# Gemittelte 7-Tage-Faktoren 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, 0.000, 0.000, 0.000, 0.000
2023-11-02, NaN, NaN, 0.000, 0.000
2023-11-03, Infinity, Infinity, 4.030, 3.391
2023-11-04, NaN, NaN, NaN, NaN
2023-11-05, NaN, NaN, NaN, NaN
2023-11-06, NaN, NaN, NaN, NaN
2023-11-07, NaN, NaN, NaN, NaN
2023-11-08, Infinity, Infinity, Infinity, Infinity
2023-11-09, Infinity, Infinity, Infinity, Infinity
2023-11-10, 1.140, 1.221, 1.372, 1.248
2023-11-11, NaN, Infinity, Infinity, Infinity
2023-11-12, NaN, NaN, NaN, NaN
2023-11-13, NaN, NaN, NaN, NaN
2023-11-14, NaN, NaN, NaN, NaN
2023-11-15, 1.077, 0.533, 0.635, 0.651
2023-11-16, 0.603, 0.433, 0.374, 0.411
2023-11-17, 0.357, 0.265, 0.221, 0.274
2023-11-18, NaN, 0.000, 0.000, 0.000
2023-11-19, NaN, NaN, NaN, NaN
2023-11-20, NaN, NaN, NaN, NaN
2023-11-21, NaN, NaN, NaN, NaN
2023-11-22, 1.242, 0.712, 0.953, 0.971
2023-11-23, 1.938, 0.781, 1.412, 1.424
2023-11-24, 1.799, 0.941, 1.135, 1.377
2023-11-25, NaN, NaN, NaN, NaN
2023-11-26, NaN, NaN, NaN, NaN
2023-11-27, NaN, NaN, NaN, NaN
2023-11-28, NaN, NaN, NaN, NaN
2023-11-29, 0.743, 0.000, 1.242, 0.890
2023-11-30, 0.882, 2.220, 1.491, 1.277
2023-12-01, 0.935, 1.281, 1.441, 1.120