Business Insight Studio is a modular web app for quick data exploration and analysis powered by Streamlit.
This app allows users to:
- Upload and preview CSV files
- Segment data using KMeans clustering
- Forecast trends using Prophet
- Visualize KPIs by category or time
- Export processed data
| Module | Description |
|---|---|
| Upload | Upload CSV files and preview them |
| Segmentation | Perform KMeans clustering |
| Forecasting | Forecast numeric values over time |
| KPIs | Visualize category & time-based metrics |
| Export | Download processed dataset |
business-insight-studio/ ├── app.py ├── requirements.txt ├── .gitignore ├── LICENSE ├── README.md └── modules/ ├── upload.py ├── segmentation.py ├── forecasting.py ├── kpi.py ├── export.py
git clone https://github.com/databinocs/business-insight-studio.git
cd business-insight-studio
python -m venv venv
.\venv\Scripts\activate # On Windows
pip install -r requirements.txt
streamlit run app.py
> ⚠️ **Model note:** TAPAS performs best with tables under 50 rows and a limited number of columns. Larger inputs may reduce accuracy or fail.
This project is licensed under the MIT License.