Climate Change, Cop26, Maps, Emissions, Python.
(For more examples on this, check the map visualisation on the World Bank data website.) But how to segment the data so the colours in the map are meaningful? Since the values and scales of the metrics are different (e.g. GHG emissions are measured in million tonnes of CO2 equivalent, whereas GHG