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 ...

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 ...

# 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 ...

Create R data visualizations easily with a few lines of simple code using the ggcharts R package. Plus, the resulting charts and graphs are customizable ggplot objects. ggplot2 is an enormously ...

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 ...

install.packages("tidyverse") library(ggplot2) df <- data.frame( subject = c("x1", "x2", "x3", "x4", "x5", "x6"), weight = c(45, 53, 56, 72, 65, 50)) head(df, 2) g ...