What is RMarkdown?

Communicating with Data in the Tidyverse

Timo Grossenbacher

Data Journalist

What you have done so far

...loaded the necessary libraries
...preprocessed the data with mutate() and filter()
...defined a custom theme
...created a dot plot
...polished that plot and made it fit for mobile screens

¹ Taken from rmarkdown.rstudio.com (http://rmarkdown.rstudio.com/images/RMarkdownOutputFormats.png)

Behind the scenes

¹ R for Data Science (http://r4ds.had.co.nz/r-markdown.html)

Reproducibility

Advantages

others can reproduce and question your work
you can automate your workflow

Prerequisites

the code needs to be executable
the data needs to be provided or at least linked to
(the software environment needs to be known)

Let's practice!

Communicating with Data in the Tidyverse

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