SAS® Visual Statistics

Explore data and build or adjust predictive analytical models with this solution running in SAS® Viya®.  Data scientists, statisticians and analysts can collaborate and iteratively refine models for each segment or group to make decisions based on accurate insights. The technology includes SAS® Visual Analytics, SAS/GRAPH®, and SAS/STAT®.

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The most recent release for SAS Viya is SAS Visual Statistics 8.5. 
The most recent release for SAS 9.4 is SAS Visual Statistics 7.5.

What's New in 8.5

Graphical User Interface

  • A confusion matrix that displays the classification results for categorical response models is available.
  • Several new assessment statistics are available for all models of the same type.
  • You can now derive predicted items from generalized additive models and nonparametric logistic regression models.
  • You can now export and save generalized additive models and nonparametric logistic regression models.
  • In the cluster object, a details table has been added for the parallel coordinates plot.
  • The Bin method property that specifies the way that measure predictors are binned has been added to the decision tree object.
  • There is a new option for autotuning decision tree models: Leaf size.
  • In the settings, you can now specify to automatically convert measure variables with two levels to category variables when a data set is first opened in SAS Visual Analytics.
  • In the settings, you can now set a default assessment statistic to use in both continuous and classification models.

Procedures and Actions

  • You can now perform generalized additive model selection by using PROC GAMSELECT or the gamSelect action in the gam action set.
  • You can now perform nonnegative matrix factorization by using PROC NMF or the nmf action in the nmf action set.
  • To perform simulation from systems of distributions defined by input moments, you can now use PROC SIMSYSTEM or the simsk action in the simSystem action set.
  • You can now perform sparse linear regression with sandwich variance estimation by using PROC SANDWICH or the sparseReg action in the sandwich action set.
  • To fit a nonlinear model that you provide as a CMP program, you can now use the nlmod action in the nonlinear action set.
  • You can now perform elastic net selection by using PROC REGSELECT or the glm action in the regression action set.
  • A factor analytic covariance type is now available in PROC MBC and the mbcfit action in the mbc action set.
  • You can now perform postfit scoring by using PROC LMIXED with PROC ASTORE.

What's New in 7.5

  • The user interface has been rewritten in HTML5. Previously, many SAS applications and SAS solutions used the Adobe Flash Player to provide interactive user interfaces. Adobe announced that it intends to end support for Flash technology and will cease to update and distribute the Flash Player at the end of 2020. Browser vendors will disable Flash by default in 2019. For more information about Adobe Flash end-of-life, see SAS Software and Its Use of the Adobe Flash Player.
  • The SAS® Visual Analytics Explorer (the explorer) and the SAS® Visual Analytics Designer (the designer) interfaces have been combined into a single interface.
  • You can select Duplicate as to duplicate an object and change its type at the same time.
  • You can create new objects from data items that are selected in other objects.
  • You can export the score code of the champion model.
  • New detail tables relating to model information, lift, ROC, and assessment statistics are available.
  • Model Comparison objects are saved in the reports.
  • New settings and style options are available.

Get Started

Ready to create and apply powerful statistical models? These resources are a good place to start.

Watch video

Learn about the SAS Visual Statistics interface and its main features.

Learn the basics

Learn how to get started with SAS Visual Statistics with these tutorials:

Stay connected

Be a part of the community for SAS  Visual Statistics. We offer a variety of ways for you to interact with users and experts.

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SAS Visual Statistics Blogs & Communities

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