Hi, Ich habe die Umfrage etwas ausgewertet.
https://bitbucket.org/ArneBab/evolve-keyboard- layout/raw/bca091c1f93c/empirie/2011-05-30-tastenkosten-umfrage.csv https://bitbucket.org/ArneBab/evolve-keyboard- layout/raw/bca091c1f93c/empirie/2011-05-30-tastenkosten-umfrage.txt Wichtigster Inhalt: 5 5 3 3 8 8 4 2 7 7 6 5 5 7 4 5 2 2 7 7 5 1 5 5 3 3 4 7.5 2 4 1 2 6 6 3 1 2 2 2 2 3 3 2 5 1 1 5 6 2 1 3 3 3 3 3 4 4 6 2 1 8 7 3 2 7 7 5 4 2 3 7 9 7 5 9 8 4 4 9 9 8 9 5 3.5 2 6 4 1 5 6 3 1 3 3 4 5 3 3 2 4 3 2 6 6 2 1 2 2 2 2 3 2 4 5 2 2 7 7 2 1 5 5 3 3 4 6 5 6 2 3 8 8 4 2 7 7 6 5 3 9 7 5 3 4 8.5 9 4 3 8 8 8 7 4 5 1 1 0 0 3 1 2 0 1 1 1 1 1 0.5 0 1 0 0 2 0 3 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 4 4 2 1 2 4 2 1 3 3 2 1 2 0.8 4 4 1 1 2 4 2 1 3 3 2 1 2 0.7 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 2 0 2 0 0 0 0 1 0 0.5 1 1 0 0 3 1 2 0 1 1 1 1 1 1.5 6 3 3 3 4 6 4 2 5 5 3 2 2 7 5 3 7 8 7 7 6 1 7 7 3 5 3 5 5 5 9 6 6 7 7 1 7 7 5 6 4 4.5 8 9 8 6 5 6 2 1 7 7 6 7 2 3.5 4 4 4 4 4 6 4 1 4 4 3 3 1 3.5 9 8 5 9 9 8 7 1 9 9 7 5 3 4 5 5 3 4 8 6 5 4 4 4 5 3 1 4 3 5 4 4 4 6 1 1 4 4 2 2 3 3 4 6 2 6 5 7 3 1 5 5 4 6 2 2.5 4 7 2 6 6 7 4 1 6 6 4 7 2 6 4 5 2 8 8 8 5 2 5 5 4 6 1 7 Daraus berechnet: (1) Normiert auf Neo 2 B = 4.5 (2) bzw. p = 3.5 (3) bzw. Mittelwert von beiden (4) Mittelwert mal 5 (z etwa 30). (1)array([[ 6.58928571, 5.21785714, 3.35892857, 3.65089286, 4.74642857, 8.3625 , 4.29910714, 3.42857143, 4.90446429, 6.06428571, 6.97366071, 1.125 , 0.3375 , 0.16875 , 0.06428571, 2.7375 , 2.62232143, 0.06428571, 0.10446429, 0.42053571, 1.20535714, 4.45714286, 6.24910714, 6.97232143, 6.34821429, 3.84375 , 7.39017857, 4.5 , 4.08214286, 4.73571429, 5.45357143, 5.25535714], (2) [ 6.125 , 4.76488095, 3.17261905, 3.41071429, 4.63095238, 7.9375 , 3.90178571, 3.16369048, 4.4702381 , 5.76785714, 6.70089286, 1.05654762, 0.375 , 0.1875 , 0.0625 , 2.53630952, 2.46666667, 0.0625 , 0.125 , 0.43154762, 1.12797619, 4.22916667, 5.44047619, 6.0297619 , 5.58333333, 3.5 , 6.68154762, 4.82738095, 3.61011905, 4.30357143, 4.94940476, 5.04166667]]) (3) scipy.mean(scipy.array(g), 0) array([ 6.35714286, 4.99136905, 3.26577381, 3.53080357, 4.68869048, 8.15 , 4.10044643, 3.29613095, 4.68735119, 5.91607143, 6.83727679, 1.09077381, 0.35625 , 0.178125 , 0.06339286, 2.63690476, 2.54449405, 0.06339286, 0.11473214, 0.42604167, 1.16666667, 4.34315476, 5.84479167, 6.50104167, 5.96577381, 3.671875 , 7.0358631 , 4.66369048, 3.84613095, 4.51964286, 5.2014881 , 5.1485119 ]) scipy.std(scipy.array(g), 0) array([ 4.02660283, 3.38466199, 2.56940764, 2.58851824, 1.89819739, 3.99284198, 2.60107318, 2.5542067 , 3.40353845, 2.45698654, 3.09640839, 1.01032361, 0.76373948, 0.47980854, 0.2285662 , 1.71020213, 1.75765079, 0.2285662 , 0.28283884, 0.62812253, 1.00533701, 1.63336416, 2.48836364, 3.27096439, 2.40516244, 0.57725079, 2.27528536, 1.37963363, 2.48118638, 1.81044265, 1.9497867 , 1.59964081]) Werte: 6 5 3 4 5 8 4 3 5 6 7 1 0 0 0 3 3 0 0 0 1 4 6 7 6 4 7 5 4 5 5 5 Abweichung: 4 3 3 3 2 4 3 3 3 2 3 1 1 0 0 2 2 0 0 1 1 2 2 3 2 1 2 1 2 2 2 2 (4) (das hier kann in den Optimierer) scipy.mean(scipy.array(g), 0)*5 array([ 31.78571429, 24.95684524, 16.32886905, 17.65401786, 23.44345238, 40.75 , 20.50223214, 16.48065476, 23.43675595, 29.58035714, 34.18638393, 5.45386905, 1.78125 , 0.890625 , 0.31696429, 13.18452381, 12.72247024, 0.31696429, 0.57366071, 2.13020833, 5.83333333, 21.71577381, 29.22395833, 32.50520833, 29.82886905, 18.359375 , 35.17931548, 23.31845238, 19.23065476, 22.59821429, 26.00744048, 25.74255952]) scipy.std(scipy.array(g), 0)*5 array([ 20.13301414, 16.92330995, 12.84703818, 12.94259122, 9.49098697, 19.9642099 , 13.00536592, 12.77103352, 17.01769223, 12.28493272, 15.48204197, 5.05161804, 3.81869739, 2.39904272, 1.14283098, 8.55101063, 8.78825397, 1.14283098, 1.41419419, 3.14061266, 5.02668505, 8.16682082, 12.44181819, 16.35482196, 12.02581221, 2.88625393, 11.3764268 , 6.89816816, 12.40593192, 9.05221323, 9.7489335 , 7.99820404]) Werte für den Optimierer - z.B. als Minimalkosten: 32 25 16 18 23 41 21 16 23 30 34 5 2 1 0 13 13 0 1 2 6 22 29 33 30 18 35 23 19 23 26 26 Standardabweichung (Bereich, in dem der Wert liegen sollte; Wert ± std): 20 17 13 13 9 20 13 13 17 12 15 5 3 2 1 9 9 1 1 3 5 8 12 16 12 3 11 7 12 9 10 8 Liebe Grüße, Arne -- Unpolitisch sein heißt politisch sein, ohne es zu merken. - Arne (http://draketo.de)
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