Features

• Displays full dataframes with cleaned object types for safe rendering.
• Builds graphs using TF-IDF vectorization on sanitized text inputs.
• Handles edge cases like empty tables or insufficient text data.

Requirements

Install via pip:

 pip install streamlit pandas networkx plotly scikit-learn sqlalchemy pymongo pymysql psycopg2 pymssql oracledb

• Streamlit launches with streamlit run dataviewer.py. No additional configuration needed.

Limitations

• Graphs require at least two non-empty text entries, large datasets may slow vectorization.
• MongoDB limits to 5000 documents.
• No query customization beyond full table loads. Assumes text columns are object/string dtype.