# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Bremen
#
# Version  : 2025-03-09/2312
# 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
2023-12-01, 75.000, -40.000, 66.667, 33.333
2023-12-02, NaN, NaN, NaN, NaN
2023-12-03, NaN, NaN, NaN, NaN
2023-12-04, 300.000, Infinity, 400.000, 614.286
2023-12-05, -54.545, -36.000, -50.000, -46.479
2023-12-06, 11.765, 0.000, 42.857, 17.778
2023-12-07, 240.000, 20.000, 60.000, 106.667
2023-12-08, 57.143, 266.667, 20.000, 75.000
2023-12-09, NaN, NaN, NaN, NaN
2023-12-10, NaN, NaN, NaN, NaN
2023-12-11, 141.667, -5.556, 5.000, 34.000
2023-12-12, 120.000, -56.250, 8.333, 10.526
2023-12-13, -15.789, -28.571, -40.000, -28.302
2023-12-14, -11.765, 100.000, 62.500, 29.032
2023-12-15, 27.273, 27.273, 150.000, 53.571
2023-12-16, NaN, NaN, NaN, NaN
2023-12-17, NaN, NaN, NaN, NaN
2023-12-18, -89.655, -88.235, -100.000, -92.537
2023-12-19, 50.000, 371.429, 300.000, 180.952
2023-12-20, -87.500, -50.000, -91.667, -78.947
2023-12-21, -86.667, -83.333, -92.308, -87.500
2023-12-22, 85.714, 7.143, 6.667, 32.558
2023-12-23, NaN, NaN, NaN, NaN
2023-12-24, NaN, NaN, NaN, NaN
2023-12-25, -100.000, -100.000, NaN, -100.000
2023-12-26, -100.000, -100.000, -100.000, -100.000
2023-12-27, 500.000, 360.000, 3800.000, 825.000
2023-12-28, 200.000, 250.000, 500.000, 280.000
2023-12-29, -80.769, -46.667, -50.000, -63.158
2023-12-30, NaN, NaN, NaN, NaN
2023-12-31, NaN, NaN, NaN, NaN
2024-01-01, NaN, NaN, NaN, NaN