Carolina Data Challenge 2022 Project: Greenhouse Gas Emission
Authors: Tao Huang, Bang Gong, Lorry Zou

We analyzed greenhouse gas emission by the regions' economic status and compared the emissions by advanced economies and developing countries.

We visualized the data with Python and R and built the model with R.

The dataset is relatively small and what could be concluded from the dataset is limited.

The international society should stick to the current agreements on controlling greenhouse gas emission. The advanced economies should put in more efforts proportional to their per capita emissions in controlling global warming.

https://docs.google.com/presentation/d/17V3E4l08XPgNTXHpA9-4tWZb1RlhRePDJgYFI7wwZ4A/edit?usp=sharing

We used the dataset downloaded from the following link: https://climatedata.imf.org/datasets/c8579761f19740dfbe4418b205654ddf/explore?showTable=true https://data.worldbank.org/indicator/EN.ATM.CO2E.PC https://datahub.io/core/global-temp