# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Hamburg
#
# 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, NaN, NaN
2025-01-02, Infinity, Infinity, Infinity, Infinity
2025-01-03, -58.333, -50.000, 0.000, -40.000
2025-01-04, NaN, NaN, NaN, NaN
2025-01-05, NaN, NaN, NaN, NaN
2025-01-06, -30.000, 37.500, -62.500, -19.231
2025-01-07, 300.000, Infinity, Infinity, 900.000
2025-01-08, Infinity, Infinity, Infinity, Infinity
2025-01-09, -60.000, -42.857, -63.636, -57.143
2025-01-10, -20.000, -80.000, -62.500, -55.556
2025-01-11, NaN, NaN, NaN, NaN
2025-01-12, NaN, NaN, NaN, NaN
2025-01-13, -14.286, -63.636, 166.667, -14.286
2025-01-14, 0.000, 25.000, 50.000, 20.000
2025-01-15, -75.000, -20.000, 100.000, -30.000
2025-01-16, 75.000, -25.000, 25.000, 25.000
2025-01-17, 125.000, 300.000, 100.000, 137.500
2025-01-18, NaN, NaN, NaN, NaN
2025-01-19, NaN, NaN, NaN, NaN
2025-01-20, 33.333, -75.000, 75.000, 27.778
2025-01-21, 0.000, -100.000, 233.333, 16.667
2025-01-22, 300.000, 25.000, 400.000, 171.429
2025-01-23, -42.857, 0.000, 60.000, 0.000
2025-01-24, -55.556, 0.000, -66.667, -47.368
2025-01-25, NaN, NaN, NaN, NaN
2025-01-26, NaN, NaN, NaN, NaN
2025-01-27, -12.500, 800.000, -21.429, 17.391
2025-01-28, -25.000, Infinity, -50.000, 7.143
2025-01-29, 25.000, 20.000, -70.000, -26.316
2025-01-30, 25.000, 133.333, -50.000, 6.667
2025-01-31, -50.000, -50.000, 150.000, -10.000
2025-02-01, NaN, NaN, NaN, NaN