Poll #1 results are in! Now let’s see if we can answer this *for real* by generating an✨ AWESOME✨ list of #RLadies blogs! 💜 Comment 👇🏽 for yourself or someone you know (1 comment = 1 blog)! I’ll kick it off w/ some #RLadies blogs I have read recently!
After that inspiring panel of women in Data Science, I want to give a spotlight and appreciation round to all those #RLadies that are active on #rspatial and that have definitely inspired me to also try and be part of the community 🤩
I invite you all to give a shoutout to those amazing #RSpatialLadies that have crossed your path!
Anyone wants to get started or has used #rspatial and learned from tutorials/courses using packages such as {rgdal} {rgeos} {sp} {raster}? Are you getting used to them already? You might want to reconsider 🤔
🧵 1/n
For the past few months the R Spatial community of developers and active users has been dealing with the news of the retirement of {rgdal} & {rgeos}
🧵 2/n
For {sp} is a similar story, although still getting maintenance, a migration to {sf} should be mostly preferred for any new developments and implementations
🧵 3/
Hi all 👋 today I would like to talk about #CV tips. Did you know you can create your CV in #rstats? There are so many cool 📦 out there!
I personally use {vitae} with a good range of eye-catching templates to choose from, I highly recommend it!
What I like the most about building my CV in R is that I can organize everything in an R-project, I push to GitHub which gives me track changes and I can use the great advantages of #rmarkdown and #latex. Here is the repo of my #vitae CV github.com/loreabad6/R-CV
I had to modify a bit the .csl file to adapt certain details to my taste, and I included a 🗺️ of my journey which has had some nice feedback, as it serves as a visual presentation card 💃
🙌 Today was a great example of how the #rstats community can help getting learning resources! Thank you for all the amazing material about #deeplearning & #reproducibility with R 🙏 This feels like a good preamble to the remaining poll results about learning strategies 👇
With all these materials out there I am now wondering when will I have time to read it all, same with practicing code and the new skills I will learn after going through them!
68% of replies claimed to practice when they have time, but I think this could have been more accurate 👇
Morning! Let's continue with the polling results, today and get some #learningtips. Here is what people voted for regarding learnings strategies! Not surprisingly, the big majority likes some hands-on exercises, although a mix between theory and practice is also welcome 😎
📚 Very few people voted for learning from books about coding, but have you already seen all the resources out there? #rstats has a big pile, and the best way to browse them all is with the Big Book of R #rmarkdown#bookdown bigbookofr.com/index.html
Most of the people like blogs and written content. Well this is the perfect opportunity to point you to the #RLadies blogs collected by @PipingHotData & @DrMowinckels