Visualizing social and environmental issues
Client: GOOD Magazine • 客户: GOOD 杂志
Collaborating with GOOD magazine, using data visualization as storytelling fosters awareness and better understanding of social and environmental issues: water problem, homeless profile, ever-expanding Wikipedia, advertising spending, and General Electric—the extent of this multinational conglomerate.
The task was to make complex data comprehensible, digestible, and most importantly, to tell a meaningful story through insightful visualization of the given data.
“Getting to Know the Homeless” data visualization

American homeless demographics by topic.

Close up of “Getting to Know the Homeless” data visualization
Close up of “Getting to Know the Homeless” data visualization
“Drink Up” data visualization on drinkable water problem

Various worldwide drinkable water problems shown in consecutive panels.

Close up of “Drink Up” data visualization
Close up of “Drink Up” data visualization
Close up of “Drink Up” data visualization
“The Expanding Universe of Wikipedia” data visualization

The ever-expanding Wikipedia. The bar chart—in units of double page spreads—provided data on the number of users, articles, contributors, and available languages of Wikipedia. The printed yellow and blue dots on the spread represented a quarter of million stars. Readers could lay out the needed spreads (as indicated by the bar chart) to get a physical sense of immense numbers such as 6.8 million users per day (data from 2007), to create an illusion of a galaxy of stars.

Close up of “The Expanding Universe of Wikipedia” data visualization
“General Electricville” data visualization

The immensity of General Electric expressed as a city housing the numerous GE segments

Close up of “General Electricville” data visualization
“Buying a Brand” data visualization

The percentage of advertisement spending from seven global corporations of different industries, each presented in a bar chart, which together formed a bar code.

Close up of “Buying a Brand” datat visualization
Fictional data  •  虚构的数据
Client 客户​​​​​​​: Actar Publishers
The Barcelona based publisher, Actar, invited several designers and artists to illustrate their perception of the city Barcelona. The results were published in the book, Barcelona
Our impression of the city was told through means of fictional and humorous data visualization.
“Comb-time” data visualization

Combing time was used to illustrate our observation on the care Barcelonians put into their physical appearance.

“The Gnereal versus The White Gorilla” data visualization

An arbitrary comparison of Franco and the much beloved late Barcelonian albino gorilla.

“Lunch Break” data visualization

Barcelona surpasses the other cities in quality of lunch break.

“Coffee Strength” data visualization

The farther south one goes, the stronger the coffee gets.

“Percentage of hair on old ladies” data visualization

An observation that balding is not uncommon among aging Barcelonian females.

Various data visualizations  •  各种不同数据可视化
Clients 客户: BOOM Publishers, Sluyterman van Loo Fund, Marja Van de Vathorst-Smit​​​​​​​
Automobilist’s field of vision, data visualization
Close up of automobilist’s field of vision data visualization

Automobilist’s field of vision at different speed; illustration for Graphic Design on Paper, Screen and Products​​​​​​​.

DPI, LPI, PPI data visualization
Close up of DPI, LIP, PPI data visualization

Visual explanation of measurement units of DPI, LPI, PPI.

Journey of  a product, data visualization

Journey of a product (e.g. a bottle).

Return on invested capitals, data visualization

Annual report chart for return on invested capitals, Sluyterman van Loo Fund.

Genealogical chart with book

An accordion leaflet that outlined 359 years (1651–2010) of genealogical data spanning over 14 generations employing two different numbering systems: Ahnentafel Numbering System (pedigree chart) for the ancestors of four brothers, and Henry System for their descendants. 

Key to genealogical chart
Close up of genealogical pedigree chart
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