What Are the Best Insights You've Found in the Kaggle Trip Advisor Dataset?

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Yo! I’ve been working with the kaggle trip advisor dataset, and one thing I found is that hotels with more amenities tend to have higher ratings. Like, who doesn’t love a good spa day, right?

I used Python’s Seaborn for some cool visualizations, and it’s been super fun.

Also, some reviews are just... weird. Like, who complains about the color of the curtains? 😂
Hey! I’ve been exploring the kaggle trip advisor dataset, and one trend I noticed is that hotels with better parking options have higher ratings. Maybe it’s a big deal for road trippers?

I used Excel for basic analysis, but if you want to go deeper, maybe try Power BI.

Also, some columns are def confusing. Like, why are there so many null values in the “check-in_time” column?



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