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Video Game Sales

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46498730a5854189a61027f3e0d2c838

Video Game Sales

0 stars0🌍 Public
SSamuel Karkache
Last edited Sep 10, 2024
Created on Sep 4, 2024

The example displays the first record of the Video Game Sales dataset as a formatted JSON object, revealing its structure for tasks like discovering top-selling genres or comparing regional sales. It imports data from a local CSV file and converts seven specified numeric attributes from strings to numbers before serializing the first element. The visualization renders this data using a simple HTML `<pre>` tag with a configurable font size, demonstrating a minimal approach to data inspection without relying on a charting library. This setup provides a transparent view of the dataset’s fields, enabling users to understand the available variables for subsequent analysis.

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