Export 2 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 2 rows into a DataFrame called df:
df = pandas.read_json(
"https://covid-19.datasettes.com/covid/ny_times_us_counties.json?_trace=1&_facet_size=3&_size=2&_sort=state&_shape=array"
)
Run df in a new cell to see the table.
You can export all 2,502,832 rows using a single streaming CSV export like this:
df = pandas.read_csv(
"https://covid-19.datasettes.com/covid/ny_times_us_counties.csv?_trace=1&_facet_size=3&_size=2&_sort=state&_stream=on", dtype={
"rowid": int,
"fips": int,
"cases": int,
"deaths": int,
})
Observable
Import the data into a variable called rows like this:
rows = d3.json( "https://covid-19.datasettes.com/covid/ny_times_us_counties.json?_trace=1&_facet_size=3&_size=2&_sort=state&_shape=array" )
You can export all 2,502,832 rows using a single streaming CSV export like this:
rows = d3.csv( "https://covid-19.datasettes.com/covid/ny_times_us_counties.csv?_trace=1&_facet_size=3&_size=2&_sort=state&_stream=on", d3.autoType )