# Prozentuale Aenderungen der Einzelwerte gegenueber Vorwoche der neuen COVID-19 Infizierten in Berlin
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# Version  : 2025-03-09/2303
# 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
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# Datum, Alter bis 59, Alter 60 bis 79, Alter ab 80, Gesamt
2023-03-01, 7.494, -8.537, 4.651, 4.883
2023-03-02, -35.958, -25.287, -37.778, -33.723
2023-03-03, -64.324, -62.500, -33.333, -61.905
2023-03-04, 300.000, Infinity, -66.667, 200.000
2023-03-05, 300.000, 300.000, 200.000, 266.667
2023-03-06, -58.206, -39.098, -29.114, -51.696
2023-03-07, -56.983, -41.346, 10.000, -49.783
2023-03-08, -100.000, -100.000, -100.000, -100.000
2023-03-09, 27.869, 63.077, 232.143, 50.294
2023-03-10, 78.030, 96.667, 150.000, 89.674
2023-03-11, 25.000, -20.000, 200.000, 22.222
2023-03-12, -50.000, 25.000, -33.333, -18.182
2023-03-13, 30.594, 54.321, 110.714, 49.157
2023-03-14, 22.078, 57.377, 21.818, 28.818
2023-03-15, Infinity, Infinity, Infinity, Infinity
2023-03-16, -32.692, -22.642, -33.333, -30.724
2023-03-17, -14.043, 11.864, 23.636, -3.725
2023-03-18, -100.000, -100.000, -100.000, -100.000
2023-03-19, -100.000, -100.000, -100.000, -100.000
2023-03-20, -2.448, 0.000, 20.339, 2.825
2023-03-21, -13.830, -6.250, 38.806, -4.698
2023-03-22, 12.727, -10.000, 0.000, 4.305
2023-03-23, -18.571, -4.878, 9.677, -10.452
2023-03-24, -24.257, 19.697, -22.059, -15.179
2023-03-25, Infinity, Infinity, NaN, Infinity
2023-03-26, Infinity, Infinity, Infinity, Infinity
2023-03-27, -32.258, -12.800, -30.282, -27.106
2023-03-28, -33.745, -33.333, -31.183, -31.925
2023-03-29, -43.011, -12.500, 10.526, -25.397
2023-03-30, -41.520, -37.179, -41.176, -40.379
2023-03-31, -57.516, -59.494, -30.189, -52.982
2023-04-01, -100.000, -100.000, NaN, -100.000