What it can do for your business
Diagnose missing data problems quickly
Examine data from different angles using diagnostic reports. Determine the extent of missing data and any extreme values with a case-by-case overview.
Replace data values with estimates
Use a multiple imputation model to understand patterns and replace values; it helps you choose the most suitable method. Use linear regression or expectation maximization algorithms among others.
Gain insight and improve data management
Display missing data for all cases and variables. Determine differences between missing and non-missing groups. Assess how missing data of a variable relates to missing data of another.
- Multiple imputation procedure
- Multiple imputation analysis
- Summary of missing values
- Variable summary and missing value patterns