Building Interactive Apps With Shiny and R

Name: Building Interactive Apps With Shiny and R
Rating: 4.3 (521 reviews)

Learn to build professional web applications from scratch with the powerful Shiny package in R

Created byMichael Weis

Last updated 5/2020

English

What you'll learn

Understand layouts, inputs, outputs, and data processing used in Shiny apps
Utilize Shiny dashboards to create professional looking web applications
Utilize advanced Shiny features like dashboards, automatic data refresh, and many more
Create inputs and outputs that react to user user input in real time

Course content

7 sections • 43 lectures • 1h 47m total length

Shiny Overview0:41
Setting Up Shiny0:57
This video will show you how to install Shiny and verify that it installed correctly.
Shiny App Structure1:48
This video will show you the general structure of any shiny app.

Introduction To Inputs0:47
Text Inputs1:33
In this lecture we will learn how to create text inputs.
Numeric Inputs1:04
In this lecture we will learn how to create numeric inputs.
Checkbox Inputs1:57
In this lecture we will learn how to create checkbox inputs.
Select Inputs1:14
In this lecture we will learn how to create select inputs.
Slider Inputs1:14
In this lecture we will learn how to create slider inputs.
Radio Button Inputs1:19
In this lecture we will learn how to create radio inputs.
Date Inputs2:01
In this lecture we will learn how to create date inputs.
Build Your Own App - Inputs3:47
This lecture will walk you through how to create your own shiny app containing several of the inputs covered in this section.

Introduction To Outputs0:15
Explore Shiny outputs and learn how to display information in your app with graphs, text output, and data tables.
Text Output1:35
This lecture will demonstrate how to create text outputs.
Table Output1:20
This lecture will demonstrate how to create table outputs.
Plot Output2:18
This lecture will demonstrate how to create plot outputs.
DataTable Output2:27
This lecture will demonstrate how to create Data Table outputs. **PLEASE NOTE: make sure to add DTOutput to the ui.R file after you have created the data table output in the server.R file**
Build Your Own App - Outputs3:37
During this lecture you will see how to create your own shiny app utilizing several of the output types from this section.

Reactivity - Introduction0:28
Reactive Outputs3:52
This lecture will cover how to create reactive outputs that respond to changes in user inputs.
Reactive Expressions5:08
This lecture will cover how to create more general reactive expressions which respond to user input. Things like data filtering are done via reactive expressions.
Controlling Reactions3:03
This lecture will cover how you can control the exact timing of when you want reactions to happen. For instance if you want to wait for the user to change all their inputs before refreshing the data.
Build Your Own App - Reactivity5:43
In this lecture you will combine your knowledge of inputs, outputs, and reactivity to build your own shiny app that reacts to users changing inputs. (Note that I have uploaded a new version of the practice app code that included a global.R file that contains the appropriate library loads.)

Single Page Layouts - Introduction0:25
Vertical Layout0:22
In this lecture you will see how to create a vertical layout for your application.
Fluid Rows3:48
In this lecture you will see how to create a fluid row layout for your application.
Sidebar Layouts1:42
In this lecture you will see how to create a side bar layout for your application.
Conditional Panels3:04
In this lecture you will see how to create a layout containing conditional panels that are only shown once some condition is met.
Build Your Own App - Single Page Layouts4:09
In this lecture you will create your own single page application utilizing the side bar layout.

Multi-Page Layouts - Introduction0:26
Explore multi-page layouts to organize a Shiny app, dedicating separate output spaces for data and plots, including a data tab and a plots tab.
Tabset Panel2:22
In this video you will learn how to create a tabset panel layout for your application.
Navbar Panel2:48
In this video you will learn how to create a navigation bar layout for your application.
NavList Panel1:52
In this video you will learn how to create a navigation list layout for your application.
Build Your Own App - Multi-Page Layouts3:38
In this lecture you will build you own multi-page application utilizing the tabset panel layout.

Data Downloads3:22
In this lecture you will learn how to enable the user to download data within your application.
Data Uploads3:08
In this lecture you will learn how to allow the user to upload a file to your application.
Dynamic Data Refresh4:20
In this lecture you will learn how to have shiny dynamically update while an application is running by monitoring whether a data file has changed.
Progress Indicators1:59
In this lecture you will learn how to add progress indicators to your apps. That let your user know that something is going on in your app and how much of it is complete.
Shiny Dashboards - Structure Overview0:31
In this lecture you will learn the basic structure of a shiny dashboard.
Shiny Dashboards - Header4:30
In this lecture you will learn the how to create the header portion of a shiny dashboard.
Shiny Dashboards - Sidebar2:02
In this lecture you will learn the how to create the sidebar portion of a shiny dashboard.
Shiny Dashboards - Body2:25
In this lecture you will learn the how to create the body portion of a shiny dashboard.
Build Your Own App - Shiny Dashboards12:34
In this lecture you will be building your most comprehensive shiny app thus far. Utilizing things you have learning in all the previous sections to create a fully functioning shiny dashboard.

Requirements

Students should have basic understanding of R and Rstudio
Students should have R and Rstudio running on their computers

Description

Go from Shiny beginner to Shiny pro with this course covering all the topics you need to build professional looking Shiny apps. Learn how to utilize inputs, outputs, and reactivity combined with the many different layout options available. Get real hands on experience building your own Shiny apps throughout the course to build your knowledge and put your skills to the test.

Building your own web applications can be challenging. That's where Shiny comes in; Shiny allows you to build powerful web applications without needing to know any HTML, javascript, or CSS.

Who this course is for:

Data Scientists
Data Analysts
Students
Anyone looking to build professional level web applications

Building Interactive Apps With Shiny and R

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 3min

Shiny Inputs9 lectures • 15min

Shiny Outputs6 lectures • 12min

Reactivity5 lectures • 18min

Single Page App Layouts6 lectures • 14min

Multi-Page App Layouts5 lectures • 11min

Advanced Shiny9 lectures • 35min

Requirements

Description

Who this course is for: