# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Berlin
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# Version  : 2025-03-09/2304
# 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
2023-04-01, -100.000, -100.000, NaN, -100.000
2023-04-02, -100.000, -100.000, -100.000, -100.000
2023-04-03, -35.979, -33.945, -15.152, -30.402
2023-04-04, -24.845, 0.000, -34.375, -23.103
2023-04-05, -15.094, -15.873, -28.571, -20.000
2023-04-06, -20.000, 2.041, 30.000, -3.704
2023-04-07, -87.692, -81.250, -91.892, -87.313
2023-04-08, NaN, Infinity, NaN, Infinity
2023-04-09, NaN, NaN, NaN, NaN
2023-04-10, -97.521, -98.611, -95.238, -97.112
2023-04-11, -33.058, 58.333, 178.571, 31.390
2023-04-12, -12.222, -20.755, 24.444, -5.851
2023-04-13, 5.000, -32.000, 1.923, -6.044
2023-04-14, 750.000, 316.667, 633.333, 594.118
2023-04-15, NaN, -100.000, NaN, -100.000
2023-04-16, NaN, NaN, NaN, NaN
2023-04-17, 2800.000, 4900.000, 1325.000, 2337.500
2023-04-18, 1.235, -32.632, -58.974, -33.788
2023-04-19, -31.646, -28.571, -17.857, -26.554
2023-04-20, -35.714, -23.529, -43.396, -35.673
2023-04-21, -42.647, -24.000, 22.727, -27.119
2023-04-22, NaN, NaN, NaN, NaN
2023-04-23, Infinity, NaN, Infinity, Infinity
2023-04-24, -48.276, -22.000, -50.877, -42.564
2023-04-25, -35.366, -50.000, -18.750, -36.082
2023-04-26, -12.963, -3.333, -39.130, -20.000
2023-04-27, -50.000, -3.846, -16.667, -30.000
2023-04-28, -25.641, -21.053, -62.963, -37.209
2023-04-29, NaN, NaN, NaN, NaN
2023-04-30, -100.000, NaN, -100.000, -100.000
2023-05-01, -91.111, -97.436, -92.857, -93.750