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Data & Analytics

Data Analysis (Jupyter)

Run Python on your data with a live Jupyter kernel, from a natural-language brief.

4.8rating

16,200 installs

jupyter-live-kernel

Pro+ required

About this skill

Upload a CSV, Parquet, or Excel file, describe what you want to know, and Data Analysis runs actual pandas / polars / matplotlib code in a live Jupyter kernel. You see every cell, every output, every chart — and you can tweak the code yourself. Transparent by design: no hidden calls, no hallucinated numbers, every result comes from code you can inspect.

What it does

Live Jupyter kernel (pandas, polars, matplotlib, seaborn)
Upload CSV, Parquet, Excel
Every cell and chart visible and editable
Code export to .ipynb
No hallucinated numbers — all values from executed code

Use cases

Explore a 2M-row CSV without writing boilerplate
Generate charts from a raw export in one prompt
Investigate an anomaly with full code transparency

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