We'd like to identify metropolitan areas experiencing higher than average growth. This is often a sign of favorable financial circumstances and purchasing behavior. These economic growth signals could help us discover new pockets of potential clients.
Using the U.S. Census data below, write a script in Java, Python, C/C++, or Javascript that calculates the following metrics:
1) Top five cities to target based on highest population growth (% change) between 2010-2012. (50,000 population minimum)
2) Top five cities to avoid based on the most shrinking population (% change) between 2010-2012. (50,000 population minimum)
3) Top five states with highest cumulative growth (% change combined across all metropolitan areas) between 2010-2012.
Winner receives
$10 Rewards will be handled by NetApp |
Winners have been published for this challenge. |