If you’re already encountered some basic programming knowledge in Python, Swift, or C, to name a few, you’ll be able to catch onto R’s syntax fairly quickly. R, developed in 1993 at the University of Auckland, is one of many popular open-source programming languages. You can use the clickable menu to skip ahead to any section. What is RStudio used for in data analytics?.You’ll get a deeper understanding of why it’s so popular among data analysts and leave with practical examples on how you can launch your next data modeling task with this tool. In this article, we’ll take a look at the programming language R, the key features of RStudio, and how and when you can best utilize RStudio’s IDE for your own projects. Whether you’re a researcher, data analyst, or a hobby statistician, RStudio’s user-friendly interface is easy to learn and use effectively. RStudio’s widespread adoption by the data analytics community can be attributed to how it offers users an integrated and simple approach for conducting data analysis, visualization, and statistical modeling. RStudio has become the most popular integrated development environment (IDE) for R users since it was launched in 2011 by Posit, an open-source data science company.

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