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dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1]
[4]: 114 A DataFrame is a 2-dimensional data structure of rows and columns, similar to a spreadsheet, and analogous to a Python dictionary mapping column names (keys) to Series (values), with each Series sharing an index. [4]: 115 DataFrames can be concatenated together or "merged" on columns or indices in a manner similar to joins in SQL.
The name of the language, R, comes from being both an S language successor as well as the shared first letter of the authors, Ross and Robert. [11] In August 1993, Ihaka and Gentleman posted a binary of R on StatLib — a data archive website. [12] At the same time, they announced the posting on the s-news mailing list. [13]
To use column-major order in a row-major environment, or vice versa, for whatever reason, one workaround is to assign non-conventional roles to the indexes (using the first index for the column and the second index for the row), and another is to bypass language syntax by explicitly computing positions in a one-dimensional array.
db : R → 2 T D. that maps the relation names in R to finite subsets of T D, such that for every relation name r in R and tuple t in db(r) it holds that dom(t) = h(r). The latter requirement simply says that all the tuples in a relation should contain the same column names, namely those defined for it in the schema.
For example, a table of 128 rows with a Boolean column requires 128 bytes a row-oriented format (one byte per Boolean) but 128 bits (16 bytes) in a column-oriented format (via a bitmap). Another example is the use of run-length encoding to encode a column.
A record with fields x, y, and z would thus belong to the type of records with fields x and y, as would a record with fields x, y, and r. The rationale is that passing an ( x , y , z ) record to a function that expects an ( x , y ) record as argument should work, since that function will find all the fields it requires within the record.
For example, a database that represents company contact information might have the following columns: ID, Company Name, Address Line 1, Address Line 2, City, and Postal Code. More formally, a row is a tuple containing a specific value for each column, [ 4 ] for example: (1234, 'Big Company Inc.', '123 East Example Street', '456 West Example ...