# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Bremen
#
# Version  : 2025-03-09/2311
# 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
2023-11-01, -26.667, 220.000, 700.000, 95.455
2023-11-02, Infinity, Infinity, 800.000, 2350.000
2023-11-03, -42.857, 18.182, -9.091, -18.605
2023-11-04, NaN, NaN, NaN, NaN
2023-11-05, NaN, NaN, NaN, NaN
2023-11-06, -14.286, 54.545, 33.333, 29.630
2023-11-07, Infinity, Infinity, Infinity, Infinity
2023-11-08, 245.455, 187.500, 175.000, 197.674
2023-11-09, -35.714, -41.176, -27.778, -34.694
2023-11-10, -33.333, 7.692, 30.000, 0.000
2023-11-11, NaN, Infinity, Infinity, Infinity
2023-11-12, NaN, NaN, NaN, NaN
2023-11-13, 216.667, 11.765, 50.000, 85.714
2023-11-14, 200.000, 55.556, 50.000, 35.714
2023-11-15, -86.842, -91.304, -88.636, -89.063
2023-11-16, -44.444, -40.000, -69.231, -53.125
2023-11-17, -37.500, -64.286, -69.231, -60.000
2023-11-18, NaN, -100.000, -100.000, -100.000
2023-11-19, NaN, NaN, NaN, NaN
2023-11-20, -26.316, -36.842, 0.000, -32.308
2023-11-21, 0.000, -42.857, 44.444, -5.263
2023-11-22, 160.000, 0.000, -40.000, 42.857
2023-11-23, 180.000, -16.667, 225.000, 113.333
2023-11-24, -20.000, 0.000, -25.000, -14.286
2023-11-25, NaN, NaN, NaN, NaN
2023-11-26, NaN, NaN, NaN, NaN
2023-11-27, -78.571, -100.000, -77.778, -84.091
2023-11-28, 46.667, 212.500, 84.615, 97.222
2023-11-29, 30.769, 250.000, 366.667, 125.000
2023-11-30, -64.286, 0.000, -61.538, -53.125
2023-12-01, 75.000, -40.000, 66.667, 33.333