q_descriptive-analysis
✓Comprehensive descriptive analysis of tabular datasets with grouped statistics, entity extraction, and publication-ready summaries. Use when analyzing Excel/CSV datasets requiring: (1) Overall and grouped descriptive statistics, (2) Frequency distributions by categorical variables, (3) Entity extraction from text fields, (4) Temporal dynamics analysis, (5) CSV output tables with MD summary reports. Supports SDT scores, engagement metrics, or any continuous/categorical variables.
Installation
SKILL.md
Generate comprehensive exploratory descriptive analysis of tabular datasets with grouped statistics, frequency tables, entity extraction, and publication-ready markdown summaries.
| 01 | sampleoverview.csv | N, date range, unique counts | | 02-07 | {groupvar}distribution.csv | Frequency for each grouping variable | | 08 | continuousoverall.csv | Mean, SD, Median, Min, Max | | 08a-f | continuousby{groupvar}.csv | Descriptives stratified by group | | 09-10 | categoricaldistribution.csv | Key categorical variables |
| 11-15 | entity{fieldname}.csv | Extracted entity frequencies | | 16 | temporaltrends.csv | Metrics over time |
Comprehensive descriptive analysis of tabular datasets with grouped statistics, entity extraction, and publication-ready summaries. Use when analyzing Excel/CSV datasets requiring: (1) Overall and grouped descriptive statistics, (2) Frequency distributions by categorical variables, (3) Entity extraction from text fields, (4) Temporal dynamics analysis, (5) CSV output tables with MD summary reports. Supports SDT scores, engagement metrics, or any continuous/categorical variables. Source: tyrealq/q-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/tyrealq/q-skills --skill q_descriptive-analysis- Source
- tyrealq/q-skills
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is q_descriptive-analysis?
Comprehensive descriptive analysis of tabular datasets with grouped statistics, entity extraction, and publication-ready summaries. Use when analyzing Excel/CSV datasets requiring: (1) Overall and grouped descriptive statistics, (2) Frequency distributions by categorical variables, (3) Entity extraction from text fields, (4) Temporal dynamics analysis, (5) CSV output tables with MD summary reports. Supports SDT scores, engagement metrics, or any continuous/categorical variables. Source: tyrealq/q-skills.
How do I install q_descriptive-analysis?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/tyrealq/q-skills --skill q_descriptive-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/tyrealq/q-skills
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01