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analytics-data-analysis

Mindrally/skillsSkill

Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks. Use when performing exploratory data analysis, building data pipelines, creating statistical visualizations, writing Jupyter notebooks, cleaning and transforming datasets, or implementing analytics dashboards.

ScannedSkillSource: GitHub
278 stars +6 this week Updated 27d ago License Apache-2.0 Context ≈91 tokens always loaded
63popular

Why this score

Stars10/35
Usage (forks)3/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 278 stars are split between them (about 28 each) for scoring.

Popularity score: 63/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit 7682ca77710e, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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