Web Apps in R: Building your First Web Application in R | Shiny Tutorial Ep 1

Data Professor
Data Professor
127.2 هزار بار بازدید - 5 سال پیش - Have you ever wanted to
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.

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📎CODE: https://github.com/dataprofessor/code...

⭕ 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: https://bit.ly/dataprofessor-ds101
✅ Data Science YouTuber Podcast: https://bit.ly/datascience-youtuber-p...
✅ Data Science Virtual Internship: https://bit.ly/dataprofessor-internship
✅ Bioinformatics: http://bit.ly/dataprofessor-bioinform...
✅ Data Science Toolbox: https://bit.ly/dataprofessor-datascie...
✅ Streamlit (Web App in Python): https://bit.ly/dataprofessor-streamlit
✅ Shiny (Web App in R): https://bit.ly/dataprofessor-shiny
✅ Google Colab Tips and Tricks: https://bit.ly/dataprofessor-google-c...
✅ Pandas Tips and Tricks: https://bit.ly/dataprofessor-pandas
✅ Python Data Science Project: https://bit.ly/dataprofessor-python-ds
✅ R Data Science Project: https://bit.ly/dataprofessor-r-ds

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✅ Check out Kite: https://www.kite.com/get-kite/?utm_me...

⭕ Recommended Books:
✅ Hands-On Machine Learning with Scikit-Learn : https://amzn.to/3hTKuTt
✅ Data Science from Scratch : https://amzn.to/3fO0JiZ
✅ Python Data Science Handbook : https://amzn.to/37Tvf8n
✅ R for Data Science : https://amzn.to/2YCPcgW
✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: https://amzn.to/33jTdcv
✅ AI Superpowers: China, Silicon Valley, and the New World Order: https://amzn.to/3nghGrd

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