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<p>R programming is an efficient tool for statistical analysis of data. Data science has become critical to each field and the popularity of R is skyrocketing. Organization as large and diverse as Google, Facebook, Microsoft, Bank of America, Ford Motor Company, Mozilla, Thomas Cook, The New York Times, The National Weather Service, Twitter, ANZ Bank, Uber, Airbnb etc . have turned to R for reporting, analyzing and visualization of data, this book is for students and professionals of Mathematics, Statistics, Physics, Chemistry, Biology, Social Science and Medicine, Business, Engineering, Software, Information Technology, Sales, Bio Informatics, Pharmacy and any one, where data needs to be analyzed and represented graphically.</p><p> Salient features of the book</p><p><br></p><p>Explains R concept in a simple method.</p><p>Best self-study material and reference guide.</p><p>Teaches how to apply various statistical methods to data science.</p><p>Help statistician and professional to leverage strength by combining their domain expertise with data analysis capability of R.</p><p>More than 300 solved and tested programmes provided.</p><p>A comprehensive book covering all areas of R in detail.</p>
