Knowledge

In this section you can find different tabs that take you to different types of resources related to data, open data and its reuse, including: data science exercises, infographics, reports and studies, videos, etc. These resources have been elaborated, both by the datos.gob.es team and by other external organisations. You can use the menu on the left to filter by various parameters such as publication date and audience, among others.

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A practical introductory guide to exploratory data analysis in Python

The following presents a new guide to Exploratory Data Analysis (EDA) implemented in Python, which evolves and complements the version published in R in 2021. This update responds to the needs of an increasingly diverse community in the field of data science. Exploratory Data Analysis (EDA)…

análisis de datos análisis exploratorio de datos AED +5

Guía práctica de introducción al análisis exploratorio de datos en Python

How to develop a plan of measures to promote openness and reuse of open data

Public sector bodies must make their data available for re-use, making it accessible in the form of open data, as referred to in Spain's legislative framework. The first step for this is that each entity, at local, regional and state level, as well as bodies, entities and trading companies…

gobernanza infografías Oficina del Dato +1

Capture of the infographic

Introduction to data anonymisation: Techniques and case studies

Data anonymization defines the methodology and set of best practices and techniques that reduce the risk of identifying individuals, the irreversibility of the anonymization process, and the auditing of the exploitation of anonymized data by monitoring who, when, and for what purpose they are used…

anonimización privacidad datos personales +4

Introducción a la anonimización de datos: técnicas y casos prácticos

Practical guide for improving the quality of open data

When publishing open data, it is essential to ensure its quality. If data is well documented and of the required quality, it will be easier to reuse, as there will be less additional work for cleaning and processing. In addition, poor data quality can be costly for publishers, who may spend more…

calidad informes infografías +3

Practical guide for improving the quality of open data

Features for the creation of data spaces

A data space is an ecosystem where, on a voluntary basis, the data of its participants (public sector, large and small technology or business companies, individuals, research organizations, etc.) are pooled. Thus, under a context of sovereignty, trust and security, products or services can be…

estándares Sector público análisis de datos +4

Photograph depicting the complexity of visual data and used to explain the creation of data spaces.

A practical introductory guide to exploratory data analysis

Before performing data analysis, for statistical or predictive purposes, for example through machine learning techniques, it is necessary to understand the raw material with which we are going to work. It is necessary to understand and evaluate the quality of the data in order to, among other…

análisis de datos análisis exploratorio de datos AED +4

Exploratory Data analysis (EDA)