Why R?

The style of coding is quite easy.
It’s open source. No need to pay any subscription charges.
Availability of instant access to over 7800 packages customized for various computation tasks.
The community support is overwhelming. There are numerous forums to help you out.
Get high performance computing experience ( require packages)
One of highly sought skill by analytics and data science companies.

R vs Python

The R users are generally not as confident in their programming skills.
People using R tend to have these backgrounds in biology or marketing.
R is a weird language but it is weird for good reasons, and it’s a really good fit for data science.
R is not a general purpose programming language like Python, but there are good reasons for a lot of the things it does.
For a lot of people using Python, it’s the only programming language they have used.
There are multiple ways of attacking the same problem, and sometimes the reason R is different is good.

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