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

Creating an R Shiny document

Having introduced how to make an R Markdown document and ggvis plot, we can now combine these two together in a single report. However, the interactivity property of ggvis does not work with a regular R Markdown report. Instead, we can only enable the interactivity of the plot in a Shiny document. In this recipe, we introduce how to create a Shiny document.

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 create a Shiny document:

  1. First, click File | New File | R Markdown on the menu bar:

    Figure 35: Create an R Markdown file

  2. Next, choose Shiny as the document type in the left-hand side menu, and then fill in the Title and Author, and select the output format in the right-hand side menu:

    Figure 36: Input title and author of the R Markdown report

  3. Type the code that generates a ggvis plot into R chunks: