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Concept Label Length Histogram

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Overview

This interactive visualization analyzes the length distribution of all 200 concept labels in the learning graph for "Using Claude Skills to Create Intelligent Textbooks."

Key Statistics

  • Total Concepts: 200
  • Average Length: 23.77 characters
  • Median Length: 24 characters
  • Range: 11-36 characters
  • Standard Deviation: 5.15 characters
  • Compliance: 98.5% of labels are within the 32-character guideline

Distribution Analysis

The histogram shows that concept labels follow a roughly normal distribution centered around 24-26 characters:

  • Peak: 26 characters (20 concepts, 10%)
  • Most Common Range: 21-27 characters (80 concepts, 40%)
  • Shortest Label: "What is Git" (11 characters)
  • Longest Labels: "Difference Between Skills & Commands" and "Five Levels of Textbook Intelligence" (36 characters each)

Design Rationale

Concept labels in learning graphs should be:

  1. Concise: Short enough to display clearly in graph visualizations
  2. Descriptive: Long enough to convey meaning without context
  3. Scannable: Easy to read at a glance in node labels
  4. Consistent: Maintain similar length for visual balance

The 32-character guideline helps ensure labels remain readable in compact graph visualizations while providing sufficient context for learners.

Interactive Features

  • Hover over bars to see exact counts and percentages
  • Color-coded visualization with gradient background
  • Statistics cards showing key metrics at a glance
  • Example labels showing shortest and longest concepts

Observations

  1. Well-Distributed: Labels show good variation without extreme outliers
  2. Guideline Compliance: Only 3 labels exceed 32 characters (1.5%)
  3. Readability: Average length of ~24 characters is optimal for graph nodes
  4. Title Case Convention: All labels follow consistent formatting

Try It

Generated: 2025-11-08 Analysis Tool: Python with Chart.js visualization Data Source: learning-graph/concept-list.md