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Market & geospatial analysisResearch portfolio project

Compare UAE property listings by place and price

A listing is easier to assess alongside comparable locations and property types. This research project organised PropertyFinder data and added geography for interactive analysis.

Contribution
Mehrab Mashrafi
Scope
Collection, relational modelling, geocoding and Tableau
Project context
Original portfolio project

Make listing fields comparable

The source project collected property, agent, company and amenity information from PropertyFinder.ae. A flat extract made it difficult to separate a property from its associated people and organisations.

Mehrab cleaned the data with Python and organised the entities into related tables with identifiers before building the analysis.

Put the comparison back on the map

Street addresses were geocoded so Tableau views could compare geography alongside property type, price, area and listing attributes.

The result is an organised comparison process. An advertised asking price is not a completed transaction price or a verified investment return.

How the work connects

  1. 01

    Property listings

  2. 02

    Python cleaning

  3. 03

    Related tables

  4. 04

    Geographic enrichment

  5. 05

    Tableau comparisons

What this work establishes

A cleaned relational dataset and interactive views support comparisons by property type, price, area, amenities and location.

This is a historical listing dataset and research demonstration. Availability and asking prices change. It is not a valuation or investment recommendation.

Inspect the work or discuss the approach

Have a similar workflow to improve?

Tell us who uses it, which records it depends on and where the handoff slows down. We can discuss a practical implementation scope.

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Project notes from Mehrab Mashrafi and AI Byters. Updated .