A data analyst working in R needs to perform a complete data analysis workflow, including importing, cleaning, manipulating, and visualizing a dataset. They want to use a collection of packages that share a common design philosophy and are designed to work together effectively. Which of the following options represents this collection of packages?
The correct answer is tidyverse. The tidyverse is a collection of R packages specifically designed for data science that share a common grammar and data structures. It includes packages for the entire data analysis workflow, such as readr for importing, dplyr for manipulation, tidyr for cleaning, and ggplot2 for visualization.
pandas is a data analysis and manipulation library for the Python programming language, not R.
Anaconda is a distribution platform for Python and R that simplifies package and environment management; it is not the package collection itself but a tool to manage packages like the tidyverse.
ggplot2 is a powerful data visualization package and a core component of the tidyverse, but it does not cover the other tasks mentioned in the scenario, such as data importing and manipulation.
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