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.
Data scientists, the most popular job in India, according to a recent study the demand for Data Scientist has increased by 400% in the past one year.
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Instagram is the largest photo sharing social media platform. 100 million photos and videos are uploaded on Instagram every day. A massive amount of data is generated and it is not possible for humans to analyze that amount of data. So they use the Python programming language to analyze data.
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According to job report 2018 of LinkedIn, job openings for Data Scientists is increasing by 45% year-on-year basis. It's a loud call out for all data aspirants.
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The technology is witnessing extraordinary changes. Nowadays, journalists are using ML for analyzing massive sets of data and the combination of ML and journalism provides deep analysis reports.
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The global hadoop market is witnessing a massive growth in past 5 years and trend continues. According to study report from hadoop, it is growing at a CAGR of 39.49% during the period 2017-2021.
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