This course focuses on accessing data on the SAS LASR Analytic Server and performing exploratory analysis and preparation. Topics include starting the SAS LASR Analytic Server, loading data onto the LASR Analytic Server, and manipulating data on the LASR Analytic Server using the IMSTAT procedure. IMSTAT topics include deriving new temporary and permanent tables and columns as well as calculating summary statistics such as means, frequency, and percentiles. Creating filters and joins on in-memory data are also discussed.
Lernen Sie, wie Sie / Learn how to
- start up a SAS LASR Analytic Server
- load tables into memory on the LASR Analytic Server
- process in-memory tables with PROC LASR and PROC IMSTAT
- access data more efficiently via intelligent partitioning
- derive new temporary and permanent tables and variables
- create filters and joins on in-memory data
- export ODS result tables for client-side graphic development
- produce descriptive statistics including counts, percentiles, and means
- create multidimensional summaries including cross-tabulations and contingency tables
- derive kernel density estimates using normal functions.
Zielgruppe / Who should attend
Experienced programmers who need to learn the syntax and functionality of the SAS LASR Analytic Server and the IMSTAT procedure
Verfügbare Schulungsformen / Formats available | Dauer (kann variieren, Details s. Terminliste) | | |
Präsenzkurs: |
2.0 Tage | | |
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Before attending this course, you should have experience writing SAS programs or working with other languages such as R.
In diesem Kurs wird mit folgenden Software Modulen gearbeitet / This course addresses SAS In-Memory Statistics Software
The software version addressed is SAS LASR Analytics Server 2.5.
