Using literate programming is a widespread practice amongst data scientists. This practice not only encourages data scientists to produce transparent, rich and reflective accounts of their analysis without the extra overhead of switching between tools, but also leads to artefacts (i.
In this first session of the WRUG reproducibility series, I introduce two methods to deal with library dependencies: {automagic} and {renv}
An open source prototype for a visual interface to support research and Food-Water-Energy Nexus engagements, designed collaborativelly as part of Creating interfaces’ WP4, developed by the Institute for Global Sustainable Development at the …
The influence of features and properties of the urban built-up environment on people’s sense of safety and perception of beauty, social vibrancy, and walkability is a topic of interest of urban geographers, designers, planners, and environmental psychologists alike.
An open source prototype for a visual interface to support research and Nexus engagements, designed collaborativelly as part of Creating interfaces' WP4.
School routes in the Basque Country. Visualisation of data for the co-design of school routes from schools and with the children themselves.
When we are bombarded with figures and data on COVID-19, a reflection on how data is gathered, analised and visualized is a must if data is to be of any use at all.
While I have been using R for many years now (mainly for data manipulation and visualization), and I am extremely happy with some of its features (like how easy is to deal with data or to create interactive reports that can be exported in plenty of different outputs, such as pdf, documents, slides, dashboards or blog posts like this one).