Rows: 195 Columns: 17
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (3): Breed, Coat Type, Coat Length
dbl (14): Affectionate With Family, Good With Young Children, Good With Othe...
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rename the column names to "breed", "affectionate", "children", "other_dogs", "shedding", "grooming", "coat_type", "coat_length".
rescale all of the ratings columns by subtracting 1 from all of the values
create a new column called coat that combines the coat_type and coat_length columns by pasting the values of those two columns separated by -
create a new column called shed that dichotomizes shedding such that values of 3 and above are “A lot” and values below 3 are “Not much” and places the new column after shedding
calculate the mean rating for the children and other_dogs columns in a column called mean_rating and place it after other_dogs