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healthyAddress
View on CRAN: Click
here
Download and install healthyAddress package within the R console
Install from CRAN:
install.packages("healthyAddress")
Install from Github:
library("remotes")
install_github("cran/healthyAddress")
Install by package version:
library("remotes")
install_version("healthyAddress", "0.4.5")
Attach the package and use:
library("healthyAddress")
Maintained by
Hugh Parsonage
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.healthyAddress . https://github.com/HughParsonage/healthyAddress/issues . https://github.com/HughParsonage/healthyAddress . healthyAddress results . healthyAddress.pdf . healthyAddress_0.4.5.tar.gz . healthyAddress_0.4.5.zip . healthyAddress_0.4.5.zip . healthyAddress_0.4.5.zip . healthyAddress_0.4.5.tgz . healthyAddress_0.4.5.tgz . healthyAddress_0.4.5.tgz . healthyAddress_0.4.5.tgz . healthyAddress_0.4.5.tgz . healthyAddress_0.4.5.tgz . healthyAddress archive . https://CRAN.R-project.org/package=healthyAddress .
First Published: 2024-02-07
Latest Update: 2024-02-07
Description:
Efficient tools for parsing and standardizing Australian
addresses from textual data. It utilizes optimized algorithms to accurately identify and
extract components of addresses, such as street names, types, and postcodes, especially
for large batched data in contexts where sending addresses to internet services may be
slow or inappropriate. The core functionality is built on fast string processing techniques
to handle variations in address formats and abbreviations commonly found in Australian
address data. Designed for data scientists, urban planners, and logistics analysts, the
package facilitates the cleaning and normalization of address information, supporting
better data integration and analysis in urban studies, geography, and related fields.
How to cite:
Hugh Parsonage (2024). healthyAddress: Convert Addresses to Standard Inputs. R package version 0.4.5, https://cran.r-project.org/web/packages/healthyAddress. Accessed 10 Apr. 2025.
Previous versions and publish date:
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Other R packages that healthyAddress depends,
imports, suggests or enhances
Complete documentation for healthyAddress
Functions, R codes and Examples using
the healthyAddress R package
Some associated functions: HashStreetName . dot-digit256 . dot-permitted_street_type_ord . extract_flatNumberFirstLast . extract_postcode . healthyAddress-package . match_StreetType . match_word . nany_lowercase . postcode2ste . read_ste_fst . standardize_address . toupper_basic . unique_Postcodes .
Some associated R codes: HashStreetName.R . NumberSuffix2raw.R . anyComma.R . check_address_input.R . concat_upper.R . digit256.R . encode_address.R . extract_flatNumberFirstLast.R . extract_postcode.R . extract_standard_address.R . fillPostcodeStreets.R . followed_by_STE_POSTCODE.R . get_StreetType.R . hasNames.R . has_SaintName.R . healthyAddress-package.R . isPostcode.R . match_StreetType.R . match_word.R . max_nchar.R . multistate_postcodes.R . n_words.R . nany_lowercase.R . postcode2ste.R . read_locality_by_postcode.R . read_ste_fst.R . standardize_address.R . ste_chars.R . street-types.R . the_XXX.R . toupper_basic.R . unique_Postcodes.R . zzz.R . Full healthyAddress package functions and examples
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