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This project provides a comprehensive analysis of AirBnB data to uncover insights about user behavior, pricing trends, and market dynamics. It is built using Tableau to visualize and interpret the data effectively. The goal of this project is to help stakeholders make data-driven decisions.

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AirBnB Analytics Project

Description

This project provides a comprehensive analysis of AirBnB data to uncover insights about user behavior, pricing trends, and market dynamics. It is built using Tableau to visualize and interpret the data effectively. The goal of this project is to help stakeholders make data-driven decisions.

Features

  • Interactive Dashboards: Explore various aspects of AirBnB data through dynamic and user-friendly dashboards.
  • Market Analysis: Insights into pricing trends, neighborhood performance, and seasonal impacts.
  • User Behavior Insights: Analysis of customer preferences and booking patterns.
  • Visual Storytelling: Engaging and informative visualizations for quick data comprehension.

Project Contents

  • AirBnB Full Project.twbx File: Contains the Tableau Workbook with all the data visualizations and analysis.
  • Dashboards:
    • Pricing Trends Analysis
    • Neighborhood Insights
    • Seasonal Booking Trends
    • Host Performance Metrics
  • Datasets:AirBnB dataset
  • Link to My Tableau Workbook : AirBnB Full Project

Installation

To explore the Tableau Workbook:

  1. Download and install Tableau Desktop if you don’t already have it. Get Tableau here.

About

This project provides a comprehensive analysis of AirBnB data to uncover insights about user behavior, pricing trends, and market dynamics. It is built using Tableau to visualize and interpret the data effectively. The goal of this project is to help stakeholders make data-driven decisions.

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