What is RMarkdown?

Communiceren met data in de 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
Communiceren met data in de Tidyverse

1 Taken from rmarkdown.rstudio.com (http://rmarkdown.rstudio.com/images/RMarkdownOutputFormats.png)
Communiceren met data in de Tidyverse

Communiceren met data in de Tidyverse

Behind the scenes

1 R for Data Science (http://r4ds.had.co.nz/r-markdown.html)
Communiceren met data in de Tidyverse

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)
Communiceren met data in de Tidyverse

Let's practice!

Communiceren met data in de Tidyverse

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