R ggplot2 tutorial 

Version info: Code for this page was tested in R version 3. Luckily, the R programming language provides countless ways to make your visualizations eye-catching. GGPlot2 is a powerful and popular R package for producing professional graphics piece by piece. my_plot install. R is the world’s most powerful programming language for statistical computing, machine learning and graphics and has a thriving global community of users, developers and contributors. Aug 26, 2020 · R and its libraries such as ggplot2 provide a useful framework for researchers, data enthusiasts, and engineers to play with data and perform knowledge discovery. Startup. Donot Oct 28, 2021 · In this tutorial, we will explain how to create histogram in R with ggplot2 package which is a very popular open-source package in R for creating visualizations. Using the output of your analysis: Apr 02, 2019 · DC on Predictive modeling and machine learning in R with the caret package; German on R powered web applications with Shiny (a tutorial and cheat sheet with 40 example apps) SGS on Mapping in R using the ggplot2 package; plumber-cranbourne. In this tutorial we will demonstrate some of the many options the ggplot2 package has for creating linear regression plots. 1 A ggplot2 Tutorial for Beautiful Plotting in R; 12. Dec 07, 2021 · Data visualization with R and ggplot2. Prerequisites Load This article provides a gallery of ggplot examples, including: scatter plot, density plots and histograms, bar and line plots, Jan 30, 2022 · In this article, we are going to see how to plot Multi Panel Plots using ggplot2 in R Programming language. A compilation of extra {ggplot2} themes, scales and utilities, including a spell check function for plot label fields and an overall emphasis on typography. A more recent tutorial covering network basics with R and igraph is available here. ggplot2 is an R package used for statistical computing and data representation using data visualization. position_dodge2() works with bars and rectangles, but is particulary useful for arranging box plots, which can have. This markdown is designed to provide an introduction to data Feb 26, 2015 · The R library ggplot2 allows you to create more colorful and complex graphs with far less code. Plotting geospatial data is a common visualisation task, and one that requires specialised tools. com on Easy multi-panel plots in R using facet_wrap() and facet_grid() from ggplot2 Apr 17, 2014 · Draw # a line representing the slope of ATTEND for a realistic range of values. It’s designed for software programmers, statisticians and data miners, alike and hence, given rise to the popularity of Data Science with R certification. 7 Output- Saving Your Plots. To reproduce the code throughout this tutorial you will need to load the ggplot2 package. The first two digits are the level of red, the next two green, and the last two blue. packages ("shiny") Once you have installed, load the Shiny package to create Shiny apps. This is the on-line version of work-in-progress 3rd edition of “ggplot2: elegant graphics for data analysis” published by Springer. It also allows for layered graphs. Aug 09, 2018 · While ggplot2 has many useful features, this post will explore how to create figures with multiple ggplot2 plots. 15, vjust = - 1), col = "red") Have a look at the following R programming tutorials. They are good if you to want to visualize the data of different categories that are being compared with each other. The ggthemes library is something we’ll use later on in the tutorial. This is the supporting ggvis is a data visualization package for R which lets you: Declaratively describe data graphics with a syntax similar in spirit to ggplot2. And then we will learn how to fill the boxes on boxplot by a variable. Width Petal. But sometimes one plot is not enough to derive the Jun 17, 2021 · Output: Method 2: Using reshape2 package. Download Microsoft R Open 4. Though, it looks like a Barplot, R ggplot Histogram display data in equal intervals. The code below calculates a 3, 5, 7, 15, and 21-day rolling average for the deaths from COVID in the US. David Hiebeler maintains a tutorial “Matlab/R Reference” in PDF with some Matlab functions. Adding points on the Jan 30, 2022 · Ggplot2 Cheat Sheet of Essential Functions Here is a downloadable version as a PDF in case you want to have it handy with you as you navigate ggplot2 and data visualization in R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials. This lesson covers packages primarily by Hadley Wickham for tidying data and then working with it in tidy form, collectively known as the “tidyverse”. ggplot2 - R's famous package for making beautiful graphics. ggplot2 generates aesthetically appealing box plots for categorical variables too. 1 1In order to give an indication of how large the user base of ggplot2 is, we looked at its usage statistics Aug 23, 2020 · Fortunately it’s easy to create boxplots in R using the visualization library ggplot2. Downloading/importing data in R. In R, a colour is represented as a string (see Color Specification section of the R par function). A variety of different subjects ranging from plotting options to the formatting of plots is given. 1 Introduction. Jan 16, 2022 · In this article, we will go through the tutorial for box plot in ggplot2 function of R which is a popular visualization package. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi Aug 13, 2018 · ggplot2 tutorial - R Bootcamp 2018 Alicia Vallorani August 13, 2018. 12. Feb 01, 2019 · We used R and in particular R’s data visualisation package ggplot2 for data exploration, to visualise patterns and help us understand the data and find stories. We can customize the world map by changing the world map color and adding country lines visible. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. It means that relatively complex plots are built up of modular parts, which you Sep 23, 2014 · You'll want to press the "publish" button on the generated RPub preview to push the RPub online with a live graph. Plots are one of the most important aspects of data visualization. 1 Yearly calendar plot in R. Example 2. In this R tutorial, you will learn R programming from basic to advance. Jan 10, 2016 · Get the tutorial PDF and code, or download on GithHub. As you click through, you'll notice that some tutorials have ribbons on their logos - they are part of our free and self-paced online course Data Science for Ecologists and Environmental Scientists! Search Tutorials. New to Plotly? Plotly is a free and open-source graphing library for R. R users are doing some of the most innovative and important work in science, education, and industry. Data Visualization in R – Upgrade your R Skills to become Data Scientist! Going further in our R tutorial DataFlair series, we will learn about data visualization in R. a data. It can greatly improve the quality and aesthetics of your graphics, and will make you much more efficient in creating them. It is a no-nonsense, easy-to-follow hands on tutorial. 0 International License. To change color we use color and fill argument inside aes() function. To access this full tutorial and download the source code you must be a Dec 07, 2020 · Learn to make and tweak bar charts with R and ggplot2. ggplot2 Tutorial. Now, let’s explore each of these traits of R. Username or Email. ggplot2 is a R package dedicated to data visualization. Visualisation is an important tool for insight generation, but it is rare that you get the data in exactly the right form you need. To follow along with this tutorial, you will need an Ubuntu 18. Tags: ggplot2, R, histogram, density, density plot, box plot, violin plot Data science code, datasets and more. 2. This is the website for “Interactive web-based data visualization with R, plotly, and shiny”. Let’s review how ggplot2 basically works, starting with an in-depth look at the inbuilt data available in R. For example, in the table below, “#FFFFFF” is white and “#990000 Nov 16, 2021 · Histograms with R and ggplot2. 1 Getting Started R ggplot2 Histogram. Focuses on the WHY? See the code for the HOW. ggplot2 Tutorial; ggplot2 - Home; ggplot2 - Introduction; ggplot2 - Installation of R; ggplot2 - Default Plot in R; ggplot2 - Working with Axes; ggplot2 - Working with Legends; ggplot2 - Scatter Plots & Jitter Plots; ggplot2 - Bar Plots & Histograms; ggplot2 - Pie Charts; ggplot2 - Marginal Plots; ggplot2 - Bubble Plots & Count Charts; ggplot2 Nov 23, 2012 · The tutorial uses some classic data sets to build up some spectacular graphics. While this book gives some details on the basics of ggplot2, its primary focus is explaining the Grammar of Graphics that ggplot2 Data Visualization in R – Upgrade your R Skills to become Data Scientist! Going further in our R tutorial DataFlair series, we will learn about data visualization in R. Photo by Luke Chesser on Unsplash. R: Loading commit data Data Visualization with ggplot2. For a single or multi-page app you can use the function runApp where you specify the directory your app. The R ggplot2 dot Plot or dot chart consists of a data point drawn on a specified scale. A histogram is an approximate representation of the distribution of numerical data. 4 Data visualisation using R, for researchers who don’t use R; 12. Data Visualization in R with ggplot2 By: Mike Chapple Course 74,635 viewers Released Apr 11, 2018. Ggplot2 R Tutorial: Bar Charts The Github repository containing all of the code in this ggplot2 in R tutorial can be found here. Learn R Programming with plethora of code examples and use cases. library (shiny) Before we move any further in this R shiny tutorial, let’s see and understand the structure of a Shiny application. Using the output of your analysis: Nov 03, 2021 · Editor's Note: This file was selected as MATLAB Central Pick of the Week. By the end of this tutorial, you will be able to produce beautiful graphics such as this: R tutorial Introduction. The following is an introduction for producing simple graphs with the R Programming Language. In this post, we will first see how to make a simple boxplot in R. Mar 28, 2019 · We can use the following code to create the heatmap in ggplot2: library (ggplot2) ggplot (melt_mtcars, aes (variable, car)) + geom_tile (aes (fill = value), colour = "white") + scale_fill_gradient (low = "white", high = "red") Unfortunately, since the values for disp are much larger than the values for all the other variables in the data frame This video on GGPlot2 In R Tutorial will help you understand one of R's most widely used data visualization libraries. Installation Dec 17, 2021 · R is the most popular data analytics tool as it is open-source, flexible, offers multiple packages and has a huge community. I'm only going to talk about charts. Add the values on the cells, change the color palette and customize the legend color bar Feb 20, 2017 · An even more comprehensive ggplot2 tutorial The aesthetics of a ggplot-graph are the visuals we see in the graph: position, color, shape, size, linetype, etc. rgl - Interactive 3D visualizations with R. 0) only. Tutorials. . ggplot2 externally. Rather than being limited to sets of pre RStudio Cloud. Width Species ## 1 5 ggplot2 externally. # Divide by day, going horizontally and wrapping with 2 columns sp + facet_wrap( ~ day, ncol=2) ggplot2 tutorial - R. He has also contributed a number of data-management packages, of which the most notable is dplyr , and has advocated the use of “tidy” datasets. Jan 31, 2022 · ‘Do More with R’ offers quick video tips on useful things you can do in the R programming language. By Sharon Machlis. 5 Data Visualization - A practical introduction Oct 31, 2017 · An R script with step-by-step explanations as comments, so you can easily follow along with this tutorial And sample data in the data subdirectory: A zipped shapefile from the U. Password. R and click on Run App in the top right. 1 Basic Plotting With ggplot2. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi Introduction. Mar 13, 2019 · Ggplot2 is great at this, but when we’ve isolated the points we want to understand, we can’t easily examine all possible dimensions right in the static charts. Character variables are order in alphabetical order. R is an open-source tool. It includes several layers on which it is governed. K. org/) The R ggplot2 boxplot is useful for graphically visualizing the numeric data group by specific data. May 14, 2020 · The ggplot2 package in R provides a reliable system for describing and building graphs. It’s a straightforward package based on the layering principle. Adding points on the Note. Basic R has multiple, separate functions, each used for creating a specific type of representation: boxplot, histogram, scatter plot etc. screen , and layout are all ways to do this. William Marble. You have to specify NULL within the ggplot function. One of the frequently touted strong points of R is data visualization. Chapter 11 ggplot2. The above map shows income (in-)equality in Switzerland on the municipality level by visualizing two variables at the same time: the Gini coefficient and average income (in Swiss Francs). We will also explore the various concepts to learn in R data ggplot2 Tutorial An Introduction to Data Visualisation in R Gert Janssenswillen (20/02/2017) Before you start. There are many types of density plots in R. Here are a few takeaways from this tutorial: There's generally a method for exploration. This package can be installed using the R function install. packages("devtools") devtools::install_github("hadley/ggplot2") Load into your current R session, and make an example. The focus in this course learning to use ggplot2 to make a variety of visualizations Colors can specified as a hexadecimal RGB triplet, such as "#0066CC". disappointing. They focus on topics such as graphics in R Economics charts in R using ggplot2. However, for ggplot, the library “ggplot2” needs to be installed and read that library like: “library(ggplot2)” in the R environment. package in R provides a reliable system for describing and building graphs. Allaire, and Garrett Grolemund; ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham; RStudio Cheatsheets If you prefer an online interactive environment to learn R, this free R tutorial by DataCamp is a great way to get started. We will first understand the syntax of ggplot2 function geom_boxplot() for boxplot and then see various examples for easy understanding of beginners. However, often you may be interested in ordering the bars in some other specific order. The main plot only shows a subset of the full data, whilst the small subplot shows the full trend and highlights the period shown in the main plot. The RPub shows a Plotly graph of the ggplot2 NBA heatmap from a Learning R post. However the default generated plots requires some formatting before we can send them for publication. data refers to a data frame (dataset). R has several systems for making graphs, but ggplot2 is one of the most elegant and most versatile. You can use it as an extremely handy reference, or cheat-sheet, if you have just started your data science journey with ggplot2 in R, you can use it to help guide you to what you need to get done if you’re looking to Jul 14, 2020 · Seamless R and C++ integration with Rcpp: Tuesday, July 21, 2020 18:00 UTC: 02:00 Sam Tyner Creating beautiful data visualizations in R: a ggplot2 crash course: Thursday, July 23, 2020 01:30 UTC: 02:00 ZJ Dai Easy Larger-than-RAM data manipulation with disk. Instead of faceting with a variable in the horizontal or vertical direction, facets can be placed next to each other, wrapping with a certain number of columns or rows. The ggplot2 library makes plotting both very easy and returns rather nice looking results by default. With ggplot2, you can do more faster by learning one system and applying it in many places. If you have a little more time I would highly recommend to click on the above link. After R is downloaded and installed, simply find and launch R from your Applications folder. In this article, you'll learn how to add titles, subtitles, captions, labels, change colors, line styles, and widths - and much more. Last update. In this tutorial, A List of ggplot2 extensions. R is used for data science and machine learning tasks. The R graph. Oct 16, 2020 · The ggplot() function, which is used in this tutorial is housed within the tidyverse library. This vignette. The window to the left is editable - edit the code and click on the "Run" button to view the result in the right window. R programming already offers some good features for graphs and charts (packages like ggplot, leaflet, etc). In this tutorial, we have gone through the density plots, its benefits and we have plotted the density plots using ggplot2. Example: Creating ggplot2 Plot with Two Different Data Frames. Furthermore, to customize a ggplot, the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. Origianlly based on Leland Wilkinson's The Grammar of Graphics, ggplot2 allows you to create graphs that represent both univariate and multivariate numerical Mar 13, 2019 · Ggplot2 is great at this, but when we’ve isolated the points we want to understand, we can’t easily examine all possible dimensions right in the static charts. New Geoms. ggthemes; This is more of an add-on to our main ggplot2 library. ggplot2 is the most popular alternative to base R graphics. With ggplot2 , you can do more faster by learning one system and applying it in many places. Let’s plot a simple area chart using the normal distribution values. 1 Welcome to ggplot2. ggpubr provides some easy-to-use functions for creating and Jun 26, 2020 · GGPLOT2 tutorial: Visualisation using ggplot2 The ggplot2 package is a simplified implementation of grammar of graphics written by Hadley Wickham for R. Learn how to use ggplot2 to make any type of plot with your data. Mar 11, 2019 · Let’s leave the ggplot2 library for what it is for a bit and make sure that you have some dataset to work with: import the necessary file or use one that is built into R. It provides beautiful, hassle-free plots that take care of minute details like drawing legends and representing them. Don’t run this if you are using our Feb 19, 2020 · Add color to your ggplot2 text in R See how to style the headlines and axis text in your ggplot graphs with the ggtext package for R. It illustrates two important commands: qplot(): a quick plot. my_plot + # Adding horizontal line & label geom_hline ( aes ( yintercept = 3. ggplot2 is an R package for creating elegant data visualization using the conceptual philosophy that views a plot as the assembly of different fundamental parts: \[Plot = Data + Aesthetics + Geometry\] ggplot2 package. Sign In. 2) Example 1: Draw ggplot2 Scatterplot Using theme_classic () 3) Example 2: Draw ggplot2 Density Plot Using theme_classic () 4) Example 3: Draw ggplot2 Histogram Using May 14, 2020 · The. Creating plots in R using ggplot2 - part 4: stacked bar plots written January 19, 2016 in r , ggplot2 , r graphing tutorials In this fourth tutorial I am doing with Mauricio Vargas Sepúlveda , we will demonstrate some of the many options the ggplot2 package has for creating and customising stacked bar plots. 4 Histograms and Density Plots. We will use three motivating examples and ggplot2, a data visualization package for the statistical programming language R. Basically, a colour is defined, like in HTML/CSS, using the hexadecimal values (00 to FF) for red, green, and blue, concatenated into a string, prefixed with a "#". More and more users are moving away from base graphics and using the ggplot2 package. The ggplot2 package allows you to quickly plot attractive graphics and to visualize and explore data. Cancel. What is ggplot2? ggplot2 is a graphics package for R based on the “Grammar of Graphics” (Leland Wilkinson, 1999/2000) Created by Hadley Wickham, world's foremost R guru. It's popularity is claimed in many recent surveys and studies. Recall that a histogram requires only one variable, so run the R command qplot with the first argument price and the argument data set equal to diamonds. The R ggplot2 Density Plot is useful to visualize the distribution of variables with an underlying smoothness. The plots can be created iteratively and edited later. Example 1. Jun 22, 2020 · To calculate a simple moving average (over 7 days), we can use the rollmean () function from the zoo package. :P. You can learn what’s changed from the 2nd edition in the Preface. Read more on our ggplot series: Bar Charts with R May 04, 2021 · This article is part of R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. This tutorial includes all the basic entities and See full list on dataquest. After importing the file into R, we receive a list (lst. This is NOT meant to be a lesson in time series analysis, but if you want one, you might try this easy short course: EZ Online Time As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. The ggplot2 package was designed as an implementation of the ‘grammar of graphics’ proposed byWilkinson(1999), and it has become extremely popular among R users. library (ggplot2) ggplot (data, aes (x = ATTEND, y = GRADE)) + geom_point (shape = 1) + geom_smooth (method = lm, se = FALSE) Run a multiple regression in which you regress GRADE on BOOKS and ATTEND. The first is to simply run: ggplot() This tells R that you are prepping the plot space. This package is built upon the consistent underlying of the book Grammar of graphics written by Wilkinson, 2005. R files are housed in. The mapdata package contains a few more, higher-resolution outlines. Dimension Reduction Methods: Learn about Principal Components Analysis (PCA) and multidimensional scaling using the Guerry dataset and the foreign and ggplot2 R packages. The framework of ggplot2 is quite different (in comparison to graphics package) and is based on the grammar of graphics (introduced initially by Leland Wilkinson). Data Visualization with ggplot2 : : CHEAT SHEET ggplot2 is based on the grammar of graphics, the idea that you can build every graph from the same components: a data set, a coordinate system, The following sections are devoted to some of these basic elements in ggplot2. ggplot2 lets you use the grammar of graphics to build layered, customizable plots. You can use it as an extremely handy reference, or cheat-sheet, if you have just started your data science journey with ggplot2 in R, you can use it to help guide you to what you need to get done if you’re looking to To visualize data. R is available for Linux, MacOS, and Windows. The primary data set used is from the student survey of this course, but some plots are shown that use textbook data sets. The number of persons killed by mule or horse kicks in the Prussian army per year. 1 1In order to give an indication of how large the user base of ggplot2 is, we looked at its usage statistics Alluvial Plots in ggplot2. To perform linear regression we create a linear model using the lm () function: fit . ggplot2 Package Improve the quality and the beauty (aesthetics ) of the graph. This article details some new methods for the visualization of spatial data in R using the layered grammar of graphics implementation of ggplot2 in conjunction with the contextual information of static maps from Google Maps, OpenStreetMap, Stamen Maps or CloudMade Maps (Wickham,2009,2010). The plotly package and ggploty function do an excellent job at taking our high quality ggplot2 graphs and making them interactive. 37 Plotting Data and ggplot2. This section of the manual provides a brief introduction into the usage and utilities of a subset of packages from the Bioconductor project. 2 now. To access this full tutorial and download the source code you must be a Dec 23, 2014 · Recap: data analysis example in R, using ggplot2 and dplyr. If you want to bring your data to life, Shiny is the way to go!. There are several ways to set up a plot using ggplot(). 15), col = "red") + geom_text ( aes (min( Sepal. The tidyverse packages include ggplot2, the package focus of this workshop, as well as other useful additions. Jan 06, 2022 · Data Visualization with ggplot2 package; Check out the top R Interview Questions to learn what is expected from R professionals! Base R Graphics. Example: Draw Horizontal Line with Label to ggplot2 Graphic. RStudio publishes a very helpful "Data Visualization with ggplot2" cheatsheet that can be found here. For plot(), one need not install any library. The Anatomy of a Plot + + = In ggplot2, you create a plot using the ggplot function. By the end of this tutorial, you will be able to produce beautiful graphics such as this: Jan 15, 2019 · This is a quick ggplot2 tutorial through the basics of ggplot2 — enough so that you can create beautiful visualizations in R. 2. Nov 07, 2019 · Go to R Console and run the below command to install the Shiny package. Jun 29, 2021 · In this tutorial, we will learn to work with maps using the ggplot2() package. The ggplot2 shape parameter corresponds to the pch parameter of the R base graphics package (see the "pch" description on the help page of the points() function). Chapter 2 R ggplot2 Examples Bret Larget February 5, 2014 Abstract This document introduces many examples of R code using the ggplot2 library to accompany Chapter 2 of the Lock 5 textbook. ggplot2 is a simple solution for achieving professional graphs for your Azure ML experiments. https://github. A Step by Step Tutorial. The focus in this course learning to use ggplot2 to make a variety of visualizations Nov 16, 2021 · Histograms with R and ggplot2. 6. As you click through, you'll notice that some tutorials have ribbons on their logos - they are part of our free and self-paced online course Data Science for Ecologists and Environmental Scientists! This R tutorial describes how to create a pie chart for data visualization using R software and ggplot2 package. The quick fix is meant to expose you to basic R time series capabilities and is rated fun for people ages 8 to 80. This means you can apply all of R’s great functional programming tools. This function takes a k, which is an ’ integer width of the rolling window. This R graphics tutorial shows how to customize a ggplot legend. This R tutorial describes how to create a histogram plot using R software and ggplot2 package. First, we shall cover the syntax of geom_bar() and cover various examples for creating different types of bar plots with it. packages()" function as "install. packages (). Faceting. R Is Not So Hard! A Tutorial, Part 5: Fitting an Exponential Model. Mar 16, 2021 · This book is an attempt to re-express the code in the second edition of McElreath’s textbook, ‘Statistical rethinking. frame: Thursday, July 23, 2020 15:30 UTC: 02:00 John Blischak, Peter Carbonetto To visualize data. This is a bare-bones introduction to ggplot2, a visualization package in R. Then we will learn how to color lines boxes in boxplot by a variable. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. The focus in this course learning to use ggplot2 to make a variety of visualizations How to create animations in ggplot2 with Plotly. Create rich interactive graphics that you can play with locally in Rstudio or in your browser. Following steps will be performed to achieve our goal. J. Mar 30, 2015 · ggplot2 is a plotting system in R that uses the grammar of graphics. Dec 15, 2020 · Learn how to make stunning line charts with R and ggplot2 data visualization library. ggplot2 tutorial - R. R is a free, useful software package to anybody who wishes to undertake extensive statistical computations (a user community that includes students, researchers and professionals belonging to various disciplines). The %>% operator can also be used to pipe the dplyr output into ggplot. packages("ggplot2") When this completes load the library using: >library(ggplot2) Jan 03, 2019 · The above code will automatically download the ggplot2 package, from the CRAN (Comprehensive R Archive Network) repository, and install it. Length Sepal. 2 BBC Visual and Data Journalism cookbook for R graphics; 12. 1; aod 1. Nov 19, 2018 · This blog post is a fairly comprehensive ggplot2 tutorial for beginners. In this tutorial you will learn how to create supply and demand, indifference and Laffer curves in addition to production-possibility frontiers in R with this package. Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. Rather than being limited to sets of pre Since ggplot2 objects are just regular R objects, you can put them in a list. In this method to create a ggplot with multiple lines, the user needs to first install and import the reshape2 package in the R console and call the melt() function with the required parameters to format the given data to long data form and then use the ggplot() function to plot the ggplot of the formatted data