SAS Visual Statistics

At a glance

• Editor score
  Not yet scored
• Pricing
  Pricing on request
• Best for
  Enterprise visual modeling and statistical exploration
• Deployment
  Cloud
• Facts checked
  24 Sep 2026

• Where it wins

  • Combines charts, filtering and outlier detection with interactive modeling.
  • Covers clustering, decision trees, regression, and generalized models.
  • Exports scoring code and supports several programming languages and APIs.

• Where it doesn't

  • Pricing is available by request rather than through published product plans.
  • Cloud deployment on SAS Viya may not suit teams seeking other deployment options.
  • Its breadth may be more than needed for teams focused on a narrow analysis task.

Our verdict on SAS Visual Statistics

SAS Visual Statistics brings visual exploration and statistical modeling together on the SAS Viya platform. It is aimed at data scientists, statisticians and analysts in mid-market and enterprise organizations who need to examine data, develop descriptive or predictive models, and assess results. Exploration includes charts, filtering and outlier detection; modeling spans clustering, decision trees, linear and logistic regression, generalized linear models and generalized additive models. The blend of interactive and programming interfaces makes it relevant to teams that want both visual model refinement and code-based workflows.

The modeling range is a central strength. Clustering options include K-means, k-modes and k-prototypes, while interactive classification and regression trees sit alongside regression with variable selection and diagnostics. Model comparison and assessment statistics include ROC and lift charts, and the product can export model scoring code. That progression—from exploration through assessment to scoring—suits teams working on predictive workflows rather than only descriptive analysis. Organizations focused on a smaller, single-purpose statistical task may find this breadth unnecessary.

Programming and ecosystem fit are also important considerations. Access includes SAS procedures and CAS actions, as well as Python, R, Lua, Java and REST APIs; named integrations include SAS Studio, SAS/STAT and SAS/GRAPH. Import formats include SAS data sets, Excel, delimited text, CSV, DTA, JMP, Parquet and SPSS. Deployment is cloud-based, and support channels include community, documentation and tickets. According to the vendor's pricing approach, buyers request a quote rather than selecting a published product plan. Choose Visual Statistics if your team wants SAS Viya-based visual exploration with substantial modeling and programming options; consider alternatives if you need a non-cloud deployment or straightforward public pricing.

SAS Visual Statistics pricing

SAS Visual Statistics fact sheet

SAS Visual Statistics integrations

SAS Visual Statistics lists 7 integrations on its own site.

• Python
• R
• Lua
• Java
• SAS Studio
• SAS/STAT
• SAS/GRAPH

Alternatives to SAS Visual Statistics

• RRA free, programmable environment for statistical analysis, modeling, visualization, and data import.—
• SStataA broad, scriptable desktop environment for professional and reproducible applied analysis.8.0
• IBM SPSS StatisticsA broad desktop statistics suite with testing, modeling, forecasting, reporting, and R/Python integration.8.0

See all SAS Visual Statistics alternatives →

Featured on iTechGuides

SAS Visual Statistics is listed in our Statistical Analysis Software directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/sas-visual-statistics/"><img src="https://www.itechguides.com/best/badge/sas-visual-statistics.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Guides on statistical analysis software

• 8 Best Free and Open Source Linux Statistical Analysis ToolsAug 2026

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. It never changes a score or a verdict. How we rank.