GGPLOT is a package that helps in creating fancy data visualisations in R. Most of the Data Analysis requires identifying trends and building models. This article will help you get started creating ...

How to make any plot in ggplot2? ggplot2 is the most elegant and aesthetically pleasing graphics framework available in R. It has a nicely planned structure to it. This tutorial focusses on exposing ...

Note, however, that even after renaming some of the column names, we have one column, '3-gene classifier', that is not strictly a valid name in R as it starts with a number and contains a hyphen.

ggplot(iris) + geom_boxplot(aes(y=Sepal.Width, x = Species)) ggplot(iris) + geom_violin(aes(y=Sepal.Width, x = Species)) ggplot(iris) + geom_violin(aes(x=1, y=Sepal ...

Labeling all or some of your data with text can help tell a story — even when your graph is using other cues like color and size. ggplot has a couple of built-in ways of doing this, and the ggrepel ...

This week we cover ggplot, the grammar of graphics. ggplot is complicated at first but the payoff is worth the effort. ggplot can be combined with other tools to create interactive visualizations. The ...

For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages ...