What is iNumetrics?

iNumetrics is a free online platform developed to facilitate data processing and analysis, whether multivariate or not. With an intuitive interface and advanced tools, iNumetrics allows users of different experience levels to explore, organize, and interpret their data in a practical and efficient way. The platform offers features ranging from data import and preparation to the application of statistical techniques and interactive visualizations, making the analysis process more accessible, faster, and more reliable. All of this without the need for installation, fully online, designed to enhance data-driven decision-making.

The platform includes a powerful Python framework, developed to offer flexibility and high performance in data processing and analysis. With support for supervised and unsupervised methods, iNumetrics enables the execution of various techniques widely used in statistical analysis and machine learning.

Among the available methods are PCA (Principal Component Analysis), OPLS (Orthogonal Projections to Latent Structures), PLS-DA (Partial Least Squares Discriminant Analysis), SOM (Self-Organizing Maps), as well as k-Means, Random Forest, SVM (Support Vector Machines), and Artificial Neural Networks for classification, regression, and dimensionality reduction tasks.

Combining preprocessing features, interactive visualization, and simple integration with other libraries in the Python ecosystem, iNumetrics is a versatile solution for researchers, data scientists, and professionals seeking to perform robust analyses and explore complex patterns in their data in a practical and efficient way.