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Fork of CSV Dataset Template - Penguins

✓ Published0🌍 Public
Oocasfre@gmail.com
Last edited May 8, 2024
Created on Apr 30, 2024

This gallery example presents a forkable CSV dataset template built around the Palmer Penguins data. It loads the penguins.csv file and parses its quantitative attributes into numbers for downstream visualization use. The code uses JavaScript's `d3.csv` parsing logic and provides a simple, reusable structure for importing custom datasets into VizHub. The visualization itself does not render a graphic; instead, it focuses on data preparation and export, with the README documenting the original source and instructions for forking.

AI-generated description

The Penguins Dataset, loaded and parsed as CSV.

Fork and modify this template to import your data to VizHub and export it for use in other vizzes! To do that:

  • Fork this viz
  • Clear out the README
  • Update the README with details about your dataset (including original source)
  • Replace data.csv with your own data
  • Replace the parsing logic in index.js with your own
  • Set the custom URL so you can import from it easily

Challenge

  • Find 3 datasets on a topic you are interested in
  • For each of those, fork this viz and replace the data
  • Parse the quantitative attributes into numbers
  • Update README.md to indicate the original data source
MIT Licensed

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