id	feature	desc
0	Data access tools and data management tools	Direct Excel data access Access SAS 7, 8, or 9 data files, including compressed files Data Restructure Wizard Convert a single record to multiple records Convert multiple records to a single record Multiple datasets can be run in the same session OLE DB data access Import from and export to IBM SPSS Data Collection Interviewer Web ODBC Capture -- DataDirect Drivers Unicode support Text Wizard Support for long variable names, longer value labels and very long text strings Longer value labels Very long text strings SAS 7/8/9 data files including compressed files Export data to SAS and current versions of Excel
1	Basic data preparation tools	Define Variable properties tool Date/Time Wizard Identify Duplicate cases Optimal Binning Visual Bander Copy Data Properties tool Export to Database Wizard Define Variable Sets
2	The Data Editor	Access data from: IBM SPSS Statistics SAV Files IBM SPSS Data Collection data Excel Stata, SAS, Systat dBase Databases (Oracle, SQL Server, IBM AIX) Text files
3	The Syntax Editor	Auto-complete, color coding and other features make it easier to edit and test syntax
4	The Output Management System	Generate tabular results Table-to-graph conversion option Use search and replace to make corrections Export models as XML to SmartScore, as HTML, or in PDF format Share IBM SPSS Statistics output with IBM SPSS Smartreader
5	Tabular Output
6	Charts	Many types of charts can be created, either through the Graphboard of by using the ChartBuilder interface. Basic Graphs Charts for multiple response variables Interactive graphs — scriptable Auto- and cross-correlation graphs Overlay and dual Y-axis charts ROC analysis Time-series charts Graphics Production Language for custom charts Chart Gallery Chart Looks
7	The HELP system	A rich resource for users at all levels, it offers: Full Index Browse and Search Statistics Coach Tutorials
8	Add capabilities through the IBM SPSS Programmability Extension	Flow control or syntax jobs User defined procedures Partial Least Squares regression IBM SPSS Statistics equivalent of the SAS DATA STEP Support for R algorithms and graphics Python for backend scripting Python for frontend scripting Custom UI Builder
9	Deeper integration with IBM SPSS Collaboration and Deployment Services	IBM SPSS Collaboration and Deployment Services is a platform that supports organizations in the management of analytical assets, automation of analytical processes, and efficient delivery of results as they move toward becoming Predictive Enterprises. The deeper integration available in IBM SPSS Statistics 17.0 streamlines the use of SPSS Inc. technologies throughout the enterprise.
10	Enhanced administrative tools	New administrative tools available in IBM SPSS Statistics Server provide IT staff with greater control in configuring, monitoring, prioritizing, troubleshooting, and optimizing their IBM SPSS Statistics client/server environment. Information now available includes activity by IBM SPSS Statistics users, and resources used in the execution of IBM SPSS Statistics analysis. Also, someone opening a data file that is already in use would be automatically alerted to this, enabling teams to work together more efficiently and effectively by knowing who is accessing data at any given time.
11	Additional multithreaded algorithms	Additional algorithms have been made multithreaded for improved performance on machines containing multiple processors and multi-core processors. The following procedures are now multithreaded: SORT and Multinomial Logistic Regression in IBM SPSS Statistics Base; and Complex Samples Cox Regression in IBM SPSS Complex Samples™.
12	Graphboard	Statistical programmers will find additional graphing options available in IBM SPSS Statistics 17.0. This release extends support of the IBM SPSS Statistics plug-in for R to include graphic “packages” written in that programming language. Since these can be saved as templates, analysts will be able to choose from an almost unlimited array of potential graph types when communicating their findings.
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15	Amos™	Amos provides you with powerful and easy-to-use structural equation modeling (SEM) software.
16	IBM SPSS Collaboration and Deployment Services	Manage diverse analytical assets, execute critical predictive processes, and give visibility into the results of initiatives.
17	SamplePower®	In just a few easy steps, SamplePower helps you find the best sample size for your research and then compare the effects of different study parameters with the built-in, flexible analytical tools.
18	IBM SPSS Advanced Statistics	IBM SPSS Advanced Statistics lets you move beyond basic statistics to analyze complex relationships using powerful multivariate techniques.
19	SPSS Advantage™ for Excel® 2007	With SPSS Advantage for Excel 2007, you gain specialized tools to manage and analyze business datasets - extending the capabilities of Excel. This add-on product provides you with select SPSS functionality seamlessly integrated into Excel 2007.
20	IBM SPSS Categories	Unleash the full potential of your data through perceptual mapping, optimal scaling, preference scaling, and dimension reduction techniques. IBM SPSS Categories provides you with all the tools you need to obtain clear insight into complex high-dimensional or categorical data.
21	IBM SPSS Complex Samples	IBM SPSS Complex Samples provides the specialized planning tools and statistics you need when working with complex sample survey data.
22	IBM SPSS Conjoint	With IBM SPSS Conjoint, you can easily measure the tradeoff effect of each product attribute in the context of a set of product attributes-as consumers do when making purchasing decisions.
23	IBM SPSS Custom Tables	Effectively summarize and communicate even the most complicated results in a presentation-ready tabular format by using a highly intuitive drag-and-drop interface.
24	IBM SPSS Data Collection Data Entry	Introducing a modern approach to data entry that lets you create powerful surveys and conduct quick, quality data entry with real-time and post-collection verification and validation with IBM SPSS Data Collection Author and IBM SPSS Data Collection Interviewer.
25	IBM SPSS Data Preparation	With the IBM SPSS Data Preparation module, you gain new techniques to help you streamline the data preparation stage of the analytical process.
26	IBM SPSS Decision Trees	The IBM SPSS Decision Trees module creates classification and decision trees that help you more clearly identify groups, discover relationships between groups and predict future events.
27	IBM SPSS Exact Tests	IBM SPSS Exact Tests gives you what's needed to more accurately work with small samples, and analyze rare occurrences in large databases.
28	IBM SPSS Direct Marketing	IBM SPSS Direct Marketing helps marketers perform recency-frequency-monetary value (RFM) analysis and several others easily and confidently, without requiring a detailed understanding of statistics.
29	IBM SPSS Forecasting	IBM SPSS Forecasting has the advanced statistical techniques you need in order to work with time-series data. But you don't need to be an expert statistician to use it.
30	IBM SPSS Missing Values	Overcome missing data issues by quickly diagnosing the extent of the problem and then using multiple imputation methods to arrive at more valid conclusions.
31	IBM SPSS Neural Networks	Find new associations in your data with IBM SPSS Neural Networks and then confirm their significance with traditional statistical techniques.
32	IBM SPSS Statistics Programmability Extension	The IBM SPSS Statistics Programmability Extension enables your organization to extend the IBM SPSS Statistics command syntax language with today's powerful external programming languages.
33	IBM SPSS Regression	IBM SPSS Regression enables you to apply more sophisticated models to your data using its wide range of nonlinear regression models.
34	Statistics Adapter for IBM SPSS Collaboration and Deployment Services	Integrate Statistics Adapter into the IBM SPSS Collaboration and Deployment Services platform. This platform helps you securely manage the centralization, automation, and deployment of predictive models and processes.
35	IBM SPSS Statistics Base	Solve business and research problems using the premier statistical software product for data management and analysis.
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37	IBM SPSS Text Analytics for Surveys	IBM SPSS Text Analytics for Surveys is based on our powerful SPSS Inc. natural language processing (NLP) software technologies in order to help you gain full value from text responses.
38	IBM SPSS Bootstrapping	IBM SPSS Bootstrapping enables researchers and analysts to use bootstrapping techniques on a number of tests contained in IBM SPSS Statistics modules. This provides an efficient way to ensure that your models are stable and reliable.
39	IBM SPSS Statistics Developer	IBM SPSS Statistics Developer gives programmers working in R or Python a workbench that makes it easier for them to "wrap" procedures in IBM SPSS Statistics syntax so that they can easily be shared with anyone who uses IBM SPSS Statistics.
40	The Automated Data Preparation feature (in IBM SPSS Data Preparation) detects and corrects quality errors in one efficient step	Includes an easy-to-understand report with complete recommendations and visualizations to help you determine which data to use in your analysis.
41	New nonparametric tests (in IBM SPSS Statistics Base)	Provide multiple comparisons. Existing algorithms have been enhanced to handle larger datasets more efficiently.
42	Post-computed categories (in IBM SPSS Custom Tables)	Let users perform calculations on data even after they have been placed in a table.
43	Significance tests (in IBM SPSS Custom Tables)	View significance tests in the main results table.
44	Rule Checking in Secondary SPC Charts (in IBM SPSS Statistics Base)	Achieve greater accuracy and a better understanding of whether a process is operating normally.
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47	IBM SPSS Statistics Developer	IBM SPSS Statistics Developer gives programmers working in R or Python a workbench that makes it easier for them to "wrap" procedures in IBM SPSS Statistics syntax so that they can easily be shared with anyone who uses IBM SPSS Statistics.