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Analysis and identification of common errors in data representation and charting.
Distinct from Data Visualization: Focuses on identifying mistakes and bad practices rather than the library used for rendering.
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FriendsDontLetFriends is a scientific data visualization guide and framework designed to help users create accurate plots while avoiding common data representation mistakes. It provides a collection of scripts and guidelines for selecting distribution plots, color scales, and layouts that accurately represent complex experimental data. The project distinguishes itself through specialized toolkits for revealing hidden patterns in large datasets. It includes systems for heatmap optimization via dimension reordering and outlier management, as well as spatial layout algorithms to improve the inte
Identifies common pitfalls in data visualization through a curated collection of examples and scripts.