Factors

For these exercises, we’ll use the dog breed traits data set.

1. Load tidyverse, import dog_breed_traits_clean.csv to traits.

# >

2. Convert both coat_type and coat_length into factors using across() and save as traits2.

# >

3. Check the levels for both columns, one using a pipe and one without using a pipe.

# >

4. Reorder the levels for coat_length to be Short, Medium, Long (reassigned to traits2) and then check the levels.

# >

5. Reorder the levels for coat_type to be in the order of the most to least frequent coat type and then check the levels.

# >

6. Relabel coat_length to be Stubby, Mid, and Lush rather than Short, Medium, and Long.

# >

7. The new AKC standard subsumes Rough coats with Wiry coats and Silky with Wavy. Please update the coat_type variable accordingly.

# >