Gist 9e7f962de44840b48f6f27bcbe4d8cd8
✓ Published0🌍 Public
CConorAspell
Last edited Apr 1, 2020
Created on Apr 1, 2020
This scatterplot-like visualization maps player names, positions, and scores from a team.csv dataset, encoding score on the y-axis and position on the x-axis. It uses d3.forceSimulation to position overlapping labels and nodes, with a d3.scalePoint for categorical positioning and d3.select to bind data. Each player is represented by a circle colored by position, with a text label showing their name and score. The chart renders in SVG via d3, with axes generated by d3.axisLeft and d3.axisBottom. The visualization highlights scoring distribution across positions, such as high-scoring back-rowers and fly-halves, without additional interactivity.
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