Turnkey Visualisations for Exploratory Data Analysis
Optimize Axis Ordering Directly from a Data Frame
ggEDA: Turnkey Visualisations for Exploratory Data Analysis
Visual Parameters for ggparallel Plots
Relevel Factor by Specified Levels
Reverse the Levels of a Factor
Compute the Total Path Distance for an Axis Order
Make strings prettier for printing
Parse a tibble and ensure it meets standards
Count Edge Crossings for All Numeric Column Pairs
Count Edge Crossings in Parallel Coordinates
Create a Distance Matrix from Edge Crossing Data
Reorder Factor Levels by Descending Frequency
Parallel Coordinate Plots
Visual Parameters for ggstack Plots
AutoPlot an entire data.frame
Determine Whether Two Edges Cross
Compute Mutual Information
Optimise the Ordering of Axes Using Distance Matrix
Generate Permutations of the Integers 1..n
Generate All Permutations of Axis Names
GGplot breaks
Provides interactive visualisations for exploratory data analysis of high-dimensional datasets. Includes parallel coordinate plots for exploring large datasets with mostly quantitative features, but also stacked one-dimensional visualisations that more effectively show missingness and complex categorical relationships in smaller datasets.
Useful links