22 posts found
How to ensure the authenticity of satellite imagery
Synthetic images are visual representations artificially generated by algorithms and computational techniques, rather than being captured directly from reality with cameras or sensors. They are produced from different methods, among which the antagonistic generative networks (Generative Adversarial…
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…
How to measure carbon footprint using open data
The carbon footprint is a key indicator for understanding the environmental impact of our actions. It measures the amount of greenhouse gas emissions released into the atmosphere as a result of human activities, most notably the burning of fossil fuels such as oil, natural gas and coal. These gases,…
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 activism: an increasingly relevant practice in the age of platforms
Data activism is an increasingly significant citizen practice in the platform era for its growing contribution to democracy, social justice and rights. It is an activism that uses data and data analysis to generate evidence and visualisations with the aim of revealing injustices, improving peop…
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…
11 libraries for creating data visualisations
Programming libraries are sets of code files that are used to develop software. Their purpose is to facilitate programming by providing common functionalities that have already been solved by other programmers.
Libraries are an essential component for developers to be able to program in a simple way…
