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Kurs

Building Web Applications with Shiny in R

ŚredniozaawansowanyPoziom umiejętności

Zaktualizowano 07.2022

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RProgramming

4 godz.

16 filmów

61 Ćwiczeń

5,050 XP

33,069

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Opis kursu

Shiny is an R package that makes it easy to build highly interactive web apps directly in R. Using Shiny, data scientists can create interactive web apps that allow your team to dive in and explore your data as dashboards or visualizations. If you want to bring your data to life, Shiny is the way to go! Using data about baby names, food ingredients, and UFO sightings, you'll build a variety of different Shiny apps that leverage different inputs and outputs. You’ll also learn the basics of reactive expressions. By the end of this course, you’ll have the Shiny skills you need to build your first app in R.

Wymagania wstępne

Introduction to the Tidyverse Intermediate R

1

Get Started with Shiny

To kick off the course you'll learn what a web app is and when you should build one, plus build a few apps of your own! You'll first learn to make text inputs and outputs in a few ways, including exploring the popularity of certain names over time.

Introduction to Shiny

Client vs. Server

When to build a web-app?

Build a "Hello, world" Shiny app

Build a "Hello, world" Shiny app (2)

"Hello, World" app input (UI)

"Hello, World" app output (UI/Server)

Build a babynames explorer Shiny app

Add input (UI)

Add output (UI/Server)

Update layout (UI)

Update output (server)

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2

Inputs, Outputs, and Layouts

In this chapter you will learn how to take advantage of different input and output options in shiny. You''ll learn the syntax for taking inputs from users and rendering different kinds of outputs, including text, plots, and tables.

Selecting an input

Add a select input

Add a slider input to select year

Add a table output

Add an interactive table output

Add interactive plot output

Layouts and themes

Sidebar layouts

Tab layouts

Building apps

App 1: Multilingual Greeting

App 2: Popular Baby Names

App 3: Popular Baby Names Redux

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3

Reactive Programming

In this chapter, you will learn about reactive programming. You will learn about reactive sources, conductors and endpoints and how they come together to drive the magic behind Shiny. You will also learn how to utilize your understanding of reactivity to build performant Shiny apps.

Reactivity 101

Source vs. Conductor vs. Endpoint

Add a reactive expression

Understanding reactive expressions

Observers vs. reactives

Add another reactive expression

Does this have a side effect?

Add an observer to display notifications

Stop - delay - trigger

Stop reactions with isolate()

Delay reactions with eventReactive()

Trigger reactions with observeEvent()

Controlling action triggers

Applying reactivity concepts

Reactivity concepts: observe & reactive

Convert height from inches to centimeters

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4

Build Shiny Apps

It’s time to build your own Shiny apps. You’ll make several apps from scratch, including one that allows you to gather insights from the Mental Health in Tech Survey and another that uses recipe ingredients as its input to accurately categorize different cuisines of the world. Along the way, you’ll also learn about more advanced input and output widgets, such as input validation, word clouds, and interactive maps.

Build an Alien Sightings Dashboard

Alien sightings: add inputs

Alien sightings: add outputs

Alien sightings: tab layout

Exploring the 2014 Mental Health in Tech Survey

The shinyWidgets gallery

Explore the Mental Health in Tech 2014 Survey

Validate that a user made a selection

Explore cuisines

Explore cuisines: top ingredients

Explore cuisines: top ingredients redux

Explore cuisines: wordclouds

Mass shootings

Mass shootings: add inputs

Mass shootings: modify output

Mass shootings: display help

Wrap up video

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Building Web Applications with Shiny in R

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