CALDAS — Department

27 municipios, ordered by: alphabetical (asc). Aggregate curve for the department.
Rate of change (avance n − avance n-1) per series:
Logistic fit per series: y(t) = L / (1 + e^(-k(t - t_mid))), t = minutes since 16:00
SeriesEquationLkt_mid (min)
Total votesy(t) = 531829.90181 / (1 + e^(-0.20717(t - 34.02842)))531829.901810.2071734.028420.99982
Cepeday(t) = 203654.19600 / (1 + e^(-0.20974(t - 34.04806)))203654.196000.2097434.048060.99980
Espriellay(t) = 306707.03928 / (1 + e^(-0.20532(t - 34.02043)))306707.039280.2053234.020430.99982
Blancosy(t) = 11467.83594 / (1 + e^(-0.20789(t - 34.22810)))11467.835940.2078934.228100.99985
Nulosy(t) = 8893.85363 / (1 + e^(-0.21285(t - 33.72240)))8893.853630.2128533.722400.99984
No marcadosy(t) = 1106.86732 / (1 + e^(-0.20651(t - 32.84608)))1106.867320.2065132.846080.99957
Validosy(t) = 521829.20786 / (1 + e^(-0.20709(t - 34.03619)))521829.207860.2070934.036190.99982
Mesas escrutadasy(t) = 2492.08943 / (1 + e^(-0.19681(t - 32.69008)))2492.089430.1968132.690080.99989
Full avance-by-avance data (67 points, 16:00 to 21:34):
AvanceTime% of final votesTotal votesCepedaEspriellaBlancosNulosNo marcadosValidosMesas escrutadas
016:000.0%00000000
116:090.0%16774815611608
216:140.4%2,1398091,239563322,10440
316:192.2%11,7034,1987,0212552032611,474128
416:2410.5%55,98519,75733,9851,15393915154,895384
516:2927.5%146,50955,41185,1543,0662,508370143,631845
616:3449.9%265,664102,326152,5665,5824,573617260,4741,392
716:3973.0%388,540148,849223,8478,3116,684849381,0071,919
816:4488.6%471,097180,369271,64410,1147,9641,006462,1272,255
916:4995.7%508,913194,965293,34910,9928,5321,075499,3062,405
1016:5498.2%522,536200,373301,01711,2748,7811,091512,6642,457
1116:5999.3%528,441202,160304,92911,3938,8571,102518,4822,479
1217:0499.6%529,970202,775305,79311,4258,8741,103519,9932,485
1317:0999.8%531,062203,213306,41511,4428,8871,105521,0702,489
1417:14100.0%531,910203,704306,73511,4698,8951,107521,9082,492
1517:19100.0%531,910203,704306,73511,4698,8951,107521,9082,492
1617:24100.0%531,910203,704306,73511,4698,8951,107521,9082,492
1717:29100.0%531,910203,704306,73511,4698,8951,107521,9082,492
1817:34100.0%531,910203,704306,73511,4698,8951,107521,9082,492
1917:39100.0%531,910203,704306,73511,4698,8951,107521,9082,492
2017:44100.0%531,910203,704306,73511,4698,8951,107521,9082,492
2117:49100.0%531,910203,704306,73511,4698,8951,107521,9082,492
2217:54100.0%531,910203,704306,73511,4698,8951,107521,9082,492
2317:59100.0%531,910203,704306,73511,4698,8951,107521,9082,492
2418:04100.0%531,910203,704306,73511,4698,8951,107521,9082,492
2518:09100.0%531,910203,704306,73511,4698,8951,107521,9082,492
2618:14100.0%531,910203,704306,73511,4698,8951,107521,9082,492
2718:19100.0%531,910203,704306,73511,4698,8951,107521,9082,492
2818:24100.0%531,910203,704306,73511,4698,8951,107521,9082,492
2918:29100.0%531,910203,704306,73511,4698,8951,107521,9082,492
3018:34100.0%531,910203,704306,73511,4698,8951,107521,9082,492
3118:39100.0%531,910203,704306,73511,4698,8951,107521,9082,492
3218:44100.0%531,910203,704306,73511,4698,8951,107521,9082,492
3318:49100.0%531,910203,704306,73511,4698,8951,107521,9082,492
3418:54100.0%531,910203,704306,73511,4698,8951,107521,9082,492
3518:59100.0%531,910203,704306,73511,4698,8951,107521,9082,492
3619:04100.0%531,910203,704306,73511,4698,8951,107521,9082,492
3719:09100.0%531,910203,704306,73511,4698,8951,107521,9082,492
3819:14100.0%531,910203,704306,73511,4698,8951,107521,9082,492
3919:19100.0%531,910203,704306,73511,4698,8951,107521,9082,492
4019:24100.0%531,910203,704306,73511,4698,8951,107521,9082,492
4119:29100.0%531,910203,704306,73511,4698,8951,107521,9082,492
4219:34100.0%531,910203,704306,73511,4698,8951,107521,9082,492
4319:39100.0%531,910203,704306,73511,4698,8951,107521,9082,492
4419:44100.0%531,910203,704306,73511,4698,8951,107521,9082,492
4519:49100.0%531,910203,704306,73511,4698,8951,107521,9082,492
4619:54100.0%531,910203,704306,73511,4698,8951,107521,9082,492
4719:59100.0%531,910203,704306,73511,4698,8951,107521,9082,492
4820:04100.0%531,910203,704306,73511,4698,8951,107521,9082,492
4920:09100.0%531,910203,704306,73511,4698,8951,107521,9082,492
5020:14100.0%531,910203,704306,73511,4698,8951,107521,9082,492
5120:19100.0%531,910203,704306,73511,4698,8951,107521,9082,492
5220:24100.0%531,910203,704306,73511,4698,8951,107521,9082,492
5320:29100.0%531,910203,704306,73511,4698,8951,107521,9082,492
5420:34100.0%531,910203,704306,73511,4698,8951,107521,9082,492
5520:39100.0%531,910203,704306,73511,4698,8951,107521,9082,492
5620:44100.0%531,910203,704306,73511,4698,8951,107521,9082,492
5720:49100.0%531,910203,704306,73511,4698,8951,107521,9082,492
5820:54100.0%531,910203,704306,73511,4698,8951,107521,9082,492
5920:59100.0%531,910203,704306,73511,4698,8951,107521,9082,492
6021:04100.0%531,910203,704306,73511,4698,8951,107521,9082,492
6121:09100.0%531,910203,704306,73511,4698,8951,107521,9082,492
6221:14100.0%531,910203,704306,73511,4698,8951,107521,9082,492
6321:19100.0%531,910203,704306,73511,4698,8951,107521,9082,492
6421:24100.0%531,910203,704306,73511,4698,8951,107521,9082,492
6521:29100.0%531,910203,704306,73511,4698,8951,107521,9082,492
6621:34100.0%531,910203,704306,73511,4698,8951,107521,9082,492
collected by @onorosaurosrex