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data-analysis

Conduct exploratory data analysis and guide statistical test selection.

Updated Feb 27, 2026
Search Tags:#reporting#data analysis#hypothesis testing#statistics#eda#power analysis
One-click install
npx skills add https://github.com/ahmedqayyum/idea-thinker-gui --skill data-analysis-ahmedqayyum
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analysis
Source: https://github.com/ahmedqayyum/idea-thinker-gui/tree/main/templates/skills/data-analysis
Command: npx skills add https://github.com/ahmedqayyum/idea-thinker-gui --skill data-analysis-ahmedqayyum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of understanding datasets, selecting appropriate statistical tests, and reporting findings accurately.

Core Features & Use Cases

  • Exploratory Data Analysis (EDA): Guides users through inspecting, summarizing, and visualizing data to uncover patterns and issues.
  • Statistical Test Selection: Provides a decision tree and guidance for choosing the correct statistical tests based on data type and research question.
  • Power Analysis & Reporting: Assists in calculating sample sizes and formatting results according to APA standards.
  • Use Case: A researcher has a new dataset and needs to determine the best statistical method to test their hypothesis, perform the analysis, and write up the results for a publication.

Quick Start

Use the data-analysis skill to explore the dataset in 'sales_data.csv'.

Frequently Asked Questions about data-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I select the right statistical test for my research data?▼

To select the right statistical test, this skill provides a decision tree based on your data type and research question, guiding data scientists through hypothesis testing and ensuring accurate statistical method selection for research datasets.

What is exploratory data analysis and how do I conduct it on a new dataset?▼

Exploratory data analysis (EDA) is the process of inspecting, summarizing, and visualizing data to uncover patterns. This skill guides you through structured EDA workflows to identify issues and understand your dataset before hypothesis testing.

How do I calculate sample size using power analysis for a study?▼

To calculate sample size using power analysis, this skill assists researchers in determining the appropriate sample sizes needed for hypothesis testing, ensuring your study has sufficient statistical power before data collection and analysis.

How do I format statistical results and report findings in APA style?▼

To format statistical results in APA style, this skill provides structured APA reporting templates that facilitate the accurate reporting of research findings and streamline manuscript preparation for publication.

Do I need any specific statistical software dependencies to perform hypothesis testing?▼

No specific software dependencies are required to perform hypothesis testing. This skill operates independently to guide statistical test selection, power analysis, and reporting workflows without external software prerequisites.

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