Rent Price Tracker

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OSOleksandrOleksandr Shevchenko

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Case study · Clear data products

Turning rent data into a household decision

The tracker connects market data to a practical question: which city and apartment size fit a household budget?

My role

Data model, UI concept, visualization, calculation logic and responsive implementation.

Key decisions

— One city selection updates trend, ranking and income estimate.
— The curated dataset is clearly distinguished from real-time data.
— Sources and assumptions are linked directly in the product.

What works technically

— Accessible interactive SVG chart
— Two household and budget modes
— Extracted, tested calculation logic

Next development step

The next step is a versioned import pipeline that validates quarterly data and documents changes.

View source code ↗

© 2026 Oleksandr Shevchenko.

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