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We are R-Ladies

@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 💪

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).

@Google

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

We are R-Ladies

@WeAreRLadies

Sep 17

@cosima_meyer

The curation week is almost over and I would like to thank everyone for joining the discussions this week! It’s been a blast 🥳
If you enjoyed this week, feel free to reach out on Twitter (@cosima_meyer) or GitHub (github.com/cosimameyer/) ✨

@cosima_meyer

@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! 💜

@cosima_meyer

@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 😺)

👇

https://twitter.com/pilizalde/status/1570741209806798854

Read 21 tweets

We are R-Ladies

@WeAreRLadies

Sep 16

📝 If you also keep thinking about brains and bodies, here is more of it to summarize the key points 🤓 #rstats

@Rami_Krispin

🗂 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/sh… 💻

@Rami_Krispin

@Rami_Krispin 📖 If you're up for more input on ShinyApps, here's the bible of Shiny: mastering-shiny.org

Read 6 tweets

We are R-Ladies

@WeAreRLadies

Sep 16

💡 What is reactivity and what does it have to do with a carrier pigeon? 🐦

To better understand how a #ShinyApp works, it's good to understand what's behind reactivity.

@StatGarrett

To describe it, I love the image of a carrier pigeon 🐦 (I picked up this idea when reading a post by @StatGarrett - so all credits go to him and all errors are mine ✨)

@StatGarrett

@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/under…).

Read 9 tweets

We are R-Ladies

@WeAreRLadies

Sep 16

👩🏼‍💻 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 ✨

Once it's open, you can replace the code that is already in the "app.R" file with this code snippet below👇 It does all the magic and shows how you can build a simple #ShinyApp 🔮

(it's here for you to try: bit.ly/shinyapp-test)

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

We are R-Ladies

@WeAreRLadies

Sep 16

Today, we'll discover how you can use the power of #rstats to create an interactive #shinyapp ✨

@ViktErik

💡 What is a ShinyApp?

Shiny is a framework that allows you to create web applications - ShinyApps ☺️ You can use them for multiple purposes - to visualize data 🎨 (for instance the Scottish Household Survey by @ViktErik, bit.ly/3TqZevY, ...