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Household Transaction Analysis (2015-2018)

Overview

This project provides a deep dive into three years of personal financial data. It focuses on cleaning messy transaction logs and uncovering hidden patterns in daily spending habits.

Key Insights

  • Top Categories: Food and Transportation lead in frequency.
  • Skewed Spending: Most transactions are under 100 INR, but occasional large expenditures significantly shift the average.
  • Seasonality: Time-series analysis revealed clear monthly peaks, suggesting seasonal financial cycles.

Visualizations

Spending Distribution

Screenshot 2026-02-09 164814

Volume by Category

Screenshot 2026-02-09 164827

About

Managing household finances requires a clear understanding of spending habits and income patterns over time. I analyzed a dataset of 1,940 transactions spanning from 2015 to 2018 to identify key spending drivers and financial trends.

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