install.packages("readr") # readr - for importing data (e.g. reading .csv files)
install.packages("tidyverse") # tidyverse - for cleaning, transforming, and organising dataPackages for Processing Data
Data can be created directly in R (typically as data frames), or imported from external sources such as files, APIs, or web scraping. In this training, we will work with a .csv (comma-separated values) file and prepare it for analysis.
Datasets are often not organised in a way that analysis tools expect, so they need to be cleaned and reorganised (“tidied”) before analysis.
These steps are essential for preparing data in a format that can be used to build a network. Install these now and a prompt will be given in the training when you need to load them (i.e. using library()).