R Programming: What is Tidyverse?

Libraries

R Programming Language

Data Science

Tidyverse

  1. ggplot2: Used to create interactive graphs and charts. A must for data visualization purposes.
  2. dplyr: Used to easily handle data manipulation tasks.
  3. tidyr: Used to Format and cleanup data.
  4. readr: Used to quickly read formatted data.
  5. purrr: Add new features to R’s functions and vectors to improve logic and efficiency.
  6. tibble: Uses an improved data frame which promotes code efficiency and code readability.
  7. stringr: Adds additional functionality to work with strings.
  8. forcats: Used to handle categories of variables.
install.packages("tidyverse")
install.packages("ggplot2")
library(tidyverse)

--

--

--

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Introduction to .NET Events and Event- Handlers

Programming is not just about learning and writing code

Run your application on multiple servers and rely on Nginx load balancer

Ubuntu: Get the RAM size

10 Ways to Speed Up a WordPress Website

Launching EC2 Instance using AWS CLIv2

Life is a journey of twists and turns, peaks and valleys, mountains to climb and oceans to explore.

Deploying ELK Stack for Apache Logs Analysis

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Jesse L

Jesse L

More from Medium

Data Structure in R programming

Summary on Cyclistic — Chapter 2: How I Survived Cleaning the Data

Applying glimpse(tripdata_202107), the contents and data types of 13 columns are revealed on R console.

SAS vs R: Which Is The Difference And Which One Is Better?

All About R Programming

R Programming Language