DataPlotly plugin allows to use real data to study the numerical distribution of some variables.
Covid-19 pandemic is unfortunately well known in the whole world. Thanks to ourworldindata.org and the John Hopkins University we have real data to study the pandemic spreading.
After loading the data in QGIS we have 2 layers to work with:
a flat table named covid_table
that contains time data for each country:
we have repetitive rows for each country depending on the data:
a spatial polygon layer that represents the whole world with the columns of
Deaths
, Cases
and the DateTime
of the last available day (a python
script is downloading and shaping the data automatically every day):
We can use the first non spatial table to filter only one single country, e.g.
Italy
with the Feature Subset
button and adding the filter as
"Entity" = 'Italy'
:
We can then check the Show Range Slider
in the Advanced Configuration
tab
to add a nice time range slider to the bottom of the plot:
Finally let's create the first plot of the filtered values of Italy using
DateTime
as X values and Deaths
as Y values. We don't want single points for
each day, to choose Lines
as the Marker Type
:
Now let's overlap on the same plot also the Cases
trend. Just repeat the
previous step changing the Y value to Cases
and changing also the color.
Finally click on Create Plot
:
You will end up with two overlapped plots:
Download the project from our server.