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Oomniaabouhassan@gmail.com
Last edited Sep 4, 2024
Created on Sep 4, 2024

This example displays the first row of the Palmer Penguins dataset as a formatted JSON object in a preformatted text block. It imports penguin measurements from a CSV file, converts the quantitative fields—bill length, bill depth, flipper length, and body mass—to numbers using unary plus operators, and then renders the parsed record with a large font size. The visualization uses the native `JSON.stringify` method and a template literal to present the data structure, demonstrating a minimal approach to loading and inspecting tabular data in VizHub.

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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