Interactive data visualisation to explain drinking water quality analysis

During my MSc Thesis I investigated how drinking water quality data can best shared on online portals to inform the widest audience possible. I studied how data visualisation can make water quality data more insightful with the use of graphical representation of the data. In order to do this as well as possible, a mixed method was applied to initially find out more about drinking water quality data sharing by means of qualitative research, to finally test several types of interactive data visualisations through a quantitative research. Continue reading →

How ‘global’ is professional cycling?

With the excellent results of Dutch cyclists in recent years, I immediately rise to a nationalistic sense of pride. The Netherlands again takes a prominent place on the global sports stage. But how international is the sport, and how can I feel my sense of pride on a global level. I decided to delve into the data of UCI and Procyclingstats to investigate further. Continue reading →

The interactive story of water supply facilities in Mali

With the launch of Mali’s online water atlas, anyone with Internet access can now find out the status of water supply facilities in Mali. For the first time, people can interact with and investigate water facilities in the country, including detailed background information on location, status and the local population. Featuring data collected between 2016 and 2018 by the Malian national inventory of water point data, the water portal combines different data sources into comprehensible indicators. This allows visitors to filter relevant tables, render real-time graphs and browse interactive maps.

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Everyone is a data scientist

In her talk, Rebecca Nugent concentrates on the rise of Data Science and what it means for education at the bachelor’s and perhaps master’s level. She proposes that Data Science in many ways is actually “The People’s Science” and that it has the ability to empower students and employees of all types of backgrounds including the humanities and social sciences. She claims everyone who crosses streets creates probabilistic models and is a data scientist. Interesting view! Continue reading →