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.
SPSS Data Preparation Screenshots
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.
SPSS Data Preparation resources