![]() ![]() It describes the theoretical underpinnings of ggplot2 and shows you how all the pieces fit together. If you’ve mastered the basics and want to learn more, read ggplot2: Elegant Graphics for Data Analysis. It provides a set of recipes to solve common graphics problems. If you want to dive into making common graphics as quickly as possible, I recommend The R Graphics Cookbook by Winston Chang. If you’d like to follow a webinar, try Plotting Anything with ggplot2 by Thomas Lin Pedersen. If you’d like to take an online course, try Data Visualization in R With ggplot2 by Kara Woo. R for Data Science is designed to give you a comprehensive introduction to the tidyverse, and these two chapters will get you up to speed with the essentials of ggplot2 as quickly as possible. The Data Visualisation and Graphics for communication chapters in R for Data Science. Currently, there are three good places to start: You’ll need to adjust the path to reflect the location where the Excel file is stored on your computer (don’t forget to use double backslash within the path name to avoid any errors).If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages. ![]() Read_excel("C:\\Users\\Ron\\Desktop\\Products.xlsx") So this is the code to import the Excel file: library("readxl") The data that is stored in the Excel file is as follows: productįor demonstration purposes, assume that the file is stored under the following path: ![]() Let’s say that you want to import an Excel file into R (where the Excel file name is ‘Products’). To start using the package installed, you’ll need to load it in the R Editor.įor instance, to load the readxl package, you’ll have to use: library("readxl") Step 4: Start using the package installed You may choose a mirror which is closer to your geographic location. ![]() Step 3: Select a Mirror for the installationįor the final step, select a Mirror for the installation. Once you are done typing the command, press ENTER to proceed with the installation. Now you’ll need to use the following template to install your package: install.packages("package_name")įor example, you may type the following command in the R Console in order to install the readxl package: install.packages("readxl") Step 2: Type the command to install the package ![]()
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