This Jupyter Notebook project explores and visualizes UPI (Unified Payments Interface) transaction data to uncover insights related to transaction types, user behavior, merchant categories, fraud patterns, and more.
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A cleaned dataset is included in the repository:
π Download Dataset -
It contains fields such as:
- Transaction type
- Sender age group, device type, and bank
- Merchant category
- Transaction status
- Fraud indicator
- Date and time information
- β Treemaps showing merchant category-wise transaction amounts
- β
Bar plots analyzing:
- Transaction types across age groups
- Fraud counts by device type
- Success vs failure by network and bank
- β
Heatmaps visualizing:
- Hourly trends by day of week
- Merchant category activity over hours
- β Pie chart displaying transaction type proportions
- Clone the repository:
git clone https://github.com/yourusername/upi-transaction-visualization.git cd upi-transaction-visualization - Open in Jupyter Notebook
- Run all the commands