Quark Analytics

What is Quark Analytics?

Quick and easy analysis creation with Quark Analytics

With Quark Analytics you can start exploring your data right away! It supports the exploration phase in the analysis lifecycle (Data Explore).

Quark Data Analysis Platform

Safe and easy to use

In a secure and manageable environment, the user can quickly extract information from the data.

You can collect the data through various formats and types of data; create new variables; transform and select the cases of your interest!

Examine U data with Quark Analytics

You can examine and analyze data through appropriate data analysis for numerical and categorical variables. Check the results in a table or graphical way.

Explore relationships between variables. Test the importance of the relationship. Correlations (Pearson, Spearman), chi-square tests, T test for independent samples, Mann-Whitney, Anova, Kruskal-Wallis and more.

Powerful testing with Quark Analytics

You can easily select and calculate the most common measures of balance reliability. Test whether the dimensions of your data are consistent.

Use measures such as Cronbach Alpha Raw and standardized, if the item is excluded, the Guttman six, the intraclass correlation coefficients (ICC), and more.

Analytical arena - easily reach the next level

Leverage your data: Factor Analysis, Principal Components, Regression Models (Linear and Logistic), Cluster Analysis, Outlier Detection.

The user can quickly and easily analyze, report and deploy insights, and evaluate their business decisions. The Analytics Arena guides data exploration and enables effortless analytics creation.

Amazing Data Analytics

Find a platform that helps you extract information from your data. Perform statistics with a trusting environment.

Collect and analyze data

An easy-to-use cloud-based platform that allows users to collect, prepare, and analyze data.

Import your datasets from multiple sources

Inspect your raw data

Create new variables

Select the relevant cases for analysis

Data visualization

Graphical interface that allows you to extract information from your data

Bar charts and pie charts

Speedometers

Scatter charts

Perceptual Mapping

Data analysis

In a safe environment, perform data analysis, apply tests and verify the results with the help of our tips and hits

Robust statistical tests

Advanced modeling techniques

Guidelines for interpreting your results

Deploy/share your analysis in multiple formats

System Requirements:

CPU: 1.8 GHz dual core processor

RAM: 2 GB

HDD/SSD: 50 GB of free space on the main drive

Operating system: Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit, and Microsoft Windows Vista 32-bit

Resolution: 1024×768