# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Verstorbenen in Berlin
#
# Version  : 2025-03-09/2311
# 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
2023-11-01, NaN, Infinity, 0.000, 50.000
2023-11-02, -100.000, 100.000, -100.000, -60.000
2023-11-03, -100.000, -50.000, Infinity, -33.333
2023-11-04, NaN, NaN, NaN, NaN
2023-11-05, NaN, NaN, NaN, NaN
2023-11-06, Infinity, -33.333, -33.333, -16.667
2023-11-07, NaN, Infinity, -33.333, 0.000
2023-11-08, NaN, 0.000, 300.000, 200.000
2023-11-09, NaN, -100.000, Infinity, 0.000
2023-11-10, NaN, 0.000, 0.000, 0.000
2023-11-11, NaN, NaN, NaN, NaN
2023-11-12, NaN, NaN, NaN, NaN
2023-11-13, -100.000, 250.000, 50.000, 100.000
2023-11-14, NaN, 0.000, 100.000, 66.667
2023-11-15, Infinity, 100.000, -87.500, -55.556
2023-11-16, NaN, Infinity, -100.000, 50.000
2023-11-17, NaN, 0.000, 200.000, 100.000
2023-11-18, NaN, NaN, NaN, NaN
2023-11-19, NaN, NaN, NaN, NaN
2023-11-20, Infinity, -71.429, 100.000, -10.000
2023-11-21, NaN, 0.000, -75.000, -60.000
2023-11-22, -100.000, 0.000, -100.000, -50.000
2023-11-23, NaN, -66.667, NaN, -66.667
2023-11-24, NaN, -100.000, -33.333, -50.000
2023-11-25, NaN, NaN, NaN, NaN
2023-11-26, NaN, NaN, NaN, NaN
2023-11-27, -100.000, 0.000, 0.000, -11.111
2023-11-28, NaN, 100.000, 200.000, 150.000
2023-11-29, Infinity, -50.000, Infinity, 150.000
2023-11-30, NaN, 0.000, Infinity, 100.000
2023-12-01, NaN, NaN, -100.000, -100.000