Export 101 rows to a notebook
You can export this data to a Jupyter or Observable notebook by copying and pasting the following:
Jupyter
Make sure you have Pandas. Import it in a cell like this:
import pandasIf this shows an error you can run
%pip install pandas
in a notebook cell to install it.
Now paste the following into a cell to load the 101 rows into a DataFrame called df
:
df = pandas.read_json( "https://covid-19.datasettes.com/covid.json?sql=select+day%2C+sum(confirmed)%2C+sum(deaths)%2C+sum(recovered)%2C+sum(active)+from+johns_hopkins_csse_daily_reports+where+%22country_or_region%22+%3D+%3Ap0+group+by+day+order+by+day+desc+limit+101&p0=Netherlands&_shape=array" )
Run df
in a new cell to see the table.
Observable
Import the data into a variable called rows
like this:
rows = d3.json( "https://covid-19.datasettes.com/covid.json?sql=select+day%2C+sum(confirmed)%2C+sum(deaths)%2C+sum(recovered)%2C+sum(active)+from+johns_hopkins_csse_daily_reports+where+%22country_or_region%22+%3D+%3Ap0+group+by+day+order+by+day+desc+limit+101&p0=Netherlands&_shape=array" )