descriptive-statistics
CommunityAutomate descriptive stats and visualizations.
Authorsencersoylu
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive protocol for summarizing and characterizing data, enabling researchers to quickly generate robust descriptive statistics and publication-ready summaries.
Core Features & Use Cases
- Data Inspection & Summary: checks data quality, missingness, data types, and basic statistics to form the basis of analysis.
- Central Tendency, Dispersion & Distribution: computes mean, median, mode, SD, IQR, min/max, skewness, and kurtosis; supports normality assessment and distribution visualization.
- Table 1 Generation & Reporting: constructs baseline characteristic tables for studies and exports results for manuscripts.
- CLI & Reproducibility: provides standalone scripts (summary_stats.py) to reproduce analyses on new datasets.
Quick Start
Run python scripts/summary_stats.py --input data.csv to generate descriptive statistics for numeric columns.
Dependency Matrix
Required Modules
numpyscipypandasmatplotlibtabulate
Components
scripts
💻 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: descriptive-statistics Download link: https://github.com/sencersoylu/scholar-flow/archive/main.zip#descriptive-statistics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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