# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Berlin
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# 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
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# Datum, Alter bis 59, Alter 60 bis 79, Alter ab 80, Gesamt
2022-11-01, -31.574, -37.809, -20.805, -32.239
2022-11-02, -40.147, -33.038, -15.000, -37.510
2022-11-03, -35.680, -40.849, -53.741, -38.043
2022-11-04, -28.299, -20.225, -18.182, -26.201
2022-11-05, -10.448, -71.429, 0.000, -24.719
2022-11-06, 58.333, Infinity, -100.000, 76.923
2022-11-07, -25.877, -26.166, -25.309, -25.858
2022-11-08, -18.913, -30.398, -37.288, -22.081
2022-11-09, -4.565, -32.781, -37.815, -12.620
2022-11-10, -14.105, -18.386, -25.000, -15.471
2022-11-11, -21.875, -24.883, -19.444, -22.483
2022-11-12, -53.333, 0.000, -100.000, -49.254
2022-11-13, -63.158, -75.000, NaN, -65.217
2022-11-14, -15.390, -31.593, 0.826, -17.363
2022-11-15, -12.572, -16.735, 16.216, -11.846
2022-11-16, -37.626, -19.212, -31.081, -34.531
2022-11-17, -6.495, -15.385, 45.098, -5.529
2022-11-18, 21.037, -5.000, 5.172, 15.566
2022-11-19, -17.857, -83.333, Infinity, -26.471
2022-11-20, -57.143, 100.000, Infinity, -25.000
2022-11-21, -0.472, -4.819, -18.852, -2.558
2022-11-22, -15.043, -13.235, -13.953, -14.699
2022-11-23, 40.413, 13.415, 27.451, 34.714
2022-11-24, 20.446, 13.636, -5.405, 17.457
2022-11-25, 2.570, 16.447, -22.951, 2.907
2022-11-26, -17.391, -100.000, 0.000, -20.000
2022-11-27, -33.333, -100.000, -100.000, -66.667
2022-11-28, 42.326, 45.570, 85.859, 45.500
2022-11-29, 67.483, 64.407, 59.459, 66.580
2022-11-30, 33.298, 38.710, 60.000, 35.578
2022-12-01, 25.571, 22.857, 25.714, 25.344