https://github.com/kunalkumar2001/sales-project-using-excel-and-sql

Comprehensive sales analysis using SQL, Excel, and PowerPoint to uncover insights on top-sellers, peak times, and branch performance.
https://github.com/kunalkumar2001/sales-project-using-excel-and-sql

data-analysis data-analytics excel mssql sql

Last synced: 15 days ago
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Comprehensive sales analysis using SQL, Excel, and PowerPoint to uncover insights on top-sellers, peak times, and branch performance.

• Host: GitHub
• URL: https://github.com/kunalkumar2001/sales-project-using-excel-and-sql
• Owner: kunalkumar2001
• Created: 2024-12-24T13:37:27.000Z (17 days ago)
• Default Branch: main
• Last Pushed: 2024-12-24T14:34:03.000Z (17 days ago)
• Last Synced: 2024-12-24T15:15:05.471Z (17 days ago)
• Topics: data-analysis, data-analytics, excel, mssql, sql
• Homepage:
• Size: 8.29 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 🍕 Pizza Sales Analysis Project

This repository contains all the resources, data, and analysis for the Pizza Sales Analysis project. The project focuses on understanding and deriving actionable insights from pizza sales data using various tools like SQL, Excel, and PowerPoint.

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## 📂 Project Structure

### Files Included:



1. **`pizza_sales.csv`**

   - The raw dataset contains pizza sales data.

2. **`Pizza_Sales_Final.xlsx`** 

   - Processed data with summary reports, charts, and pivot tables for detailed analysis in Excel.

3. **`PIZZA SALES SQL QUERIES 2.docx`**  

   - A document containing SQL queries used to analyze the pizza sales dataset, including tasks such as:

     - Top-selling pizzas  

     - Peak sales periods  

     - Branch performance analysis  

4. **`Final.pptx`**  

   - A presentation summarizing the analysis, insights, and recommendations based on the project findings. 

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## 🛠 Tools Used

- **SQL**: This is used for querying and extracting insights from the dataset.

- **Microsoft Excel**: For cleaning, processing, and visualizing data using pivot tables, charts, and summaries.

- **Microsoft PowerPoint**: Creating an interactive presentation to showcase findings.

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## 📊 Key Insights

- **Best-selling pizzas**: Identified top-performing items by sales.

- **Peak times**: Analyzed sales patterns to determine peak hours/days for business.

- **Branch performance**: Compared branch sales to identify high and low performers.

----

## 🌟 How to Use

1. Review the `pizza_sales.csv` file for raw data.

2. Open `Pizza_Sales_Final.xlsx` to explore detailed analysis.

3. Use the SQL queries in `PIZZA SALES SQL QUERIES 2.docx` to perform your own analysis.

4. Check out the `Final.pptx` file for a high-level overview of the project findings.

----

## 📝 Acknowledgments

This project was guided by Ayushi Jain and is part of my journey to becoming a proficient data analyst