Getting Started with R (Chapter 1 Episode 1)

R is both a programming language and an environment used in data analytics, statistical computing, and scientific research. It is amongst the best programming languages for researchers, data analysts, statisticians, and marketers. They use R to retrieve, clean, analyze, visualize and then present their data. Some of the reasons behind the increasing popularity in the use of R are an easy to use interface and more expressive syntax.

R is interpreted rather than being compiled. This means that we have the R interpreter. R is available for free under the GNU General Public License, and its pre-compiled binaries are available for various operating systems including Windows, Linux, and Mac OS. R was developed by Ross Ihaka and Robert Gentleman at the University of Auckland in New Zealand. The name R was derived from the first name of the two developers of the language, Ross and Robert. R has been extensively used in performing data analysis tasks. This is because it is good for computing the various statistical measures from both small and huge sets of data. The language has numerous libraries that can be used for data processing. Other than that, R is a good tool for data visualization. It makes it easy for us to represent data using graphs and charts. This makes it easy for one to derive patterns, trends, and relationships from datasets. R just like python is a great tool for data science as it has libraries that solves data science problems. The syntax are very much similar to python, so anyone with a background in python will transition effortlessly to R. However, it has it's pit holes as it does not support other programming languages like python does. To get started with R, you need to install a few things.

R Environment Setup

To download R on your Operating , you need to install R and R studio. Link is provided below:

• R software click here to download

• R studio click here to download