Description This project analyzes Diwali sales data to identify customer purchasing patterns, demographic influences, and sales trends. The analysis demonstrates how Exploratory Data Analysis (EDA) and visualization can be used to extract insights from retail transaction data.
Key highlights:
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Cleaning and preprocessing real-world sales data
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Exploratory Data Analysis with Python (Pandas, Matplotlib, Seaborn)
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Understanding customer demographics (gender, age group, marital status, state, and occupation)
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Identifying top-selling product categories and trends
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Deriving actionable insights for targeted marketing and sales strategies
├── DiwaliSales_Analysis.ipynb # Main notebook with analysis ├── 24202600_DiwaliSales Data.csv # Raw sales dataset