Building Shiny Apps
Building Shiny Apps
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Building Shiny Apps

This book is 100% complete

Completed on 2018-03-14

About the Book

The aim of this book is to quickly get you started into Shiny web application development. We will cover the main tools to make you feel confident of keeping up on your own.

The book is aimed at hands-on individuals that want to get their job done and need to get familiar with the tools quickly, whether hackers, entrepeneurs or scientists.

About the Author

Pablo Maldonado
Pablo Maldonado

Pablo is an applied mathematician and data scientist with a taste for software development since his days programming BASIC in a Tandy 1000.

He spends a great deal of his time building machine learning products and helping others succeed in their own data-driven projects, whether companies or students.

You can follow him in www.pablomaldonado.org where he blogs about data science and math in the wild.

Reader Testimonials

Jacob
Jacob

PhD candidate

Because of what I learned [...], I got a consulting gig with a large microfinance bank building a Shiny app along with typical modelling.

Student
Student

Prague

Pablo Maldonado inspired me to learn more about this software and eventually to develop my own web application.

Simeon
Simeon

Reader from Russia

Muchas gracias! This is really a great tutorial, especially the chapters 3-6

Table of Contents

  • Introduction
  • Chapter 1: R and dplyr at a glance
    • What is R?
    • What is dplyr?
    • R in a nutshell
    • Types
    • Coercion
    • Special values in R
    • Data Frames
    • dplyr: A grammar for data manipulation
  • Chapter 2: ggplot2
    • Grammar of graphics
    • Diving deeper into the grammar of graphics
  • Chapter 3: Shiny
  • Chapter 4: Building Dashboards in Shiny
    • Shinydashboard package
    • Our goal
    • Building blocks of our UI
    • Drafting our first plot
    • Reactive expressions
  • Chapter 5: Maps
    • Leaflet
    • Leaflet maps in Shiny
    • Choropleth maps
    • Choropleth maps in ggplot2
  • Chapter 6: Data collection in R
    • rvest
    • httr
  • About the author

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