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Fork of CSV Dataset Template - Penguins

✓ Published0🌍 Public
PPavanmahaveer Singara
Last edited Mar 16, 2024
Created on Mar 16, 2024

This fork of the CSV Dataset Template loads the Palmer Penguins dataset from a local CSV file, parsing quantitative attributes like bill length, bill depth, flipper length, and body mass into numeric values while retaining categorical variables such as species, island, and sex. The visualization demonstrates how to import and prepare tabular data for use in VizHub, with parsing logic applied to the raw CSV before rendering. The example is intended as a reusable template for users to replace with their own datasets and customize the parsing logic accordingly.

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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