37 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
Observatorio de casos de uso: seguimiento de 3 años de 30 casos de reutilización para comprender el impacto económico, gubernamental, social y medioambiental de los datos abiertos (Volumen I)
Medir el impacto de los datos abiertos es uno de los retos que tienen por delante las iniciativas de datos abiertos. En este contexto, el Portal de Datos Europeo ha puesto en marcha un observatorio de casos de uso que constará de diversos informes.
En el primer informe se presenta la…
- Informes y estudios
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
Copernicus data for the open data community
This report published by the European Data Portal (EDP) aims to help open data users in harnessing the potential of the data generated by the Copernicus program.
The Copernicus project generates high-value satellite data, generating a large amount of Earth observation data, this is in line…
- Reports and studies
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
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
