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Data analysis and Jupyter notebooks v1.0.0

Use this resource to explore data and produce visualizations in a Jupyter notebook

New

  • 326 downloads
  • 117 likes
  • 131 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install exploratory-analysis-notebooks

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent runs an exploratory analysis in a Jupyter notebook: pandas chaining, validation patterns, visualizations and notebook practices. You get readable, reproducible notebooks.

Mostly picked by

Updated November 2, 2026

Card for the “Data analysis and Jupyter notebooks” skill

Details

Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: principles and analysis with pandas
  • SKILL.md: visualization standards and pattern examples
  • SKILL.md: notebook practices, NumPy, validation and performance

Good fit for

  • You are exploring a new dataset
  • You prepare reproducible charts for a presentation

Not for

    Tags

    • jupyter
    • exploration
    • pandas
    • visualization

    About

    You say

    “Explore this customer satisfaction file and plot the average score by region.”

    Card for the “Data analysis and Jupyter notebooks” skill

    Skill published by mindrally under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to explore data and produce visualizations in a Jupyter notebook
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md4.7 KB

    Origin and licence

    Listed unmodified

    Author
    mindrally
    Source
    github.com/mindrally/skills/tree/7682ca77710e0971eab4e0ae5dddfa281aea0ba5/data-analysis-jupyter
    Licence
    Apache-2.0

    Notice

    « data-analysis-jupyter » (mindrally, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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