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My previous article shows an example in which data analysis requires a structured framework with R and OOP. In order to explain how to build the framework this article describes how to do that in more detail. Using OOP means … Continue reading → [Read more...]

Data analysis deals with different kinds of data. For instance we can have supermarket sales with - a transactional table, with customer ID, item ID, date of purchase - an item table, with the item ID and its price - … Continue reading → [Read more...]

R can be connected with Hadoop through the rmr2 package. The core of this package is mapreduce() function that allows to write some custom MapReduce algorithms. The aim of this article is to show how it works and to provide … Continue reading → [Read more...]

[This article was first published on Milano R net, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your [Read more...]

Since R uses the computer RAM, it may handle only rather small sets of data. Nevertheless, there are some packages that allow to treat larger volumes and the best solution is to connect R with a Big Data environment. This … Continue reading → [Read more...]