The richly illustrated Interactive Web-Based Data Visualization with
R, plotly, and shiny focuses on the process of programming interactive
web graphics for multidimensional data analysis. It is written for the
data analyst who wants to leverage the capabilities of interactive web
graphics without having to learn web programming. Through many R code
examples, you will learn how to tap the extensive functionality of these
tools to enhance the presentation and exploration of data. By mastering
these concepts and tools, you will impress your colleagues with your
ability to quickly generate more informative, engaging, and reproducible
interactive graphics using free and open source software that you can
share over email, export to pdf, and more.
Key Features:
- Convert static ggplot2 graphics to an interactive web-based form
- Link, animate, and arrange multiple plots in standalone HTML from R
- Embed, modify, and respond to plotly graphics in a shiny app
- Learn best practices for visualizing continuous, discrete, and
multivariate data
- Learn numerous ways to visualize geo-spatial data
This book makes heavy use of plotly for graphical rendering, but you
will also learn about other R packages that support different phases of
a data science workflow, such as tidyr, dplyr, and tidyverse. Along the
way, you will gain insight into best practices for visualization of
high-dimensional data, statistical graphics, and graphical perception.
The printed book is complemented by an interactive website where readers
can view movies demonstrating the examples and interact with graphics.
