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SAS (software)

SAS (software) is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand SAS (software) rather than just read about it. In short: SAS (previously Statistical Analysis System) is a data and artificial intelligence software developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, and predictive analytics. SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated.

SAS (software) — main illustration
SAS (software) — illustration

Key takeaways

  • SAS (software) belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect SAS (software) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of SAS (software) from memory before moving on to harder problems.

Reference excerpt

SAS (previously Statistical Analysis System) is a data and artificial intelligence software developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, and predictive analytics. SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated. SAS was further developed in the 1980s and 1990s 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 2004. A social media analytics product was added in 2010. SAS Viya, a suite of analytics and artificial intelligence software, was introduced in 2016.

Technical overview and terminology SAS is a data analysis and artificial intelligence software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. SAS provides a graphical point-and-click user interface for non-technical users and more through the SAS language. SAS programs have DATA steps, which retrieve and manipulate data, PROC (procedures) which analyze the data, and may also have functions. Each step consists of a series of statements. 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. The DATA step has two phases: compilation and execution. In the compilation phase, declarative statements are processed and syntax errors are identified. Afterwards, the execution phase processes each executable statement sequentially. Data sets are organized into tables with rows called "observations" and columns called "variables". Additionally, each piece of data has a descriptor and a value. PROC statements call upon named procedures. Procedures perform analysis and reporting on data sets to produce statistics, analyses, and graphics. There are more than 300 named procedures and each one performs a substantial body of statistical work. PROC statements can also display results, sort data or perform other operations. SAS macros are pieces of code or variables that are coded once and referenced to perform repetitive tasks. SAS data can be published in HTML, PDF, Excel, RTF and other formats using the Output Delivery System, which was first introduced in 2007. SAS Enterprise Guide is SAS's point-and-click interface. It generates code to manipulate data or perform analysis without the use of the SAS programming language. The SAS software suite has more than 200 add-on packages, sometimes called components Some of these SAS components, i.e. add on packages to Base SAS include:

History

Origins The development of SAS started in 1966 after North Carolina State University re-hired Anthony Barr to program his analysis of variance and regression software so that it would run on IBM System/360 computers. The project was funded by the National Institutes of Health. and was originally intended to analyze agricultural data to improve crop yields. Barr was joined by student James Goodnight, who developed the software's statistical routines, and the two became project leaders. In 1968, Barr and Goodnight integrated new multiple regression and analysis of variance routines. In 1972, after issuing the first release of SAS, the project lost its funding. According to Goodnight, this was because NIH only wanted to fund projects with medical applications. Goodnight continued teaching at the university for a salary of $1 and access to mainframe computers for use with the project, until it was funded by the University Statisticians of the Southern Experiment Stations the following year. John Sall joined the project in 1973 and contributed to the software's econometrics, time series, and matrix algebra. Another early participant, Caroll G. Perkins, contributed to SAS' early programming. Jolayne W. Service and Jane T. Helwig created SAS's first documentation. The first versions of SAS, from SAS 71 to SAS 82, were named after the year in which they were released. In 1971, SAS 71 was published as a limited release. It was used only on IBM mainframes and had the main elements of SAS programming, such as the DATA step and the most common procedures, i.e. PROCs. The following year a full version was released as SAS 72, which introduced the MERGE statement and added features for handling missing data or combining data sets. In 1976, Barr, Goodnight, Sall, and Helwig removed the project from North Carolina State and incorporated it as the SAS Institute, Inc. SAS 76.2 was later ruled to be in the public domain.

… excerpt ends here. Continue reading the full article.

Illustrations

SAS (software) illustration

Worked examples

Example 1 — a first encounter with SAS (software)

Start with the simplest possible case. Write down what SAS (software) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to SAS (software) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about SAS (software) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of SAS (software)

In research
SAS (software) appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses SAS (software) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
SAS (software) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Business intelligence software, Data mining and machine learning software, Data warehousing, so understanding it makes those chapters shorter.
In everyday life
Look for SAS (software) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study SAS (software) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what SAS (software) means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain SAS (software) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is SAS (software) in simple terms?

SAS (previously Statistical Analysis System) is a data and artificial intelligence software developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, and predictive analytics. SAS was developed at North Carolina State University from 1966 unti…

Why does SAS (software) matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study SAS (software)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on SAS (software).

Tags

  • Business intelligence software
  • Data mining and machine learning software
  • Data warehousing
  • Extract, transform, load tools
  • Fourth-generation programming languages
  • Mathematical optimization software
  • Numerical software
  • Proprietary commercial software for Linux
  • Proprietary software programmed in C
  • SAS Institute
  • Science software for Linux

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