# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Hamburg
#
# 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, 0.584, 0.000, 0.349
2023-11-02, 0.000, 0.671, 0.000, 0.454
2023-11-03, 2.390, 1.800, 1.715, 1.979
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, 0.000, NaN, 0.000
2023-11-08, Infinity, 2.064, Infinity, 3.752
2023-11-09, Infinity, 1.490, Infinity, 2.712
2023-11-10, 0.726, 0.604, 0.633, 0.650
2023-11-11, NaN, NaN, NaN, NaN
2023-11-12, NaN, NaN, NaN, NaN
2023-11-13, NaN, NaN, NaN, NaN
2023-11-14, NaN, NaN, NaN, NaN
2023-11-15, 1.298, 1.136, 0.686, 1.020
2023-11-16, 1.227, 1.137, 1.014, 1.144
2023-11-17, 1.043, 1.038, 1.113, 1.092
2023-11-18, NaN, NaN, NaN, NaN
2023-11-19, NaN, NaN, NaN, NaN
2023-11-20, NaN, NaN, NaN, NaN
2023-11-21, NaN, NaN, NaN, NaN
2023-11-22, 0.988, 1.277, 1.515, 1.230
2023-11-23, 1.170, 1.364, 1.271, 1.230
2023-11-24, 1.031, 1.173, 0.936, 1.002
2023-11-25, NaN, NaN, NaN, NaN
2023-11-26, NaN, NaN, NaN, NaN
2023-11-27, NaN, NaN, NaN, NaN
2023-11-28, Infinity, Infinity, Infinity, Infinity
2023-11-29, 1.260, 0.843, 0.886, 0.974
2023-11-30, 0.982, 0.898, 0.826, 0.915
2023-12-01, 1.174, 0.822, 0.911, 1.010