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AAlena Egorova
Last edited Jan 31, 2023
Created on Jan 31, 2023
Forked from Transforming Data

This example illustrates data transformation techniques on the classic Iris dataset, showing how to summarize raw CSV data into aggregated statistics. The visualization computes the average sepal length for each iris species using d3.flatRollup and d3.sum, then renders the resulting summary as a JSON object in a preformatted text block. The code demonstrates the use of d3.csvParse for data loading and d3.select for DOM manipulation.

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Examples of various data transformation techniques, specifically binned aggregation.

MIT Licensed

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This example summarizes the classic Iris flower dataset by grouping measurements by species and displaying the average sepal length for each in a simple preformatted text output. The visualization demonstrates D3.js data transformation workflows by loading a CSV file with `d3.csvParse`, converting string values to numbers, and then using `flatRollup` with `sum` to calculate group means. The resulting summary is rendered as JSON text in the page, showing how raw tabular data can be aggregated into concise, readable statistics.

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