# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Bremen
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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, NaN, NaN, NaN, NaN
2023-04-02, Infinity, NaN, NaN, Infinity
2023-04-03, 16.667, -12.500, 23.529, 6.780
2023-04-04, 45.455, 35.714, 50.000, 42.857
2023-04-05, -13.333, -30.000, 14.286, -15.152
2023-04-06, 11.111, -36.364, -72.727, -35.484
2023-04-07, -100.000, -66.667, -83.333, -85.000
2023-04-08, NaN, Infinity, NaN, Infinity
2023-04-09, 200.000, Infinity, NaN, 300.000
2023-04-10, -100.000, -100.000, -100.000, -100.000
2023-04-11, -50.000, -73.684, -53.333, -60.000
2023-04-12, -23.077, 0.000, -12.500, -14.286
2023-04-13, -30.000, -42.857, 200.000, 0.000
2023-04-14, Infinity, 150.000, 300.000, 400.000
2023-04-15, NaN, -100.000, NaN, -100.000
2023-04-16, -66.667, 100.000, Infinity, 75.000
2023-04-17, Infinity, Infinity, Infinity, Infinity
2023-04-18, -37.500, -80.000, -57.143, -55.000
2023-04-19, -60.000, -57.143, -85.714, -66.667
2023-04-20, -42.857, -75.000, -88.889, -70.000
2023-04-21, -50.000, -60.000, 0.000, -40.000
2023-04-22, NaN, NaN, NaN, NaN
2023-04-23, -100.000, -100.000, -100.000, -100.000
2023-04-24, 200.000, -28.571, 100.000, 60.000
2023-04-25, 100.000, 500.000, 100.000, 144.444
2023-04-26, -50.000, 100.000, 300.000, 50.000
2023-04-27, -75.000, 400.000, 100.000, 33.333
2023-04-28, 200.000, 250.000, 150.000, 511.111
2023-04-29, NaN, NaN, NaN, NaN
2023-04-30, NaN, NaN, NaN, NaN
2023-05-01, -100.000, -80.000, -100.000, -95.833