Export 59 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 59 rows into a DataFrame called df
:
df = pandas.read_json( "https://covid-19.datasettes.com/la-times.json?sql=select+rowid%2C+county%2C+fips%2C+aian%2C+asian%2C+black%2C+latino%2C+multirace%2C+nhpi%2C+other%2C+unknown%2C+white+from+%5Bcdph-population-race-ethnicity%5D+order+by+white+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/la-times.json?sql=select+rowid%2C+county%2C+fips%2C+aian%2C+asian%2C+black%2C+latino%2C+multirace%2C+nhpi%2C+other%2C+unknown%2C+white+from+%5Bcdph-population-race-ethnicity%5D+order+by+white+limit+101&_shape=array" )