# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-03-09/2305
# 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
2023-05-01, -91.111, -97.436, -92.857, -93.750
2023-05-02, -26.415, 12.500, -20.513, -14.516
2023-05-03, -27.660, -13.793, -42.857, -27.885
2023-05-04, 33.333, 8.000, 12.000, 20.779
2023-05-05, 24.138, 0.000, 60.000, 24.074
2023-05-06, NaN, NaN, NaN, NaN
2023-05-07, NaN, NaN, NaN, NaN
2023-05-08, 1025.000, 2700.000, 1550.000, 1414.286
2023-05-09, -23.077, 5.556, -41.935, -18.868
2023-05-10, 41.176, -4.000, -18.750, 13.333
2023-05-11, 27.778, -48.148, -82.143, -30.108
2023-05-12, -33.333, 46.667, 56.250, 5.970
2023-05-13, NaN, NaN, NaN, NaN
2023-05-14, NaN, NaN, NaN, NaN
2023-05-15, -22.222, -14.286, -21.212, -19.811
2023-05-16, -10.000, -39.474, -11.111, -23.256
2023-05-17, -58.333, -12.500, 23.077, -32.941
2023-05-18, -100.000, -100.000, -100.000, -100.000
2023-05-19, -8.333, -27.273, -48.000, -28.169
2023-05-20, NaN, Infinity, NaN, Infinity
2023-05-21, NaN, NaN, NaN, NaN
2023-05-22, -2.857, 58.333, -7.692, 14.118
2023-05-23, -7.407, -13.043, -6.250, -9.091
2023-05-24, -10.000, -33.333, -25.000, -22.807
2023-05-25, Infinity, Infinity, Infinity, Infinity
2023-05-26, -22.727, -25.000, -23.077, -23.529
2023-05-27, NaN, -100.000, NaN, -100.000
2023-05-28, NaN, NaN, NaN, NaN
2023-05-29, -100.000, -100.000, -100.000, -100.000
2023-05-30, -24.000, 0.000, 13.333, -3.333
2023-05-31, -16.667, -64.286, -16.667, -31.818
2023-06-01, 37.500, 50.000, 50.000, 45.000