Task 1
- Using
mtcars, reshape the data from wide to long format so that the variables mpg, hp, and wt are stored in two columns called variable and value.
- Store the result in
mtcars_long.
Task 2
- Starting from
mtcars_long (Task 1):
- Reshape the data back to wide format so that each value of
variable becomes its own column again.
- Store the result in
mtcars_wide.
Task 3
- Using
gapminder, create a tidy data frame that keeps only the variables country, year, life_expectancy, and fertility,
- reshapes the data so that
life_expectancy and fertility are stored in
two columns called indicator and value.
- Store the result in
gapminder_long.