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Transforming data using d3

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Last edited Nov 13, 2019

Created on Nov 13, 2019

This example demonstrates how to transform SPARQL query results about ethnographic artefacts by cleaning and nesting the data per country using d3.nest(), then calculating the number of records per country. It loads data from a live SPARQL endpoint via d3.json and applies a custom cleanData function to extract property values. The transformed data structure, with country keys and value counts, is logged to the console, showing the grouping and aggregation process using d3 v5.

AI-generated description

Transforming data using d3

Concept

I'm going to group data using nest() and to add some calculated values. I'll try to do this based on SPARQL data about ethnographic artefacts

Inspiration

Some nesting examples

MIT Licensed

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