# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-03-09/2212
# 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
2022-12-01, 25.571, 22.857, 25.714, 25.344
2022-12-02, 36.396, 22.599, 146.809, 39.077
2022-12-03, -5.263, NaN, -100.000, -10.000
2022-12-04, 200.000, NaN, NaN, 200.000
2022-12-05, 0.222, -0.290, -2.174, -0.043
2022-12-06, -1.130, 9.622, 19.492, 1.881
2022-12-07, 7.171, 3.488, 41.346, 8.829
2022-12-08, -2.253, 13.953, 30.682, 2.056
2022-12-09, 2.100, 19.355, 9.483, 5.146
2022-12-10, 5.556, Infinity, Infinity, 72.222
2022-12-11, -83.333, NaN, NaN, -83.333
2022-12-12, 7.377, 34.593, 13.889, 11.947
2022-12-13, 15.736, 22.884, 26.950, 17.538
2022-12-14, 24.632, 51.311, 34.014, 29.408
2022-12-15, 35.993, 31.837, 0.000, 32.572
2022-12-16, -3.856, 16.216, 18.898, 1.481
2022-12-17, -21.053, -33.333, 0.000, -19.355
2022-12-18, 0.000, Infinity, NaN, 200.000
2022-12-19, -11.157, 2.376, 8.293, -7.217
2022-12-20, 8.600, 30.357, 27.933, 13.874
2022-12-21, -20.413, -11.386, -22.335, -18.981
2022-12-22, -18.057, -3.715, 40.870, -12.361
2022-12-23, -4.278, -5.980, 9.272, -3.236
2022-12-24, -93.333, -75.000, -100.000, -92.000
2022-12-25, 0.000, -100.000, NaN, -66.667
2022-12-26, -100.000, -99.789, -99.550, -99.917
2022-12-27, 15.035, 5.675, 12.227, 12.912
2022-12-28, -12.602, -11.453, 0.000, -11.392
2022-12-29, -23.946, -9.968, -4.938, -19.595
2022-12-30, -27.747, -30.035, -44.848, -30.098
2022-12-31, 200.000, -100.000, NaN, 50.000
2023-01-01, -100.000, NaN, NaN, -100.000