Description Super class Public fields Methods Source See Also Examples
Information for downloading, cleaning and processing COVID-19 region data for France.
covidregionaldata::DataClass
-> France
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.
level_data_urls
List of named links to raw data that are level specific.
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
France$set_region_codes()
clean_level_1()
Region Level Data Cleaning
France$clean_level_1()
clean_level_2()
Department Level Data Cleaning
France$clean_level_2()
clone()
The objects of this class are cloneable with this method.
France$clone(deep = FALSE)
deep
Whether to make a deep clone.
https://www.data.gouv.fr/fr/datasets/r/406c6a23-e283-4300-9484-54e78c8ae675
https://www.data.gouv.fr/fr/datasets/r/6fadff46-9efd-4c53-942a-54aca783c30c
https://www.data.gouv.fr/fr/datasets/r/001aca18-df6a-45c8-89e6-f82d689e6c01
Subnational data sources
Belgium
,
Brazil
,
Canada
,
Colombia
,
Covid19DataHub
,
Cuba
,
Estonia
,
Germany
,
Google
,
India
,
Italy
,
JHU
,
Lithuania
,
Mexico
,
Netherlands
,
SouthAfrica
,
Switzerland
,
UK
,
USA
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