# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-03-09/2501
# 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
2025-01-01, NaN, NaN, Infinity, Infinity
2025-01-02, NaN, NaN, Infinity, Infinity
2025-01-03, NaN, Infinity, Infinity, Infinity
2025-01-04, NaN, NaN, NaN, NaN
2025-01-05, NaN, NaN, NaN, NaN
2025-01-06, NaN, NaN, NaN, NaN
2025-01-07, NaN, NaN, NaN, 0.000
2025-01-08, Infinity, Infinity, 4.025, 7.292
2025-01-09, Infinity, Infinity, 2.592, 4.895
2025-01-10, Infinity, 1.145, 1.401, 1.560
2025-01-11, NaN, NaN, NaN, NaN
2025-01-12, NaN, NaN, NaN, NaN
2025-01-13, NaN, NaN, NaN, NaN
2025-01-14, Infinity, Infinity, NaN, Infinity
2025-01-15, 0.449, 0.513, 0.792, 0.596
2025-01-16, 0.382, 0.428, 0.780, 0.535
2025-01-17, 0.630, 0.585, 0.814, 0.691
2025-01-18, NaN, NaN, NaN, NaN
2025-01-19, NaN, NaN, NaN, NaN
2025-01-20, NaN, NaN, NaN, NaN
2025-01-21, 0.481, 1.174, NaN, 0.757
2025-01-22, 0.747, 1.138, 0.604, 0.835
2025-01-23, 1.094, 1.791, 0.779, 1.195
2025-01-24, 1.378, 1.620, 0.733, 1.133
2025-01-25, NaN, Infinity, Infinity, Infinity
2025-01-26, NaN, NaN, NaN, NaN
2025-01-27, NaN, NaN, NaN, NaN
2025-01-28, 0.000, 0.000, NaN, 0.000
2025-01-29, 1.567, 0.815, 1.289, 1.109
2025-01-30, 1.306, 0.781, 1.271, 0.998
2025-01-31, 0.823, 1.032, 1.196, 1.018
2025-02-01, Infinity, 0.946, 0.000, 1.047