# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-03-09/2301
# 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
2023-01-01, -100.000, NaN, NaN, -100.000
2023-01-02, Infinity, 26600.000, 13800.000, 73300.000
2023-01-03, -60.186, -53.148, -49.416, -57.957
2023-01-04, -31.128, -45.741, -49.673, -35.658
2023-01-05, -31.799, -40.357, -41.558, -34.579
2023-01-06, -36.985, -40.909, -10.989, -35.178
2023-01-07, -33.333, NaN, NaN, -33.333
2023-01-08, NaN, NaN, NaN, NaN
2023-01-09, -24.105, -26.217, -23.022, -24.319
2023-01-10, -51.402, -56.917, -62.308, -53.592
2023-01-11, -37.192, -27.907, -37.662, -35.627
2023-01-12, -46.166, -47.904, -40.000, -45.934
2023-01-13, -46.626, -46.154, -55.556, -47.902
2023-01-14, 300.000, Infinity, NaN, 550.000
2023-01-15, NaN, NaN, NaN, NaN
2023-01-16, -35.112, -35.025, -42.991, -35.914
2023-01-17, -5.529, -30.275, -22.449, -11.652
2023-01-18, -33.725, -50.806, 6.250, -34.114
2023-01-19, -32.479, -55.172, -53.704, -38.821
2023-01-20, 12.644, 6.349, 36.111, 13.889
2023-01-21, -87.500, -100.000, NaN, -92.308
2023-01-22, NaN, NaN, NaN, NaN
2023-01-23, -17.208, -40.625, -9.836, -20.787
2023-01-24, -6.870, -17.105, 7.895, -7.480
2023-01-25, -15.680, -13.115, -43.137, -18.222
2023-01-26, 33.755, 64.103, 44.000, 38.538
2023-01-27, -10.204, -37.313, -36.735, -17.805
2023-01-28, 400.000, NaN, NaN, 400.000
2023-01-29, Infinity, NaN, NaN, Infinity
2023-01-30, -9.007, 13.158, -1.818, -5.319
2023-01-31, 22.131, 30.159, -7.317, 20.638
2023-02-01, 9.123, 35.849, 27.586, 14.130