Description Super class Public fields Methods Source See Also Examples
Information for downloading, cleaning and processing COVID-19 region data for Colombia
covidregionaldata::DataClass
-> Colombia
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.
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
Colombia$set_region_codes()
download()
Colombia specific download using Socrata API
This uses the RSocrata
package if it is installed or downloads
a much larger csv file if that package is not available.
Colombia$download()
clean_common()
Colombia specific data cleaning
Colombia$clean_common()
clean_level_1()
Colombia Specific Department Level Data Cleaning
Aggregates data to the level 1 (department) regional level. Data is provided by the source at the level 2 (municipality) regional level.
Colombia$clean_level_1()
clone()
The objects of this class are cloneable with this method.
Colombia$clone(deep = FALSE)
deep
Whether to make a deep clone.
https://www.datos.gov.co/Salud-y-Protecci-n-Social/Casos-positivos-de-COVID-19-en-Colombia/gt2j-8ykr
Subnational data sources
Belgium
,
Brazil
,
Canada
,
Covid19DataHub
,
Cuba
,
Estonia
,
France
,
Germany
,
Google
,
India
,
Italy
,
JHU
,
Lithuania
,
Mexico
,
Netherlands
,
SouthAfrica
,
Switzerland
,
UK
,
USA
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