https://github.com/shaadclt/store-data-analysis-excel
This project provides a guide for analyzing store data using Microsoft Excel. It demonstrates how to utilize various Excel features and functions to gain insights into sales, trends, and other key metrics related to store performance.
https://github.com/shaadclt/store-data-analysis-excel
data-analytics data-visualization excel pivot-tables
Last synced: 3 days ago
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This project provides a guide for analyzing store data using Microsoft Excel. It demonstrates how to utilize various Excel features and functions to gain insights into sales, trends, and other key metrics related to store performance.
- Host: GitHub
- URL: https://github.com/shaadclt/store-data-analysis-excel
- Owner: shaadclt
- Created: 2023-03-20T07:35:23.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-06-17T06:17:41.000Z (over 2 years ago)
- Last Synced: 2025-03-28T09:11:19.240Z (11 months ago)
- Topics: data-analytics, data-visualization, excel, pivot-tables
- Homepage:
- Size: 13.7 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Store Data Analysis using Excel
This project provides a guide for analyzing store data using Microsoft Excel. It demonstrates how to utilize various Excel features and functions to gain insights into sales, trends, and other key metrics related to store performance.
## Table of Contents
- [Introduction](#introduction)
- [Dataset](#dataset)
- [Setup](#setup)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
## Introduction
The Store Data Analysis project utilizes Microsoft Excel to explore and analyze a dataset containing information about store sales, products, customers, and other relevant factors. By leveraging Excel's powerful data manipulation and analysis capabilities, this project aims to uncover insights and trends that can help improve store performance and decision-making.
## Dataset
The project uses a sample dataset named `Raw Data.xlsx` that includes information about store sales, products, customers, and other relevant metrics. The dataset can be found in the project files and will be used for the analysis.
## Setup
To use this project, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/shaadclt/Store-Data-Analysis-Excel.git
```
2. Open the `Raw Data.xlsx` file in Microsoft Excel.
3. Familiarize yourself with the structure and format of the dataset.
## Usage
To perform store data analysis using Excel, follow these steps:
1. Open the `Raw Data.xlsx` file in Microsoft Excel.
2. Explore the various sheets and tabs within the Excel workbook to understand the available data.
3. Use Excel functions and formulas to calculate metrics such as total sales, average order value, or customer retention rate.
4. Utilize Excel's charting and graphing capabilities to visualize trends and patterns in the data.
5. Apply filters and create pivot tables to slice and dice the data for deeper analysis.
6. Use conditional formatting to highlight important insights or anomalies in the data.
7. Create dashboards or summary sheets to present key findings and metrics.
Feel free to customize the analysis according to your specific requirements and experiment with additional Excel features and functions to further explore the store data.
## Contributing
Contributions to this project are welcome. If you find any issues or have suggestions for improvement, please open an issue or submit a pull request on the project's GitHub repository.
## License
This project is licensed under the [MIT License](LICENSE). You are free to modify and use the code and dataset for both personal and commercial purposes.