# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Bremen
#
# Version  : 2025-04-26/Limit
# 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
2025-03-25, NaN, NaN, NaN, NaN
2025-03-26, NaN, NaN, NaN, NaN
2025-03-27, Infinity, -100.000, Infinity, 100.000
2025-03-28, -100.000, NaN, -100.000, -100.000
2025-03-29, NaN, NaN, NaN, NaN
2025-03-30, NaN, NaN, NaN, NaN
2025-03-31, -100.000, NaN, NaN, -100.000
2025-04-01, Infinity, NaN, Infinity, Infinity
2025-04-02, NaN, NaN, NaN, NaN
2025-04-03, -100.000, NaN, 0.000, -50.000
2025-04-04, NaN, NaN, NaN, NaN
2025-04-05, NaN, NaN, NaN, NaN
2025-04-06, NaN, NaN, NaN, NaN
2025-04-07, Infinity, NaN, NaN, Infinity
2025-04-08, -100.000, NaN, 0.000, -50.000
2025-04-09, NaN, NaN, NaN, NaN
2025-04-10, NaN, NaN, -100.000, -100.000
2025-04-11, NaN, NaN, NaN, NaN
2025-04-12, NaN, NaN, NaN, NaN
2025-04-13, NaN, NaN, NaN, NaN
2025-04-14, 0.000, Infinity, NaN, 200.000
2025-04-15, NaN, NaN, -100.000, -100.000
2025-04-16, NaN, NaN, Infinity, Infinity
2025-04-17, NaN, NaN, Infinity, Infinity
2025-04-18, NaN, NaN, NaN, NaN
2025-04-19, NaN, NaN, NaN, NaN
2025-04-20, NaN, NaN, NaN, NaN
2025-04-21, -100.000, -100.000, NaN, -100.000
2025-04-22, NaN, NaN, NaN, NaN