GitHub - omargalal20/Supply-Chain-Data-Analysis: This was a part of an internship that was made to present an automated method to transform data in the form of tables into a graph, in order for it to be visualized better and for the capability of performing graph analysis for supply chain companies.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
.idea		.idea
.ipynb_checkpoints		.ipynb_checkpoints
.vscode		.vscode
DataSet		DataSet
__pycache__		__pycache__
.gitignore		.gitignore
Copy_of_Data_Transformation - Copy.ipynb		Copy_of_Data_Transformation - Copy.ipynb
DataAnalysis.ipynb		DataAnalysis.ipynb
GephiGraph.py		GephiGraph.py
InitializingNodesAndEdges.py		InitializingNodesAndEdges.py
Neo4jGraph.py		Neo4jGraph.py
PyVizGraph.py		PyVizGraph.py
ReadingDataSet.py		ReadingDataSet.py
Test.csv		Test.csv
calaculateDistanceBetweenWarehousesAndSupplier.py		calaculateDistanceBetweenWarehousesAndSupplier.py
edges.csv		edges.csv
keys.py		keys.py
main.py		main.py
nodes_edges_df.py		nodes_edges_df.py
saves.me		saves.me
warehouseSupplier.csv		warehouseSupplier.csv

About

This was a part of an internship that was made to present an automated method to transform data in the form of tables into a graph, in order for it to be visualized better and for the capability of performing graph analysis for supply chain companies.

python neo4j supply-chain web-scraping data-analysis graph-analysis