Closes: #7

@fabian-s note the following:

• I've removed the ex (exercise) column since I've filtered for the bicycle crunch data. Perhaps, naming the dataset bicycle might make more sense.
• I've converted the factor variables to factor().
• I've not included the raw zip files, since the files are on GitHub, we could add a download script incl. unzipping in the beginning to make it more reproducable.
• we could also bucket the ratings like @HerrMo did, basically the following:

df |> mutate(coarse_rat = case_when(
  rating <= 1.5 ~ 1,
  rating > 1.5 & rating <= 2.5 ~ 2,
  rating > 2.5 & rating <= 3.5 ~ 3,
  rating > 3.5 & rating <= 4.5 ~ 4,
  rating > 4.5 ~ 5
))