# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Hamburg
#
# Version  : 2025-03-09/2501
# 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
2025-01-01, NaN, NaN, NaN, NaN
2025-01-02, NaN, NaN, NaN, NaN
2025-01-03, NaN, NaN, NaN, NaN
2025-01-04, NaN, NaN, NaN, NaN
2025-01-05, NaN, NaN, NaN, NaN
2025-01-06, NaN, NaN, NaN, NaN
2025-01-07, NaN, NaN, NaN, NaN
2025-01-08, Infinity, Infinity, Infinity, Infinity
2025-01-09, Infinity, Infinity, Infinity, Infinity
2025-01-10, Infinity, Infinity, Infinity, Infinity
2025-01-11, NaN, NaN, NaN, NaN
2025-01-12, NaN, NaN, NaN, NaN
2025-01-13, NaN, NaN, NaN, NaN
2025-01-14, NaN, NaN, NaN, NaN
2025-01-15, 0.598, 0.714, 2.000, 0.896
2025-01-16, 0.759, 0.909, 1.554, 1.016
2025-01-17, 0.995, 1.339, 1.710, 1.276
2025-01-18, NaN, NaN, NaN, NaN
2025-01-19, NaN, NaN, NaN, NaN
2025-01-20, NaN, NaN, NaN, NaN
2025-01-21, NaN, NaN, NaN, NaN
2025-01-22, 1.747, 0.000, 3.078, 1.594
2025-01-23, 1.317, 0.000, 2.988, 1.468
2025-01-24, 1.005, 1.077, 1.387, 1.126
2025-01-25, NaN, NaN, NaN, NaN
2025-01-26, NaN, NaN, NaN, NaN
2025-01-27, NaN, NaN, NaN, NaN
2025-01-28, NaN, NaN, NaN, NaN
2025-01-29, 0.936, Infinity, 0.490, 0.975
2025-01-30, 1.054, Infinity, 0.422, 0.944
2025-01-31, 0.921, 1.119, 0.721, 0.891
2025-02-01, NaN, NaN, NaN, NaN