Free Online Statistical Software and Data Analysis Tools
Free online statistical analysis and machine learning tools: ANOVA, MANOVA, regression, classification, PCA, clustering, tree models, probability distributions, quality control charts and consumer sensory analysis.
Web of Statistics is a free online statistical analysis platform for students, researchers, teachers, and professionals. Analyze data directly in your browser using descriptive statistics, probability distributions, hypothesis testing, ANOVA, regression, classification, machine learning, control charts, and multivariate analysis, without downloading or installing software.
The platform includes tools for hypothesis testing, data visualization, probability distributions, regression models, classification methods, ANOVA, quality control and multivariate analysis, all accessible directly from a web browser.
Available tools
Descriptive Statistics
Summary statistics, histograms, boxplots and exploratory data analysis.
Probability
Normal, Student's t, chi-squared and F distribution calculators and tables.
Inference
Confidence intervals, hypothesis tests, distribution tests and non-parametric methods.
Control Charts
Shewhart charts, precontrol charts, EWMA and CUSUM tools for quality control.
ANOVA & MANOVA
One-way ANOVA, two-way ANOVA, randomized block ANOVA, MANOVA, post-hoc comparisons, assumption checks, canonical discriminant analysis and diagnostic plots.
Regression
Linear regression, interaction models and nonlinear regression tools.
Multivariate Analysis
PCA, hierarchical clustering, k-means clustering, correlation matrices and SIMCA.
Multivariate Regression
Principal Component Regression (PCR) and Partial Least Squares Regression (PLSR) with training, cross-validation and external validation.
Classification
LDA, QDA, PLS-DA, Logistic Regression, Naive Bayes, k-NN and Support Vector Machines (SVM) with training, cross-validation and external validation.
Tree Models
Decision Tree, Random Forest and XGBoost classification models with feature importance, confusion matrices, cross-validation and external validation.
Sensory Analysis
Consumer sensory analysis with hedonic liking, JAR scales, penalty analysis, CATA questions, purchase intention, product comparison and consumer segmentation.
About the project
Web of Statistics was created by Dr. Silvio D. Rodríguez, Professor of Applied Statistics at the Pontificia Universidad Católica Argentina (UCA), Buenos Aires. The goal of the project is to make statistical tools more accessible for education, research and professional data analysis.
This is an academic and educational initiative. The tools are provided freely, and users are responsible for checking results and applying statistical methods appropriately.
Web of Statistics is an open-source project. The complete source code is publicly available on GitHub, allowing users, educators and developers to inspect, contribute to and improve the platform.
View the project on GitHub
Feedback, bug reports and suggestions are welcome. Please contact webofstatistics@gmail.com.
Donations help cover hosting and maintenance costs so the platform can remain free and ad-free.
