TMOY
Veteran
It's also worth to notice that Asia is much larger than Europe. From Paris I only have to travel a couple of hours by train to reach most of the comps I'm attending. Things may not be that easy for someone living in Asia.
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Sounds good.How about such a ranking but you don't take each country's best person's rank but only consider countries? For example for 2x2x2 single, Italy would score 1, Netherlands 2, USA 3 and so on (ignoring that Italy has the top three persons).
id rsum 222 333 333bf 333fm 333ft 333mbf 333oh 444 444bf 555 555bf 666 777 clock magic minx mmagic pyram sq1
USA 117 2 9 12 4 13 12 8 7 8 3 5 1 3 6 5 6 1 7 5
Hungary 120 16 14 1 2 9 3 13 9 1 11 1 6 4 8 7 2 3 1 9
Poland 125 5 2 3 10 15 1 1 20 12 5 9 3 2 10 7 7 7 4 2
China 144 14 15 2 8 11 8 9 5 14 14 8 4 1 1 1 10 2 16 1
Japan 165 17 5 21 1 6 18 3 4 18 1 17 5 5 4 11 13 11 2 3
Germany 181 6 5 17 4 17 6 11 2 10 12 6 9 13 11 7 15 4 11 15
Indonesia 213 15 5 6 12 1 7 12 12 13 17 4 26 16 9 5 21 8 3 21
United Kingdom 215 10 10 15 10 20 5 24 16 2 7 2 10 10 4 22 19 15 10 4
Netherlands 217 2 4 23 4 8 20 6 1 20 9 20 11 12 7 15 17 22 9 7
Thailand 233 8 3 11 22 5 16 7 8 31 4 22 12 9 13 11 10 16 8 17
Australia 252 9 1 5 27 46 2 4 3 3 2 7 2 8 22 21 14 39 15 22
Sweden 276 17 18 19 12 16 11 21 11 15 15 15 20 17 19 2 1 26 11 10
Italy 277 1 13 8 20 23 10 25 6 5 10 16 15 18 23 11 5 18 23 27
France 284 11 12 16 4 22 13 17 20 16 18 14 24 29 3 18 25 5 6 11
Canada 297 7 11 20 17 12 14 15 19 26 6 22 14 6 17 24 12 9 26 20
Russia 333 12 20 25 12 25 17 5 30 11 28 13 27 22 20 2 29 5 17 13
Malaysia 369 26 24 10 22 32 4 28 15 4 20 11 28 20 39 24 3 32 21 6
Spain 373 4 16 7 17 34 24 27 14 23 26 22 16 21 2 18 31 19 24 28
Denmark 383 21 37 31 12 2 25 10 34 17 30 12 25 26 24 15 4 27 5 26
Taiwan 383 20 8 14 25 19 34 14 18 24 13 19 7 11 14 31 28 30 36 18
Brazil 392 25 18 22 22 7 15 2 17 19 22 22 32 19 12 31 26 37 28 16
Korea 392 22 21 29 37 4 30 15 13 31 8 22 8 7 36 18 24 20 33 14
Austria 421 37 27 24 25 45 9 18 24 9 29 10 19 15 35 28 8 14 20 25
Philippines 441 29 25 27 42 14 38 22 10 21 16 22 29 24 18 17 16 33 19 19
Finland 448 37 23 9 8 3 26 23 29 6 35 3 18 28 37 29 36 34 35 29
id rsum 222 333 333ft 333oh 444 555 666 777 clock magic minx mmagic pyram sq1
USA 86 2 4 14 5 5 3 1 5 11 7 13 1 10 5
China 87 9 13 12 7 10 6 5 1 2 1 5 2 13 1
Japan 92 13 3 7 3 7 2 4 4 6 12 14 8 2 7
Poland 108 4 8 19 1 21 5 3 2 8 3 12 10 9 3
Thailand 109 6 6 5 4 6 4 8 7 10 6 6 11 21 9
Hungary 110 5 14 10 17 9 10 7 3 12 3 2 3 5 10
Germany 133 8 2 17 10 1 14 18 12 9 2 11 3 3 23
Indonesia 158 17 15 2 10 8 15 25 15 1 7 19 5 4 15
Netherlands 158 3 5 8 13 2 8 14 10 4 18 15 27 15 16
Canada 160 7 11 9 14 11 9 10 6 21 13 4 19 22 4
United Kingdom 175 10 9 16 18 14 7 9 16 5 20 21 16 12 2
Australia 187 1 1 37 2 3 1 2 8 24 17 17 37 20 17
Sweden 197 14 22 15 20 18 13 13 14 18 3 1 20 15 11
Korea 211 16 25 1 12 15 12 6 9 31 14 24 23 17 6
France 224 18 10 24 15 19 20 21 26 7 18 25 6 7 8
Italy 249 24 7 25 28 4 16 16 19 23 11 8 17 24 27
Russia 259 23 12 23 9 23 25 26 22 15 10 29 14 6 22
Taiwan 265 21 24 18 6 13 11 11 11 14 30 32 30 31 13
Brazil 279 11 16 6 16 20 19 31 23 17 31 27 34 14 14
Philippines 288 30 17 11 19 12 23 30 29 13 21 16 38 8 21
Spain 303 12 18 34 22 24 29 20 20 3 14 33 22 27 25
Austria 310 29 20 37 31 22 32 15 13 34 27 9 12 11 18
Malaysia 314 19 21 30 21 17 18 27 18 37 27 10 31 26 12
Denmark 327 22 41 3 24 37 36 29 25 28 14 3 25 1 39
Hong Kong 328 28 30 33 32 26 17 12 17 40 7 22 7 38 19
ranks:{1+sum each x</:x}
t:update countryId:((1!select id, countryId from persons where subid=1)@/:personId)`countryId from ranksSingle
w:{?[y,'([]x:(count y)#x);((=;`countryId;`x);(=;`countryRank;1));0b;(`eventId`worldRank!`eventId`worldRank)]}[;t]
w2:(select worldRank:1+count(i) by eventId from ranksSingle) &/: 1!/:(w each exec id from countries)
eventRanks:flip ranks each flip {x2:flip 0!x;(x2`eventId)!x2`worldRank} each w2
rSums:flip (enlist `rsum)!enlist sum each eventRanks
countrySums2:`rsum xasc (select id from countries) ,' rSums ,' eventRanks
It's also worth to notice that Asia is much larger than Europe. From Paris I only have to travel a couple of hours by train to reach most of the comps I'm attending. Things may not be that easy for someone living in Asia.
Well, not's like the competitions are spread fairly evenly across the continent like in the case of Europe:
http://worldcubeassociation.org/res...d=®ionId=_Asia&years=current&pattern=&map=Map
continent comps events ratio
_Asia 61 538 8.819672
_Europe 58 777 13.39655
_North America 35 329 9.4
_Oceania 3 20 6.666667
_South America 16 173 10.8125
query:
nEvents:{count" "vs string x}
t:update continent:((1!select id, continentId from countries)@/:countryId)`continentId from competitions
w:update ratio:events%comps from select comps:count(i), events:sum nEvents each eventSpecs by continent from t where year=2012, month<8
f 5481
c 1896
1f 1781
12f 954
df 636
d2f 95
01f 36
0f 23
012f 7
123f 5
1b2f 4
1bf 4
0c 2
def 2
h1f 2
Note:
f = final
c = combined final
1, 2, 3 = first round, second round, third round
d, e = combined first round, combined second round
0 = qualification
h = combined qualification
b = b final
query:
`c xdesc select c:count(i) by r from
0!select r:distinct raze string roundId by competitionId, eventId from results
About the rare events:
- first -> b final -> second -> final used in Caltech Spring 2006, Cornell 2007, Japan 2006, and US Open 2007 for 3x3x3
- first -> b final -> final used in Belgian Open 2006, Chalmers Open 2006, Finnish Open 2007, and Vastervik 2008 for 3x3x3
- quals -> co. final used in Asian Championships 2010 for 6x6x6 and 7x7x7
- co. first -> co. second -> co. final used in Alania Open 2001 for 4xx4 and Magic Open 2011 for OH
- co. quals -> first -> final used in Hungarian Open 2009 for 4x4x4 and 5x5x5
stats n stuff
What is the difference between a final and a combined final anyway? :/
best x
13.93 19
13.21 18
17.15 18
15.84 17
16.21 17
17.09 17
17.16 17
18.31 17
18.38 17
18.4 17
20.34 17
24 17
13.28 16
13.5 16
14.22 16
15.02 16
15.15 16
19.34 16
21.06 16
25.05 16
query:
`x xdesc select count(i) by best%100 from ranksSingle where eventId=`333
solve x
14.72 435
16.18 421
16.11 418
15.8 415
15.15 412
16.43 410
15.34 409
15.59 409
15.06 408
15.55 406
14.71 405
14.68 403
15.83 403
14.78 400
15.18 398
15.44 398
16.78 398
15.4 397
16.71 396
13.91 395
15.84 395
16.34 395
14.84 394
15.31 393
query:
`x xdesc select count(i) by solve from
(ungroup select solve:filterEach[0<;value1,'value2,'value3,'value4,'value5]%\:100 from results where eventId=`333)
personId event solves
2009SPAR01 444 8:15.00 5:35.00
2003BURT01 333bf 4:08.00 DNF 3:27.00
2009RAOS01 222 21.00 1:04.00
2010ZHAO15 333 1:20.00 DNF 1:39.00 1:21.00 2:57.00
2010GARC05 clock 33.00 30.00
2010YIDA01 444 2:14.00 2:05.00
2009MURA02 444 3:34.00 2:45.00 3:29.00 3:20.00 3:00.00
2009MURA02 333oh 1:51.00 1:04.00
2011BALA01 333oh 3:59.00 2:45.00
2009SIUN01 333bf 1:23.00 DNF 2:03.00
2010RUIZ03 444 2:00.00 1:54.00 1:42.00
2011KART01 pyram 10.00 13.00
2012GITH01 333bf 3:20.00 3:57.00 DNF
2012RAHM01 333ft DNF 3:33.00 2:44.00
2012BALA01 333 1:46.00 1:29.00 1:15.00 1:17.00 1:44.00
2012MAHE01 333 1:58.00 1:57.00 2:00.00 1:35.00 1:37.00
2012VFIV01 333 1:53.00 2:08.00 1:55.00 2:02.00 1:56.00
2012MARA01 333 2:35.00 2:01.00 DNF 1:46.00 2:09.00
2012RAVI01 333 2:34.00 DNF 3:12.00 2:23.00 2:29.00
2012JOHN01 333 4:03.00 1:46.00 2:17.00 3:07.00 5:01.00
2012DIVA01 333 2:12.00 4:17.00 DNF 6:09.00 3:30.00
2010MAYE01 444 1:34.00 1:39.00
2011BRAV02 333 1:32.00 1:58.00 2:13.00 2:08.00 1:28.00