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Description

In a secure and manageable setting, users can swiftly derive insights from their data. Data can be collected in various formats and types, enabling the creation of new variables and the selection of specific cases of interest. Through effective data analysis techniques, both numerical and categorical variables can be thoroughly examined and analyzed. Results can be presented either in tabular form or through graphical representations. Additionally, users can investigate the relationships between different variables and assess the significance of these relationships. Various statistical tests, such as Pearson and Spearman correlations, Chi-Square tests, T-Tests for independent samples, Mann-Whitney, ANOVA, and Kruskal-Wallis, can be employed to achieve this. Moreover, the most commonly used measures of scale reliability can be easily selected and calculated. One can also verify the consistency of dimensions in the dataset. Utilizing measures like Cronbach's Alpha—both raw and standardized, with or without item deletion—Guttman’s six, and Intraclass correlation coefficients (ICC), provides further insights into the reliability of the data. This comprehensive approach ensures a thorough understanding of the data's structure and relationships.

Description

Numerical analysis, also known as scientific computing, focuses on the study of techniques for approximating solutions to mathematical challenges. Scilab features an array of graphical functions that allow users to visualize, annotate, and export data, as well as numerous options for creating and personalizing diverse plots and charts. As a high-level programming language designed for scientific applications, Scilab facilitates rapid algorithm prototyping while alleviating the burdens associated with lower-level languages like C and Fortran, where issues like memory management and variable declarations can complicate the process. With Scilab, complex mathematical computations can often be expressed in just a few lines of code, whereas other programming languages might necessitate significantly more extensive coding. Additionally, Scilab is equipped with sophisticated data structures, including polynomials, matrices, and graphic handles, and it provides a user-friendly development environment that enhances productivity and ease of use for researchers and engineers. Overall, Scilab's capabilities streamline the process of scientific computing and make it accessible to a wider audience.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Overleaf No 

Integrations

Overleaf Yes 

Pricing Details

$29.90/month/user
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Quark Analytics

Founded

2019

Country

Portugal

Website

www.quarkanalytics.com

Vendor Details

Company Name

Scilab Enterprises

Website

www.scilab-enterprises.com

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Statistical Analysis

Analytics No 
Association Discovery No 
Compliance Tracking No 
File Management No 
File Storage No 
Forecasting Yes 
Multivariate Analysis Yes 
Regression Analysis Yes 
Statistical Process Control Yes 
Statistical Simulation No 
Survival Analysis No 
Time Series No 
Visualization No 

Product Features

Computer-Aided Engineering (CAE)

CAD/CAM Compatibility No 
Finite Element Analysis No 
Fluid Dynamics No 
Import / Export Files No 
Integrated 3D Modeling No 
Manufacturing Process Simulation No 
Mechanical Event Simulation No 
Multibody Dynamics No 
Thermal Analysis No 

Statistical Analysis

Analytics No 
Association Discovery Yes 
Compliance Tracking Yes 
File Management No 
File Storage Yes 
Forecasting No 
Multivariate Analysis No 
Regression Analysis No 
Statistical Process Control No 
Statistical Simulation Yes 
Survival Analysis No 
Time Series No 
Visualization Yes 

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