23 posts found
Benefits and opportunities of public initiatives for open data visualisation
Imagine you want to know how many terraces there are in your neighbourhood, how the pollen levels in the air you breathe every day are evolving or whether recycling in your city is working well. All this information exists in your municipality's databases, but it sits in spreadsheets and technical d…
How to improve data visualisation: the example of the European drugs report
The European Drug Report provides a current overview of the drug situation in the region, analysing the main trends and emerging threats. It is a valuable publication, with a high number of downloads, which is quoted in many media outlets.
The report is produced annually by the Europe…
The agreement to provide statistical data to researchers, in the context of the Data Governance Regulation
The European Union has devised a fundamental strategy to ensure accessible and reusable data for research, innovation and entrepreneurship. Strategic decisions have been made both in a regulatory and in a material sense to build spaces for data sharing and to foster the emergence of intermediar…
Our first digital navigation. Open source alternatives to Google Maps
In the vast technological landscape, few tools have made as deep a mark as Google Maps. Since its inception, this application has become the standard for finding and navigating points of interest on maps. But what happens when we look for options beyond the ubiquitous map application? In this post w…
Data visualization: the best charts for representing comparisons
Data is a valuable source of knowledge for society. Public commitment to achieving data openness, public-private collaboration on data, and the development of applications with open data are actions that are part of the data economy, which seeks the innovative, ethical, and practical use of data to…
GPT-3 chat: we programmed a data visualisation in R with the trending AI
Talking about GPT-3 these days is not the most original topic in the world, we know it. The entire technology community is publishing examples, holding events and predicting the end of the world of language and content generation as we know it today. In this post, we ask ChatGPT to help us in progra…
How to choose the right chart to visualise open data
A statistical graph is a visual representation designed to contain a series of data whose objective is to highlight a specific part of the reality. However, organising a set of data in an informative way is not an easy task, especially, if we want to capture the viewer’s attention and to present the…
When to use each programming language in data science?
Python, R, SQL, JavaScript, C++, HTML... Nowadays we can find a multitude of programming languages that allow us to develop software programmes, applications, web pages, etc. Each one has unique characteristics that differentiate it from the rest and make it more appropriate for certain tasks. But h…
10 Popular natural language processing libraries
The advance of supercomputing and data analytics in fields as diverse as social networks or customer service is encouraging a part of artificial intelligence (AI) to focus on developing algorithms capable of processing and generating natural language.
To be able to carry out this task in the current…
10 Popular Data Analytics and Machine Learning Libraries
Programming libraries refer to the sets of code files that have been created to develop software in a simple way . Thanks to them, developers can avoid code duplication and minimize errors with greater agility and lower cost. There are many bookstores, focused on different activities. A few weeks ag…
