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Data & AI

Urban Data Explorer - Housing Dashboard

Housing exploration platform for Paris: Open Data pipeline (Bronze/Silver/Gold), filtering API and interactive map dashboard.

Client
EFREI academic project
Year
2026
Expertise
Data & AI
Services
Data Engineering, API, Dataviz

Context

Access to housing in Paris tells a complex story of soaring prices per square metre, precious social housing and neighbourhoods in transformation. The "Urban Data Explorer" project aims to explore, understand and compare housing dynamics in the heart of the capital.

Our approach

The project builds a complete platform, from the data pipeline to map visualisation.

  • Data Engineering

    Extraction of geolocated multi-source data (APIs, Open Data), cleaning, normalisation and geocoding. Storage is organised by processing layers (Bronze/Silver/Gold).

  • Backend

    A high-performance web API for filtering by area, period or housing category.

  • Dataviz

    An interactive dashboard with smooth navigation by arrondissement, including maps (choropleths and points), charts, a timeline and a side-by-side comparison mode.

Deliverables

A complete interactive web dashboard (pipeline, API, map front-end), built on open data, offering an accessible and intuitive view of the Parisian housing market.

Live demo

The dashboard, live

Pick an indicator, click an arrondissement and scrub the timeline: the map below is the real application, served as a static export.

Architecture

From raw file to map

A medallion architecture (Bronze → Silver → Gold) served by a secured API. Select a component to read the technical choices.

Bronze

Sources & Bronze Zone

Automated extraction via a daily Cron job. Heterogeneous ingestion: massive DVF files (.txt) from Data.gouv and OpenData APIs (Paris, IDF Mobilités) stored locally in their raw state.

  • Cron
  • DVF .txt
  • OpenData API

Tech stack

Tooling

Data

  • PostgreSQL
  • MongoDB

Backend

  • Python
  • Flask

Frontend

  • MapLibre
  • Plotly

Infra

  • Docker
  • Kubernetes
View the full source code (GitHub)(new tab)

ETL pipeline, Flask API and MapLibre map client.

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