R Shiny Interactive Web Apps – Next Level Data Visualization

R Shiny Interactive Web Apps – Next Level Data Visualization, available at $59.99, has an average rating of 4.47, with 30 lectures, based on 1534 reviews, and has 8148 subscribers.

You will learn about 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 This course is ideal for individuals who are Business analysts or Data scientists or Entrepreneurs or Students looking for modern data visualizations tools or Everybody interested in data science and visualization It is particularly useful for Business analysts or Data scientists or Entrepreneurs or Students looking for modern data visualizations tools or Everybody interested in data science and visualization.

Enroll now: R Shiny Interactive Web Apps – Next Level Data Visualization

Summary

Title: R Shiny Interactive Web Apps – Next Level Data Visualization

Price: $59.99

Average Rating: 4.47

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $84.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Business analysts
Data scientists
Entrepreneurs
Students looking for modern data visualizations tools
Everybody interested in data science and visualization

Target Audiences

Business analysts
Data scientists
Entrepreneurs
Students looking for modern data visualizations tools
Everybody interested in data science and visualization

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.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Welcome to R Shiny

Lecture 2: Get ready for R Shiny

Lecture 3: The Basic Shiny Template

Lecture 4: The Input Widget Gallery – Tools to Enable User Input

Lecture 5: The Link List

Lecture 6: Link Collection

Chapter 2: The Basics of R Shiny

Lecture 1: Section II

Lecture 2: Section Script – Shiny Basics

Lecture 3: Integrating an Input Widget – The User interface Side

Lecture 4: Connecting an Input Widget with the Server

Lecture 5: Using Functions Render and Reactive – Reactivity

Lecture 6: Planning Your App Layout

Lecture 7: Multi Page Apps – Using Tabsets

Lecture 8: HTML Tags in Shiny

Lecture 9: Style Your App with shinythemes

Chapter 3: Publishing and Advanced Concepts of Shiny

Lecture 1: Section III

Lecture 2: Section Script – Advanced Shiny

Lecture 3: Publishing and Sharing

Lecture 4: Shinyapps.io

Lecture 5: Integrating Tables with DT

Lecture 6: Add Brush and Click Selection Tools to Your App

Lecture 7: Downloadable Tables

Lecture 8: Integrating all Sorts of Media

Lecture 9: Tools for Your Own Apps

Chapter 4: Course Project – Get Your Feet Wet

Lecture 1: Take a Look at the Project Data – and download here

Lecture 2: Project Description – Your Homework

Lecture 3: Project Solution – User Interface

Lecture 4: Project Solution – Server

Lecture 5: Project Script

Lecture 6: Conclusion

Instructors

R-Tutorials Training
Data Science Education

Rating Distribution

1 stars: 25 votes
2 stars: 41 votes
3 stars: 217 votes
4 stars: 574 votes
5 stars: 677 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu