Data Visualization – UN Global Pulse Mobile Survey

Data visualization
Not long ago I designed a visualization using data from the UN Global Pulse Mobile Survey. This visualization represents the Impact of the global economic crisis in 5 countries and its population Sentiment and Forecast.Although we were dealing with different data types, the objective was to clearly represent –at a first glance– the sentiment and forecast for each country based on 5 questions related to:

  • Country Economy
  • Household Needs
  • The Challenges
  • Quality of Life
  • The Future

Two types of linear gauges were used to represent the data.
For question 1 and 2 the gauges were divided in 4 sections based on predefined answers.

For questions 3, 4 and 5 the gauges illustrate a positive/negative sentiment based on the answers . Due to the variety in the answers, a common denominator was found in the sentiment, rather than in specific answers.

In addition, each question uses a tag cloud (weighted list) where we can clearly identify the most popular sentiment in each of the countries involved in the survey.


View the complete visualization here.

Data Visualization: Conveying Information through Visual Representations.

Alex Aranda, Professional development at Harvard University

A professional development experience at Harvard
By Alex Aranda, Principal Consultant, Innovo Ideas Interactive.

Aware that our field evolves in the blink of an eye, I have made the personal commitment to frequently seek for professional development opportunities. This summer, I went to Harvard University to participate in a seminar on Data Visualization.
The location was the CGIS-south building at Harvard University; just a few steps away from Harvard yard and Harvard square, this beautiful building offered convenient, state of the art facilities -a perfect setting for this seminar-.

Imparted by distinguished Professor Hanspeter Pfister, the seminar on Data Visualization was a great opportunity to explore different visual representation methods and techniques, hear the latest on research and new ideas on how to increase the understanding of complex data.

The lectures, team activities and hands-on exercises were an excellent way to dive into the subject. The experience got even richer by sharing ideas with participants; some of them representing global innovators such as Google and HP, not to mention scholars from renowned institutions such as NYU.

The seminar was a fantastic experience that reinforced a clear goal: we need to create simple, creative and user-friendly visual representations of data to improve comprehension, communication, and decision making in a world overloaded with complex information.