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  2. dplyr - Wikipedia

    en.wikipedia.org/wiki/Dplyr

    arrange(), which is used to sort rows in a dataframe based on attributes held by particular columns; mutate(), which is used to create new variables, by altering and/or combining values from existing columns; and; summarize(), also spelled summarise(), which is used to collapse values from a dataframe into a single summary.

  3. pandas (software) - Wikipedia

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

    As such, a DataFrame can be thought of as having two indices: one column-based and one row-based. Because column names are stored as an index, these are not required to be unique. [9]: 103–105 If data is a Series, then data['a'] returns all values with the index value of a.

  4. Gaussian elimination - Wikipedia

    en.wikipedia.org/wiki/Gaussian_elimination

    Animation of Gaussian elimination. Red row eliminates the following rows, green rows change their order. In mathematics, Gaussian elimination, also known as row reduction, is an algorithm for solving systems of linear equations. It consists of a sequence of row-wise operations performed on the corresponding matrix of coefficients.

  5. Active record pattern - Wikipedia

    en.wikipedia.org/wiki/Active_record_pattern

    [1] [2] The interface of an object conforming to this pattern would include functions such as Insert, Update, and Delete, plus properties that correspond more or less directly to the columns in the underlying database table. The active record pattern is an approach to accessing data in a database. A database table or view is wrapped into a class.

  6. Pivot element - Wikipedia

    en.wikipedia.org/wiki/Pivot_element

    A pivot position in a matrix, A, is a position in the matrix that corresponds to a row–leading 1 in the reduced row echelon form of A. Since the reduced row echelon form of A is unique, the pivot positions are uniquely determined and do not depend on whether or not row interchanges are performed in the reduction process.

  7. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    Data orientation refers to how tabular data is represented in a linear memory model such as in-disk or in-memory.The two most common representations are column-oriented (columnar format) and row-oriented (row format). [1] [2] The choice of data orientation is a trade-off and an architectural decision in databases, query engines, and numerical ...

  8. Sydney Sweeney Goes Pantsless for Rare Date Night with Fiancé

    www.aol.com/sydney-sweeney-goes-pantsless-rare...

    Sweeney made the designer bag the centerpiece of her outfit, however, by committing to the maximalist bag charm trend.She decorated the $2,750 Miu Miu design with blue and pink lanyards, strings ...

  9. Data set - Wikipedia

    en.wikipedia.org/wiki/Data_set

    Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936). [1]A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question.