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Data analysis with pandas v1.0.0

Use this resource to analyze data reproducibly with pandas and NumPy

New

  • 349 downloads
  • 192 likes
  • 104 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install pandas-data-analysis-workflow

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 a data analysis with pandas and NumPy: method chaining, data quality checks, aggregations and readable charts with Matplotlib or Seaborn. It organizes the work in reproducible Jupyter notebooks.

Mostly picked by

Updated November 2, 2026

Card for the “Data analysis with pandas” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: data manipulation with pandas, NumPy and validation
  • SKILL.md: visualization, accessibility, Jupyter notebooks and performance

Good fit for

  • You need to clean a sales export before a report
  • You want readable, accessible charts for a presentation

Not for

    Tags

    • pandas
    • data analysis
    • jupyter

    About

    You say

    “Analyze this sales file: missing values, monthly totals and a chart.”

    Card for the “Data analysis with pandas” 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 analyze data reproducibly with pandas and NumPy
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.1 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

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