We were inspired to look at trends in the developing world because most emissions come from the developing world, and the agricultural industry is a significant contributor towards emissions.
We created graphs using Python that display the trends in the last five years.
We used pandas to structure our data, and matplotlib and numpy to create our graphs.
We found it difficult to do further analysis of our data due to inexperience in programming.
We were able to visualize the data in a way that makes it comparable between different aspects.
We thoroughly engaged with matplotlib and altering our graphs according to our specifications.
Our next step would be further data analysis, including the stationarity test.
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