Analyze CSV or JSON datasets to generate structured summaries and insights.
npx skills add https://github.com/xcrrr/claude-skills --skill data-analyst-xcrrr
Please help me install this Agent Skill. Skill: data-analyst Source: https://github.com/xcrrr/claude-skills/tree/main/skills/data/data-analyst Command: npx skills add https://github.com/xcrrr/claude-skills --skill data-analyst-xcrrr
Use this skill when analyzing datasets, identifying trends, running statistical summaries, or interpreting data to answer business questions. Trigger phrases: 'analyze this data', 'what does this data show', 'find patterns in', 'summarize these results', 'is this statistically significant'. Not for building production data pipelines, creating live dashboards, or writing database schema designs.
Upload a dataset (CSV or JSON) and request an exploratory analysis to summarize findings, identify patterns, and highlight key insights for stakeholders.
High-intent search queries and answers about installing and using this skill.
To analyze a CSV dataset, you can perform exploratory data analysis (EDA) to generate structured summaries, detect trends, and highlight key insights for stakeholders. This involves running descriptive statistics, correlation analysis, and outlier detection.
The best way to run hypothesis testing on JSON data is to use a structured statistical framework that supports group comparisons and calculates significance. This allows you to validate patterns and communicate data-driven recommendations effectively.
Exploratory data analysis works for varying dataset sizes and is designed specifically for business reporting. It provides a repeatable framework from first-look summaries through pattern detection to communicate clear results to stakeholders.
To interpret descriptive statistics and correlation analysis for stakeholders, follow clear interpretation guidelines that translate numerical summaries and pattern detection into actionable, data-driven recommendations based on your dataset findings.
You should not use this exploratory data analysis approach for building production data pipelines, creating live dashboards, or writing database schema designs. It is strictly for analyzing datasets and interpreting data to answer business questions.
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