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Grep Datasets Titles from Eurostat

Source: R/search_eurostat.R
search_eurostat.Rd

Lists names of dataset from eurostat with the particular pattern in the description.

Usage

search_eurostat(pattern, type = "dataset", fixed = TRUE)

grepEurostatTOC(pattern, type = "dataset")

Arguments

pattern

Character, datasets, folder or tables with this pattern in the description will be returned (depending on the 'type' argument)

type

Grep the Eurostat table of contents either for 'dataset' (default), 'folder', 'table' or "all" (for all types).

fixed

logical. If TRUE, pattern is a string to be matched as is. Change to FALSE if more complex regex matching is needed.

Value

A tibble with eight columns

  • title: The name of dataset of theme

    • code: The codename of dataset of theme, will be used by the get_eurostat() and get_eurostat_raw() functions.

    • type: Is it a dataset, folder or table.

    • last.update.of.data, last.table.structure.change, data.start, data.end: Dates.

Details

Downloads list of all datasets available on eurostat and return list of names of datasets that contains particular pattern in the dataset description. E.g. all datasets related to education of teaching.

Functions

  • grepEurostatTOC(): Old deprecated version

References

See citation("eurostat"):

# 
# Kindly cite the eurostat R package as follows:
# 
#   (C) Leo Lahti, Janne Huovari, Markus Kainu, Przemyslaw Biecek.
#   Retrieval and analysis of Eurostat open data with the eurostat
#   package. R Journal 9(1):385-392, 2017. doi: 10.32614/RJ-2017-019
#   Package URL: http://ropengov.github.io/eurostat Article URL:
#   https://journal.r-project.org/archive/2017/RJ-2017-019/index.html
# 
# A BibTeX entry for LaTeX users is
# 
#   @Article{,
#     title = {Retrieval and Analysis of Eurostat Open Data with the eurostat Package},
#     author = {Leo Lahti and Janne Huovari and Markus Kainu and Przemyslaw Biecek},
#     journal = {The R Journal},
#     volume = {9},
#     number = {1},
#     pages = {385--392},
#     year = {2017},
#     doi = {10.32614/RJ-2017-019},
#     url = {https://doi.org/10.32614/RJ-2017-019},
#   }

See also

get_eurostat(), get_eurostat_toc()

Author

Przemyslaw Biecek and Leo Lahti ropengov-forum@googlegroups.com

Examples

# \donttest{
tmp <- search_eurostat("education")
head(tmp)
#> # A tibble: 6 × 8
#>   title    code  type  `last update of data` last table structure…¹ `data start`
#>   <chr>    <chr> <chr> <chr>                 <chr>                  <chr>       
#> 1 Populat… cens… data… 01.04.2019            08.02.2021             2011        
#> 2 Populat… cens… data… 26.08.2015            08.02.2021             2011        
#> 3 Employe… cens… data… 26.03.2009            08.02.2021             2001        
#> 4 Populat… cens… data… 26.03.2009            08.02.2021             2001        
#> 5 Pupils … educ… data… 07.07.2023            07.07.2023             2013        
#> 6 Pupils … educ… data… 07.07.2023            07.07.2023             2013        
#> # ℹ abbreviated name: ¹​`last table structure change`
#> # ℹ 2 more variables: `data end` <chr>, values <chr>
# Use "fixed = TRUE" when pattern has characters that would need escaping.
# Here, parentheses would normally need to be escaped in regex
tmp <- search_eurostat("Live births (total) by NUTS 3 region", fixed = TRUE)
# }