See how to join two data sets by one or more common columns using base R’s merge function, dplyr join functions, and the speedy data.table package. R has a number of quick, elegant ways to join data ...

# with the License. You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 #' Change the type of an array or column #' This is a wrapper ...

In the last two chapters, we introduced several R functions that can be used to work with data. These included functions such as unique, names, str, summary, aggregate, and others. These are “base” R ...

The dplyr package in R is a powerful and widely used package designed for data manipulation and transformation. Developed as part of the tidyverse ecosystem, dplyr provides an intuitive and consistent ...

Prerequisite: Introduction to R for Absolute Beginners or some experience using R. The dplyr package is a popular R package that people often use to manipulate and join datasets. You will need to have ...

This week we cover dplyr, the grammar of data. Dplyr is complicated at first but the payoff is worth the effort. dplyr allows for easy manipulation of data and easy to read code. It can be combined ...

Do you want to analyze data that resides in Google BigQuery as part of an R workflow? Thanks to the bigrquery R package, it’s a pretty seamless experience — once you know a couple of small tweaks ...