Data table via SPARQL

Reportnet deliveries per year in totals

Data table via SPARQL Published 05 Jul 2012 Last modified 29 Aug 2020

Data visualisations

Menu

Download this dataset

Formats suitable for human consumption

HTML CSV TSV

Formats suitable for machine-to-machine communication

JSON Exhibit JSON XML XML with Schema

Dataset preview

(Live Query)

year_label	year	count
"2000"	"2000"^^<http://www.w3.org/2001/XMLSchema#int>	"4"^^<http://www.w3.org/2001/XMLSchema#int>
"2001"	"2001"^^<http://www.w3.org/2001/XMLSchema#int>	"5"^^<http://www.w3.org/2001/XMLSchema#int>
"2002"	"2002"^^<http://www.w3.org/2001/XMLSchema#int>	"94"^^<http://www.w3.org/2001/XMLSchema#int>
"2003"	"2003"^^<http://www.w3.org/2001/XMLSchema#int>	"311"^^<http://www.w3.org/2001/XMLSchema#int>
"2004"	"2004"^^<http://www.w3.org/2001/XMLSchema#int>	"555"^^<http://www.w3.org/2001/XMLSchema#int>
"2005"	"2005"^^<http://www.w3.org/2001/XMLSchema#int>	"754"^^<http://www.w3.org/2001/XMLSchema#int>
"2006"	"2006"^^<http://www.w3.org/2001/XMLSchema#int>	"955"^^<http://www.w3.org/2001/XMLSchema#int>
"2007"	"2007"^^<http://www.w3.org/2001/XMLSchema#int>	"1166"^^<http://www.w3.org/2001/XMLSchema#int>
"2008"	"2008"^^<http://www.w3.org/2001/XMLSchema#int>	"1168"^^<http://www.w3.org/2001/XMLSchema#int>
"2009"	"2009"^^<http://www.w3.org/2001/XMLSchema#int>	"1720"^^<http://www.w3.org/2001/XMLSchema#int>

Received 21 rows in 0.001 seconds.

JSON Url:
https://www.eea.europa.eu/data-and-maps/daviz/eionet/data/eionet-data/reportnet-deliveries-per-year-in-totals/daviz.json

For system integrators

Linked Data query (SPARQL)

The following info can be used by a system developer / database administrator in order to retrieve this dataset programmatically over the web using a SPARQL client.

Are you new to Linked Data technology? visit http://linkeddata.org

SPARQL Endpoint:
http://cr.eionet.europa.eu/sparql

SPARQL Query:


        PREFIX rod: <http://rod.eionet.europa.eu/schema.rdf#>

SELECT str(bif:year(?released)) AS ?year_label bif:year(?released) AS ?year count(DISTINCT ?subj) AS ?count
WHERE {
  ?subj a rod:Delivery ;
        rod:released ?released ;
        rod:obligation ?obluri .
} GROUP BY bif:year(?released) ORDER BY ?year