MUTATE adds new columns

So we can select some columns! But maybe we wanted some new columns - say, the total gdp?

This is a job for... mutate()!

(
    data
    %>% select(
        country                    = Country,
        year                       = Year,
        status                     = Status,
        population_size            = Population,
        life_expectancy            = `Life expectancy`,
        infant_deaths              = `infant deaths`,
        under_five_deaths          = `under-five deaths`,
        adult_deaths               = `Adult Mortality`,
        gdp_per_capita             = GDP
    )
    %>% mutate(
        total_gdp_in_millions = gdp_per_capita * population_size / 1E6
    )
)

Note

Before going on - save the above in a variable called reformatted