SPSS Statistics - Data Preparation
IBM SPSS Data Preparation gives analysts advanced techniques to streamline the data preparation stage of the analytical process, prior to analysis. While basic data preparation tools are included in IBM SPSS Statistics Base, IBM SPSS Data Preparation provides specialized techniques to prepare your data for more accurate analyzes and results.
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IBM SPSS Statistics - Data Preperation
Improve data preparation for more accurate results
IBM® SPSS® Data Preparation performs advanced techniques that streamline the data preparation stage of the analytical process to deliver faster, more accurate data analysis results. Analysts can choose from a completely automated data preparation procedure for the fastest results, or select from several other methods to help prepare more challenging data sets.
With this software, you can easily identify suspicious or invalid cases, variables and data values. You can also view patterns of missing data, summarize variable distributions and more accurately work with algorithms designed for nominal attributes.
SPSS Data Preparation helps:
- Automate the data preparation process—to eliminate complex, time-consuming manual data preparation.
- Validate data without manual checks—to perform faster, more accurate data validation.
- Prevent outliers from skewing analyses—to automatically detect anomalies that could corrupt results.
Desktop-Systems
| Windows® | Mac® OS X | Linux® | ||
| Further Requirements | Super VGA-Monitor (800x600) or higher Resolution For a connection to SPSS Statistics Base Server, you will need a network adapter for TCP/IP-Network protocol Internet Explorer |
Super VGA-Monitor (800x600) or higher Resolution Webbrowser: Mozilla Firefox |
Super VGA-Monitor (800x600) or higher Resolution Webbrowser: Mozilla Firefox |
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| Operating System | Windows XP, Vista, 7, 8, 10 (32-/64-Bit) | Mac OS X 10.7 (32-/64-Bit), Mac OS X 10.8 (only 64-Bit!) | Debian 6.0 x86-64, Red Hat Enterprise Linux (RHEL) 5 Desktop Editions, Red Hat Enterprise Linux (RHEL) Client 6 x86-64:
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| Min. CPU | Intel or AMD-x86-Processor 1 GHz or better | Intel-Processor (32-/64-Bit) | Intel or AMD-x86-Processor 1 GHz or better | |
| Min. RAM | 1 GB RAM + | 1 GB RAM + | 1 GB RAM + | |
| Festplattenplatz | Min. 800 MB | Min. 800 MB | Min. 800 MB |
Server-Systems
| SPSS Statistics Server | |
| Further Requirements | For Windows-, Solaris-PC's: Network adapter with TCP/IP-Network protocol For System z-PC's: OSA-Express3 10 Gigabit Ethernet, OSA-Express3 Gigabit Ethernet, OSA-Express3 1000BASE-T Ethernet |
| Operating System | Windows Server 2008 or 2012 (64-Bit), Red Hat Enterprise Linux 5 (32-/64-Bit), SUSE Linux Enterprise Server 10 and 11 (32-/64-Bit) Details can be found in the the following PDF-document:System Requirements SPSS Statistics Server 22 |
| Min. CPU | |
| Min. RAM | 4 GB RAM + |
| Disk Space | ca. 1 GB for the installation. Double the amount may be needed. |
Automate the data preparation process
- Prepare data in a single step.
- Detect and correct quality errors and impute missing values.
- Quickly determine which data to use in your analysis.
- View easy-to-understand reports with recommendations and visualizations.
Validate data without manual checks
- Ensure consistency of data validation from project to project.
- Apply validation rules based on each variable’s measure level (categorical or continuous).
- Receive reports of invalid cases, rule violation summaries and number of cases affected.
- Remove or correct suspicious cases at your discretion before analysis.
Prevent outliers from skewing analyses
- Search for unusual cases based upon deviations from similar cases.
- Flag outliers by creating a new variable.
- Examine unusual cases to determine if they should be included in analyses.