SPSS Statistics

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IBM SPSS Statistics Features

SPSS Statistics is loaded with powerful analytic techniques and time-saving capabilities to help you quickly and easily find new insights in your data.

Here's a look at some of the latest features and enhancements designed to help you:

Discover causal relationships in time series data

Uncover hidden causal relationships among large numbers of time series using the Temporal Causal Modeling (TCM) technique. SPSS Statistics enables you to feed many time series into TCM to find out which series are causally related, and can automatically determine the best predictors for each target series.

This image shows the causal connections associated with the top (best-fitting) 10 models in a temporal causal model system. A business that monitors key performance indicators (KPIs) and also tracks data on controllable metrics referred to as levers wants to determine the causal connections between the levers and the KPIs, so it can understand which levers affect which KPIs. The company also wants to know if there are causal connections between the KPIs themselves.

Explore relationships between data and geographic elements

SPSS Statistics includes geospatial analytics capabilities to help you explore the relationship between data elements that are tied to a geographic location.

In this map and graph, SPSS Statistics displays the point density (Kernel Density Estimation) of the selected regions over time.

As seen here, GSAR can be used to predict where crime is most likely to occur based on demographic information for the region, as shown in this map.

Get a wider range of R programming options

Develop and test R programs using a full-featured, integrated R development environment within SPSS Statistics. You can also write R functions that use SPSS Statistics functionality with command syntax from within R, and return results to R.

Enhance categorical analysis outcomes

Use a wider range of categorical principal component analysis (CATPCA) capabilities, including:

This is a plot of categorical principal component loadings with confidence intervals.

Create next generation web output

SPSS Statistics web reports have been completely redesigned, with more interactivity and functionality and web server support.

Bulk load data for faster performance

SPSS Statistics writes the data to a text data file, and then the bulk loader script writes the text data back to the database, providing superior performance when handling large datasets.

In addition, SPSS Statistics:

Bulk loading options are available in the Export to Database Wizard.

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