Canada Class containing origin specific attributes and methods

Information for downloading, cleaning and processing COVID-19 region data for Canada.

Source

https://health-infobase.canada.ca

See also

Subnational data sources Belgium, Brazil, Colombia, Covid19DataHub, Cuba, Estonia, France, Germany, Google, India, Italy, JHU, Lithuania, Mexico, Netherlands, SouthAfrica, Switzerland, UK, USA

Super class

covidregionaldata::DataClass -> Canada

Public fields

origin

name of origin to fetch data for

supported_levels

A list of supported levels.

supported_region_names

A list of region names in order of level.

supported_region_codes

A list of region codes in order of level.

common_data_urls

List of named links to raw data that are common across levels.

source_data_cols

existing columns within the raw data

source_text

Plain text description of the source of the data

source_url

Website address for explanation/introduction of the data

Methods

Public methods

• Canada$set_region_codes()

• Canada$clean_common()

• Canada$clone()

Inherited methods

• covidregionaldata::DataClass$available_regions()

• covidregionaldata::DataClass$clean()

• covidregionaldata::DataClass$download()

• covidregionaldata::DataClass$download_JSON()

• covidregionaldata::DataClass$filter()

• covidregionaldata::DataClass$get()

• covidregionaldata::DataClass$initialize()

• covidregionaldata::DataClass$process()

• covidregionaldata::DataClass$return()

• covidregionaldata::DataClass$summary()

• covidregionaldata::DataClass$test()

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Method set_region_codes()

Set up a table of region codes for clean data

Usage

Canada$set_region_codes()

---

Method clean_common()

Provincial Level Data cleaning

Usage

Canada$clean_common()

Arguments

...

pass additional arguments

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Canada$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (FALSE) {
region <- Canada$new(verbose = TRUE, steps = TRUE, get = TRUE)
region$return()
}