# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-03-09/2307
# 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
2023-07-01, NaN, NaN, NaN, NaN
2023-07-02, NaN, NaN, NaN, NaN
2023-07-03, 333.333, 300.000, -40.000, 212.500
2023-07-04, 14.286, 300.000, -50.000, 16.667
2023-07-05, -61.538, 0.000, 0.000, -40.000
2023-07-06, 0.000, 100.000, 200.000, 50.000
2023-07-07, 33.333, -50.000, 0.000, 11.111
2023-07-08, NaN, NaN, NaN, NaN
2023-07-09, NaN, NaN, NaN, NaN
2023-07-10, -76.923, -62.500, 0.000, -70.000
2023-07-11, 25.000, -25.000, 50.000, 14.286
2023-07-12, 80.000, -33.333, -50.000, 8.333
2023-07-13, 50.000, 100.000, 0.000, 44.444
2023-07-14, -12.500, 500.000, 100.000, 50.000
2023-07-15, NaN, NaN, NaN, NaN
2023-07-16, NaN, NaN, NaN, NaN
2023-07-17, -11.111, 33.333, 33.333, 6.667
2023-07-18, 0.000, 33.333, -33.333, 0.000
2023-07-19, 44.444, 50.000, 200.000, 69.231
2023-07-20, 100.000, 100.000, 200.000, 123.077
2023-07-21, -28.571, -50.000, 0.000, -33.333
2023-07-22, NaN, NaN, NaN, NaN
2023-07-23, NaN, NaN, NaN, NaN
2023-07-24, 62.500, 175.000, 50.000, 87.500
2023-07-25, 10.000, 175.000, 400.000, 100.000
2023-07-26, -7.692, 66.667, -50.000, -9.091
2023-07-27, -41.667, -62.500, -66.667, -55.172
2023-07-28, 80.000, 100.000, 50.000, 80.000
2023-07-29, NaN, NaN, NaN, NaN
2023-07-30, Infinity, Infinity, NaN, Infinity
2023-07-31, 0.000, -36.364, -50.000, -23.333
2023-08-01, 27.273, 45.455, -50.000, 9.375