la_times_cdph_adult_and_senior_care_facilities

Table actions
⚠️ Consult the README for warnings about using and building on this data. Also review Why It’s So Freaking Hard To Make A Good COVID-19 Model and Ten Considerations Before You Create Another Chart About COVID-19.

Data license: Reusing the data · Data source: California Department of Public Health via The Los Angeles Times · About: Data dictionary for la_times_cdph_adult_and_senior_care_facilities

4 rows where county = "Napa" and staff_confirmed_cases = 29 sorted by date descending

✎ View and edit SQL

This data as json, yaml, Notebook, copyable, CSV (advanced)

Suggested facets: date (date)

Link rowid date ▲ name county staff_confirmed_cases patients_confirmed_cases staff_deaths patients_deaths fips staff_confirmed_cases_note patients_confirmed_cases_note staff_deaths_note patients_deaths_note
58021 58021 2021-01-07 Meadows Of Napa Valley, The Napa 29 1 1 0 55   <11 <11  
58890 58890 2021-01-06 Meadows Of Napa Valley, The Napa 29 1 1 0 55   <11 <11  
59746 59746 2021-01-05 Meadows Of Napa Valley, The Napa 29 1 1 0 55   <11 <11  
60590 60590 2021-01-04 Meadows Of Napa Valley, The Napa 29 1 1 0 55   <11 <11  

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

CREATE TABLE [la_times_cdph_adult_and_senior_care_facilities] (
   [date] TEXT,
   [name] TEXT,
   [county] TEXT,
   [staff_confirmed_cases] INTEGER,
   [patients_confirmed_cases] INTEGER,
   [staff_deaths] INTEGER,
   [patients_deaths] INTEGER,
   [fips] INTEGER,
   [staff_confirmed_cases_note] TEXT,
   [patients_confirmed_cases_note] TEXT,
   [staff_deaths_note] TEXT,
   [patients_deaths_note] TEXT
);