Twitter uses R for Data Visualization and Semantic Clustering. Twitter has created some super impressive projects using R. They also have created open-source packages for anomaly and breakout detection, which has helped improve their customer experience.
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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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Python is the top programming language. A python programmer can get jobs easily in a wide range of industries. Since Python is highly adaptable and can be easily integrated into a web application, python programmers are able to find more economic prospects.
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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.
