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Top 20 R Libraries for Data Science in 2018

May 22, 2018

R is a well-known and increasingly popular tool in the Data Science field. It is a programming language and a software environment primarily designed for statistical computing, so its interface and structure are very well suited for the scientific tasks. Moreover, R has one of the most developed libraries systems that counts thousands of packages to solve a wide variety of problems. Although there are many general-purpose packages, we want to focus on those that provide sufficient capabilities for data manipulation, visualization, competitive research, and machine learning. Therefore, we have prepared an infographic of Top 20 R packages for data science, which covers the libraries main features and GitHub activities, as all of the libraries are open-source.

Spotlight

Synerzip

Synerzip works as a co-development partner for venture-backed software companies in their growth phase. Following Agile practices, Synerzip seamlessly dovetails with each client’s engineering team; helping them scale up, in a flexible, capital-efficient and frictionless manner. For each client, Synerzip creates a software team that is tailored for them - with required skill mix, including mobile, cloud, big-data analytics and enterprise software…

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Top 20 R Libraries for Data Science in 2018