R book review: Two approaches to learning data science

R book covers

In 2012, the Harvard Business Review declared data scientist “the sexiest job of the 21st century”. Six years on it is still “America’s Hottest Job”, according to Bloomberg. As a statistician or data analyst you might be willing to give it a try. Of course, you need to know R. And both Modern Data Science with R (MDSR) and R for Data Science (R4DS) may help you find your way.

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The pick of R packages

graph beatles lyrics

Our August 2018 cover story celebrates the 25th anniversary of the creation of R, the statistical programming language that became a subcultural phenomenon. While researching R’s history, community and culture, our reporter Nick Thieme interviewed a number of active R users and developers – and he invited them to tell our readers about some of the things they love most about R: specifically, the packages.

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Cargo-cult statistics and scientific crisis

smashed beaker

Poor practice is catching up with science,1-3 manifesting in part in the failure of results to be reproducible and replicable.4-7 Various causes have been posited,1, 8 but we believe that poor statistical education and practice are symptoms of and contributors to problems in science as a whole.

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Data, debt and disaster - and a fight for independence - in Puerto Rico

Puerto Rico storm damage

Puerto Rico is in bad shape. Its government is burdened by a debt of $70 billion, while two ferocious storms in September are estimated to have caused up to $95 billion in damage, deepening the island’s economic woes and upending daily life for many of its inhabitants. Residents could therefore be forgiven for caring little about the fate of the Puerto Rico Institute of Statistics (PRIS), whose executive director, Mario Marazzi, is engaged in a legal fight to secure its independence.

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