# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Bremen
#
# Version  : 2025-03-09/2310
# 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
2023-10-01, NaN, NaN, NaN, NaN
2023-10-02, NaN, NaN, NaN, NaN
2023-10-03, NaN, NaN, NaN, NaN
2023-10-04, 0.000, 0.000, 0.000, 0.000
2023-10-05, 0.000, 0.000, 0.000, 0.000
2023-10-06, 0.000, 0.000, 0.000, 0.286
2023-10-07, NaN, NaN, NaN, NaN
2023-10-08, NaN, NaN, NaN, NaN
2023-10-09, NaN, NaN, NaN, NaN
2023-10-10, Infinity, NaN, NaN, Infinity
2023-10-11, Infinity, NaN, NaN, Infinity
2023-10-12, Infinity, NaN, NaN, Infinity
2023-10-13, Infinity, Infinity, NaN, 2.000
2023-10-14, NaN, NaN, NaN, NaN
2023-10-15, NaN, NaN, NaN, NaN
2023-10-16, NaN, NaN, NaN, NaN
2023-10-17, 0.000, NaN, NaN, 0.000
2023-10-18, 0.000, NaN, Infinity, 1.738
2023-10-19, 0.000, NaN, NaN, 0.836
2023-10-20, 1.957, 0.000, NaN, 1.171
2023-10-21, NaN, NaN, NaN, NaN
2023-10-22, NaN, NaN, NaN, NaN
2023-10-23, NaN, NaN, NaN, NaN
2023-10-24, NaN, NaN, NaN, NaN
2023-10-25, Infinity, Infinity, 1.877, 3.354
2023-10-26, NaN, NaN, Infinity, 3.354
2023-10-27, 0.000, NaN, Infinity, 2.016
2023-10-28, NaN, NaN, NaN, NaN
2023-10-29, NaN, NaN, NaN, NaN
2023-10-30, NaN, NaN, NaN, NaN
2023-10-31, NaN, NaN, NaN, NaN
2023-11-01, 0.000, 0.000, 0.000, 0.000