๐
Data Science Lab
โ STEM Lab Home
โฐ
๐ Regression
๐ Signal Processing
๐งฎ Statistics
๐ฌ PCA
๐ค ML Playground
๐ Stats Lab
๐ Visual & Fun
Scatter Plot
Histogram
Polynomial Fit
Pattern
Sine Wave
Linear
Quadratic
Circular
Exponential
Random
Equation
y =
Points
Noise
Generate
Samples
Bins
Generate
Points
Noise
Degree
Generate & Fit
Time Signal
FFT
Filtering
Samples
Fs (Hz)
Frequencies
Noise
Filter
Low-pass
High-pass
Band-pass
Cutoff (Hz)
Low Cutoff (Hz)
High Cutoff (Hz)
Run
๐ Stack Time
๐ Hide Time
๐ Stack FFT
๐ Hide FFT
Descriptive Stats
Correlation Matrix
Data (comma-separated)
Random n
Generate Random
Calculate
Columns (n)
Rows
Generate & Compute
Samples
Features
Clusters
Generate & Analyze
K-Means Clustering
Gradient Descent
Points/cluster
K clusters
Spread
Generate Data
Run K-Means
โถ Step
Function
Bowl โ xยฒ
Shifted โ (xโ2)ยฒ + 1
Wavy โ 0.5xยฒ + 2ยทsin(3x)
Double-well โ xโด โ 4xยฒ + x
Learning rate
Steps
Start x
Run
Hypothesis Testing
Bootstrap CI
Outlier Detection
Test
Independent T-Test
One-Sample T-Test
Paired T-Test
Mann-Whitney U
Chi-Square (Goodness of Fit)
ฮฑ (alpha)
Sample size n
Mean shift
Generate & Test
Data (comma-sep or blank for random)
Iterations
CI Level
Bootstrap
Data (comma-sep or blank for random)
Method
Z-Score
IQR Fence
Both
Threshold
Detect
๐ช Lorenz Attractor
๐ Fourier Epicycles
๐ฎ Mandelbrot Set
ฯ (sigma)
ฯ (rho)
ฮฒ (beta)
Steps
Generate
Terms (circles)
Shape
Square
Star
Heart
Arrow
Speed
1ร
2ร
0.5ร
Start
Stop
Max iterations
Color scheme
Classic
Fire
Ice
Neon
Render
Reset Zoom
๐ฑ Click & drag to zoom into any region