Data_Explorer–PyCaret
Go to the application¶
Overview¶
A lightweight Streamlit app that lets users load built-in or custom datasets and generate interactive data profiling reports using PyCaret and ydata‑profiling.
Main functionalities¶
- Select a dataset from the list of built‑in PyCaret datasets via sidebar.
- Upload CSV / Excel files for analysis.
- Preview the first rows of the selected dataset.
- Generate an interactive profiling report with ydata‑profiling.
- Export the report as HTML or PDF (PDF conversion uses pdfkit/wkhtmltopdf).
- Dark themed UI and responsive layout.
Technologies & skills¶
- Python
- Streamlit
- Pandas
- PyCaret datasets
- ydata‑profiling
- streamlit‑pandas‑profiling
- pdfkit / wkhtmltopdf (optional)
Project Report¶
- Profiling report generation and export functionality.
- User-friendly interface for data exploration.
Sample photos¶
Application usage¶
- Use the sidebar to choose a dataset or upload your own file.
- Click "Generate Profiling Report" to view and download the report.