{"version":"1.0","type":"rich","title":"Transforming data using d3","description":"This example demonstrates how to group a collection of ethnographic artefact records by date using the `d3.nest()` method. The visualization is generated from SPARQL query results, accessed via the Web API using `d3.json`, and the data is subsequently cleaned and transformed to calculate a count of records per entry. The final visualization is not rendered; instead, the process focuses on logging the transformed, nested data structure to the console, showcasing the data preparation stage before any visual encoding takes place. The code relies on the D3.js v5 library and its built-in nesting and data-loading utilities.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/e700b2b24f3c4fcf810bfc37a36d28b8?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}