The analysis of statistical data about cancer occurence is an essential task in epidemiology. It is important to identify risk factors in the early stage of occurrence. The challenge is that every cancer occurence must be analysed under different perspectives. Every occurence contains information about the age, gender, localization of the cancer (e.g. lung) and implication. Through this multidimensional view the visualization of cancer statistics must cover these properties simultaneously.
March 01, 2013 | Comments (8) | Category: Visualization
A hand-made visualization was done to connect 2385 paragraphs of the German Civil Code by 1896. Every paragraph contains a number of references to other paragraphs. In the physical visualization each reference was visualized through red threads.
February 17, 2013 | Comments (3) | Category: Physical Visualization
Germany is getting older especially in the forecast from 2015 to 2060. The heatmap shows the German population from 1992 to 2060. Through the use of this visualization technique it is possible to see patterns based on a table of data.
January 08, 2013 | Comments (0) | Category: Visualization
Based on the positive feedback of the German Civil Code Visualization, we followed the invitation to the International Conference on Multisensory Law in Munich, Germany. The topic was “Visualizing the Complexity of the Law, the German Civil Code as a Case in Point” and covered the creation process to develop the arc visualization. The audience was an interdiciplenary community of lawyers, information designer and experts for e.g. contracting.
October 31, 2012 | Comments (0) | Category: Conference
The challenge was to show the range of references between paragraphs of the Civil Code of Germany and to figure out the overall complexity. In the development of the arc visualization the paragraphs follow a logical order. A total number of 2385 paragraphs should be visualized through columns and every arc represents a reference to another paragraph.
August 03, 2012 | Comments (1) | Category: Visualization
The visualization of a Last.fm dataset is based on the comparison of two music artists and their related tags. Through the attracitve force the tags are moving to the artist with a higher value of association.