- SAS Tutorial
- SAS - Home
- SAS - Overview
- SAS - Environment
- SAS - User Interface
- SAS - Program Structure
- SAS - Basic Syntax
- SAS - Data Sets
- SAS - Variables
- SAS - Strings
- SAS - Arrays
- SAS - Numeric Formats
- SAS - Operators
- SAS - Loops
- SAS - Decision Making
- SAS - Functions
- SAS - Input Methods
- SAS - Macros
- SAS - Dates & Times

- SAS Data Set Operations
- SAS - Read Raw Data
- SAS - Write Data Sets
- SAS - Concatenate Data Sets
- SAS - Merging Data Sets
- SAS - Subsetting Data Sets
- SAS - Sort Data Sets
- SAS - Format Data Sets
- SAS - SQL
- SAS - Output Delivery System
- SAS - Simulations

- SAS Data Representation
- SAS - Histograms
- SAS - Bar Charts
- SAS - Pie Charts
- SAS - Scatterplots
- SAS - Boxplots

- SAS Basic Statistical Procedure
- SAS - Arithmetic Mean
- SAS - Standard Deviation
- SAS - Frequency Distributions
- SAS - Cross Tabulations
- SAS - T Tests
- SAS - Correlation Analysis
- SAS - Linear Regression
- SAS - Bland-Altman Analysis
- SAS - Chi-Square
- SAS - Fishers Exact Tests
- SAS - Repeated Measure Analysis
- SAS - One-Way Anova
- SAS - Hypothesis Testing

- SAS Useful Resources
- SAS - Quick Guide
- SAS - Useful Resources
- SAS - Questions and Answers
- SAS - Discussion

**SAS** stands for **Statistical Analysis Software**. It was created in the year 1960 by the SAS Institute. From 1st January 1960, SAS was used for data management, business intelligence, Predictive Analysis, Descriptive and Prescriptive Analysis etc. Since then, many new statistical procedures and components were introduced in the software.

With the introduction of JMP (Jump) for statistics SAS took advantage of the **Graphical user Interface** which was introduced by the Macintosh. Jump is basically used for the applications like Six Sigma, designs, quality control and engineering and scientific analysis.

SAS is platform independent which means you can run SAS on any operating system either Linux or Windows. SAS is driven by SAS programmers who use several sequences of operations on the SAS datasets to make proper reports for data analysis.

Over the years SAS has added numerous solutions to its product portfolio. It has solution for Data Governance, Data Quality, Big Data Analytics, Text Mining, Fraud management, Health science etc. We can safely assume SAS has a solution for every business domain.

To have a glance at the list of products available you can visit SAS Components

SAS is basically worked on large datasets. With the help of SAS software you can perform various operations on the data like −

- Data Management
- Statistical Analysis
- Report formation with perfect graphics
- Business Planning
- Operations Research and project Management
- Quality Improvement
- Application Development
- Data extraction
- Data transformation
- Data updation and modification

If we talk about the components of SAS then more than 200 components are available in SAS.

Sr.No. | SAS Component & their Usage |
---|---|

1 |
It is a core component which contains data management facility and a programming language for data analysis. It is also the most widely used. |

2 |
Create graphs, presentations for better understanding and showcasing the result in a proper format. |

3 |
Perform Statistical analysis with the variance analysis, regression, multivariate analysis, survival analysis, and psychometric analysis, mixed model analysis. |

4 |
Operations research. |

5 |
Econometrics and Time Series Analysis. |

6 |
CInteractive matrix language. |

7 |
Applications facility. |

8 |
Quality control. |

9 |
Data mining. |

10 |
Clinical trial analysis. |

11 |
Data mining. |

- Windows or PC SAS
- SAS EG (Enterprise Guide)
- SAS EM (Enterprise Miner i.e. for Predictive Analysis)
- SAS Means
- SAS Stats

Mostly we use Window SAS in organisation as well as in training institute. Some of the organisations use Linux but there is no graphical user interface so you have to write code for every query. But in window SAS there are a lot of utilities available which helps the programmers very much and it also reduces the time of writing the codes as well.

A SaS Window have 5 parts.

Sr.No. | SAS Window & their Usage |
---|---|

1 |
A log window is like an execution window where we can check the execution of the SAS program. In this window we can check the errors also. It is very important to check every time the log window after running the program. So that we can have proper understanding about the execution of our program. |

2 |
Editor Window is that part of SAS where we write all the codes. It is like a notepad. |

3 |
Output window is the result window where we can see the output of our program. |

4 |
It is like an index to all the outputs. All the programs that we have run in one session of the SAS are listed there and you can open the output by clicking on the output result. But these are mentioned only in one session of the SAS. If we close the software and then open it then the Result Window will be empty. |

5 |
Here all the libraries listed. You can also browse your system SAS supported files from here. |

Libraries are like storage in SAS. You can create a library and save all the similar programs in that library. SAS provides you the facility to create multiple libraries. A SAS library is only 8 characters long.

There are two types of libraries are available in SAS −

Sr.No. | SAS Window & their Usage |
---|---|

1 |
This is the by default library of SAS. All the programs that we create are stored in this work library if we do not assign any other library to them. You can check this work library in the Explore Window. If you create a SAS program and have not assign any permanent library to it then if you end the session after that again you start the software then this program will not be in the work library. Because it will only be there in Work library as long as the session goes ones. |

2 |
These are the permanent libraries of SAS. We can create a new SAS library by using SAS utilities or by writing the codes in the editor window. These libraries are named as permanent because if we create a program in SAS and save it in these permanent libraries then these will be available as long as we want them. |

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