Data Analysis with Shiny: R Playbook

Focused View

Jacey Heuer

1:18:20

42 View

1.Course Overview

01.Course Overview.mp4

01:18

2.Up and Running with Shiny

02.R Shiny and the Deployment Obstacle.mp4

04:27

03.Exploring the R Shiny Galleries.mp4

05:02

04.Setting up the R Shiny Framework.mp4

01:47

05.Installing R Shiny and Creating R Script Files.mp4

05:42

06.Launching Your First R Shiny App.mp4

02:12

3.Setting up the Shiny App

07.Intro for Setting up the Shiny App.mp4

01:11

08.Developing the Reactive Environment.mp4

04:21

09.Programming the ui Object - Part 1.mp4

01:09

10.Programming the ui Object - Part 2.mp4

02:26

11.Creating Basic Elements of the Shiny App in the R Session.mp4

04:12

12.Mapping the ui Object to the Server Function Using Reactivity.mp4

04:29

13.Launching the Next Iteration of Your R Shiny App.mp4

02:31

4.Customizing Shiny App

14.Intro and Digging Deeper Into the ui Object.mp4

07:01

15.Overview of the Highcharter and Shinydashboard Packages.mp4

01:24

16.Experimenting with the ui Object and Highcharter Package.mp4

06:14

17.Launch the App and See It All in Action.mp4

02:06

18.Demo - Shinydashboard Package.mp4

02:56

5.Deploy Shiny App

19.Setting the Scene for Shiny Deployment.mp4

03:56

20.Deployment Obstacles.mp4

03:22

21.The Deployment Methods.mp4

03:37

22.Setting up Shinyapps.io.mp4

05:01

23.Launching an App Using Shinyapps.io.mp4

01:56

Description

R Shiny is the answer to a data scientist’s difficulty in deploying their projects to their organization. In this course, you will learn how to use the Shiny package in R to develop and deploy a data science project that may be consumed by the organization.

What You'll Learn?

When it comes to generating value for the organization with data science projects, many data scientists face a key problem in the deployment of these projects. R Shiny is a package in R that solves this deployment problem by creating easy-to-use web applications in R.

In this course, Data Analysis with Shiny: R Playbook, you will learn foundational knowledge of the R Shiny package in R programming.

First, you will learn the background of R Shiny’s purpose in solving the deployment obstacle in data science.

Next, you will discover how R Shiny uses reactive environments and simple R elements to create a seamless app.

Finally, you will explore how to deploy a Shiny app into a cloud hosted site on Shinyapps.io.

When you are finished with this course, you will have the skills and knowledge of R Shiny needed to deploy a data science project into the organization. Software required: R programming and R Studio

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Data Science

R Programming

Jacey Heuer

Instructor's Courses

My name is Jacey Heuer and I am a Data Scientist with many years of experience in the financial services, energy and retail industries. I hold a Masters of Business Administration and Masters of Business Analytics from Iowa State University. I also hold an undergrad degree in Business Administration and Finance. In data science, my areas of focus include machine learning, time series analysis, statistical inference and data translation. Data translation helps the decision makers in a business to understand the degree of impact that data science outputs will have on their business. A couple of my recent projects include the application of time series techniques to the automation of forecasting energy usage across customers and the use machine learning methods to predict the impact promotional activities have on the individual sales of thousands of items.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.