## Why is R so difficult?

The most difficult time people have learning R is when functions don’t do the “obvious” thing.

For example when sorting data, SAS, SPSS and Stata all use commands appropriately named “sort.” Turning to R, they look for such a command and, sure enough, there is one named exactly that..

## What can R do that Excel can t?

Excel’s spreadsheets have a finite number of rows and columns, however, so you’ll be unable to analyze massive datasets that can be handled with R. … If you’re looking to do anything beyond basic statistical analysis, such as regression, clustering, text mining, or time series analysis, R may be the better bet.

## Why is R so popular?

According to Spectrum Survey conducted by IEEE, R ranks 7th among the top 10 Programming Languages of 2018. It is among the most sought after programming languages looked by most of the recruiters today. The reason behind this popularity of R is because of its nature to be used for statistical computing.

## Should I learn C++?

Since C++ is rather lower level, the language is huge and you will need to handle a lot of complex things such as memory management and more. … As such, since it’s easy for a coding beginner to go astray when learning C++, we strongly recommend learning C++ with a mentor.

## How many R users are there?

two million usersR easily has more than two million users around the world, but where is R activity the most concentrated?

## What is the future of R?

The future of R programming is promising & is trending now since it is simple & easy language for the people who are new to programming. A Data Scientist records, stores & analyzes data to draw meaningful insights from it. R is considered as the most appropriate tool for handling data in an efficient manner.

## Is R more powerful than Python?

Python has caught up some with advances in Matplotlib but R still seems to be much better at data visualization (ggplot2, htmlwidgets, Leaflet). Python is a powerful, versatile language that programmers can use for a variety of tasks in computer science.

## What is r best for?

R is a highly extensible and easy to learn language and fosters an environment for statistical computing and graphics. All of this makes R an ideal choice for data science, big data analysis, and machine learning.

## Is R losing to Python?

R vs Python: R’s out of top 20 programming languages despite boom in statistical jobs. Statistical programming language R has fallen off Tiobe index’s list of the 20 most popular languages, having spent three years in the top tier.

## Will R become obsolete?

Obsolete is a strong word, but R is being replaced by Python for data science. R is likely to continue to have a place in data science for many years to come, but its role is somewhat niche and more so every year as Python continues to eat up its marketshare.

## Is R language dying?

Yes, according to some folks in the IT industry, who say R is a dying language. … At its peak in January 2018, R had a popularity rating of about 2.6%. But today it’s down to 0.8%, according to the TIOBE index.

## What are the disadvantages of R?

Disadvantages of R ProgrammingWeak Origin. R shares its origin with a much older programming language “S”. … Data Handling. In R, the physical memory stores the objects. … Basic Security. R lacks basic security. … Complicated Language. R is not an easy language to learn. … Lesser Speed. … Spread Across various Packages.