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Sep 16 โ€ข 8 tweets โ€ข 8 min read
Today, we'll discover how you can use the power of #rstats to create an interactive #shinyapp โœจ
๐Ÿ’ก What is a ShinyApp?

Shiny is a framework that allows you to create web applications - ShinyApps โ˜บ๏ธ You can use them for multiple purposes - to visualize data ๐ŸŽจ (for instance the Scottish Household Survey by @ViktErik, bit.ly/3TqZevY, ... Scottish Household Survey showing a visualization of data in
@ViktErik @Shel_Kariuki ... build interactive appendices (bit.ly/shiny-appendix) or search engines (bit.ly/shiny-se), and so much more โœจ

If you want more, have a look at the #shiny gallery @rstudio: shiny.rstudio.com/gallery/ โญ Appendix of an academic paper showing a correlation matrixSearch engine showing a coordinate system where papers are l
@ViktErik @Shel_Kariuki @rstudio ๐Ÿ’ก What does a ShinyApp need?

A ShinyApp consists of two central components. The UI and the server -- or, as I like to think about them, the body ๐Ÿ‘ค and the brain ๐Ÿง 
@ViktErik @Shel_Kariuki @rstudio ๐Ÿ’ก What is the UI?

The user interface (or short UI) is like the body of your app ๐Ÿ‘ค It allows you to define how it looks and where the components (such as text, visualizations, or tables) are placed. It defines the outer appearance of your app. The code works as follows: An image showing a pseudo UI ui <- fluidPage( titltePanel(&q
@ViktErik @Shel_Kariuki @rstudio ๐Ÿ’ก What is the server?

The server is the brain - here's where all the computing happens ๐Ÿง  You can dump (more or less) all your typical functions (such as plotting something with ๐Ÿ“ฆ {ggplot2}) in here ๐Ÿค—
It can look like this: An image showing a pseudo server server <- function(input, o
@ViktErik @Shel_Kariuki @rstudio But now it's your turn - are there any plans on turning a project into a #ShinyApp? Or did you already do it? Tell us about it! โœจ

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More from @WeAreRLadies

Sep 17
And in my last Twitter thread, I wanted to talk with you about some powerful approaches in #NLP and how we can use both #rstats and #python to unleash them ๐Ÿ’ช
One possible downside when using the bag of words approach described before is that you often cannot fully take the structure of the language into account (n-grams are one way, but they are often limited).
You also often need many data to successfully train your model - which can be time-consuming and labor intensive. An alternative is to use a pre-trained model. And here comes @Google's famous deep learning model: BERT.
Read 19 tweets
Sep 17
The curation week is almost over and I would like to thank everyone for joining the discussions this week! Itโ€™s been a blast ๐Ÿฅณ
If you enjoyed this week, feel free to reach out on Twitter (@cosima_meyer) or GitHub (github.com/cosimameyer/) โœจ
@cosima_meyer I feel very honored that I had the chance to talk with you about the things I enjoy doing and I cannot wait to learn more from the upcoming curators - the lineup looks amazing! ๐Ÿ’œ
@cosima_meyer If you missed a Twitter thread this week, head over to @pilizalde's amazing thread where she collected all of them (I love the GitHub emoji ๐Ÿ˜บ)

๐Ÿ‘‡
Read 21 tweets
Sep 16
๐Ÿ“ If you also keep thinking about brains and bodies, here is more of it to summarize the key points ๐Ÿค“ #rstats A visual summary of ShinyAp...
๐Ÿ—‚ And as announced at #rstudioconf2022, you can now also build ShinyApps in #python! @Rami_Krispin set up a great repository that shows you how to set up your ShinyApp in Python using #shinyelive: github.com/RamiKrispin/shโ€ฆ ๐Ÿ’ป
@Rami_Krispin ๐Ÿ“– If you're up for more input on ShinyApps, here's the bible of Shiny: mastering-shiny.org
Read 6 tweets
Sep 16
๐Ÿ’ก What is reactivity and what does it have to do with a carrier pigeon? ๐Ÿฆ

To better understand how a #ShinyApp works, it's good to understand what's behind reactivity. Infographic showing reactiv...
To describe it, I love the image of a carrier pigeon ๐Ÿฆ (I picked up this idea when reading a post by @StatGarrett - so all credits go to him and all errors are mine โœจ)
@StatGarrett What reactivity does is "a magic trick [that] creates the illusion that one thing is happening, when in fact something else is going on" (shiny.rstudio.com/articles/underโ€ฆ).
Read 9 tweets
Sep 16
๐Ÿ‘ฉ๐Ÿผโ€๐Ÿ’ป How do you set up your own #ShinyApp?

It's easy in #rstats! Start a new #Rproject and select "Shiny Application". It will create a project with an "app.R" file for you โœจ Snapshot showing RStudio Pr...
Once it's open, you can replace the code that is already in the "app.R" file with this code snippet below๐Ÿ‘‡ It does all the magic and shows how you can build a simple #ShinyApp ๐Ÿ”ฎ

(it's here for you to try: bit.ly/shinyapp-test) ImageScreenshot showing a ShinyA...
What the ShinyApp does:

You have checkboxes on the left side that let you choose countries (it's the ISO3 abbreviation, so "RWA" stands for Rwanda) and, depending on what you selected, your #ShinyApp will show a (non-realistic) population size for each country in a new plot.
Read 24 tweets
Sep 15
While I touched the surface of what you can do with #Git today, itโ€™s an extremely powerful tool that has so much more to offer ๐Ÿคฉ

Here are some more resources, if you want to learn more about it:

๐Ÿ“– happygitwithr.com

๐Ÿ“– atlassian.com/git (my go-to resource)
And there are of course fantastic #rladies talking about using #Git:

๐Ÿ“บ @RLadiesBmore: (by @lisalendway)
Read 5 tweets

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