# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-03-09/2310
# 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
2023-10-01, NaN, NaN, NaN, NaN
2023-10-02, 40.541, 70.000, 86.667, 58.333
2023-10-03, -100.000, -100.000, -100.000, -100.000
2023-10-04, -21.311, 133.333, 106.667, 21.591
2023-10-05, -23.810, 116.667, 64.286, 0.000
2023-10-06, -5.405, -9.524, 50.000, 6.944
2023-10-07, NaN, NaN, NaN, NaN
2023-10-08, NaN, NaN, NaN, NaN
2023-10-09, -17.308, 0.000, 7.143, -5.263
2023-10-10, Infinity, Infinity, Infinity, Infinity
2023-10-11, 12.500, -7.143, 9.677, 6.542
2023-10-12, 0.000, -15.385, -4.348, -5.155
2023-10-13, 65.714, 26.316, 19.048, 38.961
2023-10-14, NaN, NaN, NaN, NaN
2023-10-15, Infinity, Infinity, NaN, Infinity
2023-10-16, 13.953, 14.706, 6.667, 11.111
2023-10-17, -30.909, 4.167, -35.484, -24.545
2023-10-18, -11.111, -19.231, -55.882, -26.316
2023-10-19, -6.250, -13.636, -18.182, -10.870
2023-10-20, -29.310, 4.167, 48.000, -3.738
2023-10-21, NaN, NaN, NaN, NaN
2023-10-22, -100.000, -100.000, NaN, -100.000
2023-10-23, 65.306, 33.333, 62.500, 57.500
2023-10-24, 55.263, 72.000, 190.000, 92.771
2023-10-25, 22.917, 128.571, 240.000, 88.095
2023-10-26, 68.889, 210.526, 155.556, 120.732
2023-10-27, 14.634, 68.000, 32.432, 35.922
2023-10-28, NaN, NaN, NaN, NaN
2023-10-29, Infinity, Infinity, Infinity, Infinity
2023-10-30, 20.988, 75.000, 96.154, 53.968
2023-10-31, 55.932, 55.814, 60.345, 57.500
2023-11-01, 22.034, -10.417, 7.843, 8.228