The use of R in the data science field has increased enormously in the last few years. One very useful toolkit for a wide variety of analyses is the ‘tidyverse’: a collection of R-packages used for data manipulation, exploration and visualisation that share a common design philosophy. Tidyverse packages are intended to make statisticians and data scientists more productive by guiding them through workflows that facilitate communication, and result in reproducible work products.

This is a four hour workshop, were you will learn:

The difference between tidy and untidy data

How to create tidy datasets and manipulate them using the main tidyr and dplyr verbs

Integrate data visualization into your workflow using ggplot2

Use tidyverse functions to research biological problems

 
Requirements