Hi Streamlit community ,
Iβm excited to share my new app: General Data Dashboard β a no-code analytics and modeling platform built entirely with Streamlit!
What it does:
Upload any CSV file
Clean and preprocess data (missing values, date parsing, type inference)
Explore data with descriptive stats, heatmaps, and auto chart recommendations
Visualize relationships (Plotly + Seaborn support)
Train regression or classification models (Linear, Logistic, Random Forest, KNN)
View feature importance and model metrics
Upload new data for batch prediction
Export results, graphs, or reports (CSV / Excel / HTML / PDF)
Live demo: https://general-data-dashboard-kgnhh7cmvmgnhbtvw7pkiq.streamlit.app
GitHub: https://github.com/LSS-Q/General-data-dashboard
Iβd love your feedback on:
- Features youβd like to see added?
- Suggestions for more advanced modeling/visualization?
- Any issues or UX thoughts?
Thanks for checking it out!
Feel free to the repo if you find it useful!