19 documents found
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
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
Data.europa.eu and European Data Pools: a report on challenges and opportunities
This report published by the European Data Portal (EDP) explores existing and emerging developments and initiatives around data sharing using data spaces.
The objective is twofold: to identify the owners of open data involved in the implementation of data spaces and to reflect on the role…
- Reports and studies
Principles and recommendations to make data.europa.eu data more reusable
This report published by the European Data Portal (EDP) aims to advance the debate on the medium and long-term sustainability of open data portal infrastructures.
It provides recommendations to open data publishers and data publishers on how to make open data available and how to promote its…
- Reports and studies
How to deal with a data analysis project?
By analysing data, we can discover meaningful patterns and gain insights that lead to informed decision making. But good data analysis needs to be methodical and follow a series of steps in an orderly fashion. In this video (in Spanish) we give you some tips on the steps to follow:
The importance…
- Guides
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
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
Practical guide for the publication of Spatial Data
A spatial data or geographical data is that which has a geographical reference associated with it, either directly, through coordinates, or indirectly, such as a postal code. Thanks to these geographical references it is possible to locate its exact location on a map. The European Union includes…
- Guides
How to publish open data in datos.gob.es?
In Spain, there are numerous open data initiatives promoted by different levels of the administration: city councils, autonomous communities and state bodies. This ecosystem, as rich as it is diverse, generates a large volume of valuable information, but it also poses an obvious challenge: how…
- Guides
A practical guide to publishing Open Data using APIs
An application programming interface or API is a mechanism that allows communication and information exchange between systems. Open data platforms, such as datos.gob.es, have this type of tool to interact with the information system and consult the data without the need for knowledge of the…
- Guides
