The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

Get required data for analysis either from twitter using searchTwitter() function, or from facebook using getPage() & getPost(). Or you can read a csv with read.csv() function. Clean the data and ...

In part 1 of our hands-on series, we explain why R's a great choice for basic data analysis and visualization work, and how to get started.

How best to manage data using R programming. While the analytics world is being transformed by the EU’s General Data Protection Regulation, marketers are discovering a potential new solution to ...

Therefore, R is the ideal language for predictive data analysis. Getting Started With R If you’re interested in learning R, here are some great resources you can use that are both free and paid.

RRE7 includes a library of R algorithms that can be run in parallel across multiple nodes, which is how Hadoop manages large data sets. RRE 7 can be added to the Cloudera CDH3 and CDH4 Hadoop ...

Zimana has provided analysis services using Google Analytics, R Programming, Python, JavaScript and other technologies where data and metrics abide. Connect with Pierre DeBois: Main image: Cris DiNoto ...

The R programming language leans more frequently to the cutting edge of data science, giving businesses the latest data analysis tools. The problem: With loose standards and scores of diverse ...