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  2. pandas (software) - Wikipedia

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

    Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series .

  3. Bloomberg US Aggregate Bond Index - Wikipedia

    en.wikipedia.org/wiki/Bloomberg_US_Aggregate...

    The index was subsequently renamed the Bloomberg Barclays US Aggregate Bond Index. Upon its acquisition, Bloomberg and Barclays announced that the index would be co-branded for an initial term of five years. [5] In August 2021, Bloomberg announced the renaming of the index as the Bloomberg US Aggregate Bond Index. [2]

  4. Rename (relational algebra) - Wikipedia

    en.wikipedia.org/wiki/Rename_(relational_algebra)

    In relational algebra, a rename is a unary operation written as / where: . R is a relation; a and b are attribute names; b is an attribute of R; The result is identical to R except that the b attribute in all tuples is renamed to a. [1]

  5. AGG - Wikipedia

    en.wikipedia.org/wiki/AGG

    Agg or AGG may refer to: As an acronym: Anti-Grain Geometry, computer graphics rendering library; Aesthetic group gymnastics, gymnastics In a group;

  6. Group by (SQL) - Wikipedia

    en.wikipedia.org/wiki/Group_by_(SQL)

    Typically, grouping is used to apply some sort of aggregate function for each group. [1] [2] The result of a query using a GROUP BY statement contains one row for each group. This implies constraints on the columns that can appear in the associated SELECT clause. As a general rule, the SELECT clause may only contain columns with a unique value ...

  7. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    Bootstrap aggregating, also called bagging (from bootstrap aggregating) or bootstrapping, is a machine learning (ML) ensemble meta-algorithm designed to improve the stability and accuracy of ML classification and regression algorithms. It also reduces variance and overfitting.

  8. Aggregate data - Wikipedia

    en.wikipedia.org/wiki/Aggregate_data

    Aggregate data is high-level data which is acquired by combining individual-level data. For instance, the output of an industry is an aggregate of the firms’ individual outputs within that industry. [1] Aggregate data are applied in statistics, data warehouses, and in economics. There is a distinction between aggregate data and individual data.

  9. Attributed graph grammar - Wikipedia

    en.wikipedia.org/wiki/Attributed_graph_grammar

    In computer science, an attributed graph grammar is a class of graph grammar that associates vertices with a set of attributes and rewrites with functions on attributes. In the algebraic approach to graph grammars, they are usually formulated using the double-pushout approach or the single-pushout approach.