What is NXG Logic Explorer?

NXG Logic Explorer is a robust machine learning application specifically designed for Windows, intended to simplify various aspects of data analysis, predictive modeling, class identification, and simulation tasks. By optimizing numerous workflows, it enables users to discover new trends in exploratory datasets while also facilitating hypothesis testing, simulations, and text mining, all aimed at extracting meaningful insights. Noteworthy functionalities include the automatic organization of chaotic Excel files, parallel feature evaluation for producing summary statistics, and conducting Shapiro-Wilk tests, histograms, and frequency calculations for both continuous and categorical variables. Additionally, the software allows for the concurrent application of ANOVA, Welch ANOVA, chi-squared, and Bartlett's tests across diverse variables, while also automatically generating multivariable linear, logistic, and Cox proportional hazards regression models based on a defined p-value threshold to refine results derived from univariate analyses. All these features make NXG Logic Explorer an indispensable resource for researchers and analysts looking to significantly elevate their data analysis proficiency, ultimately encouraging a deeper understanding of complex datasets.

Integrations

Offers API?:
Yes, NXG Logic Explorer provides an API

Screenshots and Video

NXG Logic Explorer Screenshot 1

Company Facts

Company Name:
NXG Logic
Company Location:
United States
Company Website:
nxglogic.com/explorer.html

Product Details

Deployment
Windows
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

NXG Logic Explorer Categories and Features

Statistical Analysis Software

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization