https://github.com/rishabhraj43/diwali-sales-analysis

A Data Analysis project made in Python
https://github.com/rishabhraj43/diwali-sales-analysis

data-analysis python

Last synced: 17 days ago
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A Data Analysis project made in Python

• Host: GitHub
• URL: https://github.com/rishabhraj43/diwali-sales-analysis
• Owner: RishabhRaj43
• Created: 2024-07-23T14:09:15.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-30T14:13:23.000Z (6 months ago)
• Last Synced: 2024-11-13T05:13:36.865Z (3 months ago)
• Topics: data-analysis, python
• Language: Jupyter Notebook
• Homepage:
• Size: 460 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Diwali Sales Analysis

**Overview**

This project provides an analysis of sales data for Diwali. It includes visualizations and insights to understand sales patterns, customer behavior, and product performance during the Diwali season.

**Features**

-Data visualization of sales trends

-Analysis of top-selling products

-Customer segmentation insights

-Comparison of sales across different regions

**Technologies Used**

Programming Languages: Python

Libraries: Pandas, NumPy, Matplotlib, Seaborn

Tools: Jupyter Notebook, Excel

**Installation**

***Clone the repository:***

```

git clone "https://github.com/RishabhRaj43/Diwali-Sales-Analysis.git"

```

***Install dependencies:***

```

pip install numpy pandas matplotlib seaborn

```

**Run the analysis :**

Open the Jupyter Notebook (Diwali_Sales_Analysis.ipynb) and execute the cells to generate the analysis and visualizations.

**Data Description :**

Diwali Sales Data.csv: Contains sales transactions with fields such as User id, Customer name, Product id, Gender, Age and etc.

**Analysis Results :**

-Sales Trends: Visualizations of sales over time.

-Gender: Most of the buyers are females and even purchasing power of females are greater than men.

-Top-Selling Products: Most of the sold products are from Food, Clothing and Electronics category.

-Customer Segmentation: Most of the buyers are working in IT, Healthcare and Aviation sector.

-Regional Sales Comparison:  Most of the orders & total sales/amount are from Uttar Pradesh, Maharashtra and Karnataka respectively.

**Conclusion :**

***Married women age group 26-35 yrs from UP, Maharastra and Karnataka working in IT, Healthcare and Aviation are more likely to buy products from Food, Clothing and Electronics category***