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Transforming Data

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LLauren
Last edited Jan 29, 2023
Created on Jan 29, 2023
Forked from Loading Data

This example demonstrates unidirectional data flow in D3 v7 by loading the Iris flower dataset and transforming it through a series of data-processing APIs. The visualization initially renders the raw CSV data as JSON text, then uses `csvParse` to convert the spreadsheet into typed objects, converting numeric columns with unary plus operators. It showcases `group`, `flatGroup`, `rollup`, `flatRollup` for aggregations by species, `sum` for computing average sepal lengths, and `bin` for histogram-like frequency distributions of sepal lengths. The state management pattern uses explicit `setState` calls to trigger re-renders, contrasting with typical D3 data joins.

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A circle that follows the mouse using unidirectional data flow.

MIT Licensed

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