SPSS for PC

SPSS for Windows

v 27.0.1.0|Spss

Technical Details

Category
Desktop
Sub Category
Database
License
Trial version
Requirements
Windows 10, Windows 8, Windows Vista, Windows XP, Windows 7, Windows 8.1
Language
English
Author
Spss
Version
27.0.1.0
Size
604.94 MB

Screenshots

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Advanced statistical analysis program

IBM SPSS is a statistical software that offers advanced predictive analytics, machine-learning algorithms, and text analysis to researchers, survey companies and data miners, as well as statistics for government agencies. It can integrate and deploy information to data processing apps for research projects of any size and complexity. These tools allow organizations to solve research problems, increase efficiency, reduce risk, and predict the outcomes. SPSS Software includes SPSS Statistics and SPSS Modeler. The former tests hypotheses, while the latter generates them. All of the above functions are available in IBM SPSS Windows, which is compatible to all Windows devices running Windows XP and higher.

Simple to use data analysis tool

IBM SPSS is designed for professionals in the fields of Social Science, Statistics, and Data Analytics. However, advanced users can use it to manage different figures and cases. This includes file reshaping, case selection, data derived, and the creation of a metadata dictionary. SPSS features are displayed in pull-down menus, but they can also be programmed using 4GL command syntax language. CSL reduces repetitiveness when consolidating information. To write subroutines for command language commands, you can add a macro language.

SPSS's user interface has two displays that can be toggled. The window's bottom left has two tabs, one called Data View and the second Variable View. The Data view looks similar to a spreadsheet, while the Variable View displays all the factors for each data point in the metadata dictionary. This interface is simple and easy to use, making it a good tool for anyone who needs a statistical programming language to manage information and create decision trees.