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Data Wrangling with R

You're reading from  Data Wrangling with R

Product type Book
Published in Feb 2023
Publisher Packt
ISBN-13 9781803235400
Pages 384 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Gustavo R Santos Gustavo R Santos
Profile icon Gustavo R Santos

Table of Contents (21) Chapters

Preface Part 1: Load and Explore Data
Chapter 1: Fundamentals of Data Wrangling Chapter 2: Loading and Exploring Datasets Chapter 3: Basic Data Visualization Part 2: Data Wrangling
Chapter 4: Working with Strings Chapter 5: Working with Numbers Chapter 6: Working with Date and Time Objects Chapter 7: Transformations with Base R Chapter 8: Transformations with Tidyverse Libraries Chapter 9: Exploratory Data Analysis Part 3: Data Visualization
Chapter 10: Introduction to ggplot2 Chapter 11: Enhanced Visualizations with ggplot2 Chapter 12: Other Data Visualization Options Part 4: Modeling
Chapter 13: Building a Model with R Chapter 14: Build an Application with Shiny in R Conclusion Other Books You May Enjoy

Deploying the application on the web

Working with Shiny and RStudio makes it really easy to deploy an app. Once it is ready for deployment, all we need to do is click the blue Publish Document… button in the top right-hand corner of the source code window in RStudio, right next to the Run App button, as shown in Figure 14.5.

Figure 14.5 – Publish Application option for Shiny apps in RStudio

A pop-up window will appear, asking you to connect RStudio to an account. Hit the Next button. See Figure 14.6.

Figure 14.6 – Publishing options

The next step is to select where you want to publish it. ShinyApps.io has a free version for students. You can choose it, as shown in Figure 14.7.

Figure 14.7 – Options for publishing an application

To connect to the account, you must register on the website and get a token to connect to ShinyApps. Follow the instructions and paste the result in the input...

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