I found @StephdeSilva's "Data Analysis: Questions to Ask the First Time" (and the two related posts that followed) a really helpful starting point! I’d love to hear any advice other people have on exploratory analyses and report writing :)
I first learned from @RebeccaB2820’s post how we can use #rstats to extract data from PDFs when the text isn’t automatically recognised!
When the text *is* recognised, my go-to tool is @MilesMcBain’s {datapasta} github.com/milesmcbain/da…
Julia shared many tips, but I loved the glimpse into what it means to work remotely – I’d never seen so many people in one video conference! If there isn’t an #rstats user group near you, you might want to have a look at @RLadiesRemote :)
I went from “WOW!” when I read this tweet to “OMG…” when I tried to imagine myself in her shoes!
Also, here's a gentle reminder to send applications for this year's @RStudio Summer Internship Program by Friday! :) blog.rstudio.com/2019/01/18/sum…
@BecomingDataSci was the first data science podcast I listened to, so I was happy to see these highlighted posts (I enjoyed reading them all)! Btw, she also has a list of >1700 women/gender minorities in DS: twitter.com/BecomingDataSc…
Even though I’d already read her dplyr tutorial blog posts suzanbaert.netlify.com/2018/01/dplyr-… *and* seen her talk at #amstRday github.com/suzanbaert/Sat…, I was *still* excited to see the tips and tricks, and so many minds blown! :D
I think this is an awesome tip! (Though I think the gh-pages branch approach might still necessary in some situations..?) The tweet’s also a great example of how learning out loud results in even more learning! :)
I find it so great when people use tools for something positive, but actually in a way other what the creator intended!! :)
A stats resource for "statisticians who are new to R programming language, R programmers without a stats background, analysts who work in SAS or python, college grads and developers who are relatively new to both R and stats/ML." Yes! :D
OK, I mostly work on my own, so this tweet makes me want to form a study group! And I like the idea of using teaching/presenting as a way to make sure I learn more about a particular topic :)
I love @lara_hogan's donut manifesto! I don’t think I put enough effort into marking progress.. I try to join the #CodeNewbie Sunday Coding Check-ins to meet other @CodeNewbies and share our ups/downs – another really welcoming community!
I wished I’d known this the last times I’d upgraded R, but I’m glad to know next time it should be easier!! :)
In a couple of months, I’ll be working with dates regularly.. and I’m glad to know that when the time comes, {lubridate} will have my back! 😌
I use Cmd + Enter all the time for running parts of scripts but never knew I can also use it with code in the documentation! Or that this feature works in the standard #rstats GUI! 👍
I really love this idea! I think we can learn so much from seeing how experts approach problems they’re not familiar with, in real time. This is probably the most valuable message I took away from the #TidyverseDevDay 2019 😌
I rarely see visualisations of music-related data based on the actual melody (vs. metadata), so I found this post (especially the plots) really interesting! :)
I really like the idea of a #FOMORPkgs list! :) Top of my personal list is probably @wmlandau’s {drake} ropensci.github.io/drake/, which has been on my to do list for too long.. 😔
twitter.com/i/moments/1085…
I like both “Good enough practices in scientific computing” (link in quoted tweet) and “Best Practices for Scientific Computing” journals.plos.org/plosbiology/ar…. So many good practices to learn! Plus, both papers are #OpenAccess :)
I like this approach to teaching! I first installed {data.table} just for fread, but I’m now using more of it!
Speaking of speed, has anyone tried Mark Klik's {fst} github.com/fstpackage/fst or @jimhester_’s {vroom} github.com/jimhester/vroom?
I think even people who *were* at #rstudioconf are excited to look at all the materials @rstudio made publicly available! :)
Videos are here: resources.rstudio.com/rstudio-conf-2…,
and check @kwbroman’s repo: github.com/kbroman/RStudi… for more links!
I love @samfirke's {janitor} too! Two other functions I find really handy are:
- get_dupes, which identifies duplicate rows/entries
- tabyl, which returns a pipe-friendly frequency table (plus the % if you'd like)!
I’m excited to start my week tomorrow – see you over at @WeAreRLadies!