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The Unscrambler has been created as a powerful tool for carrying out multivariate data analysis tasks, which are useful for analysts, researchers as well as engineers.
This sort of assessment can provide statistical information based on multiple variables in order to generate a more clear picture.
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The tool can assess large data sets and accurately in order to provide users to reliable conclusions very quickly and with the least effort from their part.
Installing the program on the system is not a tough job but the process requires the attention of the user at one point, for choosing whether the application should use Windows Authentication details or not.
The interface of the application should not be too complicated, especially for those accustomed to this type of software.
The Unscrambler features support for a wide range of data files, which include information from Excel and Matlab suites as well as from other data analysis and processing software. Adding data from Microsoft’s Excel is as easy as dragging and dropping it into the application window.
The product integrates advanced regression and classification methods, tools for carrying out exploratory data analysis as well as pre-processing options.
It can run various statistical tests along with cluster analysis (K-means/K-medians Ward’s method) and PCA (principal component analysis). Regression and classification methods include MLR (multiple linear regression) and projection using the PCA and PLS (partial least squares) models.
Although the application does not address the regular user it is not too difficult to handle by those that have a good grasp of statistical instruments. It provides a wide range of analysis tools and methods for achieving reliable results.