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# Taxonomy Distribution Report

## Overview

- **Total Concepts**: 200
- **Number of Taxonomies**: 12
- **Average Concepts per Taxonomy**: 16.7

## Distribution Summary

| Category | TaxonomyID | Count | Percentage | Status |
|----------|-----------|-------|------------|--------|
| DATAS | DATAS | 37 | 18.5% | ✅ |
| SKILL | SKILL | 30 | 15.0% | ✅ |
| GRAPH | GRAPH | 30 | 15.0% | ✅ |
| RSRCE | RSRCE | 18 | 9.0% | ✅ |
| EDTHY | EDTHY | 17 | 8.5% | ✅ |
| AIFND | AIFND | 14 | 7.0% | ✅ |
| Intermediate Topics | INTER | 12 | 6.0% | ✅ |
| TOOLS | TOOLS | 11 | 5.5% | ✅ |
| VERCT | VERCT | 9 | 4.5% | ✅ |
| IBOOK | IBOOK | 8 | 4.0% | ✅ |
| CONTE | CONTE | 8 | 4.0% | ✅ |
| MKDOC | MKDOC | 6 | 3.0% | ✅ |

## Visual Distribution

```
DATAS  █████████  37 ( 18.5%)
SKILL  ███████  30 ( 15.0%)
GRAPH  ███████  30 ( 15.0%)
RSRCE  ████  18 (  9.0%)
EDTHY  ████  17 (  8.5%)
AIFND  ███  14 (  7.0%)
INTER  ███  12 (  6.0%)
TOOLS  ██  11 (  5.5%)
VERCT  ██   9 (  4.5%)
IBOOK  ██   8 (  4.0%)
CONTE  ██   8 (  4.0%)
MKDOC  █   6 (  3.0%)
```

## Balance Analysis

### ✅ No Over-Represented Categories

All categories are under the 30% threshold. Good balance!

## Category Details

### DATAS (DATAS)

**Count**: 37 concepts (18.5%)

**Concepts**:

- 71. CSV File Format for Graphs
- 72. Pipe-Delimited Dependencies
- 73. ConceptID Field
- 74. ConceptLabel Field
- 75. Dependencies Field
- 91. Taxonomy
- 92. Concept Categorization
- 93. Taxonomy Categories
- 94. TaxonomyID Abbreviations
- 95. Category Distribution
- 96. Avoiding Over-Representation
- 97. TaxonomyID Field in CSV
- 98. Adding Taxonomy to Graph
- 99. vis-network JSON Format
- 100. JSON Schema for Learning Graphs
- *...and 22 more*

### SKILL (SKILL)

**Count**: 30 concepts (15.0%)

**Concepts**:

- 6. Claude Skill
- 7. Skill Definition File Structure
- 8. YAML Frontmatter in Skills
- 9. Skill Name and Description
- 10. Skill License Information
- 11. Allowed Tools in Skills
- 12. Skill Workflow Instructions
- 13. Installing a Claude Skill
- 14. Listing Available Skills
- 15. Invoking Skills with Slash Commands
- 16. Skill Execution Context
- 17. Claude Command
- 18. Command Definition Files
- 19. Installing Claude Commands
- 20. Difference Between Skills & Commands
- *...and 15 more*

### GRAPH (GRAPH)

**Count**: 30 concepts (15.0%)

**Concepts**:

- 39. Learning Graph
- 40. Concept Nodes in Learning Graphs
- 41. Dependency Edges in Learning Graphs
- 42. Directed Acyclic Graph (DAG)
- 43. Prerequisite Relationships
- 44. Concept Dependencies
- 45. Learning Pathways
- 63. Concept Enumeration Process
- 64. Generating 200 Concepts
- 65. Concept Label Requirements
- 66. Title Case Convention
- 67. Maximum Character Length
- 68. Concept Granularity
- 69. Atomic Concepts
- 70. Dependency Mapping Process
- *...and 15 more*

### RSRCE (RSRCE)

**Count**: 18 concepts (9.0%)

**Concepts**:

- 115. Glossary
- 116. ISO 11179 Standards
- 117. Precise Definitions
- 118. Concise Definitions
- 119. Distinct Definitions
- 120. Non-Circular Definitions
- 121. Definitions Without Business Rules
- 122. Glossary Generation Process
- 123. FAQ
- 124. FAQ Generation Process
- 125. Common Student Questions
- 126. FAQ from Course Content
- 139. Quiz
- 140. Multiple-Choice Questions
- 141. Quiz Alignment with Concepts
- *...and 3 more*

### EDTHY (EDTHY)

**Count**: 17 concepts (8.5%)

**Concepts**:

- 46. Course Description
- 47. Target Audience Definition
- 48. Course Prerequisites
- 49. Main Topics Covered
- 50. Topics Excluded from Course
- 51. Learning Outcomes
- 52. Bloom's Taxonomy
- 53. Bloom's 2001 Revision
- 54. Remember (Cognitive Level 1)
- 55. Understand (Cognitive Level 2)
- 56. Apply (Cognitive Level 3)
- 57. Analyze (Cognitive Level 4)
- 58. Evaluate (Cognitive Level 5)
- 59. Create (Cognitive Level 6)
- 60. Action Verbs for Learning Outcomes
- *...and 2 more*

### AIFND (AIFND)

**Count**: 14 concepts (7.0%)

**Concepts**:

- 1. Artificial Intelligence
- 2. Claude AI
- 3. Large Language Models Overview
- 4. Anthropic Claude Pro Account
- 5. Claude Code Interface
- 176. Prompt Engineering
- 177. Prompt Design Principles
- 178. Educational Content Prompts
- 179. Iterative Prompt Refinement
- 180. Claude Token Limits
- 181. Token Management Strategies
- 182. 4-Hour Usage Windows
- 183. Claude Pro Limitations
- 184. Optimizing Claude Usage

### Intermediate Topics (INTER)

**Count**: 12 concepts (6.0%)

**Concepts**:

- 127. MicroSim
- 128. p5.js JavaScript Library
- 129. Interactive Simulations
- 130. MicroSim Directory Structure
- 131. main.html in MicroSims
- 132. index.md for MicroSim Docs
- 133. Iframe Embedding
- 134. Seeded Randomness
- 135. Interactive Controls (Sliders)
- 136. Interactive Controls (Buttons)
- 137. MicroSim Metadata
- 138. Educational Simulation Design

### TOOLS (TOOLS)

**Count**: 11 concepts (5.5%)

**Concepts**:

- 162. Visual Studio Code
- 163. VS Code for Content Development
- 164. Terminal in VS Code
- 165. Bash
- 166. Shell Scripts
- 167. Script Execution Permissions
- 191. Command-Line Interface Basics
- 192. Terminal Commands
- 193. Directory Navigation
- 194. File Creation and Editing
- 195. Symlink Creation

### VERCT (VERCT)

**Count**: 9 concepts (4.5%)

**Concepts**:

- 153. Git
- 154. Version Control Basics
- 155. Git Repository Structure
- 156. Git Status Command
- 157. Git Add Command
- 158. Git Commit Command
- 159. Git Push Command
- 160. GitHub Integration
- 161. GitHub Pages Deployment

### IBOOK (IBOOK)

**Count**: 8 concepts (4.0%)

**Concepts**:

- 26. Intelligent Textbook
- 27. Five Levels of Textbook Intelligence
- 28. Level 1: Static Content
- 29. Level 2: Hyperlinked Navigation
- 30. Level 3: Interactive Elements
- 31. Level 4: Adaptive Content
- 32. Level 5: AI Personalization
- 200. Capstone: Complete Textbook Project

### CONTE (CONTE)

**Count**: 8 concepts (4.0%)

**Concepts**:

- 145. Chapter Structure
- 146. Section Organization
- 147. Content Generation Process
- 148. Chapter Index Files
- 149. Chapter Concept Lists
- 150. Reading Level Appropriateness
- 151. Worked Examples in Content
- 152. Practice Exercises

### MKDOC (MKDOC)

**Count**: 6 concepts (3.0%)

**Concepts**:

- 33. MkDocs
- 34. MkDocs Material Theme
- 35. MkDocs Configuration File
- 36. Navigation Structure in MkDocs
- 37. Markdown Formatting Basics
- 38. Admonitions in MkDocs

## Recommendations

- ✅ **Good balance**: Categories are reasonably distributed (spread: 15.5%)
- ✅ **MISC category minimal**: Good categorization specificity

### Educational Use Recommendations

- Use taxonomy categories for color-coding in graph visualizations
- Design curriculum modules based on taxonomy groupings
- Create filtered views for focused learning paths
- Use categories for assessment organization
- Enable navigation by topic area in interactive tools

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*Report generated by learning-graph-reports/taxonomy_distribution.py*