GitHub - pacharapol4066/EPPO_NG_Regression: Government open data (Excel) data analytics, for graduated class assignment

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Government open data (Excel) data analytics, for graduated class assignment

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Visualization		Visualization
aggregated_data		aggregated_data
batchScript_Package		batchScript_Package
python_regression_model_EPPO		python_regression_model_EPPO
source_csv_data		source_csv_data
transformed_data		transformed_data
.gitattributes		.gitattributes
README.txt		README.txt
VAR_RGML_Remove_Trend.ipynb		VAR_RGML_Remove_Trend.ipynb
VIZ_correlation_matrix_visualization.ipynb		VIZ_correlation_matrix_visualization.ipynb
b_all_batch.bat		b_all_batch.bat
correlation_matrix_visualization.ipynb		correlation_matrix_visualization.ipynb
ng_cons_excel_eppo_etl.py		ng_cons_excel_eppo_etl.py
ng_prd_excel_eppo_etl.py		ng_prd_excel_eppo_etl.py
pow_gen_byFuel_excel_eppo_etl.py		pow_gen_byFuel_excel_eppo_etl.py
pow_gen_bySector_excel_eppo_etl.py		pow_gen_bySector_excel_eppo_etl.py
sourceMerge_correlation_matrix.py		sourceMerge_correlation_matrix.py

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This project intent to analyse natural gas usage from government open data.
We generated data for bi visualization and prediction model.

====================
Prerequisite Install
====================

conda create -n "matplotlib_build" python=3.7 numpy python-dateutil pyparsing tornado cycler tk libpng zlib freetype msinttypes
conda activate matplotlib_build
conda install -c anaconda scikit-learn
conda install -c conda-forge xgboost
Enjoy!!!


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#conda install -c conda-forge fbprophet
#conda install -c plotly plotly=4.1.0