Combining filter, mutate, and arrange

In this exercise, you'll combine all three of the verbs you've learned in this chapter, to find the countries with the highest life expectancy, in months, in the year 2007.

This exercise is part of the course

Introduction to the Tidyverse

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Exercise instructions

In one sequence of pipes on the gapminder dataset:
filter() for observations from the year 2007,
mutate() to create a column lifeExpMonths, calculated as 12 * lifeExp, and
arrange() in descending order of that new column

Hands-on interactive exercise

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

library(gapminder)
library(dplyr)

# Filter, mutate, and arrange the gapminder dataset

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