Feb. 13 assignment

Over 10,000 athletes from 208 countries competed in 44 different sports at the London Olympics.

In my storyboard, I decided to categorize athletes by age to see if there was a pattern.

Did age affect the way athletes performed or who decided to compete? 

Well, there was only one athlete in his seventies. At age 71, Hiroshi Hoketsu represented Japan in equestrian and was the oldest Olympian.

Perhaps, there’s a correlation. Bare with me. I understand that this seems obvious. The older you are, the worse your body performs. (Duh.)

In the 2012 London Olympics, there were only 31 individuals in the age category of Olympians 50 and above whereas in the 20-age group, there were 481 individuals.

As you can see, a chart would show that there is indeed a correlation between age and performance.

But what if we looked at a 13-year-old and a 18-year-old Olympian in the same sports category. Would experience and maturity in a sport cause better performance say in swimming?

This question would be answered in my data visualization.

We consume information every day.

Oftentimes we take for granted people who sift through information so that the public can be informed and/or entertained.

Sometimes, data visualization tells a story more clearly than print.

So here are some data visualizations that caught my eye:

Peoplemovein

‘Peoplemovein  is a visualization of migration around the world.

Both sides list a set of countries. Lines flow from one country depicting lines that increase in width as more people migrate from one country to their designated destination.

Bloomberg’s Billionaires

Bloomberg listed  the richest people in the world with a caricature of their face and their net worth. A set of factors filter people by their industry, nationality, gender, age, and source of wealth.