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Which of the following packages is specifically designed for data manipulation tasks in R?

  1. readr

  2. ggplot2

  3. dplyr

  4. tidyr

The correct answer is: dplyr

The package specifically designed for data manipulation tasks in R is dplyr. This package provides a set of functions that enable users to perform operations such as filtering rows, selecting columns, rearranging data, and summarizing data with ease. dplyr is part of the tidyverse, which is an ecosystem of packages designed for data science that share an underlying philosophy and common APIs. While readr is useful for reading and writing data, it does not focus on manipulating that data. ggplot2 is primarily used for data visualization instead of manipulation, allowing users to create sophisticated graphics based on the data. tidyr is designed to help users tidy their data, meaning it helps transform data into a format where each variable is a column and each observation is a row, but it does not include the full suite of data manipulation functions provided by dplyr. Therefore, dplyr stands out as the go-to package for tasks specifically centered around data manipulation within R.