SAS previously " Statistical Analysis System "  is a statistical software suite developed by SAS Institute for advanced analytics, multivariate analysis , business intelligence , criminal investigation ,  data management , and predictive analytics. SAS was further developed in the s and s with the addition of new statistical procedures, additional components and the introduction of JMP. A point-and-click interface was added in version 9 in A social media analytics product was added in SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it.
The DATA step has executable statements that result in the software taking an action, and declarative statements that provide instructions to read a data set or alter the data's appearance. In the compilation phase, declarative statements are processed and syntax errors are identified.
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Afterwards, the execution phase processes each executable statement sequentially. Additionally, each piece of data has a descriptor and a value. Procedures perform analysis and reporting on data sets to produce statistics, analyses, and graphics. There are more than procedures and each one contains a substantial body of programming and statistical work. SAS macros are pieces of code or variables that are coded once and referenced to perform repetitive tasks. It generates code to manipulate data or perform analysis automatically and does not require SAS programming experience to use.
Another early participant, Caroll G. Perkins, contributed to SAS' early programming. Jolayne W. Service and Jane T.
Helwig created SAS' first documentation. The first versions of SAS were named after the year in which they were released. The ability to analyze general linear models was also added  as was the FORMAT procedure, which allowed developers to customize the appearance of data. Version 5 introduced a complete macro language, array subscripts, and a full-screen interactive user interface called Display Manager. SAS introduced new features through dot-releases. From 6.
ODS was improved upon in successive releases. For example, more output options were added in version 8. In , the Text Miner software was introduced. Text Miner analyzes text data like emails for patterns in Business Intelligence applications. A free version was introduced for students in SAS had many releases since As of SAS's largest set of products is its line for customer intelligence.
Numerous SAS modules for web, social media and marketing analytics may be used to profile customers and prospects, predict their behaviors and manage and optimize communications. The framework's primary functionality is to monitor transactions across different applications, networks and partners and use analytics to identify anomalies that are indicative of fraud. There is also a SAS Enterprise Risk Management product-set designed primarily for banks and financial services organizations. SAS has product sets for specific industries, such as government, retail, telecommunications and aerospace and for marketing optimization or high-performance computing.
SAS also offers Free University Edition which can be downloaded by anyone and used for non commercial use. The first announcement regarding this Free University Edition seems to have appeared in newspapers on 28 May Acock wrote that SAS programs provide "extraordinary range of data analysis and data management tasks," but were difficult to use and learn. In a comparison, Doug Henschen of InformationWeek found that start-up fees for the three are similar, though he admitted that the starting fees were not necessarily the best basis for comparison.
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This article is about the software suite. For other uses, see SAS disambiguation. See also: Comparison of statistical packages. The output is kept in the original internal representation as a data component plus a table definition.
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This type of output has limitations that prevent you from getting the most value from your results:. In a time of desktop document editors and publishing systems, you want more versatility in printed output. Many times it would be very convenient to produce not only printed output but also an output data set that you could use as input to another SAS procedure or to a DATA step. ODS is designed to overcome these limitations and make it easier for you to format your output.
The Purpose of These Examples The following examples are designed to help you get up and running quickly with. Use them to learn how to produce output that contains more interesting formatting. For example, UserDefined. When you are finished with this window, click.
The following display shows the code that could be entered for the current example. A number of macro variables appear in the code.
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After you have finished writing your SAS code, click. The following table shows the values that would be entered for the user-defined variables that are shown Display 9. The following display shows the SAS Code Options window after the values in the previous table have been entered. The variables that you define in the SAS Code Options window will be used in the transformation template that you are creating. Users will display the Options tab of the window and enter values for each option. To define any user-defined variables that you used in the SAS Code Options window, perform the following steps for each variable:.
Click the button. A new row displays in the options table. In the Option Name field, enter a descriptive name. Replace the initial value Untitled. Double-click the value to highlight it, then type over the highlighted value.
In the Type field, double-click the current value. A down arrow displays.
Click the down arrow to reveal a list of types, and select one of them. When you are finished defining the user-defined variables in your transformation, click.
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Specify the Remaining Options for the Transformation Template Use the Transform Options window to specify the remaining options for your transformation template. The Transform Options window for the example transformation resembles the following display. Register transform to metadata server —Select this check box if you want to save your transformation as a metadata object in the current metadata repository. Do this if you want the transformation template to be available in the Process Library tree.
http://dev.center.cruises/the-everything-einstein-book-from-matter-and.php For this example, assume that this option is selected. Save transform to a local file —Select this check box if you want to save your transformation as an XML file on the local file system.