https://github.com/ronaessi-28/sales-data-analysis-visualization-project
A comprehensive data analysis and visualization project using Python, Pandas, Matplotlib, Seaborn, and Streamlit. The project explores Superstore sales data to uncover trends, region-wise performance, product category insights, and builds an interactive dashboard.
https://github.com/ronaessi-28/sales-data-analysis-visualization-project
data-analysis data-visualization eda matplotlib pandas plotly python-project sales-dashboard seaborn streamlit
Last synced: 7 months ago
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A comprehensive data analysis and visualization project using Python, Pandas, Matplotlib, Seaborn, and Streamlit. The project explores Superstore sales data to uncover trends, region-wise performance, product category insights, and builds an interactive dashboard.
- Host: GitHub
- URL: https://github.com/ronaessi-28/sales-data-analysis-visualization-project
- Owner: ronaessi-28
- License: mit
- Created: 2025-04-09T12:07:16.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-07-27T12:13:20.000Z (7 months ago)
- Last Synced: 2025-07-27T14:26:21.788Z (7 months ago)
- Topics: data-analysis, data-visualization, eda, matplotlib, pandas, plotly, python-project, sales-dashboard, seaborn, streamlit
- Language: Jupyter Notebook
- Homepage:
- Size: 37.1 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Sales-Data-Analysis-Visualization-Project
# 📊 Sales Analysis & Visualization
This project analyzes retail sales data using Python. It features:
- Data cleaning
- Exploratory Data Analysis (EDA)
- Visual storytelling with Matplotlib, Seaborn & Plotly
- Interactive dashboard with Streamlit
## 📦 Features
- ✅ Clean and preprocess sales dataset
- 📈 Visualize:
- Sales by Region
- Monthly Sales Trends
- Category-wise Sales & Profit
- 📊 Create interactive dashboards using Streamlit
- ✨ Bonus: Interactive scatter plots using Plotly
## 🚀 Setup Instructions
### 1. Clone the Repository
git clone https://github.com/ronaessi-28/Sales-Data-Analysis-Visualization-Project.git
cd Sales-Data-Analysis-Visualization-Project
# Install dependencies
pip install -r requirement.txt
# Navigate to the notebooks/ folder.
Open the notebook:
jupyter notebook sales_analysis.ipynb
# Run the Streamlit Dashboard
- Navigate to the dashboard/ folder.
Run the app using:
streamlit run app.py
# 📬 Contact
For queries or feedback, reach out at ronaessi28chhillar@gmail.com.