Upload a dataset and let AI guide analysis, modeling, code generation, and BI dashboards.
1. Upload Dataset
2. Understand Data
3. Prepare Data
4. Model Advice
5. Code (Python / R)
6. BI Dashboard
Upload your dataset
CSV files up to 100MB supported
Your uploaded files
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Tip: Click Prepare next to a file to view Docker-cleaned outputs in S3.
Understanding your data
Metadata from S3 + AI analysis from backend.
Metadata
Metadata will appear here.
AI analysis
Analysis will appear here.
Raw response (debug)
Raw JSON will appear here.
Prepare data (cleaned outputs)
Docker cleaned files are written automatically to S3 under processed/<file_id>/.
This step lists them and lets you download them — and now you can send them to BI.
“Use for BI” sends the cleaned output to your BI generator and opens the dashboard in Step 6.
Selected file
No file selected yet. Go back and click Prepare on a file.
Processed files (Download or Use for BI)
No processed files loaded yet
Click “Refresh processed”
Raw processed JSON (debug)
Click “Refresh processed”.
Model advice
Uses dataset metadata to recommend target/feature handling, baselines, validation, and model families.
Selected file
No file selected yet. Go back and click Prepare or Understand on a file.
Advice output
Click “Generate Model Advice”.
Raw response (debug)
Raw JSON will appear here.
Code generation
Generates runnable code from metadata. Uses backend POST /chat/codegen.
Selected file
No file selected yet. Go back and click Prepare/Model/Understand on a file.
Generated output
Click “Generate Python” or “Generate R”.
Raw response (debug)
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BI dashboard
This dashboard is generated from the cleaned dataset you selected in Step 3.
Selected processed file
No cleaned file selected yet. Go to Prepare → click “Use for BI”.