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 interpretability of relationship data in network graphs.
The framework covers a broad range of visualization capabilities, including data distribution analysis, proportional data representation, and multifactorial experiment analysis. It focuses on applying best practices such as using faceting and grouping for complex results and employing colorblind-friendly palettes for numerical data.
