11 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
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), developed by OpenAI. GPT is a natural language model…
- Data exercises
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 as line graphs, bar charts or relevant metrics,…
- Data exercises
Analysis of meteorological data using the "ggplot2" library
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 a line chart, bars or sectors, to visualizations…
- Data exercises
Analysis of the state and evolution of the national water reservoirs
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 broad, from basic representations such as line, bar or pie chart, to visualizations configured on…
- Data exercises
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
Informe: Datos abiertos, herramienta para el desarrollo de las Smart Cities
Gestión sostenible, eficiencia, mejores servicios para los ciudadanos y nuevas oportunidades de negocio son algunas de las bases sobre las que se sustentan las Smart Cities. El equipo de datos.gob.es ha elaborado un informe específico donde se analiza la importancia de los datos abiertos para la…
- Informes y estudios
