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Transforming Data

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LLakshmanRangisetti
Last edited Jun 14, 2023
Created on Jun 14, 2023
Forked from Hello VizHub

This example shows the average sepal length for each iris species from a CSV dataset of flower measurements. It first loads the data with `fetch` and parses it using `d3.csvParse`, then groups and aggregates the values with `d3.flatRollup` and `d3.sum`. The resulting summary is rendered as formatted JSON text inside a `pre` element using D3's `select` and data joins. The visualization demonstrates D3 v7 loading via UNPKG and local ES6 module imports.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

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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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