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Natural Disasters
This example displays the first row of a CSV dataset listing natural disaster counts—floods, storms, and droughts—by country, rendered as a JSON object in a large monospace font. The data comes from the Socioeconomic Data and Applications Center, parsed and cleaned with Python before being loaded via `import data from './data.csv'`. Values are explicitly coerced to numbers, then a single record is formatted using `JSON.stringify` and injected into the container’s HTML template literal.
AI-generated descriptionThe Penguins Dataset, loaded and parsed as CSV.
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