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SAS (Statistical Analysis System) is a software system used for data inspection and report writing. Statistical Analysis System is a group of programs that works collectively in order to improve and to hold data values, reform data, evaluate complex and single exponential analyses and generate reports.

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Some of the features that make it a leader in the field of business analytics are as follows:

• The editing key sequences used in Windows are applicable in SAS
• Able to read data in multiple formats ASCII, delimited data, hierarchical data and excel data
• Performs critical functions such as mathematics, data and time processing, character processing, etc.

Equipped with a rich set of datasets, variables, operators, loops, functions, input methods, etc., SAS allows the users to save the files in following formats making the system easy, flexible and user-friendly:

Extensions in which SAS saves the files:

Preparing Data for SAS:
In order to use the Statistical Analysis System, Data should be in an Excel table format or SAS format. It is necessary to understand how the data should be organized in tables so that it can be able to run on SAS.

Starting SAS:
There are three windows appear when Statistical Analysis System is opened. The left window is called the Results/ Explorer window. The leading window contains the Log window, the Editor window, and the Output window. To toggle among the windows, the tabs along the bottom are used.

The Explorer/Results Window:
To browse SAS libraries, program files and the outcome of exponential methods, Results/ Explorer Window are used which is on the left side of the screen. The Results/Explorer Window is used to discover SAS data sets and other SAS-associated records. Data sets that have been imported into SAS will be found under Libraries in Sasuser or Work. Sasuser stored the data until it is explicitly deleted by the user, while Work automatically cleared the data when the program is closed. Both Results Window and the Output Window is used to look at the final outcome of exponential methods.