https://github.com/nishumehta/sales-analysis-project
This project aims to analyze sales performance using Excel, SQL, Python, Tableau, and Power BI. The goal is to extract insights from sales data, identify trends, and visualize key performance indicators (KPIs).
https://github.com/nishumehta/sales-analysis-project
data-cleaning data-visualization eda excel matplotlib-pyplot pandas python3 tableau-dashboards
Last synced: about 2 months ago
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This project aims to analyze sales performance using Excel, SQL, Python, Tableau, and Power BI. The goal is to extract insights from sales data, identify trends, and visualize key performance indicators (KPIs).
- Host: GitHub
- URL: https://github.com/nishumehta/sales-analysis-project
- Owner: NishuMehta
- Created: 2025-02-09T10:28:05.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-09T19:06:12.000Z (over 1 year ago)
- Last Synced: 2025-04-05T18:13:37.701Z (about 1 year ago)
- Topics: data-cleaning, data-visualization, eda, excel, matplotlib-pyplot, pandas, python3, tableau-dashboards
- Language: Jupyter Notebook
- Homepage:
- Size: 2.48 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Sales Analysis Project
This project analyzes sales performance using **Excel**, **Python**, and **Tableau** to extract business insights, understand sales trends, and visualize key performance indicators (KPIs).
---
## Dataset Overview
- Files: `sales-data.csv`, `sales-data-cleaned.xlsx`, `sales_eda.csv`
- Rows: ~10,000+, Columns: Region, Product, Date, Sales, Quantity, Profit, etc.
- Cleaned & transformed in Jupyter Notebook
---
## Tools & Technologies
| Tool | Usage |
|--------------------|----------------------------------------|
| Python | Data cleaning, EDA (`sales-eda.ipynb`) |
| Pandas, Matplotlib | EDA, plotting |
| Excel | Preprocessing, quick metrics |
| Tableau | Final interactive dashboard |
---
## Key Insights
- **Top-performing product**
- **Most profitable region**
- **Sales drop-off in**
- **Sales Trend**
---
## Visualizations
### Tableau Dashboard:
Includes:
- Regional performance overview
- Product category breakdown
- Profitability by month
- Trend lines for key KPIs
---
## File Structure
Sales-Analysis-Project/
│
├── data/
│ ├── sales-data-cleaned.csv
│ └── sales-data.csv
│ └── sales_eda.csv
│
├── notebooks/
│ └── analysis.ipynb
│
├── dashboard/
│ ├── Dashboard.png
│ └── Dashboard.twb
│
└── README.md
---
## What I Learned
- Cleaning large transactional datasets
- Aggregating business KPIs with Python and SQL
- Designing dashboards for storytelling and decision-making
- Structuring a professional GitHub project
---
*This project is part of my Data Analyst Portfolio.*