R's steep learning curve is unique among other languages like Java and Python. Don't let this discourage you from learning R code.
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Unlike Python, R was specifically designed to support data analysis and mathematical calculations.
Data scientists all over the globe use R, and for good reason. R has almost all of the features that data scientists require, according to O'Reilly Media's 2014 survey. R is the most used programming language by data science professionals.
R allows you to run data science calculations with no compiler. This makes it easier to develop code. R is also a statistical language so you can easily convert statistical models to code with R.
Data science has seen a significant increase in importance as data has become more important to the tech industry. StackOverflow reports that R is the most popular programming language in the world. This shows just how widespread the technology is.
R is so well-known that it is easy to find other developers who can help you with your problems. It is well-documented. You should not have any trouble finding a solution on sites such as StackOverflow.
R is more than a language for data analysis by hobbyists. It is also the language that the major players in the industry use. R is used to perform machine learning, deep learning, statistical programming and business analytics.
Facebook, for example, uses R to analyse status updates and conduct behaviour analysis. Google uses R for measuring the effectiveness of its advertising campaigns.
Microsoft purchased the Revolution R company, and uses R throughout its business. Mozilla, Merck and TechCrunch are just some of the many companies that use R.
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