SAS Visual Statistics

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What SAS Visual Statistics is

SAS Visual Statistics is a statistical modeling and visualization product running on SAS Viya, taking users from raw data analysis toward strategic action. Users can build models visually, adjust variables, remove outliers, and immediately see how changes affect outcomes. Multiple users can work with the same data model, and Python, R, and SAS are supported in one environment. Listed techniques include clustering, decision trees, linear and logistic regression, generalized linear and additive models, and nonparametric logistic regression. Imports include SAS data sets, Excel, delimited text, CSV, DTA, JMP, Parquet, and SPSS. Programmers can access the SAS Viya CAS server through SAS Studio, PROC CAS, Python, R, Lua, Java, and public REST APIs. Native Pandas DataFrame integration supports transfers to CAS and retrieval of results for tools such as Pandas, matplotlib, Plotly, and Bokeh. SAS Cloud Analytic Services processes data in memory across cluster nodes, while SAS Viya provides governance, lineage, and auditability.

Who it suits

It suits analysts and programmers building statistical models from varied data formats. Collaborative teams can use visual modeling while accessing Python, R, SAS, and CAS programming interfaces.

What it does well

Visual model building and adjustment
Supports Python, R, and SAS
Broad statistical technique selection
Imports many data formats
Distributed in-memory CAS processing

What to know first

Pricing is available on request
No free plan listed
Runs on SAS Viya

Plans

Plan	Billed and limits	Price
SAS Visual Statistics	Runs on SAS Viya · enterprise-scale statistical modeling	On request

As sas.com lists them, read 30 Sept 2026. The maker's own page has the final word.

Getting started

Visit the SAS Visual Statistics website.
Start the listed free trial.
Choose a self-hosted or web access route.
Use the cloud deployment option listed for the product.
Bring in data from a supported import format.

Verdict

SAS Visual Statistics combines interactive modeling, collaboration, broad imports, and multiple programming interfaces. It is positioned for enterprise-scale work on SAS Viya, with a free trial listed but no free plan.

Questions

How is SAS Visual Statistics priced?

It is paid, and pricing is available on request. No free plan is offered, but a free trial is listed.

Which platforms and deployment options are available?

The listed platforms are self-hosted and web. Cloud is listed as a deployment option.

Which statistical methods does it include?

Listed methods include clustering, decision trees, linear and logistic regression, generalized linear and additive models, and nonparametric logistic regression.

Can programmers use Python?

Yes. Programmers can access CAS through Python, and native Pandas DataFrame integration supports sending DataFrames to CAS and retrieving results.

What data formats can it import?

Supported formats include SAS data sets, Excel XLS/XLSX, delimited text, CSV, DTA, JMP, Parquet and SPSS.

What languages are supported?

The environment supports using Python, R or SAS interchangeably. CAS access is also listed through Lua, Java, SAS Studio, PROC CAS and public REST APIs.

Facts from SAS Visual Statistics's own pages

Collaboration: Multiple users can interact with the same data model to collaborate on model development. · sas.com, 30 Sept 2026
Data import formats: SAS data sets, Excel (XLS/XLSX), delimited text files, CSV, DTA, JMP, Parquet, SPSS · sas.com, 24 Sept 2026
Deployment: SAS Viya supports cloud, hybrid and on-premises deployment environments. · sas.com, 30 Sept 2026
Founded: 1976 · sas.com, 28 Sept 2026
Governance: SAS Viya provides governance, lineage and auditability across data sources and platforms. · sas.com, 30 Sept 2026
Headquarters: Cary, North Carolina, USA · sas.com, 28 Sept 2026
Language support: The product supports using Python, R or SAS interchangeably in a unified environment. · sas.com, 30 Sept 2026
Licensing limit: SAS Visual Analytics and SAS Visual Statistics are designed to work together but are separately licensed. · support.sas.com, 30 Sept 2026
Model building: Users can visually build models, adjust variables, remove outliers and immediately see how changes affect outcomes. · sas.com, 30 Sept 2026
Product components: The technology includes SAS Visual Analytics, SAS/GRAPH and SAS/STAT. · support.sas.com, 30 Sept 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, 30 Sept 2026
Purpose: SAS Visual Statistics on SAS Viya provides interactive statistical visualizations and analytical modeling from raw data to strategic action. · sas.com, 30 Sept 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, 30 Sept 2026
Regression models: Yes · sas.com, 24 Sept 2026
Runtime: SAS Cloud Analytic Services processes data in memory and distributes processing across nodes in a cluster. · sas.com, 30 Sept 2026
Scripting support: Yes · sas.com, 24 Sept 2026
Security and compliance: SAS Trust Center covers security, privacy, compliance, quality, AI governance and digital sovereignty. · sas.com, 30 Sept 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, 30 Sept 2026
Statistical tests: Yes · sas.com, 24 Sept 2026
Support: SAS provides Visual Statistics documentation, tutorials, communities and technical support through its support site. · support.sas.com, 30 Sept 2026