# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Bremen
#
# Version  : 2025-03-09/2301
# 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
2023-01-01, NaN, NaN, NaN, NaN
2023-01-02, NaN, NaN, NaN, NaN
2023-01-03, NaN, NaN, NaN, NaN
2023-01-04, 3.571, Infinity, Infinity, 3.840
2023-01-05, 0.586, 0.412, 0.370, 0.526
2023-01-06, 0.593, 0.554, 0.476, 0.578
2023-01-07, Infinity, Infinity, Infinity, Infinity
2023-01-08, NaN, NaN, NaN, NaN
2023-01-09, NaN, NaN, NaN, NaN
2023-01-10, NaN, NaN, NaN, NaN
2023-01-11, 0.580, 0.633, 0.568, 0.590
2023-01-12, 0.565, 0.667, 0.816, 0.598
2023-01-13, 0.452, 0.540, 0.503, 0.468
2023-01-14, 0.000, 0.000, 0.439, 0.179
2023-01-15, NaN, NaN, NaN, Infinity
2023-01-16, NaN, NaN, NaN, Infinity
2023-01-17, Infinity, NaN, NaN, Infinity
2023-01-18, 0.599, 0.402, 0.372, 0.549
2023-01-19, 0.685, 0.412, 0.288, 0.594
2023-01-20, 0.785, 0.411, 0.297, 0.660
2023-01-21, NaN, NaN, 0.000, 0.000
2023-01-22, NaN, NaN, NaN, 0.000
2023-01-23, NaN, NaN, NaN, 0.000
2023-01-24, 0.000, NaN, NaN, 0.000
2023-01-25, 1.290, 0.877, 1.075, 1.172
2023-01-26, 1.095, 0.922, 0.000, 1.065
2023-01-27, 1.066, 1.225, 0.000, 1.142
2023-01-28, NaN, NaN, NaN, NaN
2023-01-29, NaN, NaN, NaN, NaN
2023-01-30, NaN, NaN, NaN, NaN
2023-01-31, Infinity, NaN, NaN, Infinity
2023-02-01, 1.025, 1.431, 1.957, 1.134