24 documents found
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
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
Datos en tiempo real: Enfoques para integrar fuentes de datos en tiempo real en data.europa.eu
Este informe, que publica el Portal de Datos Europeo, analiza el potencial de reutilización de los datos en tiempo real. Los datos en tiempo real ofrecen información con alta frecuencia de actualización sobre el entorno que nos rodea (por ejemplo, información sobre el tráfico, datos…
- Reports and studies
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
The future of open data
"Information and data are more valuable when they are shared and the opening of government data could allow [...] to examine and use public information in a more transparent, collaborative, efficient and productive way". This was, in general terms, the idea that revolutionized more than ten years…
- Reports and studies
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
Emerging Technologies and Open Data: Predictive Analytics
In order to extract the full value of data, it is necessary to classify, filter and cross-reference it through analytics processes that help us draw conclusions, turning data into information and knowledge. Traditionally, data analytics is divided into 3 categories:
Descriptive analytics, which…
- Reports and studies
Data-driven education technology to improve learning in the classroom and at home
The pandemic that originated last year has brought about a significant change in the way we see the world and how we relate to it. As far as the education sector is concerned, students and teachers at all levels have been forced to change the face-to-face teaching and learning methodology for a…
- Reports and studies
