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

Adding interactivity to a ggvis plot

One of the most attractive features of ggvis is that it can be used to create an interactive web form. This allows the user to subset the data, or even change the visual properties of the plot, through interacting with the web form. In this recipe, we introduce how to add interactivity to a ggvis object.

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 add interactivity to ggvis:

  1. First, make a bar plot with a drop-down menu and color options:

    > house %>% 
    +     ggvis(~Status, ~Price, fill:= input_select(c("red","blue"), label="Fill Color")) %>% 
    +     layer_bars() %>%
    +     add_axis("x", title = "Status", title_offset = 40) %>%
    +     add_axis("y", title = "Price", title_offset = 80)

    Figure 28: Adding a drop-down menu with color options

  2. Create a size slider and a color input text...