# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Bremen
#
# Version  : 2025-03-09/2301
# 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
2023-01-01, NaN, NaN, NaN, NaN
2023-01-02, 13550.000, Infinity, Infinity, 20900.000
2023-01-03, -37.991, -63.277, -73.267, -48.913
2023-01-04, -46.207, -57.233, -24.000, -47.205
2023-01-05, -39.683, -55.556, -75.000, -46.154
2023-01-06, -35.714, -10.417, -43.243, -32.210
2023-01-07, Infinity, Infinity, Infinity, Infinity
2023-01-08, NaN, NaN, NaN, NaN
2023-01-09, -45.788, -29.885, -55.000, -43.810
2023-01-10, -33.099, -38.462, -18.519, -32.979
2023-01-11, -46.154, -41.176, -50.000, -45.588
2023-01-12, -50.000, -17.857, 33.333, -41.270
2023-01-13, -65.812, -67.442, -80.952, -67.956
2023-01-14, -100.000, -100.000, -66.667, -96.970
2023-01-15, Infinity, NaN, NaN, Infinity
2023-01-16, -35.811, -55.738, 7.407, -36.017
2023-01-17, -32.105, -35.000, -54.545, -34.524
2023-01-18, -50.794, -77.500, -89.474, -60.541
2023-01-19, -3.947, -52.174, -50.000, -18.919
2023-01-20, 2.500, -35.714, -50.000, -10.345
2023-01-21, NaN, NaN, -100.000, -100.000
2023-01-22, -100.000, NaN, NaN, -100.000
2023-01-23, 41.053, -29.630, -72.414, 6.623
2023-01-24, -4.651, -38.462, 0.000, -9.697
2023-01-25, 59.677, 55.556, 350.000, 67.123
2023-01-26, -13.699, -18.182, -100.000, -20.000
2023-01-27, -12.195, 44.444, 350.000, 11.538
2023-01-28, NaN, NaN, NaN, NaN
2023-01-29, Infinity, NaN, NaN, Infinity
2023-01-30, -2.239, 36.842, 275.000, 16.149
2023-01-31, 25.203, 100.000, 80.000, 36.913
2023-02-01, -12.121, 7.143, 11.111, -8.197