The "Analysis of New York Airbnb" project is a comprehensive examination of Airbnb listings in the city. Using Tableau Prep and Advanced MS Excel, this analysis aims to uncover valuable insights about the Airbnb market in New York City.
Key objectives of the project include:
- Data Preparation: Utilizing Tableau Prep and Advanced MS Excel techniques to clean, transform, and organize the Airbnb dataset for analysis.
- Descriptive Analysis: Conducting in-depth exploratory analysis to understand the distribution of listings, pricing trends, and property types in different neighborhoods of New York City.
- Pricing Optimization: Identifying factors that influence listing prices and developing strategies to optimize pricing for hosts.
- Demand and Availability: Analyzing the availability of listings across different times of the year, identifying peak seasons, and assessing the impact on demand.
- Customer Segmentation: Segmenting customers based on their preferences, identifying target demographics, and tailoring marketing strategies accordingly.
- Visualizations and Reporting: Creating interactive dashboards and visualizations using Tableau to effectively communicate the findings and insights to stakeholders.
By leveraging Tableau Prep and Advanced MS Excel, this project aims to provide a comprehensive analysis of the New York City Airbnb market, enabling stakeholders to make data-driven decisions and optimize their Airbnb listings for success in the competitive market.