Motivation The source data might be updated regularly and you want to make sure you are always using the latest data.
You want a truly reproducible workflow when you accidentally deletes the source file you downloaded.
url Flat files (csv, txt) (https://www2.ed.gov/about/inits/ed/edfacts/data-files/index.html)
readxl online zip file single file multiple files web scraping googlesheets pin
This is my second blog reflecting my RStudio::Conf 2020 experience. Check out my previous one on five great R tips I learned.
One of the best thing about R is a thriving R communtiy that constantly offers new packages and tools. For R beginners, There are tons of awesome tutorials on how to get started, but what's next? How do you find out what you don't know, and keep up with all the latest updates?
This year I had the opportunity to attend the RStudio::Conf as one of the Diversity Scholarship recipients .
Like most of the R users, I'm largely self-taught with weird gaps and false beliefs about R. Furthermore, the open source nature of R language also makes it hard to catch up with all the latest updates and trends that are most relevent. Attending conference turned out to be a great way to recognize my limitations, and be aware of all the new developments.