Choosing among the four verbs

In this chapter you've learned about the four verbs: select(), mutate(), relocate(), and rename(). Here, you'll choose the appropriate verb for each situation. You won't need to change anything inside the parentheses.

This exercise is part of the course

Data Manipulation with dplyr

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Exercise instructions

Choose the right verb for changing the name of the unemployment column to unemployment_rate
Choose the right verb for keeping only the columns state, county, and the ones containing poverty.
Calculate a new column called fraction_women with the fraction of the population made up of women, without dropping any columns.
Keep only three columns: the state, county, and employed / population, which you'll call employment_rate.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Change the name of the unemployment column
counties %>%
  ___(unemployment_rate = unemployment)

# Keep the state and county columns, and the columns containing poverty
counties %>%
  ___(state, county, contains("poverty"))

# Calculate the fraction_women column without dropping the other columns
counties %>%
  ___(fraction_women = women / population)

# Move the region column to before state
counties %>%
  ___(region, .before = state)

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