Problem: Determine the best use of public funds, when revenue is shrinking?
Solution: Analyze zip code data to determine three things: 1) where participants are coming from, 2) how many are coming from a specific spot, and 3) the distance traveled.
What I would like is a nice list of all of credible sources on the Internet for finding data to use with R projects. I know that this is a crazy idea, not well formulated (what are data after all) and loaded with absurd computational and theoretical challenges. (Why can't I just google "data R" and get what I want?) So, what can I do? As many people are also out there doing, I can begin to make lists (in many cases lists of lists) on a platform that is stable enough to survive and grow, and perhaps encourage others to help with the effort.
The R programming language was designed for doing statistics. In my view, its great popularity among statisticians, people learning statistics, data miners and others is due to the way it facilities the process of thinking about statistics. R’s syntax greatly aids in expressing statistical models. Often, it is intuitive shorthand for the mathematics.
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