Learn how to build interactive data-driven web apps in R using the Shiny package.
✏️ Course developed by Chanin Nantasenamat (aka Data Professor). Check out his YouTube
channel for more bioinformatics and data science tutorials:
⭐️ Code ⭐️
💻 Apps 1-5:
💻 Deploy Shiny App:
🔗 Medium blog posts for more data science tutorials
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⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:13) Introduction to Shiny
⌨️ (0:08:24) App 1 – Print User Input
⌨️ (0:21:12) App 2 – Display Histogram
⌨️ (0:32:07) App 3 – Machine Learning (Weather Dataset)
⌨️ (0:47:51) App 4 – Machine Learning (Iris Dataset)
⌨️ (1:05:03) App 5 – BMI Calculator
⌨️ (1:19:18) Deploy Shiny Apps to Heroku
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Really happy to see this R tutorial!
Thanks, Professor I am currently learning R this is valuable for me.
Awesome, glad to hear!
This channel is 💎. Now there is no money constraint for education.
Hi friends, thanks for watching! Big thanks Beau for this collaboration. Hope you enjoyed learning about R Shiny for Data Science.
Be sure to check out my YouTube channels and connect with me on social media for more Data Science contents!
👉 Data Professor @ YouTube https://www.youtube.com/dataprofessor
👉 Coding Professor @ YouTube https://www.youtube.com/codingprofessor
👉 Data Professor @ Twitter: https://twitter.com/thedataprof
You are an inspiration Professor 🙏🏽
@1littlecoder Thank you, you’re too kind 😊
Aa
Sir, please make a tutorial that how can we make a web admin panel for our app.
I’m using Kotlin, mvvm architecture and Firebase for the app, but don’t know how to make web admin panel so please help us with this…🙏
Looks interesting and far less intimidating than I thought!
Thanks for the very clear video, have only watched the first couple of apps but I already like the way you instruct this course,
thank you so much!
It was a useful information on R shiny. Can you please show us how to work on if the dynamic content.
Thanks @Data Professor for your tutorial, it is really amazing. I am running the IRIS dataset app on some other model ( data set) where all the columns are numeric, there are four columns open,low,high,volume , but while running the app it is showing error : variables ‘open’, ‘low’, ‘Volume’, ‘high’ were specified with different types from the fit, Request you to please help on this……. thanks
Hi, can someone tell me what is the source of airquality data that is been loaded?
I have an csv file and i want to load that instead of airquality data. pls help
Thanks a lot Data Professor. I learned Shiny in just two hours with you and I am very happy to find the simple way of deploying my ML credit risk model. God bless you.
Cool which model did you use for this
Really very much useful video. Thanks a lot. Can we try this for fuzzy c means with 4 cluster probabilty and prediction also
Sir, Can you please dmonstrate how to make shiny standalone apps. like with .exe extension!! Help is much appreciated.
Great tutorial, made it very easy to understand. Is there a link the slides mentioned in the tutorial? Thanks!
Thanks, professor!!! Really amazing class.
Thank you for sharing. Is it available some content for geomarketing?
Very helpful for my summer project! Thanks a bunch Prof Data
Awesome stuff thank you so much for your time
Very well explained professor, Thanks
Hi Prof. Your tutorial is great. I am getting following error in both Play-Golf and IRIS programs related to randomForest.
Error in y – ymean : non-numeric argument to binary operator
In addition: Warning messages:
1: In randomForest.default(m, y, …) :
The response has five or fewer unique values. Are you sure you want to do regression?
2: In mean.default(y) : argument is not numeric or logical: returning NA
This is exactly what I was looking for thank you!