glastonbury | R Documentation |
A dataset from Field, A. P. (2023). Discovering statistics using R and RStudio (2nd ed.). London: Sage.
glastonbury
A tibble with 810 rows and 5 variables.
More fictional data about people stinking at music festivals. The same biologist who was worried about the potential health effects of music festivals and collected data at a heavy metal festival (Download Festival), was worried that her findings might not generalize. To find out whether the type of music a person likes predicts whether hygiene decreases over the festival the biologist measured hygiene over the three days of the Glastonbury Music Festival, which has an eclectic clientele. Her hygiene measure ranged between 0 (you smell like you've bathed in sewage) and 4 (you smell like you've bathed in freshly baked bread). The biologist coded the festival-goer's musical affiliations into the categories 'hipster' (people who mainly like alternative music), 'metalhead' (people who like heavy metal), and 'raver' (people who like dance/ambient stuff). Anyone not falling into these categories was labelled 'no subculture'. The object contains the following variables:
ticket_no: the ticket number of the participant as a factor
subculture: The musical subculture with which the participant self-identifies as a factor (no subculture, hipster, metalhead, raver)
day1: the hygiene score from 0 (eau de toilet) to 4 (eau de toilette) on day 1 of the festival
day2: the hygiene score from 0 (eau de toilet) to 4 (eau de toilette) on day 2 of the festival
day3: the hygiene score from 0 (eau de toilet) to 4 (eau de toilette) on day 3 of the festival
change: the change in hygiene score from day 1 to day 3 of the festival
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