# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-03-09/2310
# 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
2023-10-01, NaN, NaN, NaN, NaN
2023-10-02, NaN, NaN, NaN, NaN
2023-10-03, NaN, NaN, NaN, NaN
2023-10-04, 0.000, 0.000, 0.000, 0.000
2023-10-05, 0.000, 0.000, 0.000, 0.000
2023-10-06, 0.828, 1.660, 1.720, 1.091
2023-10-07, NaN, NaN, NaN, NaN
2023-10-08, NaN, NaN, NaN, NaN
2023-10-09, NaN, NaN, NaN, NaN
2023-10-10, NaN, NaN, NaN, NaN
2023-10-11, Infinity, Infinity, Infinity, Infinity
2023-10-12, Infinity, Infinity, Infinity, Infinity
2023-10-13, 1.231, 0.997, 1.077, 1.120
2023-10-14, NaN, NaN, NaN, NaN
2023-10-15, NaN, NaN, NaN, NaN
2023-10-16, NaN, NaN, NaN, NaN
2023-10-17, Infinity, Infinity, NaN, Infinity
2023-10-18, 0.888, 0.988, 0.672, 0.852
2023-10-19, 0.832, 0.899, 0.615, 0.791
2023-10-20, 0.838, 0.899, 0.811, 0.858
2023-10-21, NaN, NaN, NaN, NaN
2023-10-22, NaN, NaN, NaN, NaN
2023-10-23, NaN, NaN, NaN, NaN
2023-10-24, 0.000, 0.000, NaN, 0.000
2023-10-25, 1.467, 1.737, 2.521, 1.787
2023-10-26, 1.477, 2.303, 2.932, 2.000
2023-10-27, 1.335, 2.285, 2.258, 1.780
2023-10-28, NaN, NaN, NaN, NaN
2023-10-29, NaN, NaN, NaN, NaN
2023-10-30, NaN, NaN, NaN, NaN
2023-10-31, Infinity, Infinity, Infinity, Infinity
2023-11-01, 1.320, 1.347, 1.503, 1.379