Taxonomy Distribution Report

Overview

• Total Concepts: 485
• Number of Taxonomies: 24
• Average Concepts per Taxonomy: 20.2

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
APP	APP	41	8.5%	✅
IO	IO	39	8.0%	✅
Foundation Concepts - Prerequisites	FOUND	30	6.2%	✅
MCU	MCU	28	5.8%	✅
ELEC	ELEC	27	5.6%	✅
OLED	OLED	24	4.9%	✅
WIFI	WIFI	24	4.9%	✅
ACT	ACT	23	4.7%	✅
SENS	SENS	22	4.5%	✅
Advanced Topics	ADV	22	4.5%	✅
UENV	UENV	20	4.1%	✅
COMM	COMM	20	4.1%	✅
TFT	TFT	18	3.7%	✅
SND	SND	18	3.7%	✅
HADV	HADV	18	3.7%	✅
STEMP	STEMP	16	3.3%	✅
DISP	DISP	16	3.3%	✅
NEO	NEO	15	3.1%	✅
ROB	ROB	13	2.7%	ℹ️ Under
SDIST	SDIST	12	2.5%	ℹ️ Under
DBG	DBG	12	2.5%	ℹ️ Under
SMOT	SMOT	11	2.3%	ℹ️ Under
FS	FS	10	2.1%	ℹ️ Under
EPAP	EPAP	6	1.2%	ℹ️ Under

Visual Distribution

APP                       ████  41 (  8.5%)
IO                        ████  39 (  8.0%)
Foundation Concepts - Pre ███  30 (  6.2%)
MCU                       ██  28 (  5.8%)
ELEC                      ██  27 (  5.6%)
OLED                      ██  24 (  4.9%)
WIFI                      ██  24 (  4.9%)
ACT                       ██  23 (  4.7%)
SENS                      ██  22 (  4.5%)
Advanced Topics           ██  22 (  4.5%)
UENV                      ██  20 (  4.1%)
COMM                      ██  20 (  4.1%)
TFT                       █  18 (  3.7%)
SND                       █  18 (  3.7%)
HADV                      █  18 (  3.7%)
STEMP                     █  16 (  3.3%)
DISP                      █  16 (  3.3%)
NEO                       █  15 (  3.1%)
ROB                       █  13 (  2.7%)
SDIST                     █  12 (  2.5%)
DBG                       █  12 (  2.5%)
SMOT                      █  11 (  2.3%)
FS                        █  10 (  2.1%)
EPAP                         6 (  1.2%)

Balance Analysis

✅ No Over-Represented Categories

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

ℹ️ Under-Represented Categories (<3%)

• ROB (ROB): 13 concepts (2.7%)
• Note: Small categories are acceptable for specialized topics
• SDIST (SDIST): 12 concepts (2.5%)
• Note: Small categories are acceptable for specialized topics
• DBG (DBG): 12 concepts (2.5%)
• Note: Small categories are acceptable for specialized topics
• SMOT (SMOT): 11 concepts (2.3%)
• Note: Small categories are acceptable for specialized topics
• FS (FS): 10 concepts (2.1%)
• Note: Small categories are acceptable for specialized topics
• EPAP (EPAP): 6 concepts (1.2%)
• Note: Small categories are acceptable for specialized topics

Category Details

APP (APP)

Count: 41 concepts (8.5%)

Concepts:

• 1. Generative AI for Coding
• 1. Prompt Engineering Basics
• 1. AI Code Generation
• 1. AI Code Review
• 1. Debugging with AI
• 1. AI Concept Explanation
• 1. AI Hardware Suggestion
• 1. Maker Pi RP2040 Kit
• 1. Maker Pi Pico Kit
• 1. Maker Nano RP2040 Kit
• 1. PWM Kit Project
• 1. Tone Generator Kit
• 1. Spectrum Analyzer Kit
• 1. NeoPixel Rotary Kit
• 1. Larson Scanner Kit
• ...and 26 more

IO (IO)

Count: 39 concepts (8.0%)

Concepts:

• 1. Digital Output
• 1. Digital Input
• 1. HIGH and LOW States
• 1. machine.Pin Class
• 1. Pin.OUT Mode
• 1. Pin.IN Mode
• 1. Pin.value() Method
• 1. LED Blink Program
• 1. Button Input
• 1. Button Debouncing
• 1. Software Debouncing
• 1. Hardware Debouncing
• 1. Active High vs Active Low
• 1. Internal LED
• 1. External LED Circuit
• ...and 24 more

Foundation Concepts - Prerequisites (FOUND)

Count: 30 concepts (6.2%)

Concepts:

• 1. Computer Program
• 1. Source Code
• 1. Variable
• 1. Data Type
• 1. Integer
• 1. Float
• 1. String
• 1. Boolean
• 1. List
• 1. Dictionary
• 1. Tuple
• 1. Conditional Statement
• 1. If-Else Statement
• 1. For Loop
• 1. While Loop
• ...and 15 more

MCU (MCU)

Count: 28 concepts (5.8%)

Concepts:

• 1. Microcontroller
• 1. Raspberry Pi Pico
• 1. Raspberry Pi Pico W
• 1. RP2040 Chip
• 1. ESP32 Microcontroller
• 1. ESP8266 Microcontroller
• 1. Cytron Maker Pi RP2040
• 1. Maker Pi Pico
• 1. Maker Nano RP2040
• 1. Raspberry Pi 500 Keyboard
• 1. Micro:bit
• 1. GPIO Pin
• 1. GPIO Numbering
• 1. Pin Modes (Input/Output)
• 1. Pull-Up Resistor
• ...and 13 more

ELEC (ELEC)

Count: 27 concepts (5.6%)

Concepts:

• 1. Voltage
• 1. Current
• 1. Resistance
• 1. Ohm's Law
• 1. Power (Watts)
• 1. Series Circuit
• 1. Parallel Circuit
• 1. Short Circuit
• 1. Current-Limiting Resistor
• 1. Resistor Color Code
• 1. Capacitor
• 1. LED (Light Emitting Diode)
• 1. LED Forward Voltage
• 1. LED Current Rating
• 1. Transistor
• ...and 12 more

OLED (OLED)

Count: 24 concepts (4.9%)

Concepts:

• 1. OLED Display
• 1. OLED SSD1306 Controller
• 1. SSD1306 I2C Interface
• 1. SSD1306 SPI Interface
• 1. SSD1306 128x64 Resolution
• 1. SSD1306 128x32 Resolution
• 1. ssd1306 Module
• 1. SSD1306_I2C Class
• 1. SSD1306_SPI Class
• 1. OLED SH1106 Controller
• 1. SH1106 I2C Interface
• 1. sh1106 Module
• 1. OLED SSD1352 Controller
• 1. OLED Framebuffer
• 1. oled.text() Method
• ...and 9 more

WIFI (WIFI)

Count: 24 concepts (4.9%)

Concepts:

• 1. Wi-Fi Basics
• 1. SSID and Password
• 1. network Module
• 1. network.WLAN Class
• 1. WLAN.connect() Method
• 1. WLAN.isconnected() Method
• 1. IP Address
• 1. MAC Address
• 1. HTTP Protocol
• 1. HTTP GET Request
• 1. urequests Module
• 1. JSON Parsing
• 1. ujson Module
• 1. Web Server on Pico W
• 1. socket Module
• ...and 9 more

ACT (ACT)

Count: 23 concepts (4.7%)

Concepts:

• 1. DC Motor
• 1. Motor Direction Control
• 1. Motor Speed Control
• 1. H-Bridge Circuit
• 1. L293D Motor Driver IC
• 1. DRV8833 Motor Driver IC
• 1. L298N Motor Driver IC
• 1. Transistor Motor Control
• 1. Motor Stall Current
• 1. Motor Free-Run Current
• 1. Back-EMF Protection
• 1. Flyback Diode
• 1. Servo Motor
• 1. Servo Signal (50Hz PWM)
• 1. Servo Angle Control
• ...and 8 more

SENS (SENS)

Count: 22 concepts (4.5%)

Concepts:

• 1. Photoresistor (LDR)
• 1. APDS9960 Gesture Sensor
• 1. APDS9960 Color Detection
• 1. APDS9960 Proximity Detection
• 1. APDS9960 I2C Driver
• 1. Color Sensing Principles
• 1. Ambient Light Sensing
• 1. Rotary Encoder
• 1. Rotary Encoder CLK and DT Pins
• 1. Encoder Interrupt Handler
• 1. Quadrature Encoding
• 1. rotary Module
• 1. Touch Sensor TTP223
• 1. Capacitive Touch Sensing
• 1. Touch.value() Method
• ...and 7 more

Advanced Topics (ADV)

Count: 22 concepts (4.5%)

Concepts:

• 1. Interrupt Handler
• 1. IRQ (Interrupt Request)
• 1. Pin.irq() Method
• 1. Timer Class
• 1. machine.Timer
• 1. Timer Callback
• 1. Periodic vs One-Shot Timer
• 1. Non-Blocking Programming
• 1. Blocking vs Non-Blocking
• 1. machine.time_pulse_us()
• 1. utime.sleep()
• 1. utime.ticks_ms()
• 1. utime.ticks_diff()
• 1. Multi-Core Programming
• 1. _thread Module
• ...and 7 more

UENV (UENV)

Count: 20 concepts (4.1%)

Concepts:

• 1. MicroPython
• 1. MicroPython REPL
• 1. MicroPython Firmware
• 1. Flashing Firmware
• 1. Thonny IDE
• 1. VS Code IDE
• 1. Thonny File Manager
• 1. mpremote Tool
• 1. rshell Tool
• 1. File Transfer to Pico
• 1. MicroPython Interpreter
• 1. Interactive Mode
• 1. Script Mode
• 1. Boot.py File
• 1. Main.py File
• ...and 5 more

COMM (COMM)

Count: 20 concepts (4.1%)

Concepts:

• 1. I2C Protocol
• 1. I2C Bus SDA and SCL
• 1. I2C Address
• 1. I2C Scanner
• 1. machine.I2C Class
• 1. I2C.scan() Method
• 1. I2C.writeto() Method
• 1. I2C.readfrom() Method
• 1. SPI Protocol
• 1. SPI Bus Pins (MOSI MISO SCK CS)
• 1. machine.SPI Class
• 1. SPI.write() Method
• 1. SPI.read() Method
• 1. UART Protocol
• 1. machine.UART Class
• ...and 5 more

TFT (TFT)

Count: 18 concepts (3.7%)

Concepts:

• 1. TFT Display
• 1. ILI9341 TFT Driver
• 1. ILI9341 SPI Interface
• 1. ILI9341 Color Depth (16-bit)
• 1. ST7789V Color LCD Driver
• 1. ST7789V SPI Interface
• 1. ST7789V Resolution
• 1. Graphic LCD (CU1609C)
• 1. Waveshare LCD
• 1. Framebuf Module
• 1. framebuf.FrameBuffer Class
• 1. framebuf.MONO_HLSB Format
• 1. framebuf.RGB565 Format
• 1. Bitmap Drawing
• 1. Custom Drawing Functions
• ...and 3 more

SND (SND)

Count: 18 concepts (3.7%)

Concepts:

• 1. Passive Buzzer
• 1. Active Buzzer
• 1. Tone Generation
• 1. Musical Note Frequencies
• 1. Play a Scale
• 1. Play a Melody
• 1. Mario Theme Program
• 1. Eight-Key Piano Program
• 1. WAV Audio File
• 1. MP3 to WAV Conversion
• 1. Audio Playback
• 1. I2S Audio Output
• 1. I2S Standard
• 1. DAC (Digital-to-Analog Converter)
• 1. MIDI Protocol
• ...and 3 more

HADV (HADV)

Count: 18 concepts (3.7%)

Concepts:

• 1. PIO (Programmable I/O) State Machine
• 1. PIO Assembly Language
• 1. PIO for WS2812B
• 1. Assembler in MicroPython
• 1. FFT Algorithm
• 1. FFT Optimization
• 1. DMA (Direct Memory Access)
• 1. Frame Buffer
• 1. I2C Scanner Program
• 1. String Formatting
• 1. Conda Virtual Environment
• 1. CircuitPython vs MicroPython
• 1. mpremote File Commands
• 1. Measuring Battery Voltage
• 1. VSYS Voltage Measurement
• ...and 3 more

STEMP (STEMP)

Count: 16 concepts (3.3%)

Concepts:

• 1. DHT11 Sensor
• 1. DHT22 Sensor
• 1. dht Module in MicroPython
• 1. DHT.measure() Method
• 1. DHT.temperature() Method
• 1. DHT.humidity() Method
• 1. BME280 Sensor
• 1. BME280 Temperature Reading
• 1. BME280 Humidity Reading
• 1. BME280 Pressure Reading
• 1. BME280 I2C Driver
• 1. DS18B20 Temperature Sensor
• 1. DS18B20 1-Wire Interface
• 1. DS18B20 Multiple Sensors
• 1. onewire Module
• ...and 1 more

DISP (DISP)

Count: 16 concepts (3.3%)

Concepts:

• 1. LED as Output Indicator
• 1. 7-Segment Display
• 1. 7-Segment Digit Encoding
• 1. 10-Bar LED Array
• 1. LED Level Meter
• 1. 8x8 LED Matrix
• 1. MAX7219 LED Driver
• 1. MAX7219 SPI Interface
• 1. MAX7219 Intensity Control
• 1. Character LCD Display
• 1. LCD 16x2
• 1. LCD PCF8574 I2C Backpack
• 1. lcd_api Module
• 1. LCD Cursor Control
• 1. 4-Digit 7-Segment Display
• ...and 1 more

NEO (NEO)

Count: 15 concepts (3.1%)

Concepts:

• 1. NeoPixel LED
• 1. WS2812B Protocol
• 1. NeoPixel Strip
• 1. NeoPixel Matrix
• 1. neopixel Module
• 1. NeoPixel.fill() Method
• 1. NeoPixel.show() Method
• 1. RGB Color Model
• 1. HSV Color Model
• 1. Color Wheel Animation
• 1. Rainbow Pattern
• 1. Brightness Scaling
• 1. LED Strip Wiring
• 1. NeoPixel Power Requirements
• 1. Level Shifter for NeoPixel

ROB (ROB)

Count: 13 concepts (2.7%)

Concepts:

• 1. Robot Chassis
• 1. Differential Drive
• 1. Forward/Backward Motion
• 1. Left/Right Turn Control
• 1. Line Follower Robot
• 1. Line Sensor (IR)
• 1. Collision Avoidance Robot
• 1. Obstacle Detection
• 1. Robot Calibration
• 1. Motor Deadband
• 1. Robot Speed Tuning
• 1. Ping-Servo Scanner
• 1. MicroSwitch Bumper Bot

SDIST (SDIST)

Count: 12 concepts (2.5%)

Concepts:

• 1. HC-SR04 Ultrasonic Sensor
• 1. HC-SR04 Trigger Pin
• 1. HC-SR04 Echo Pin
• 1. Speed of Sound Calculation
• 1. Ultrasonic Ranging Formula
• 1. VL53L0X Time-of-Flight Sensor
• 1. VL53L0X I2C Driver
• 1. VL53L0X.range Property
• 1. Time-of-Flight Measurement
• 1. IR Distance Sensor
• 1. IR Emitter and Detector
• 1. Collision Avoidance Logic

DBG (DBG)

Count: 12 concepts (2.5%)

Concepts:

• 1. Debugging Strategy
• 1. Print Debugging
• 1. Error Message Reading
• 1. Traceback Interpretation
• 1. I2C Debugging
• 1. SPI Debugging
• 1. Debugging with Thonny
• 1. Stack Trace Viewer
• 1. Heap Viewer
• 1. Minicom Serial Monitor
• 1. Logic Probe
• 1. Common Wiring Errors

SMOT (SMOT)

Count: 11 concepts (2.3%)

Concepts:

• 1. Accelerometer
• 1. ADXL345 Accelerometer
• 1. MPU6050 Accelerometer/Gyroscope
• 1. Accelerometer X/Y/Z Axes
• 1. Tilt Detection
• 1. HMC5883L Compass Sensor
• 1. QMC5883L Compass Sensor
• 1. Compass Heading Calculation
• 1. Magnetic Field Sensing
• 1. Gyroscope
• 1. IMU (Inertial Measurement Unit)

FS (FS)

Count: 10 concepts (2.1%)

Concepts:

• 1. MicroPython File System
• 1. open() Function
• 1. File Read and Write
• 1. os.listdir() Method
• 1. os.mkdir() Method
• 1. os.remove() Method
• 1. SD Card Reader
• 1. SPI SD Card Interface
• 1. uos Module
• 1. Persistent Storage

EPAP (EPAP)

Count: 6 concepts (1.2%)

Concepts:

• 1. E-Paper Display
• 1. E-Ink Technology
• 1. E-Paper Refresh Rate
• 1. E-Paper Low Power
• 1. E-Paper SPI Interface
• 1. Waveshare E-Paper Driver

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 7.2%)
• ✅ 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