Fork of Fork of CSV Dataset Template - Penguins
This example demonstrates a minimal fork of the CSV Dataset Template, using the Palmer Penguins dataset loaded from a local `data.csv` file. The visualization parses quantitative attributes—such as bill length, bill depth, flipper length, and body mass—into numbers, while retaining categorical fields like species, island, and sex. The data is rendered in a simple scatter plot (or similar) using D3, and the template includes instructions for forking, replacing data, and updating the README. The code is available under the MIT license, authored by NYARANGA-ROB, and is intended as a starting point for importing and exporting custom datasets in VizHub.
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