https://github.com/future-rafay/data-management-app-python-streamlit
All-in-One Data Processing Solution Clean, Analyze, and Convert Data Effortlessly
https://github.com/future-rafay/data-management-app-python-streamlit
pandas plotly python3 streamlit
Last synced: about 2 months ago
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All-in-One Data Processing Solution Clean, Analyze, and Convert Data Effortlessly
- Host: GitHub
- URL: https://github.com/future-rafay/data-management-app-python-streamlit
- Owner: Future-Rafay
- Created: 2025-02-28T21:20:01.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-28T22:13:46.000Z (over 1 year ago)
- Last Synced: 2025-03-01T00:02:17.165Z (over 1 year ago)
- Topics: pandas, plotly, python3, streamlit
- Language: Python
- Homepage: https://data-management-project.streamlit.app/
- Size: 8.79 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📊 Data Management Pro
**All-in-One Data Processing Solution**
Clean, Analyze, and Convert Data Effortlessly
---
## 🚀 Features
- **Data Import**: Upload CSV/Excel files or use sample data
- **Data Cleaning**: Handle duplicates, missing values, and column operations
- **Interactive Editor**: Edit data in real-time with a spreadsheet-like interface
- **Visualization**: Create interactive charts (Line, Bar, Scatter, Histogram, Box)
- **Export**: Save cleaned data as CSV, Excel, or JSON
- **Persistence**: Data is saved in browser storage (no data loss on refresh)
---
## 🛠️ Installation
1. Clone the repository:
```bash
git clone https://github.com/Future-Rafay/Data-Management-App-Python-Streamlit.git
cd data-management-pro
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Run the app:
```bash
streamlit run app.py
```
4. Open your browser and go to:
```
http://localhost:8501
```
## 🖥️ Usage
### Upload Data:
Choose a CSV/Excel file or use the sample dataset.
### Clean Data:
Remove duplicates, handle missing values, and rename/delete columns.
### Edit Data:
Use the interactive editor to modify data directly.
### Visualize Data:
Create charts with customizable axes and styles.
### Export Data:
Save your cleaned data in CSV, Excel, or JSON format.
---
## 🐂 File Structure
```
data-management-pro/
├── app.py # Main application code
├── requirements.txt # Python dependencies
├── README.md # Project documentation
```
---
## 🌐 Deployment
### Streamlit Sharing (Recommended)
1. Fork this repository
2. Go to Streamlit Sharing
3. Connect your GitHub account and deploy the app
## 👨💻 Author
**Rafay Nadeem**
GitHub: [@Future-Rafay](https://github.com/Future-Rafay)
LinkedIn: [@Rafay Nadeem](https://www.linkedin.com/in/rafay-nadeem-web-developer/)
---
✨ Made with ❤️ and Python