This time I would like to simulate missing value treatment of Greenhouse gas emissions, coal consumption and fossil fuel consumption.
- Extracting the data into panda data frames
- See the values of each variables, as we can see that Greenhouse gas emissions only has 43 values compared to other variable's values.
- Replace the missing values with mean
- Now all variables have the same amount of values
