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Transforming Data

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Iindushashi.g@gmail.com
Last edited Jun 12, 2023
Created on Jun 10, 2023
Forked from Transforming Data

This visualization displays the average sepal length for each iris species in the Fisher Iris dataset, computed from the raw measurements in data.csv. The code first parses the CSV with `d3.csvParse`, converts numeric fields, then uses `d3.flatRollup` and `d3.sum` to aggregate the data by species, calculating the mean sepal length per group. The result is rendered as formatted JSON text in a `<pre>` element, with the data loading process managed through a simple state machine and `fetch` to retrieve the CSV file.

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This example displays the average sepal length for each iris species, computed from the classic Iris dataset. It presents the result as a formatted JSON object rendered in a `<pre>` element, showing a concise text-based summary rather than a graphical chart. The visualization loads the `data.csv` file via `fetch`, parses it with `d3.csvParse`, and converts numeric string fields to numbers. It then uses `d3.flatRollup` with `d3.sum` to calculate the mean sepal length per species, and `d3.select` to update the DOM with the resulting summary.

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