Tip

Read this first.

New York City's AirBnB data analysis using Python 🐍

“AB_NYC_2019” is an official AirBnB dataset containing key information about all New York City's listings for the year 2019. This dataset was retrieved from Kaggle.

The task

• Load the dataset on VS Code
• Inspect and clean the data
• Detect and handle outliers
• Explore the data and provide data-driven insights
• Visualize findings

Please take a look around and let me know your thoughts! 😊

Findings

• According to the data, the most expensive neighbourhood group based on AirBnB's 2019 listings is Manhattan with an average $179 per night, followed by Brooklyn and Staten Island. The cheapest seems to be the Bronx with $85 dollars on average.

• By no surprise, the cheapest neighbourhoods are located in the Bronx (Hunts Point, Tremont, Soundview) where we average around $50 a night only.

• When looking at room types, shared rooms are definitely the cheapest option, followed by single rooms, and entire apartments. Shared rooms are also the least popular room type offered in the City, while it is most common to have an entire homes listed by AirBnB hosts.

• When looking at the Bronx, single rooms are the most popular type of listing to be found.

• Lastly, with 629 reviews in 2019 only, Bronx's single "Room near JFK Queen Bed" is the top reviewed listing (id 9145202) by host Dona.

Thank you for checking out this repo! 🌟