Analyze monthly personal expenses to identify spending trends, category-wise behavior, and opportunities for better financial planning.
- Simulated personal expense dataset
- Covers 5 months (Feb–Jun 2026)
- Includes categories like Rent, Groceries, Utilities, etc.
- Designed for trend and category analysis
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Structured raw data for analysis
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Created Pivot Tables for aggregation
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Calculated MoM percentage changes
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Built charts to visualize trends and category behavior
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Total Monthly Spend
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Month-over-Month (MoM) Change %
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Category-wise Expense Distribution
- Excel (Pivot Tables, MoM Calculations, Charts)
- Groceries exhibit the highest volatility, with a 40% drop in March followed by a 33% increase in April
- Overall spending declined in March (-7.17%) and gradually stabilized in subsequent months
- Fixed expenses such as rent and insurance remain consistent, while discretionary categories fluctuate
- Monitor high-variability categories to improve budget consistency
- Set spending limits for discretionary categories to reduce fluctuations
- Maintain fixed expense stability while optimizing variable expenses


