dplyr, R package that is at core of tidyverse suite of packages, provides a great set of tools to manipulate datasets in the tabular form. dplyr has a set of useful functions for “data munging”, including select(), mutate(), summarise(), and arrange() and filter(). And in this tidyverse tutorial, we will learn how to use dplyr’s… Continue reading dplyr filter(): Filter/Select Rows based on conditions