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  2. SAS (software) - Wikipedia

    en.wikipedia.org/wiki/SAS_(software)

    SAS macros are pieces of code or variables that are coded once and referenced to perform repetitive tasks. [8] SAS data can be published in HTML, PDF, Excel, RTF and other formats using the Output Delivery System, which was first introduced in 2007. [9] SAS Enterprise Guide is SAS's point-and-click interface.

  3. SAS language - Wikipedia

    en.wikipedia.org/wiki/SAS_language

    DATA blocks can be used to read and manipulate input data, and create data sets. PROC blocks are used to perform analyses and operations on these data sets, sort data, and output results in the form of descriptive statistics, tables, results, charts and plots. [15] [16] PROC SQL can be used to work with SQL syntax within SAS. [17]

  4. Open Cascade Technology - Wikipedia

    en.wikipedia.org/wiki/Open_Cascade_Technology

    It is developed and supported by Open Cascade SAS company. It is free and open-source software released under the GNU Lesser General Public License (LGPL), version 2.1 only, which permits open source and proprietary uses. OCCT is a full-scale boundary representation (B-rep) modeling toolkit.

  5. Iris flower data set - Wikipedia

    en.wikipedia.org/wiki/Iris_flower_data_set

    The iris data set is widely used as a beginner's dataset for machine learning purposes. The dataset is included in R base and Python in the machine learning library scikit-learn, so that users can access it without having to find a source for it. Several versions of the dataset have been published. [8]

  6. SAS Institute - Wikipedia

    en.wikipedia.org/wiki/SAS_Institute

    SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. SAS develops and markets a suite of analytics software ( also called SAS ), which helps access, manage, analyze and report on data to aid in decision-making.

  7. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

  8. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit. A common source for data is a data mart or data ...

  9. Data set (IBM mainframe) - Wikipedia

    en.wikipedia.org/wiki/Data_set_(IBM_mainframe)

    In the context of IBM mainframe computers in the S/360 line, a data set (IBM preferred) or dataset is a computer file having a record organization. Use of this term began with, e.g., DOS/360 , OS/360 , and is still used by their successors, including the current z/OS .