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R: Data Analysis and Visualization by Ágnes Vidovics-Dancs, Kata Váradi, Tamás Vadász, Ágnes Tuza, Balázs Árpád Szucs, Julia Molnár, Péter Medvegyev, Balázs Márkus, István Margitai, Péter Juhász, Dániel Havran, Gergely Gabler, Barbara Dömötör, Gergely Daróczi, Ádám Banai, Milán Badics, Ferenc Illés, Edina Berlinger, Bater Makhabel, Hrishi V. Mittal, Jaynal Abedin, Brett Lantz, Tony Fischetti

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Data attributes and description

An attribute is a field representing a certain feature, characteristic, or dimensions of a data object.

In most situations, data can be modeled or represented with a matrix, columns for data attributes, and rows for certain data records in the dataset. For other cases, that data cannot be represented with matrices, such as text, time series, images, audio, video, and so forth. The data can be transformed into a matrix by appropriate methods, such as feature extraction.

The type of data attributes arises from its contexts or domains or semantics, and there are numerical, non-numerical, categorical data types or text data. Two views applied to data attributes and descriptions are widely used in data mining and R. They ...

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