SAS Applications and Loops and Decision Making

Last updated on Dec 13 2021
Vaidehi Reddy

Table of Contents

SAS Applications and Loops and Decision Making

Multivariate Analysis | Business Intelligence |Predictive Analytics | Clinical Research and Forecasting

SAS initially designed to complete statistical analysis but now it is also used for analytics. It is mainly used for processing complex raw data into meaningful information. This meaningful information helps an institution to make better decisions. It is also helpful to us to compile, analyze and extract data from various resources. It does the processing, cleaning, digging, and packaging for statistical people.

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design

In general, the SAS tool is playing a crucial role in statistical analysis and decision-making. But here we are presenting some specific fields that primarily use the SAS software.

So, let’s proceed ….

  1. Multivariate Analysis

Multivariate Analysis is used to analyze multiple elements or variables at the same time. SAS investigate the relationship among various variables without categorizing them as dependent or independent. It uses different studies that reflect the effect of variable factors on a single result. It includes analysis of factor, bivariate, and many regressions.

  1. Business Intelligence

Business intelligence is associated with the technologies and strategies that are used by any enterprise for data analysis of business information. Analysis of data helps the senior team by providing the scope of decision making. It also provides intuition regarding current, predictive and historical views of business working.

  1. Predictive Analytics

Predictive analytics uses statistical algorithms, data and machine learning to identify the possibility of future outcomes based on historical data. As the name suggests, Predictive analytics uses already available data for future prediction. There are various statistical techniques to draw inferences for the prediction.

For example, a product of a company continues the trend in sales over the last few years, by analyzing the sales data of the product, it is predicted that the demand of the product will not change. Now, if another product of the same company continuous the sales trend of changing demand every month, by analyzing all the factors such as reason behind variation, conclusions, customer feedback process, It is predicted that there is high risk in the product. In the case of such products, historical data cannot be used for sales prediction.

  1. Clinical Research and Forecasting

In the field of medicine, there are revolutionary changes due to SAS. It is used in the diagnostic decision-making system. SAS helps in critical decision making such as in diagnosis and prognosis, both are vital elements of medicine and must be precise and accurate. SAS is used to see if patients are at risk or not. SAS tool is even used in finding little chances which can improve the condition of a patient.

Summary

In all the above-mentioned applications, SAS uses statistics to analyze the data and produce the results. Its specific application produces accurate results in various fields. In the multivariate analysis, it analyzes multiple elements or variables at the same time.

So, the overall conclusion is that SAS is the pioneer in data analytics with its vast area of applications. We explained all the applications very clearly but if you still have any query so, feel free to ask in our contact section.

SAS – Loops

You may encounter situations, when a block of code needs to be executed several number of times. In general, statements are executed sequentially − The first statement in a function is executed first, followed by the second, and so on. But when you want the same set of statements to be executed again and again, we need the help of Loops.

In SAS looping is done by using DO statement. It is also called DO Loop. Given below is the general form of a DO loop statements in SAS.

Flow Diagram

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Flow Diagram

Following are the types of DO loops in SAS.

Sr.No. Loop Type & Description
1 DO Index.

The loop continues from the start value till the stop value of the index variable.

2 DO WHILE.

The loop continues till the while condition becomes false.

3 DO UNTIL.

The loop continues till the UNTIL condition becomes True.

SAS – Decision Making

Decision making structures require the programmer to specify one or more conditions to be evaluated or tested by the program, along with a statement or statements to be executed if the condition is determined to be true, and optionally, other statements to be executed if the condition is determined to be false.

Following is the general form of a typical decision-making structure found in most of the programming languages −

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Decision Making

SAS provides following types of decision-making statements. Click the following links to check their detail.

Sr.No. Statement Type & Description
1 IF Statement.

An if statement consists of a condition. If the condition is true then the specific data is fetched.

2 IF-THEN-ELSE Statement.

An if statement followed by else statement, which executes when the boolean condition is false.

3 IF-THEN-ELSE-IF Statement.

An if statement followed by else statement, which is again followed by another pair of IF-THEN Statement.

4 IF-THEN-DELETE Statement.

An if statement consists of acondition, which when true deletes the specific data from the observations.

So, this brings us to the end of blog. This Tecklearn ‘SAS Applications and Loops and Decision Making’ blog helps you with commonly asked questions if you are looking out for a job in SAS. If you wish to learn SAS and build a career in Data Analytics domain, then check out our interactive, SAS Training for SAS BASE Certification Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

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SAS Certification Training is intended to make you an expert in SAS programming and Analytics. You will be able to analyse and write SAS code for real problems, learn to use SAS to work with datasets, perform advanced statistical techniques to obtain optimized results with Advanced SAS programming.  In this SAS online training course, you will also learn SAS macros, Machine Learning, PROC SQL, procedure, statistical analysis and decision trees. You will also work on real-life projects and prepare for the SAS Certified Base Programmer certification exam. Upon the completion of this SAS online training, you will have enough proficiency in reading spreadsheets, databases, using SAS functions for manipulating this data and debugging it.

Why Should you take SAS Training?

  • The average salary for a Business Intelligence Developer skilled in SAS is $100k (PayScale salary data)
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  • SAS is a Leader in 2017 Gartner Magic Quadrant for Data Science Platform.

What you will Learn in this Course?

Introduction to SAS 

  • Introduction to SAS
  • Installation of SAS
  • SAS windows
  • Working with data sets
  • Walk through of SAS windows like output, search, editor etc

SAS Enterprise Guide

  • How to read and subset the data sets
  • SET Statement
  • Infile and Infile Options
  • SAS Format -Format Vs Informat

SAS Operators and Functions

  • Using Variables
  • Defining and using KEEP and DROP statements
  • Output Statement
  • Retain Statement
  • SUM Statement

Advanced SAS Procedures

  • PROC Import
  • PROC Print
  • Data Step Vs Proc
  • Deep Dive into Proc

Customizing Datasets

  • SAS Arrays
  • Useful SAS Functions
  • PUT/INPUT Functions
  • Date/Time Functions
  • Numeric Functions
  • Character Functions

SAS Format and SAS Graphs

  • SAS Format statements
  • Understanding PROC GCHART, various graphs, bar charts: pie, bar

Sorting Techniques

  • NODUP
  • NODUKEY
  • NODUP Vs NODUKEY

Data Transformation Function

  • Character functions, numeric functions and converting variable type
  • Use functions in data transformation

Deep Dive into SAS Procedures, Functions and Statements

  • Find Function
  • Scan Function
  • MERGE Statement
  • BY Statement
  • Joins
  • Procedures Vs Function
  • Where Vs If
  • What is Missover
  • NMISS
  • CMISS

PROC SQL

  • SELECT statement
  • Sorting of Data
  • CASE expression
  • Other SELECT statement clauses
  • JOINS and UNIONS

Using SAS Macros

  • Benefits of SAS Macros
  • Macro Variables
  • Macro Code Constituents and Macro Step
  • Positional Parameters to Macros

Got a question for us? Please mention it in the comments section and we will get back to you.

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