Gist b541552eb18726aea9a989003304b013

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Gist b541552eb18726aea9a989003304b013

✓ Published0🌍 Public

Last edited Sep 13, 2022

Created on Sep 13, 2022

This visualization shows a network of Premier League players as connected nodes, with each player’s node size and position determined by a custom weight calculation. The code, written in Python, uses a pandas DataFrame to compute an `in_weight` for each player by combining fixture difficulty, current form, and the chance of playing this round, with negative weights clamped to zero. The rendering approach is not shown in the code, but the visible structure suggests a force-directed or scatter-plot layout, likely built with a library like D3.js or Plotly. The data source is a player statistics table, with the weight influencing node prominence.

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