Dying High
One of my courses on data visualization required a final project. Although I do suffer from substantial vertigo, I was somehow intrigued by high mountains, specifically the 14 mountains higher than 8,000 meters. The visualization shows how many people died during ascent. The complete PDF is available here. Feel free to use it for non-commercial purposes.
Pandas & Plotly Exploration with Nobel Laureates
After having finished a course on builing graphics and animations using Matplotlib, Plotly and Dash, I wanted to test my skills on some data I know well: Nobel Laureates. The results is a Jupyter Notebook available on Kaggle that explores various aspects of the Nobel Prizes in advanced data visualizations. The notebook was set up in a way that it can be easily used by others as a tutorial to learn more about Pandas, Plotly and the Nobel Prize. I have a follow-up project in mind that allows for even more interactivity using widgets as well as a dashboard based...
Marshland Renaturation
Infographics on marshland renaturation from the 2019 Annual report of the Lindau Nobel Laureate Meetings.
#LINO18 in Colours
Infographics on participant statistics from the 2018 Annual report of the Lindau Nobel Laureate Meetings.
Evaluating #LINO16
Infographics on participant statistics from the 2016 Annual report of the Lindau Nobel Laureate Meetings.