Which of the following is the most important language for Data Science?

Java
Ruby
R
None of the mentioned

The correct answer is C. R.

R is a programming language and software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Labs. R can be considered as a dialect of S.

R is widely used among statisticians and data miners for developing statistical software and data analysis. It is also used by many non-statisticians for general-purpose programming and data manipulation.

R is a free and open-source software, which means that it is available to everyone at no cost. It is also cross-platform, which means that it can be run on a variety of operating systems, including Windows, macOS, and Linux.

R has a large and active community of users and developers. There are many resources available for learning R, including books, tutorials, and online forums.

R is a powerful and flexible programming language that can be used for a variety of tasks. It is a popular choice for data science because it is well-suited for statistical computing and graphics.

Here are some of the reasons why R is the most important language for Data Science:

  • R is a powerful and flexible programming language that can be used for a variety of tasks.
  • R is well-suited for statistical computing and graphics.
  • R is a free and open-source software, which means that it is available to everyone at no cost.
  • R is cross-platform, which means that it can be run on a variety of operating systems.
  • R has a large and active community of users and developers.
  • There are many resources available for learning R, including books, tutorials, and online forums.
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