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 |
What is iPlots?
What is s3 in r?
What are the data structures in R that are used to perform statistical analyses and create graphs?
What does not ‘r’ language do?
How can we create a table using R language without using external files?
What are Characteristics of R Hierarchical Clustering?
Explain r graphics devices?
How would you join multiple strings together?
What is r vector?
What is power analysis ?
Which function is used to write files?
Why is R Good for business?