SAS Online Training

What is SAS?

        SAS (Statistical Analysis System) is develop by SAS institute for advance analytics.SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated. SAS was further developed in the 1980s and 1990s with the addition of new statistical procedures, additional components and the introduction of JMP. A point-and-click interface was added in version 9 in 2004.  A social media analytics product was added in 2010.

Development of SAS:

SAS is a open  architecture it was re-design in SAS76.It allowed for compilers and procedures. The input and infile statement was improved by IBM frame work. SAS79 added support for the CMS operating system and introduce the data set procedure SAS version6 was used in 1960.It was  was available on a wider range of operating systems, including Macintosh, OS/2, Silicon Graphics, and Primos.

    

 Some of the points about SAS: 

    1.SAS introduced new features through dot-releases. From 6.06 to 6.09, a user interface based on the windows paradigm was introduced and support for SQL was added.

     2.Version 7 introduced the Output Delivery System (ODS) and an improved text editor.

    3. A free version was introduced for students in 2010

    4.  SAS Social Media Analytics, a tool for social media monitoring, engagement and sentiment analysis, was also released that year.

     5.Version 7 introduced the Output Delivery System (ODS) and an improved text editor. ODS was improved upon in successive releases.

SAS Software product:

SAS/ACCESS

Base SAS

SAS/CONNECT

DataFlux Authentication Server 

SAS Energy Forecasting

Conclusion:

 As we conclude this topic SAS is best one to used in both business and software process. As a conclusion both to this chapter and the book, it is worth noting that the world of business statistics is a lifelong journey of learning. Having read this book, the interested reader should transition to one of the many intermediate texts that deal with similar content and techniques but in greater detail.Although the central techniques of classical statistics develop slowly, there is rapid development in the business data space, analytics and storage technologies, processing methods like in-memory processing,and the soft skill required for business and analytics

SASONLINE TRAINING:

     SAS is a leader in business analytics. Through innovative analytics it caters to business intelligence and data management software and services. SAS transforms data into insight which can give a fresh perspective on business.

UNDERSTANDING TERMS IN A SAS DATA STRUCTURE

     DATA VALUE: The basic unit of information are:

1.     main types of variable types: numeric and character 

2.     OBSERVATION: All the data values associated with a particular record. 

3.     DATA SET: It is a collection of observation

RULES FOR SAS NAMES

1.SAS variable/variable names must be between 1 and 32 characters long. 

2.The first character must be a letter or an underscore. 

3.Characters after the first may be letters, digits or underscores. 

RULES FOR SAS STATEMENTS

1.     SAS statements may begin in any column of the line. 

2.     SAS statements end with a semicolon (;). 

3.     Some SAS statements consist of more than one line of commands.  

4.     A SAS statement may continue over more than one line. 

There are two major building blocks in SAS:

      1.DATA step 

     2.SAS built in procedures

DATA STEP:

In a Data step the following can be performed.

1.     defining the variables 

2.     read input files

3.     assign values to the variables, 

4.     creating new variables,

5.     merging two data sets 

6.     formatting and labeling variables

 SOME IMPORTANT SAS FUNCTIONS

            This section is for advance reading. For user’s benefit some important SAS functions are mentioned below which can be used in a data step.

         1. DATE (): produces the current date as SAS date, value representing the number of days between January 1, 1960 and the current date.        

      

        2. DAY (DATE): It returns an Integer representing the day of the month from SAS DATE value. E.g. Day1=DAY(Today_Date); The value of Day1 will be

         3. MONTH (DATE): It returns the numeric value representing the month from SAS DATE value. E.g. Month1=MONTH(Today_Date); The value of Month1 will be 8.

         4. YEAR (DATE): It returns the 4 digits numeric value representing the year from SAS DATE value. E.g. Year1=YEAR(Today_Date); The value of Year1 will be 2010.

         5. LENGTH(argument): Calculate length of a variable or a constant. Default length of numeric variable is 8. E.g. String2='Rocky Hill'; Len1=LENGTH(String2); The value of Len1 will be 10 which is the length of the string ‘Rocky Hill’.

          6. SUM(variable-1, variable-2, ….,variable-n): Calculates sum of non-missing arguments

SAS ONLINE TRAINING:

        SAS is a leader in business analytics. Through innovative analytics it caters to business intelligence and data management software and services. SAS transforms data into insight which can give a fresh perspective on business.

UNDERSTANDING TERMS IN A SAS DATA STRUCTURE

     DATA VALUE: The basic unit of information are:

1.     main types of variable types: numeric and character 

2.     OBSERVATION: All the data values associated with a particular record. 

3.     DATA SET: It is a collection of observation

RULES FOR SAS NAMES

1.SAS variable/variable names must be between 1 and 32 characters long. 

2.The first character must be a letter or an underscore. 

3.Characters after the first may be letters, digits or underscores. 

RULES FOR SAS STATEMENTS

1.     SAS statements may begin in any column of the line. 

2.     SAS statements end with a semicolon (;). 

3.     Some SAS statements consist of more than one line of commands.  

4.     A SAS statement may continue over more than one line. 

There are two major building blocks in SAS:

      1.DATA step 

     2.SAS built in procedures

DATA STEP:

In a Data step the following can be performed.

1.     defining the variables 

2.     read input files

3.     assign values to the variables, 

4.     creating new variables,

5.     merging two data sets 

6.     formatting and labeling variables

 SOME IMPORTANT SAS FUNCTIONS

            This section is for advance reading. For user’s benefit some important SAS functions are mentioned below which can be used in a data step.

         1. DATE (): produces the current date as SAS date, value representing the number of days between January 1, 1960 and the current date.

              

        2. DAY (DATE): It returns an Integer representing the day of the month from SAS DATE value. E.g. Day1=DAY(Today_Date); The value of Day1 will be

         3. MONTH (DATE): It returns the numeric value representing the month from SAS DATE value. E.g. Month1=MONTH(Today_Date); The value of Month1 will be 8.

         4. YEAR (DATE): It returns the 4 digits numeric value representing the year from SAS DATE value. E.g. Year1=YEAR(Today_Date); The value of Year1 will be 2010.

         5. LENGTH(argument): Calculate length of a variable or a constant. Default length of numeric variable is 8. E.g. String2='Rocky Hill'; Len1=LENGTH(String2); The value of Len1 will be 10 which is the length of the string ‘Rocky Hill’.