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Data Analysis

Transform raw data into actionable insights with expert-level statistical rigor, metric definitions, and decision-ready visualization guidance.

von Iván
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# Data Analysis Transform raw data into actionable insights with expert-level statistical rigor, metric definitions, and decision-ready visualization guidance. The Data Analysis skill helps you move beyond simple arithmetic to make data-driven decisions. It provides a structured framework for querying databases, generating reports, and automating spreadsheets while ensuring high analytical standards. It is designed to help you analyze, visualize, and explain complex data patterns to stakeholders. ## How It Works - **Methodology First**: principle. It utilizes a suite of internal reference guides—including metric contracts, chart selection logic, and decision briefs—to ensure every analysis is robust. It follows a strict process: identifying the decision to be made, locking metric definitions, and separating data extraction from interpretation to ensure ## Key Features - **Metric Contracts**: Standardize KPI definitions, grains, and filters to ensure a single source of truth. - **Statistical Rigor Checklist**: Automatically verify sample sizes, comparison fairness, and effect significance. - **Chart Selection Logic**: Guidance on choosing the right visual (trend, distribution, cohort) to answer specific business questions. - **Decision-Ready Briefs**: Outputs formatted for stakeholders that lead with insights and recommended actions. - **Anomaly Detection**: Specialized approaches for identifying and flagging unusual data points. ## Requirements - **No External API Keys Required**: This skill functions as a methodology and reasoning framework and does not require external service connections to operate. ## Use Cases - **KPI Debugging**: Investigating unexpected shifts in business metrics to find the root cause. - **Experiment Readouts**: Analyzing A/B test results to determine statistical significance and practical importance. - **Cohort Analysis**: Tracking user behavior and retention curves over time to understand lifecycle trends. - **Executive Reporting**: Translating technical data findings into high-level decision briefs for leadership. ## Installation Install via: `npx clawhub@latest install data-analysis`

Installation

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In Ihrem Terminal ausführen

npx clawhub@latest install data-analysis
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Klicken Sie oben auf dieser Seite auf die Schaltfläche Installieren für eine Ein-Klick-Einrichtung