R Shiny Interactive Web Apps - Next Level Data Visualization
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R Shiny Interactive Web Apps - Next Level Data Visualization

Learn how to use R and Shiny to create compelling data visualizations and how to share them online.
4.4 (92 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
648 students enrolled
Last updated 7/2017
English
Current price: $10 Original price: $95 Discount: 89% off
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Includes:
  • 3 hours on-demand video
  • 4 Articles
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • generate advanced shiny web apps
  • share apps over the internet or locally
  • embed pdfs, videos, images and text in a web app
  • create multi page shiny apps
  • add focus and zooming tools to shiny apps
  • generate shiny apps based on data tables
  • use pre defined layouts for styling
  • generate downloadable tables
View Curriculum
Requirements
  • Basic R knowledge
  • General R data visualization skills (ggplot2, R base)
  • Computer with R and RStudio already installed
Description

R shiny allows you to present your data interactively – that means your app users can:

  • Set filters and columns in tables
  • Generate parameters for plots
  • Zoom and focus on specific areas of plots
  • Focus on selected portions of your data
  • Provide or upload files, text and all sorts of data
  • And much more

App users can do all of this without any R knowledge. You do the coding, your users get the info they are looking for!

In this course I will show you step by step how to master R Shiny. We will start out with the general shiny script – all scripts should have the same basic structure.

You will then learn how to make your app interactive by using input widgets. These features take user inputs which can be used to generate or modify the app content.

You will learn how to style your app for an appealing layout.

I will also show you how to use HTML tags to integrate or embed standard web content like youtube videos, pdfs, text, pictures and much more.

After that you will learn about advanced shiny apps that allow zooming and downloading

And you will learn how to integrate tables.

This course is not just pure theory. The last section is all about applying your new shiny skills. I prepared a course project which combines all the topics discussed in the course and more. This project is modeled after a real world financial app. You will get the project description and the raw data to test your skills.

Note that this course requires basic R skills. If you are totally new to R, check out some R intro material first and then revisit the course.

All the software downloads, add on packages as well as entry level hosting for shiny are totally free. I will show you what you need and where to get it. That includes hosting as well.

Take a look at shiny – your boss, colleagues, students, customers will be astonished what modern day data visualization can do.

Who is the target audience?
  • Business analysts
  • Data scientists
  • Entrepreneurs
  • Students looking for modern data visualizations tools
  • Everybody interested in data science and visualization
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Curriculum For This Course
30 Lectures
02:53:21
+
Course Introduction
6 Lectures 33:19

Get ready for R Shiny
11:51


The Input Widget Gallery - Tools to Enable User Input
06:32

The Link List
04:00

Link Collection
00:39
+
The Basics of R Shiny
9 Lectures 42:59
Section II
03:14

Section Script - Shiny Basics
02:00

Integrating an Input Widget - The User interface Side
05:53

Connecting an Input Widget with the Server
04:30

Using Functions Render and Reactive - Reactivity
06:32



HTML Tags in Shiny
09:15

Style Your App with shinythemes
03:22
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Publishing and Advanced Concepts of Shiny
9 Lectures 01:03:51
Section III
03:37

Section Script - Advanced Shiny
01:54

Publishing and Sharing
06:27

Shinyapps.io
05:49

Integrating Tables with DT
13:42

Add Brush and Click Selection Tools to Your App
12:33

Downloadable Tables
05:01

Integrating all Sorts of Media
10:05

Tools for Your Own Apps
04:43
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Course Project - Get Your Feet Wet
6 Lectures 34:43
Take a Look at the Project Data - and download here
03:28


Project Solution - User Interface
08:10

Project Solution - Server
10:57

Project Script
01:01

Conclusion
02:51
About the Instructor
R-Tutorials Training
4.4 Average rating
5,405 Reviews
59,741 Students
17 Courses
Data Science Education

R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 50,000+ students love it.

We focus on Data Science tutorials. Offering several R courses for every skill level, we are among Udemy's top R training provider. On top of that courses on Tableau, Excel and a Data Science career guide are available.

All of our courses contain exercises to give you the opportunity to try out the material on your own. You will also get downloadable script pdfs to recap the lessons.

The courses are taught by our main instructor Martin – trained biostatistician and enthusiastic data scientist / R user.

Should you have any questions, you are invited to check out our website, you can open a discussion in the course or you can simply drop us a pm.

We are here to help you boost your career with analytics training – Just learn and enjoy.