Export 1 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 1 row into a DataFrame called df
:
df = pandas.read_json( "https://covid-19.datasettes.com/covid.json?p0=Spain&p1=2020-05-18&p2=Cantabria&sql=select+rowid%2C+day%2C+country_or_region%2C+province_or_state%2C+admin2%2C+fips%2C+confirmed%2C+deaths%2C+recovered%2C+active%2C+latitude%2C+longitude%2C+last_update%2C+combined_key+from+johns_hopkins_csse_daily_reports+where+%22country_or_region%22+%3D+%3Ap0+and+date(%22last_update%22)+%3D+%3Ap1+and+%22province_or_state%22+%3D+%3Ap2+order+by+day+desc+limit+101&_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?p0=Spain&p1=2020-05-18&p2=Cantabria&sql=select+rowid%2C+day%2C+country_or_region%2C+province_or_state%2C+admin2%2C+fips%2C+confirmed%2C+deaths%2C+recovered%2C+active%2C+latitude%2C+longitude%2C+last_update%2C+combined_key+from+johns_hopkins_csse_daily_reports+where+%22country_or_region%22+%3D+%3Ap0+and+date(%22last_update%22)+%3D+%3Ap1+and+%22province_or_state%22+%3D+%3Ap2+order+by+day+desc+limit+101&_shape=array" )