I have set myself a challenge of learning to deal with dates in R. Nothing like setting a date for an R-Ladies Sydney event where you will teach other people to spur the motivation for learning how to use the
The plan is to learn how to use the package and document my learning process along the way so that at the end of Oct I can tell everyone…
So where to start?
Google of course. Tonight I spent a little time looking for books, blogs, youtube videos, documentation, and twitter threads about lubridate. I have no idea whether any of these links will be useful, but they will be here for reference anyway.
Ooooo i got excited about this one and it derailed my googling for a bit because this blog post does exactly what i think a good blog tutorial should do. The dataset is key right? You need to find a dataset that requires you to use the thing you are trying to learn, because otherwise motivations for learning something new is pretty low. In this case Julia’s blog is about history and theatre- fun!
Reading this blog derailed my google process by making me want to jump in and mimic her process right away. I need a cool dataset to play with. Maybe the penguins have dates? Covid testing rates over time would be interesting….
Wait wait wait, one step at a time Jen. Compile the resources you need, and then find a dataset to work with.
Thanks for getting me excited about the process Julia!
Rebecca Barter’s blogs are always good. This post from her Tranistioning to the tidyverse series has a little lubridate mention, definitely worth coming back to.
Random links that may be useful…
I didn’t look very hard on youtube, this one might be ok…
Interesting that, for me, package documentation is almost the last place I look for learning inspiration. Why is that…. to unpack later.
I learn a lot about #rstats on twitter. People post about their blog posts, or data challenges and other kind souls help them out. Links to potentially useful threads below.
I found Allison’s art re lubridate on twitter, but it is SO CUTE that it deserves its own category.