Video není dostupné.
Omlouváme se.

A Gentle Introduction to creating R Shiny Web Apps

Sdílet
Vložit
  • čas přidán 18. 08. 2024
  • What if you could turn your #datascience analysis into a web application? You can do EXACTLY that with #R #Shiny.
    R Shiny is an amazing framework built to convert your data analysis into a web app - FAST! Create amazing applications your business can use in hours (not months!).
    GET THE CODE SHOWN IN THE VIDEO:
    📰 Free R-Tips Newsletter (FREE R GitHub Code Access): learn.business...
    VIDEO CONTENTS
    - Overview - 00:00
    - Nostradamus App DEMO - 00:32
    - Project Setup - 01:57
    - User Interface & R Shiny Server - 05:20
    Tired of SLOW OR STAGNANT data science learning?
    E-learning programs are costing you months.
    Your career can't afford it. Take action. Get your dream job or next promotion now!
    🆓FREE R-TRACK MASTERCLASS: learn.business...
    The SECRET is learning how to apply data science for business with our "plateau-smashing" program. 👇
    THESE COURSES WILL SKYROCKET 🚀 YOUR CAREER IN WEEKS:
    📘 My Beginner Data Science Course (Don't waste time, take this course) university.bus...
    📚The 5-Course R-Track Program (Full System, Beginner to Expert, 12-18 months FASTER than other online programs) university.bus...

Komentáře • 34

  • @BipolarGreg
    @BipolarGreg Před 3 lety +11

    I just offered to make a shiny app at work because I watched your video and thought it was great! We'll see how it goes.
    Commenting so the algorithm knows this channel is great!

  • @sapitron
    @sapitron Před 3 lety +21

    I cant say no to a gentle introduction.

    • @BusinessScience
      @BusinessScience  Před 3 lety +1

      Hey, the clicky title is working. Start for the gentle title, stay for the shiny app!

  • @sunilgupta2156
    @sunilgupta2156 Před 2 měsíci +1

    Many thanks for sharing this R Shiny video tip!

  • @Rumil_
    @Rumil_ Před 3 lety +8

    If you haven’t already, it would be sweet to see you do a statistics based course for business analysis!

    • @BusinessScience
      @BusinessScience  Před 3 lety +1

      We actually have Business Analysis with R university.business-science.io/p/ds4b-101-r-business-analysis-r

  • @trishpanda
    @trishpanda Před 9 měsíci +1

    yay

  • @princesslizzy5675
    @princesslizzy5675 Před rokem +1

    Thank you

  • @camonvothuong
    @camonvothuong Před 2 lety +1

    thanks

  • @mikiallen7733
    @mikiallen7733 Před rokem

    Hi there , thanks for the lucid application, however , how may I add a source of streamed data instead of fixed data length ? And how shall I control the cost of such stream.

  • @Ijazalijin
    @Ijazalijin Před rokem

    Subscribed how i can use to with my own data??

  • @larissacury7714
    @larissacury7714 Před rokem

    😀

  • @Hulkyard95
    @Hulkyard95 Před 3 lety +1

    How do you pull the files from Github like that?

    • @BusinessScience
      @BusinessScience  Před 3 lety

      Hi Marcus, check out the Github Setup Video: czcams.com/video/F7aYV0RPyD0/video.html

  • @tuskaton
    @tuskaton Před 3 lety +1

    Do you teach Shiny with Crud interaction? I'm interested in building an app to ease the use of SAP B1

    • @BusinessScience
      @BusinessScience  Před 3 lety +1

      Yes, we do. It’s in our Shiny Developer with AWS Course. You’ll use MongoDB to create a REST backend that you shiny app uses to store user and app data. It’s cool. university.business-science.io/p/expert-shiny-developer-with-aws-course-ds4b-202a-r/

    • @tuskaton
      @tuskaton Před 3 lety +1

      @@BusinessScience i think i'll enroll really soon :)

    • @BusinessScience
      @BusinessScience  Před 3 lety +1

      @@tuskaton excellent. You’ll love it.

  • @stanelake
    @stanelake Před 2 lety

    I have subscribed but I do not see the Git tab on my RStudio

  • @alefermin
    @alefermin Před 3 lety +2

    Why do people say Python is better at deployment when we have R Shiny?

    • @BusinessScience
      @BusinessScience  Před 3 lety +1

      Great question- honestly it seems to be comfortable for people that are in charge of deployment to use the tool they are most used to. Often that is python. But R is very good for production too. Shiny & Plumber APIs make for a very powerful set of deployment tools.

    • @alefermin
      @alefermin Před 3 lety

      @@BusinessScience great point. Also in machine learning. Have you taken a look at tidymodels? Do you think it has the potential to match scikit-learn capabilities?

  • @AM-on5ql
    @AM-on5ql Před 2 lety

    hi, if i want to ultimately make it available on the internet, which version of r do i need to download to get started? thanks!

    • @BusinessScience
      @BusinessScience  Před 2 lety +1

      Any version of R will suffice. You can use shinyapps.io or AWS, both of which we teach in our courses.

  • @CodeWithKarl
    @CodeWithKarl Před 3 lety +1

    is this a series ?

    • @BusinessScience
      @BusinessScience  Před 3 lety

      Yes, it's called R-Tips. You can sign up here: mailchi.mp/business-science/r-tips-newsletter

  • @BobNji
    @BobNji Před rokem

    yoo bro i signed up but i didn't see how to get to the github

  • @user-mq9dy2lj5u
    @user-mq9dy2lj5u Před 5 měsíci

    Shiny apps and R are the worst. I am just here so I don't get fired.

  • @ndle80535
    @ndle80535 Před rokem

    This is not good. You are all over the place Sir, but it is what it is I guess.

  • @EMTdrummer
    @EMTdrummer Před rokem +1

    Sorry, but horrible. No context. Jumping all over the place. Assumption of way too much knowledge for a "gentle" intro.