covid_prevalence: Time Series of Covid Prevalence in California Counties

In distantia: Advanced Toolset for Efficient Time Series Dissimilarity Analysis

Time Series of Covid Prevalence in California Counties

Description

Dataset with Covid19 maximum weekly prevalence in California counties between 2020 and 2024, from healthdata.gov.

Usage

data(covid_prevalence)

Format

data frame with 3 columns and 51048 rows

Details

County polygons and additional data for this dataset are in covid_counties.

The full dataset at daily resolution can be downloaded from https://github.com/BlasBenito/distantia/blob/main/data_full/covid_prevalence.rda (use the "Download raw file" button).

See Also

Other example_data: albatross, cities_coordinates, cities_temperature, covid_counties, eemian_coordinates, eemian_pollen, fagus_coordinates, fagus_dynamics, honeycomb_climate, honeycomb_polygons

Examples

#to time series list
tsl <- tsl_initialize(
  x = covid_prevalence,
  name_column = "name",
  time_column = "time"
)

#time series plot
if(interactive()){

 #subset to avoid margin errors
 tsl_plot(
  tsl = tsl_subset(
    tsl = tsl,
    names = 1:4
    ),
  guide = FALSE
  )

}

distantia documentation built on April 4, 2025, 5:42 a.m.