Hey everyone! 👋
So, I’ve been messing around with the kaggle trip advisor dataset lately, and it’s pretty wild. There’s so much data to dig into, but I’m curious—what are some of the *best* insights y’all have found?
Like, did anyone notice any cool trends in hotel ratings vs. location? Or maybe some hidden gems in the reviews? I feel like there’s gotta be some gold in there, but I’m still kinda scratching the surface lol.
Also, anyone found any weird quirks in the data? I swear some of the columns are a bit... off, but maybe that’s just me.
Anyway, would love to hear what you’ve discovered! Drop your fav insights below—let’s share the knowledge. 😄
Cheers!
So, I’ve been messing around with the kaggle trip advisor dataset lately, and it’s pretty wild. There’s so much data to dig into, but I’m curious—what are some of the *best* insights y’all have found?
Like, did anyone notice any cool trends in hotel ratings vs. location? Or maybe some hidden gems in the reviews? I feel like there’s gotta be some gold in there, but I’m still kinda scratching the surface lol.
Also, anyone found any weird quirks in the data? I swear some of the columns are a bit... off, but maybe that’s just me.
Anyway, would love to hear what you’ve discovered! Drop your fav insights below—let’s share the knowledge. 😄
Cheers!