The growth and popularity of R programming have been helping data-driven organizations succeed for years. Nearly every industry now sees data and analytics as a strategic competitive advantage, and R is the language of choice for the data analyst. Because of its popularity, not only is R helping drive success for companies using it, it’s driving its success as the industry standard for using data effectively. Here are a few examples of how companies use R to drive their bottom line.
According to the latest report of Tiobe index, python beats C++ in popularity ranking. Python breaks all records and achieving into the top 3 rank into tiobe index report.
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According to a latest report from Zion Market Research, the global hadoop market was USD 7.69 billion in 2016 and is expected to reach approximately USD 87.14 billion by 2022. Growing at a CAGR of 50% between 2017 and 2022.
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Today’s travelers are creating more and more digital data, helping savvy tourism operators refine their product and grow their revenue.
Many industry players are now using data analytics services to manage and process their marketing information – tracking patterns, predicting behaviors and organizing data into clear and detailed reports.
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The product manager of google said that google app engine is supporting python (3.7) programming language and they are ready to use it in the next 25 days.
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