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 ...

ggplot2でグラフを作るときいつも同じような色のグラフになってしまう…と感じたりしたことはありませんか？色は、データを視覚的に表現するための最も強力な要素の一つです。第3章はggplot2を使ったグラフの作成方法について紹介してきました。今回は ...

The ultimate goal of any analysis is to *communicate* your results and understandings. Plotting your data is the most effect way to communicate a summary of it to an audience. Today will focus on the ...

# to customize color options in ggplot2. # Learning Goals: # 1) be able to manipulate colors of individual ggplot layers # 2) be able to manipulate colors based on a fill/color specification in aes() ...

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 ...

Normally, one can not use different variables for the same aesthetics such as color in different layers of a ggplot plot. Fortunately, the ggnewscale package resolves this issue. Below is a figure ...

ggplotでどうしても背景を透明にしないといけなくなったので、備忘録も兼ねて書きます。 ggplotのグラフ背景の透過処理について、いろんなサイトがありましたが、個人的に一番楽だったコードを以下に載せておきます。 以下のコードをggplotのコードに追加 ...

There’s a reason ggplot2 is one of the most popular add-on packages for R: It’s a powerful, flexible and well-thought-out platform to create data visualizations you can customize to your heart’s ...

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 this underlying structure you can ...