
Discover how SAS libraries work by contrasting permanent libraries and temporary work libraries, and learn to create a permanent library with a libname statement to store datasets across sessions.
Explore metadata structures of a SAS dataset, including variables, data types, formats and informats, and learn how currencies, dates, and lengths impact data entry and reading.
Learn to use the SAS print procedure to display only selected variables from a data set, such as name, height, and weight.
Learn to use additional keywords with proc contents to tailor SAS dataset reports, suppressing itemized results and displaying directory information, with short and position chart options.
Explore pattern matching in SAS using the where clause to filter data by contains, starts with, ends with, and logical or for words like chocolate or charcoal, creating new datasets.
Learn how to create and refine cross-tabulations in SAS by using additional keywords, selecting fiscal year and quarter by category, and displaying frequency and percent with the list keyword, charts.
This lecture introduces the basics of the proc tabulate technique in SAS. It demonstrates creating tables from a numeric measure using category and subcategory variables with sum or mean.
Explore descriptive statistics in SAS by extracting information from numeric variables in a dataset, including mean, maximum, minimum, and observations, using three SAS procedures.
Learn how to export SAS data files to csv using server-based folders, create a folder for export, specify the csv extension, and download the file for reuse.
The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on SAS Studio to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with SAS along with the data manipulation, extraction, merging, sql and macros. The lessons in this course are meant to be taken in order, as each lesson builds up on knowledge, and may mention some important ideas/concepts. If you skip videos, it may appear that some aspects are not being explained. For example, if you skip the import.txt lecture because you only care about importing .csv files, you may miss explanations about certain lines of codes.This series of tutorials will help you understand the basic and advanced of SAS Programming on SAS Studio environment. The topics that we will cover in this course are as follows:
Introduction to SAS
The Procedure step in SAS
Subsetting in SAS
Sorting and finding the unique values in SAS
Table creation in SAS
Descriptive statistics in SAS
Exporting and Importing datafiles in SAS
Formats and Functions in SAS
Appending and Merging of data sets in SAS
Arrays and reading raw files in SAS
Structured Query Language (SQL) in SAS using Proc SQL
Data Manipulation and Joining using Proc SQL
SAS Macros