Description Super class Public fields Methods Source See Also Examples
Information for downloading, cleaning and processing COVID-19 region data for Brazil.
Data available on Github, curated by Wesley Cota: DOI 10.1590/SciELOPreprints.362
covidregionaldata::DataClass
-> Brazil
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. Data is available at the city level and is aggregated to provide state data.
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
set_region_codes()
Set up a table of region codes for clean data
Brazil$set_region_codes()
clean_common()
Common data cleaning for both levels
Brazil$clean_common()
clean_level_1()
State Level Data Cleaning
Brazil$clean_level_1()
clean_level_2()
City Level Data Cleaning
Brazil$clean_level_2()
clone()
The objects of this class are cloneable with this method.
Brazil$clone(deep = FALSE)
deep
Whether to make a deep clone.
https://github.com/wcota/covid19br
Subnational data sources
Belgium
,
Canada
,
Colombia
,
Covid19DataHub
,
Cuba
,
Estonia
,
France
,
Germany
,
Google
,
India
,
Italy
,
JHU
,
Lithuania
,
Mexico
,
Netherlands
,
SouthAfrica
,
Switzerland
,
UK
,
USA
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