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Adding Interaction for Scatter Plot - FIFA19 Players Dataset - Sitanshu Rupani

✓ Published1🌍 Public
SSitanshu Rupani
Last edited Oct 6, 2021
Created on Oct 4, 2021

This interactive scatter plot visualizes player attributes from the FIFA19 English Premier League dataset, allowing users to dynamically select which quantitative or categorical attributes appear on the x- and y-axes via dropdown menus. The D3 v6 code uses `scaleLinear` and `scalePoint` for numeric and categorical mappings, with axes rendered through `axisLeft` and `axisBottom`. Data points are drawn as SVG circles with opacity, and transitions animate position changes and circle growth over 1000 milliseconds when axes change. The dataset is loaded as CSV from a GitHub Gist.

AI-generated description

An interactive viz showcasing a scatter plot with user customisable axes.
The user can choose from a variety of choices of player attribute to tailor their analysis

This dataset contains attributes and demographic details of all players in the English Premier League. The dataset contains player attribute such as passing, shooting, crossing, etc. as seen in FIFA games.

The Source for this FIFA19 Player Dataset.

MIT Licensed

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