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Fork of Loading and Parsing ManCity 2022-2023 Data

✓ Published1🌍 Public
Tthom
Last edited Aug 9, 2023
Created on Aug 9, 2023

This example displays basic metadata about Manchester City’s 2022–2023 match results, showing the dataset’s size in kilobytes, row count, and column count in large text. It loads a CSV file from a GitHub gist using `d3.csv` and applies `d3.csvFormat` to measure the parsed data’s size. The data originates from The Fishy, reformatted with date adjustments. The visualization uses D3 v5 and renders the summary in a `pre` element, with commented-out alternatives demonstrating `fetch`, `async/await`, and callback-style parsing.

AI-generated description

This program loads and parses the [ManCity's 2022-2023 Results Dataset] which were scraped and reformatted from [The Fishy] (https://thefishy.co.uk/team-results.php?team=Man%20City&season=20)

MIT Licensed

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