analysis-pipelines

Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as modeling steps. Data scientists can use tools of their choice through an R interface, and compose interoperable pipelines between R, Spark, and Python.

muHVT

Constructing hierarchical Voronoi tessellations for a given data set and overlay heatmaps for variables at various levels of the tessellations for in-depth data analysis. Credits to Mu Sigma for their continuous support throughout the development of the package.

RImpala

RImpala is an R package that helps you to connect and execute distributed queries using Cloudera Impala

netlogo-kafka-extension

Rdrools

An interface for using the popular Java based Drools, which is a Business Rule Management System (See <https://www.drools.org> for more information). This package provides data scientists an intuitive interface to execute business rules on datasets for the purpose of analysis or designing intelligent systems, while leveraging the Drools rule engine. Rules written in DRL format accepted natively by Drools can also be executed through an R interface. Credits to Mu Sigma for their continued support throughout the development of the package.