# truth social data analysis
i decided to dive deeper into all the truth social posts and do some data analysis.
up to this point, i've been going off memory, but decided i might find some more meaningful data by using rigorous data science methodologies.
i've published the project to a public repo if you want to take a ganders at it yourself. there's detailed documentation and instructions for getting the project up and running.
there's also a section on how to do all of the data science stuff with claude code -- without writing any code -- which makes it more fun. you'll need a claude pro subscription. if you're interested to know what any of the generated code is actually doing, just copy and paste it into the prompt and ask it to explain it.
if you're not familiar with github, sign up for an account and use github desktop to clone the repo. as always, create a passkey.
p.s. - if you don't want to analyze truth social data -- because it's inherently negative -- you can do this with other datasets that you find interesting.
EDIT: i updated the project README.md to use vs code's integrated terminal, instead of using the macos terminal. that way you don't have to switch between the two. to get this new commit from github -- if you already have claude code installed -- instead of using github desktop app, ask claude to pull from the repo origin, and it'll take care of the rest. otherwise, click on fetch/pull from origin in the github desktop app.