__STYLES__
The project: Analyze Airbnb data about 250,000+ listings in 10 major cities.
The aim: Spot any major differences in the Airbnb market between cities, understand which attributes have the biggest influence on price, identify any trends or seasonality, and spot which city offers a better value for travel.
Data Sources: CSV files containing information about hosts, pricing, location, and room type, along with over 5 million historical reviews and prices (in local currency).
The work
The output: Create a visualization using the questions asked in the aim section as a guideline.
Check the interactive report on Tableau Public! https://public.tableau.com/app/profile/lucarocchetti/viz/Airbnb_16191876177310/Airbnb