# DataH - Dynamic Analysis for Territorial Approaches to Housing > Interactive platform for analyzing and visualizing housing data in Portugal, focusing on accessibility and territorial distribution of public housing resources. Research project funded by FCT (Fundação para a Ciência e Tecnologia). DataH is a demonstrative platform that explores territorial heterogeneity in housing policy implementation across Portugal. The project combines data visualization, statistical modeling, and scrollytelling to help public administrators design, implement, and monitor housing policies that are better aligned with territorial realities. The platform addresses Portugal's acute housing crisis through multifactorial analysis, examining the distribution of Recovery Plan (PRR) resources and their impact on territorial asymmetries. It provides tools for optimizing public resource allocation in housing policies. ## Core Features - [Data Simulator](https://www.datah.pt/simulador): Interactive exploration tool for housing data with territorial statistical models - [Scrollytelling Essays](https://www.datah.pt/dados): Narrative-driven data exploration about Portugal's housing crisis - [Research Team](https://www.datah.pt/equipa): Information about the researchers and institutions involved ## Documentation - [Project Methodology](https://www.datah.pt/dados/corrida-desigual): Analysis of unequal access to affordable housing and PRR resource distribution - [Data Sources](https://www.datah.pt/dados): Information about Local Housing Strategies (ELH), 1.º Direito Program, and O Contador Portal data ## Technical Implementation - Built with SvelteKit and Svelte 5 (using runes API) - Styled with Tailwind CSS v4 - Uses MDsveX for markdown content - Enhanced images with @sveltejs/enhanced-img - Static site generation for optimal performance - Service worker implementation for offline capabilities ## Research Context - **Funding**: FCT - Fundação para a Ciência e Tecnologia - **Reference**: 2024.07312.IACDC/2024 - **DOI**: https://doi.org/10.54499/2024.07312.IACDC - **Language**: Portuguese (primary), with English technical documentation - **Geographic Focus**: Portugal, with emphasis on municipal and regional variations ## Key Concepts - Housing accessibility analysis based on price-to-income relationships - Territorial cohesion and regional development balance - Multifactorial analysis considering multiple variables simultaneously - Externalities and indirect impacts of housing policies - Evidence-based policy recommendations supported by statistical data ## Data Philosophy - Prioritizes open data principles - Assumes Portugal's territorial heterogeneity - Focuses on automatic updates and transparent methodologies - All claims supported by verifiable data sources - Demonstrates rather than prescribes policy solutions