/Card_Decline_Data_Analysis

Given a data set with all the transaction record of a company, I try to perform data analysis using statistics, decision tree and visualization to figure out the potential problems of rejected transaction.

Primary LanguageJupyter Notebook

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Card Decline Data Analysis

This is an analysis on the dataset Globepay Acceptance Report - Globepay Acceptance Report.csv. The goal is to figure out what were the reasons behind the declined transactions.

In task.ipynb you will see my approach of analysis using mostly pandas and plotting packages such as matplotlib and seaborn. The examined variables include country of transaction, currency, transaction time...etc.

Alternatively you can check the Card Decline Report.pptx for my findings with comprehensive graphs and explaination.

I also incorporated machine learning algorithm decision tree to try to figure out the variables that can contribute to the card decline. See below example graph.

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