“Understand the tools to read, manipulate, clean, analyze and visualize datasets. This workshop shows via a case study the intuitive and easy-to-learn syntax of the “tidyverse” framework, popular among data scientists.”
– Become familiar with R and its community (CRAN, Rstudio)
– Import & manipulate data with tidyverse, a case study
– Visualization of the data with ggplot2
– Make a report out of your data with Rmarkdown
Be able to use R with the RStudio IDE and profit from the extended R community by downloading packages from CRAN.
Learn how to get help from the community and discover useful packages (tidyverse framework – dplyr, ggplot2, Rmarkdown).
As a Case Study, you will use a dataset provided by the Swiss Federal Office, which describes the occupation by gender in Switzerland between 1970 and 2015.
You will learn how to read in, manipulate and filter your dataset and how to extract useful insights from it. One of the greatest powers of R lays in visualisation. Using ggplot2 you will picture your data to better understand and communicate your results.
Finally we will wrap up our code in a markdown report, which will include our results and our code