This project is an attempt to study about Countries Green House Gas Emission and their Energy Statistics, which are part of Paris Climate Agreement . The motivation behind this study mainly came from the recent announcement of United State withdrawing from Paris Climate Agreement.
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International Greenhouse Gas Emissions :A global GHG inventory from 1990-2017
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International Energy Statistics : Global energy trade & production 1990-2014
This dataset was kindly published by the United Nation on the UNData site. You can find the original dataset here.
Kaggle term of use webpage
Per the UNData terms of use: all data and metadata provided on UNdata’s website are available free of charge and may be copied freely, duplicated and further distributed provided that UNdata is cited as the reference.
Local Copy in Raw format is present in Github : https://github.com/abhishekanand/data-512-a6-FinalProject/tree/master/data
WIND Electricity
There have been multiple research done across Energy Consumption and Green House Gas Emission but I was only able to find one research paper focused on Energy consumption vs Green House Gas Emission :
Global estimates of energy consumption and greenhouse gas emissions by Muhammad Azhar Khan Muhammad Zahir Khan, Khalid Zaman, Lubna Naz http://www.sciencedirect.com/science/article/pii/S136403211300631X
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Structure and environmental impact of global energy consumption : Renewable and Sustainable Energy Reviews, Volume 38, 2014, pp. 890-902 | S. Bilgen
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Does energy consumption contribute to climate change? Evidence from major regions of the world Renewable and Sustainable Energy Reviews, Volume 36, 2014, pp. 123-134 | Ghulam Akhmat, Khalid Zaman, Tan Shukui, Faiza Sajjad
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A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries) Renewable and Sustainable Energy Reviews, Volume 43, 2015, pp. 843-862 | Payam Nejat, Fatemeh Jomehzadeh, Mohammad Mahdi Taheri, Mohammad Gohari, Muhd Zaimi Abd. Majid
- Jupyter Notebook (Python 3.X Anaconda Distribution)
- Python Libraries (CSV, Pandas, matplotlib. Plotly)