Viewing a saved revision (read-only)
556a967a20fc472587bcb0147b14aec0
NFL-Passing-Yards-2023
This visualization displays the first row of NFL 2023 passing statistics as a formatted JSON object, showing player performance metrics. The code loads data from a CSV file using `import data from './passingYards.csv'` and converts all numeric attributes to numbers via a loop. It uses plain HTML `<pre>` elements with adjustable font size to render the data, with no additional visualization libraries. The example comes from pro-football-reference.com and serves as a raw data preview for further exploratory visualization.
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