I came across Airbnb free datasets and I found it looked interesting to work with. I conducted an exploratory data analysis including three dimensions: Business Performance, Customer Satisfaction, and Host Growth. Surprisingly, Mexico city has a high customer engagement, and satisfaction contributes to better value for travels.
✨Takeaway✨ from the visualization:
- High demand for travel drives up prices 🚀 in October before the year-end rush in December and January. Prices and demand drop〽️ dramatically in April-May, during most school terms.
- Among 10 major cities, Mexico City is the most loved cities by Airbnb users. It provides the best value for money at 9.5/10 value ratings and 95% overall ratings with lower Room Price.
- The most important features🧳affecting the overall score are Wi-fi, the Essentials, long-term stays allowed and kitchen.
- The host in Mexico City also offers the quickest Host Response Time. A notable 40% majority of Super Hosts are here! 🥇
Data Source: https://www.mavenanalytics.io/data-playground?search=airbnb
Below is my final report, which was also posted on LinkedIn.
Give me a clap if you find my article is useful.👏👏👏
Check my GitHub to took a look at the whole project🍀
