Search Results for "visual python"

NAVAL-SEM is a fully offline desktop application for PLS-SEM and CB-SEM research. Designed for researchers, PhD scholars, professors, and analysts, NAVAL-SEM provides visual model building, bootstrapping, HTMT, fit indices, mediation analysis, MGA, and export support without requiring cloud access or subscriptions. Key features include: • PLS-SEM and covariance-based SEM • Visual drag-and-drop model builder • Bootstrapping and mediation analysis • HTMT, AVE, CR, Cronbach’s Alpha • Multi-group analysis (MGA) • R/Python/Lavaan export • Fully offline execution for sensitive datasets Available for Windows, macOS, and Linux.

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn helps you explore and understand your data. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots. Its dataset-oriented, declarative API lets you focus on what the different elements of...

Example of program for statistic and visual analysis on Python

ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve,...