Export 793 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 793 rows into a DataFrame called df
:
df = pandas.read_json( "https://covid-19.datasettes.com/covid.json?p0=Greene&p1=Missouri&sql=select+*+from+ny_times_us_counties%0D%0Awhere+state+%3D+'Missouri'+and+county+%3D+'Greene'&_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=Greene&p1=Missouri&sql=select+*+from+ny_times_us_counties%0D%0Awhere+state+%3D+'Missouri'+and+county+%3D+'Greene'&_shape=array" )