Why is R important for data science?



Why is R important for data science?..

Answer / Kuldeep Kumar Pal

R is important for data science due to its robust statistical and graphical capabilities, extensive libraries, and open-source nature. It allows data scientists to perform various tasks such as data manipulation, statistical analysis, machine learning, and visualization. Its active community also contributes to a wealth of resources, including tutorials, packages, and discussion forums.

Is This Answer Correct ?    0 Yes 0 No

Post New Answer

More R Programming Interview Questions

What is iPlots?

1 Answers  


What is s3 in r?

1 Answers  


What are the data structures in R that are used to perform statistical analyses and create graphs?

1 Answers  


What does not ‘r’ language do?

1 Answers  


How can we create a table using R language without using external files?

1 Answers  


What are Characteristics of R Hierarchical Clustering?

1 Answers  


Explain r graphics devices?

1 Answers  


How would you join multiple strings together?

1 Answers  


What is r vector?

1 Answers  


What is power analysis ?

1 Answers  


Which function is used to write files?

1 Answers  


Why is R Good for business?

1 Answers  


Categories