Export 6 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 6 rows into a DataFrame called df
:
df = pandas.read_json( "https://covid-19.datasettes.com/covid.json?p0=Norway&p1=1&sql=select+rowid%2C+country%2C+region%2C+region_code%2C+start_date%2C+end_date%2C+days%2C+year%2C+week%2C+population%2C+total_deaths%2C+covid_deaths%2C+expected_deaths%2C+cadence%2C+month+from+economist_historical_deaths+where+%22country%22+%3D+%3Ap0+and+%22covid_deaths%22+%3D+%3Ap1+order+by+region_code+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=Norway&p1=1&sql=select+rowid%2C+country%2C+region%2C+region_code%2C+start_date%2C+end_date%2C+days%2C+year%2C+week%2C+population%2C+total_deaths%2C+covid_deaths%2C+expected_deaths%2C+cadence%2C+month+from+economist_historical_deaths+where+%22country%22+%3D+%3Ap0+and+%22covid_deaths%22+%3D+%3Ap1+order+by+region_code+limit+101&_shape=array" )