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Chapter Metrics

Generated by: Book Metrics Python Program v0.05
Generated on: February 09, 2026 at 09:04 PM

This file contains chapter-by-chapter metrics for student-facing content.

Chapter Name Sections Diagrams Equations Words Links
1 Introduction to Organizational Analytics 18 6 0 7,704 12
2 Graph Database Fundamentals 22 5 0 7,780 11
3 Employee Event Streams 21 5 0 7,742 11
4 Data Pipelines and Graph Loading 27 5 0 8,370 12
5 Modeling the Organization 31 4 0 6,108 12
6 Ethics, Privacy, and Security 25 4 0 8,024 11
7 Graph Algorithms: Centrality and Pathfinding 19 5 0 7,676 11
8 Graph Algorithms: Community and Similarity 26 5 0 7,307 12
9 Natural Language Processing 18 6 0 8,170 12
10 Machine Learning and Graph ML 24 5 0 8,386 13
11 Organizational Insights 29 5 0 7,174 15
12 Recognition, Alignment, and Innovation 18 5 0 6,906 14
13 Talent Management and Placement 24 5 0 7,131 14
14 Reporting and Dashboards 20 5 0 8,119 14
15 Capstone Projects and Integration 21 6 5 7,750 16

Metrics Explanation

  • Chapter: Chapter number (leading zeros removed)
  • Name: Chapter title from index.md
  • Sections: Count of H2 and H3 headers in chapter markdown files
  • Diagrams: Count of H4 headers starting with '#### Diagram:'
  • Equations: LaTeX expressions using $ and $$ delimiters
  • Words: Word count across all markdown files in the chapter
  • Links: Markdown-formatted links [text](url)