irisデータを使ってggplot2でグラフを描きたいです。 このコードでは、ggplot関数を使用して、データの源となるirisデータフレームを指定し、aes関数を使用して、x軸にSepal.Length、y軸にSepal.Width、色にSpeciesを割り当てました。geom_point関数は、散布図を描くために ...

labs() 関数を使って、プロットのタイトルを指定できます。使用方法は、 themes() と同様で、 ggplot() + geom_point() + に続き ...

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 ...

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 ...

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 ...

In this tutorial we create basic visualizations (histograms and box plots) using R. The purpose of these basic visualizations is to see the distribution of a particular variable. The distribution ...

for geom brain to be released (dev branch), we need data merging to the atlas to work better. currently the sf-based geom is working on a very basic level, in that it can take an atlas and plot it, ...

In this exercise we’ll look at plots of a single numeric variable. In that case we’re interested in the distribution of the variable, which can usually be described in terms of: Start by running the ...