Matching patterns

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

1. Load tidyverse, import dog_breed_traits_clean.csv to traits, and extract the breed column into an object called breeds that randomly shuffles the breeds using 12 as a seed for randomization.

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2. View the breeds ending with the letter “s”.

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3. Create a logical vector showing whether breeds have at least two words in their names.

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4. Extract the hounds (but don’t release them). That is, return a vector of all breeds that include the string “hound” or “Hound”.

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5. Extract the breeds that include the following pattern “<wildcard>ep”.

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6. OK, maybe English Buttdragger isn’t the proper AKC name for this breed. Replace English Buttdragger with English Chaser.

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7. Replace all instances of “English” with “British” and then return the breeds that include “English” or “British” in them (to check our work).

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8. Extract the Spaniels and then separate the breed names into different strings for each word and create a matrix out of it.

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