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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...
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DCAT-AP and its extensions: Context and evolution
One of the main challenges that arise when addressing an Open Data initiative is to define the information architecture and facilitate interoperability between data catalogs published by different portals on the Web. In order to solve this challenge, the...
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Word Embeddings - Practical Exercise on Tag Processing
Open data portals play a fundamental role in accessing and reusing public information. A key aspect in these environments is the tagging of datasets, which facilitates their organization and retrieval. Word embeddings represent a transformative...
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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...
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1. Introducción Las visualizaciones son representaciones gráficas de datos que permiten comunicar, de manera sencilla y efectiva, la información ligada a los mismos. Las posibilidades de visualización son muy amplias, desde representaciones básicas...
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Municipal Innovation through Open Data: Solutions to make municipal services more accessible
The digital revolution is transforming municipal services, driven by the increasing adoption of artificial intelligence (AI) technologies that also benefit from open data. These developments have the potential to redefine the way municipalities deliver...
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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...
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How to Create an Expert Assistant with Open Data: Building GPT to Answer the Critical Minerals Challenge
1. Introduction In the information age, artificial intelligence has proven to be an invaluable tool for a variety of applications. One of the most incredible manifestations of this technology is GPT (Generative Pre-trained Transformer),...
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Glossary of data-related terms
The following is a definition of various terms regarding data and related technologies. 1. Glossary of terms related to open data. (You can download the accessible version here) 2. Glossary of terms related to new...
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Road to electrification: Deciphering electric vehicle growth in Spain through data analytics
1. Introduction Visualisations are graphical representations of data that allow to communicate, in a simple and effective way, the information linked to the data. The visualisation possibilities are very wide ranging, from basic representations such...