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DataPython

Data Statistical Analysis

by evolution-foundation

Data Statistical Analysis is a Data skill for Claude Code, published by evolution-foundation in evo-nexus.

523 stars176 forkson evolution-foundation/evo-nexusAdded 2026/08/26Repository updated 2026/05/13
View source on GitHubDownload repo ZIP
ai-agentsai-workspaceanthropicautomationbusiness-automationclaudeclaude-codedashboardmulti-agentopen-sourceopenclaw
Install in seconds
Install Data Statistical Analysis
Copy Data Statistical Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/evolution-foundation/evo-nexus/tree/main/.claude/skills/data-statistical-analysis ~/.claude/skills/data-statistical-analysis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/evolution-foundation/evo-nexus.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
.claude/skills/data-statistical-analysis/SKILL.md in evolution-foundation/evo-nexus
Installs to
~/.claude/skills/data-statistical-analysis
Collection
One of 25 skills cataloged from this repository
Category
Data — 812 skills

What Data Statistical Analysis does

Data Statistical Analysis aplica estatísticas descritivas, análise de tendências, detecção de outliers e testes de hipótese em dados do workspace. Use ao analisar MRR/churn, testar mudanças de produto, detectar anomalias e interpretar resultados estatísticos.

Data Statistical Analysis is cataloged under Data on DirSkills. Data Statistical Analysis comes from a repository tagged ai-agents, ai-workspace, anthropic, automation and business-automation.

Documentation

README

data-statistical-analysis — Análise Estatística

Estatísticas descritivas, análise de tendências, detecção de outliers, testes de hipótese, e orientação sobre quando ser cauteloso com afirmações estatísticas.

Metodologia de Estatísticas Descritivas

Tendência Central

Escolher a medida correta de centro com base nos dados:

Situação Usar Por quê
Distribuição simétrica, sem outliers Média Estimador mais eficiente
Distribuição assimétrica Mediana Robusta a outliers
Dados categóricos ou ordinais Moda Única opção para não-numéricos
Altamente assimétrico com outliers (ex: MRR por cliente) Mediana + média Reportar ambas; a diferença mostra assimetria

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Data Statistical Analysis

  • What else does evolution-foundation publish alongside Data Statistical Analysis?

    Data Statistical Analysis is one of 25 skills that DirSkills catalogs from evolution-foundation/evo-nexus, the repository it ships in. Its siblings there include AI Image Creator, Create Agent and Create Command. Each one is a separate skill with its own page in this directory, installs the same way Data Statistical Analysis does, and is maintained by evolution-foundation in that same repository. The rest of the collection is listed on the evolution-foundation/evo-nexus page.

  • How does Data Statistical Analysis compare to other Data skills?

    Data Statistical Analysis ranks #595 by stars among the 812 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Data Statistical Analysis against them. Open each page to compare what they document and how they install.

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