Exercise

Mapping your data

In combination with mutate(), you can use map() to append the results of your calculation to a dataframe. Since the map() function always returns a vector of lists you must use unnest() to extract this information into a numeric vector.

Here you will explore this functionality by calculating the mean population of each country in the gapminder dataset.

Instructions

100 XP

Use map() to apply the mean() function to calculate the population mean for each country and append this new list column called mean_pop using mutate().
Explore the first 6 rows of pop_nested.
Use unnest() to convert the mean_pop list into a numeric column and save this as the pop_mean dataframe.
Explore pop_mean using head().