Diversity in Tech

http://www.informationisbeautiful.net/visualizations/diversity-in-tech-static/

The visualization is appealing and gives the percentage of people working in tech according to gender and their ethnicity. But does it really realize its purpose of visualization?

Every good visualization should have the following:

  1. Clarity: the ability to quickly understand what data the visual is displaying, and how it is displaying it.
  2. Connectivity: The ability to connect different parameters of the data and get useful insight
  3. Concentration: Whether your visualization focuses on solving the underlying problem statement (Prescriptive analysis) or it focuses on describes the current problem (Descriptive analysis)

It is difficult to understand the visualization because it displays the data in percentages and not numbers. Moreover, it gives an overview about the gender and ethnicity across different domain.  If I wanted to redesign this, I would have different visualizations for tech, social, top 50 US companies, most female company and last one for overall. By comparing data across each of the domain, I would have more clarity, connectivity and concentration to the relevance of the data.