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SAS Visual Statistics
Cary, North Carolina, USA
What it is
SAS Visual Statistics is a statistical modeling and visualization product on SAS Viya, for moving from raw data toward strategic decisions. Users can build models visually, change variables, remove outliers, and see how those adjustments affect outcomes. Multiple people can work with the same data model. Listed techniques include clustering, decision trees, linear and logistic regression, generalized linear and additive models, and nonparametric logistic regression. It imports SAS data sets, Excel files, delimited text, CSV, DTA, JMP, Parquet, and SPSS data. Python, R, and SAS can be used within the environment; programmers can also access the CAS server through SAS Studio, PROC CAS, Lua, Java, and REST APIs. Python users can move Pandas DataFrames to and from CAS for work with tools such as matplotlib, Plotly, and Bokeh. CAS processes data in memory across cluster nodes. The product is cloud-deployed and available as self-hosted or web software. It is paid, pricing is on request, and a free trial is available; there is no free plan.
For and against
For
- Visual model building with immediate outcome feedback
- Supports collaboration on shared data models
- Imports a broad range of listed formats
- Python, R, and SAS are supported
- Free trial available
Against
- No free plan
- Pricing is available on request
The verdict
SAS Visual Statistics combines visual modeling, statistical methods, and programming access within SAS Viya. Consider its paid, quote-based pricing and the available free trial when assessing fit.
Who it suits
It suits teams building statistical models collaboratively, including users who work in Python, R, or SAS. It may also fit organizations needing governance, lineage, and auditability across data sources and platforms.
Plans and prices
SAS Visual Statistics
Runs on SAS Viya · enterprise-scale statistical modeling
Read 30 Sep 2026 · sas.com
On the record
- Collaboration
- Multiple users can interact with the same data model to collaborate on model development.sas.com · read 30 Sep 2026
- Data import formats
- SAS data sets, Excel (XLS/XLSX), delimited text files, CSV, DTA, JMP, Parquet, SPSSsas.com · read 24 Sep 2026
- Deployment
- SAS Viya supports cloud, hybrid and on-premises deployment environments.sas.com · read 30 Sep 2026
- Governance
- SAS Viya provides governance, lineage and auditability across data sources and platforms.sas.com · read 30 Sep 2026
- Language support
- The product supports using Python, R or SAS interchangeably in a unified environment.sas.com · read 30 Sep 2026
- Licensing limit
- SAS Visual Analytics and SAS Visual Statistics are designed to work together but are separately licensed.support.sas.com · read 30 Sep 2026
- Model building
- Users can visually build models, adjust variables, remove outliers and immediately see how changes affect outcomes.sas.com · read 30 Sep 2026
- Product components
- The technology includes SAS Visual Analytics, SAS/GRAPH and SAS/STAT.support.sas.com · read 30 Sep 2026
- Programming access
- Programmers can access the SAS Viya CAS server through SAS Studio, PROC CAS, Python, R, Lua, Java and public REST APIs.sas.com · read 30 Sep 2026
- Purpose
- SAS Visual Statistics on SAS Viya provides interactive statistical visualizations and analytical modeling from raw data to strategic action.sas.com · read 30 Sep 2026
- Python integration
- Native Python Pandas DataFrame integration lets programmers upload DataFrames to CAS and retrieve CAS results as DataFrames for use with packages such as Pandas, matplotlib, Plotly and Bokeh.sas.com · read 30 Sep 2026
- Regression models
- Yessas.com · read 24 Sep 2026
- Runtime
- SAS Cloud Analytic Services processes data in memory and distributes processing across nodes in a cluster.sas.com · read 30 Sep 2026
- Scripting support
- Yessas.com · read 24 Sep 2026
- Security and compliance
- SAS Trust Center covers security, privacy, compliance, quality, AI governance and digital sovereignty.sas.com · read 30 Sep 2026
- Statistical techniques
- The feature list includes clustering, decision trees, linear regression, logistic regression, generalized linear models, generalized additive models and nonparametric logistic regression.sas.com · read 30 Sep 2026
- Statistical tests
- Yessas.com · read 24 Sep 2026
- Support
- SAS provides Visual Statistics documentation, tutorials, communities and technical support through its support site.support.sas.com · read 30 Sep 2026
