Package: glitter 0.2.999

Lise Vaudor

glitter: glitter makes SPARQL

This package aims at writing and sending SPARQL queries. It makes the exploration and use of Linked Open Data (Wikidata in particular) easier for those who do not know SPARQL.

Authors:Lise Vaudor [aut, cre], Maëlle Salmon [aut]

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glitter.pdf |glitter.html✨
glitter/json (API)

# Install 'glitter' in R:
install.packages('glitter', repos = c('https://ar-puuk.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lvaudor/glitter/issues

Pkgdown site:https://lvaudor.github.io

Datasets:
  • all_correspondences - Correspondence between R-DSL functions and SPARQL functions/operators.
  • datetime_functions - Correspondence between R-DSL functions and SPARQL functions/operators.
  • misc_functions - Correspondence between R-DSL functions and SPARQL functions/operators.
  • numeric_functions - Correspondence between R-DSL functions and SPARQL functions/operators.
  • operators - Correspondence between R-DSL functions and SPARQL functions/operators.
  • set_functions - Correspondence between R-DSL functions and SPARQL functions/operators.
  • string_functions - Correspondence between R-DSL functions and SPARQL functions/operators.
  • term_functions - Correspondence between R-DSL functions and SPARQL functions/operators.
  • usual_endpoints - Usual endpoints: this dataset allows the user to refer to them using a simplified name rather than their full url.
  • usual_prefixes - Usual prefixes: this dataset allows the user to refer to usual prefixes in their queries without manually specifying the associated urls.
  • wd_properties - Wikidata properties

On CRAN:

Conda:

rstatsparql

4.12 score 47 stars 28 scripts 25 exports 28 dependencies

Last updated 1 years agofrom:b7e7d51e90. Checks:1 OK, 7 ERROR. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 02 2025
R-4.5-winERRORMar 02 2025
R-4.5-macERRORMar 02 2025
R-4.5-linuxERRORMar 02 2025
R-4.4-winERRORMar 02 2025
R-4.4-macERRORMar 02 2025
R-4.3-winERRORMar 02 2025
R-4.3-macERRORMar 02 2025

Exports:%>%as.spqis.spqspqspq_addspq_arrangespq_assemblespq_control_requestspq_countspq_endpoint_infospq_filterspq_group_byspq_headspq_initspq_labelspq_languagespq_mutatespq_offsetspq_performspq_prefixspq_selectspq_setspq_summarisespq_summarizespq_tally

Dependencies:anytimeaskpassBHclicurldplyrfansigenericsgluehttr2lifecyclemagrittropensslpillarpkgconfigpurrrR6rappdirsRcpprlangsystibbletidyselectutf8vctrswithrxml2xmlparsedata

Readme and manuals

Help Manual

Help pageTopics
Correspondence between R-DSL functions and SPARQL functions/operators.all_correspondences datetime_functions misc_functions numeric_functions operators set_functions string_functions term_functions
SPARQL escaping.as.spq is.spq spq
Add a triple pattern statement to a queryspq_add
Arrange results by variable valuespq_arrange
Assemble query parts into a proper SPARQL queryspq_assemble
Create the request control object for 'spq_init()'spq_control_request
Create the endpoint info object for 'spq_init()'spq_endpoint_info
Filters results by adding conditionsspq_filter
Group the results by one or more variablesspq_group_by
Return the first lines of resultsspq_head
Initialize a query object.spq_init
Label variablesspq_label
Create and modify variables in the resultsspq_mutate
Offset the first generated resultspq_offset
Assemble query parts into a sparql query and send it to endpoint to get a tibble as a result.spq_perform
Add prefixes to the queryspq_prefix
Select (and create) particular variablesspq_select
Set helper values for the queryspq_set
Summarise each group of results to fewer resultsspq_summarise spq_summarize
Count the observationsspq_count spq_tally
Usual endpoints: this dataset allows the user to refer to them using a simplified name rather than their full url.usual_endpoints
Usual prefixes: this dataset allows the user to refer to usual prefixes in their queries without manually specifying the associated urls.usual_prefixes
Wikidata propertieswd_properties