This repo contains Project-01 data and solution at Istanbul Data Science Academy. Project-01 is about Exploratory Data Analysis (EDA) of Airbnb London Data.
Exploratory Data Analysis (EDA) is an approach to analysing data set to summarise their main characteristic, often with visual methods. (Wikipedia)
Finding best location to buy a new property for investment that host on Airbnb. Answering these questions for each borough
- Number of properties that host on Airbnb
- Average price per night
- Estimate Occupancy day per year
- Calculate annual income, annual expense and annual return, initial expense etc.
- Calculate return of investment rate and total profit
Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7 million accommodations and 50,000 handcrafted activities, all powered by local hosts. An economic empowerment engine, Airbnb has helped millions of hospitality entrepreneurs monetize their spaces and their passions while keeping the financial benefits of tourism in their own communities. With more than three quarters of a billion guest arrivals to date, and accessible in 62 languages across 220+ countries and regions, Airbnb promotes people-to-people connection, community and trust around the world.
Data obtained from Inside Airbnb http://insideairbnb.com/get-the-data.html