The data I used comes from WorldBank.org, which has a great variety of measures for each country pertaining to climate, energy consumption, land use, socioeconomic factors, and population trends.
Country codes data comes from: https://github.com/lukes/ISO-3166-Countries-with-Regional-Codes/blob/master/all/all.csv Climate data is from WorldBank.org, found here https://data.worldbank.org/topic/19
Removing extra dates, using pivot_longer for year columns, change date values, round up measure.
Will just be looking at North and South American countries - this dataset has 3 letter country codes, and the values filtered for below will be applied to a filter in the climate dataset.