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CSV Dataset - Temperature - Alexander Bell
This example displays the first row of a CSV dataset containing annual temperature anomalies for various countries, parsed with a simple data-loading script. It shows the raw values for a single country in a JSON-like format using a `<pre>` element. The code imports the dataset from `annual-temperature.csv`, converts the `Year` and `Temperature_anomaly` fields to numbers, and renders the first data object as text with a specified font size. No visualization library is used; the example relies on plain JavaScript and HTML.
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