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Movies 1910-2024

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c70681a61bc44d11aa4737841b893e86

Movies 1910-2024

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Mmzujewski@wpi.edu
Last edited Sep 12, 2024
Created on Sep 5, 2024

This example displays the raw JSON encoding of the first movie record from the 9k_Movies.csv dataset, showing fields such as title, release date, and user rating. The visualization serves as a minimal data preview, converting the parsed CSV data into a readable object for inspection. Using React and WebGL rendering, the code imports the CSV file, converts rating and vote count to numeric values, and uses `container.innerHTML` to render the JSON stringified with two-space indentation at a font size of 36 pixels, initializing with the dataset’s first entry.

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