Green House Gas (GHG) Emissions Streamlit Visualization

For this project, I used the Greenhouse Gas (GHG) Inventory data set from the United Nations UNData website. This data set was downloaded from Kaggle and imported into a Jupyter Notebook where I used pandas and matplotlib to format the data and create plots. After I had the data formatted properly and had a function to create plots for each country, I created a streamlit interface that preloads the data and asks the user to choose a country to receive a plot of that countries emissions from 1990 to 2015.