Data Visualization, R Programming, Data Science, Ggplot2, Tidyverse.
mutate(Energy_GWh_perC = Energy_GWh/Pop * 1000, Carbon_Gg_perC = Carbon_Gg/Pop * 1000) This data frame contains the non-matching country codes, so I can manually correct the names of countries for merging. check_nonmatching_countries <- power_usage_by_country_year %>% select(Country, Energy_GWh,