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Web Apps in R: Building your First Web Application in R | Shiny Tutorial Ep 1
ChannelData ProfessorChapters
Description from the creator
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.
🌟 Buy me a coffee: buymeacoffee.com/dataprofessor
📎CODE: github.com/dataprofessor/code/tree/master/shiny…
⭕ 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.
✅ Data Science 101: bit.ly/dataprofessor-ds101
✅ Data Science YouTuber Podcast: bit.ly/datascience-youtuber-podcast
✅ Data Science Virtual Internship: bit.ly/dataprofessor-internship
✅ Bioinformatics: bit.ly/dataprofessor-bioinformatics
✅ Data Science Toolbox: bit.ly/dataprofessor-datasciencetoolbox
✅ Streamlit (Web App in Python): bit.ly/dataprofessor-streamlit
✅ Shiny (Web App in R): bit.ly/dataprofessor-shiny
✅ Google Colab Tips and Tricks: bit.ly/dataprofessor-google-colab
✅ Pandas Tips and Tricks: bit.ly/dataprofessor-pandas
✅ Python Data Science Project: bit.ly/dataprofessor-python-ds
✅ R Data Science Project: bit.ly/dataprofessor-r-ds
⭕ Subscribe:
If you're new here, it would mean the world to me if you would consider subscribing to this channel.
✅ Subscribe: youtube.com/dataprofessor?sub_confirmation=1
⭕ 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!
✅ Check out Kite: kite.com/get-kite/?utm_medium=referral&utm_…
⭕ Recommended Books:
✅ Hands-On Machine Learning with Scikit-Learn : amzn.to/3hTKuTt
✅ Data Science from Scratch : amzn.to/3fO0JiZ
✅ Python Data Science Handbook : amzn.to/37Tvf8n
✅ R for Data Science : amzn.to/2YCPcgW
✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: amzn.to/33jTdcv
✅ AI Superpowers: China, Silicon Valley, and the New World Order: amzn.to/3nghGrd
⭕ Stock photos, graphics and videos used on this channel:
✅ 1.envato.market/c/2346717/628379/4662
⭕ Follow us:
✅ Medium: bit.ly/chanin-medium
✅ FaceBook: facebook.com/dataprofessor/
✅ Website: dataprofessor.org/ (Under construction)
✅ Twitter: twitter.com/thedataprof/
✅ Instagram: instagram.com/data.professor/
✅ LinkedIn: linkedin.com/in/chanin-nantasenamat/
✅ GitHub 1: github.com/dataprofessor/
✅ GitHub 2: github.com/chaninlab/
⭕ 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
🌟 Buy me a coffee: buymeacoffee.com/dataprofessor
📎CODE: github.com/dataprofessor/code/tree/master/shiny…
⭕ 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.
✅ Data Science 101: bit.ly/dataprofessor-ds101
✅ Data Science YouTuber Podcast: bit.ly/datascience-youtuber-podcast
✅ Data Science Virtual Internship: bit.ly/dataprofessor-internship
✅ Bioinformatics: bit.ly/dataprofessor-bioinformatics
✅ Data Science Toolbox: bit.ly/dataprofessor-datasciencetoolbox
✅ Streamlit (Web App in Python): bit.ly/dataprofessor-streamlit
✅ Shiny (Web App in R): bit.ly/dataprofessor-shiny
✅ Google Colab Tips and Tricks: bit.ly/dataprofessor-google-colab
✅ Pandas Tips and Tricks: bit.ly/dataprofessor-pandas
✅ Python Data Science Project: bit.ly/dataprofessor-python-ds
✅ R Data Science Project: bit.ly/dataprofessor-r-ds
⭕ Subscribe:
If you're new here, it would mean the world to me if you would consider subscribing to this channel.
✅ Subscribe: youtube.com/dataprofessor?sub_confirmation=1
⭕ 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!
✅ Check out Kite: kite.com/get-kite/?utm_medium=referral&utm_…
⭕ Recommended Books:
✅ Hands-On Machine Learning with Scikit-Learn : amzn.to/3hTKuTt
✅ Data Science from Scratch : amzn.to/3fO0JiZ
✅ Python Data Science Handbook : amzn.to/37Tvf8n
✅ R for Data Science : amzn.to/2YCPcgW
✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: amzn.to/33jTdcv
✅ AI Superpowers: China, Silicon Valley, and the New World Order: amzn.to/3nghGrd
⭕ Stock photos, graphics and videos used on this channel:
✅ 1.envato.market/c/2346717/628379/4662
⭕ Follow us:
✅ Medium: bit.ly/chanin-medium
✅ FaceBook: facebook.com/dataprofessor/
✅ Website: dataprofessor.org/ (Under construction)
✅ Twitter: twitter.com/thedataprof/
✅ Instagram: instagram.com/data.professor/
✅ LinkedIn: linkedin.com/in/chanin-nantasenamat/
✅ GitHub 1: github.com/dataprofessor/
✅ GitHub 2: github.com/chaninlab/
⭕ 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
About this tutorial
Data Professor published this 20:53 video tutorial on January 29, 2020. It has been watched 150,925 times on YouTube.
- Channel
- Data Professor
- Category
- Science & Technology
- Duration
- 20:53
- Published
- January 29, 2020
- Views
- 150,925
- Likes
- 3,735
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