# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Berlin
#
# 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, 0.000, 0.000, NaN, 0.000
2023-04-02, 0.000, 0.000, NaN, 0.000
2023-04-03, 0.000, 0.000, NaN, 0.000
2023-04-04, 0.000, 0.000, 0.000, 0.000
2023-04-05, 0.742, 0.822, 0.735, 0.754
2023-04-06, 0.799, 0.950, 0.848, 0.840
2023-04-07, 0.437, 0.544, 0.422, 0.461
2023-04-08, NaN, Infinity, NaN, Infinity
2023-04-09, NaN, NaN, NaN, NaN
2023-04-10, NaN, NaN, NaN, NaN
2023-04-11, NaN, NaN, NaN, NaN
2023-04-12, 0.244, 0.259, 0.549, 0.329
2023-04-13, 0.851, 0.948, 1.523, 1.051
2023-04-14, 1.986, 1.309, 2.103, 1.831
2023-04-15, NaN, 0.000, NaN, 0.000
2023-04-16, NaN, NaN, NaN, NaN
2023-04-17, NaN, NaN, NaN, NaN
2023-04-18, NaN, NaN, NaN, NaN
2023-04-19, 2.717, 2.887, 1.687, 2.280
2023-04-20, 0.763, 0.717, 0.576, 0.679
2023-04-21, 0.632, 0.746, 0.829, 0.701
2023-04-22, NaN, NaN, NaN, NaN
2023-04-23, NaN, NaN, NaN, NaN
2023-04-24, NaN, NaN, NaN, NaN
2023-04-25, Infinity, NaN, Infinity, Infinity
2023-04-26, 0.663, 0.722, 0.624, 0.665
2023-04-27, 0.655, 0.775, 0.744, 0.710
2023-04-28, 0.687, 0.902, 0.573, 0.706
2023-04-29, NaN, NaN, NaN, NaN
2023-04-30, NaN, NaN, NaN, NaN
2023-05-01, NaN, NaN, NaN, NaN