TITLE OF PROJECT- AIRBNB-NYC-DIVISION-ANALYSIS-AND-VISUALIZATION

DESCRIPTION

In this project, I performed exploratory analysis on the AIRBNB NYC Divisions Host Listings. Visualzations include;

1. Top 10 hosts on AIRBNB in NYC
2. Host listings across the NYC Neighborhood Divisions.
3. Price distribution across different neighbourhoods which include; i.Brooklyn ii.Queens iii.Manhattan iv. Staten Island v.Bronx
4. Price distributions across room types which include; i. Private room ii. Shared room iii. Entire home/apartment.

After analysis and visualizations, we concluded that: i.Manhattan is the most expensive region, with 196.88 as a mean value. ii.Bronx is the less expensive region, with 87.50 as a mean value. iii.Entire home/apt is the most expensive room type with 211.79. iv.Shared Room is the less expansive room type with 70.13.

SOFTWARES USED

Jupyter Notebook

FILE USED

AB_NYC_2019.csv This dataset is broken into 21 columns: i.id ii.name iii.host_id iv.host_name v.neighbourhood_group vi.neighbourhood vii.latitude viii.longitude ix.room_type x.price xi.minimum_nights xii.number_of_reviews xiii.last_review xix.reviews_per_month xx.calculated_host_listings_count xxi.availability_365

LINK TO PROJECT

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