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Data table via SPARQL

Resource productivity (GDP/DMC), latest year

Data table via SPARQL Published 23 Aug 2018 Last modified 24 Jun 2020
29 min read

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(Live Query)

country date_original date obsValue
"Austria" "2017"^^<http://www.w3.org/2001/XMLSchema#int> "2017"^^<http://www.w3.org/2001/XMLSchema#int> "1.789"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Belgium" "2017"^^<http://www.w3.org/2001/XMLSchema#int> "2017"^^<http://www.w3.org/2001/XMLSchema#int> "2.6341"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Bosnia and Herzegovina" "2015"^^<http://www.w3.org/2001/XMLSchema#int> "2017"^^<http://www.w3.org/2001/XMLSchema#int> "0.3907"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Bulgaria" "2017"^^<http://www.w3.org/2001/XMLSchema#int> "2017"^^<http://www.w3.org/2001/XMLSchema#int> "0.302"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Croatia" "2017"^^<http://www.w3.org/2001/XMLSchema#int> "2017"^^<http://www.w3.org/2001/XMLSchema#int> "1.1887"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Cyprus" "2017"^^<http://www.w3.org/2001/XMLSchema#int> "2017"^^<http://www.w3.org/2001/XMLSchema#int> "1.1416"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Czech Republic" "2017"^^<http://www.w3.org/2001/XMLSchema#int> "2017"^^<http://www.w3.org/2001/XMLSchema#int> "1.1312"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Denmark" "2017"^^<http://www.w3.org/2001/XMLSchema#int> "2017"^^<http://www.w3.org/2001/XMLSchema#int> "1.9826"^^<http://www.w3.org/2001/XMLSchema#decimal>
"Estonia" "2017"^^<http://www.w3.org/2001/XMLSchema#int> "2017"^^<http://www.w3.org/2001/XMLSchema#int> "0.4863"^^<http://www.w3.org/2001/XMLSchema#decimal>
"European Union" "2017"^^<http://www.w3.org/2001/XMLSchema#int> "2017"^^<http://www.w3.org/2001/XMLSchema#int> "2.0386"^^<http://www.w3.org/2001/XMLSchema#decimal>

Received 35 rows in 0.001 seconds.


https://eea.europa.eu./data-and-maps/daviz/sds/resource-productivity-gdp-dmc-latest-year-1/daviz.json

For system integrators

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.

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http://semantic.eea.europa.eu/sparql

PREFIX sdmx-measure: <http://purl.org/linked-data/sdmx/2009/measure#> 
PREFIX sdmx-dimension: <http://purl.org/linked-data/sdmx/2009/dimension#> 
PREFIX sdmx-attribute: <http://purl.org/linked-data/sdmx/2009/attribute#> 
PREFIX property: <http://rdfdata.eionet.europa.eu/eurostat/property#> 
PREFIX rdf-schema: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX indic_nv: <http://dd.eionet.europa.eu/vocabulary/eurostat/indic_nv/>
PREFIX unit: <http://dd.eionet.europa.eu/vocabulary/eurostat/unit/>
PREFIX geo: <http://dd.eionet.europa.eu/vocabulary/eurostat/geo/>
PREFIX common_countries: <http://dd.eionet.europa.eu/vocabulary/common/countries/>

SELECT 
bif:either(?geo = geo:DE, 'Germany', 
bif:either(?geo = geo:EU28, 'European Union', 
?ugeo)) as ?country

year(?date) as ?date_original
2017 as ?date
?obsValue
#round((?tsdpc100/?tsdpc100_idx)*1000)/10.0 as ?index

WHERE {
{  
  GRAPH <http://rdfdata.eionet.europa.eu/eurostat/data/env_ac_rp.rdf.gz> 
  {
    _:env_ac_rp sdmx-dimension:refArea ?geo .
    _:env_ac_rp sdmx-dimension:timePeriod ?date .
    _:env_ac_rp sdmx-attribute:unitMeasure unit:EUR_KG_CLV10 .
    _:env_ac_rp sdmx-measure:obsValue ?obsValue  .

    {
      SELECT DISTINCT
        max(?date) as ?date
        ?geo
      WHERE {{
        GRAPH <http://rdfdata.eionet.europa.eu/eurostat/data/env_ac_rp.rdf.gz> 
        {{
           _:env_ac_rp sdmx-dimension:timePeriod ?date .
           _:env_ac_rp sdmx-dimension:refArea ?geo . 
        }}
      }}
      GROUP BY ?geo 
    }

    #_:tsdpc100_idx sdmx-dimension:refArea ?geo .
    #_:tsdpc100_idx sdmx-dimension:timePeriod ?date_idx .
    #_:tsdpc100_idx sdmx-attribute:unitMeasure unit:EUR_KG_CLV10 .
    #_:tsdpc100_idx sdmx-measure:obsValue ?tsdpc100_idx  .
    #FILTER (year(?date_idx) = 2000)

  } 
  ?geo rdfs:label ?ugeo .
 }
}
GROUP BY ?country
ORDER BY ?country ?date


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