Editor’s note: This is a guest post by Matt Sundquist from Plot.ly. Ggplotly and Plotly’s R API let you make ggplot2 plots, add py$ggplotly(), and make your plots interactive, online, and drawn with D3. Let’s make some. 🔗 1. Getting Started and Examples Here is Fisher’s iris data. library("ggplot2") ggiris <- qplot(Petal.Width, Sepal.Length, data = iris, color = Species) print(ggiris) Let’s make it in Plotly. Install: install.packages("devtools") library("devtools") install_github("plotly", "ropensci") Load. library("plotly") ## Loading required package: RCurl ## Loading required package: bitops ## Loading required package: RJSONIO Sign up online, use our public keys below, or sign up like this:
