This Tableau dashboard provides an Exploratory Data Analysis of Airbnb NYC dataset through several key insights:
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Total Bookings by Neighborhood Group and Room Type: This chart highlights the highest booking volumes in Manhattan, with entire homes being the most sought-after room type. It emphasizes the strong demand for comprehensive accommodations in central neighborhoods.
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Total Reviews Per Year: Trends show a steady increase in review volumes over time, reflecting heightened guest engagement and expanding market activity. Periodic peaks align with higher booking rates and increased market presence.
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Top 10 Hosts by Total Reviews: The analysis of top hosts reveals those with the highest review counts, indicating high levels of activity or popularity. This underscores the significant impact of host performance on guest satisfaction.
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Neighborhood Groups Distribution: Listings are predominantly concentrated in Manhattan, with fewer listings in outer boroughs. This distribution highlights the high demand and rental activity concentrated in central areas.
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Total Neighborhoods by Neighborhood Groups: The dataset shows variation in the number of neighborhoods within each group, influencing the overall market dynamics and availability of rental options.
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Average Price by Room Type: Prices for entire homes are significantly higher compared to private and shared rooms. This reflects the premium associated with larger and more private accommodations.
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Average Price by Neighborhood Group: Central neighborhoods, particularly Manhattan, exhibit the highest average rental prices. This suggests a strong correlation between location desirability and cost.
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Total Bookings by Month and Neighborhood Group-Room Type: Seasonal trends in bookings reveal higher volumes during peak tourist months. This indicates how seasonality affects demand across different neighborhood groups and room types.
