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Sas 9.1 Free Download Full Version For Windows 7



How to Download and Install SAS 9.1 for Free on Windows 7




If you are looking for a powerful and versatile statistical software that can handle large and complex data sets, you might want to consider SAS 9.1. SAS is a leader in the field of analytics, artificial intelligence and data management, and it offers a wide range of solutions for various industries and domains. However, SAS 9.1 is not a free software, and you normally need to purchase a license or subscription to use it legally.




Sas 9.1 Free Download Full Version For Windows 7



Fortunately, there is a way to download and install SAS 9.1 for free on Windows 7 if you are an academic user or a learner who wants to practice your skills with SAS. This is possible thanks to the SAS OnDemand for Academics program, which provides free access to SAS software via the cloud for teaching and learning purposes.


In this article, you will learn what SAS 9.1 is, what are its main components and functions, and how you can download and install it for free on Windows 7. You will also see some examples of how to use SAS 9.1 to perform basic tasks such as importing data, creating reports, and running statistical procedures.


What is SAS 9.1?




SAS 9.1 is a software suite that consists of several integrated products that enable you to perform data management, analysis, and presentation tasks. Some of the products included in SAS 9.1 are:


  • Base SAS: The core component of SAS that provides the basic functionality for data access, manipulation, transformation, and reporting.



  • SAS/STAT: A product that provides a comprehensive set of statistical procedures for descriptive, inferential, and predictive analysis.



  • SAS/GRAPH: A product that allows you to create high-quality graphs and charts to visualize your data.



  • SAS/ETS: A product that provides tools for econometric and time series analysis.



  • SAS/IML: A product that enables you to perform matrix computations and write your own custom functions and algorithms.



  • SAS/ACCESS: A product that enables you to connect to various data sources such as databases, spreadsheets, and web services.



  • SAS/SQL: A product that allows you to use SQL statements to query and manipulate data in SAS or other data sources.



  • SAS/MACRO: A product that allows you to automate repetitive tasks and create dynamic programs using macro variables and macro functions.



SAS 9.1 also provides a graphical user interface (GUI) called SAS Enterprise Guide that simplifies the use of SAS by providing point-and-click features, wizards, and menus. You can also use SAS Enterprise Guide to access other SAS products such as SAS Enterprise Miner, SAS Forecast Studio, and SAS Text Miner.


How to Download and Install SAS 9.1 for Free on Windows 7?




To download and install SAS 9.1 for free on Windows 7 using the SAS OnDemand for Academics program, you need to follow these steps:


  • Go to the SAS OnDemand for Academics website and click on the "Register Now" button.



  • Create an account using your academic email address (e.g., .edu or .ac) and verify your email address.



  • Log in to your account and click on the "Software" tab.



  • Select "SAS Enterprise Guide" from the list of available software products.



  • Click on the "Download" button and save the file "SODA_EG_7_15.exe" on your computer.



  • Run the file "SODA_EG_7_15.exe" and follow the instructions to install SAS Enterprise Guide on your computer.



  • Launch SAS Enterprise Guide from your Start menu or desktop shortcut.



  • Select "SAS OnDemand for Academics" from the list of available servers.



  • Enter your username and password that you created in step 2.



  • Click on the "Connect" button and wait for the connection to be established.



Congratulations!


How to Use SAS 9.1?




Once you have downloaded and installed SAS 9.1 for free on Windows 7, you can start using it to perform various data analysis tasks. There are different ways to use SAS 9.1, depending on your preference and skill level. You can use:


  • The SAS windowing environment, which consists of several windows that allow you to enter and edit SAS programs, view SAS output and log, browse SAS data sets, and access SAS tools and help.



  • The SAS Enterprise Guide, which is a GUI that provides point-and-click features, wizards, and menus to help you create and run SAS projects.



  • The SAS code editor, which is a text editor that allows you to write and run SAS programs using syntax highlighting, auto-completion, and debugging tools.



  • The SAS command line, which allows you to execute SAS commands and programs from a terminal window.



No matter which way you choose to use SAS 9.1, you need to follow some basic steps to perform a data analysis task:


  • Access your data source using the appropriate SAS product or procedure. For example, you can use the LIBNAME statement or the LIBNAME engine to assign a library name to a folder or a database that contains your data files. You can also use the IMPORT or EXPORT procedures to read or write data from external files such as Excel, CSV, or XML.



  • Manipulate and transform your data using the DATA step or the SQL procedure. For example, you can use the DATA step to create new variables, filter observations, merge or append data sets, or apply conditional logic. You can also use the SQL procedure to perform queries and joins on your data.



  • Analyze your data using the appropriate SAS product or procedure. For example, you can use the MEANS, FREQ, UNIVARIATE, or CORR procedures to perform descriptive statistics on your data. You can also use the REG, ANOVA, GLM, LOGISTIC, or PHREG procedures to perform inferential statistics on your data.



  • Present your results using the appropriate SAS product or procedure. For example, you can use the PRINT, REPORT, TABULATE, or ODS procedures to create tabular reports on your data. You can also use the GPLOT, GCHART, SGPLOT, or SGRENDER procedures to create graphical reports on your data.



Here are some examples of how to use SAS 9.1 to perform some common tasks:


Example 1: Importing Data from an Excel File




If you have an Excel file named "sales.xlsx" that contains sales data for a company, you can use the IMPORT procedure to read it into a SAS data set named "sales". You can also use the CONTENTS procedure to check the structure and attributes of the data set.


proc import datafile="sales.xlsx" out=sales dbms=xlsx replace;


run;


proc contents data=sales;


run;


Example 2: Creating a Summary Report




If you want to create a summary report that shows the average sales amount by product category and region for the sales data set, you can use the MEANS procedure with a CLASS statement and an OUTPUT statement. You can also use the PRINT procedure with a FORMAT statement and a WHERE statement to display only the relevant columns and rows.


proc means data=sales mean noprint;


class category region;


var amount;


output out=summary mean=avg_amount;


run;


proc print data=summary noobs;


format avg_amount dollar10.;


where _type_=3;


run;


How to Use SAS 9.1?




Once you have downloaded and installed SAS 9.1 for free on Windows 7, you can start using it to perform various data analysis tasks. There are different ways to use SAS 9.1, depending on your preference and skill level. You can use:


  • The SAS windowing environment, which consists of several windows that allow you to enter and edit SAS programs, view SAS output and log, browse SAS data sets, and access SAS tools and help.



  • The SAS Enterprise Guide, which is a GUI that provides point-and-click features, wizards, and menus to help you create and run SAS projects.



  • The SAS code editor, which is a text editor that allows you to write and run SAS programs using syntax highlighting, auto-completion, and debugging tools.



  • The SAS command line, which allows you to execute SAS commands and programs from a terminal window.



No matter which way you choose to use SAS 9.1, you need to follow some basic steps to perform a data analysis task:


  • Access your data source using the appropriate SAS product or procedure. For example, you can use the LIBNAME statement or the LIBNAME engine to assign a library name to a folder or a database that contains your data files. You can also use the IMPORT or EXPORT procedures to read or write data from external files such as Excel, CSV, or XML.



  • Manipulate and transform your data using the DATA step or the SQL procedure. For example, you can use the DATA step to create new variables, filter observations, merge or append data sets, or apply conditional logic. You can also use the SQL procedure to perform queries and joins on your data.



  • Analyze your data using the appropriate SAS product or procedure. For example, you can use the MEANS, FREQ, UNIVARIATE, or CORR procedures to perform descriptive statistics on your data. You can also use the REG, ANOVA, GLM, LOGISTIC, or PHREG procedures to perform inferential statistics on your data.



  • Present your results using the appropriate SAS product or procedure. For example, you can use the PRINT, REPORT, TABULATE, or ODS procedures to create tabular reports on your data. You can also use the GPLOT, GCHART, SGPLOT, or SGRENDER procedures to create graphical reports on your data.



Here are some examples of how to use SAS 9.1 to perform some common tasks:


Example 1: Importing Data from an Excel File




If you have an Excel file named "sales.xlsx" that contains sales data for a company, you can use the IMPORT procedure to read it into a SAS data set named "sales". You can also use the CONTENTS procedure to check the structure and attributes of the data set.


proc import datafile="sales.xlsx" out=sales dbms=xlsx replace;


run;


proc contents data=sales;


run;


Example 2: Creating a Summary Report




If you want to create a summary report that shows the average sales amount by product category and region for the sales data set, you can use the MEANS procedure with a CLASS statement and an OUTPUT statement. You can also use the PRINT procedure with a FORMAT statement and a WHERE statement to display only the relevant columns and rows.


proc means data=sales mean noprint;


class category region;


var amount;


output out=summary mean=avg_amount;


run;


proc print data=summary noobs;


format avg_amount dollar10.;


where _type_=3;


run;


Example 3: Creating a Scatter Plot




If you want to create a scatter plot that shows the relationship between sales amount and customer satisfaction for the sales data set, you can use the SGPLOT procedure with a SCATTER statement and a REG statement. You can also use an INSET statement to display some summary statistics on the plot.


proc sgplot data=sales;


scatter x=amount y=satisfaction / markerattrs=(color=blue);


reg x=amount y=satisfaction / lineattrs=(color=red);


inset "N"="n" "R-Square"="r


Conclusion




In this article, you have learned how to download and install SAS 9.1 for free on Windows 7 using the SAS OnDemand for Academics program. You have also learned what SAS 9.1 is, what are its main components and functions, and how to use it to perform some basic data analysis tasks. SAS 9.1 is a powerful and versatile statistical software that can help you with your data analysis needs, whether you are a researcher, student, or professional. By using SAS 9.1, you can access, manipulate, analyze, and present your data in various ways, and gain insights and knowledge from your data. d282676c82


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