Hey everyone,
So, I’m trying to get my hands on an airbnb reviews csv dataset for some analysis I’m doing. I’ve been searching around, but most of the stuff I find is either outdated or super messy.
Anyone know where I can find a reliable airbnb reviews csv? Preferably something recent and clean, but I’m not too picky as long as it’s usable.
Also, if you’ve worked with one before, any tips on cleaning it up? I’m kinda new to this, so any advice would be awesome.
Thanks in advance!
(Also, sorry if this has been asked before—I did a quick search but didn’t find much.)
Hey! I was in the same boat a while back. I found a decent airbnb reviews csv dataset on Kaggle. It’s not perfect, but it’s recent enough and has a good amount of data.
For cleaning, I’d recommend using Python’s Pandas library. It’s super handy for handling messy data. If you’re new, there are tons of tutorials on YouTube that walk you through the basics.
Good luck!
Yo, check out Inside Airbnb. They have free datasets, including airbnb reviews csv files. Some are city-specific, but they’re usually pretty clean and updated regularly.
For cleaning, I’d say start by removing duplicates and handling missing values. OpenRefine is a great tool if you’re not into coding.
Hey there! I’ve worked with airbnb reviews csv data before, and yeah, it can be a mess. I’d suggest scraping your own data if you’re up for it. Tools like Octoparse or ParseHub can help you pull reviews directly from Airbnb listings.
Once you have the data, Excel or Google Sheets can work for basic cleaning, but Python or R is better for larger datasets.
If you’re looking for a clean airbnb reviews csv, try Data.world. They have some curated datasets, and you can filter by recency.
As for cleaning tips, focus on standardizing text (like dates and ratings) and removing irrelevant columns. It’ll save you a lot of headaches later.
Honestly, most airbnb reviews csv files I’ve found are a bit messy. But you can make them work! I’d recommend using Trifacta for cleaning—it’s super intuitive and doesn’t require coding.
Also, don’t forget to check for outliers in ratings. Sometimes there are typos or extreme values that can skew your analysis.
Hey! I’d suggest looking into public datasets on GitHub. A lot of researchers upload their airbnb reviews csv files there, and some are pretty clean.
For cleaning, I’d say start with basic stuff like trimming whitespace and converting text to lowercase. It’s boring but necessary.
I’ve been down this road before, and it’s tough finding a good airbnb reviews csv. Have you tried the Airbnb Data Dashboard? It’s not free, but they offer clean, structured datasets.
For cleaning, I’d recommend using Jupyter Notebooks with Pandas. It’s a bit of a learning curve, but it’s worth it for the flexibility.
Hey! I found a decent airbnb reviews csv on the UCI Machine Learning Repository. It’s a bit old, but it’s clean and well-documented.
For cleaning, I’d say focus on removing special characters and handling null values. Also, make sure to check for duplicate reviews—they’re more common than you’d think.
Wow, thanks so much for all the suggestions, everyone! I checked out Kaggle and Inside Airbnb, and I found a couple of airbnb reviews csv files that look promising. I’m gonna start cleaning them up using Pandas—thanks for the tip!
Quick question though: anyone know how to handle reviews in different languages? I noticed some of the datasets have non-English text, and I’m not sure how to standardize that. Any advice would be awesome!
