1c3t3a / covid-19-analysis Goto Github PK
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License: MIT License
Analyses and visualizes WHO data of the COVID-19 pandemic.
License: MIT License
Therefore change download_csv_file method in CovidCases.py
to return None
. All other modules need to be changed as well.
The first plot will not show a title and the grid is missing. The second plot is okay.
`
fig, ax = plt.subplots(2, 1, figsize = (12,16))
for axis in ax:
axis.xaxis_date()
mi.plot(ax = ax[0])
plt.yscale('linear')
plt.title('Cummulated cases since 31.12.2019')
plt.grid(True)
mi.plot(ax = ax[1])
plt.yscale('log')
plt.title('Logarithmic cummulated cases since 31.12.2019')
plt.grid(True)
plt.show()`
Actually we have done some work on this that's yet unpublished. The key part would be to find fitting characteristics to group by (our problem was always that non-normalized data always clustered small countries). We used KMeans cluster algorithm, but feel free to suggest another one.
See #64 regarding the REST API
Siehe Daten der WHO
Instead of having a hardcoded list of countries being displayed it would be nice to have a comma separated list of GeoIDs as a input text field in Jupiter. The list should be of any length. The Python file should be also updated to have such a list of countries.
The documentation can be found here: Matplot documentation
The file can be found here: ECDC website
Toe ensure to display axis information when showing results of #29
This might be difficult but an extrapolation would be sufficient
Currently we're using the [ECDC] (https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwid) data. It would be nice to have an interface which adds a level of abstraction to "plug-in" different datasources such as local data sources as listed in the Excel file here.
The Who changed the population numbers from 2018 to 2019 data (June 21st) and also the field name in the JSON file
The Who changed the geoID for the ship in Yokohama from "" to some wired numbers (June 22nd)
This will align the data of different countries based on exceeding the given number of cases. The x axis is no longer a date as the date might be different for the countries. Instead the x axis now shows the number of days
instead of using the REST API through a local server the program could access mb.cmbt.de website alternatively
Should be updated at least once a day
The idea is, to have a Base Interface for all Characteristics that we want to analyze. Concrete characteristics will implement that interface. The plotting part should be done in a separate class so that the notebook ist just using calls to all mentioned classes (adding one layer of abstraction to the project).
See #64
This could be done in a similar way as the C# client. If you would like to use a different library than Qt for this task, feel free.
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