🌍 Public
Penguins Arquero Test
This example demonstrates how to load and parse the Palmer Penguins dataset using Arquero’s table operations and D3’s CSV parsing utilities. It fetches the raw CSV from a remote GitHub URL, applies automatic type inference to convert quantitative fields like bill length and body mass into numbers, and logs the resulting table structure to the console. The visualization gallery template showcases data import and transformation workflows, highlighting the interoperability between Arquero’s `loadCSV` and D3’s `d3.csv` with `d3.autoType`.
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
MIT Licensed
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