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Video Game Sales
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 descriptionThe 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.csvwith your own data - Replace the parsing logic in
index.jswith 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.mdto indicate the original data source