The 'Transform' tab is for computing variables, recording samples, and, more generally, for adjusting your data parameters.

The first three - File, Edit, View, and Data - are for managing datasets, adding new ones, and configuring visualization options. IBM SPSS Statistics has plenty of options for performing advanced data analysis, such as tools for statistical procedures (for great accuracy and quality data interpretation), options for integration with open-source software via Python or R, flexible deployment features, extension addition, and many others.Īmong the tool's top sections, we can distinguish ten different ones. Moreover, you have available plenty of video tutorials and walk-through guides. You can start using it right away or browse the sample files (usually located in C:\Program Files\IBM\SPSS\Statistics\Subscription\Samples) to learn the tool's ins and outs. The program is super large in size and comes packed with a lot of resources. It allows you to better understand your data, manage large datasets, solve extremely difficult research problems, and generate reports for understanding complex patterns. This data analyzer is a versatile instrument with a great and super-responsive GUI. IBM SPSS Statistics is a reliable application with powerful features, a solid architecture, plus comprehensive menu and navigation commands.