Scatter Plot

Scatter Plots form the foundation of exploratory data analysis across all scientific disciplines, revealing patterns, correlations, and outliers. This extensive collection showcases diverse scatter plot applications from basic correlations to advanced techniques like UMAP dimensionality reduction and PCA visualization. Essential for researchers in genomics, drug discovery, and quantitative biology analyzing high-dimensional data, clustering results, or multivariate relationships. Discover best practices for creating publication-quality scatter plots with proper scaling, coloring, and annotation using ggplot2, matplotlib, seaborn, and specialized tools for scientific data visualization.