Book Image

R for Data Science Cookbook (n)

By : Yu-Wei, Chiu (David Chiu)
Book Image

R for Data Science Cookbook (n)

By: Yu-Wei, Chiu (David Chiu)

Overview of this book

This cookbook offers a range of data analysis samples in simple and straightforward R code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently. The first section deals with how to create R functions to avoid the unnecessary duplication of code. You will learn how to prepare, process, and perform sophisticated ETL for heterogeneous data sources with R packages. An example of data manipulation is provided, illustrating how to use the “dplyr” and “data.table” packages to efficiently process larger data structures. We also focus on “ggplot2” and show you how to create advanced figures for data exploration. In addition, you will learn how to build an interactive report using the “ggvis” package. Later chapters offer insight into time series analysis on financial data, while there is detailed information on the hot topic of machine learning, including data classification, regression, clustering, association rule mining, and dimension reduction. By the end of this book, you will understand how to resolve issues and will be able to comfortably offer solutions to problems encountered while performing data analysis.
Table of Contents (19 chapters)
R for Data Science Cookbook
About the Author
About the Reviewer

Publishing an R Shiny report

After creating our interactive report with the Shiny application, we can publish our report online. In this recipe, we introduce how to publish an R Shiny report online.

Getting ready

Ensure you have installed and loaded ggvis into your R session. Also, you need to complete the previous steps by storing house in your R environment.

How to do it…

Please perform the following steps to publish your Shiny document online:

  1. First, click Publish Document on the upper-right side of the document:

    Figure 40: Publish the Shiny document

  2. If you have not installed the required packages, you should click Yes to install the required packages for publishing the Shiny document:

    Figure 41: Install the required packages to publish Shiny app

  3. Click on Publish just this document:

    Figure 42: Click on publish just this document

  4. At this point, RStudio requires you to connect your ShinyApps account with app tokens. Therefore, you should log in to your account to retrieve the token:

    Figure 43: ShinyApps...