Web of Statistics

Free online statistical tools for students, researchers, teachers, and professionals.

🌐 Official Website: https://www.webofstatistics.com

📦 GitHub Repository: https://github.com/silviodavidrodriguez/web-of-statistics

Web of Statistics is an open-source web platform that provides interactive statistical analysis tools directly from a web browser. The project aims to make statistical methods accessible without requiring specialized software installation.

The platform includes tools for descriptive statistics, probability distributions, statistical inference, control charts, ANOVA, regression analysis, multivariate methods, machine learning, and consumer sensory analysis.

Features

Descriptive Statistics

Summary statistics
Histograms
Boxplots
Exploratory data analysis

Probability

Normal distribution
Student's t distribution
Chi-squared distribution
F distribution
Statistical tables

Statistical Inference

Confidence intervals
Hypothesis testing
Goodness-of-fit tests
Non-parametric methods

Statistical Process Control

Shewhart control charts
EWMA charts
CUSUM charts
Precontrol charts

ANOVA

One-way ANOVA
Two-way ANOVA
Randomized block designs
MANOVA
Non-parametric ANOVA

Regression

Simple linear regression
Multiple linear regression
Interaction models
Nonlinear regression

Multivariate Analysis

Principal Component Analysis (PCA)
Hierarchical Clustering Analysis (HCA)
K-Means Clustering
Correlation matrices
SIMCA

Multivariate Regression

Principal Component Regression (PCR)
Partial Least Squares Regression (PLSR)

Classification

Linear Discriminant Analysis (LDA)
Quadratic Discriminant Analysis (QDA)
Partial Least Squares Discriminant Analysis (PLS-DA)
Support Vector Machine (SVM)
Logistic Regression
Naive Bayes
k-Nearest Neighbors Classification (k-NN)

Tree Models

Decision Tree Classification
Random Forest Classification
XGBoost Classification

Sensory Analysis

Normalized consumer sensory data entry by copy and paste
Study setup, variable mapping, configuration, and validation workflow
Hedonic liking analysis and product ranking
JAR response distributions and penalty analysis
CATA frequency profiles, product descriptors, correspondence analysis, Cochran's Q, and adjusted pairwise comparisons
Purchase-intention summaries, rankings, response distributions, and product comparisons
Consumer segmentation from liking profiles and optional purchase-intention data
PCA-based consumer maps, cluster-solution evaluation, and segment characterization

Technology Stack

Python
Django
NumPy
Pandas
SciPy
Statsmodels
Scikit-learn
Plotly
PostgreSQL
Gunicorn
Nginx

Installation

1. Clone the repository

git clone https://github.com/silviodavidrodriguez/web-of-statistics.git
cd web-of-statistics

2. Create a virtual environment

python -m venv proyectoenv

3. Activate the virtual environment

Windows

Command Prompt:

proyectoenv\Scripts\activate

PowerShell:

.\proyectoenv\Scripts\Activate.ps1

Linux / macOS

source proyectoenv/bin/activate

4. Install Python dependencies

pip install -r requirements.txt

5. Run database migrations

python manage.py migrate

6. Start the development server

python manage.py runserver

Open the application in your browser:

http://127.0.0.1:8000

Project Structure

proyecto_stat/
│
├── home/
├── descriptive/
├── probability/
├── inference/
├── control/
├── anova/
├── regression/
├── multivariate/
├── multivariate_regression/
├── classification/
├── tree_models/
├── sensory_analysis/
│
├── static/
├── manage.py
└── proyecto_stat/

Contributing

Contributions are welcome.

If you find bugs, have suggestions for improvements, or want to contribute new statistical tools, please open an issue or submit a pull request.

Author