Translate your data into info-graphics using popular packages in R
About This Book * Use R's popular packages-such as ggplot2, ggvis,
ggforce, and more-to create custom, interactive visualization
solutions. * Create, design, and build interactive dashboards using
Shiny * A highly practical guide to help you get to grips with the
basics of data visualization techniques, and how you can implement
them using R Who This Book Is For If you are looking to create
custom data visualization solutions using the R programming
language and are stuck somewhere in the process, this book will
come to your rescue. Prior exposure to packages such as ggplot2
would be useful but not necessary. However, some R programming
knowledge is required. What You Will Learn * Get to know various
data visualization libraries available in R to represent data *
Generate elegant codes to craft graphics using ggplot2, ggvis and
plotly * Add elements, text, animation, and colors to your plot to
make sense of data * Deepen your knowledge by adding bar-charts,
scatterplots, and time series plots using ggplot2 * Build
interactive dashboards using Shiny. * Color specific map regions
based on the values of a variable in your data frame * Create
high-quality journal-publishable scatterplots * Create and design
various three-dimensional and multivariate plots In Detail R is an
open source language for data analysis and graphics that allows
users to load various packages for effective and better data
interpretation. Its popularity has soared in recent years because
of its powerful capabilities when it comes to turning different
kinds of data into intuitive visualization solutions. This book is
an update to our earlier R data visualization cookbook with 100
percent fresh content and covering all the cutting edge R data
visualization tools. This book is packed with practical recipes,
designed to provide you with all the guidance needed to get to
grips with data visualization using R. It starts off with the
basics of ggplot2, ggvis, and plotly visualization packages, along
with an introduction to creating maps and customizing them, before
progressively taking you through various ggplot2 extensions, such
as ggforce, ggrepel, and gganimate. Using real-world datasets, you
will analyze and visualize your data as histograms, bar graphs, and
scatterplots, and customize your plots with various themes and
coloring options. The book also covers advanced visualization
aspects such as creating interactive dashboards using Shiny By the
end of the book, you will be equipped with key techniques to create
impressive data visualizations with professional efficiency and
precision. Style and approach This book is packed with practical
recipes, designed to provide you with all the guidance needed to
get to grips with data visualization with R. You will learn to
leverage the power of R and ggplot2 to create highly customizable
data visualizations of varying complexities. The readers will then
learn how to create, design, and build interactive dashboards using
Shiny.
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