Data Visualization, R Programming, Data Science, Ggplot2, Tidyverse.
Year) %>% full_join(Carbon_Gg_emissions_by_country_year %>% select(Country, Carbon_Gg, Year)) %>% full_join(pop_by_country_year %>% select(Country, Pop, Year)) %>% mutate(Energy_GWh = is.na(Energy_GWh), Carbon_Gg = is.na( Carbon_Gg), Pop = is.na(Pop)) %>% distinct(Country, Energy_GWh, Carbon_Gg,