# Gemittelte 7-Tage-Faktoren der neuen COVID-19 Infizierten in Hamburg
#
# Version  : 2025-03-09/2304
# 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
2023-04-01, 1.064, 1.228, 1.249, 1.157
2023-04-02, 1.728, 1.678, 1.643, 1.677
2023-04-03, 1.607, 1.470, 1.269, 1.463
2023-04-04, 1.061, 1.083, 0.843, 0.993
2023-04-05, 0.652, 0.803, 0.735, 0.709
2023-04-06, 0.772, 0.855, 0.951, 0.833
2023-04-07, 0.329, 0.496, 0.000, 0.371
2023-04-08, 0.223, 0.391, 0.000, 0.299
2023-04-09, 0.100, 0.000, 0.000, 0.110
2023-04-10, 0.104, 0.000, 0.000, 0.106
2023-04-11, 0.181, 0.000, 0.000, 0.163
2023-04-12, 0.437, 0.305, 0.630, 0.464
2023-04-13, 1.221, 1.241, 1.424, 1.287
2023-04-14, 3.880, 2.404, Infinity, 3.257
2023-04-15, 5.153, 2.358, Infinity, 3.798
2023-04-16, 9.299, Infinity, Infinity, 8.759
2023-04-17, 6.604, Infinity, Infinity, 6.836
2023-04-18, 4.273, Infinity, Infinity, 4.714
2023-04-19, 1.787, 2.027, 1.292, 1.602
2023-04-20, 0.579, 0.610, 0.656, 0.602
2023-04-21, 0.400, 0.428, 0.676, 0.475
2023-04-22, 0.332, 0.000, 0.503, 0.351
2023-04-23, 0.465, 0.000, 0.607, 0.439
2023-04-24, 0.731, 0.000, 0.727, 0.651
2023-04-25, 1.081, 0.961, 0.953, 1.002
2023-04-26, 1.024, 0.971, 0.708, 0.911
2023-04-27, 1.043, 0.849, 0.648, 0.876
2023-04-28, 0.979, 1.032, 0.551, 0.849
2023-04-29, 0.000, Infinity, 0.000, 0.728
2023-04-30, 0.000, Infinity, 0.000, 0.463
2023-05-01, 0.000, NaN, 0.000, 0.148