# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-03-09/2311
# 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
2023-11-01, 22.034, -10.417, 7.843, 8.228
2023-11-02, -26.316, -28.814, 45.652, -8.840
2023-11-03, 55.319, 14.286, -4.082, 20.000
2023-11-04, NaN, NaN, NaN, NaN
2023-11-05, -100.000, -100.000, -100.000, -100.000
2023-11-06, -22.449, 6.593, -29.412, -14.089
2023-11-07, -32.609, 7.463, -13.978, -15.079
2023-11-08, 111.111, 86.047, 30.909, 77.778
2023-11-09, 26.786, 38.095, -5.970, 19.394
2023-11-10, -6.849, -14.583, -2.128, -7.738
2023-11-11, Infinity, Infinity, Infinity, Infinity
2023-11-12, NaN, NaN, NaN, NaN
2023-11-13, 43.421, 5.155, 73.611, 35.600
2023-11-14, 38.710, 12.500, -12.500, 12.617
2023-11-15, -23.026, -32.500, -41.667, -29.934
2023-11-16, 21.127, 25.862, 19.048, 18.782
2023-11-17, 14.706, 12.195, 6.522, 11.613
2023-11-18, -100.000, -100.000, -100.000, -100.000
2023-11-19, NaN, NaN, NaN, NaN
2023-11-20, 12.844, 7.843, 1.600, 6.785
2023-11-21, 41.860, 20.988, 62.857, 40.664
2023-11-22, 19.658, 38.889, 76.190, 36.150
2023-11-23, 2.326, -34.247, -33.333, -20.513
2023-11-24, 16.667, 28.261, 46.939, 28.324
2023-11-25, NaN, NaN, NaN, NaN
2023-11-26, NaN, NaN, NaN, NaN
2023-11-27, 4.065, 2.727, -22.835, -6.354
2023-11-28, 6.557, -16.327, -29.825, -13.864
2023-11-29, 7.143, 4.000, -16.216, 0.000
2023-11-30, 37.500, 50.000, 26.000, 37.634
2023-12-01, 13.187, -35.593, -41.667, -17.117