I took notes in tired/wired format from the *incredible* #rstudioconf workshop "What they forgot to teach you about R" by @JennyBryan and @jimhester_. Here are some highlights, in case useful for others.
— Travis Gerke (@travisgerke) January 18, 2019
stats337/README.md at master · hadley/stats337 · GitHub
— Read on github.com/hadley/stats337/blob/master/README.md
another reason to be careful about what to control for...a post showing how controlling for SES differences on success in an exam based on test prep
not so standard deviation podcast. Many apply but something about confer Kie season and then episode 54 spot for Microsoft https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570?mt=2
What do you do with data? Do you obtain it? Store it? Analyze it? Interpret? Present?
I sometimes struggle with priorities. Not the big ones, but for instance, should I first learn more python and webscraping, or should I think more about Bayes.
Should I take a course on R and time series, or should I make an SQLdatabase.
Should I try to analyze tweets? To what end? I’m interested in politics, government transparency, gerrymandering, basketball, fighting animal abuse, tracking how money flows into political coffers, so many things.
Just a thought for a blog title