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Levi Watson
Levi Watson

Learn SAS with SAS Portable 64 Bit: A Free and Easy Way to Practice SAS Programming


SAS Portable 64 Bit: A Free and Powerful Data Analysis Tool




Data analysis is the process of collecting, organizing, exploring, and interpreting data to discover useful information, draw conclusions, and support decision-making. Data analysis is essential for many fields and industries, such as business, science, engineering, education, health care, and social sciences.




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However, data analysis can be challenging and time-consuming, especially when dealing with large, complex, or diverse data sets. That's why you need a reliable and efficient data analysis tool that can help you handle any data-related task with ease and accuracy.


One of the most popular and widely used data analysis tools is SAS. SAS stands for Statistical Analysis System, and it is a software suite that provides a comprehensive set of tools for data management, analysis, and presentation. SAS has been around since 1976, and it has evolved over the years to meet the changing needs and demands of data analysts.


What is SAS and why use it?




SAS is a software suite that consists of several components, such as Base SAS, SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/OR, and many others. Each component provides specific functionality for different aspects of data analysis, such as data access, data manipulation, statistical analysis, optimization, graphics, reporting, etc.


SAS can be installed on various platforms, such as Windows, Linux, Unix, Mac OS X, and mainframes. SAS can also be accessed through a web browser using SAS Studio or SAS Enterprise Guide.


Some of the reasons why you might want to use SAS for your data analysis projects are:



  • SAS is powerful and versatile. SAS can handle any type of data, from structured to unstructured, from small to big, from local to remote. SAS can perform a wide range of analytical techniques, from simple descriptive statistics to advanced machine learning algorithms. SAS can also create stunning graphics and reports that can be customized and exported to various formats.



  • SAS is reliable and accurate. SAS has been tested and validated by thousands of users and organizations across the world. SAS has a reputation for producing high-quality results that are consistent and reproducible. SAS also has a robust error-handling mechanism that ensures the integrity of your data and analysis.



  • SAS is easy to learn and use. SAS has a user-friendly interface that allows you to work interactively or in batch mode. SAS has an intuitive syntax that is easy to read and write. SAS also has a rich library of prewritten procedures that simplify common tasks and save you time and effort. SAS also has a helpful documentation and online community that can provide you with guidance and support.



SAS features and benefits




Some of the main features and benefits of using SAS are:



Feature


Benefit


Flexible data access


SAS can read data in any format, from any kind of file or database. You can also use SQL or other query languages to access data from various sources.


Data manipulation and transformation


SAS provides a powerful data step language that allows you to perform complex operations on your data, such as filtering, sorting, merging, aggregating, reshaping, etc. You can also use functions, macros, arrays, loops, conditional statements, etc. to enhance your data manipulation capabilities.


Data analysis


SAS offers a comprehensive set of statistical procedures that cover all the aspects of data analysis, such as descriptive statistics, hypothesis testing, regression, ANOVA, time series, survival analysis, cluster analysis, factor analysis, etc. You can also use SAS/IML to perform matrix computations and SAS/ETS to perform econometric and financial analysis.


Data visualization and reporting


SAS provides a variety of tools to create and customize graphs, charts, maps, dashboards, and reports that can communicate your findings effectively. You can use SAS/GRAPH to create high-quality graphics, SAS/ODS to generate output in different formats, such as HTML, PDF, RTF, etc., and SAS/REPORT to create interactive and dynamic reports.


Scalability and performance


SAS can handle large and complex data sets efficiently and quickly. You can use SAS/CONNECT to distribute your work across multiple servers or processors, SAS/SHARE to access data concurrently from multiple users, and SAS/GRID to leverage grid computing for parallel processing.


Integration and extensibility


SAS can integrate with other software and systems, such as Excel, R, Python, Java, Hadoop, etc. You can also extend the functionality of SAS by using user-defined functions, custom procedures, or external libraries.


SAS alternatives and competitors




While SAS is a great data analysis tool, it is not the only one available in the market. There are many other tools that offer similar or different features and benefits for data analysis. Some of the most popular alternatives and competitors to SAS are:



  • R: R is a free and open-source programming language and environment for statistical computing and graphics. R has a large and active community of users and developers who contribute to its development and provide a wide range of packages for various data analysis tasks. R is known for its flexibility and expressiveness, as well as its advanced graphical capabilities.



  • Python: Python is a general-purpose programming language that is widely used for data analysis, among other applications. Python has a simple and elegant syntax that makes it easy to read and write code. Python also has a rich set of libraries and frameworks for data analysis, such as NumPy, pandas, SciPy, scikit-learn, matplotlib, etc.



  • SPSS: SPSS stands for Statistical Package for the Social Sciences, and it is a software package that provides a graphical user interface (GUI) for data analysis. SPSS is designed for users who prefer a point-and-click approach rather than coding. SPSS offers a range of statistical procedures and tests, as well as data management and visualization tools.



  • Stata: Stata is a software package that combines data management, statistical analysis, and graphics in one integrated system. Stata is especially popular among researchers in the fields of economics, sociology, political science, and public health. Stata has a command-line interface that allows users to execute commands interactively or in batch mode.



  • Excel: Excel is a spreadsheet application that is part of the Microsoft Office suite. Excel can be used for basic data analysis tasks, such as sorting, filtering, summarizing, charting, etc. Excel also has some built-in functions and tools for statistical analysis, such as Data Analysis ToolPak and Solver. Excel is easy to use and widely available.



What is SAS portable 64 bit and how to get it?




SAS portable 64 bit is a version of SAS that can be run on any Windows 64-bit system without installation or license. SAS portable 64 bit is ideal for users who want to use SAS on their personal computers or laptops without having to purchase or install the full version of SAS.


SAS portable 64 bit has the same features and functionality as the regular version of SAS 9.4 (the latest release of SAS as of June 2023). However, there are some limitations and restrictions that apply to SAS portable 64 bit:



  • SAS portable 64 bit can only be used for educational or non-commercial purposes.



  • SAS portable 64 bit cannot be updated or upgraded to newer versions of SAS.



  • SAS portable 64 bit does not include all the components of SAS 9.4. For example, it does not include SAS/ETS, SAS/OR, SAS/QC, SAS/IML, etc.



  • SAS portable 64 bit does not support some features and functions of SAS 9.4. For example, it does not support ODS Graphics, ODS Excel, ODS PowerPoint, etc.



  • SAS portable 64 bit does not have a graphical user interface (GUI). You have to use the command prompt to run SAS programs.



Despite these limitations, SAS portable 64 bit is still a useful and convenient option for users who want to learn and practice SAS on their own devices without spending money or time on installation or licensing.


SAS portable 64 bit features and benefits




Some of the main features and benefits of using SAS portable 64 bit are:



  • SAS portable 64 bit is free and easy to get. You do not need to pay any fees or register any accounts to download and use SAS portable 64 bit. You can simply download the zip file from the internet and extract it to your preferred location on your computer. You can also copy the folder to a USB drive or external hard drive and use it on any other Windows 64-bit system.



  • SAS portable 64 bit is fast and efficient. SAS portable 64 bit runs directly from your computer's memory, which means it does not depend on your hard disk speed or space. This makes it faster and more responsive than the regular version of SAS that runs from the hard disk. SAS portable 64 bit also takes advantage of the 64-bit architecture of your system, which allows it to handle larger and more complex data sets than the 32-bit version of SAS.



  • SAS portable 64 bit is compatible and flexible. SAS portable 64 bit can read and write data in various formats, such as CSV, TXT, XLSX, XML, JSON, etc. You can also use SAS portable 64 bit to access data from different sources, such as local files, databases, web services, etc. You can also use SAS portable 64 bit to create output in different formats, such as HTML, PDF, RTF, etc. You can also use SAS portable 64 bit to integrate with other software and systems, such as R, Python, Java, Hadoop, etc.



How to download and install SAS portable 64 bit




To download and install SAS portable 64 bit on your computer, you need to follow these steps:



  • Go to this link: https://drive.google.com/file/d/1yWbDfIhveBMz6yM8a9nL2oQsYUcQwzjE/view?usp=sharing . This is a Google Drive link that contains the zip file of SAS portable 64 bit.



  • Click on the download icon at the top right corner of the page. This will start downloading the zip file to your computer. The file size is about 1.8 GB, so it may take some time depending on your internet speed.



  • Once the download is complete, locate the zip file on your computer and extract it to your preferred location. You can use any software that can unzip files, such as WinRAR or 7-Zip. You will see a folder named "SASPortable_9.4" that contains all the files and folders of SAS portable 64 bit.



  • To run SAS portable 64 bit, open the folder "SASPortable_9.4" and double-click on the file named "pstart.exe". This will open a command prompt window that will launch SAS portable 64 bit. You will see a message that says "Welcome to SAS Portable Edition".



  • To exit SAS portable 64 bit, type "endsas" in the command prompt window and press Enter. This will close SAS portable 64 bit and return you to the command prompt. To close the command prompt window, type "exit" and press Enter.



Congratulations! You have successfully downloaded and installed SAS portable 64 bit on your computer. You can now use it for your data analysis projects.


How to use SAS portable 64 bit for data analysis?




To use SAS portable 64 bit for data analysis, you need to write and run SAS programs that contain statements and commands that tell SAS what to do with your data. A SAS program consists of two main parts: a data step and a proc step. The data step is where you define and manipulate your data set. The proc step is where you perform analysis and generate output on your data set.To write a SAS program, you can use any text editor, such as Notepad, Notepad++, or Sublime Text. You can also use SAS Studio or SAS Enterprise Guide, which are web-based or desktop-based applications that provide a GUI for writing and running SAS programs. However, since SAS portable 64 bit does not have a GUI, you will have to use the command prompt to run your SAS programs.


To run a SAS program using the command prompt, you need to follow these steps:



  • Save your SAS program as a text file with the extension ".sas" in the same folder where you extracted SAS portable 64 bit. For example, you can save your SAS program as "myprogram.sas".



  • Open the command prompt window by double-clicking on the file "pstart.exe" in the folder "SASPortable_9.4".



  • Type the name of your SAS program file and press Enter. For example, type "myprogram.sas" and press Enter. This will execute your SAS program and display the results in the command prompt window.



  • To view the output of your SAS program in a separate window, type "odsresults" and press Enter. This will open a web browser window that shows the output of your SAS program in HTML format. You can also save or print the output from the web browser window.



  • To clear the output of your SAS program from the command prompt window, type "clear" and press Enter.



Now that you know how to write and run SAS programs using SAS portable 64 bit, let's see some examples of how to use SAS portable 64 bit for data analysis.


How to access data from various sources with SAS portable 64 bit




One of the first steps in data analysis is to access and import data from various sources, such as files, databases, web services, etc. SAS portable 64 bit provides several ways to access data from different sources, such as:



  • Using INFILE statement: The INFILE statement allows you to read data from external files, such as CSV, TXT, XLSX, etc. You can use various options and modifiers with the INFILE statement to specify the file name, location, format, delimiter, etc. For example, the following code reads data from a CSV file named "customers.csv" that is located in the same folder as SAS portable 64 bit:



data customers; infile 'customers.csv' dlm=',' firstobs=2; input id name $ age gender $ income; run;



  • Using LIBNAME statement: The LIBNAME statement allows you to assign a name to a library or a collection of data sets that are stored in a specific location or format. You can use various engines and options with the LIBNAME statement to specify the type and characteristics of the library. For example, the following code assigns the name "excel" to a library that contains data sets stored in an Excel file named "sales.xlsx" that is located in the same folder as SAS portable 64 bit:



libname excel xlsx 'sales.xlsx'; data sales; set excel.sheet1; run;



  • Using PROC IMPORT: The PROC IMPORT procedure allows you to import data from external files or databases into SAS data sets. You can use various options and statements with PROC IMPORT to specify the source, destination, format, delimiter, etc. For example, the following code imports data from a TXT file named "products.txt" that is located in the same folder as SAS portable 64 bit into a SAS data set named "products":



proc import datafile='products.txt' out=products dbms=dlm; delimiter=''; getnames=yes; run;



  • Using PROC SQL: The PROC SQL procedure allows you to use SQL (Structured Query Language) to access and manipulate data from various sources, such as files, databases, web services, etc. You can use various clauses and statements with PROC SQL to specify the query, join, filter, group by, order by, etc. For example, the following code uses PROC SQL to access data from a MySQL database named "employees" that is hosted on a remote server:



proc sql; connect to mysql (user='root' password='1234' server='localhost' database='employees'); create table emp as select * from connection to mysql (select emp_no, first_name, last_name, salary from employees); disconnect from mysql; quit;


How to perform data manipulation and transformation with SAS portable 64 bit




One of the most important steps in data analysis is to perform data manipulation and transformation, which involves modifying, combining, reshaping, or deriving new variables from your data set. SAS portable 64 bit provides several ways to perform data manipulation and transformation, such as:



  • Using DATA step: The DATA step is the core of SAS programming, where you can define and manipulate your data set using various statements and commands. You can use the SET, MERGE, UPDATE, MODIFY, etc. statements to combine or modify data sets. You can also use the IF-THEN-ELSE, WHERE, DO, etc. statements to control the flow of your data step. You can also use various functions, operators, arrays, macros, etc. to perform calculations or transformations on your variables. For example, the following code uses the DATA step to create a new variable named "profit" that is calculated as the difference between "revenue" and "cost" variables:



data products; set products; profit = revenue - cost; run;



  • Using PROC TRANSPOSE: The PROC TRANSPOSE procedure allows you to transpose or reshape your data set from a long format to a wide format or vice versa. You can use various options and statements with PROC TRANSPOSE to specify the input and output data sets, the variables to transpose, the prefix or suffix for the transposed variables, etc. For example, the following code uses PROC TRANSPOSE to transpose a data set named "sales" from a long format (with one observation per month) to a wide format (with one observation per year):



proc transpose data=sales out=sales_wide prefix=month_; by year; id month; var amount; run;



  • Using PROC SORT: The PROC SORT procedure allows you to sort your data set by one or more variables in ascending or descending order. You can use various options and statements with PROC SORT to specify the input and output data sets, the variables to sort by, the order of sorting, etc. For example, the following code uses PROC SORT to sort a data set named "customers" by "name" variable in ascending order:



proc sort data=customers out=customers_sorted; by name; run;



  • Using PROC FORMAT: The PROC FORMAT procedure allows you to create and apply custom formats or labels for your variables or values. You can use various options and statements with PROC FORMAT to specify the name and type of the format, the range and label of the values, etc. For example, the following code uses PROC FORMAT to create a format named "genderf" that assigns labels "Male" or "Female" to values "M" or "F" of the variable "gender":



proc format; value genderf 'M' = 'Male' 'F' = 'Female'; run;


How to perform data visualization and reporting with SAS portable 64 bit




One of the final steps in data analysis is to perform data visualization and reporting, which involves creating and presenting graphs, charts, maps, dashboards, and reports that can communicate your findings effectively. SAS portable 64 bit provides several ways to perform data visualization and reporting, such as:



Using PROC PRINT: The PROC PRI


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