# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Berlin
#
# Version  : 2025-04-26/2502
# 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
2025-02-01, Infinity, 0.000, -100.000, 25.000
2025-02-02, NaN, NaN, Infinity, Infinity
2025-02-03, -9.091, -18.182, -15.385, -21.053
2025-02-04, 85.714, -44.444, -43.750, -15.625
2025-02-05, -20.000, -23.077, -80.000, -44.737
2025-02-06, -42.857, -55.556, -12.500, -37.500
2025-02-07, -42.857, -100.000, -60.000, -72.414
2025-02-08, -100.000, -100.000, NaN, -100.000
2025-02-09, NaN, NaN, -100.000, -100.000
2025-02-10, 0.000, -33.333, 27.273, 0.000
2025-02-11, -30.769, 160.000, 55.556, 33.333
2025-02-12, -100.000, -60.000, 33.333, -61.905
2025-02-13, 0.000, 175.000, 42.857, 66.667
2025-02-14, 75.000, Infinity, 125.000, 187.500
2025-02-15, NaN, NaN, NaN, NaN
2025-02-16, NaN, NaN, NaN, NaN
2025-02-17, -20.000, 133.333, -21.429, 10.000
2025-02-18, -55.556, -61.538, -78.571, -66.667
2025-02-19, Infinity, 175.000, 225.000, 250.000
2025-02-20, -75.000, -45.455, 0.000, -32.000
2025-02-21, -71.429, -85.714, -44.444, -65.217
2025-02-22, NaN, NaN, NaN, NaN
2025-02-23, NaN, NaN, NaN, NaN
2025-02-24, -37.500, -50.000, -90.909, -60.606
2025-02-25, -100.000, -40.000, 66.667, -33.333
2025-02-26, -50.000, -72.727, -30.769, -50.000
2025-02-27, 400.000, -33.333, -70.000, -29.412
2025-02-28, 0.000, 200.000, -40.000, 0.000
2025-03-01, NaN, NaN, NaN, NaN