value objects. The code uses D3 v7’s `d3.csv` to fetch the data from a GitHub gist URL, then applies custom mapping and flattening functions to restructure the dataset. The processed result is logged to the console, showing a manual approach to data wrangling without any visual rendering or chart output.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/8e1d5ab1d3fa483f96e063171489752b?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}