WWDI-CodeBase

===============

###Mining the Data:

Running WWDI-2.ipynb (must have jupyter installed) will locally download datasets of interest
wwdi_indicators will have all the variables while country_codes has their respective countries
In order to call a dataset from Quandl you must use a Quandl code of the form: "WWDI/" + [country_code]_[indicator_code]
The last part of the indicator code is generally the unit of measurement("KT", "MT", "ZS") while the first substring is the sector if interest ("EN", "EG", "NY")

###Analysis:

Name		Name	Last commit message	Last commit date
Latest commit History 24 Commits
.ipynb_checkpoints		.ipynb_checkpoints
CO2EmissionDataQuandlMiner.py		CO2EmissionDataQuandlMiner.py
FirstWorldAbsoluteExplantoryData.csv		FirstWorldAbsoluteExplantoryData.csv
FirstWorldEmissionData.csv		FirstWorldEmissionData.csv
FirstWorldRelativeExplantoryData.csv		FirstWorldRelativeExplantoryData.csv
QuandlAnalysis.py		QuandlAnalysis.py
README.md		README.md
ThirdWorldAbsoluteExplanatoryData.csv		ThirdWorldAbsoluteExplanatoryData.csv
ThirdWorldRelativeExplanatoryData.csv		ThirdWorldRelativeExplanatoryData.csv
ThirsdWorldEmissionData.csv		ThirsdWorldEmissionData.csv
WWDI-2.ipynb		WWDI-2.ipynb
__init__.py		__init__.py
country_codes		country_codes
regression.R		regression.R
whatever.py		whatever.py
wwdi_indicators		wwdi_indicators

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