49 documents found
Technical guide: Data version control
Data possesses a fluid and complex nature: it changes, grows, and evolves constantly, displaying a volatility that profoundly differentiates it from source code. To respond to the challenge of reliably managing this evolution, we have developed the new 'Technical Guide: Data Version Control'.
This…
- Guides
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
Analysis of toxicological findings in road traffic accidents
1. Introduction
Visualizations are graphical representations of data that allows comunication in a simple and effective way the information linked to it. The visualization possibilities are very wide, from basic representations, such as a graph of lines, bars or sectors, to visualizations…
- Data exercises
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
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…
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Technical standards for good data governance
Data is a key pillar of digital transformation. Reliable and quality data are the basis of everything, from the main strategic decisions to the routine operational process, they are fundamental in the development of data spaces, as well as the basis of disruptive solutions linked to fields such as…
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Characteristics of the Spanish University students and most demanded degrees
1. Introduction
Visualizations are graphical representations of data that allow to transmit in a simple and effective way the information linked to them. The visualization potential is very wide, from basic representations, such as a graph of lines, bars or sectors, to visualizations configured on…
- Data exercises
How many accidents occur in the city of Madrid?
1. Introduction
Data visualization is a task linked to data analysis that aims to graphically represent underlying data information. Visualizations play a fundamental role in the communication function that data possess, since they allow to drawn conclusions in a visual and understandable way,…
- Data exercises
Creating word clouds from the text data with NLP techniques
1. Introduction
Visualizations are a graphic representation that allow us to comprehend in a simple way the information that the data contains. Thanks to visual elements, such as graphs, maps or word clouds, visualizations also help to explain trends, patterns, or outliers that data may present.…
- Data exercises
Help videos for data reusers in datos.gob.es
In a platform such as datos.gob.es, where the frequency of dataset updates is constant, it is necessary to have mechanisms that facilitate massive and automatic queries.
In datos.gob.es we have an API and a SPARQL point to facilitate this task. Both tools allow querying the metadata associated with…
- Guides
