using url Transforming Data

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using url Transforming Data

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Last edited Jun 10, 2023

Created on Jun 10, 2023

This example demonstrates how to fetch and transform CSV data from a remote URL using D3 v7. It loads the classic Iris flower dataset, parses it with `csvParse`, converts string values to numbers, and then applies `flatRollup` to calculate the average sepal length for each species. The resulting summary is rendered as a JSON object in a `<pre>` element, showing a simple text-based visualization of aggregated data. The code uses `fetch`, `select`, and `setState` for asynchronous data loading and re-rendering.

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Examples of various data transformation techniques, specifically binned aggregation.

MIT Licensed

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This example demonstrates data transformation by loading the classic Iris dataset from a CSV file and computing the average sepal length for each species. It uses D3's `csvParse` to parse the data, `flatRollup` and `sum` to aggregate values, then displays the resulting summary as JSON text in a `<pre>` element. The visualization highlights D3 v7’s modular import system and local ES6 modules, with a simple state management pattern that asynchronously fetches and processes the data before rendering.

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