Geo apps are an exasperating wonder where using other peoples elements can be either heaven or worse than hell. so you end up doomed to roll your own code for stuff that should be reusable code. Full disclosure- I am NOT your level of coder- I've just done my share of being another pair of eyes on code others were whacking at. Oren Beck 816.632.3695 On Sat, Dec 28, 2013 at 10:38 AM, Romy Ilano <romy(a)snowyla.com> wrote:

two objectives. 1) See if the response time between reports made and report closes varies geographically within the city. I don't know any objective C, but was thinking about massaging the data with python. That sounds quite doable. 2) looking at if reporting rates vary geographically in the City. As if I am asking, are there some neighborhoods characterized by squeaky wheels and others that hardly bother to report? Unfortunately I''m conceptually stuck at the issue, how do I distinguish between the case that says are less reports in a geography because there are less issues, and the theory that says a neighborhood gets more services because the people there are more astute or involved in raising their issues. Thanks for the interest. On Sat, Dec 28, 2013 at 11:10 AM, Mike Schachter <cubicgoats(a)gmail.com>wrote;wrote: -- Let's stay in touch. Greg

Thanks mike! It didn't occur to me to chat with the machine learning folks. That's a great idea! It's nice I think a lot of data can also be downloaded as a big Json or excel file so it doesn't have to be called on the rest API as well Sent from my iPhone