21 reports and guides found for "user"
Practical guide for the publication of linked data
It is important to publish open data following a series of guidelines that facilitate its reuse, including the use of common schemas, such as standard formats, ontologies and vocabularies. In this way, datasets published by different organizations will be more homogeneous and users will be able to…
- Guides
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…
- Guides
Practical guide to publishing tabular data in CSV files
Nowadays we have more and more sources of data at our fingertips. According to the European Data Portal, the impact of the open data market could reach up to EUR 334 billion and generate around 2 million jobs by 2025 ('The Economic Impact of Open Data: Opportunities for value creation in Europe. (…
- Guides
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)…
- Guides
How to use OGC APIs to enhance geospatial data interoperability
In a world where geospatial information is crucial to address global challenges such as climate change and natural resource management, interoperability and the creation of standards are essential. Interoperability facilitates collaboration between organisations, drives innovation and ensures that…
- Guides
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…
- Guides
Help videos for data reusers in datos.gob.es
In a platform such as datos.gob.es, where the frequency of dataset updates is constant, it is necessary to have mechanisms that facilitate massive and automatic queries.
In datos.gob.es we have an API and a SPARQL point to facilitate this task. Both tools allow querying the metadata associated with…
- Guides
Help videos for data publishers on datos.gob.es
Open data publishers in the National Catalog hosted in datos.gob.es have at their disposal several internal functionalities to easily manage their datasets and everything related to them.
To bring these possibilities closer to the registered users, from datos.gob.es we have prepared a series of…
- Guides
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…
- Guides
Data processing and visualization tools
Visualization is critical for data analysis. It provides a first line of attack, revealing intricate structures in data that cannot be absorbed otherwise. We discover unimaginable effects and question those that have been imagined."
William S. Cleveland (de Visualizing Data, Hobart Press)
Over the…
- Reports and studies
