This is a nice post John D. Cook Consulting introducing R language to experienced programmers. It is important since R language is not one of the popular languages among programmers who are not working on data science field. This post would be very benefial for the people who consider a career change to data science from a programming background.
Applied Spatial Data Science with R
This a comprehensive for using R language for Spatial Data Analysis. Spatial data identifies the geographic location of features nad boundaries on Earth. It is generally stored as coordinates and topology and can be mapped. This means that in order to analysis these type of data, different R packages should be used and this article gives valuable information on this topic.
Analyzing Yelp data using R and ggplot2
This is an hands-on practice on analysis of Yelp data using R and ggplot2 by Max Woolf. This article is also supported by a video shoot by Max Woolf.
DPLYR: How to do data manipulation with R
This an introductry article for DPLYR package in R. However, this is quite important since 80% of data science work will be data manipulation most of the time and DPLYR is one of the most useful R packages.
Common qestions on ggplot2 package
Visualizing data is crucial in today’s world. Without powerful visualizations, it is almost impossible to create and narrate data based stories on humongous data. These stories help us build strategies and make intelligent business decisions.