View source: R/postcode_matching.R
match_postcode | R Documentation |
Retrieves Office for National Statistics (ONS) data by postcode and appends it as added columns to an input file. For information on ONS databases see https://geoportal.statistics.gov.uk/datasets/national-statistics-postcode-lookup-february-2020
match_postcode(data, query_column, Index, desired_columns)
data |
data with postcodes for ONS information retrieval |
query_column |
name of column within dt containing postcodes to retrieve as a string |
Index |
index object created using index_postcodes() |
desired_columns |
name of ONS columns to retrieve. Default is "all"; note this excludes 2019 utla and ltla "stp19", "ccg19" geographies which are retrieved from a different database. For UTLA and LTLA "utla", "ltla" can be listed and the 2019 geographies (names and codes) will be retrieved based on the database "laua" from https://geoportal.statistics.gov.uk/datasets/lower-tier-local-authority-to-upper-tier-local-authority-april-2019-lookup-in-england-and-wales (2019 version). For the 2020 STP and CCGs lsoa11, "stp20", "ccg20" can be listed and the 2020 geographies (names and codes) will be retrieved based on the database "lsoa11" from https://geoportal.statistics.gov.uk/datasets/lsoa-2011-to-clinical-commissioning-groups-to-sustainability-and-transformation-partnerships-april-2020-lookup-in-england/data . Herefordshire CCG name is updated as per https://digital.nhs.uk/services/organisation-data-service/change-summary—stp-reconfiguration For PHEC or PHER assign c("laua", "PHEC19CD", "PHEREG19CD") to desired_columns or c("all", "PHEC19CD", "PHEREG19CD"). |
Returns the original dt object as a data.frame with added columns of ONS data
Diane Hatziioanou
# Index <- fread(file.path("C:/.../NSPL_FEB_2019_UK/Data/Index.csv"))
# data_with_ONS <- match_postcode(data, "Postcode", Index, "all")
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