Tidyverse is a collection of R-packages used for data wrangling and visualization that share a common design philosophy. The goal of this course is to get you up to speed with the most up-to-date and essential tidyverse tools for data exploration. After attending this course, you’ll have the tools to tackle a wide variety of data wrangling and visualization challenges, using the best parts of R tidyverse.
This course covers the most essential tools from 3 main R tidyverse packages that are frequently used in general data analysis procedure.
Lectures with R code demonstrations are blended with hands-on exercises which allows you to try out the tools you’ve seen in the class under guides.
R offers many first class features for statistics and data science. One of these, is certainly Rmarkdown, that allows seamless integration of analysis (code) and text. This greatly improves reproducibility, reduces copy-paste- and others errors and enhances possibilities for automation.
R markdown offers three main types of output: pdf, html and docx. The first session introduces the basic framework, the output-specific possibilities, the bookdown-extension and the easy and rewarding move to its recent less platform dependent successor Quarto.
Schedule:
- 2/12 9u-16u Online
- 3/12 13u-16u On campus
- 6/12 13u-16u Online
- 10/12 9u-12u On campus