# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Bremen
#
# Version  : 2025-03-09/2303
# 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
2023-03-01, 1.008, 1.118, 0.706, 0.983
2023-03-02, 0.675, 0.962, 0.685, 0.728
2023-03-03, 0.393, 0.754, 0.422, 0.444
2023-03-04, NaN, 0.000, 0.000, 0.000
2023-03-05, NaN, NaN, NaN, NaN
2023-03-06, NaN, NaN, NaN, NaN
2023-03-07, NaN, NaN, NaN, NaN
2023-03-08, 0.327, 0.708, 1.209, 0.491
2023-03-09, 0.333, 0.637, 0.848, 0.455
2023-03-10, 0.561, 0.850, 1.333, 0.714
2023-03-11, NaN, Infinity, NaN, Infinity
2023-03-12, NaN, NaN, NaN, NaN
2023-03-13, NaN, NaN, NaN, NaN
2023-03-14, NaN, NaN, NaN, NaN
2023-03-15, 0.965, 1.112, 0.904, 1.024
2023-03-16, 1.241, 1.195, 1.100, 1.233
2023-03-17, 1.229, 1.120, 1.129, 1.186
2023-03-18, NaN, 0.000, NaN, 0.000
2023-03-19, NaN, NaN, NaN, NaN
2023-03-20, NaN, NaN, NaN, NaN
2023-03-21, NaN, NaN, NaN, NaN
2023-03-22, 0.754, 0.914, 0.974, 0.829
2023-03-23, 0.648, 0.958, 0.875, 0.757
2023-03-24, 0.549, 0.971, 0.597, 0.653
2023-03-25, NaN, NaN, NaN, NaN
2023-03-26, NaN, NaN, NaN, NaN
2023-03-27, NaN, NaN, NaN, NaN
2023-03-28, NaN, NaN, NaN, NaN
2023-03-29, 0.500, 0.621, 0.580, 0.568
2023-03-30, 0.462, 0.556, 0.693, 0.561
2023-03-31, 0.660, 0.701, 1.281, 0.795
2023-04-01, NaN, NaN, NaN, NaN