Here's your easy-to-use guide to dozens of useful ggplot2 R data visualization commands in a handy, searchable table. Plus, download code snippets to save yourself a boatload of typing.

ggMarginal - Add marginal histograms/boxplots/density plots to ggplot2 scatterplots ggMarginal() is an easy drop-in solution for adding marginal density plots/histograms/boxplots to a ggplot2 ...

I want to keep the graph with frequency/counts, but I want to add a curve representing an ideal normal distribution for each variable. I found a useful post here for a single variable/graph.

Learn about the advantages and disadvantages of using ggplot2, a package for data visualization in R, and how to choose the best tool for your data presentation.

Previous studies have shown how to “fingerprint” certain image processing operation. In this paper, we model the gray-level cumulative distribution of histogram-equalized image as discrete identity ...

Average Scene Cumulative Histogram (ASCH), first introduced in our previous researches, is defined as the average after the sum of histograms of all frames in a scene; however, many important ...