R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps

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

⭐️ Code ⭐️

⭐️ 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

🎉 Thanks to our Champion and Sponsor supporters:
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👾 DeezMaster
👾 AppWrite

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[azadjain]

This channel is 💎. Now there is no money constraint for education.

[Kush_N_]

Thanks, Professor I am currently learning R this is valuable for me.

[DorMatzliah]

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!

[abdulhaseeb]

No Doubt that, It has to be the Fastest Growing YouTube Channel🔥

[vivienskapuku]

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.

[mehrozbaig]

You guys doing such great work.
May Allah (swt) bless you.!
Love from Pakistan.

[maggieduncan]

very cool - also funny how the youtube captions say SHINee like the kpop group lol

[karthick]

Thanks very much!!! have been searching related contents for months.

[백영래-ux]

31:16 what does length.out = input$bins + 1 mean? Can you explain it to me in plain English? (The answer has been generated by ChatGPT.) In the Shiny app code, seq(min(x), max(x), length.out = input$bins + 1) is used to create a sequence of values that is used to define the bins for the histogram.

The seq function is used to create a sequence of evenly spaced values. In this case, the first argument min(x) is the starting value of the sequence, and the second argument max(x) is the ending value of the sequence. The length.out argument specifies the length of the sequence that should be generated.

The value of input$bins is the number of bins selected by the user using the sliderInput. The +1 is added to input$bins to ensure that the sequence has one more value than the number of bins selected by the user. This is because the hist function includes the rightmost edge of the last bin, so the number of breaks needed is bins+1.

Therefore, length.out = input$bins + 1 means that the seq function should generate a sequence of values that is input$bins + 1 long, starting at the minimum value of x and ending at the maximum value of x. This sequence of values is used to define the breaks or bins for the histogram.

[wixtsfm]

my randomforest model is giving error
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

[paulabarros]

Thanks, professor!!! Really amazing class.

[edwardquinn]

This is exactly what I was looking for thank you!

[spaceremote]

Very well explained professor, Thanks

[TheAmazinRaven]

I saw this & thought it was a parody of something w Pokémon & programming & then I noticed Data Prof in the thumbnail (& the FCC Chanel) & realized R Shiny is actually a thing 🤣

[gulalijawa]

On Play Golf? I got an error
[1] Prediction no yes
<0 rows> (or 0-length row.names)
anyone can help me?

[hubent]

I recommend this video to YouTube #youtube ❤️💯

[napier]

Hi, great video, thanks very much. What is the advantage of deploying to Heroku rather than just publishing to Shinyapps? Thanks!

[Chevignay]

Awesome stuff thank you so much for your time

[ksinghimtnag]

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

[tkakar]

Great tutorial, made it very easy to understand. Is there a link the slides mentioned in the tutorial? Thanks!