# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Bremen
#
# Version  : 2025-03-09/2302
# 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
2023-02-01, 1.025, 1.431, 1.957, 1.134
2023-02-02, 1.154, 1.378, Infinity, 1.224
2023-02-03, 1.349, 1.219, Infinity, 1.304
2023-02-04, NaN, NaN, NaN, NaN
2023-02-05, NaN, NaN, NaN, NaN
2023-02-06, NaN, NaN, NaN, NaN
2023-02-07, 0.000, NaN, NaN, 0.000
2023-02-08, 0.708, 0.859, 0.829, 0.742
2023-02-09, 0.839, 0.965, 1.211, 0.882
2023-02-10, 0.951, 0.956, 1.943, 1.024
2023-02-11, NaN, NaN, NaN, NaN
2023-02-12, NaN, NaN, NaN, NaN
2023-02-13, NaN, NaN, NaN, NaN
2023-02-14, NaN, NaN, NaN, NaN
2023-02-15, 1.078, 1.442, 1.168, 1.152
2023-02-16, 1.026, 1.817, 1.202, 1.161
2023-02-17, 1.000, 1.661, 0.647, 1.038
2023-02-18, NaN, NaN, NaN, NaN
2023-02-19, NaN, NaN, NaN, NaN
2023-02-20, NaN, NaN, NaN, NaN
2023-02-21, NaN, NaN, NaN, NaN
2023-02-22, 1.303, 1.042, 1.431, 1.264
2023-02-23, 1.503, 0.970, 1.584, 1.387
2023-02-24, 1.342, 0.782, 1.781, 1.264
2023-02-25, NaN, Infinity, Infinity, Infinity
2023-02-26, NaN, NaN, NaN, NaN
2023-02-27, NaN, NaN, NaN, NaN
2023-02-28, NaN, NaN, NaN, NaN
2023-03-01, 1.008, 1.118, 0.706, 0.983