Ever wonder where to begin your data analysis? Exploratory Data Analysis (EDA) is often the best starting point. Take the new hands-on course from Kaggle &  DataCamp “Data Exploration with Kaggle Scripts” to learn the essentials of Data Explor...

Last Thursday the Cologne R user group came together again. This time, our two speakers arrived from Bavaria, to talk about Spark and R Server.Introduction to Apache SparkDownload slidesDubravko Dulic gave an introduction to Apache Spark and why Spark might be of interest to data scientists using R. Spark ...

Originally posted on Math with Bad Drawings: Wonderfully simple depiction of why you should take a lot of statistics with a pinch of salt. You need to look deeper and explore the underlying distribution. Math with Bad Drawings View original post

SQL being the most popular used query language for deep diving from small data to so called big data. However, there are many other languages like R which are growing in the user community for stats and graphical methodology models and plot data to match the data scientists mind. R ...

Marcus Beck (USEPA) Laura DeCicco (USGS-OWI) Introduction EGRET is an R-package for the analysis of long-term changes in water quality and streamflow, and includes the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS). It is available on CRAN. More information can be found at https://github.com/USGS-R/...

As I was previously unaware of this book coming up, my surprise and excitement were both extreme when I received it from CRC Press a few weeks ago! John Chambers, one of the fathers of S, precursor of R, had just published a book about extending R. It covers some ...

Today I am happy to announce the R Shapefile Contest. The goal of the contest is to encourage and promote high quality work at the intersection... The post Announcing the R Shapefile Contest appeared first on AriLamstein.com.