SPSS Statistics Software Box

SPSS predictive analytics transforms your enterprise data into increased revenues and reduced costs. SPSS offers enterprise analytic applications, data mining and text mining, and comprehensive statistical analysis software that support your organisations decision making processes. 



 

Data Sheet - SPSS Statistics Base

Be confident in your analytical results and in the business decisions you make

SPSS Statistics v24

IBM SPSS Statistics Base is statistical analysis software that delivers the core capabilities you need to take the analytical process from start to finish. It is easy to use and includes a broad range of procedures and techniques to help you increase revenue, outperform competitors, conduct research and make better decisions.

IBM SPSS Statistics v24 continues to deepen its advanced analytics capabilities with new ways to analyze data including geospatial analytics, improved algorithms, more data types and better reporting, including the next generation of web reports.

What's new in version 24?

Custom Dialog Builder

The Custom Dialog Builder gets a major upgrade, including new controls, new properties of existing controls, new options for the menu location of a dialog, and an updated interface.

  • You can specify to install a custom dialog to a new submenu that is created when the dialog is installed. You can also specify whether a custom dialog is installed to all window types (Data Editor, Syntax, and Viewer) or to only a particular window type.

  • The following controls are now supported: field chooser, dataset selector, date control, secured text control, color picker, table control, and tab control.

  • Controls can be enabled or disabled based on the state of another control.

  • You can specify the minimum or maximum number of fields for a target list. You can also specify the minimum or maximum number of selected items for a multi-select list box.

  • You can specify whether a combo box control is editable. When the control is editable, a custom value can be entered at run time.

  • Labels can be positioned to the left of the control for the following controls: combo box, text control, number control, and file browser.

  • For controls that generate a list of items, you can specify the delimiter between the items in the generated syntax. This property applies to target lists, field choosers, table controls, and list box controls.

  • You can specify the width of the text area for the following control types: text control, number control, and secured text control.

  • The number of functional columns on the canvas, in which you can place controls, is increased to four. Previously, only three functional columns were supported.

  • You can specify that the content of a text control is a dataset name, which is validated at run time.

  • You can specify how to handle interior quotation marks in values that are enclosed in single or double quotation marks. This property applies to the following control types: text control, table control, combo box, and list box.

Programmability enhancements

  • Easily find and download new extensions; get updates to existing extensions; remove installed extensions; and view properties of your installed extensions from the new Extension Hub.

  • You can now choose to run Python code with either the Python 2 or the Python 3 processor. By default, Python code uses the Python 2 processor.

Reading and writing Excel files

  • Determine the data format for a column based on a specified percentage of values with the same format. Previously, if all values in a column did not have the same format, the column was assigned the string format. You can now specify the percentage of values that determine the format. The default setting is 95%.

  • Ignore hidden rows and columns.

  • Remove leading and trailing spaces from string values.

  • Specify a sheet name when writing Excel data files.

  • Append a named sheet to an existing Excel workbook.

  • Write variable labels instead of variable names to an Excel file.

Reading text data files

  • Simple but flexible interface for reading CSV data files.

  • More flexibility in reading text data files, including automatic detection of data formats and better handling of date and time values.

Custom Tables

The Custom Tables option includes a number of new features.

  • Display significance values for column means and column proportions tests.

  • Merge significance test results into the main table.

  • Confidence intervals and standard errors for most summary statistics.

  • Weighted results based on an effective base sampling weight variable.

Date/time Formats

  • You can read and display datetime values in the form yyyy-mm-dd hh:mm:ss with the new YMDHMS format. And you can read and display time durations in the form mm:ss with the new MTIME format.

  • You can omit delimiters (with some limitations) in input values for DATEADATEEDATESDATE, and TIME formats.

 

SPSS Statistics Base

SPSS Statistics Base provides essential statistical analysis tools for every step of the analytical process.

  • A comprehensive range of statistical procedures for conducting accurate analysis.

  • Built-in techniques to prepare data for analysis quickly and easily.

  • Sophisticated reporting functionality for highly effective chart creation.

  • Powerful visualization capabilities that clearly show the significance of your findings.

  • Support for all types of data including very large data sets.

A comprehensive range of statistical procedures

  • Carry out a wide range of descriptive procedures including crosstabulations, frequencies, compare means and correlation.

  • Predict numerical outcomes and identify groups using factor analysis, cluster analysis, linear regression, ordinal regression, discriminant analysis and Nearest Neighbor analysis.

  • Apply Monte Carlo simulation techniques to build better models and assess risk when inputs are uncertain.

  • Use SPSS Statistics Base with other modules, such as IBM SPSS Regression and IBM SPSS Advanced Statistics, to more accurately identify and analyze complex relationships.

Built-in techniques

  • Identify and eliminate duplicate cases and restructure your data files prior to analysis.

  • Set up data dictionary information (for example, value labels and variable types) and use it as a template to prepare all of your data for analysis faster.

  • Open multiple data sets within a single session to save time and condense steps.

Sophisticated reporting functionality

  • Create commonly used charts, such as scatterplot matrices, histograms and population pyramids, more easily.

  • Drag and drop variables and elements onto a chart creation canvas and preview the chart as it is being built.

  • Build a chart once, and then use those specifications to create hundreds more just like it.

Powerful visualization capabilities

  • Distribute and manipulate information for ad hoc decision-making using report online analytical processing (OLAP) technology.

  • Create high-end charts and graphs to aid analysis and reporting and identify new insights in your data.

  • Use pre-built map templates to generate a geographic or demographic analysis that can provide critical information for decision making.

  • Quickly change information and statistics in graphs for new levels of understanding, and convert a table to a graph with just a few mouse clicks.

Support for all types of data

  • Access, manage and analyze any kind of data set including survey data, corporate databases, data downloaded from the web and IBM Cognos Business Intelligence data.

  • Eliminate variability in data due to language-specific encoding and view, analyze and share data written in multiple languages using built-in Unicode support.

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