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Property market

As explained in The Well-Grounded Data Analyst

A property market is the system of buying, selling, and pricing real estate within a geographic area.

A property market is the system of buying, selling, and pricing real estate within a geographic area. A practical analysis starts with a vague stakeholder goal—helping customers explore Welsh property prices—and turns historical sales data into an app prototype. section 10.2.1

Useful property-market questions include:

Welsh property-market prototype

A prototype can combine county median-price charts, annual transaction counts, county-by-year heatmaps, property-type comparisons, and ridgeline plots showing price distributions. The analysis finds geographic disparity, falling transaction counts, and generally higher detached-property prices across counties. section 10.4.3

Figure 10.27 A heatmap showing property prices across county and property type
figure

Use the county-by-property-type heatmap to compare median prices across two stakeholder-relevant dimensions. section 10.4.3

How The Well-Grounded Data Analyst covers it

How deep it goes
Moves from problem framing through exploratory visualizations and prototype selection, stopping short of a production app.
Examples
Uses Welsh county comparisons, annual transaction counts, county-year heatmaps, property-type heatmaps, and ridgeline price plots.
What it assumes
Assumes a stakeholder question and historical sales records while teaching how to translate vague needs into analytical questions.
What you can do after
Build a proof-of-concept that evaluates which property-market questions historical sales data can answer.
How it connects
Connects property types, geographic analysis, time series, data visualization, and exploratory data analysis.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of The Well-Grounded Data Analyst. The section links point to the parts of the book it draws on.