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Analyzes historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.

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dldmarnell/fraud-detection

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PyBank

Reads a csv file of date and profit/loss data. Calculates total months, total profit/loss, average profit/loss, lowest and highest profit/loss months, prints and writes a text file of financial analysis findings.


Technologies

Language: Python3

Imports: pathlib and csv libraries

Developed with JupyterLab


Installation

JupyterLab - Install JupyterLab


Examples

After input csv is read, analysis is performed and data findings printed in final cell Data findings output


Contributors

Drew Disbrow Marnell: dldmarnell@gmail.com


License

MIT License Copyright (c) 2021 Drew Disbrow Marnell

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Analyzes historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.

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