Airbnb Market Analysis - Cape Town

Project Overview

This comprehensive analysis of Cape Town's Airbnb market provides valuable insights into pricing trends, popular neighborhoods, and investment opportunities. The study examines various factors that influence rental prices, occupancy rates, and customer satisfaction.

The analysis leverages data from Airbnb listings to identify patterns, seasonal trends, and market gaps, offering strategic recommendations for property owners and investors looking to maximize their return on investment in the Cape Town short-term rental market.

Project Type Data Analytics

Tools Used SQL, Power BI, Python

Date 2023

Key Findings

Neighborhood Analysis

Identified top-performing neighborhoods in Cape Town for short-term rentals, with Camps Bay and Sea Point showing the highest average daily rates.

Seasonal Trends

Discovered significant seasonal pricing variations, with peak rates during December-February summer months and lower occupancy during winter months (June-August).

Rating Impact

Analyzed the correlation between guest ratings and pricing, finding that properties with 4.8+ star ratings command a 15-20% premium over similar properties.

Project Documents

Analysis Report

Complete analysis of Cape Town's Airbnb market with detailed findings, methodology, and recommendations.

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Presentation Slides

Executive summary presentation highlighting key insights and strategic recommendations.

View Presentation Download

Methodology

1

Data Collection

Gathered Airbnb listing data for Cape Town, including pricing, availability, property attributes, and guest reviews.

2

Data Cleaning

Processed and cleaned the dataset, handling missing values and outliers to ensure accurate analysis.

3

Exploratory Analysis

Conducted exploratory data analysis to identify patterns, correlations, and initial insights.

4

Statistical Modeling

Applied statistical methods to identify significant factors affecting pricing and occupancy rates.

5

Visualization & Reporting

Created comprehensive visualizations and reports to communicate findings effectively.

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