Harnessing Existing Data to Draw Meaningful Correlations
A the Goldman Sachs Technology and Internet Conference in February, 2012, Apple's CEO Tim Cook led a keynote presentation in which he stated the following: "We believe that education is the great equalizer, and that if people are provided with the skills and knowledge, they can improve their lives."
Today, there are nearly 150 countries that are still considered to be 'developing'
or 'under-developed'. Inspired by Tim's words, I developed a set of interactive visualizations that explore to what degree increased educational opportunities for women result in later childbearing, fewer children, and longer life expectancies for family members.
Click here to explore the visualization (or to check out the code behind it).
Early interface iterations
Digital interface mockups, revisions
This project allows users to visually explore global trends in population growth, lifespan, maternity, and education, and, from this data, draw meaningful correlations between eighteen countries from around the world. The data visualization was developed using Mike Bostock's powerful visualization library D3.
Early animated visualization, web typography with baseline grid
The datasets used in this project were provided by the United Nations Department of Economic and Social Affairs, as well as by the UNESCO Institute for Statistics Data Centre. One bi-product of this project is my XLSReader class, a wrapper class for the popular xlrd Python module; using this class in my Python scripts made it feasable to iteratively refine a single dataset from a collection of very large datasets stored in an Excel format.
Final prototype screenshots
For a deeper understanding of these issues, and of the project's development, check out the process book!