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https://github.com/dogan-the-analyst/chair_sales_data_analysis
It is an Excel study for practice.
https://github.com/dogan-the-analyst/chair_sales_data_analysis
data data-analysis excel
Last synced: about 1 month ago
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It is an Excel study for practice.
- Host: GitHub
- URL: https://github.com/dogan-the-analyst/chair_sales_data_analysis
- Owner: dogan-the-analyst
- Created: 2024-12-16T09:31:12.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-12-16T09:55:54.000Z (2 months ago)
- Last Synced: 2024-12-16T10:35:08.629Z (2 months ago)
- Topics: data, data-analysis, excel
- Homepage:
- Size: 40 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Chair Sales Data Analysis
This project is an Excel-based study for practice. The dataset used is `sales_data_analysis_source.xlsx`.## Overview
The study involves transforming and analyzing sales data using Excel functions and features like **IF**, **VLOOKUP**, and **PivotTable**. Below are the steps and results:---
## Initial Table State
Here is the raw dataset as it appears initially:
---
## Final Table State
After processing the data, the table looks as follows:
---
## Applying Discounts
1. **Discount Criteria**:
If the quantity is **greater than or equal to 20**, we mark "Y" for a discount, otherwise "N":
2. **Discount Calculation**:
If a discount is applied ("Y"), the total amount is multiplied by **0.95**:
---
## Using Customer Information
The original dataset includes a sheet named `Customer Info`:
- **Company Names**:
Using **VLOOKUP**, we retrieve company names:
- **Sales Representatives**:
Similarly, we retrieve representative names:
---
## PivotTable Analysis
Finally, we use **PivotTable** to analyze the data:
1. **Total Sales by Chair Models by Month**:
2. **Total Sales by Representatives by Month**:
