SAS vs R: Which One is Better Statistics Language
The statistical analysis system is known as SAS. It is one of the significant statistics tools in the world through clarification in the SAS vs R . It is used in a large organization that is called the business analytics tool. The significant use of SAS is in financial analytics. It also offers the full range of statistical functions and also provides the best GUI for data analytics applications deployment. As I mentioned earlier, it is easy to learn, but it is quite expensive as compared with R.
R
R is an open-source programming language. It is a low-level programming language. That’s why it is used for research and academic purposes. R get the latest updates at regular intervals.
R language is specially designed for statistics operations; that’s why all its methods are statistical and graphical. R is still a popular language; lots of MNC are using R in their organization. Uber, Google, Facebook are the top among them.
R also provides the flexibility to communicate with other languages too. It is more potent than SAS, but it is quite challenging to master R as compared with SAS.
Some of the R application is
Used in the Finance process and market.
The data importing, cleaning functionality.
Playing a crucial role in data science.
Some of the SAS applications are
Predictive analytics
Business intelligence
Prescriptive analytics
Feature of R
Ability to connect with various databases and data types
Provide complete statistics flexibility using a large number of algorithms and packages.
Ability to collect and analyze social media data.
Use for prediction in data science.
Scrap data from various websites.
Integrating with other languages
Great data visualization platform.
Features of SAS
Project Management and operation research
Report formation with standard graphics
Data updating and modification
Powerful Data handling language
Read and write any data format
Best data cleansing functions
Ability to interact with multiple host systems
Parameters of Comparison (SAS vs R)
Ease of Learning
Undoubtedly SAS is easy to learn a programming language. If you want to learn a new tool without having any knowledge or experience with the programming language. Then you should opt for SAS.
SAS allows us to analyze the SQL code, macros integration, and so on. If you have a basic knowledge of SQL, then you can learn SAS quickly. But if you’re a beginner, then it will also be an excellent experience for you to learn SAS.
R is a low-level programming language. That’s why it is a bit harder to learn R as compared with SAS or any other programming language. If you’re going to learn R, then you should have a basic knowledge of programming.
Industry Deployment
The best ever part of the R programming language is, it is an open-source programming language. Therefore anyone can use it without any charges and paid license. It is freely available over the internet. Both the small and medium enterprises use R.
Whenever the business wants to scale the R programming. They can scale the R programming using various libraries and packages. These libraries and packages can be used in any application and function.
On the other hand, SAS is the best option for large enterprises. SAS is used in end to end infrastructure deployment. It is also used in data warehousing, data quality, and data analytics.
On the other hand, SAS is quite expensive compared with R. But, if you want to use SAS, then you need to purchase the license of SAS to use it as a genuine customer. Based on cost, R is a clear winner.
Service Support
R doesn’t provide customer support to the programmers. R is not a licensed product. That’s why there is no service support for the customers. It makes it difficult for programmers to tackle the issue with the R programming language.
Because they may not find a quick solution to the problem. But don’t worry R provides full community support to the programmer. Whenever the programmer faces any difficulty, then they can ask for help within the community.
On the other hand, SAS is a licensed product; thus, it offers full services support to the customers. It also provides community support where customers can ask for help anytime.
Accordingly, all the queries and technical challenges of the customers quickly sorted.
The Final Verdict of SAS Vs RNow we have seen the comparison between SAS Vs R on the basis of some valid points. After comparing them, we have got the idea that SAS and R both have their own set of customers or users. The majority of companies would like to prefer SAS because it is more secure than R.
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