Best Practices for Data Visualisation

visualization
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Author

Dr. Joscelin Rocha-Hidalgo

Published

April 17, 2025

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By Andreas Krause, Nicola Rennie, and Brian Tarran

This comprehensive guide by the Royal Statistical Society offers insights and advice on creating effective data visualisations. It covers both the art and science of data presentation, aiming to make data outputs more readable, accessible, and impactful. The guide includes principles of visualisation, choosing appropriate chart types, styling for accessibility, and tailoring visuals for RSS publications. It also provides references and resources for further learning.​

  1. Link to guide: https://royal-statistical-society.github.io/datavisguide/

Three scatterplots comparing predicted and observed values. Each plot contains a black 45-degree line representing perfect prediction and a red smoothed curve indicating the trend of actual data points. Points are scattered along the line with some deviation. The plots vary in aspect ratio, but all show general agreement between predicted and observed values, with some nonlinear patterns captured by the red line.

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