| Title: | Tidy Tibbles of Noegletal |
|---|---|
| Description: | Work with data from <https://noegletal.dk> in a tidy manner. Tidy up previously downloaded data or retrieve new data directly from the comfort of R. You can also browse an up-to-date list of available data, including thorough variable descriptions. |
| Authors: | Frederik Larsen [aut, cre, cph] |
| Maintainer: | Frederik Larsen <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 0.2.0 |
| Built: | 2025-03-12 04:14:23 UTC |
| Source: | https://github.com/frlars21/noegletalr |
Get data from noegletal.dk
noegletal_get( muni_codes = ALLOWED_MUNI_CODES, years = ALLOWED_YEARS, variable_ids )noegletal_get( muni_codes = ALLOWED_MUNI_CODES, years = ALLOWED_YEARS, variable_ids )
muni_codes |
Vector of municipality codes |
years |
Vector of years |
variable_ids |
Vector of variable IDs |
Tidy tibble::tibble() with requested data
noegletal_get(muni_codes = c(101, 155), years = 2018:2024, variable_ids = c(001))noegletal_get(muni_codes = c(101, 155), years = 2018:2024, variable_ids = c(001))
noegletal_tidy takes as input a csv-file downloaded from noegletal.dk and
parses it into a tidy tibble::tibble(). This tibble::tibble() has one row
for each municipality-year, a muni_code column, a year column and a
column for each variable (as selected on noegletal.dk).
As per the noegletal.dk documentation, cells with a dash - as a value is
converted to a 0, while cells with a value of M or U is converted to
NA, since these represent missing values.
noegletal_tidy(file)noegletal_tidy(file)
file |
Path to a csv file downloaded from noegletal.dk. |
A tidy tibble::tibble() with one row for each municipality-year,
and one column for each included variable (nøgletal).
path_to_file <- system.file("extdata", "nwRap-10Sep2024-101803.csv", package = "noegletalR", mustWork = TRUE) noegletal_tidy(file = path_to_file)path_to_file <- system.file("extdata", "nwRap-10Sep2024-101803.csv", package = "noegletalR", mustWork = TRUE) noegletal_tidy(file = path_to_file)
When called, noegletal_vars() will go to 'nøgletal.dk' to retrieve an
updated list of available variables (nøgletal) including their definitions
and return this data as a tibble::tibble() with a row for each variable and
three columns: 'variable_id', 'variable_name', 'variable_definition'.
The primary use of the function is to get the ID's for the variables that a
user wishes to retrieve with the noegletal_get() function.
Additionally, the function is also useful for probing potential variables
(including their definitions) that might be of interest for analysis.
A useful way to browse the list is to run the following code from the RStudio
console View(noegletalR::noegletal_vars()) which will open the interactive
data viewer in RStudio.
Since the list of variables is retrieved anew on every call,
noegletal_vars() can only be executed when connected to the internet.
Response caching is on the development roadmap for the noegletalR package,
but is not implemented yet and does come with its own set of challenges.
noegletal_vars()noegletal_vars()
A tibble::tibble() where each row is a variable and the columns are
'variable_id', 'variable_name' and 'variable_definition'.
noegletal_vars()noegletal_vars()