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/* ================================================================
Feature Engineering Explorer — Core JS Logic
================================================================ */
/***** ---------- 1. DATA ------------------------------------------------ */
const datasets = {
missingAge: [25, null, 30, 35, null, 40, 45],
studentHeights: [150, 155, 160, 165, 170, 175, 180, 185, 260],
colors: ['Red', 'Green', 'Blue', 'Red', 'Green', 'Yellow'],
houseData: {
sqft: [900, 1000, 1200, 1500, 1800, 2000],
bedrooms: [2, 2, 3, 3, 4, 4]
}
};
/***** ---------- 2. NAVIGATION & ACTIVE LINK --------------------------- */
const navLinks = document.querySelectorAll('.nav__link');
navLinks.forEach((link) => {
link.addEventListener('click', () => {
document.querySelector('.nav__link.active')?.classList.remove('active');
link.classList.add('active');
});
});
// Highlight section in view
const observer = new IntersectionObserver(
(entries) => {
entries.forEach((entry) => {
if (entry.isIntersecting) {
const id = entry.target.id;
document.querySelector('.nav__link.active')?.classList.remove('active');
document
.querySelector(`.nav__link[href="#${id}"]`)
.classList.add('active');
}
});
},
{ rootMargin: '-40% 0px -55% 0px' }
);
document.querySelectorAll('.topic-section').forEach((sec) => observer.observe(sec));
/***** ---------- 3. CANVAS HELPERS ------------------------------------ */
function clearCanvas(ctx) {
ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height);
}
function drawBar(ctx, x, y, w, h, color) {
ctx.fillStyle = color;
ctx.fillRect(x, y, w, h);
}
function drawAxis(ctx) {
ctx.strokeStyle = 'rgba(255,255,255,0.2)';
ctx.lineWidth = 1;
ctx.beginPath();
ctx.moveTo(40, 10);
ctx.lineTo(40, ctx.canvas.height - 30);
ctx.lineTo(ctx.canvas.width - 10, ctx.canvas.height - 30);
ctx.stroke();
}
/***** ---------- 4. INTRO CANVAS -------------------------------------- */
(function introVis() {
const c = document.getElementById('canvas-intro');
if (!c) return;
const ctx = c.getContext('2d');
function draw() {
clearCanvas(ctx);
const steps = [
'Raw Data',
'Cleaning',
'Feature Engineering',
'Model',
'Prediction'
];
const boxW = 110,
boxH = 40,
gap = 20,
startX = 30,
y = 100;
ctx.font = '14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.textBaseline = 'middle';
steps.forEach((step, i) => {
const x = startX + i * (boxW + gap);
// box
ctx.fillStyle = i === 2 ? '#00d4ff' : '#252a47';
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 2;
ctx.fillRect(x, y, boxW, boxH);
ctx.strokeRect(x, y, boxW, boxH);
// text
ctx.fillStyle = '#e0e6ed';
ctx.fillText(step, x + boxW / 2, y + boxH / 2);
// arrow
if (i < steps.length - 1) {
ctx.strokeStyle = '#e0e6ed';
ctx.beginPath();
ctx.moveTo(x + boxW, y + boxH / 2);
ctx.lineTo(x + boxW + gap - 10, y + boxH / 2);
ctx.lineTo(x + boxW + gap - 14, y + boxH / 2 - 4);
ctx.moveTo(x + boxW + gap - 10, y + boxH / 2);
ctx.lineTo(x + boxW + gap - 14, y + boxH / 2 + 4);
ctx.stroke();
}
});
}
draw();
})();
/***** ---------- 14. NUMPY INTRO CANVAS ------------------------------ */
(function numpyIntroVis() {
const c = document.getElementById('canvas-numpy-intro');
if (!c) return;
const ctx = c.getContext('2d');
function draw(mode) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
let title = '';
if (mode === 'basic') title = 'Basic Array Creation: np.array([1, 2, 3, 4, 5])';
else if (mode === 'zeros') title = 'Special Arrays: zeros and ones';
else if (mode === 'random') title = 'Random Array: np.random.rand(3, 3)';
ctx.fillText(title, 40, 30);
if (mode === 'basic') {
// 1D array visualization
const arr = [1, 2, 3, 4, 5];
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('1D Array:', 50, 70);
arr.forEach((val, i) => {
const x = 50 + i * 60;
const y = 90;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(x, y, 50, 50);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 50, 50);
ctx.fillStyle = '#000';
ctx.font = 'bold 18px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 25, y + 32);
});
ctx.textAlign = 'left';
// 2D array visualization
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('2D Array (3x4):', 50, 180);
const arr2d = [[1,2,3,4], [5,6,7,8], [9,10,11,12]];
arr2d.forEach((row, i) => {
row.forEach((val, j) => {
const x = 50 + j * 50;
const y = 200 + i * 50;
ctx.fillStyle = '#00ffff';
ctx.fillRect(x, y, 45, 45);
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 45, 45);
ctx.fillStyle = '#000';
ctx.font = 'bold 14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 22, y + 28);
});
});
ctx.textAlign = 'left';
} else if (mode === 'zeros') {
// Zeros array
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('np.zeros((3, 4)):', 50, 70);
for (let i = 0; i < 3; i++) {
for (let j = 0; j < 4; j++) {
const x = 50 + j * 50;
const y = 90 + i * 50;
ctx.fillStyle = '#555';
ctx.fillRect(x, y, 45, 45);
ctx.strokeStyle = '#888';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 45, 45);
ctx.fillStyle = '#e0e6ed';
ctx.font = 'bold 16px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText('0', x + 22, y + 28);
}
}
ctx.textAlign = 'left';
// Ones array
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('np.ones((2, 5)):', 360, 70);
for (let i = 0; i < 2; i++) {
for (let j = 0; j < 5; j++) {
const x = 360 + j * 50;
const y = 90 + i * 50;
ctx.fillStyle = '#ff6b35';
ctx.fillRect(x, y, 45, 45);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 45, 45);
ctx.fillStyle = '#000';
ctx.font = 'bold 16px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText('1', x + 22, y + 28);
}
}
ctx.textAlign = 'left';
} else if (mode === 'random') {
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Random values [0, 1):', 50, 70);
const random = Array.from({length: 3}, () =>
Array.from({length: 3}, () => Math.random())
);
random.forEach((row, i) => {
row.forEach((val, j) => {
const x = 50 + j * 80;
const y = 90 + i * 80;
const intensity = val;
ctx.fillStyle = `rgba(0, 212, 255, ${intensity})`;
ctx.fillRect(x, y, 75, 75);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 75, 75);
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val.toFixed(2), x + 37, y + 42);
});
});
ctx.textAlign = 'left';
}
// Info
ctx.fillStyle = '#00ffff';
ctx.font = '12px Inter, sans-serif';
ctx.fillText('Shape: Array dimensions (rows, columns)', 350, 270);
ctx.fillText('dtype: Data type (int32, float64, etc.)', 350, 290);
ctx.fillText('ndim: Number of dimensions', 350, 310);
}
const btnCreate = document.getElementById('btn-create-array');
const btnZeros = document.getElementById('btn-zeros-ones');
const btnRandom = document.getElementById('btn-random-array');
if (btnCreate) btnCreate.addEventListener('click', () => draw('basic'));
if (btnZeros) btnZeros.addEventListener('click', () => draw('zeros'));
if (btnRandom) btnRandom.addEventListener('click', () => draw('random'));
draw('basic');
})();
/***** ---------- 15. NUMPY OPERATIONS CANVAS ------------------------- */
(function numpyOpsVis() {
const c = document.getElementById('canvas-numpy-operations');
if (!c) return;
const ctx = c.getContext('2d');
const a = [1, 2, 3, 4];
const b = [5, 6, 7, 8];
function draw(operation) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
let title = '';
let result = [];
if (operation === 'add') {
title = 'Element-wise Addition: a + b';
result = a.map((v, i) => v + b[i]);
} else if (operation === 'mult') {
title = 'Element-wise Multiplication: a * b';
result = a.map((v, i) => v * b[i]);
} else if (operation === 'broadcast') {
title = 'Broadcasting: [1, 2, 3] + 10 = [11, 12, 13]';
} else if (operation === 'dot') {
title = 'Dot Product: np.dot(A, B) - Matrix Multiplication';
}
ctx.fillText(title, 40, 30);
if (operation !== 'broadcast' && operation !== 'dot') {
// Array A
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Array A:', 50, 70);
a.forEach((val, i) => {
const x = 50 + i * 60;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(x, 90, 50, 50);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, 90, 50, 50);
ctx.fillStyle = '#000';
ctx.font = 'bold 18px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 25, 90 + 32);
});
ctx.textAlign = 'left';
// Operator
ctx.fillStyle = '#ff6b35';
ctx.font = '24px Inter, sans-serif';
const op = operation === 'add' ? '+' : '×';
ctx.fillText(op, 310, 120);
// Array B
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Array B:', 50, 180);
b.forEach((val, i) => {
const x = 50 + i * 60;
ctx.fillStyle = '#00ffff';
ctx.fillRect(x, 200, 50, 50);
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 2;
ctx.strokeRect(x, 200, 50, 50);
ctx.fillStyle = '#000';
ctx.font = 'bold 18px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 25, 200 + 32);
});
ctx.textAlign = 'left';
// Equals
ctx.fillStyle = '#e0e6ed';
ctx.font = '24px Inter, sans-serif';
ctx.fillText('=', 310, 290);
// Result
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Result:', 50, 310);
result.forEach((val, i) => {
const x = 50 + i * 60;
ctx.fillStyle = '#00ff88';
ctx.fillRect(x, 330, 50, 50);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, 330, 50, 50);
ctx.fillStyle = '#000';
ctx.font = 'bold 18px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 25, 330 + 32);
});
ctx.textAlign = 'left';
} else if (operation === 'broadcast') {
// Broadcasting visualization
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Array [1, 2, 3]:', 50, 80);
[1, 2, 3].forEach((val, i) => {
const x = 50 + i * 70;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(x, 100, 60, 50);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, 100, 60, 50);
ctx.fillStyle = '#000';
ctx.font = 'bold 18px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 30, 100 + 32);
});
ctx.textAlign = 'left';
ctx.fillStyle = '#ff6b35';
ctx.font = '24px Inter, sans-serif';
ctx.fillText('+', 280, 130);
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Scalar 10 (broadcasted):', 330, 80);
[10, 10, 10].forEach((val, i) => {
const x = 330 + i * 70;
ctx.fillStyle = 'rgba(255, 107, 53, 0.5)';
ctx.fillRect(x, 100, 60, 50);
ctx.strokeStyle = '#ff6b35';
ctx.lineWidth = 2;
ctx.setLineDash([5, 5]);
ctx.strokeRect(x, 100, 60, 50);
ctx.setLineDash([]);
ctx.fillStyle = '#e0e6ed';
ctx.font = 'bold 18px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 30, 100 + 32);
});
ctx.textAlign = 'left';
ctx.fillStyle = '#e0e6ed';
ctx.font = '24px Inter, sans-serif';
ctx.fillText('=', 320, 220);
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Result [11, 12, 13]:', 50, 250);
[11, 12, 13].forEach((val, i) => {
const x = 50 + i * 70;
ctx.fillStyle = '#00ff88';
ctx.fillRect(x, 270, 60, 50);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, 270, 60, 50);
ctx.fillStyle = '#000';
ctx.font = 'bold 18px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 30, 270 + 32);
});
ctx.textAlign = 'left';
} else if (operation === 'dot') {
// Matrix multiplication
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Matrix A (2x2):', 50, 70);
const matA = [[1, 2], [3, 4]];
matA.forEach((row, i) => {
row.forEach((val, j) => {
const x = 50 + j * 60;
const y = 90 + i * 60;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(x, y, 55, 55);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 55, 55);
ctx.fillStyle = '#000';
ctx.font = 'bold 18px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 27, y + 35);
});
});
ctx.textAlign = 'left';
ctx.fillStyle = '#ff6b35';
ctx.font = '24px Inter, sans-serif';
ctx.fillText('@', 200, 130);
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Matrix B (2x2):', 250, 70);
const matB = [[5, 6], [7, 8]];
matB.forEach((row, i) => {
row.forEach((val, j) => {
const x = 250 + j * 60;
const y = 90 + i * 60;
ctx.fillStyle = '#00ffff';
ctx.fillRect(x, y, 55, 55);
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 55, 55);
ctx.fillStyle = '#000';
ctx.font = 'bold 18px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 27, y + 35);
});
});
ctx.textAlign = 'left';
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Result (2x2):', 450, 70);
const result = [[19, 22], [43, 50]];
result.forEach((row, i) => {
row.forEach((val, j) => {
const x = 450 + j * 60;
const y = 90 + i * 60;
ctx.fillStyle = '#00ff88';
ctx.fillRect(x, y, 55, 55);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 55, 55);
ctx.fillStyle = '#000';
ctx.font = 'bold 16px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 27, y + 35);
});
});
ctx.textAlign = 'left';
// Formula
ctx.fillStyle = '#00ffff';
ctx.font = '12px Inter, sans-serif';
ctx.fillText('C[i,j] = Σ A[i,k] × B[k,j]', 50, 250);
ctx.fillText('Example: C[0,0] = 1×5 + 2×7 = 19', 50, 270);
}
}
const btnAdd = document.getElementById('btn-addition');
const btnMult = document.getElementById('btn-multiplication');
const btnBroadcast = document.getElementById('btn-broadcasting');
const btnDot = document.getElementById('btn-dot-product');
if (btnAdd) btnAdd.addEventListener('click', () => draw('add'));
if (btnMult) btnMult.addEventListener('click', () => draw('mult'));
if (btnBroadcast) btnBroadcast.addEventListener('click', () => draw('broadcast'));
if (btnDot) btnDot.addEventListener('click', () => draw('dot'));
draw('add');
})();
/***** ---------- 16. NUMPY INDEXING CANVAS --------------------------- */
(function numpyIndexVis() {
const c = document.getElementById('canvas-numpy-indexing');
if (!c) return;
const ctx = c.getContext('2d');
const matrix = [
[1, 2, 3, 4, 5],
[6, 7, 8, 9, 10],
[11, 12, 13, 14, 15],
[16, 17, 18, 19, 20],
[21, 22, 23, 24, 25]
];
function draw(method) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
let title = '';
let selectedCells = [];
if (method === 'basic') {
title = 'Basic Indexing: arr[2, 3] = 14';
selectedCells = [[2, 3]];
} else if (method === 'slice') {
title = 'Slicing: arr[1:3, 2:4] - rows 1-2, cols 2-3';
selectedCells = [[1,2], [1,3], [2,2], [2,3]];
} else if (method === 'boolean') {
title = 'Boolean Mask: arr[arr > 15]';
matrix.forEach((row, i) => {
row.forEach((val, j) => {
if (val > 15) selectedCells.push([i, j]);
});
});
} else if (method === 'reshape') {
title = 'Reshape: (5,5) → (25,1) or (1,25)';
}
ctx.fillText(title, 40, 30);
if (method !== 'reshape') {
// Draw matrix
const cellSize = 50;
const startX = 80;
const startY = 70;
matrix.forEach((row, i) => {
row.forEach((val, j) => {
const x = startX + j * cellSize;
const y = startY + i * cellSize;
const isSelected = selectedCells.some(([si, sj]) => si === i && sj === j);
ctx.fillStyle = isSelected ? '#00ff88' : '#1a1d35';
ctx.fillRect(x, y, cellSize - 2, cellSize - 2);
ctx.strokeStyle = isSelected ? '#00ffff' : 'rgba(0, 212, 255, 0.3)';
ctx.lineWidth = isSelected ? 3 : 1;
ctx.strokeRect(x, y, cellSize - 2, cellSize - 2);
ctx.fillStyle = isSelected ? '#000' : '#e0e6ed';
ctx.font = isSelected ? 'bold 14px Inter, sans-serif' : '12px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + cellSize/2 - 1, y + cellSize/2 + 5);
});
});
ctx.textAlign = 'left';
// Index labels
ctx.fillStyle = '#a8b2c1';
ctx.font = '10px Inter, sans-serif';
for (let i = 0; i < 5; i++) {
ctx.fillText(i, startX + i * cellSize + 20, startY - 10);
ctx.fillText(i, startX - 20, startY + i * cellSize + 30);
}
// Selected values
if (selectedCells.length > 0 && selectedCells.length < 10) {
ctx.fillStyle = '#00ffff';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Selected values:', 420, 150);
selectedCells.forEach((cell, idx) => {
const val = matrix[cell[0]][cell[1]];
ctx.fillText(`[${cell[0]}, ${cell[1]}] = ${val}`, 420, 175 + idx * 20);
});
}
} else {
// Reshape visualization
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Original (5, 5):', 50, 70);
// Small matrix
for (let i = 0; i < 5; i++) {
for (let j = 0; j < 5; j++) {
const x = 50 + j * 35;
const y = 90 + i * 35;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(x, y, 32, 32);
ctx.strokeStyle = '#00ffff';
ctx.strokeRect(x, y, 32, 32);
}
}
// Arrow
ctx.fillStyle = '#ff6b35';
ctx.font = '20px Inter, sans-serif';
ctx.fillText('→', 250, 180);
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Flattened (25,):', 320, 70);
// Flattened array (horizontal)
for (let i = 0; i < 13; i++) {
const x = 320 + i * 25;
const y = 90;
ctx.fillStyle = '#00ffff';
ctx.fillRect(x, y, 22, 30);
ctx.strokeStyle = '#00d4ff';
ctx.strokeRect(x, y, 22, 30);
}
ctx.fillText('...', 650, 110);
}
}
const btnBasic = document.getElementById('btn-basic-index');
const btnSlice = document.getElementById('btn-slicing');
const btnBoolean = document.getElementById('btn-boolean-mask');
const btnReshape = document.getElementById('btn-reshape');
if (btnBasic) btnBasic.addEventListener('click', () => draw('basic'));
if (btnSlice) btnSlice.addEventListener('click', () => draw('slice'));
if (btnBoolean) btnBoolean.addEventListener('click', () => draw('boolean'));
if (btnReshape) btnReshape.addEventListener('click', () => draw('reshape'));
draw('basic');
})();
/***** ---------- 17. NUMPY MATH CANVAS ------------------------------- */
(function numpyMathVis() {
const c = document.getElementById('canvas-numpy-math');
if (!c) return;
const ctx = c.getContext('2d');
const data = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100];
const mean = data.reduce((a, b) => a + b) / data.length;
const std = Math.sqrt(data.map(x => (x - mean) ** 2).reduce((a, b) => a + b) / data.length);
function draw(mode) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
let title = '';
if (mode === 'stats') title = `Statistics: Mean=${mean.toFixed(1)}, Std=${std.toFixed(1)}`;
else if (mode === 'agg') title = 'Aggregation: Sum, Product, Cumsum';
else if (mode === 'percentile') title = 'Percentiles: 25th, 50th, 75th';
ctx.fillText(title, 40, 30);
if (mode === 'stats') {
// Histogram with mean and std
const bins = 5;
const binCounts = new Array(bins).fill(0);
const binWidth = 100 / bins;
data.forEach(val => {
const bin = Math.min(Math.floor(val / binWidth), bins - 1);
binCounts[bin]++;
});
const maxCount = Math.max(...binCounts);
const barWidth = 80;
const startX = 80;
const startY = 300;
binCounts.forEach((count, i) => {
const h = (count / maxCount) * 180;
const x = startX + i * (barWidth + 10);
const y = startY - h;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(x, y, barWidth, h);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, barWidth, h);
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(`${i * binWidth}-${(i + 1) * binWidth}`, x + barWidth/2, startY + 20);
});
ctx.textAlign = 'left';
// Mean line
const meanX = startX + (mean / 100) * (barWidth * bins + 10 * (bins - 1));
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 3;
ctx.beginPath();
ctx.moveTo(meanX, 100);
ctx.lineTo(meanX, startY);
ctx.stroke();
ctx.fillStyle = '#00ffff';
ctx.font = '12px Inter, sans-serif';
ctx.fillText('Mean', meanX + 5, 95);
// Std deviation shading
const stdLeftX = startX + ((mean - std) / 100) * (barWidth * bins + 10 * (bins - 1));
const stdRightX = startX + ((mean + std) / 100) * (barWidth * bins + 10 * (bins - 1));
ctx.fillStyle = 'rgba(0, 255, 255, 0.1)';
ctx.fillRect(stdLeftX, 100, stdRightX - stdLeftX, startY - 100);
// Stats text
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.fillText(`n = ${data.length}`, 520, 150);
ctx.fillText(`Mean (μ) = ${mean.toFixed(2)}`, 520, 170);
ctx.fillText(`Median = ${data[Math.floor(data.length/2)]}`, 520, 190);
ctx.fillText(`Std (σ) = ${std.toFixed(2)}`, 520, 210);
ctx.fillText(`Min = ${Math.min(...data)}`, 520, 230);
ctx.fillText(`Max = ${Math.max(...data)}`, 520, 250);
} else if (mode === 'agg') {
// Aggregation visualization
const sum = data.reduce((a, b) => a + b);
const product = data.slice(0, 3).reduce((a, b) => a * b);
const cumsum = [];
data.slice(0, 5).reduce((acc, val) => {
const s = acc + val;
cumsum.push(s);
return s;
}, 0);
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Original Array:', 50, 70);
data.slice(0, 5).forEach((val, i) => {
const x = 50 + i * 60;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(x, 90, 50, 50);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, 90, 50, 50);
ctx.fillStyle = '#000';
ctx.font = 'bold 14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 25, 90 + 32);
});
ctx.textAlign = 'left';
ctx.fillText('...', 360, 120);
// Sum
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText(`np.sum() = ${sum}`, 50, 180);
ctx.fillStyle = '#00ffff';
ctx.fillRect(50, 190, 150, 40);
ctx.fillStyle = '#000';
ctx.font = 'bold 18px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(sum, 125, 215);
ctx.textAlign = 'left';
// Cumsum
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('np.cumsum() (first 5):', 50, 260);
cumsum.forEach((val, i) => {
const x = 50 + i * 70;
ctx.fillStyle = '#00ff88';
ctx.fillRect(x, 280, 60, 50);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, 280, 60, 50);
ctx.fillStyle = '#000';
ctx.font = 'bold 14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 30, 280 + 32);
});
ctx.textAlign = 'left';
} else if (mode === 'percentile') {
// Box plot with percentiles
const sorted = [...data].sort((a, b) => a - b);
const p25 = sorted[Math.floor(sorted.length * 0.25)];
const p50 = sorted[Math.floor(sorted.length * 0.50)];
const p75 = sorted[Math.floor(sorted.length * 0.75)];
const scale = 5;
const offsetX = 50;
const centerY = 200;
// Draw axis
ctx.strokeStyle = 'rgba(255, 255, 255, 0.2)';
ctx.lineWidth = 1;
ctx.beginPath();
ctx.moveTo(offsetX, centerY);
ctx.lineTo(offsetX + 600, centerY);
ctx.stroke();
// Tick marks
for (let i = 0; i <= 100; i += 20) {
const x = offsetX + i * scale;
ctx.beginPath();
ctx.moveTo(x, centerY - 5);
ctx.lineTo(x, centerY + 5);
ctx.stroke();
ctx.fillStyle = '#a8b2c1';
ctx.font = '10px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(i, x, centerY + 20);
}
ctx.textAlign = 'left';
// Box
const boxHeight = 60;
const p25X = offsetX + p25 * scale;
const p50X = offsetX + p50 * scale;
const p75X = offsetX + p75 * scale;
const minX = offsetX + sorted[0] * scale;
const maxX = offsetX + sorted[sorted.length - 1] * scale;
// Whiskers
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 2;
ctx.beginPath();
ctx.moveTo(minX, centerY);
ctx.lineTo(p25X, centerY);
ctx.moveTo(p75X, centerY);
ctx.lineTo(maxX, centerY);
ctx.stroke();
// Box
ctx.fillStyle = 'rgba(0, 212, 255, 0.3)';
ctx.fillRect(p25X, centerY - boxHeight/2, p75X - p25X, boxHeight);
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 3;
ctx.strokeRect(p25X, centerY - boxHeight/2, p75X - p25X, boxHeight);
// Median line
ctx.strokeStyle = '#ff6b35';
ctx.lineWidth = 3;
ctx.beginPath();
ctx.moveTo(p50X, centerY - boxHeight/2);
ctx.lineTo(p50X, centerY + boxHeight/2);
ctx.stroke();
// Labels
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText('Min', minX, centerY - 45);
ctx.fillText(`P25\n${p25}`, p25X, centerY - 45);
ctx.fillStyle = '#ff6b35';
ctx.fillText(`P50\n${p50}`, p50X, centerY - 45);
ctx.fillStyle = '#e0e6ed';
ctx.fillText(`P75\n${p75}`, p75X, centerY - 45);
ctx.fillText('Max', maxX, centerY - 45);
ctx.textAlign = 'left';
// IQR
ctx.fillStyle = '#00ffff';
ctx.font = '12px Inter, sans-serif';
ctx.fillText(`IQR (P75 - P25) = ${p75 - p25}`, 50, 300);
}
}
const btnStats = document.getElementById('btn-stats');
const btnAgg = document.getElementById('btn-aggregation');
const btnPercentiles = document.getElementById('btn-percentiles');
if (btnStats) btnStats.addEventListener('click', () => draw('stats'));
if (btnAgg) btnAgg.addEventListener('click', () => draw('agg'));
if (btnPercentiles) btnPercentiles.addEventListener('click', () => draw('percentile'));
draw('stats');
})();
/***** ---------- 18. PANDAS INTRO CANVAS ----------------------------- */
(function pandasIntroVis() {
const c = document.getElementById('canvas-pandas-intro');
if (!c) return;
const ctx = c.getContext('2d');
const dfData = {
Name: ['Alice', 'Bob', 'Charlie', 'Diana', 'Eve'],
Age: [25, 30, 35, 28, 42],
Salary: [50000, 60000, 70000, 55000, 80000],
City: ['NY', 'LA', 'NY', 'SF', 'LA']
};
function draw(mode) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
let title = '';
if (mode === 'create') title = 'DataFrame: Structured table with labeled rows and columns';
else if (mode === 'info') title = 'df.info(): Data types and non-null counts';
else if (mode === 'describe') title = 'df.describe(): Summary statistics';
ctx.fillText(title, 40, 30);
if (mode === 'create') {
// Draw DataFrame as table
const colNames = Object.keys(dfData);
const numRows = dfData.Name.length;
const cellWidth = 100;
const cellHeight = 40;
const startX = 80;
const startY = 70;
// Header
ctx.fillStyle = '#00d4ff';
ctx.fillRect(startX - 50, startY, 50, cellHeight);
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText('Index', startX - 25, startY + 25);
colNames.forEach((col, i) => {
const x = startX + i * cellWidth;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(x, startY, cellWidth - 2, cellHeight);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, startY, cellWidth - 2, cellHeight);
ctx.fillStyle = '#000';
ctx.font = 'bold 12px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(col, x + cellWidth/2, startY + 25);
});
// Data rows
for (let row = 0; row < numRows; row++) {
const y = startY + (row + 1) * cellHeight;
// Index
ctx.fillStyle = '#555';
ctx.fillRect(startX - 50, y, 50, cellHeight);
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(row, startX - 25, y + 25);
// Data cells
colNames.forEach((col, colIdx) => {
const x = startX + colIdx * cellWidth;
ctx.fillStyle = row % 2 === 0 ? '#1e2139' : '#252a47';
ctx.fillRect(x, y, cellWidth - 2, cellHeight);
ctx.strokeStyle = 'rgba(0, 212, 255, 0.2)';
ctx.lineWidth = 1;
ctx.strokeRect(x, y, cellWidth - 2, cellHeight);
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(String(dfData[col][row]), x + cellWidth/2, y + 25);
});
}
ctx.textAlign = 'left';
} else if (mode === 'info') {
// Show info
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px monospace';
ctx.fillText('<class \'pandas.core.frame.DataFrame\'>', 50, 80);
ctx.fillText('RangeIndex: 5 entries, 0 to 4', 50, 100);
ctx.fillText('Data columns (total 4 columns):', 50, 120);
ctx.fillText(' # Column Non-Null Count Dtype', 50, 140);
ctx.fillText('--- ------ -------------- -----', 50, 155);
ctx.fillStyle = '#00d4ff';
ctx.fillText(' 0 Name 5 non-null object', 50, 175);
ctx.fillText(' 1 Age 5 non-null int64', 50, 195);
ctx.fillText(' 2 Salary 5 non-null int64', 50, 215);
ctx.fillText(' 3 City 5 non-null object', 50, 235);
ctx.fillStyle = '#e0e6ed';
ctx.fillText('dtypes: int64(2), object(2)', 50, 260);
ctx.fillText('memory usage: 288.0+ bytes', 50, 280);
} else if (mode === 'describe') {
// Summary stats
const stats = {
Age: { mean: 32, std: 6.6, min: 25, '25%': 28, '50%': 30, '75%': 35, max: 42 },
Salary: { mean: 63000, std: 11547, min: 50000, '25%': 55000, '50%': 60000, '75%': 70000, max: 80000 }
};
const startX = 120;
const startY = 70;
const cellWidth = 100;
const cellHeight = 35;
// Header
ctx.fillStyle = '#00d4ff';
ctx.fillRect(startX - 80, startY, 80, cellHeight);
ctx.fillStyle = '#e0e6ed';
ctx.font = 'bold 11px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText('Statistic', startX - 40, startY + 22);
['Age', 'Salary'].forEach((col, i) => {
const x = startX + i * cellWidth;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(x, startY, cellWidth - 2, cellHeight);
ctx.fillStyle = '#000';
ctx.fillText(col, x + cellWidth/2, startY + 22);
});
// Stat rows
const statNames = ['mean', 'std', 'min', '25%', '50%', '75%', 'max'];
statNames.forEach((stat, rowIdx) => {
const y = startY + (rowIdx + 1) * cellHeight;
ctx.fillStyle = '#555';
ctx.fillRect(startX - 80, y, 80, cellHeight);
ctx.fillStyle = '#e0e6ed';
ctx.font = '11px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(stat, startX - 40, y + 22);
['Age', 'Salary'].forEach((col, colIdx) => {
const x = startX + colIdx * cellWidth;
ctx.fillStyle = rowIdx % 2 === 0 ? '#1e2139' : '#252a47';
ctx.fillRect(x, y, cellWidth - 2, cellHeight);
ctx.fillStyle = '#00ffff';
ctx.font = '11px Inter, sans-serif';
ctx.textAlign = 'center';
const val = stats[col][stat];
ctx.fillText(typeof val === 'number' ? val.toFixed(0) : val, x + cellWidth/2, y + 22);
});
});
ctx.textAlign = 'left';
}
}
const btnCreate = document.getElementById('btn-create-df');
const btnInfo = document.getElementById('btn-df-info');
const btnDescribe = document.getElementById('btn-df-describe');
if (btnCreate) btnCreate.addEventListener('click', () => draw('create'));
if (btnInfo) btnInfo.addEventListener('click', () => draw('info'));
if (btnDescribe) btnDescribe.addEventListener('click', () => draw('describe'));
draw('create');
})();
/***** ---------- 19-22. PANDAS/MATPLOTLIB/SEABORN CANVAS ------------- */
// Simplified visualizations for remaining topics
(function remainingVis() {
// Pandas Operations
const cPandas = document.getElementById('canvas-pandas-operations');
if (cPandas) {
const ctx = cPandas.getContext('2d');
function drawPandas(mode) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
if (mode === 'filter') ctx.fillText('Filter: df[df[\'Age\'] > 30] - Select rows where Age > 30', 40, 30);
else if (mode === 'sort') ctx.fillText('Sort: df.sort_values(\'Salary\', ascending=False)', 40, 30);
else if (mode === 'add') ctx.fillText('Add Column: df[\'Bonus\'] = df[\'Salary\'] * 0.1', 40, 30);
// Simple bar chart showing operation effect
const values = mode === 'filter' ? [35, 42] : mode === 'sort' ? [80000, 70000, 60000, 55000, 50000] : [5000, 6000, 7000, 5500, 8000];
const maxVal = Math.max(...values);
values.forEach((val, i) => {
const x = 80 + i * 80;
const h = (val / maxVal) * 250;
const y = 320 - h;
ctx.fillStyle = '#00ffff';
ctx.fillRect(x, y, 60, h);
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 60, h);
ctx.fillStyle = '#e0e6ed';
ctx.font = '11px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val, x + 30, y - 5);
});
ctx.textAlign = 'left';
}
const btnFilter = document.getElementById('btn-filter-df');
const btnSort = document.getElementById('btn-sort-df');
const btnAdd = document.getElementById('btn-add-column');
if (btnFilter) btnFilter.addEventListener('click', () => drawPandas('filter'));
if (btnSort) btnSort.addEventListener('click', () => drawPandas('sort'));
if (btnAdd) btnAdd.addEventListener('click', () => drawPandas('add'));
drawPandas('filter');
}
// Pandas Selection
const cSelection = document.getElementById('canvas-pandas-selection');
if (cSelection) {
const ctx = cSelection.getContext('2d');
function drawSelection(mode) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
if (mode === 'loc') ctx.fillText('.loc[1:3, [\'Name\', \'Age\']] - Label-based indexing', 40, 30);
else if (mode === 'iloc') ctx.fillText('.iloc[0:2, 0:2] - Position-based indexing', 40, 30);
else if (mode === 'query') ctx.fillText('.query(\'Age > 30 and City == "NY"\') - SQL-like queries', 40, 30);
// Grid showing selected cells
for (let i = 0; i < 4; i++) {
for (let j = 0; j < 3; j++) {
const x = 100 + j * 70;
const y = 100 + i * 60;
const selected = (mode === 'loc' && i > 0 && i < 4 && j < 2) ||
(mode === 'iloc' && i < 2 && j < 2) ||
(mode === 'query' && i === 2);
ctx.fillStyle = selected ? '#00ff88' : '#1e2139';
ctx.fillRect(x, y, 65, 55);
ctx.strokeStyle = selected ? '#00ffff' : 'rgba(255,255,255,0.1)';
ctx.lineWidth = selected ? 3 : 1;
ctx.strokeRect(x, y, 65, 55);
}
}
}
const btnLoc = document.getElementById('btn-loc');
const btnIloc = document.getElementById('btn-iloc');
const btnQuery = document.getElementById('btn-query');
if (btnLoc) btnLoc.addEventListener('click', () => drawSelection('loc'));
if (btnIloc) btnIloc.addEventListener('click', () => drawSelection('iloc'));
if (btnQuery) btnQuery.addEventListener('click', () => drawSelection('query'));
drawSelection('loc');
}
// Pandas GroupBy
const cGroupBy = document.getElementById('canvas-pandas-groupby');
if (cGroupBy) {
const ctx = cGroupBy.getContext('2d');
function drawGroupBy(mode) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
if (mode === 'mean') ctx.fillText('GroupBy Mean: df.groupby(\'Region\').mean()', 40, 30);
else if (mode === 'agg') ctx.fillText('Multiple Aggregations: .agg([\'sum\', \'mean\', \'count\'])', 40, 30);
else if (mode === 'pivot') ctx.fillText('Pivot Table: Cross-tabulation of data', 40, 30);
// Bar chart by groups
const groups = ['North', 'South', 'East', 'West'];
const values = mode === 'mean' ? [45000, 52000, 48000, 55000] :
mode === 'agg' ? [150000, 180000, 160000, 200000] :
[3, 4, 3, 5];
const maxVal = Math.max(...values);
groups.forEach((group, i) => {
const x = 80 + i * 120;
const h = (values[i] / maxVal) * 220;
const y = 300 - h;
ctx.fillStyle = ['#00d4ff', '#00ffff', '#ff6b35', '#00ff88'][i];
ctx.fillRect(x, y, 90, h);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 90, h);
ctx.fillStyle = '#e0e6ed';
ctx.font = '11px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(group, x + 45, 320);
ctx.fillText(values[i], x + 45, y - 5);
});
ctx.textAlign = 'left';
}
const btnMean = document.getElementById('btn-groupby-mean');
const btnAgg = document.getElementById('btn-groupby-agg');
const btnPivot = document.getElementById('btn-pivot');
if (btnMean) btnMean.addEventListener('click', () => drawGroupBy('mean'));
if (btnAgg) btnAgg.addEventListener('click', () => drawGroupBy('agg'));
if (btnPivot) btnPivot.addEventListener('click', () => drawGroupBy('pivot'));
drawGroupBy('mean');
}
// Matplotlib
const cMatplotlib = document.getElementById('canvas-matplotlib');
if (cMatplotlib) {
const ctx = cMatplotlib.getContext('2d');
function drawMatplotlib(mode) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
if (mode === 'line') ctx.fillText('Line Plot: plt.plot(x, y)', 40, 30);
else if (mode === 'scatter') ctx.fillText('Scatter Plot: plt.scatter(x, y)', 40, 30);
else if (mode === 'bar') ctx.fillText('Bar Chart: plt.bar(categories, values)', 40, 30);
else if (mode === 'hist') ctx.fillText('Histogram: plt.hist(data, bins=10)', 40, 30);
if (mode === 'line') {
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 3;
ctx.beginPath();
for (let i = 0; i <= 10; i++) {
const x = 50 + i * 60;
const y = 300 - i * 20;
if (i === 0) ctx.moveTo(x, y);
else ctx.lineTo(x, y);
ctx.fillStyle = '#00d4ff';
ctx.beginPath();
ctx.arc(x, y, 4, 0, Math.PI * 2);
ctx.fill();
ctx.beginPath();
ctx.moveTo(x, y);
}
ctx.stroke();
} else if (mode === 'scatter') {
for (let i = 0; i < 50; i++) {
const x = 50 + Math.random() * 600;
const y = 100 + Math.random() * 250;
const size = 3 + Math.random() * 5;
ctx.fillStyle = `rgba(0, 212, 255, ${0.5 + Math.random() * 0.5})`;
ctx.beginPath();
ctx.arc(x, y, size, 0, Math.PI * 2);
ctx.fill();
}
} else if (mode === 'bar') {
['A', 'B', 'C', 'D', 'E'].forEach((cat, i) => {
const x = 80 + i * 110;
const h = 50 + Math.random() * 200;
const y = 330 - h;
ctx.fillStyle = ['#00d4ff', '#00ffff', '#ff6b35', '#00ff88', '#ff6b35'][i];
ctx.fillRect(x, y, 80, h);
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(cat, x + 40, 355);
});
ctx.textAlign = 'left';
} else if (mode === 'hist') {
for (let i = 0; i < 10; i++) {
const x = 80 + i * 55;
const h = 100 + Math.random() * 150;
const y = 330 - h;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(x, y, 50, h);
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 50, h);
}
}
}
const btnLine = document.getElementById('btn-line-plot');
const btnScatter = document.getElementById('btn-scatter-plot');
const btnBar = document.getElementById('btn-bar-plot');
const btnHist = document.getElementById('btn-histogram');
if (btnLine) btnLine.addEventListener('click', () => drawMatplotlib('line'));
if (btnScatter) btnScatter.addEventListener('click', () => drawMatplotlib('scatter'));
if (btnBar) btnBar.addEventListener('click', () => drawMatplotlib('bar'));
if (btnHist) btnHist.addEventListener('click', () => drawMatplotlib('hist'));
drawMatplotlib('line');
}
// Seaborn
const cSeaborn = document.getElementById('canvas-seaborn');
if (cSeaborn) {
const ctx = cSeaborn.getContext('2d');
function drawSeaborn(mode) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
if (mode === 'dist') ctx.fillText('Distribution Plot: sns.histplot(data, kde=True)', 40, 30);
else if (mode === 'box') ctx.fillText('Box Plot: sns.boxplot(x="category", y="value")', 40, 30);
else if (mode === 'heat') ctx.fillText('Heatmap: sns.heatmap(correlation_matrix)', 40, 30);
if (mode === 'dist') {
// Histogram with KDE
for (let i = 0; i < 12; i++) {
const x = 80 + i * 50;
const h = Math.exp(-Math.pow(i - 6, 2) / 8) * 200;
const y = 300 - h;
ctx.fillStyle = 'rgba(0, 212, 255, 0.5)';
ctx.fillRect(x, y, 45, h);
}
// KDE curve
ctx.strokeStyle = '#ff6b35';
ctx.lineWidth = 3;
ctx.beginPath();
for (let i = 0; i <= 100; i++) {
const x = 80 + i * 6;
const norm = Math.exp(-Math.pow(i - 50, 2) / 200);
const y = 300 - norm * 200;
if (i === 0) ctx.moveTo(x, y);
else ctx.lineTo(x, y);
}
ctx.stroke();
} else if (mode === 'box') {
['Group A', 'Group B', 'Group C'].forEach((group, i) => {
const x = 120 + i * 180;
const centerY = 200;
const q1 = centerY + 40;
const q3 = centerY - 40;
const median = centerY;
const whiskerTop = centerY - 80;
const whiskerBottom = centerY + 80;
// Whiskers
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 2;
ctx.beginPath();
ctx.moveTo(x, whiskerTop);
ctx.lineTo(x, q3);
ctx.moveTo(x, q1);
ctx.lineTo(x, whiskerBottom);
ctx.stroke();
// Box
ctx.fillStyle = 'rgba(0, 212, 255, 0.3)';
ctx.fillRect(x - 40, q3, 80, q1 - q3);
ctx.strokeRect(x - 40, q3, 80, q1 - q3);
// Median
ctx.strokeStyle = '#ff6b35';
ctx.lineWidth = 3;
ctx.beginPath();
ctx.moveTo(x - 40, median);
ctx.lineTo(x + 40, median);
ctx.stroke();
ctx.fillStyle = '#e0e6ed';
ctx.font = '11px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(group, x, 320);
});
ctx.textAlign = 'left';
} else if (mode === 'heat') {
// Correlation heatmap
const corr = [
[1.0, 0.8, 0.3, 0.5],
[0.8, 1.0, 0.4, 0.6],
[0.3, 0.4, 1.0, 0.2],
[0.5, 0.6, 0.2, 1.0]
];
for (let i = 0; i < 4; i++) {
for (let j = 0; j < 4; j++) {
const x = 150 + j * 80;
const y = 80 + i * 80;
const val = corr[i][j];
ctx.fillStyle = `rgba(0, 212, 255, ${val})`;
ctx.fillRect(x, y, 75, 75);
ctx.fillStyle = val > 0.5 ? '#000' : '#e0e6ed';
ctx.font = 'bold 14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val.toFixed(1), x + 37, y + 42);
}
}
ctx.textAlign = 'left';
}
}
const btnDist = document.getElementById('btn-distplot');
const btnBox = document.getElementById('btn-boxplot');
const btnHeat = document.getElementById('btn-heatmap');
if (btnDist) btnDist.addEventListener('click', () => drawSeaborn('dist'));
if (btnBox) btnBox.addEventListener('click', () => drawSeaborn('box'));
if (btnHeat) btnHeat.addEventListener('click', () => drawSeaborn('heat'));
drawSeaborn('dist');
}
// Advanced Viz
const cAdvanced = document.getElementById('canvas-advanced-viz');
if (cAdvanced) {
const ctx = cAdvanced.getContext('2d');
function drawAdvanced(mode) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
if (mode === 'violin') ctx.fillText('Violin Plot: Combines box plot + KDE', 40, 30);
else if (mode === 'pair') ctx.fillText('Pair Plot: Matrix of scatter plots', 40, 30);
else if (mode === 'sub') ctx.fillText('Subplots: Multiple plots in grid', 40, 30);
if (mode === 'violin') {
for (let i = 0; i < 3; i++) {
const centerX = 150 + i * 180;
const centerY = 200;
ctx.fillStyle = 'rgba(0, 212, 255, 0.3)';
ctx.beginPath();
for (let y = -80; y <= 80; y += 2) {
const width = 30 * Math.exp(-Math.pow(y, 2) / 1000);
ctx.lineTo(centerX - width, centerY + y);
}
for (let y = 80; y >= -80; y -= 2) {
const width = 30 * Math.exp(-Math.pow(y, 2) / 1000);
ctx.lineTo(centerX + width, centerY + y);
}
ctx.closePath();
ctx.fill();
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 2;
ctx.stroke();
}
} else if (mode === 'pair') {
for (let i = 0; i < 3; i++) {
for (let j = 0; j < 3; j++) {
const x = 100 + j * 150;
const y = 80 + i * 100;
ctx.strokeStyle = 'rgba(255,255,255,0.2)';
ctx.strokeRect(x, y, 140, 90);
if (i !== j) {
for (let k = 0; k < 20; k++) {
const px = x + Math.random() * 140;
const py = y + Math.random() * 90;
ctx.fillStyle = '#00d4ff';
ctx.beginPath();
ctx.arc(px, py, 2, 0, Math.PI * 2);
ctx.fill();
}
}
}
}
} else if (mode === 'sub') {
for (let i = 0; i < 2; i++) {
for (let j = 0; j < 2; j++) {
const x = 80 + j * 280;
const y = 80 + i * 150;
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 2;
ctx.strokeRect(x, y, 260, 130);
// Simple line in each
ctx.strokeStyle = '#00ffff';
ctx.beginPath();
ctx.moveTo(x + 10, y + 100);
ctx.lineTo(x + 250, y + 30);
ctx.stroke();
}
}
}
}
const btnViolin = document.getElementById('btn-violin');
const btnPair = document.getElementById('btn-pairplot');
const btnSub = document.getElementById('btn-subplots');
if (btnViolin) btnViolin.addEventListener('click', () => drawAdvanced('violin'));
if (btnPair) btnPair.addEventListener('click', () => drawAdvanced('pair'));
if (btnSub) btnSub.addEventListener('click', () => drawAdvanced('sub'));
drawAdvanced('violin');
}
// Custom Plots
const cCustom = document.getElementById('canvas-custom-plots');
if (cCustom) {
const ctx = cCustom.getContext('2d');
function drawCustom(mode) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
if (mode === 'colors') ctx.fillText('Custom Colors: Color palettes for branding', 40, 30);
else if (mode === 'annot') ctx.fillText('Annotations: Add text, arrows, highlights', 40, 30);
else if (mode === 'theme') ctx.fillText('Themes: Consistent styling across plots', 40, 30);
// Simple demonstration
const colors = mode === 'colors' ? ['#00d4ff', '#00ffff', '#ff6b35', '#00ff88', '#ff6b35'] :
mode === 'annot' ? ['#00d4ff', '#00d4ff', '#00d4ff', '#ff6b35', '#00d4ff'] :
['#333', '#444', '#555', '#666', '#777'];
for (let i = 0; i < 5; i++) {
const x = 100 + i * 100;
const h = 100 + Math.random() * 150;
const y = 300 - h;
ctx.fillStyle = colors[i];
ctx.fillRect(x, y, 70, h);
if (mode === 'annot' && i === 3) {
ctx.fillStyle = '#ff6b35';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Peak!', x + 10, y - 10);
ctx.strokeStyle = '#ff6b35';
ctx.lineWidth = 2;
ctx.beginPath();
ctx.moveTo(x + 35, y - 5);
ctx.lineTo(x + 35, y);
ctx.stroke();
}
}
}
const btnColors = document.getElementById('btn-colors');
const btnAnnot = document.getElementById('btn-annotations');
const btnTheme = document.getElementById('btn-themes');
if (btnColors) btnColors.addEventListener('click', () => drawCustom('colors'));
if (btnAnnot) btnAnnot.addEventListener('click', () => drawCustom('annot'));
if (btnTheme) btnTheme.addEventListener('click', () => drawCustom('theme'));
drawCustom('colors');
}
// Plotly Basics
const cPlotly = document.getElementById('canvas-plotly-basics');
if (cPlotly) {
const ctx = cPlotly.getContext('2d');
function drawPlotly(mode) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
if (mode === 'line') ctx.fillText('Interactive Line: Hover for values, zoom, pan', 40, 30);
else if (mode === '3d') ctx.fillText('3D Scatter: Rotate and explore in 3D space', 40, 30);
else if (mode === 'anim') ctx.fillText('Animated Bar: Play button controls animation', 40, 30);
// Simulate interactivity
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.fillText('(Interactive in real Plotly - hover, zoom, pan enabled)', 50, 60);
if (mode === 'line') {
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 3;
ctx.beginPath();
for (let i = 0; i <= 20; i++) {
const x = 50 + i * 30;
const y = 200 + Math.sin(i * 0.5) * 80;
if (i === 0) ctx.moveTo(x, y);
else ctx.lineTo(x, y);
}
ctx.stroke();
// Hover tooltip simulation
ctx.fillStyle = 'rgba(0, 0, 0, 0.8)';
ctx.fillRect(200, 120, 100, 50);
ctx.fillStyle = '#00ffff';
ctx.font = '11px Inter, sans-serif';
ctx.fillText('x: 5', 210, 140);
ctx.fillText('y: 82.5', 210, 155);
} else if (mode === '3d') {
// Pseudo-3D scatter
for (let i = 0; i < 50; i++) {
const x = 100 + Math.random() * 500;
const y = 100 + Math.random() * 250;
const z = Math.random();
const size = 3 + z * 8;
ctx.fillStyle = `rgba(0, 212, 255, ${0.3 + z * 0.7})`;
ctx.beginPath();
ctx.arc(x, y, size, 0, Math.PI * 2);
ctx.fill();
}
} else if (mode === 'anim') {
// Animated bars
for (let i = 0; i < 6; i++) {
const x = 80 + i * 90;
const h = 50 + i * 30;
const y = 320 - h;
ctx.fillStyle = `rgba(0, 212, 255, ${0.5 + i * 0.1})`;
ctx.fillRect(x, y, 70, h);
}
// Play button
ctx.fillStyle = '#00ffff';
ctx.beginPath();
ctx.moveTo(620, 300);
ctx.lineTo(620, 340);
ctx.lineTo(650, 320);
ctx.closePath();
ctx.fill();
}
}
const btnPLine = document.getElementById('btn-plotly-line');
const btnP3D = document.getElementById('btn-plotly-scatter');
const btnPAnim = document.getElementById('btn-plotly-bar');
if (btnPLine) btnPLine.addEventListener('click', () => drawPlotly('line'));
if (btnP3D) btnP3D.addEventListener('click', () => drawPlotly('3d'));
if (btnPAnim) btnPAnim.addEventListener('click', () => drawPlotly('anim'));
drawPlotly('line');
}
// Plotly Dash
const cDash = document.getElementById('canvas-plotly-dash');
if (cDash) {
const ctx = cDash.getContext('2d');
const select = document.getElementById('dash-region');
function drawDash() {
clearCanvas(ctx);
const region = select ? select.value : 'north';
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
ctx.fillText(`Dashboard - Region: ${region.toUpperCase()}`, 40, 30);
// Simulated dashboard with multiple charts
const values = region === 'north' ? [40, 50, 60, 70] :
region === 'south' ? [60, 70, 50, 80] :
region === 'east' ? [50, 60, 70, 65] :
[70, 80, 75, 90];
// Line chart
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.beginPath();
values.forEach((val, i) => {
const x = 60 + i * 80;
const y = 150 - val * 0.8;
if (i === 0) ctx.moveTo(x, y);
else ctx.lineTo(x, y);
});
ctx.stroke();
// KPI card
ctx.fillStyle = '#1e2139';
ctx.fillRect(400, 70, 250, 100);
ctx.fillStyle = '#00ffff';
ctx.font = 'bold 32px Inter, sans-serif';
ctx.textAlign = 'center';
const total = values.reduce((a, b) => a + b, 0);
ctx.fillText(total, 525, 120);
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Total Sales', 525, 145);
ctx.textAlign = 'left';
}
const btnUpdate = document.getElementById('btn-update-dash');
if (btnUpdate) btnUpdate.addEventListener('click', drawDash);
if (select) select.addEventListener('change', drawDash);
drawDash();
}
// Git Basics
const cGit = document.getElementById('canvas-git-basics');
if (cGit) {
const ctx = cGit.getContext('2d');
function drawGit(cmd) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
if (cmd === 'init') ctx.fillText('git init: Initialize a new Git repository', 40, 30);
else if (cmd === 'add') ctx.fillText('git add: Stage files for commit', 40, 30);
else if (cmd === 'commit') ctx.fillText('git commit -m "message": Save snapshot', 40, 30);
else if (cmd === 'status') ctx.fillText('git status: Check working directory state', 40, 30);
// Visual workflow
const steps = ['Working\nDirectory', 'Staging\nArea', 'Repository'];
steps.forEach((step, i) => {
const x = 100 + i * 200;
const active = (cmd === 'add' && i === 1) || (cmd === 'commit' && i === 2) || (cmd === 'init' && i === 2);
ctx.fillStyle = active ? '#00ffff' : '#1e2139';
ctx.fillRect(x, 120, 150, 100);
ctx.strokeStyle = active ? '#00ffff' : '#555';
ctx.lineWidth = active ? 3 : 1;
ctx.strokeRect(x, 120, 150, 100);
ctx.fillStyle = active ? '#000' : '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.textAlign = 'center';
const lines = step.split('\n');
lines.forEach((line, j) => {
ctx.fillText(line, x + 75, 160 + j * 20);
});
// Arrows
if (i < steps.length - 1) {
ctx.strokeStyle = '#e0e6ed';
ctx.lineWidth = 2;
ctx.beginPath();
ctx.moveTo(x + 150, 170);
ctx.lineTo(x + 190, 170);
ctx.lineTo(x + 180, 165);
ctx.moveTo(x + 190, 170);
ctx.lineTo(x + 180, 175);
ctx.stroke();
}
});
ctx.textAlign = 'left';
// Command
ctx.fillStyle = '#000';
ctx.fillRect(100, 280, 500, 50);
ctx.fillStyle = '#00ff88';
ctx.font = '14px monospace';
if (cmd === 'init') ctx.fillText('$ git init', 120, 310);
else if (cmd === 'add') ctx.fillText('$ git add .', 120, 310);
else if (cmd === 'commit') ctx.fillText('$ git commit -m "Initial commit"', 120, 310);
else if (cmd === 'status') ctx.fillText('$ git status', 120, 310);
}
const btnInit = document.getElementById('btn-git-init');
const btnAdd = document.getElementById('btn-git-add');
const btnCommit = document.getElementById('btn-git-commit');
const btnStatus = document.getElementById('btn-git-status');
if (btnInit) btnInit.addEventListener('click', () => drawGit('init'));
if (btnAdd) btnAdd.addEventListener('click', () => drawGit('add'));
if (btnCommit) btnCommit.addEventListener('click', () => drawGit('commit'));
if (btnStatus) btnStatus.addEventListener('click', () => drawGit('status'));
drawGit('init');
}
// GitHub Remote
const cGitHub = document.getElementById('canvas-github-remote');
if (cGitHub) {
const ctx = cGitHub.getContext('2d');
function drawGitHub(cmd) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
if (cmd === 'remote') ctx.fillText('git remote add origin <url>: Link to GitHub', 40, 30);
else if (cmd === 'push') ctx.fillText('git push: Upload local commits to GitHub', 40, 30);
else if (cmd === 'pull') ctx.fillText('git pull: Download updates from GitHub', 40, 30);
else if (cmd === 'clone') ctx.fillText('git clone <url>: Copy repository to local', 40, 30);
// Local vs Remote visualization
ctx.fillStyle = '#1e2139';
ctx.fillRect(80, 100, 200, 150);
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 2;
ctx.strokeRect(80, 100, 200, 150);
ctx.fillStyle = '#e0e6ed';
ctx.font = 'bold 14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText('Local Repository', 180, 130);
ctx.fillStyle = '#00d4ff';
ctx.font = '12px Inter, sans-serif';
ctx.fillText('.git/', 180, 160);
ctx.fillText('Commits: A, B, C', 180, 180);
ctx.fillStyle = '#1e2139';
ctx.fillRect(420, 100, 200, 150);
ctx.strokeStyle = '#00ffff';
ctx.strokeRect(420, 100, 200, 150);
ctx.fillStyle = '#e0e6ed';
ctx.font = 'bold 14px Inter, sans-serif';
ctx.fillText('GitHub (Remote)', 520, 130);
ctx.fillStyle = '#00ffff';
ctx.font = '12px Inter, sans-serif';
ctx.fillText('origin', 520, 160);
ctx.fillText('Commits: A, B, C, D', 520, 180);
// Arrows
ctx.strokeStyle = cmd === 'push' ? '#00ff88' : '#555';
ctx.lineWidth = 3;
ctx.beginPath();
ctx.moveTo(280, 150);
ctx.lineTo(410, 150);
ctx.lineTo(400, 145);
ctx.moveTo(410, 150);
ctx.lineTo(400, 155);
ctx.stroke();
ctx.strokeStyle = cmd === 'pull' ? '#ff6b35' : '#555';
ctx.beginPath();
ctx.moveTo(420, 200);
ctx.lineTo(290, 200);
ctx.lineTo(300, 195);
ctx.moveTo(290, 200);
ctx.lineTo(300, 205);
ctx.stroke();
ctx.textAlign = 'left';
}
const btnRemote = document.getElementById('btn-git-remote');
const btnPush = document.getElementById('btn-git-push');
const btnPull = document.getElementById('btn-git-pull');
const btnClone = document.getElementById('btn-git-clone');
if (btnRemote) btnRemote.addEventListener('click', () => drawGitHub('remote'));
if (btnPush) btnPush.addEventListener('click', () => drawGitHub('push'));
if (btnPull) btnPull.addEventListener('click', () => drawGitHub('pull'));
if (btnClone) btnClone.addEventListener('click', () => drawGitHub('clone'));
drawGitHub('push');
}
// Git Branching
const cBranch = document.getElementById('canvas-git-branching');
if (cBranch) {
const ctx = cBranch.getContext('2d');
function drawBranch(cmd) {
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
if (cmd === 'branch') ctx.fillText('git branch: Create new branch', 40, 30);
else if (cmd === 'checkout') ctx.fillText('git checkout: Switch branches', 40, 30);
else if (cmd === 'merge') ctx.fillText('git merge: Combine branches', 40, 30);
// Branch visualization
const commits = [{x: 100, y: 200, label: 'A'}, {x: 200, y: 200, label: 'B'}, {x: 300, y: 200, label: 'C'}];
const featureBranch = [{x: 300, y: 150, label: 'D'}, {x: 400, y: 150, label: 'E'}];
const merged = {x: 500, y: 200, label: 'F'};
// Main branch
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 3;
ctx.beginPath();
commits.forEach((c, i) => {
if (i === 0) ctx.moveTo(c.x, c.y);
else ctx.lineTo(c.x, c.y);
});
if (cmd === 'merge') {
ctx.lineTo(merged.x, merged.y);
}
ctx.stroke();
commits.forEach(c => {
ctx.fillStyle = '#00d4ff';
ctx.beginPath();
ctx.arc(c.x, c.y, 15, 0, Math.PI * 2);
ctx.fill();
ctx.fillStyle = '#000';
ctx.font = 'bold 14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(c.label, c.x, c.y + 5);
});
// Feature branch
if (cmd !== 'branch' || cmd === 'checkout' || cmd === 'merge') {
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 3;
ctx.beginPath();
ctx.moveTo(commits[2].x, commits[2].y);
featureBranch.forEach((c, i) => {
ctx.lineTo(c.x, c.y);
});
if (cmd === 'merge') {
ctx.lineTo(merged.x, merged.y);
}
ctx.stroke();
featureBranch.forEach(c => {
ctx.fillStyle = '#00ffff';
ctx.beginPath();
ctx.arc(c.x, c.y, 15, 0, Math.PI * 2);
ctx.fill();
ctx.fillStyle = '#000';
ctx.font = 'bold 14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(c.label, c.x, c.y + 5);
});
}
// Merge commit
if (cmd === 'merge') {
ctx.fillStyle = '#00ff88';
ctx.beginPath();
ctx.arc(merged.x, merged.y, 15, 0, Math.PI * 2);
ctx.fill();
ctx.fillStyle = '#000';
ctx.font = 'bold 14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(merged.label, merged.x, merged.y + 5);
}
// Labels
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.textAlign = 'left';
ctx.fillText('main', 50, 205);
if (cmd !== 'branch' || cmd === 'checkout' || cmd === 'merge') {
ctx.fillStyle = '#00ffff';
ctx.fillText('feature', 320, 135);
}
}
const btnBranch = document.getElementById('btn-git-branch');
const btnCheckout = document.getElementById('btn-git-checkout');
const btnMerge = document.getElementById('btn-git-merge');
if (btnBranch) btnBranch.addEventListener('click', () => drawBranch('branch'));
if (btnCheckout) btnCheckout.addEventListener('click', () => drawBranch('checkout'));
if (btnMerge) btnMerge.addEventListener('click', () => drawBranch('merge'));
drawBranch('merge');
}
})();
/***** ---------- 5. MISSING DATA CANVAS ------------------------------- */
(function missingDataVis() {
const c = document.getElementById('canvas-missing-data');
if (!c) return;
const ctx = c.getContext('2d');
const data = [25, null, 30, 35, null, 40, 45];
function impute(data, method) {
const arr = [...data];
const observed = arr.filter((v) => v != null);
switch (method) {
case 'mean': {
const mean = observed.reduce((a, b) => a + b, 0) / observed.length;
return arr.map((v) => (v == null ? mean : v));
}
case 'median': {
const sorted = observed.slice().sort((a, b) => a - b);
const mid = Math.floor(sorted.length / 2);
const median =
sorted.length % 2 !== 0
? sorted[mid]
: (sorted[mid - 1] + sorted[mid]) / 2;
return arr.map((v) => (v == null ? median : v));
}
case 'mode': {
const freq = {};
observed.forEach((v) => (freq[v] = (freq[v] || 0) + 1));
let mode = observed[0];
let max = 0;
for (const key in freq) {
if (freq[key] > max) {
max = freq[key];
mode = Number(key);
}
}
return arr.map((v) => (v == null ? mode : v));
}
case 'ffill': {
let last = observed[0];
return arr.map((v) => {
if (v == null) return last;
last = v;
return v;
});
}
case 'knn': {
// very naive KNN with k = 3 using nearest neighbors by index
const k = 3;
return arr.map((v, idx) => {
if (v != null) return v;
const neighbors = [];
// look left and right until we gather k neighbors
let left = idx - 1,
right = idx + 1;
while (neighbors.length < k && (left >= 0 || right < arr.length)) {
if (left >= 0 && arr[left] != null) neighbors.push(arr[left]);
if (neighbors.length === k) break;
if (right < arr.length && arr[right] != null) neighbors.push(arr[right]);
left--;
right++;
}
if (neighbors.length === 0) return 0;
return neighbors.reduce((a, b) => a + b, 0) / neighbors.length;
});
}
default:
return arr;
}
}
function draw(method) {
const original = [...data];
const imputed = impute(data, method);
clearCanvas(ctx);
// Title and description
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
let methodName = '';
if (method === 'mean') methodName = 'Mean Imputation: Missing values filled with 35';
else if (method === 'median') methodName = 'Median Imputation: Missing values filled with 35';
else if (method === 'knn') methodName = 'KNN Imputation: Using k=2 neighbors';
ctx.fillText(methodName, 40, 30);
// Draw axis
ctx.strokeStyle = 'rgba(255,255,255,0.2)';
ctx.lineWidth = 1;
ctx.beginPath();
ctx.moveTo(60, 60);
ctx.lineTo(60, 420);
ctx.lineTo(760, 420);
ctx.stroke();
const maxVal = 50;
const barW = 70;
const gap = 20;
const chartBottom = 420;
imputed.forEach((val, i) => {
const x = 80 + i * (barW + gap);
const h = (val / maxVal) * 320;
const y = chartBottom - h;
const origMissing = original[i] == null;
let color = '#00d4ff';
if (origMissing && method === 'mean') color = '#00ffff';
else if (origMissing && method === 'median') color = '#ff6b35';
else if (origMissing && method === 'knn') color = '#00ff88';
else if (origMissing) color = '#888';
drawBar(ctx, x, y, barW, h, color);
// Value label
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(Math.round(val), x + barW/2, y - 10);
// Missing marker
if (original[i] == null) {
ctx.fillStyle = '#ff6b35';
ctx.font = '20px Inter, sans-serif';
ctx.fillText('?', x + barW/2, chartBottom + 30);
}
});
ctx.textAlign = 'left';
// Legend
ctx.font = '12px Inter, sans-serif';
ctx.fillStyle = '#00d4ff';
ctx.fillText('■ Original values', 80, 470);
ctx.fillStyle = method === 'mean' ? '#00ffff' : method === 'median' ? '#ff6b35' : '#00ff88';
ctx.fillText('■ Imputed values', 220, 470);
}
// Button event listeners
const btnMean = document.getElementById('btn-mean-impute');
const btnMedian = document.getElementById('btn-median-impute');
const btnKnn = document.getElementById('btn-knn-impute');
if (btnMean) btnMean.addEventListener('click', () => draw('mean'));
if (btnMedian) btnMedian.addEventListener('click', () => draw('median'));
if (btnKnn) btnKnn.addEventListener('click', () => draw('knn'));
// Initial draw
draw('mean');
})();
/***** ---------- 6. OUTLIER CANVAS ------------------------------------ */
(function outlierVis() {
const c = document.getElementById('canvas-outliers');
if (!c) return;
const ctx = c.getContext('2d');
const data = [150, 155, 160, 165, 170, 175, 180, 185, 260];
function draw(method) {
const mean = data.reduce((a, b) => a + b) / data.length;
const std = Math.sqrt(
data.map((v) => (v - mean) ** 2).reduce((a, b) => a + b) / data.length
);
const sorted = [...data].sort((a, b) => a - b);
const q1 = 157.5;
const q3 = 182.5;
const iqr = 25;
const lowerBound = q1 - 1.5 * iqr;
const upperBound = q3 + 1.5 * iqr;
clearCanvas(ctx);
// Title
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
let title = '';
if (method === 'iqr') title = 'IQR Method: 1 outlier detected (260cm)';
else if (method === 'zscore') title = 'Z-Score: 1 outlier detected';
else if (method === 'winsorize') title = 'Winsorization: Capped at 95th percentile (185cm)';
ctx.fillText(title, 40, 30);
// Draw axis
ctx.strokeStyle = 'rgba(255,255,255,0.2)';
ctx.lineWidth = 1;
ctx.beginPath();
ctx.moveTo(60, 60);
ctx.lineTo(60, 420);
ctx.lineTo(760, 420);
ctx.stroke();
const maxVal = 280;
const plotBottom = 420;
// Draw scatter plot
data.forEach((v, i) => {
const x = 100 + i * 70;
const y = plotBottom - (v / maxVal) * 320;
let isOutlier = false;
if (method === 'iqr') {
isOutlier = v < lowerBound || v > upperBound;
} else if (method === 'zscore') {
const z = Math.abs((v - mean) / std);
isOutlier = z > 3;
} else if (method === 'winsorize') {
isOutlier = v > 185;
}
ctx.fillStyle = isOutlier ? '#ff6b35' : '#00d4ff';
ctx.beginPath();
ctx.arc(x, y, 8, 0, Math.PI * 2);
ctx.fill();
// Value label
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(v, x, y - 15);
});
ctx.textAlign = 'left';
// Draw box plot if IQR method
if (method === 'iqr') {
const boxY = 100;
const boxX1 = 100;
const boxX2 = 660;
const q1X = boxX1 + (q1 / maxVal) * (boxX2 - boxX1);
const q3X = boxX1 + (q3 / maxVal) * (boxX2 - boxX1);
const medX = boxX1 + (170 / maxVal) * (boxX2 - boxX1);
// Box
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 3;
ctx.strokeRect(q1X, boxY - 15, q3X - q1X, 30);
// Median line
ctx.beginPath();
ctx.moveTo(medX, boxY - 15);
ctx.lineTo(medX, boxY + 15);
ctx.stroke();
// Bounds lines
ctx.strokeStyle = '#ff6b35';
ctx.setLineDash([5, 5]);
const ubX = boxX1 + (upperBound / maxVal) * (boxX2 - boxX1);
ctx.beginPath();
ctx.moveTo(ubX, 60);
ctx.lineTo(ubX, 420);
ctx.stroke();
ctx.setLineDash([]);
// Labels
ctx.fillStyle = '#e0e6ed';
ctx.font = '11px Inter, sans-serif';
ctx.fillText(`Q1=${q1}`, q1X - 25, boxY + 35);
ctx.fillText(`Q3=${q3}`, q3X - 25, boxY + 35);
ctx.fillStyle = '#ff6b35';
ctx.fillText(`UB=${upperBound}`, ubX - 30, 50);
}
// Mean line for zscore
if (method === 'zscore') {
ctx.strokeStyle = '#00ffff';
const meanY = plotBottom - (mean / maxVal) * 320;
ctx.lineWidth = 2;
ctx.beginPath();
ctx.moveTo(60, meanY);
ctx.lineTo(760, meanY);
ctx.stroke();
ctx.fillStyle = '#00ffff';
ctx.fillText(`Mean = ${mean.toFixed(1)}`, 680, meanY - 10);
}
// Legend
ctx.fillStyle = '#00d4ff';
ctx.fillText('● Normal', 80, 470);
ctx.fillStyle = '#ff6b35';
ctx.fillText('● Outlier', 180, 470);
}
// Button event listeners
const btnIqr = document.getElementById('btn-detect-iqr');
const btnZscore = document.getElementById('btn-detect-zscore');
const btnWinsorize = document.getElementById('btn-winsorize');
if (btnIqr) btnIqr.addEventListener('click', () => draw('iqr'));
if (btnZscore) btnZscore.addEventListener('click', () => draw('zscore'));
if (btnWinsorize) btnWinsorize.addEventListener('click', () => draw('winsorize'));
draw('iqr');
})();
/***** ---------- 7. SCALING CANVAS (Simplified) ----------------------- */
(function scalingVis() {
const c = document.getElementById('canvas-scaling');
if (!c) return;
const ctx = c.getContext('2d');
const rawX = [160, 165, 170, 175, 180];
const rawY = [60, 65, 70, 75, 80];
function scale(values, method) {
if (method === 'minmax') {
const min = Math.min(...values);
const max = Math.max(...values);
return values.map((v) => (v - min) / (max - min));
}
if (method === 'zscore') {
const mean = values.reduce((a, b) => a + b) / values.length;
const std = Math.sqrt(values.map((v) => (v - mean) ** 2).reduce((a, b) => a + b) / values.length);
return values.map((v) => (v - mean) / std);
}
if (method === 'robust') {
const sorted = values.slice().sort((a, b) => a - b);
const q1 = sorted[Math.floor(sorted.length * 0.25)];
const q3 = sorted[Math.floor(sorted.length * 0.75)];
const iqr = q3 - q1;
const med = sorted[Math.floor(sorted.length / 2)];
return values.map((v) => (v - med) / iqr);
}
return values;
}
function draw(method) {
clearCanvas(ctx);
// Title
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
let title = '';
if (method === 'minmax') title = 'Min-Max: Data scaled to [0, 1]';
else if (method === 'zscore') title = 'Standardization: Mean=0, Std=1';
else if (method === 'robust') title = 'Robust Scaler: Less sensitive to outliers';
ctx.fillText(title, 40, 30);
const scaledX = scale(rawX, method);
const scaledY = scale(rawY, method);
// Left side: Original data
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Original Data', 100, 80);
ctx.strokeStyle = 'rgba(255,255,255,0.2)';
ctx.strokeRect(50, 100, 300, 300);
rawX.forEach((xVal, i) => {
const yVal = rawY[i];
const x = 50 + ((xVal - 155) / 30) * 300;
const y = 400 - ((yVal - 55) / 30) * 300;
ctx.fillStyle = '#00d4ff';
ctx.beginPath();
ctx.arc(x, y, 6, 0, Math.PI * 2);
ctx.fill();
});
// Axis labels
ctx.fillStyle = '#a8b2c1';
ctx.font = '11px Inter, sans-serif';
ctx.fillText('Height', 160, 425);
ctx.save();
ctx.translate(30, 250);
ctx.rotate(-Math.PI / 2);
ctx.fillText('Weight', 0, 0);
ctx.restore();
// Right side: Scaled data
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Scaled Data', 500, 80);
ctx.strokeStyle = 'rgba(255,255,255,0.2)';
ctx.strokeRect(450, 100, 300, 300);
const minScaledX = Math.min(...scaledX);
const maxScaledX = Math.max(...scaledX);
const minScaledY = Math.min(...scaledY);
const maxScaledY = Math.max(...scaledY);
const rangeX = maxScaledX - minScaledX || 1;
const rangeY = maxScaledY - minScaledY || 1;
scaledX.forEach((xVal, i) => {
const yVal = scaledY[i];
const x = 450 + ((xVal - minScaledX) / rangeX) * 300;
const y = 400 - ((yVal - minScaledY) / rangeY) * 300;
ctx.fillStyle = '#00ffff';
ctx.beginPath();
ctx.arc(x, y, 6, 0, Math.PI * 2);
ctx.fill();
});
// Stats
ctx.fillStyle = '#00ffff';
ctx.font = '11px Inter, sans-serif';
if (method === 'minmax') {
ctx.fillText('Range: [0, 1]', 460, 425);
} else if (method === 'zscore') {
ctx.fillText('Mean: 0, Std: 1', 460, 425);
} else if (method === 'robust') {
ctx.fillText('Median centered', 460, 425);
}
}
// Button event listeners
const btnMinmax = document.getElementById('btn-minmax');
const btnStd = document.getElementById('btn-standardize');
const btnRobust = document.getElementById('btn-robust');
if (btnMinmax) btnMinmax.addEventListener('click', () => draw('minmax'));
if (btnStd) btnStd.addEventListener('click', () => draw('zscore'));
if (btnRobust) btnRobust.addEventListener('click', () => draw('robust'));
draw('minmax');
})();
/***** ---------- 8. ENCODING CANVAS ---------------------------------- */
(function encodingVis() {
const c = document.getElementById('canvas-encoding');
if (!c) return;
const ctx = c.getContext('2d');
const categories = ['Red', 'Green', 'Blue', 'Red', 'Green', 'Yellow'];
function encode(data, method) {
if (method === 'label') {
const unique = [...new Set(data)];
return data.map(v => unique.indexOf(v));
} else if (method === 'onehot') {
const unique = [...new Set(data)];
return data.map(v => {
const arr = new Array(unique.length).fill(0);
arr[unique.indexOf(v)] = 1;
return arr;
});
} else if (method === 'target') {
const targetMean = { 'Red': 0.8, 'Green': 0.5, 'Blue': 0.3, 'Yellow': 0.6 };
return data.map(v => targetMean[v] || 0);
}
return [];
}
function draw(method) {
const encoded = encode(categories, method);
clearCanvas(ctx);
// Title
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
let title = '';
if (method === 'label') title = 'Label Encoding: Categories → Integers';
else if (method === 'onehot') title = 'One-Hot: 4 categorical → 4 binary columns';
else if (method === 'target') title = 'Target Encoding: Category → Mean(target)';
ctx.fillText(title, 40, 30);
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Original', 120, 80);
ctx.fillText('Encoded', 420, 80);
const colors = { 'Red': '#ff6b35', 'Green': '#00ff88', 'Blue': '#00d4ff', 'Yellow': '#ffcc00' };
categories.forEach((cat, i) => {
const y = 120 + i * 50;
// Original
ctx.fillStyle = colors[cat];
ctx.fillRect(80, y, 100, 35);
ctx.fillStyle = '#000';
ctx.font = '14px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(cat, 130, y + 22);
// Arrow
ctx.fillStyle = '#e0e6ed';
ctx.font = '18px Inter, sans-serif';
ctx.fillText('→', 240, y + 22);
// Encoded
ctx.fillStyle = '#00ffff';
ctx.font = '14px Inter, sans-serif';
let encodedText = '';
if (method === 'onehot') {
encodedText = '[' + encoded[i].join(', ') + ']';
} else {
encodedText = String(encoded[i]);
}
ctx.fillText(encodedText, 450, y + 22);
});
ctx.textAlign = 'left';
// Mapping legend
if (method === 'label') {
const unique = [...new Set(categories)];
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.fillText('Mapping:', 80, 450);
unique.forEach((cat, i) => {
ctx.fillStyle = colors[cat];
ctx.fillText(`${cat} = ${i}`, 180 + i * 80, 450);
});
}
}
// Button event listeners
const btnLabel = document.getElementById('btn-label-encode');
const btnOnehot = document.getElementById('btn-onehot-encode');
const btnTarget = document.getElementById('btn-target-encode');
if (btnLabel) btnLabel.addEventListener('click', () => draw('label'));
if (btnOnehot) btnOnehot.addEventListener('click', () => draw('onehot'));
if (btnTarget) btnTarget.addEventListener('click', () => draw('target'));
draw('label');
})();
/***** ---------- 9. IMBALANCED DATA CANVAS ---------------------------- */
(function imbalancedVis() {
const c = document.getElementById('canvas-imbalanced');
if (!c) return;
const ctx = c.getContext('2d');
function draw(method) {
clearCanvas(ctx);
// Title
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
let title = '';
if (method === 'rus') title = 'RUS: 90 → 10 (lost data)';
else if (method === 'ros') title = 'ROS: 10 → 90 (by duplication)';
else if (method === 'smote') title = 'SMOTE: 10 → 90 (synthetic samples)';
ctx.fillText(title, 40, 30);
const majorityCount = 90;
const minorityCount = 10;
let balancedMajority = majorityCount;
let balancedMinority = minorityCount;
if (method === 'rus') {
balancedMajority = minorityCount;
} else if (method === 'ros') {
balancedMinority = majorityCount;
} else if (method === 'smote') {
balancedMinority = majorityCount;
}
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Before', 180, 80);
ctx.fillText('After', 540, 80);
// Scatter plot visualization
// Before - left side
for (let i = 0; i < majorityCount; i++) {
const x = 80 + Math.random() * 200;
const y = 120 + Math.random() * 250;
ctx.fillStyle = '#00d4ff';
ctx.beginPath();
ctx.arc(x, y, 3, 0, Math.PI * 2);
ctx.fill();
}
for (let i = 0; i < minorityCount; i++) {
const x = 80 + Math.random() * 200;
const y = 120 + Math.random() * 250;
ctx.fillStyle = '#ff6b35';
ctx.beginPath();
ctx.arc(x, y, 3, 0, Math.PI * 2);
ctx.fill();
}
// After - right side
for (let i = 0; i < balancedMajority; i++) {
const x = 440 + Math.random() * 200;
const y = 120 + Math.random() * 250;
ctx.fillStyle = '#00d4ff';
ctx.beginPath();
ctx.arc(x, y, 3, 0, Math.PI * 2);
ctx.fill();
}
for (let i = 0; i < balancedMinority; i++) {
const x = 440 + Math.random() * 200;
const y = 120 + Math.random() * 250;
ctx.fillStyle = method === 'smote' ? '#00ff88' : '#ff6b35';
ctx.beginPath();
ctx.arc(x, y, 3, 0, Math.PI * 2);
ctx.fill();
}
// Stats
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.fillText(`Majority: ${majorityCount}`, 120, 400);
ctx.fillText(`Minority: ${minorityCount}`, 120, 420);
ctx.fillText(`Ratio: ${(majorityCount/minorityCount).toFixed(1)}:1`, 120, 440);
ctx.fillText(`Majority: ${balancedMajority}`, 480, 400);
ctx.fillText(`Minority: ${balancedMinority}`, 480, 420);
ctx.fillText(`Ratio: ${(balancedMajority/balancedMinority).toFixed(1)}:1`, 480, 440);
// Legend
ctx.fillStyle = '#00d4ff';
ctx.fillText('● Majority class', 300, 470);
ctx.fillStyle = method === 'smote' ? '#00ff88' : '#ff6b35';
ctx.fillText('● Minority class', 450, 470);
}
// Button event listeners
const btnRus = document.getElementById('btn-rus');
const btnRos = document.getElementById('btn-ros');
const btnSmote = document.getElementById('btn-smote');
if (btnRus) btnRus.addEventListener('click', () => draw('rus'));
if (btnRos) btnRos.addEventListener('click', () => draw('ros'));
if (btnSmote) btnSmote.addEventListener('click', () => draw('smote'));
draw('rus');
})();
/***** ---------- 9. FEATURE SELECTION CANVAS -------------------------- */
(function featureSelectionVis() {
const c = document.getElementById('canvas-selection');
if (!c) return;
const ctx = c.getContext('2d');
const allFeatures = ['sqft', 'bedrooms', 'age', 'location', 'garage'];
const importance = [0.85, 0.62, 0.45, 0.73, 0.38];
function draw(method) {
clearCanvas(ctx);
// Title
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
let title = '';
let selected = [];
if (method === 'backward') {
title = 'Backward Elimination: 3 features selected';
selected = [0, 1, 3]; // sqft, bedrooms, location
} else if (method === 'forward') {
title = 'Forward Selection: Added 3 features';
selected = [0, 3, 1]; // sqft, location, bedrooms
} else if (method === 'rfe') {
title = 'RFE: Optimal 3 features';
selected = [0, 1, 3]; // sqft, bedrooms, location
}
ctx.fillText(title, 40, 30);
// Feature importance bar chart
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Feature Importance', 80, 80);
const barHeight = 40;
const maxWidth = 500;
allFeatures.forEach((feature, i) => {
const y = 120 + i * (barHeight + 20);
const barWidth = importance[i] * maxWidth;
const isSelected = selected.includes(i);
// Bar
ctx.fillStyle = isSelected ? '#00ffff' : '#555';
ctx.fillRect(200, y, barWidth, barHeight);
// Feature name
ctx.fillStyle = isSelected ? '#00ffff' : '#a8b2c1';
ctx.font = '14px Inter, sans-serif';
ctx.textAlign = 'right';
ctx.fillText(feature, 180, y + 25);
// Importance value
ctx.textAlign = 'left';
ctx.fillText(importance[i].toFixed(2), barWidth + 210, y + 25);
// Selected marker
if (isSelected) {
ctx.fillStyle = '#00ff88';
ctx.font = '16px Inter, sans-serif';
ctx.fillText('✓', 720, y + 25);
}
});
ctx.textAlign = 'left';
// Legend
ctx.fillStyle = '#00ffff';
ctx.font = '12px Inter, sans-serif';
ctx.fillText('■ Selected features', 200, 460);
ctx.fillStyle = '#555';
ctx.fillText('■ Removed features', 380, 460);
}
// Button event listeners
const btnBackward = document.getElementById('btn-backward-elim');
const btnForward = document.getElementById('btn-forward-select');
const btnRfe = document.getElementById('btn-rfe');
if (btnBackward) btnBackward.addEventListener('click', () => draw('backward'));
if (btnForward) btnForward.addEventListener('click', () => draw('forward'));
if (btnRfe) btnRfe.addEventListener('click', () => draw('rfe'));
draw('rfe');
})();
/***** ---------- 10. COMPREHENSIVE EDA CANVAS ------------------------- */
(function edaVis() {
const featureSelect = document.getElementById('edaFeature');
const confidenceSlider = document.getElementById('confidenceLevel');
const confidenceSpan = document.getElementById('confidenceValue');
const calcBtn = document.getElementById('calculateStats');
const corrBtn = document.getElementById('showCorrelation');
const c = document.getElementById('canvas-eda');
if (!c) return;
const ctx = c.getContext('2d');
// Sample EDA dataset
const edaData = {
age: [25, 30, 35, 40, 45, 50, 55, 60, 65, 70],
income: [35000, 42000, 55000, 65000, 58000, 72000, 80000, 70000, 90000, 95000],
credit: [650, 680, 720, 700, 690, 750, 780, 760, 800, 820]
};
let showingCorrelation = false;
function calculateStats(data) {
const sorted = [...data].sort((a, b) => a - b);
const n = data.length;
const mean = data.reduce((a, b) => a + b) / n;
const median = n % 2 === 0 ? (sorted[n/2-1] + sorted[n/2]) / 2 : sorted[Math.floor(n/2)];
const variance = data.reduce((sum, v) => sum + (v - mean) ** 2, 0) / n;
const std = Math.sqrt(variance);
const q1 = sorted[Math.floor(n * 0.25)];
const q3 = sorted[Math.floor(n * 0.75)];
const iqr = q3 - q1;
const mode = data.sort((a,b) =>
data.filter(v => v === a).length - data.filter(v => v === b).length
).pop();
return { mean, median, mode, std, q1, q3, iqr, sorted, min: sorted[0], max: sorted[n-1] };
}
function drawHistogram(data, stats, x, y, w, h) {
// Create bins
const numBins = 6;
const binWidth = (stats.max - stats.min) / numBins;
const bins = new Array(numBins).fill(0);
data.forEach(val => {
const binIndex = Math.min(Math.floor((val - stats.min) / binWidth), numBins - 1);
bins[binIndex]++;
});
const maxBin = Math.max(...bins);
const barWidth = w / numBins;
// Draw bars
bins.forEach((count, i) => {
const barH = (count / maxBin) * (h - 40);
const barX = x + i * barWidth;
const barY = y + h - 30 - barH;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(barX, barY, barWidth - 2, barH);
});
// Draw mean line
const meanX = x + ((stats.mean - stats.min) / (stats.max - stats.min)) * w;
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.beginPath();
ctx.moveTo(meanX, y);
ctx.lineTo(meanX, y + h - 30);
ctx.stroke();
// Draw median line
const medianX = x + ((stats.median - stats.min) / (stats.max - stats.min)) * w;
ctx.strokeStyle = '#ff6b35';
ctx.beginPath();
ctx.moveTo(medianX, y);
ctx.lineTo(medianX, y + h - 30);
ctx.stroke();
// Labels
ctx.fillStyle = '#e0e6ed';
ctx.font = '11px Inter, sans-serif';
ctx.fillText('Histogram', x, y - 5);
}
function drawBoxPlot(data, stats, x, y, w, h) {
const scale = w / (stats.max - stats.min);
const center = y + h / 2;
const boxHeight = 40;
// Whiskers
const minX = x + (stats.min - stats.min) * scale;
const maxX = x + (stats.max - stats.min) * scale;
const q1X = x + (stats.q1 - stats.min) * scale;
const q3X = x + (stats.q3 - stats.min) * scale;
const medX = x + (stats.median - stats.min) * scale;
ctx.strokeStyle = '#00d4ff';
ctx.lineWidth = 2;
// Left whisker
ctx.beginPath();
ctx.moveTo(minX, center);
ctx.lineTo(q1X, center);
ctx.stroke();
// Right whisker
ctx.beginPath();
ctx.moveTo(q3X, center);
ctx.lineTo(maxX, center);
ctx.stroke();
// Box
ctx.fillStyle = 'rgba(0, 212, 255, 0.3)';
ctx.fillRect(q1X, center - boxHeight/2, q3X - q1X, boxHeight);
ctx.strokeStyle = '#00d4ff';
ctx.strokeRect(q1X, center - boxHeight/2, q3X - q1X, boxHeight);
// Median line
ctx.strokeStyle = '#ff6b35';
ctx.lineWidth = 3;
ctx.beginPath();
ctx.moveTo(medX, center - boxHeight/2);
ctx.lineTo(medX, center + boxHeight/2);
ctx.stroke();
// Labels
ctx.fillStyle = '#e0e6ed';
ctx.font = '11px Inter, sans-serif';
ctx.fillText('Box Plot', x, y - 5);
ctx.fillText('Q1', q1X - 8, center + boxHeight/2 + 15);
ctx.fillText('Q2', medX - 8, center + boxHeight/2 + 15);
ctx.fillText('Q3', q3X - 8, center + boxHeight/2 + 15);
}
function drawScatterPlot(dataX, dataY, x, y, w, h) {
const statsX = calculateStats(dataX);
const statsY = calculateStats(dataY);
// Calculate correlation
const meanX = statsX.mean;
const meanY = statsY.mean;
const n = dataX.length;
const num = dataX.reduce((sum, xv, i) => sum + (xv - meanX) * (dataY[i] - meanY), 0);
const denX = Math.sqrt(dataX.reduce((sum, xv) => sum + (xv - meanX) ** 2, 0));
const denY = Math.sqrt(dataY.reduce((sum, yv) => sum + (yv - meanY) ** 2, 0));
const correlation = num / (denX * denY);
// Draw points
dataX.forEach((xv, i) => {
const px = x + ((xv - statsX.min) / (statsX.max - statsX.min)) * w;
const py = y + h - ((dataY[i] - statsY.min) / (statsY.max - statsY.min)) * h;
ctx.fillStyle = '#00d4ff';
ctx.beginPath();
ctx.arc(px, py, 4, 0, Math.PI * 2);
ctx.fill();
});
// Draw trend line (simplified)
const slope = correlation * (statsY.std / statsX.std);
const intercept = meanY - slope * meanX;
const x1 = statsX.min;
const y1 = slope * x1 + intercept;
const x2 = statsX.max;
const y2 = slope * x2 + intercept;
const px1 = x + ((x1 - statsX.min) / (statsX.max - statsX.min)) * w;
const py1 = y + h - ((y1 - statsY.min) / (statsY.max - statsY.min)) * h;
const px2 = x + ((x2 - statsX.min) / (statsX.max - statsX.min)) * w;
const py2 = y + h - ((y2 - statsY.min) / (statsY.max - statsY.min)) * h;
ctx.strokeStyle = '#ff6b35';
ctx.lineWidth = 2;
ctx.beginPath();
ctx.moveTo(px1, py1);
ctx.lineTo(px2, py2);
ctx.stroke();
// Labels
ctx.fillStyle = '#e0e6ed';
ctx.font = '11px Inter, sans-serif';
ctx.fillText('Scatter Plot', x, y - 5);
ctx.fillStyle = '#00ffff';
ctx.fillText(`r = ${correlation.toFixed(3)}`, x + w - 60, y + 15);
}
function drawCorrelationMatrix() {
clearCanvas(ctx);
ctx.fillStyle = '#e0e6ed';
ctx.font = '16px Inter, sans-serif';
ctx.fillText('Correlation Matrix', 300, 30);
const features = ['Age', 'Income', 'Credit Score'];
const corrMatrix = [
[1.00, 0.85, 0.75],
[0.85, 1.00, 0.68],
[0.75, 0.68, 1.00]
];
const cellSize = 120;
const startX = 150;
const startY = 80;
// Draw labels
ctx.font = '12px Inter, sans-serif';
features.forEach((f, i) => {
ctx.fillStyle = '#e0e6ed';
ctx.fillText(f, startX + i * cellSize + 30, startY - 10);
ctx.fillText(f, startX - 80, startY + i * cellSize + 65);
});
// Draw cells
corrMatrix.forEach((row, i) => {
row.forEach((val, j) => {
const x = startX + j * cellSize;
const y = startY + i * cellSize;
// Color based on correlation strength
const intensity = Math.abs(val);
const color = val > 0 ?
`rgba(0, 212, 255, ${intensity})` :
`rgba(255, 107, 53, ${intensity})`;
ctx.fillStyle = color;
ctx.fillRect(x, y, cellSize - 5, cellSize - 5);
// Value
ctx.fillStyle = intensity > 0.5 ? '#000' : '#e0e6ed';
ctx.font = 'bold 16px Inter, sans-serif';
ctx.textAlign = 'center';
ctx.fillText(val.toFixed(2), x + cellSize/2, y + cellSize/2 + 5);
ctx.textAlign = 'left';
});
});
// Legend
ctx.font = '12px Inter, sans-serif';
ctx.fillStyle = '#e0e6ed';
ctx.fillText('Strong Positive: r > 0.7', 200, 450);
ctx.fillText('Moderate: r = 0.5 to 0.7', 380, 450);
}
function draw() {
if (showingCorrelation) {
drawCorrelationMatrix();
return;
}
const feature = featureSelect.value;
const data = edaData[feature];
const stats = calculateStats(data);
clearCanvas(ctx);
// Title
ctx.fillStyle = '#e0e6ed';
ctx.font = '16px Inter, sans-serif';
ctx.fillText('EDA Dashboard', 320, 25);
// Left panel: Histogram
drawHistogram(data, stats, 40, 60, 350, 180);
// Top right: Box Plot
drawBoxPlot(data, stats, 420, 70, 350, 80);
// Bottom right: Scatter plot (feature vs next feature)
const nextFeature = feature === 'age' ? 'income' : feature === 'income' ? 'credit' : 'age';
drawScatterPlot(data, edaData[nextFeature], 420, 180, 350, 150);
// Statistics display
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.fillText('Descriptive Statistics:', 40, 270);
ctx.fillStyle = '#00d4ff';
ctx.fillText(`Mean: ${stats.mean.toFixed(2)}`, 40, 290);
ctx.fillText(`Median: ${stats.median.toFixed(2)}`, 40, 310);
ctx.fillText(`Std Dev: ${stats.std.toFixed(2)}`, 40, 330);
ctx.fillText(`IQR: ${stats.iqr.toFixed(2)}`, 40, 350);
ctx.fillStyle = '#e0e6ed';
ctx.fillText('Inferential Statistics:', 200, 270);
ctx.fillStyle = '#00ffff';
const confidence = Number(confidenceSlider.value);
const tCritical = confidence === 95 ? 1.96 : confidence === 99 ? 2.58 : 1.645;
const marginError = tCritical * (stats.std / Math.sqrt(data.length));
ctx.fillText(`Confidence: ${confidence}%`, 200, 290);
ctx.fillText(`CI: [${(stats.mean - marginError).toFixed(1)}, ${(stats.mean + marginError).toFixed(1)}]`, 200, 310);
ctx.fillText(`P-value: 0.003 (significant)`, 200, 330);
ctx.fillText(`Effect size (Cohen's d): 0.82`, 200, 350);
// Legend
ctx.strokeStyle = '#00ffff';
ctx.lineWidth = 2;
ctx.beginPath();
ctx.moveTo(40, 390);
ctx.lineTo(70, 390);
ctx.stroke();
ctx.fillStyle = '#e0e6ed';
ctx.font = '11px Inter, sans-serif';
ctx.fillText('Mean', 75, 394);
ctx.strokeStyle = '#ff6b35';
ctx.beginPath();
ctx.moveTo(130, 390);
ctx.lineTo(160, 390);
ctx.stroke();
ctx.fillText('Median', 165, 394);
ctx.fillStyle = '#a8b2c1';
ctx.fillText('Click "Show Correlation Matrix" to see feature relationships', 40, 470);
}
if (confidenceSlider) {
confidenceSlider.addEventListener('input', () => {
confidenceSpan.textContent = confidenceSlider.value;
draw();
});
}
if (featureSelect) {
featureSelect.addEventListener('change', () => {
showingCorrelation = false;
draw();
});
}
function drawHistogram2() {
showingCorrelation = false;
const data = edaData[featureSelect.value];
const stats = calculateStats(data);
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
ctx.fillText(`Histogram: Mean: ${stats.mean.toFixed(2)}, Median: ${stats.median.toFixed(2)}, Std: ${stats.std.toFixed(2)}`, 40, 30);
drawHistogram(data, stats, 100, 80, 600, 300);
}
function drawBoxPlot2() {
showingCorrelation = false;
const data = edaData[featureSelect.value];
const stats = calculateStats(data);
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
ctx.fillText(`Box Plot: Q1: ${stats.q1.toFixed(2)}, Q2: ${stats.median.toFixed(2)}, Q3: ${stats.q3.toFixed(2)}, IQR: ${stats.iqr.toFixed(2)}`, 40, 30);
drawBoxPlot(data, stats, 100, 150, 600, 200);
}
function drawCorrelation2() {
showingCorrelation = true;
const feature = featureSelect.value;
const nextFeature = feature === 'age' ? 'income' : feature === 'income' ? 'credit' : 'age';
clearCanvas(ctx);
ctx.fillStyle = '#00d4ff';
ctx.font = '16px Inter, sans-serif';
const dataX = edaData[feature];
const dataY = edaData[nextFeature];
const statsX = calculateStats(dataX);
const statsY = calculateStats(dataY);
const meanX = statsX.mean;
const meanY = statsY.mean;
const num = dataX.reduce((sum, xv, i) => sum + (xv - meanX) * (dataY[i] - meanY), 0);
const denX = Math.sqrt(dataX.reduce((sum, xv) => sum + (xv - meanX) ** 2, 0));
const denY = Math.sqrt(dataY.reduce((sum, yv) => sum + (yv - meanY) ** 2, 0));
const corr = num / (denX * denY);
ctx.fillText(`Correlation: r = ${corr.toFixed(2)} (strong positive)`, 40, 30);
drawScatterPlot(dataX, dataY, 150, 80, 500, 350);
}
// Button event listeners
const btnHistogram = document.getElementById('btn-histogram');
const btnBoxplot = document.getElementById('btn-boxplot');
const btnCorrelation = document.getElementById('btn-correlation');
if (btnHistogram) btnHistogram.addEventListener('click', drawHistogram2);
if (btnBoxplot) btnBoxplot.addEventListener('click', drawBoxPlot2);
if (btnCorrelation) btnCorrelation.addEventListener('click', drawCorrelation2);
drawHistogram2();
})();
/***** ---------- 11. FEATURE TRANSFORMATION CANVAS ------------------- */
(function transformationVis() {
const select = document.getElementById('transformMethod');
const c = document.getElementById('canvas-transformation');
if (!select || !c) return;
const ctx = c.getContext('2d');
// Non-linear data (quadratic relationship)
const xData = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
const yData = xData.map(x => x * x + Math.random() * 5); // y ≈ x²
function draw() {
const method = select.value;
clearCanvas(ctx);
if (method === 'polynomial') {
// Show scatter plot and polynomial features
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Original Data (non-linear)', 50, 30);
ctx.fillText('Feature Count: 2 → 6 (with degree=2)', 50, 50);
// Draw scatter
const maxX = Math.max(...xData);
const maxY = Math.max(...yData);
xData.forEach((x, i) => {
const px = 50 + (x / maxX) * 250;
const py = 300 - (yData[i] / maxY) * 200;
ctx.fillStyle = '#00d4ff';
ctx.beginPath();
ctx.arc(px, py, 4, 0, Math.PI * 2);
ctx.fill();
});
// Show polynomial transformation
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.fillText('Polynomial Features:', 380, 80);
ctx.fillText('Original: [x₁, x₂]', 380, 110);
ctx.fillText('Transformed:', 380, 140);
ctx.fillText('[1, x₁, x₂, x₁², x₁x₂, x₂²]', 380, 160);
ctx.fillStyle = '#00ffff';
ctx.fillText('Example: x=3, y=5', 380, 200);
ctx.fillText('→ [1, 3, 5, 9, 15, 25]', 380, 220);
} else if (method === 'binning') {
// Show binning visualization
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Age Binning: Continuous → Categorical', 50, 30);
const ages = [5, 12, 18, 25, 32, 45, 58, 67, 73, 89];
const bins = [
{ label: 'Child (0-18)', color: '#ff6b35', range: [0, 18] },
{ label: 'Young Adult (19-35)', color: '#00d4ff', range: [19, 35] },
{ label: 'Middle Age (36-60)', color: '#00ffff', range: [36, 60] },
{ label: 'Senior (61+)', color: '#ff6b35', range: [61, 100] }
];
// Draw age line
ctx.strokeStyle = 'rgba(255,255,255,0.2)';
ctx.beginPath();
ctx.moveTo(50, 150);
ctx.lineTo(650, 150);
ctx.stroke();
// Draw points with bin colors
ages.forEach((age) => {
const x = 50 + (age / 100) * 600;
const bin = bins.find(b => age >= b.range[0] && age <= b.range[1]);
ctx.fillStyle = bin ? bin.color : '#888';
ctx.beginPath();
ctx.arc(x, 150, 6, 0, Math.PI * 2);
ctx.fill();
// Label
ctx.font = '10px Inter, sans-serif';
ctx.fillText(age, x - 5, 170);
});
// Legend
ctx.font = '12px Inter, sans-serif';
bins.forEach((bin, i) => {
const y = 220 + i * 25;
ctx.fillStyle = bin.color;
ctx.fillRect(50, y, 15, 15);
ctx.fillStyle = '#e0e6ed';
ctx.fillText(bin.label, 75, y + 12);
});
} else if (method === 'log') {
// Log transformation visualization
const skewedData = [1, 2, 5, 10, 20, 50, 100, 200, 500, 1000];
const logData = skewedData.map(x => Math.log(1 + x));
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Log Transform: Reduces Right Skew', 50, 30);
// Before histogram
ctx.fillText('Before (Right-skewed)', 80, 80);
const maxBefore = Math.max(...skewedData);
skewedData.forEach((val, i) => {
const h = (val / maxBefore) * 150;
const x = 50 + i * 30;
const y = 250 - h;
ctx.fillStyle = '#ff6b35';
ctx.fillRect(x, y, 20, h);
});
// After histogram
ctx.fillStyle = '#e0e6ed';
ctx.fillText('After (More Normal)', 420, 80);
const maxAfter = Math.max(...logData);
logData.forEach((val, i) => {
const h = (val / maxAfter) * 150;
const x = 390 + i * 30;
const y = 250 - h;
ctx.fillStyle = '#00d4ff';
ctx.fillRect(x, y, 20, h);
});
// Formula
ctx.fillStyle = '#00ffff';
ctx.font = '12px Inter, sans-serif';
ctx.fillText('Formula: log(1 + x)', 280, 310);
}
}
// Button event listeners
const btnPolynomial = document.getElementById('btn-polynomial');
const btnBinning = document.getElementById('btn-binning');
const btnLog = document.getElementById('btn-log');
if (btnPolynomial) btnPolynomial.addEventListener('click', () => draw('polynomial'));
if (btnBinning) btnBinning.addEventListener('click', () => draw('binning'));
if (btnLog) btnLog.addEventListener('click', () => draw('log'));
draw('polynomial');
})();
/***** ---------- 12. FEATURE CREATION CANVAS ------------------------- */
(function creationVis() {
const select = document.getElementById('creationMethod');
const c = document.getElementById('canvas-creation');
if (!select || !c) return;
const ctx = c.getContext('2d');
// Sample data
const height = [1.6, 1.7, 1.8, 1.75, 1.65, 1.55, 1.9, 1.72]; // meters
const weight = [60, 70, 80, 75, 65, 55, 95, 73]; // kg
function createFeature(method) {
if (method === 'multiply') {
return height.map((h, i) => h * weight[i]);
} else if (method === 'divide') {
return weight.map((w, i) => w / height[i]);
} else if (method === 'add') {
return height.map((h, i) => h + weight[i]);
} else if (method === 'bmi') {
return weight.map((w, i) => w / (height[i] * height[i]));
}
return [];
}
function correlation(arr1, arr2) {
const mean1 = arr1.reduce((a, b) => a + b) / arr1.length;
const mean2 = arr2.reduce((a, b) => a + b) / arr2.length;
const num = arr1.reduce((sum, v, i) => sum + (v - mean1) * (arr2[i] - mean2), 0);
const den1 = Math.sqrt(arr1.reduce((sum, v) => sum + (v - mean1) ** 2, 0));
const den2 = Math.sqrt(arr2.reduce((sum, v) => sum + (v - mean2) ** 2, 0));
return num / (den1 * den2);
}
function draw() {
const method = select.value;
const newFeature = createFeature(method);
clearCanvas(ctx);
// Title
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Original Features', 80, 30);
ctx.fillText('Created Feature', 430, 30);
// Left: Scatter plot of height vs weight
const maxH = Math.max(...height);
const maxW = Math.max(...weight);
ctx.strokeStyle = 'rgba(255,255,255,0.2)';
ctx.strokeRect(40, 50, 250, 200);
ctx.font = '11px Inter, sans-serif';
ctx.fillStyle = '#a8b2c1';
ctx.fillText('Height (m)', 120, 265);
ctx.save();
ctx.translate(25, 150);
ctx.rotate(-Math.PI / 2);
ctx.fillText('Weight (kg)', -30, 0);
ctx.restore();
height.forEach((h, i) => {
const x = 40 + (h / maxH) * 250;
const y = 250 - (weight[i] / maxW) * 200;
ctx.fillStyle = '#00d4ff';
ctx.beginPath();
ctx.arc(x, y, 5, 0, Math.PI * 2);
ctx.fill();
});
// Right: Bar chart of new feature
const maxNew = Math.max(...newFeature);
const barW = 30;
newFeature.forEach((val, i) => {
const x = 380 + i * (barW + 5);
const h = (val / maxNew) * 180;
const y = 250 - h;
ctx.fillStyle = '#00ffff';
ctx.fillRect(x, y, barW, h);
});
// Formula and stats
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
let formula = '';
if (method === 'multiply') formula = 'height × weight';
else if (method === 'divide') formula = 'weight / height';
else if (method === 'add') formula = 'height + weight';
else if (method === 'bmi') formula = 'weight / height²';
ctx.fillText(`Formula: ${formula}`, 50, 300);
// Correlation
const corr = correlation(newFeature, weight).toFixed(3);
ctx.fillStyle = '#00ffff';
ctx.fillText(`Correlation with weight: ${corr}`, 50, 320);
}
// Button event listeners
const btnInteraction = document.getElementById('btn-interaction');
const btnRatio = document.getElementById('btn-ratio');
const btnBmi = document.getElementById('btn-bmi');
if (btnInteraction) btnInteraction.addEventListener('click', () => draw('multiply'));
if (btnRatio) btnRatio.addEventListener('click', () => draw('divide'));
if (btnBmi) btnBmi.addEventListener('click', () => draw('bmi'));
draw('bmi');
})();
/***** ---------- 13. DIMENSIONALITY REDUCTION (PCA) CANVAS ----------- */
(function pcaVis() {
const slider = document.getElementById('slider-components');
const pcaValSpan = document.getElementById('pcaValue');
const btn = document.getElementById('btn-pca-apply');
const c = document.getElementById('canvas-pca');
if (!slider || !c || !btn) return;
const ctx = c.getContext('2d');
// 3D data (simplified for visualization)
const data3D = [
[2.5, 2.4, 1.0],
[0.5, 0.7, 0.2],
[2.2, 2.9, 1.1],
[1.9, 2.2, 0.9],
[3.1, 3.0, 1.2],
[2.3, 2.7, 1.0],
[2.0, 1.6, 0.6],
[1.0, 1.1, 0.4],
[1.5, 1.6, 0.6],
[1.1, 0.9, 0.3]
];
// Simplified PCA (not real eigenvalue computation, just for viz)
const explainedVariance = [0.72, 0.23, 0.05]; // PC1, PC2, PC3
function draw() {
const nComponents = Number(slider.value);
pcaValSpan.textContent = nComponents;
clearCanvas(ctx);
// Title
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('PCA: Dimensionality Reduction', 250, 25);
// Original 3D visualization (pseudo-3D)
ctx.fillText('Original Data (3D)', 80, 60);
ctx.strokeStyle = 'rgba(255,255,255,0.15)';
ctx.strokeRect(30, 70, 280, 150);
data3D.forEach(point => {
const x = 50 + point[0] * 60;
const y = 150 - point[1] * 30;
const size = 2 + point[2] * 3;
ctx.fillStyle = '#00d4ff';
ctx.beginPath();
ctx.arc(x, y, size, 0, Math.PI * 2);
ctx.fill();
});
ctx.fillStyle = '#a8b2c1';
ctx.font = '11px Inter, sans-serif';
ctx.fillText('Features: 3', 50, 235);
// Transformed data (2D projection)
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText(`Reduced Data (${nComponents}D)`, 420, 60);
ctx.strokeStyle = 'rgba(255,255,255,0.15)';
ctx.strokeRect(360, 70, 280, 150);
// Project to PC space (simplified)
data3D.forEach(point => {
const pc1 = point[0] * 0.7 + point[1] * 0.3;
const pc2 = point[0] * 0.3 + point[1] * 0.7;
const x = 390 + pc1 * 60;
const y = 150 - pc2 * 30;
ctx.fillStyle = '#00ffff';
ctx.beginPath();
ctx.arc(x, y, 4, 0, Math.PI * 2);
ctx.fill();
});
ctx.fillStyle = '#a8b2c1';
ctx.font = '11px Inter, sans-serif';
ctx.fillText(`Features: ${nComponents}`, 380, 235);
// Explained variance bar chart
ctx.fillStyle = '#e0e6ed';
ctx.font = '14px Inter, sans-serif';
ctx.fillText('Explained Variance per Component', 180, 270);
const barWidth = 80;
const maxH = 80;
explainedVariance.slice(0, nComponents).forEach((variance, i) => {
const x = 120 + i * (barWidth + 20);
const h = variance * maxH;
const y = 360 - h;
// Bar
const colors = ['#00d4ff', '#00ffff', '#ff6b35'];
ctx.fillStyle = colors[i];
ctx.fillRect(x, y, barWidth, h);
// Label
ctx.fillStyle = '#e0e6ed';
ctx.font = '12px Inter, sans-serif';
ctx.fillText(`PC${i + 1}`, x + 25, 375);
ctx.fillText(`${(variance * 100).toFixed(1)}%`, x + 15, y - 5);
});
// Cumulative variance
const cumulative = explainedVariance.slice(0, nComponents).reduce((a, b) => a + b, 0);
ctx.fillStyle = '#00ffff';
ctx.font = '13px Inter, sans-serif';
ctx.fillText(`Cumulative Variance: ${(cumulative * 100).toFixed(1)}%`, 450, 310);
ctx.fillText(`Dimensionality Reduction: 3 → ${nComponents}`, 450, 330);
}
slider.addEventListener('input', draw);
btn.addEventListener('click', draw);
draw();
})();