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  2. 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]

  3. Oversampling and undersampling in data analysis - Wikipedia

    en.wikipedia.org/wiki/Oversampling_and_under...

    To create a synthetic data point, take the vector between one of those k neighbors, and the current data point. Multiply this vector by a random number x which lies between 0, and 1. Add this to the current data point to create the new, synthetic data point. Many modifications and extensions have been made to the SMOTE method ever since its ...

  4. Record linkage - Wikipedia

    en.wikipedia.org/wiki/Record_linkage

    Record linkage is important to social history research since most data sets, such as census records and parish registers were recorded long before the invention of National identification numbers. When old sources are digitized, linking of data sets is a prerequisite for longitudinal study. This process is often further complicated by lack of ...

  5. Data processing - Wikipedia

    en.wikipedia.org/wiki/Data_processing

    For data analysis, software suites like SPSS or SAS, or their free counterparts such as DAP, gretl, or PSPP are often used. These tools are usually helpful for processing various huge data sets, as they are able to handle enormous amount of statistical analysis.

  6. SAS (software) - Wikipedia

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

    SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. [3] SAS provides a graphical point-and-click user interface for non-technical users and more through the SAS language.

  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. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    KIT AIS Data Set Multiple labeled training and evaluation datasets of aerial images of crowds. Images manually labeled to show paths of individuals through crowds. ~ 150 Images with paths People tracking, aerial tracking 2012 [178] [179] M. Butenuth et al. Wilt Dataset Remote sensing data of diseased trees and other land cover.

  9. Coding (social sciences) - Wikipedia

    en.wikipedia.org/wiki/Coding_(social_sciences)

    Prior to coding, an annotation scheme is defined. It consists of codes or tags. During coding, coders manually add codes into data where required features are identified. The coding scheme ensures that the codes are added consistently across the data set and allows for verification of previously tagged data. [1]