Our courses are highly interactive and highly honed.


Data Journalism with R

Working in a spreadsheet can get messy and confusing. Especially if you have a very large dataset and need to perform many operations. You have to document each step to be able to repeat the same analyses later on. Fortunately there is R.

With a few simple lines of code you can do the same things in R as in a spreadsheet: sorting, filtering, grouping (pivot tables) and calculations, but now in a clear workflow that can easily be changed, repeated (for example with a new dataset) and shared.

The entire work process, from scraping, cleaning and analysing to calculating, visualizing and exporting the data, can be executed in R. Moreover, combining datasets in R is a piece of cake. In a short time R has conquered the hearts of many data journalists. Experience for yourself why, in this one- or two-day workshop.


Getting to grips with R
· Introduction in R and Tidyverse (What is it?)
· The advantages of R
· Guided tour through R Studio
· Six basic functions for data analysis in R
· Exercises with current European data on industrial and agricultural pollution
· Combining datasets
· More exercises

Extend your workflow in R
· Summary of part 1
· Simple statistics with R
· Creating graphs in R
· Cleaning up data in R
· Tips for further study

Things you can do in R after this course:
· create rankings
·  search for typical examples in data (based on averages, medians and modes)
· search for exceptions (outliers)
· spot trends (calculate percentage changes)
· calculate percentages of total (ratios)
· group and select data 
· merge multiple datasets into one 
· clean data on- create graphs in R


Some experience with spreadsheets makes it easier to follow this course, but is not necessary.


You will  get a list of online tutorials and an extensive workbook with examples from the course. In this course you will use your own laptop. The required software (R and R Studio) is free and can be downloaded and installed from the internet in advance.