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🛍️ Diwali Sales Data Analysis 📌 -This project involves an in-depth Exploratory Data Analysis (EDA) on Diwali Sales Dataset using Python (Pandas, Matplotlib, Seaborn) in Jupyter Notebook. The objective is to derive valuable business insights from customer purchasing behavior during the Diwali festival.
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This project involves an in-depth Exploratory Data Analysis (EDA) on Diwali Sales Dataset using Python (Pandas, Matplotlib, Seaborn) in Jupyter Notebook.
The objective is to derive valuable business insights from customer purchasing behavior during the Diwali festival. These insights will help businesses improve their marketing strategies, product focus, and customer targeting.
The dataset contains the following columns:
| Column Name | Description |
|---|---|
| User_ID | Unique ID of the customer |
| Cust_name | Customer's name |
| Product_ID | Product's unique ID |
| Gender | Gender of the customer (Male/Female) |
| Age Group | Age group of the customer (e.g. 26-35) |
| Age | Actual age of the customer |
| Marital_Status | Marital status (0 = Single, 1 = Married) |
| State | State where the customer resides |
| Zone | Geographical Zone of India |
| Occupation | Customer’s occupation |
| Product_Category | Category of the product bought |
| Orders | Number of orders placed |
| Amount | Total amount spent |
| Status | Purchase status |
| unnamed1 | Irrelevant column (dropped during cleaning) |
Dataset provided for learning and analysis purposes.
Inspired by real-world sales data analysis for marketing and business strategy.
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