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2020-04-26: separating expert plots and regular plots, fixed row chan…
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…ge at data of RKI
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koepferl committed Apr 28, 2020
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29 changes: 29 additions & 0 deletions Documentation_COVID19_Local.ipynb
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" Almost all counties move steep downwards (less infections every day) this means people are recovering faster than new once are becoming infected. This is good, our health system does not break down.\n",
"\n",
"\n",
"### Dataset downloaded 2020-04-28\n",
"\n",
"* DT evolution https://github.com/koepferl/COVID19Dahoam/blob/master/DT_Bavaria.pdf: \n",
" Most counties have now higher doubling times, isolation works. Stay put.\n",
" \n",
" * Bavaria with 67.58 d:\n",
" * 5 counties with lowest DTS (the larger the better):\n",
" * 15.26 27.4 LK Kitzingen\n",
" * 21.67 25.4 SK Rosenheim\n",
" * 21.93 27.4 LK Rhoen-Grabfeld\n",
" * 22.24 27.4 LK Passau\n",
" * 23.20 26.4 SK Ansbach\n",
" * 5 counties with highest DTs (the larger the better):\n",
" * 162.99 27.4 LK Tirschenreuth\n",
" * 177.11 27.4 LK Weilheim-Schongau\n",
" * 187.67 27.4 LK Miesbach\n",
" * 192.55 27.4 LK Rottal-Inn\n",
" * 206.24 27.4 LK Cham\n",
"\n",
"* Semi-log plots https://github.com/koepferl/COVID19Dahoam/tree/master/plots: \n",
"\n",
" Counties with still very low DTs show also no flattening; with high DT almost a horizontal trend.\n",
" \n",
" Quite interesting. For some counties there are small \"easter dents\" roughly one week after easter. Apparently the disciplin was not as high around easter. I am worried about now, were even more is possible. I hope it does not get too bad, although I am expecting it - actually.\n",
"\n",
" \n",
"* loglog plot https://github.com/koepferl/COVID19Dahoam/blob/master/loglog_Bavaria.pdf\n",
" Almost all counties move steep downwards (less infections every day) this means people are recovering faster than new once are becoming infected. This is good, our health system does not break down.\n",
"\n",
"\n",
"\n",
" \n",
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" Kreise mit sehr niedrigen DTs werden nicht/kaum flacher; mit sehr großen DTs ist der Verlauf fast horizontal. \n",
" \n",
" Ganz interessant, bei einigen Landkreisen gibt es einen kleinen “Osterhaken\" ungefähr eine Woche nach Ostern. Da war die Disziplin wohl nicht ganz so strickt. Ich hoffe des wird jetzt (wo noch mehr erlaubt) nicht wieder zu schlimm. Obwohl ich es eigentlich erwarte.\n",
"\n",
"\n",
"### Datendownload 2020-04-26\n",
"\n",
"* DT Entwicklung https://github.com/koepferl/COVID19Dahoam/blob/master/DT_Bavaria.pdf: \n",
" Die meisten Kreise haben höhere Verdopplungszeiten, Isolation funktioniert. Bleibt dahoam, auf Abstand oder tragt Masken.\n",
" * Bayern mit 67.58 Tage:\n",
" * 5 Kreise mit den niedriger Verdopplungszeiten (umso groesser desto besser):\n",
" * 15.26 27.4 LK Kitzingen\n",
" * 21.67 25.4 SK Rosenheim\n",
" * 21.93 27.4 LK Rhoen-Grabfeld\n",
" * 22.24 27.4 LK Passau\n",
" * 23.20 26.4 SK Ansbach\n",
" * 5 Kreise mit den hoechsten Verdopplungszeiten (umso groesser desto besser):\n",
" * 162.99 27.4 LK Tirschenreuth\n",
" * 177.11 27.4 LK Weilheim-Schongau\n",
" * 187.67 27.4 LK Miesbach\n",
" * 192.55 27.4 LK Rottal-Inn\n",
" * 206.24 27.4 LK Cham\n",
"\n",
"* Semi-log plots https://github.com/koepferl/COVID19Dahoam/tree/master/plots: \n",
"\n",
" Kreise mit sehr niedrigen DTs werden nicht/kaum flacher; mit sehr großen DTs ist der Verlauf fast horizontal. \n",
" \n",
" Ganz interessant, bei einigen Landkreisen gibt es einen kleinen “Osterhaken\" ungefähr eine Woche nach Ostern. Da war die Disziplin wohl nicht ganz so strickt. Ich hoffe des wird jetzt (wo noch mehr erlaubt) nicht wieder zu schlimm. Obwohl ich es eigentlich erwarte.\n",
"\n",
"\n",
" \n",
"* loglog plot https://github.com/koepferl/COVID19Dahoam/blob/master/loglog_Bavaria.pdf: \n",
"\n",
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import numpy as np

date = '2020-04-26'
date = '2020-04-28'

# County ID for Bavaria - Landkreis ID fuer Bayern
LK_ID = np.array(['09771', '09171', '09371', '09571', '09671', '09772', '09672',
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# loop over all counties - Ausfuehren fuer alle Landkreise
for lkid in LK_ID:
if True:#if lkid == '09162': # ## to check only one county - nur fuer einen Landkreis
if True:#if lkid == '09182':## # ## to check only one county - nur fuer einen Landkreis

# load from specific csv file
num, day, month, name, LK_ids, state = load_RKI('data_RKI/RKI_COVID19_Bayern_' + date + '.csv', lkid, state_name='Bavaria')
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