# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche 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, Infinity, Infinity, Infinity
2025-01-02, 225.000, 800.000, 471.429, 471.429
2025-01-03, -15.385, -54.054, -69.388, -56.566
2025-01-04, NaN, NaN, NaN, NaN
2025-01-05, -100.000, -100.000, NaN, -100.000
2025-01-06, 75.000, 69.231, 2.941, 32.203
2025-01-07, Infinity, Infinity, 533.333, 2200.000
2025-01-08, Infinity, 750.000, 900.000, 1175.000
2025-01-09, -7.692, -66.667, -72.500, -60.000
2025-01-10, -27.273, -47.059, 0.000, -25.581
2025-01-11, NaN, NaN, NaN, NaN
2025-01-12, Infinity, Infinity, NaN, Infinity
2025-01-13, -4.762, -4.545, -14.286, -8.974
2025-01-14, -83.333, -78.125, -47.368, -71.014
2025-01-15, -42.857, -35.294, 10.000, -19.608
2025-01-16, -41.667, -44.444, -18.182, -34.375
2025-01-17, -25.000, -44.444, -40.000, -37.500
2025-01-18, NaN, NaN, NaN, NaN
2025-01-19, -66.667, 0.000, NaN, -40.000
2025-01-20, -50.000, -33.333, -53.333, -46.479
2025-01-21, -33.333, 142.857, -20.000, 35.000
2025-01-22, 25.000, -9.091, -40.909, -19.512
2025-01-23, 57.143, 160.000, 0.000, 57.143
2025-01-24, 33.333, 80.000, -33.333, 15.000
2025-01-25, NaN, Infinity, Infinity, Infinity
2025-01-26, -100.000, -100.000, NaN, -100.000
2025-01-27, 10.000, -21.429, -7.143, 0.000
2025-01-28, 250.000, -47.059, 100.000, 18.519
2025-01-29, 0.000, 30.000, 15.385, 15.152
2025-01-30, -36.364, -30.769, -11.111, -27.273
2025-01-31, -12.500, 22.222, 66.667, 26.087
2025-02-01, Infinity, 0.000, -100.000, 25.000