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Web Apps in R: Building your First Web Application in R | Shiny Tutorial Ep 1
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Have you ever wanted to build your very own web application? Perhaps a data-driven one? In this R Shiny Tutorial video, we will take you a step closer to realising this dream by showing you how you can build your first web application in R using the Shiny package.
⭕ TIMESTAMP
0:00 Introduction
0:32 Introducing the "Web apps in R" series
0:50 What is the Shiny package?
1:32 What we will learn today?
1:48 Structure of a Shiny web app
2:50 Examples of Shiny web apps in action
5:18 Examples from our own research lab
7:07 Let's get started
7:19 Go to Data Professor GitHub and download R code
8:27 What web app are we building today?
9:30 No submit buttons, Reactive!
10:28 Dissecting the web app
10:36 1. ui.R (User interface)
10:51 2. server.R
12:08 Catalog of shiny themes
14:30 mainPanel() displays the output by using verbatimTextOutput()
14:38 h1,h2,h3,h4,h5,h6 represents different sizes of the Header title
15:38 How does UI and server interact?
16:40 Schematic of our first Shiny web apps
⭕ Playlist:
Check out our other videos in the following playlists.
⭕ Subscribe:
If you're new here, it would mean the world to me if you would consider subscribing to this channel.
⭕ Recommended Tools:
Kite is a FREE AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite and I love it!
⭕ Recommended Books:
⭕ Stock photos, graphics and videos used on this channel:
⭕ Follow us:
⭕ Disclaimer:
Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents.
#dataprofessor #shiny #webapp #webapplication #appdev #webdev #rshiny #machinelearning #modeldeployment #deployml #deploymachinelearning #datascienceproject #learnr #rprogramming #learnrprogramming #datascience #datamining #bigdata #datascienceworkshop #dataminingworkshop #dataminingtutorial #datasciencetutorial #ai #artificialintelligence #r
⭕ TIMESTAMP
0:00 Introduction
0:32 Introducing the "Web apps in R" series
0:50 What is the Shiny package?
1:32 What we will learn today?
1:48 Structure of a Shiny web app
2:50 Examples of Shiny web apps in action
5:18 Examples from our own research lab
7:07 Let's get started
7:19 Go to Data Professor GitHub and download R code
8:27 What web app are we building today?
9:30 No submit buttons, Reactive!
10:28 Dissecting the web app
10:36 1. ui.R (User interface)
10:51 2. server.R
12:08 Catalog of shiny themes
14:30 mainPanel() displays the output by using verbatimTextOutput()
14:38 h1,h2,h3,h4,h5,h6 represents different sizes of the Header title
15:38 How does UI and server interact?
16:40 Schematic of our first Shiny web apps
⭕ Playlist:
Check out our other videos in the following playlists.
⭕ Subscribe:
If you're new here, it would mean the world to me if you would consider subscribing to this channel.
⭕ Recommended Tools:
Kite is a FREE AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite and I love it!
⭕ Recommended Books:
⭕ Stock photos, graphics and videos used on this channel:
⭕ Follow us:
⭕ Disclaimer:
Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents.
#dataprofessor #shiny #webapp #webapplication #appdev #webdev #rshiny #machinelearning #modeldeployment #deployml #deploymachinelearning #datascienceproject #learnr #rprogramming #learnrprogramming #datascience #datamining #bigdata #datascienceworkshop #dataminingworkshop #dataminingtutorial #datasciencetutorial #ai #artificialintelligence #r
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