# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-03-09/2307
# 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
2023-07-01, NaN, NaN, NaN, NaN
2023-07-02, NaN, NaN, NaN, NaN
2023-07-03, NaN, NaN, NaN, NaN
2023-07-04, NaN, NaN, NaN, NaN
2023-07-05, 1.240, 2.520, 0.669, 1.298
2023-07-06, 0.760, 2.000, 1.145, 1.016
2023-07-07, 0.800, 1.000, 1.442, 1.000
2023-07-08, NaN, NaN, NaN, NaN
2023-07-09, NaN, NaN, NaN, NaN
2023-07-10, NaN, NaN, NaN, NaN
2023-07-11, NaN, NaN, NaN, NaN
2023-07-12, 0.804, 0.572, 0.909, 0.719
2023-07-13, 1.500, 1.000, 0.909, 1.214
2023-07-14, 1.332, 2.000, 1.000, 1.329
2023-07-15, NaN, NaN, NaN, NaN
2023-07-16, NaN, NaN, NaN, NaN
2023-07-17, NaN, NaN, NaN, NaN
2023-07-18, NaN, NaN, NaN, NaN
2023-07-19, 1.087, 1.387, 1.387, 1.218
2023-07-20, 1.424, 1.587, 1.817, 1.557
2023-07-21, 1.273, 1.145, 2.080, 1.360
2023-07-22, NaN, NaN, NaN, NaN
2023-07-23, NaN, NaN, NaN, NaN
2023-07-24, NaN, NaN, NaN, NaN
2023-07-25, NaN, NaN, NaN, NaN
2023-07-26, 1.182, 2.327, 1.554, 1.505
2023-07-27, 0.840, 1.198, 0.941, 0.934
2023-07-28, 0.990, 1.077, 0.630, 0.902
2023-07-29, NaN, NaN, NaN, NaN
2023-07-30, NaN, NaN, NaN, NaN
2023-07-31, NaN, NaN, NaN, NaN
2023-08-01, Infinity, Infinity, NaN, Infinity