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Mastering RStudio - Develop, Communicate, and Collaborate with R (Paperback)
Loot Price: R1,400
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Mastering RStudio - Develop, Communicate, and Collaborate with R (Paperback)
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Harness the power of RStudio to create web applications, R
packages, markdown reports and pretty data visualizations About
This Book * Discover the multi-functional use of RStudio to support
your daily work with R code * Learn to create stunning, meaningful,
and interactive graphs and learn to embed them into easy
communicable reports using multiple R packages * Develop your own R
packages and Shiny web apps to share your knowledge and collaborate
with others Who This Book Is For This book is aimed at R developers
and analysts who wish to do R statistical development while taking
advantage of RStudio's functionality to ease their development
efforts. R programming experience is assumed as well as being
comfortable with R's basic structures and a number of functions.
What You Will Learn * Discover the RStudio IDE and details about
the user interface * Communicate your insights with R Markdown in
static and interactive ways * Learn how to use different graphic
systems to visualize your data * Build interactive web applications
with the Shiny framework to present and share your results *
Understand the process of package development and assemble your own
R packages * Easily collaborate with other people on your projects
by using Git and GitHub * Manage the R environment for your
organization with RStudio and Shiny server * Apply your obtained
knowledge about RStudio and R development to create a real-world
dashboard solution In Detail RStudio helps you to manage small to
large projects by giving you a multi-functional integrated
development environment, combined with the power and flexibility of
the R programming language, which is becoming the bridge language
of data science for developers and analyst worldwide. Mastering the
use of RStudio will help you to solve real-world data problems.
This book begins by guiding you through the installation of RStudio
and explaining the user interface step by step. From there, the
next logical step is to use this knowledge to improve your data
analysis workflow. We will do this by building up our toolbox to
create interactive reports and graphs or even web applications with
Shiny. To collaborate with others, we will explore how to use Git
and GitHub with RStudio and how to build your own packages to
ensure top quality results. Finally, we put it all together in an
interactive dashboard written with R. Style and approach An
easy-to-follow guide full of hands-on examples to master RStudio.
Beginning from explaining the basics, each topic is explained with
a lot of details for every feature.
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