Buckeye1996's picture

Buckeye1996


Member since 08 February 2012 | Blog

Favorites

  • COLLEGE FOOTBALL PLAYER: Eddie George
  • COLLEGE BASKETBALL PLAYER: John Havlicek
  • MLB TEAM: Reds

Recent Activity

Comment 1 minute ago

Oh, I can live with it but he made a bad business decision. Sometimes you have to forego short term wants for long term gains.

A few hundred K is nothing considering what he gave up.

Comment 24 Apr 2016

And another hotspot using an overlaid fishnet (optimized for size by number) and then counts of recruits that fall within each grid cell. Not pretty but this is my go to method...ha.

Sorry about the screen capture. I have to go, and wanted to pop this up quickly.

Comment 24 Apr 2016

No Data for counties with no recruits. So the comparison is just for those with counts. Honestly, this is probably not the best approach but it is still OK.

I have a better method (and more defensible) but it shows virtually the same hotspots/coldspots.

Comment 24 Apr 2016

Working on my own 'analytics'... have all recruits from 2002 to 2010 refreshed and uploaded. Still working on getting it up to date to current year. I got off track and started to play around a bit. Here is a hotspot analysis for where recruits have come from throughout the US up to 2010. Quick and dirty map.

Edit: Forgot to add. Red is HOT and BLUE is cold meaning that if we consider all recruit up to this point, the hot spots are relatively higher and cold relatively lower.

Comment 15 Apr 2016

Ugh. I guess this is one of many reasons why I could never be a college FB coach. Tough, no, very tough decisions to be made that impacts other people's lives.

Being an optimist, though, it always seems to turn out for all involved.

Comment 11 Apr 2016

I like the map. Sure wish I could get the raw data.

I can't help myself....(edit: I can thank (or not..ha) Harold Moellering and his analytical cartography course at OSU for searing this stuff in my brain).

I think somebody messed up the color scheme on that map though. The dark red should be the highest percentage on down to the lowest  percentage which should be the lightest value and gray should be no data. That is how you use Hue as a visual variable. Even if you use mult-hue it should be dark (highest value) to light (lowest value).

That was an oopsie and it makes the map hard to interpret, I think.