The distinction between SPSS and SAS or SPSS vs SAS is one of the utmost concerns between programming and statistics students. Several students do not know the key difference between SPSS and SAS. Are you also one of them?, then don’t worry! You do not have to wander anywhere now and can get sas assignment help. This blog will help in learning SPSS vs SAS.
However, in this blog, we will learn SPSS vs SAS and understand the major difference between them. Thus, scroll down to know more!
SPSS vs SAS
As technology becomes more prevalent, data is created for every small thing. However, we need statistics to evaluate the data and provide more value. As well as to anticipate and provide data trends.
SPSS and SAS are software programs that make statistical analysis simpler. SPSS is a powerful and versatile statistical program. SAS is a programming language with its own set of tools.
Let’s look at what are the distinctions between SPSS and SAS. Although the major mottos of both SPSS and SAS programs are statistical analysis and company growth. Let’s start with an overview of both SPSS and SAS.
Statistical Package For The Social Sciences (SPSS)
SPSS is one of the oldest statistical software. The researchers use SPSS to examine various kinds of data. This statistics program is the most dependable.
That is why it is used by market researchers, health researchers, the government, survey companies, data miners, and others. As the name indicates, it was developed for social science. It was also the first statistical programming language for the PC.
You can easily make a report with SPSS. Tables and charts are available in SPSS for reporting. And you may easily copy and paste tables and figures. Moreover, as statistical software, it offers the best in class user interface in the world.
Features Of SPSS
- It has greater innovative capabilities and requires less setup and downloading of packages.
- As SPSS has a more accessible graphical user interface and the ability to run scripts without substantial coding skills, this application has a minimal learning curve.
- Another feature of SPSS is that it has built-in data scrubbing and staging abilities.
Statistical Analysis System (SAS)
SAS is a statistical programming language. As it is a programming language, it does not have the best user interface available. SAS’s most essential functions are advanced analytics, data management, business intelligence, and predictive analysis.
As I initially stated, SAS is a programming language. As a result, customizing SAS is complex. Because it lacks the same user-friendly interface as SPSS. SAS is more robust. SAS does not contain a copy and paste function for charts and tables.
Consequently, if you want to make some SAS customization, you will need to know how to code.
Features Of SAS
- SAS is able to use the SAS coding language.
- SAS was created with exceptionally huge datasets in mind, and it may be the better option for businesses with extremely large data sets.
- Users frequently praise SAS’s support when they experience system errors or are unable to fulfill jobs.
SPSS vs SAS: Comparison
|Field Of Comparison||SPSS||SAS|
|Basic Distinction||SPSS is a statistical analysis software. SPSS is utlized by Market researchers, health researchers, survey firms, the government, education researchers, marketing groups, and data miners.||SAS is a computer language that comes with a software package for advanced analytics, business intelligence, data management, and predictive analysis. SAS is the nickname for the Statistical Analysis System.|
|Usability and Purpose||For those who aren’t statisticians, SPSS is a fantastic tool. It offers a user-friendly interface with drop-down options that are simple to use. It may be used in a variety of fields. Although, it is most commonly applied in the social sciences.||For several purposes, SAS is expected to contain a large amount of high-quality production code.In the commercial analytical space, it is considered to be the best. SAS has excellent handling capabilities. And its software upgrades are performed in a controlled environment, assuring that it is tested properly.|
|Data Processing||SPSS can be applied, when data is fewer than 100 MB. It will provide information on time.||When there is a large amount of data, SAS is more powerful and offers features such as data sorting and splicing.|
|Ease of Learning||SPSS offers a user-friendly interface that minimizes the need to learn how to code. It includes a paste function that creates syntax for the user interface.||SAS makes use of Proc SQL, which makes its code simple for individuals who have knowledge of SQL. SAS is simple to learn from scratch.|
|Benefits||Many colleges use SPSS. It provides a highly user-friendly interface and complete documentation.It has a click-and-play feature that makes the writing code simple by using the ‘Paste’ button. It also provides excellent official assistance for any problem that the customer may have.||In contrast, SAS is widely used in the industry. It has a drag-and-drop interface with a flow-based UI.It has the ability to handle big datasets.|
|Drawbacks||SPSS is expensive. It has separate licenses available for different functionalities. Its syntax is limited. It takes a long time to adapt the latest technology. Moreover, it is incapable of handling huge datasets.||SAS is also expensive.You’ll have to write code and configure features that aren’t available through the user interface.For various visualizations of data mining, different programs are available.|
We have discussed SPSS vs SAS and learned the key difference between both. We can say that both SPSS and SAS are quite different from each other. Both have their own features and limitations. However, I hope that this blog clears all of your doubts regarding SPSS vs SAS and becomes very helpful for you.
1. Should I learn SAS or SQL?
Answer: If you are good at making reports with graphs and tables, you can learn SQL. On the contrary, if you want to dive into the data, then learn SAS.
2. What programming language does SAS use?
Answer: Well, SAS is not a programming language. SAS uses many parts that might be considered languages. But it is not really one language, rather the collection of interconnected tools.