q-exploratory-analysis
CommunityUnlock data insights with universal EDA.
Data & Analytics#exploratory data analysis#statistical analysis#data summarization#eda#data profiling#tabular data
AuthorTyrealQ
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of exploratory data analysis (EDA) for tabular datasets, transforming raw data into understandable insights and structured outputs.
Core Features & Use Cases
- Automated Analysis: Performs descriptive statistics, distribution analysis, frequency tables, and trend analysis based on column types.
- User-Guided Classification: Interviews the user to confirm measurement levels (numeric, categorical, temporal, text) for accurate analysis.
- Structured Outputs: Generates a
TABLE/directory with CSV outputs and a comprehensiveEXPLORATORY_SUMMARY.mdfile. - Use Case: Before writing the results section of a research paper, use this Skill to quickly understand the characteristics of your dataset, identify key patterns, and flag potential issues.
Quick Start
Use the q-exploratory-analysis skill to analyze the attached file 'sales_data.csv'.
Dependency Matrix
Required Modules
pandasnumpyscipyopenpyxl
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: q-exploratory-analysis Download link: https://github.com/TyrealQ/q-skills/archive/main.zip#q-exploratory-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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