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IBM® SPSS® Categories provides you with all the tools you need to obtain clear insight into complex categorical and numeric data, as well as high-dimensional data.
Use IBM SPSS Categories to understand which characteristics consumers relate most closely to your brand, or to determine customer perception of your products compared to other products you or your competitors offer.
- Discover underlying relationships through perceptual maps, bi plots and tri plots
- Work with and understand nominal (e.g. salary) and ordinal (e.g. education level) data with procedures similar to conventional regression, principal components and canonical correlation to predict outcomes and reveal relationships
- Visually interpret datasets and see how rows and columns relate in large tables of scores, counts, ratings, rankings or similarities
- Deal with non-normal residuals in numeric data or nonlinear relationships between predictor variables (e.g. customer or product attributes) and the outcome variable (e.g. purchase/non-purchase)
- Use Ridge Regression, the Lasso, the Elastic Net, variable selection and model selection for both numeric and categorical data
- Operating systems supported: Windows, Mac, Linux
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