12 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
Data Visualisation Guide for Local Authorities
The FEMP's Network of Local Entities for Transparency and Citizen Participation has just presented a guide focused on data visualisation. The document, which takes as a reference the Guide to data visualisation developed by the City Council of L'Hospitalet, has been prepared based on the search for…
- Guides
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…
- 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 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…
- 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
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
How to integrate a visualization tool into a data platform
The saying "a picture is worth a thousand words" is a clear example of popular wisdom based on science. 90% of the information we process is visual, thanks to a million nerve fibers that link the eye to the brain and more than 20,000 million neurons that perform the processing of the impulses…
- Guides
Open Data and Smart Cities Report: an alternative legal perspective
The commitment to so-called smart cities is currently one of the major commitments to technological innovation in the public sector, especially in the local sphere. This type of initiative aims to address challenges to sustainability in the urban context and, through the advanced use of information…
- Reports and studies
Open data representation vocabulary in Digital Cities
As a result of transparency and citizen participation demand, an increasing number of towns are focus on initiatives that facilitate citizen access to institutions and administrations´ information. However, defining, implementing and documenting an open data policy could be a challenging issue.…
- Reports and studies
