Data Visualization, R Programming, Data Science, Ggplot2, Tidyverse.
Industries.csv") power_usage_raw <- read_csv("data/Monthly Electricity Statistics.csv") Clean-up the power_usage dataset power_usage_by_country_year <- power_usage_raw %>% separate(Index, c("Country", "Type", "Fuel_Type"), sep = "\\." ) %>% filter(Fuel_Type == "THERMAL") %>% select(-Type) %>%