Why is r programming the ‘it’ data analytics tool

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Why Is R Programming The ‘IT’ Data Analytics Tool?

With Data Science coming into the lime light lately, many of the tools used for data analytics have been the talk of the town. Data analytics is basically a field, where huge volumes of data is accumulated, structured, organized and studied. This analysis leads to drawing of insights, where certain patterns are seen and are recognized and decisions are taken to further the business. With so much data being generated, the field of data analytics is fast becoming the most sought after. There are various tools to aid in the process of Data Analytics like Python, SAS programming, R programming, Pig, Hadoop and many more. R programming is one of the tools in used in the data analytics industry. It is a statistical software and programming language, which had its beta version released in 2000. Since then, this tool’s popularity has been on the increase up to the fact that, it has become the highest paid skill today. Statistics state that there are around more than 70% people in the data analytics industry, who prefer using R programming. One of the major reasons why R programming is the go to tool is the fact that it is an open source. This means that R programming can be downloaded by anyone from anywhere and is not as expensive as the other tools. There are a lot of students and small firms using this data tool due to the fact that it is readily available and quite reliable.


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