📅  最后修改于: 2021-01-08 14:08:34             🧑  作者: Mango
尽管SAS和R都是数据科学领域中广泛使用的语言,但仍存在一些显着差异,使它们彼此不同。
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. |