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Visualization Coverage
34 of 201 concepts have interactive visualizations (17%)
Overall Coverage
17%
visualization quality rubric
61/182
passing all axes (34%)
Concept Fidelity
87%
avg: 78
Visual Clarity
48%
avg: 69
Animation Quality
89%
avg: 71
Interaction Design
95%
avg: 50
Pedagogical Scaffolding
79%
avg: 66
Performance
100%
avg: 82
by difficulty level
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8/15
53%
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14/39
36%
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5/60
8%
████░
5/56
9%
█████
2/31
6%
by category
Data Structures
5/10 (50%)
With visualization:
Linked Lists
3/6
Stacks
6/6
Queues
6/6
Hash Tables
4/6
Heaps
6/6
Needs visualization:
Arrays
Binary Search Trees
Balanced Trees
Disjoint Sets
Tries
Graph Theory
4/12 (33%)
With visualization:
Graphs Introduction
5/6
Graph Traversal
6/6
Binary Trees
4/6
Shortest Paths
6/6
Needs visualization:
Graph Representations
Trees
Minimum Spanning Trees
Topological Sort
Strongly Connected Components
Network Flow
Graph Coloring
Spectral Graph Theory
Algorithms
4/18 (22%)
With visualization:
Big O Notation
4/6
Basic Sorting
6/6
Binary Search
5/6
Recursion
6/6
Needs visualization:
What is an Algorithm
Divide and Conquer
Dynamic Programming
Greedy Algorithms
Amortized Analysis
Complexity Classes
NP-Completeness
Approximation Algorithms
Randomized Algorithms
Online Algorithms
Automatic Differentiation
Numerical Stability and Conditioning
Computational Complexity Theory
Information-Theoretic Bounds
Linear Algebra
4/19 (21%)
With visualization:
Vectors Introduction
5/6
Matrix Operations
4/6
Dot Product
6/6
Convolution Operation
6/6
Needs visualization:
Systems of Linear Equations
Vector Spaces
Linear Independence
Basis and Dimension
Norms
Determinants
Eigenvalues and Eigenvectors
Matrix Decomposition
Orthogonality
Projections
Cosine Similarity
Affine Transformations (Linear Layers)
Singular Value Decomposition
Principal Component Analysis
Matrix Calculus
Probability & Statistics
5/32 (16%)
With visualization:
Basic Probability
4/6
Mean, Median, Mode
6/6
Bayes Theorem
6/6
Markov Chains
5/6
Softmax Function
5/6
Needs visualization:
Conditional Probability
Independence
Random Variables
Expected Value
Variance
Common Distributions
Joint Distributions
Covariance and Correlation
Law of Large Numbers
Central Limit Theorem
Maximum Likelihood Estimation
Hypothesis Testing
Confidence Intervals
Time Series Foundations
Bayesian Inference
Monte Carlo Methods
MCMC
Curse of Dimensionality
Conjugate Priors
Bayesian Decision Theory
Stochastic Processes
State-Space Models
Causal Inference
Measure Theory
Concentration Inequalities
Hierarchical Bayesian Models
Bayesian Forecasting
Machine Learning
6/37 (16%)
With visualization:
Neural Networks
3/6
Backpropagation
6/6
Loss Functions
5/6
Attention Mechanisms
6/6
Transformers
6/6
Vector Embeddings
6/6
Needs visualization:
Machine Learning Introduction
Linear Regression
Logistic Regression
Activation Functions
Computational Graphs
Positional Encoding
Token Embeddings
Softmax and Logits
Residual (Skip) Connections
Regularization
Bias-Variance Tradeoff
Cross-Validation
Decision Trees
Ensemble Methods
Support Vector Machines
Kernel Methods
Clustering
Dimensionality Reduction
Layer Normalization
Reinforcement Learning Introduction
Sequence-to-Sequence Modeling
Embeddings (Dense Representations)
Sequence Masking (causal and padding masks)
Deep Learning
Markov Decision Processes
Policy Gradient Methods
RLHF
Variational Autoencoders
Generative Adversarial Networks
Diffusion Models
Meta-Learning
Discrete Math
2/14 (14%)
With visualization:
Sets
6/6
Boolean Logic
6/6
Needs visualization:
Counting Principles
Functions
Sequences
Proof Techniques
Permutations
Combinations
Relations
Equivalence Relations
Modular Arithmetic
Recurrence Relations
Generating Functions
Pigeonhole Principle
Information Theory
1/7 (14%)
With visualization:
Entropy
6/6
Needs visualization:
Mutual Information
KL Divergence
Cross-Entropy
Information Bottleneck
Rate-Distortion Theory
Channel Capacity
Calculus
2/15 (13%)
With visualization:
Coordinate Systems
5/6
Derivatives
6/6
Needs visualization:
Slope and Rate of Change
Linear Equations
Limits
Continuity
Derivative Rules
Integrals
Fundamental Theorem of Calculus
Multivariable Calculus
Gradients
Multivariable Chain Rule
Taylor Series
Multiple Integrals
Jacobian
Optimization
1/12 (8%)
With visualization:
Gradient Descent
3/6
Needs visualization:
Optimization Introduction
Convex Functions
Convex Optimization
Lagrange Multipliers
KKT Conditions
Linear Programming
Stochastic Gradient Descent
Bayesian Optimization
Conjugate Gradient Methods
Second-Order Optimization
Lagrangian Duality
Game Theory
0/12 (0%)
Needs visualization:
Game Theory Introduction
Nash Equilibrium
Zero-Sum Games
Mechanism Design
Mixed Strategies
Bayesian Games
Repeated Games
Oligopoly Models
Auction Theory
Cooperative Games
Dynamic Games
Signaling Games
Formal Methods
0/2 (0%)
Needs visualization:
Propositional Logic
Predicate Logic
Software Engineering
0/1 (0%)
Needs visualization:
Task Discretization
Applied Economics
0/10 (0%)
Needs visualization:
Utility Theory
Demand Functions
Price Elasticity
Consumer Surplus
Cost Functions
Profit Maximization
Price Discrimination
Revenue Management
Dynamic Pricing
Competitive Pricing
Quality Badge Legend
6/6
All axes pass
4/6
Most axes pass
2/6
Needs improvement
Axes: Concept Fidelity, Visual Clarity, Animation, Interaction, Pedagogy, Performance
Coverage generated: 3/12/2026, 4:15:13 AM
Quality rubric version: 2.0.0