covid19sf_geo: San Francisco COVID-19 Cases and Deaths Summarized by...

In RamiKrispin/covid19sf: The Covid19 San Francisco Dataset

San Francisco COVID-19 Cases and Deaths Summarized by Geography

Description

Medical provider confirmed COVID-19 cases and confirmed COVID-19 related deaths in San Francisco, CA aggregated by several different geographic areas and normalized by 2018 American Community Survey (ACS) 5-year estimates for population data to calculate rate per 10,000 residents. More information about the data available here

Usage

covid19sf_geo

Format

An object class sf and data.frame with 8 variables.

area_type

Area type, c("ZCTA", "Analysis Neighborhood", "Census Tract", "Citywide")

id

area id

count

The count of cases in the area

rate

The rate of cases in the area, calculated as (count/acs_population) * 10000 which is a rate per 10,000 residents

deaths

The number of cases in the area

acs_population

The population from the latest 5-year estimates from the American Community Survey (2014-2018))

last_updated

Last update of the data in POSIXc format)

geometry

The area polygon data)

Details

The dataset contains a summary of covid19 cases in San Francisco by geographic area

Source

San Francisco, Department of Public Health - Population Health Division through San Francisco Opne Data protal website.

Examples

data(covid19sf_geo)

head(covid19sf_geo)

library(sf)
# Ploting SF Covid19 counts using base plot function
plot(covid19sf_geo[which(covid19sf_geo$area_type == "Census Tract"),
                   c("rate", "geometry")],
     main = "Covid19 Cases Rate per 10,000 by Census Tract")

RamiKrispin/covid19sf documentation built on April 3, 2023, 4:11 p.m.