Format and histograms
A/B designs consist of two groups, each containing data from different participants. This means a long format dataset is ideal. To get an understanding of the groups' data, histograms can be created, which are analyzed in the A/B tests to determine if they are significantly different.
A company has collected data on their employees and is interested in investigating whether those who are social drinkers, Drinker.yes are absent from work more often than those who are not social drinkers, Drinker.no. Transform the dataset from wide to long, then create a histogram of the social drinking groups and how often they are absent from work.
The absenteeism dataset has been loaded.
This exercise is part of the course
A/B Testing in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Load the libraries needed
library(___)
library(___)
# Transform the data from wide to long
___ <- ___ %>% pivot_longer(___, ___, ___) %>% ___