Spotfire Statistica Data Science Author

Spotfire Statistica Data Science Author offers the full range of statistical methods, data import, export and preparation, visualisations and reporting, supplemented by machine learning and many other functions. The statistical methods offered in Spotfire Statistica Data Science Author include descriptive statistics, regression analysis, ANOVA/MANOVA, non-parametric methods, industrial statistics, design of experiments, SPC, power analysis and much more. Machine Learning (ML) including artificial neural networks, support vector machines and decision trees, methods for feature selection, cluster analysis, weight of evidence recoding, shopping basket analysis using association rules, text mining, stability (shelf life), a business rule engine, response optimisation, model code generator, PI connector and much more. Analytical processes can be visually structured, automated and reused via the project interface. In addition to the existing extensive options, seamless calculations from R or Python environments can be integrated.