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https://github.com/mrmonkeyman68/-e-commerce_sales_analysis

This project dives deep into the sales, delivery, and customer feedback data of major grocery delivery platforms – Blinkit, Swiggy Instamart, and JioMart. It is designed to showcase my ability to clean, analyze, and visualize data using Microsoft Excel.
https://github.com/mrmonkeyman68/-e-commerce_sales_analysis

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This project dives deep into the sales, delivery, and customer feedback data of major grocery delivery platforms – Blinkit, Swiggy Instamart, and JioMart. It is designed to showcase my ability to clean, analyze, and visualize data using Microsoft Excel.

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README 

        
# E-Commerce Sales Analysis 📊



![E-Commerce Sales Analysis](https://img.shields.io/badge/Download%20Releases-Click%20Here-brightgreen?style=for-the-badge&logo=github)



Welcome to the **E-Commerce Sales Analysis** project! This repository explores the sales, delivery, and customer feedback data from major grocery delivery platforms: Blinkit, Swiggy Instamart, and JioMart. This project demonstrates my skills in data cleaning, analysis, and visualization using Microsoft Excel.



## Table of Contents



- [Project Overview](#project-overview)

- [Technologies Used](#technologies-used)

- [Data Sources](#data-sources)

- [Features](#features)

- [Getting Started](#getting-started)

- [How to Use](#how-to-use)

- [Contributing](#contributing)

- [License](#license)

- [Contact](#contact)



## Project Overview



In the modern age of e-commerce, understanding sales trends and customer feedback is crucial for businesses. This project provides insights into the performance of grocery delivery platforms. By analyzing sales data, we can uncover trends, customer preferences, and areas for improvement. 



The project includes:



- Data cleaning processes to ensure accuracy.

- Data modeling techniques to represent the data effectively.

- Visualizations that tell a story about the sales performance.



## Technologies Used



This project leverages various Microsoft Excel features, including:



- **Advanced Excel**: For complex calculations and data manipulation.

- **Conditional Formatting**: To highlight key metrics.

- **Data Cleansing**: To ensure data integrity.

- **Data Modeling**: For structured data representation.

- **Data Storytelling**: To communicate findings effectively.

- **Data Visualization**: To create insightful charts and graphs.

- **Functions**: For calculations and data analysis.

- **Pivot Tables**: To summarize large datasets.

- **Pivot Charts**: To visualize summarized data.

- **PowerPivot**: For advanced data modeling.

- **Power Query**: To import and transform data.



## Data Sources



The data for this project comes from the following grocery delivery platforms:



- **Blinkit**: A leading grocery delivery service known for its quick delivery times.

- **Swiggy Instamart**: A popular platform offering a wide range of grocery items.

- **JioMart**: A growing player in the grocery delivery market.



Each dataset includes information on sales, delivery times, and customer feedback, providing a comprehensive view of each platform's performance.



## Features



This project includes several key features:



- **Sales Analysis**: Breakdown of sales by product category and platform.

- **Delivery Performance**: Insights into delivery times and efficiency.

- **Customer Feedback Analysis**: Examination of customer reviews and ratings.

- **Visual Dashboards**: Interactive dashboards for quick insights.

- **Export Options**: Ability to export reports in various formats.



## Getting Started



To get started with this project, follow these steps:



1. **Download the Release**: Visit the [Releases section](https://github.com/mrmonkeyman68/-E-Commerce_Sales_Analysis/releases) to download the necessary files. Make sure to execute the downloaded files in Excel.



2. **Install Microsoft Excel**: Ensure you have Microsoft Excel installed on your computer. The project uses features available in recent versions of Excel.



3. **Open the Project Files**: Unzip the downloaded files and open the Excel workbook.



## How to Use



Once you have the project files open in Excel, you can explore the data and visualizations. Here’s how to navigate through the project:



1. **Data Sheets**: Each grocery platform has its own data sheet. Review the data for insights.

2. **Pivot Tables**: Use the pivot tables to analyze sales trends. You can filter by date, product, or platform.

3. **Charts**: Review the charts for visual insights. Hover over data points for detailed information.

4. **Dashboards**: Navigate to the dashboard sheet for a summary of key metrics.



Feel free to modify the data and visualizations to suit your analysis needs.



## Contributing



Contributions are welcome! If you have suggestions for improvements or additional features, please fork the repository and submit a pull request. 



1. Fork the repository.

2. Create a new branch for your feature.

3. Make your changes.

4. Submit a pull request with a clear description of your changes.



## License



This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.



## Contact



For questions or feedback, feel free to reach out:



- **Email**: [[email protected]](mailto:[email protected])

- **GitHub**: [mrmonkeyman68](https://github.com/mrmonkeyman68)



Thank you for visiting the **E-Commerce Sales Analysis** project! Explore the data, gain insights, and enhance your understanding of the grocery delivery market. Don't forget to check the [Releases section](https://github.com/mrmonkeyman68/-E-Commerce_Sales_Analysis/releases) for the latest updates and downloads.