Why do people use R?

Why do people use R? : r/datascience - Reddit

I don't understand why it's used over python. At least to me, it just seems like a more situational version of python that fewer people know.

Why do some people insist on using R instead of Python when they ...

People choose R over Python for data science because of its specialized packages for statistical analysis and data visualization. R provides ...

Why You Should Become a UseR: A Brief Introduction to R

R is a programming language for statistical computing and graphics that you can use to clean, analyze, and graph your data.

What is R? - An Introduction to The Statistical Computing Powerhouse

Although it's primarily a functional and domain-specific language, R can even be used for some object-oriented programming tasks. Experts may also use R for ...

Why and How People Use R | Lambda the Ultimate

The slides say that R is popular despite being ugly, slow and not well tooled, because it is convenient, free, and has an efficient global code ...

Overview, its Applications and what is R used for - Simplilearn.com

R offers a wide variety of statistics-related libraries and provides a favorable environment for statistical computing and design. In addition, the R ...

What is R Coding Language and Why is it so Important? - Emeritus

Almost two milliondata scientists and statisticians worldwide use R coding to develop business applications. Here are some of the examples that ...

Is R on the decline?. R programming language is one of my all…

R with tidyverse is great for data analysis. It is has a low learning curve, easy setup and you can show instant results. It has a great deal of ...

What Is R Used For? Exploring The R Programming Language

R is also used for sales modeling and targeted advertising in retail. Both Amazon and Flipkart use the R programming language for data analytics ...

R programming for beginners - Why you should use R - YouTube

R programming is typically used to analyze data and do statistical analysis. In this video, I talk about why R is a better option than other ...

Why do people use R-Programming? - Medium

R is a custom-built statistical programming language and software environment for statistical analysis, visual representation, and reporting. R ...

R, unfortunately, is also one of the most ill-designed yet popular ...

It's a perfectly fine general-use scripting language. I think the real reason R gets such a bad reputation is that a lot of people writing and publishing R code ...

No, you are wrong. R is *terrible*, and especially so for non ...

The reason is its strong tendency to fail silently (and, with RStudio, to frequently keep going even when it does fail.) As a result, people get garbage results ...

What Is R Programming? Use Cases and FAQ | Coursera

Most commonly, the R language is used for data analysis and statistical computing. It's also an effective tool for machine learning algorithms.

Why Learn R? 10 Handy Reasons to Learn R programming Language

R is the most popular language in the world of Data Science. It is heavily used in analyzing data that is both structured and unstructured.

Why R programming language still rules Data Science? - ProjectPro

R language is used by more than 2 million statisticians and data scientists across the world, and with the wider adoption of R language for ...

Six Reasons Why You Should Learn R for Data Science - Dataquest

Since so many statisticians use and contribute to R packages, you're likely to be able to find support for any statistical analysis you need to ...

Why Learn R Programming? - Noble Desktop

R is an open-source programming language frequently used by Data Scientists and Business Analysts for tasks involving statistical analysis. · R provides users ...

Why we love using R programming for data analysis - YouTube

If you need to analyze data or do statistical analysis then we seriously recommend that you consider using R programming.

R (programming language) - Wikipedia

R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, ...