dplyr, is a R package provides that provides a great set of tools to manipulate datasets in the tabular form. dplyr has a set of core functions for “data munging”,including select(),mutate(), filter(), groupby() & summarise(), and arrange(). dplyr’s groupby() function is the at the core of Hadley Wickham’ Split-Apply-Combine paradigm useful for most common data […]
R
dplyr filter(): Filter/Select Rows based on conditions
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 […]
dplyr arrange(): Sort/Reorder by One or More Variables
dplyr, R package part of tidyverse suite of packages, provides a great set of tools to manipulate datasets in the tabular form. dplyr has a set of core functions for “data munging”,including select(),mutate(), filter(), summarise(), and arrange(). And in this tidyverse tutorial, we will learn how to use dplyr’s arrange() function to sort a data […]
SVD: One Matrix Decomposition to Rule Them All
One of the nice things about twitter, when you follow awesome people, is that you will come across tweets that will just blow your mind. Last week is just one such week with some fantastic and funniest tweetorials. One of the tweetorials was from Prof. Daniela Witten for @WomenInStat. And it starts like this and […]
dplyr mutate(): Create New Variables with mutate
dplyr, R package part of tidyverse suite of packages, provides a great set of tools to manipulate datasets in the tabular form. dplyr has a set of core functions for “data munging”,including select(), mutate(), filter(), summarise(), and arrange(). And in this tidyverse tutorial, a part of tidyverse 101 series, we will learn how to use […]