How to Use dplyr in R: Data Manipulation Examples

Data Preprocessing

How to Use dplyr in R: Data Manipulation Examples

How to Use dplyr in R: Data Manipulation Examples

Key points: Dplyr is a package that provides a grammar of data manipulation in R, consisting of verbs that help you perform everyday data manipulation tasks. You can use dplyr to count values that meet certain conditions, find descriptive statistics, apply functions to each data frame row, and join two tables. You can install and load dplyr with install.packages("dplyr") and library(dplyr). You can chain multiple dplyr functions using the pipe operator %>%, which reads as "then". Hi, I'm Zubair Goraya, a data analyst and a writer for Data Analysis, a website that offers tutorials on Rstudio. In this article, I will show you how to use dplyr, a powerful package for data manipulation in R. You will learn to count values that meet certain conditions, find descriptive statistics, and apply functions to each data frame row. You will also learn how to install and load dplyr and its main features and benefits. R Data Manipulation with dplyr: A Hands-On Guide Dplyr is a pa…

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