# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Meckl.-Vorpom.
#
# 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, 100.000, 600.000
2025-01-02, Infinity, Infinity, 275.000, 1200.000
2025-01-03, -33.333, 23.077, -72.222, -32.500
2025-01-04, 0.000, 0.000, NaN, 0.000
2025-01-05, NaN, -100.000, NaN, -100.000
2025-01-06, 300.000, 0.000, -11.765, 32.258
2025-01-07, 350.000, 500.000, 700.000, 475.000
2025-01-08, Infinity, 180.000, 100.000, 300.000
2025-01-09, -50.000, -71.429, -93.333, -71.154
2025-01-10, -33.333, -75.000, -20.000, -55.556
2025-01-11, -100.000, 0.000, NaN, -50.000
2025-01-12, NaN, NaN, NaN, NaN
2025-01-13, -37.500, -10.000, -20.000, -24.390
2025-01-14, -55.556, -33.333, -37.500, -43.478
2025-01-15, -20.000, -57.143, 50.000, -28.571
2025-01-16, 12.500, -33.333, 500.000, 26.667
2025-01-17, 175.000, 50.000, 75.000, 100.000
2025-01-18, NaN, 0.000, NaN, 0.000
2025-01-19, NaN, NaN, NaN, NaN
2025-01-20, 60.000, -33.333, -50.000, -9.677
2025-01-21, -25.000, 100.000, 40.000, 38.462
2025-01-22, 25.000, -16.667, -33.333, -5.000
2025-01-23, -11.111, 50.000, -16.667, 0.000
2025-01-24, -45.455, -50.000, -42.857, -45.833
2025-01-25, NaN, -100.000, NaN, -100.000
2025-01-26, NaN, NaN, NaN, NaN
2025-01-27, -50.000, 16.667, -33.333, -32.143
2025-01-28, 133.333, -50.000, -42.857, -11.111
2025-01-29, 60.000, 20.000, 100.000, 57.895
2025-01-30, -25.000, -16.667, -20.000, -21.053
2025-01-31, 50.000, 0.000, 50.000, 38.462
2025-02-01, NaN, NaN, NaN, NaN