Loading twitch data

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Loading twitch data

✓ Published0🌍 Public

Last edited Feb 12, 2023

Created on Jan 22, 2023

This example demonstrates the process of loading and parsing a Twitch streaming dataset for D3.js visualization. The visualization initially displays a raw JSON representation of the data, which is fetched from a local CSV file using the `fetch` API. The code parses the CSV string with `csvParse` and converts numeric columns to numbers. The data includes streamer metrics like watch time, peak viewers, and followers. The example uses `select`, `selectAll`, and `.join` from D3 v7 to render the data as a text preview, highlighting the loading workflow.

AI-generated description

This data consists of different things like number of viewers, number of active viewers, followers gained and many other relevant columns regarding a particular streamer. It has 11 different columns with all the necessary information that is needed.

Source: https://www.kaggle.com/datasets/aayushmishra1512/twitchdata

MIT Licensed

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