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R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.
A python package with standard data visualization functions with reasonable defaults for use in Exploratory Data Analysis and Model Diagnostics.
Self practice with the book: Analyzing baseball data with R
Simple functions to create ggplot2 plots to visualize single cell expression data in 2D dimensionality reductions to avoid overplotting. Includes a wrapper for Seurat objects.
Collection of custom made helpful GIS Layers