SPSS is a statistics package that lets you manage statistical data and research.

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IBM SPSS Statistics is a professional software tool to assist you in collating, analyzing, and visually representing data. It generally requires the professional or enterprise versions of Windows, such as Windows 10 Pro, Windows Vista Business, or Windows 7 Enterprise. SPSS also has extensive support for Microsoft Office as well as a wide range of enterprise-level tools developed by IBM. SPSS can be used as a standalone program but really shines in an integrated environment.

You can import data into SPSS, have it access various independent data sets, and other stores or use the built-in data collection tools that support a wide range of sources. SPSS can even help you create collection mechanisms, such as Web-based surveys with intuitive interfaces.

Once you have data to work on, SPSS helps you analyze it via a broad collection of powerful analytical features. Detail analysis tools lets you scrutinize data on a wide-ranging or granular level, and the software has a particular focus on discovering patterns and trends.

SPSS also supports data modelling, and there are numerous tools available to model data sets in a number of different ways. If you want to reverse a trend or achieve a particular goal, you change one variable at a time and have SPSS model how that change affects the result or forecast.

This tool also provides sophisticated means to visualize data. You can create intricate graphs, charts, and other illustrations, and there are hundreds of design options to choose from. You can also create your own templates, and visualization can automatically reflect data changes, modeling, and so forth.

SPSS is complex. It’s very much a professional tool intended for enterprise environments. It has a steep learning curve and requires a person to master it in order to get the most out of it. It isn’t generally a tool you’d use at home, and sharing and collaboration can be difficult if the other users don’t have SPSS, Microsoft Office, or other IBM tools.

Pros

• Supports Microsoft Office
• Robust data visualization tools
• Supports data modeling

Cons

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• Steep learning curve
• Not easy to share data with non-SPSS users