I primarily have used R for big data work, but find myself in Python here and there for non-stats stuff. #tidyverse is my jam, and pandas seems clunky by comparison. But, just learned about polar for python data frames. Who uses what to do big munging work?

#Rdata #Python

Hey stats folks. What are you using for Bayesian analysis? I started in JAGS, have built my own general purpose Metropolis-Hastings sampler, but word on the grapevine is STAN and brms (if R) is the way to go. Who among you writes in STAN directly vs using an interface vs using something else?

For those data folks that do Business Intelligence work or just data viz in general, and are planning on going to Tableau Conference, check out this substack post!

open.substack.com/pub/itselisa...

Fun fact:

If you take the total wealth of the top 1% of Americans (U.S.) and divide it evenly amongst the total population of the U.S., everyone would get about $145,000.

Sources:
www.federalreserve.gov/releases/z1/...

www.census.gov/quickfacts/f...

So... I really don't like using R. Its syntax is ugly and weird, and it just feels clunky. Yet I find myself back there again and again and again of my own volition...

I continue to be a big fan of open source stacks. Everything I want to do on the data end of things can be done via Python / R and SQLite / PostgreSQL. I don't do much front end work though. What do open source / free software folks like to use for web dev?

To live in a world where documents are LaTeX or Markdown. Where data relationships are Primary or Foreign and queries are sequel, and applications have python APIs which dont require Azure admin access.

i have determined that Sharepoint is terrible. And Excel is terrible. in fact everything Microsoft is terrible. I dont know why i have to keep relearning this hard fact.

😂