Python

In the current landscape of data analysis and artificial intelligence, the automatic generation of comprehensive and coherent reports represents a significant challenge. While traditional tools allow for data visualization or generating isolated...

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...

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...

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...

1. Introduction Visualizations are graphical representations of data that allow you to communicate, in a simple and effective way, the information linked to it. The visualization possibilities are very extensive, from basic representations such as...

1. Introduction Visualizations are graphical representations of data that allow the information linked to them to be communicated in a simple and effective way. The visualization possibilities are very wide, from basic representations, such as line,...

1. Introduction Visualizations are graphical representations of data that allow the information linked to them to be communicated in a simple and effective way. The visualization possibilities are very wide, from basic representations, such as line,...

1. Introduction 2. Objective 3. Resources 3.1. Datasets 3.2. Tools 4. Data processing and preparation 5. Data enrichment 6. Map visualization 6.1. Map generation with "Google My Maps" 6.2. Personalization of the information to be...