Display graphs in rmarkdown github how to#
Display graphs in rmarkdown github code#

It seems too easy to be true, doesn't it? -) p$ggplotly(plot) Send ggplot plot to Plot.ly using ggplotly. Plot <- ggplot(df.l, aes(day, revenue, group = segment, color = segment)) + # Build Data FrameĬolnames(df) <- c('date', 'revenue', 'target', 'day')Ĭolnames(df.l) <- c('day', 'segment', 'revenue') In this second example, we will use the data from above (x, y1, y2) to first create a standard plot with ggplot2 then show how easy it is to re-create it with Plot.ly.

Display graphs in rmarkdown github code#

Then, paste the iframe code in between a pair of backticks outside of an r code chuck so it's rendered within as html within the RMarkdown file once knitted: add it to your R Markdown document in the inline r code syntax so it's rendered as html by knitr). Paste the following below the previous r code chunk (i.e. Once we have all the R packages we need loaded, we can then setup our plot.ly R API connection: # Load Plot.ly Just leave a comment below or shoot me an email at my Contact page library('knitr') If you have any questions or need some further help, I'd be more than happy to lend a hand in any way I can. The nitty-gritty details behind what's needed and why are beyond the scope of this post. Plot.ly + R Markdown Exampleįirst, let's set the RMarkdown options and load all the packages we need. That way, you'll be able to more fully understand the process and be ready to customize this dashboard-style template for your own use.

Display graphs in rmarkdown github how to#

But before I share how to do this, I'd like to also show in more detail how to built and embedd a Plot.ly plot as an iframe within a single page using RMarkdown and Plot.ly's R API. It a super-simple-yet-amazing way to render a ggplot graph (built locally in R) in Plot.ly. Recently, the Plot.ly team has released another function called 'ggplotly'. In a previous post- Google Analytics, R & Plot.ly, I shared an example of how to create a heatmap throught Plot.ly using Google Analytics data.