My entry for the The Brian Lehrer Show
– Map Your Moves: Data Visualization Challenge. The data comes from a Census survey in which nearly 1700 people responded, which asked when, why, and where each person has moved over the last 10 years.
My entry for the The Brian Lehrer Show – Map Your Moves: Data Visualization Challenge. The data comes from a Census survey in which nearly 1700 people responded, which asked when, why, and where each person has moved over the last 10 years.
I chose to deal with all the data between 2000-2009, and explore these entries, apart from the zip codes. For the Trends chart, on the right, I’ve interpreted the explanations for the initial reason “Other” and moved to the more apropriate reason, such as: those who said they moved from rent to owners -> Can afford a better place, or divorce -> Roomate or Relationship problems. Also I added the “Love or Marriage” reason, because it was a common explanation.
Cluttered and indecipherable. It gave me a migraine.
the ones on the left should be easy… for everyone.
Not sure this graphic helps in understanding trends BUT it shows that you would make a GREAT game designer. In fact, your visualisation lends itself well to an NYC real estate/monopoly board game. Roll the dice and by the end of the game, see who gets to stay in the neighborhood where they started. Once upon a time, you would have wanted to move “up” (or out to the suburbs), but in this economy, if you can just stay in place, you’re actually going fwd…
Who vs. who didn’t would benefit from having the same color contrast in the captions below. Also, I think it would be good to convert the piled bars to a strictly 2D view without a drop shadow, as it doesn’t add much to the chart.
In how many places – it would be better if the houses were arranged in the same pattern (horizontal or vertical), otherwise it may lead to believe that orientation stands for another variable. Also, it reminds me of the QIX video game.
Oh, and also the house icon resembles to an arrow too much, it may be misleading with an intended direction.
Why – Size of the yellow spots isn’t clear to me, I guess it is popularity, but can’t say if I should watch linear (side) lengths or area (areas increease quadratically with a linear increase, and that could be confusing).
Colors work OK. I personally would pick the Why chart as a coffee table blanket.