TIMELESS POPULARITY

date Spring 2017
course Information Design Research Methods | Northeastern University
professor Dietmar Offenhuber

This poster represents a visual analysis of the pantheon dataset created by the Macro Connections group at the MIT Media Lab. This dataset includes information on over 11,000 of the most historical figures, based on their Wikipedia pages. For this project, I looked at what makes timeless popularity from the perspective of domains, industries, and occupations. The upper half of the poster considers the entire dataset by domain. The lower half of the poster takes a closer look at the first 25% of historical figures by birth year and compares them by industry, occupation, and the number of languages their Wikipedia page has been translated into.

The majority of the visuals represent the data as a jitter plot. This allowed for each figure to be individually represented, some of which are individually labeled. Each plot and chart was created in R. The full print is 34" x 22".

Click the images below to view close-ups of the poster. To view the poster at full size, click here.