# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-03-09/2301
# 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
2023-01-01, 0.000, NaN, NaN, 0.000
2023-01-02, NaN, NaN, NaN, 0.000
2023-01-03, NaN, NaN, NaN, 0.000
2023-01-04, Infinity, 4.079, 3.283, 5.834
2023-01-05, 0.572, 0.533, 0.530, 0.561
2023-01-06, 0.666, 0.576, 0.640, 0.649
2023-01-07, 0.659, NaN, NaN, 0.656
2023-01-08, NaN, NaN, NaN, NaN
2023-01-09, NaN, NaN, NaN, NaN
2023-01-10, NaN, NaN, NaN, NaN
2023-01-11, 0.614, 0.612, 0.566, 0.609
2023-01-12, 0.548, 0.545, 0.520, 0.545
2023-01-13, 0.565, 0.587, 0.550, 0.566
2023-01-14, 1.047, Infinity, NaN, 1.223
2023-01-15, NaN, NaN, NaN, NaN
2023-01-16, NaN, NaN, NaN, NaN
2023-01-17, NaN, NaN, NaN, NaN
2023-01-18, 0.741, 0.606, 0.777, 0.720
2023-01-19, 0.751, 0.536, 0.725, 0.709
2023-01-20, 0.796, 0.617, 0.875, 0.771
2023-01-21, 0.456, 0.000, NaN, 0.377
2023-01-22, NaN, NaN, NaN, NaN
2023-01-23, NaN, NaN, NaN, NaN
2023-01-24, NaN, NaN, NaN, NaN
2023-01-25, 0.866, 0.753, 0.821, 0.843
2023-01-26, 1.017, 1.057, 0.960, 1.016
2023-01-27, 1.004, 0.963, 0.803, 0.977
2023-01-28, 1.818, NaN, NaN, 1.786
2023-01-29, Infinity, NaN, NaN, Infinity
2023-01-30, Infinity, NaN, NaN, Infinity
2023-01-31, Infinity, NaN, NaN, Infinity
2023-02-01, 1.066, 1.260, 1.051, 1.092