# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-03-09/2302
# 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
2023-02-01, 9.123, 35.849, 27.586, 14.130
2023-02-02, -22.713, -29.688, -22.222, -23.741
2023-02-03, 0.000, 57.143, 6.452, 7.715
2023-02-04, -100.000, NaN, NaN, -100.000
2023-02-05, -92.308, NaN, NaN, -92.308
2023-02-06, 8.883, -1.163, -25.926, 3.745
2023-02-07, -18.121, -13.415, 26.316, -13.051
2023-02-08, 33.762, -11.111, -8.108, 22.381
2023-02-09, 7.755, 24.444, -14.286, 8.491
2023-02-10, 42.045, 16.667, 24.242, 35.813
2023-02-11, Infinity, Infinity, Infinity, Infinity
2023-02-12, 100.000, NaN, NaN, 100.000
2023-02-13, 40.326, 35.294, 62.500, 41.336
2023-02-14, -4.918, 14.085, -33.333, -6.288
2023-02-15, -5.048, 35.938, 88.235, 6.420
2023-02-16, 24.242, 14.286, 20.833, 22.319
2023-02-17, -16.000, -5.195, -48.780, -17.039
2023-02-18, -88.889, -33.333, -100.000, -78.571
2023-02-19, -50.000, Infinity, NaN, 100.000
2023-02-20, -15.449, -6.957, 3.077, -12.771
2023-02-21, 32.759, 38.272, 21.875, 32.684
2023-02-22, -2.025, -5.747, -32.813, -6.399
2023-02-23, 16.159, 35.938, 55.172, 21.564
2023-02-24, 17.460, 9.589, 57.143, 18.093
2023-02-25, 200.000, -100.000, Infinity, 100.000
2023-02-26, 0.000, -66.667, Infinity, -25.000
2023-02-27, 2.947, 24.299, 17.910, 7.906
2023-02-28, 16.234, -7.143, 28.205, 12.724
2023-03-01, 7.494, -8.537, 4.651, 4.883