world cup score
✓ Published2🌍 Public
This visualization displays the first row of the World Cup Score dataset, showing match details such as teams, scores, wickets, and over-by-over run data. It highlights the relationship between the batting team, bowling team, and match outcome, with fields like TotalScoreforTeam1 and TotalWicketforTeam2 visible. The data is parsed from a CSV file using a custom loader and rendered as formatted JSON text via the `main` export, which sets the container’s inner HTML with a `<pre>` element. The code uses standard JavaScript array methods for type conversion and relies on the fetched dataset structure directly.
AI-generated descriptionThe World Cup Score Dataset, loaded and parsed as CSV.
- I want to see the correlation between city and the winning team
- I want to check the importance of TotalScore in the dataset
- I want to check if TotalWicket plays an important role in the outcome.
- I want to analyze if batting team inflences the outcome
- I would like to calculate the run rate per over calculated from OverNumber and RunsScoredinover
MIT Licensed