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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]
tidyr – help transform data specifically into tidy data, where each variable is a column, each observation is a row; each row is an observation, and each value is a cell. readr – help read in common delimited, text files with data; purrr – a functional programming toolkit; tibble – a modern implementation of the built-in data frame data ...
Data Analysis. Normalization • couplingSimilarity() • It calculates Jaccard or Salton similarity coefficient among manuscripts of a coupling network: Data Analysis. Data Reduction. External functions from other R packages: Other R packages suggested for bibliometric analysis • factominer: for PCA and MCA
R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
Programming with Big Data in R (pbdR) [1] is a series of R packages and an environment for statistical computing with big data by using high-performance statistical computation. [ 2 ] [ 3 ] The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners for developing statistical ...
Utilities have outperformed in recent months, with the MSCI ACWI Utilities index up around 20% year-to-date as AI data centers have driven up US electricity usage. Meanwhile, the analysts are ...
Data source defines where the data comes from. There are various data sources available in RevoScaleR, such as text data, Xdf data, in-SQL data, and a spark dataframe. People can wrap their data in a data source object and use that as run analytics in different compute context. Different data sources are available in different compute context.
From November 2010 to December 2012, if you bought shares in companies when Raymond J. Lane joined the board, and sold them when he left, you would have a -66.5 percent return on your investment, compared to a 20.4 percent return from the S&P 500.