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Car sales data analysis with Streamlit v1.0.0
Use this resource to clean and analyse a car sales dataset
New
- 582 downloads
- 133 likes
- 149 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install car-sales-analysis-streamlitWith 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 loginThe agent installs the project with uv, launches the Streamlit dashboard or the full pipeline, then runs the fifteen planned analyses and generates the charts. You get price trends, regional differences and correlations between variables.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: installation with uv and dashboard launch
- SKILL.md: loading, cleaning and the src/analysis.py module
Good fit for
- You want a statistical analysis example on prices
- You look for the factors linked to selling prices
Not for
Tags
- car sales
- statistics
- streamlit
- pricing
About
You say
“Run the fifteen analyses and tell me which variables correlate most with price.”
Skill published by reason-machines under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to clean and analyse a car sales dataset
- Review and adjust the result
Content preview
Files
- LICENSE0 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md10.2 KB
Origin and licence
Listed unmodified
- Author
- reason-machines
- Source
- github.com/reason-machines/data-skills/tree/25d6ee79eea935ef4be1ee375a5777b2ad259f0a/skills/car-sales-data-engineering-analytics
- Licence
- MIT
Notice
« car-sales-data-engineering-analytics » (reason-machines, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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