Merging columns

For these exercises, we’ll use the dog breed traits data set along with the data on breed popularity rankings.

1. Load tidyverse, download and import dog_breed_traits_clean.csv to traits, and import dog_breed_ranks.csv to ranks. Make sure to download both files from the website, as they have changed or are new.

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2. Which breeds differ between traits and ranks?

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3. Merge traits and ranks (in that order) to produce a data frame that includes breeds shared by both data sets. How many rows are there?

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4. Merge traits and ranks (in that order) to produce a data frame that includes all breeds included in either data set. How many rows are there?

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5. Merge traits and ranks (in that order) to produce a data frame that includes only breeds included in traits. How many rows are there?

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5. Merge traits and ranks (in that order) to produce a data frame that includes only breeds included in ranks. How many rows are there?

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6. Make table4a and table4b tidy then join them to replicate table1.

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