This 3d data visualization, created by Johannes Jacubasch and Judith Weda, shows sea ice levels from 1979 to 2012. The years are plotted on one axis and the months on the other axis, while the height of the wooden pieces shows the level of sea ice. This data visualization can be opened up at any year or month to view the data from up close. If you break the Y-axis it shows all the data from a particular year. If the X-axis is broken it shows ice levels of a particular month over all the years. […]

Visual journalist Jon Keegan created this quick chart using U.S. unemployment rate starting from January 1948 (the first year that the U.S. started to record the number) through the end October 2015. The long axis represents years from 1948-2015, and each column is made of of 12 chips, each representing one month's unemployment rate figure. The height of each chip represents the rate for that month. One can see a dramatic cliff start to rise up in the fall of 2008, as the global economic […]

The visualization explores the direct influence of weather and traffic volume on air pollution, comparing data of a 4-week period during summer 2015 in Lugano (Switzerland). Different colored laser cut plates fixed on wires represent daily data. As the wires are diagonally mounted on the structure, looking from different sides, they evidence either daily data or the evolution of the parameters. Source: Carola Bartsch (2015), Summer in the city

Kellyann Geurts and In Dae Hwang, Monash University, give physical shape to thoughts by turning EEG data into solid objects. During three public events at Melbourne in 2016, she placed a mobile EEG device on volunteers and asked them to think of a memory or emotion of their choice. Their EEG output was translated in real time into a 3D shape they could see on a computer screen. Participants could then press a button to pause the shape and send it to a 3D printer. They were then invited to write […]

Seasonal plot of the monthly average temperature in Central Park NYC since 1869. The long axis is mapped to years, the other axis is mapped to months from January to December. Data sourced from the National Weather Service. Source: RoundTableRdDesign on shapeways.

Blood flow data from cardiac 4D Flow MRI (magnetic resonance imaging) holds much potential for research and diagnosis of flow-related diseases. However, understanding this data is quite challenging – after all, it is a volumetric vector field that changes over time. This paper proposes a novel slice-based physical model as a complementary method for visualizing the flow data. The design of this model respects the conventional method of viewing medical imagery (i.e., in cross-sections) but has […]