General Data Dashboard

Using Streamlit
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Hi Streamlit community :waving_hand:,

I’m excited to share my new app: General Data Dashboard – a no-code analytics and modeling platform built entirely with Streamlit!

:bullseye: What it does:

  • :file_folder: Upload any CSV file
  • :broom: Clean and preprocess data (missing values, date parsing, type inference)
  • :bar_chart: Explore data with descriptive stats, heatmaps, and auto chart recommendations
  • :chart_increasing: Visualize relationships (Plotly + Seaborn support)
  • :robot: Train regression or classification models (Linear, Logistic, Random Forest, KNN)
  • :brain: View feature importance and model metrics
  • :outbox_tray: Upload new data for batch prediction
  • :page_facing_up: Export results, graphs, or reports (CSV / Excel / HTML / PDF)

:backhand_index_pointing_right: Live demo: https://general-data-dashboard-kgnhh7cmvmgnhbtvw7pkiq.streamlit.app
:package: GitHub: https://github.com/LSS-Q/General-data-dashboard

I’d love your feedback on:

  • Features you’d like to see added?
  • Suggestions for more advanced modeling/visualization?
  • Any issues or UX thoughts?

Thanks for checking it out! :speech_balloon::folded_hands:
Feel free to :star: the repo if you find it useful!

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