Taxonomy Distribution Report

Overview

• Total Concepts: 350
• Number of Taxonomies: 12
• Average Concepts per Taxonomy: 29.2

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Displays and Drawing	DISP	66	18.9%	✅
Timekeeping	TIME	45	12.9%	✅
Python Programming	PYTH	44	12.6%	✅
Projects and Kits	PROJ	35	10.0%	✅
Design and Development	DSGN	34	9.7%	✅
Hardware and Electronics	HARD	22	6.3%	✅
Communication Buses	COMM	22	6.3%	✅
Input and Sensors	INPT	21	6.0%	✅
Microcontroller	MCTR	20	5.7%	✅
Sound and Power	SNPW	19	5.4%	✅
Math and Geometry	MATH	16	4.6%	✅
Foundation Concepts	FOUND	6	1.7%	ℹ️ Under

Visual Distribution

Displays and Drawing     █████████  66 ( 18.9%)
Timekeeping              ██████  45 ( 12.9%)
Python Programming       ██████  44 ( 12.6%)
Projects and Kits        █████  35 ( 10.0%)
Design and Development   ████  34 (  9.7%)
Hardware and Electronics ███  22 (  6.3%)
Communication Buses      ███  22 (  6.3%)
Input and Sensors        ███  21 (  6.0%)
Microcontroller          ██  20 (  5.7%)
Sound and Power          ██  19 (  5.4%)
Math and Geometry        ██  16 (  4.6%)
Foundation Concepts         6 (  1.7%)

Balance Analysis

✅ No Over-Represented Categories

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

ℹ️ Under-Represented Categories (<3%)

• Foundation Concepts (FOUND): 6 concepts (1.7%)
• Note: Small categories are acceptable for specialized topics

Category Details

Displays and Drawing (DISP)

Count: 66 concepts (18.9%)

Concepts:

• 1. LED Display
• 1. Seven Segment Display
• 1. Segment Multiplexing
• 1. TM1637 Driver
• 1. TM1637 Wiring
• 1. Colon Flashing
• 1. Brightness Control
• 1. MAX7219 Driver
• 1. Character LCD
• 1. LCD1602 Display
• 1. OLED Display
• 1. SSD1306 Driver
• 1. SSD1306 I2C Setup
• 1. SSD1306 SPI Setup
• 1. SH1106 Driver
• ...and 51 more

Timekeeping (TIME)

Count: 45 concepts (12.9%)

Concepts:

• 1. Localtime Function
• 1. Time Tuple
• 1. Year Month Day
• 1. Hour Minute Second
• 1. Weekday Number
• 1. Day of Year
• 1. 12 Hour Format
• 1. 24 Hour Format
• 1. AM PM Conversion
• 1. Time Formatting
• 1. Date Formatting
• 1. Weekday Labels
• 1. Month Labels
• 1. Real-Time Clock
• 1. DS3231 RTC
• ...and 30 more

Python Programming (PYTH)

Count: 44 concepts (12.6%)

Concepts:

• 1. MicroPython
• 1. Python Syntax
• 1. Variables
• 1. Data Types
• 1. Integers
• 1. Floats
• 1. Strings
• 1. Booleans
• 1. Lists
• 1. Tuples
• 1. Dictionaries
• 1. Arithmetic Operations
• 1. Assignment Operators
• 1. Conditionals
• 1. If Else Elif
• ...and 29 more

Projects and Kits (PROJ)

Count: 35 concepts (10.0%)

Concepts:

• 1. NeoPixel LEDs
• 1. WS2812B Standard
• 1. NeoPixel Wiring
• 1. Addressable LEDs
• 1. NeoPixel Color Mixing
• 1. Binary Clock
• 1. Fibonacci Clock
• 1. NeoPixel Seven Segment
• 1. Shift Register
• 1. 74HC595 Chip
• 1. Serial to Parallel
• 1. Latch Pin
• 1. Shift Register Chaining
• 1. Alarm Clock Features
• 1. Snooze Function
• ...and 20 more

Design and Development (DSGN)

Count: 34 concepts (9.7%)

Concepts:

• 1. Project Planning
• 1. Design Trade-Offs
• 1. Cost Analysis
• 1. User Experience Design
• 1. Code Modularity
• 1. Program Variants
• 1. Main Buttons Program
• 1. Main RTC Program
• 1. Main WiFi Program
• 1. Generative AI Prompts
• 1. AI Code Generation
• 1. AI Code Review
• 1. Peer Review
• 1. Final Presentation
• 1. Wiring Diagrams
• ...and 19 more

Hardware and Electronics (HARD)

Count: 22 concepts (6.3%)

Concepts:

• 1. Breadboard
• 1. Breadboard Wiring
• 1. Power Supply
• 1. Voltage Levels
• 1. 3.3V vs 5V Logic
• 1. Ground Connection
• 1. Soldering Skills
• 1. Ohms Law
• 1. Current Limiting
• 1. Voltage Divider
• 1. Capacitors
• 1. Resistor Values
• 1. LED Basics
• 1. LED Current Draw
• 1. Wire Color Coding
• ...and 7 more

Communication Buses (COMM)

Count: 22 concepts (6.3%)

Concepts:

• 1. I2C Bus
• 1. I2C SDA Pin
• 1. I2C SCL Pin
• 1. I2C Device Addressing
• 1. I2C Scanner
• 1. I2C Pull-Up Resistors
• 1. I2C Bus Speed
• 1. SPI Bus
• 1. SPI Clock Pin
• 1. SPI Data Pin
• 1. SPI Chip Select
• 1. SPI DC Pin
• 1. SPI Reset Pin
• 1. SPI Baudrate
• 1. Baudrate Tuning
• ...and 7 more

Input and Sensors (INPT)

Count: 21 concepts (6.0%)

Concepts:

• 1. Momentary Push Button
• 1. Button Wiring
• 1. Button Debouncing
• 1. Software Debounce
• 1. Hardware Debounce
• 1. Interrupt Handlers
• 1. IRQ Falling Edge
• 1. State Machine
• 1. Mode Cycling
• 1. Rotary Encoder
• 1. Encoder Direction
• 1. Encoder Acceleration
• 1. Photosensor
• 1. Light Dependent Resistor
• 1. ADC Reading
• ...and 6 more

Microcontroller (MCTR)

Count: 20 concepts (5.7%)

Concepts:

• 1. Raspberry Pi Pico
• 1. RP2040 Chip
• 1. Dual Core Architecture
• 1. GPIO Pins
• 1. Pin Configuration
• 1. Pull-Up Resistors
• 1. Internal Pull-Up
• 1. USB Connection
• 1. Thonny IDE
• 1. REPL
• 1. Flash Memory
• 1. File System on Pico
• 1. Config File Pattern
• 1. Microcontroller
• 1. Clock Architecture
• ...and 5 more

Sound and Power (SNPW)

Count: 19 concepts (5.4%)

Concepts:

• 1. CR2032 Coin Cell
• 1. PWM Sound
• 1. Piezo Buzzer
• 1. Speaker Output
• 1. DAC PCM5102
• 1. I2S Protocol
• 1. Audio Sampling Rate
• 1. Alarm Tones
• 1. Power Management
• 1. USB Power
• 1. Battery Power
• 1. LiPo Battery
• 1. AA Battery Pack
• 1. Low Power Mode
• 1. Voltage Regulator
• ...and 4 more

Math and Geometry (MATH)

Count: 16 concepts (4.6%)

Concepts:

• 1. Modular Arithmetic
• 1. Sine Function
• 1. Cosine Function
• 1. Trigonometry Basics
• 1. Polar Coordinates
• 1. Radians vs Degrees
• 1. Angle Calculation
• 1. X Y Coordinate System
• 1. Pixel Coordinate Mapping
• 1. Center Point Calculation
• 1. Clock Hand Length
• 1. Tick Mark Geometry
• 1. Arc Drawing
• 1. Rotation Math
• 1. Integer Math Tricks
• ...and 1 more

Foundation Concepts (FOUND)

Count: 6 concepts (1.7%)

Concepts:

• 1. Computational Thinking
• 1. Decomposition
• 1. Pattern Recognition
• 1. Abstraction
• 1. Algorithmic Thinking
• 1. Physical Computing

Recommendations

• ✅ Good balance: Categories are reasonably distributed (spread: 17.1%)
• ✅ 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