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I’ve seen this airline/airport/route database. Mentioned several times lately, thought I’d give visualization a shot. I took the routes.dat file and filtered by route data that had both source/destination airport ID’s available, and did a lookup on the airports.dat file to get start/stop coordinates of each route. There are just under 63,000 routes that result from this step. So the final product is a map of flyovers, where each pixel value is the logarithm of the number of route crossings above it.

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GMIXER | gmixer.wordpress.com Reviews

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I’ve seen this airline/airport/route database. Mentioned several times lately, thought I’d give visualization a shot. I took the routes.dat file and filtered by route data that had both source/destination airport ID’s available, and did a lookup on the airports.dat file to get start/stop coordinates of each route. There are just under 63,000 routes that result from this step. So the final product is a map of flyovers, where each pixel value is the logarithm of the number of route crossings above it.

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6 by gmixer

7 the process

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10 quarterbacks

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gmixer,menu,skip to content,flight routes,leave a reply,by gmixer,the process,pick a player,get it,quarterbacks,wide receivers,running backs,tight ends,search for,recent posts,recent comments,archives,categories,data visualization,fantasy football,meta

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GMIXER | gmixer.wordpress.com Reviews

https://gmixer.wordpress.com

I’ve seen this airline/airport/route database. Mentioned several times lately, thought I’d give visualization a shot. I took the routes.dat file and filtered by route data that had both source/destination airport ID’s available, and did a lookup on the airports.dat file to get start/stop coordinates of each route. There are just under 63,000 routes that result from this step. So the final product is a map of flyovers, where each pixel value is the logarithm of the number of route crossings above it.

INTERNAL PAGES

gmixer.wordpress.com

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RB_Giovani Bernard | GMIXER

https://gmixer.wordpress.com/2013/10/30/bayesian-player-type-estimation/rb_giovani-bernard

October 29, 2013. At 1200 × 900. In Bayesian Player Type Estimation. Giovani Bernard started slow, improved for a while, and seems to be settling into his Middle-range status. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out.

2

Flight Routes | GMIXER

https://gmixer.wordpress.com/2013/11/04/flight-routes

I’ve seen this airline/airport/route database. Mentioned several times lately, thought I’d give visualization a shot. I took the routes.dat file and filtered by route data that had both source/destination airport ID’s available, and did a lookup on the airports.dat file to get start/stop coordinates of each route. There are just under 63,000 routes that result from this step. So the final product is a map of flyovers, where each pixel value is the logarithm of the number of route crossings above it.

3

WR_Victor Cruz | GMIXER

https://gmixer.wordpress.com/2013/10/30/bayesian-player-type-estimation/wr_victor-cruz

October 29, 2013. At 1200 × 900. In Bayesian Player Type Estimation. Victor Cruz: Underperforming lately, but definitely not a weak player. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. Notify me of new comments via email.

4

WR_Dez Bryant | GMIXER

https://gmixer.wordpress.com/2013/10/30/bayesian-player-type-estimation/wr_dez-bryant

October 29, 2013. At 1200 × 900. In Bayesian Player Type Estimation. Dez Bryant: Another guy who has proven his elite status after about Week 3. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. Notify me of new comments via email.

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Bayesian Player Type Estimation | GMIXER

https://gmixer.wordpress.com/2013/10/30/bayesian-player-type-estimation

Bayesian Player Type Estimation. Note: This is a bit different than the type of analysis that goes on over at Bayesian FF ( www.bayesff.com. I have some notes at the bottom about how it’s different, but you can read about their approach at http:/ www.bayesff.com/bayesian101/. Imagine that there are three types of players: Weak, Middle, and Elite. First, we have to get an idea of of how players in each category perform from week to week. We’ll define each category like this:. Bayesian Estimation is a proc...

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I’ve seen this airline/airport/route database. Mentioned several times lately, thought I’d give visualization a shot. I took the routes.dat file and filtered by route data that had both source/destination airport ID’s available, and did a lookup on the airports.dat file to get start/stop coordinates of each route. There are just under 63,000 routes that result from this step. So the final product is a map of flyovers, where each pixel value is the logarithm of the number of route crossings above it.

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