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Fork of CSV Dataset Template - Penguins

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LLiuYipeng
Last edited Jun 14, 2024
Created on Jun 14, 2024

This example loads the Palmer Penguins dataset from a CSV file and parses its quantitative measurements into numbers. It displays the first row of the parsed data as a formatted JSON object, making it easy to inspect the structure and types. The code uses the native `JSON.stringify` method to render the output and relies on the VizHub import system to access the `data.csv` file. The forkable template demonstrates how to prepare a dataset for use in other visualizations.

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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