Taxonomy Distribution Report

Overview

• Total Concepts: 400
• Number of Taxonomies: 15
• Average Concepts per Taxonomy: 26.7

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Data Structures	DATA	80	20.0%	✅
Object-Oriented Programming	OOP	45	11.2%	✅
Algorithms	ALGO	35	8.8%	✅
Python Basics	PYBASIC	30	7.5%	✅
Functions	FUNC	27	6.8%	✅
Control Flow	CTRL	25	6.2%	✅
Strings	STR	25	6.2%	✅
Foundation Concepts	FOUND	20	5.0%	✅
Testing and Debugging	TEST	20	5.0%	✅
Software Engineering	SENG	20	5.0%	✅
Advanced Python	ADVPY	20	5.0%	✅
Boolean Logic	BOOL	15	3.8%	✅
File I/O	FILEIO	15	3.8%	✅
Error Handling	ERR	15	3.8%	✅
Recursion	REC	8	2.0%	ℹ️ Under

Visual Distribution

Data Structures           ██████████  80 ( 20.0%)
Object-Oriented Programmi █████  45 ( 11.2%)
Algorithms                ████  35 (  8.8%)
Python Basics             ███  30 (  7.5%)
Functions                 ███  27 (  6.8%)
Control Flow              ███  25 (  6.2%)
Strings                   ███  25 (  6.2%)
Foundation Concepts       ██  20 (  5.0%)
Testing and Debugging     ██  20 (  5.0%)
Software Engineering      ██  20 (  5.0%)
Advanced Python           ██  20 (  5.0%)
Boolean Logic             █  15 (  3.8%)
File I/O                  █  15 (  3.8%)
Error Handling            █  15 (  3.8%)
Recursion                 █   8 (  2.0%)

Balance Analysis

✅ No Over-Represented Categories

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

ℹ️ Under-Represented Categories (<3%)

• Recursion (REC): 8 concepts (2.0%)
• Note: Small categories are acceptable for specialized topics

Category Details

Data Structures (DATA)

Count: 80 concepts (20.0%)

Concepts:

• 1. Lists
• 1. List Creation
• 1. List Indexing
• 1. List Slicing
• 1. List Mutability
• 1. List Methods
• 1. Append Method
• 1. Insert Method
• 1. Remove Method
• 1. Pop Method
• 1. Sort Method
• 1. Reverse Method
• 1. List Comprehension
• 1. Nested Lists
• 1. List of Lists
• ...and 65 more

Object-Oriented Programming (OOP)

Count: 45 concepts (11.2%)

Concepts:

• 1. Object-Oriented Programming
• 1. Classes
• 1. Objects
• 1. Class Definition
• 1. Class Instantiation
• 1. Instance Attributes
• 1. Class Attributes
• 1. The Self Parameter
• 1. Init Method
• 1. Constructor
• 1. Methods
• 1. Instance Methods
• 1. Str Method
• 1. Repr Method
• 1. Encapsulation
• ...and 30 more

Algorithms (ALGO)

Count: 35 concepts (8.8%)

Concepts:

• 1. Algorithm Design
• 1. Pseudocode
• 1. Flowcharts
• 1. Linear Search
• 1. Binary Search
• 1. Search Comparison
• 1. Selection Sort
• 1. Insertion Sort
• 1. Merge Sort
• 1. Merge Sort Recursion
• 1. Sorting Comparison
• 1. Stable vs Unstable Sort
• 1. Algorithm Correctness
• 1. Loop Invariants
• 1. Big-O Notation
• ...and 20 more

Python Basics (PYBASIC)

Count: 30 concepts (7.5%)

Concepts:

• 1. Python REPL
• 1. Python Scripts
• 1. Comments in Code
• 1. Variables
• 1. Variable Assignment
• 1. Variable Naming Rules
• 1. Data Types
• 1. Integer Type
• 1. Float Type
• 1. Boolean Type
• 1. String Type
• 1. Type Function
• 1. Type Conversion
• 1. Implicit Type Conversion
• 1. Explicit Type Casting
• ...and 15 more

Functions (FUNC)

Count: 27 concepts (6.8%)

Concepts:

• 1. Functions
• 1. Function Definition
• 1. Function Call
• 1. Parameters
• 1. Arguments
• 1. Return Statement
• 1. Return Values
• 1. None Type
• 1. Default Parameters
• 1. Keyword Arguments
• 1. Positional Arguments
• 1. Multiple Return Values
• 1. Variable Scope
• 1. Local Variables
• 1. Global Variables
• ...and 12 more

Control Flow (CTRL)

Count: 25 concepts (6.2%)

Concepts:

• 1. Control Flow
• 1. Sequential Execution
• 1. Conditional Statements
• 1. If Statement
• 1. If-Else Statement
• 1. Elif Statement
• 1. Nested Conditionals
• 1. Ternary Expression
• 1. Match Statement
• 1. Loops
• 1. For Loop
• 1. While Loop
• 1. Range Function
• 1. Loop Variable
• 1. Loop Body
• ...and 10 more

Strings (STR)

Count: 25 concepts (6.2%)

Concepts:

• 1. String Basics
• 1. String Indexing
• 1. Negative Indexing
• 1. String Slicing
• 1. Slice Notation
• 1. String Immutability
• 1. String Length
• 1. String Methods
• 1. Upper and Lower Methods
• 1. Strip Method
• 1. Split Method
• 1. Join Method
• 1. Find and Replace Methods
• 1. Startswith and Endswith
• 1. String Iteration
• ...and 10 more

Foundation Concepts (FOUND)

Count: 20 concepts (5.0%)

Concepts:

• 1. Computer Science
• 1. Computational Thinking
• 1. Algorithms
• 1. Abstraction
• 1. Decomposition
• 1. Pattern Recognition
• 1. Stepwise Refinement
• 1. Problem Solving
• 1. Binary Number System
• 1. Bits and Bytes
• 1. Character Encoding
• 1. ASCII and Unicode
• 1. Computer Hardware
• 1. CPU and Memory
• 1. Input and Output Devices
• ...and 5 more

Testing and Debugging (TEST)

Count: 20 concepts (5.0%)

Concepts:

• 1. Testing
• 1. Manual Testing
• 1. Unit Testing
• 1. Test Cases
• 1. Assert Statements
• 1. Unittest Module
• 1. Test Functions
• 1. Edge Cases
• 1. Boundary Testing
• 1. Test-Driven Development
• 1. Debugging
• 1. Print Debugging
• 1. Debugger Tools
• 1. Breakpoints
• 1. Step Through Code
• ...and 5 more

Software Engineering (SENG)

Count: 20 concepts (5.0%)

Concepts:

• 1. Software Development
• 1. Program Planning
• 1. Requirements Analysis
• 1. Modular Design
• 1. Code Organization
• 1. Import Statements
• 1. Python Modules
• 1. Python Packages
• 1. Pip Package Manager
• 1. Virtual Environments
• 1. Version Control Intro
• 1. Git Basics
• 1. Code Style
• 1. PEP 8 Guidelines
• 1. Linting Tools
• ...and 5 more

Advanced Python (ADVPY)

Count: 20 concepts (5.0%)

Concepts:

• 1. Generators
• 1. Yield Statement
• 1. Generator Expressions
• 1. Decorators
• 1. Closures
• 1. Args and Kwargs
• 1. Unpacking Operators
• 1. Walrus Operator
• 1. Type Hints
• 1. Type Annotations
• 1. Dataclasses
• 1. Enum Type
• 1. Regular Expressions
• 1. Collections Module
• 1. Itertools Module
• ...and 5 more

Boolean Logic (BOOL)

Count: 15 concepts (3.8%)

Concepts:

• 1. Boolean Expressions
• 1. Comparison Operators
• 1. Equal and Not Equal
• 1. Greater and Less Than
• 1. Logical Operators
• 1. And Operator
• 1. Or Operator
• 1. Not Operator
• 1. Short-Circuit Evaluation
• 1. Truthiness and Falsiness
• 1. Boolean Conversion
• 1. Chained Comparisons
• 1. Order of Operations
• 1. De Morgan's Laws
• 1. Truth Tables

File I/O (FILEIO)

Count: 15 concepts (3.8%)

Concepts:

• 1. File Input Output
• 1. Opening Files
• 1. File Modes
• 1. Read Method
• 1. Readline Method
• 1. Readlines Method
• 1. Write Method
• 1. Writelines Method
• 1. With Statement
• 1. Context Managers
• 1. File Paths
• 1. CSV Files
• 1. JSON Files
• 1. File Exceptions
• 1. Text vs Binary Files

Error Handling (ERR)

Count: 15 concepts (3.8%)

Concepts:

• 1. Errors and Exceptions
• 1. Syntax Errors
• 1. Runtime Errors
• 1. Logic Errors
• 1. Exception Types
• 1. TypeError
• 1. ValueError
• 1. IndexError
• 1. KeyError
• 1. Try-Except Block
• 1. Multiple Except Blocks
• 1. Finally Block
• 1. Raising Exceptions
• 1. Custom Exceptions
• 1. Assertions

Recursion (REC)

Count: 8 concepts (2.0%)

Concepts:

• 1. Recursion
• 1. Base Case
• 1. Recursive Case
• 1. Recursive Call Stack
• 1. Stack Overflow
• 1. Recursion vs Iteration
• 1. Recursive Patterns
• 1. Memoization

Recommendations

• ✅ Good balance: Categories are reasonably distributed (spread: 18.0%)
• ✅ 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