# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Bremen
#
# Version  : 2025-03-09/2211
# Autor    : Dietmar Lippold
# Projekt  : https://covid19-de-stats.sourceforge.io/
# Lizenz   : dl-de/by-2-0, https://www.govdata.de/dl-de/by-2-0
# Grundlage: Daten vom Robert Koch-Institut (RKI), dl-de/by-2-0
#
# Datum, Alter bis 59, Alter 60 bis 79, Alter ab 80, Gesamt
2022-11-01, -4.992, 3.226, 35.556, -1.147
2022-11-02, 51.200, -13.376, -10.959, 26.942
2022-11-03, 26.608, -11.009, -46.154, 12.449
2022-11-04, -40.807, -54.545, -63.636, -45.963
2022-11-05, 62.500, 90.000, 0.000, 66.667
2022-11-06, -100.000, NaN, -100.000, -100.000
2022-11-07, 987.234, 1007.692, 1000.000, 992.188
2022-11-08, -41.708, -56.771, -44.262, -45.244
2022-11-09, -29.982, -27.941, -35.385, -30.078
2022-11-10, -46.651, -53.608, -14.286, -46.642
2022-11-11, 28.788, 66.667, 8.333, 33.908
2022-11-12, -33.333, -84.211, -50.000, -50.000
2022-11-13, NaN, NaN, NaN, NaN
2022-11-14, -33.855, -36.111, -6.818, -32.618
2022-11-15, -9.014, 1.205, -55.882, -10.593
2022-11-16, -41.058, -34.694, -38.095, -39.665
2022-11-17, -9.091, 33.333, 5.556, -1.701
2022-11-18, -2.941, -18.000, 0.000, -6.009
2022-11-19, -15.385, 266.667, 100.000, 16.667
2022-11-20, Infinity, NaN, NaN, Infinity
2022-11-21, -0.592, -17.391, 4.878, -3.397
2022-11-22, 12.693, -11.905, 86.667, 10.427
2022-11-23, 29.487, 3.125, 157.692, 34.568
2022-11-24, -16.190, -41.667, 42.105, -17.647
2022-11-25, 12.727, 4.878, 176.923, 21.005
2022-11-26, 127.273, 45.455, 100.000, 100.000
2022-11-27, 50.000, Infinity, Infinity, 450.000
2022-11-28, 21.726, 34.211, 81.395, 29.451
2022-11-29, 6.044, 27.027, 121.429, 16.309
2022-11-30, 15.182, 12.121, -47.761, 5.046
2022-12-01, 51.705, 71.429, 33.333, 52.521