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We are R-Ladies

Sep 15 • 10 tweets • 4 min read

#GitHub is a code hosting platform (like GitLab or Bitbucket) that allows you to share your code with others and as a version control. But it becomes more and more social — you can for instance generate a personalized README where you have a mini website 👩🏼‍💻

The README is a great landing page to collect information about yourself and your work 👩‍💻 And it's extremely easy to set it up: Create a new public (!) repository with your GitHub handle and a README file. Now you can start editing it and making it beautiful 💅

📑 Here’s a short tutorial on how to change (and also set-up) your README: cosimameyer.com/post/personali…

🖥 And here are a million ways how to customize your README - it's fantastic and you can easily spend hours looking for the best design 🥰

github.com/abhisheknaiidu…

I personally also use GitHub to star repositories that I find helpful ⭐ and to work together on projects (issues are fantastic tools and once you got the hang of pull requests and issues, it's so satisfying to close them and check them off your list ✅)

It also helps you to organize things using #agile working tools like #Kanban boards (we have one for our {overviewR} 📦 development: github.com/cosimameyer/ov…).

If you're up for some automated pipelines 🛠️, there's GitHub Actions that (for instance) allows you to run your checks on your package once you push changes to GitHub (there's more to this in the blog post on package development: bit.ly/gh-actions-pkg) ...

... but you can also use them to host a website (with GitHub pages), implement FTP deployments, and much more!

🏙 And as a last gem, you can see a skyline of your activity on GitHub! Here’s mine from 2021: skyline.github.com/cosimameyer/20…

If you want to see what yours looks like, you can use this link: skyline.github.com 🎊 (if you want, share it and tag it with #rladies ✨ )

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We are R-Ladies

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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).

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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.

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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 😺)

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

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Sep 16

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

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🗂 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… 💻

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

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💡 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…).

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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.

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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, ...