The goal of {uklr} is to access data from HM Land Registry Open Data http://landregistry.data.gov.uk/ through SPARQL queries. {uklr} supports the UK HPI, Transaction Data and Price Paid Data.
Installation
Install release version from CRAN
install.packages("uklr")You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("kvasilopoulos/uklr")If you encounter a clear bug, please file a reproducible example on GitHub.
Example
library(uklr)
ukhp_get(region = "newport", start_date = "2019-01-01")
#> # A tibble: 27 x 3
#> region date housePriceIndex
#> <fct> <date> <dbl>
#> 1 newport 2019-01-01 129.
#> 2 newport 2019-02-01 130.
#> 3 newport 2019-03-01 131.
#> 4 newport 2019-04-01 132.
#> 5 newport 2019-05-01 132.
#> 6 newport 2019-06-01 132.
#> 7 newport 2019-07-01 134.
#> 8 newport 2019-08-01 134.
#> 9 newport 2019-09-01 134.
#> 10 newport 2019-10-01 133.
#> # ... with 17 more rows
ukppd_get(postcode = "PL6 8RU", start_date = "2015-01-01")
#> # A tibble: 7 x 4
#> postcode amount date category
#> <chr> <dbl> <date> <chr>
#> 1 PL6 8RU 202500 2015-06-29 Standard price paid transaction
#> 2 PL6 8RU 195000 2016-07-08 Standard price paid transaction
#> 3 PL6 8RU 207000 2018-03-29 Standard price paid transaction
#> 4 PL6 8RU 245000 2016-08-19 Standard price paid transaction
#> 5 PL6 8RU 255000 2016-09-07 Standard price paid transaction
#> 6 PL6 8RU 280000 2017-10-02 Standard price paid transaction
#> 7 PL6 8RU 205000 2018-09-07 Standard price paid transaction
uktrans_get(item = "totalApplicationCountByRegion", region = "East Anglia")
#> # A tibble: 112 x 3
#> region date totalApplicationCountByRegion
#> <chr> <date> <dbl>
#> 1 East Anglia 2011-12-01 37819
#> 2 East Anglia 2012-01-01 44231
#> 3 East Anglia 2012-02-01 44453
#> 4 East Anglia 2012-03-01 46814
#> 5 East Anglia 2012-04-01 40693
#> 6 East Anglia 2012-05-01 47885
#> 7 East Anglia 2012-06-01 39506
#> 8 East Anglia 2012-07-01 46539
#> 9 East Anglia 2012-08-01 45942
#> 10 East Anglia 2012-09-01 41976
#> # ... with 102 more rows
