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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]
The existence of substantial of good statistical algorithms, access to high-quality numerical routines, and integrated data visualization tools are perhaps the strongest qualities to prefer R to other languages for scientific computation. Bibliometrix supports scholars in key phases of analysis: Data importing and conversion to R data-frame;
The book was published by O'Reilly in July 2017 and is a guide to drawing insights from text using the tidytext package in R. [6] Another book authored by Robinson is Introduction to Empirical Bayes: Examples from Baseball Statistics, an e-book demonstrating the statistical method of empirical Bayes, based on the example of estimating baseball ...
MCA is performed by applying the CA algorithm to either an indicator matrix (also called complete disjunctive table – CDT) or a Burt table formed from these variables. [citation needed] An indicator matrix is an individuals × variables matrix, where the rows represent individuals and the columns are dummy variables representing categories of the variables. [1]
Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).
Image source: The Motley Fool. Prologis (NYSE: PLD) Q4 2024 Earnings Call Jan 21, 2025, 12:00 p.m. ET. Contents: Prepared Remarks. Questions and Answers. Call ...
Because both orientations represent the same data, it is possible to convert a row-oriented dataset to a column-oriented dataset and vice-versa at the expense of compute. In particular, advanced query engines often leverage each orientation's advantages, and convert from one orientation to the other as part of their execution.
In computing and data management, data mapping is the process of creating data element mappings between two distinct data models.Data mapping is used as a first step for a wide variety of data integration tasks, including: [1]