136 documents found
Technical Guide: Implementing SHACL
The adoption of the new DCAT-AP-ES profile aligns Spain with the application profile in Europe (DCAT-AP), facilitating automatic federation between data catalogs defined in RDF (Resource Description Framework).
In this RDF graph environment where flexibility is the norm, the absence of traditional…
- Guides
Design and visualize road accident rates using D3.js
Introduction
Every year there are tens of thousands of accidents in Spain, in which thousands of people are injured of varying degrees, and which occur in very different circumstances, both in terms of the type of road and the type of accident.
Many of the statistics related to these parameters are…
- Data exercises
Public sector data reuser´s decalogue
The "Public Sector Data Re-User´s Decalogue" (2025 edition), offers an updated guide to facilitate the access, reuse and enhancement of public sector information in the current context marked by the data economy, artificial intelligence and new European regulatory frameworks. It maintains its…
- Guides
Technical guide: Data version control
Data possesses a fluid and complex nature: it changes, grows, and evolves constantly, displaying a volatility that profoundly differentiates it from source code. To respond to the challenge of reliably managing this evolution, we have developed the new 'Technical Guide: Data Version Control'.
This…
- Guides
Modeling Grant Budgeting with Apache Spark: A Hands-On Exercise with Open Data
In the public sector ecosystem, subsidies represent one of the most important mechanisms for promoting projects, companies and activities of general interest. However, understanding how these funds are distributed, which agencies call for the largest grants or how the budget varies according to the…
- Data exercises
Guide to migrating to DCAT-AP-ES
The future new version of the Technical Standard for Interoperability of Public Sector Information Resources (NTI-RISP) incorporates DCAT-AP-ES as a reference model for the description of data sets and services. This is a key step towards greater interoperability, quality and alignment with…
- Guides
Data Scientist's Decalogue
Data science has become a pillar of evidence-based decision-making in the public and private sectors. In this context, there is a need for a practical and universal guide that transcends technological fads and provides solid and applicable principles. This guide offers a decalogue of good practices…
- Guides
Practical Exercise on Multiple Linear Regression: Predict Air Quality in Castilla and León
In the field of data science, the ability to build robust predictive models is fundamental. However, a model is not just a set of algorithms; it is a tool that must be understood, validated, and ultimately useful for decision-making.
Thanks to the transparency and accessibility of open data, we…
- Data exercises
Unity Catalog: Empowering Collaboration in the Data and AI Ecosystem through Open Source
Data sharing has become a critical pillar for the advancement of analytics and knowledge exchange, both in the private and public sectors. Organizations of all sizes and industries—companies, public administrations, research institutions, developer communities, and individuals—find strong value…
- Data exercises
Learn to Generate Reports with LangGraph and AI
In the current landscape of data analysis and artificial intelligence, the automatic generation of comprehensive and coherent reports represents a significant challenge. While traditional tools allow for data visualization or generating isolated statistics, there is a need for systems that can…
- Data exercises
