# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Schleswig-Holstein
#
# Version  : 2025-03-09/2304
# 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
2023-04-01, 0.532, 0.945, 0.775, 0.655
2023-04-02, 0.000, 1.852, 0.922, 0.822
2023-04-03, 0.000, 1.678, 0.800, 0.819
2023-04-04, 0.000, 1.503, 0.878, 0.877
2023-04-05, 0.988, 0.808, 0.888, 0.900
2023-04-06, 0.942, 0.938, 0.911, 0.937
2023-04-07, 0.448, 0.457, 0.425, 0.448
2023-04-08, 0.331, 0.468, 0.435, 0.400
2023-04-09, NaN, 0.382, 0.474, 0.392
2023-04-10, NaN, 0.425, 0.504, 0.385
2023-04-11, NaN, 0.500, 0.609, 0.462
2023-04-12, 0.235, 0.575, 0.532, 0.456
2023-04-13, 1.071, 1.112, 1.162, 1.111
2023-04-14, 2.060, 1.542, 2.054, 1.901
2023-04-15, 1.822, 1.689, 2.136, 1.926
2023-04-16, Infinity, 1.130, 1.176, 1.494
2023-04-17, Infinity, 1.334, 1.084, 1.700
2023-04-18, Infinity, 0.981, 0.963, 1.502
2023-04-19, 2.433, 1.285, 1.842, 1.587
2023-04-20, 0.546, 0.571, 0.880, 0.633
2023-04-21, 0.610, 0.849, 0.927, 0.750
2023-04-22, 0.000, 0.849, 0.881, 0.755
2023-04-23, 0.000, 1.252, 1.454, 1.010
2023-04-24, 0.000, 1.017, 1.564, 0.934
2023-04-25, 0.608, 1.107, 1.221, 0.921
2023-04-26, 0.758, 0.751, 0.638, 0.722
2023-04-27, 0.830, 0.784, 0.666, 0.766
2023-04-28, 0.833, 0.838, 1.002, 0.910
2023-04-29, Infinity, 0.856, 1.329, 1.092
2023-04-30, Infinity, 1.162, 0.815, 1.214
2023-05-01, Infinity, 0.550, 0.325, 0.563