Although both SAS and R is a widely used language in the field of data science, there are some notable differences which make them different from each other.
Sr.no. |
Parameters |
SAS |
R |
1 |
Objective |
SAS is a specific programming language designed primarily for statistical analysis of data from spreadsheets or databases. |
R programming language is widely used among statisticians and data miners to develop statistical software and data analysis. |
2 |
Ease of Learning |
Learning is easier than R because no programming knowledge is required. We can learn it with limited knowledge of SQL. |
Learning is less easy than SAS because it contains tedious and lengthy code. |
3 |
Statistical Ability |
SAS provides a powerful package that offers all types of statistical analysis and techniques. |
R is an open source tool that allows users to submit their own package/library. The latest technologies are often released in R First. |
4 |
Cost |
SAS is expensive commercial software. |
R is an open source free software. |
5 |
Graphical Capability |
SAS has limited graphical support, Although there are some graphical capabilities in Base SAS, these abilities are not widely known, and therefore R gets a clear edge in this aspect. |
R is the advanced in graphical visualization, due to the availability of various packages such as ggplot, latis, and RGIS. |
6 |
Data Publishing |
SAS supports data publishing in HTML, PDF, Excel, and other formats via the Output Delivery System. |
R supports data publishing either in soft or hard copy. |
7 |
File Sharing Capability |
We cannot share SAS generated files with other users who do not have SAS Software. |
Since R is an open source free software so that anyone can install it and use shared files. |
8 |
Software Updates |
SAS does not update frequently. |
R is an open source software, so it continues the update. |
9 |
Customer Support |
SAS provides a huge and dedicated customer support |
R has no customer service support. However, the most significant online communities support it. |
10 |
Core Learning Support |
Core learning in SAS software is still in its early stages, and there is a lot of work to do before it gets mature. |
R provides great integrations for core learning. |
11 |
Sharing of Market |
Market share of SAS is facing crucial competition with R and other data analytical tools. |
R is growing at high speed since the last five years because of its regular updates and integrated features. |
12 |
Job Market |
SAS software is the market leader in providing employment. Many large-scale companies prefer SAS for data analytics. |
R is also providing a large number of jobs, and there has been a significant increase in the number of jobs in the last few years. |