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Crystal Franklin
All of The Data Lab
In ProgressHospitality & Real Estate

Florida Airbnb Analytics

Unlocking what drives profitability in Florida's short-term rentals

Google SheetsExcelSQL / BigQueryTableau

01

Business Question

Explores how location, amenities, property type, and seasonality affect revenue and occupancy in Florida's Airbnb market. Broward County (Fort Lauderdale) is used as a representative South Florida region because Miami's dataset was unavailable.

Florida's Airbnb market is highly seasonal and competitive. Stakeholders need clarity on which factors most affect profitability — including how pricing, amenities, and neighborhood dynamics drive occupancy and revenue.

Business task

Analyze Airbnb data from Broward County (proxy for Miami–Fort Lauderdale) to identify key drivers of pricing, occupancy, and revenue.

Stakeholders

  • Hosts & property managers
  • Real estate investors
  • City / tourism planners

Key performance indicators

  • Average Daily Rate (ADR)
  • Occupancy Rate (%)
  • Revenue per Available Listing (RevPAL)
  • Amenity Impact Score
  • Neighborhood Performance Index

Guiding questions

  • How do pricing and occupancy vary by neighborhood?
  • Which amenities add the most value?
  • How does property type affect revenue?
  • What seasonal patterns shape demand?

02

Data Sources

Inside Airbnb · Broward County, FL · snapshot 2025-06-24

FileContentsSizeSource
listings.csv.gzProperty details~12,000 rows · 82 columnsGoogle Drive
calendar.csv.gzDaily pricing~2M rowsGoogle Drive
reviews.csv.gzGuest feedback~1M rowsGoogle Drive

Validation summary

  • Verified datasets open correctly in Google Sheets.
  • listings.csv → ~12,000 rows (82 columns).
  • calendar.csv → partial sample loaded (~2M total rows).
  • No missing headers or corrupted data found.
  • Metadata and snapshot details recorded in the Data Summary tab.
  • Data dictionary (metadata log) — in progress.

Limitations

Broward County is used as a proxy for the Miami–Fort Lauderdale market because Miami's dataset was unavailable at the time of collection. Data reflects a single snapshot date.

03

Preparation & Cleaning

Content Coming Soon. Data cleaning, validation, and transformation steps will be published here once the verified analysis is complete.

04

Methodology

The Google Data Analytics workflow. Select a phase to see its status.

Ask — complete; documented in the sections on this page.

05

Analysis

Content Coming Soon. Exploratory analysis and KPI calculations will be published here once the verified analysis is complete.

06

Dashboards

Content Coming Soon. Interactive dashboards and charts will be published here once the verified analysis is complete.

07

Findings

Content Coming Soon. Verified findings will be published here once the verified analysis is complete.

08

Recommendations

Content Coming Soon. Recommendations and next steps will be published here once the verified analysis is complete.

09

Supporting Resources