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/la-times.json?p0=2020-01-23&sql=select+rowid%2C+date%2C+doses_administered%2C+new_doses_administered%2C+pfizer_doses%2C+new_pfizer_doses%2C+moderna_doses%2C+new_moderna_doses%2C+jj_doses%2C+new_jj_doses%2C+partially_vaccinated%2C+new_partially_vaccinated%2C+at_least_one_dose%2C+new_at_least_one_dose%2C+fully_vaccinated%2C+new_fully_vaccinated%2C+partially_vaccinated_percent%2C+at_least_one_dose_percent%2C+fully_vaccinated_percent+from+%5Bcdph-vaccination-state-totals%5D+where+date(%22date%22)+%3D+%3Ap0+order+by+new_partially_vaccinated+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?p0=2020-01-23&sql=select+rowid%2C+date%2C+doses_administered%2C+new_doses_administered%2C+pfizer_doses%2C+new_pfizer_doses%2C+moderna_doses%2C+new_moderna_doses%2C+jj_doses%2C+new_jj_doses%2C+partially_vaccinated%2C+new_partially_vaccinated%2C+at_least_one_dose%2C+new_at_least_one_dose%2C+fully_vaccinated%2C+new_fully_vaccinated%2C+partially_vaccinated_percent%2C+at_least_one_dose_percent%2C+fully_vaccinated_percent+from+%5Bcdph-vaccination-state-totals%5D+where+date(%22date%22)+%3D+%3Ap0+order+by+new_partially_vaccinated+limit+101&_shape=array" )