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Data table via SPARQL
Received 19 rows in 0.002 seconds.
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.
PREFIX qb: <http://purl.org/linked-data/cube#>
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 skos: <http://www.w3.org/2004/02/skos/core#>
PREFIX property: <http://rdfdata.eionet.europa.eu/eurostat/property#>
PREFIX geo: <http://rdfdata.eionet.europa.eu/eurostat/dic/geo#>
PREFIX coicop: <http://rdfdata.eionet.europa.eu/eurostat/dic/coicop#>
SELECT
year(?date) as ?date
round(sum(?CP04)/sum(?total)*1000)/10.0 as ?coicop_housing_water_electricity_gas_and_other_fuels
round(sum(?CP07)/sum(?total)*1000)/10.0 as ?coicop_transport
round(sum(?CP01)/sum(?total)*1000)/10.0 as ?coicop_food_and_non_alcoholic_beverages
round(sum(?CP12)/sum(?total)*1000)/10.0 as ?coicop_miscellaneous
round(sum(?CP09)/sum(?total)*1000)/10.0 as ?coicop_recreation_and_culture
round(sum(?CP11)/sum(?total)*1000)/10.0 as ?coicop_restaurants_and_hotels
round(sum(?CP05)/sum(?total)*1000)/10.0 as ?coicop_furnishings_household_equipment_and_routine_maintenance_of_the_house
round(sum(?CP03)/sum(?total)*1000)/10.0 as ?coicop_clothing_and_footwear
round(sum(?CP06)/sum(?total)*1000)/10.0 as ?coicop_health
round(sum(?CP02)/sum(?total)*1000)/10.0 as ?coicop_alcoholic_beverages_tobacco_and_narcotics
round(sum(?CP08)/sum(?total)*1000)/10.0 as ?coicop_communications
round(sum(?CP10)/sum(?total)*1000)/10.0 as ?coicop_education
WHERE
{
_:nama_co3_c qb:dataSet <http://rdfdata.eionet.europa.eu/eurostat/data/nama_co3_c>.
_:nama_co3_c sdmx-dimension:timePeriod ?date . FILTER (year(?date) >= 1995)
_:nama_co3_c sdmx-dimension:refArea ?geo . FILTER (?geo in (geo:IS, geo:NO, geo:EU28)) .
_:nama_co3_c sdmx-attribute:unitMeasure <http://rdfdata.eionet.europa.eu/eurostat/dic/unit#MIO_EUR> .
{
_:nama_co3_c property:coicop coicop:CP04 .
_:nama_co3_c sdmx-measure:obsValue ?CP04 .
} UNION {
_:nama_co3_c property:coicop coicop:CP07 .
_:nama_co3_c sdmx-measure:obsValue ?CP07 .
} UNION {
_:nama_co3_c property:coicop coicop:CP01 .
_:nama_co3_c sdmx-measure:obsValue ?CP01 .
} UNION {
_:nama_co3_c property:coicop coicop:CP12 .
_:nama_co3_c sdmx-measure:obsValue ?CP12 .
} UNION {
_:nama_co3_c property:coicop coicop:CP09 .
_:nama_co3_c sdmx-measure:obsValue ?CP09 .
} UNION {
_:nama_co3_c property:coicop coicop:CP11 .
_:nama_co3_c sdmx-measure:obsValue ?CP11 .
} UNION {
_:nama_co3_c property:coicop coicop:CP05 .
_:nama_co3_c sdmx-measure:obsValue ?CP05 .
} UNION {
_:nama_co3_c property:coicop coicop:CP03 .
_:nama_co3_c sdmx-measure:obsValue ?CP03 .
} UNION {
_:nama_co3_c property:coicop coicop:CP06 .
_:nama_co3_c sdmx-measure:obsValue ?CP06 .
} UNION {
_:nama_co3_c property:coicop coicop:CP02 .
_:nama_co3_c sdmx-measure:obsValue ?CP02 .
} UNION {
_:nama_co3_c property:coicop coicop:CP08 .
_:nama_co3_c sdmx-measure:obsValue ?CP08 .
} UNION {
_:nama_co3_c property:coicop coicop:CP10 .
_:nama_co3_c sdmx-measure:obsValue ?CP10 .
} UNION {
_:nama_co3_c property:coicop ?coicop .
FILTER (?coicop in (coicop:CP04,coicop:CP07,coicop:CP01,coicop:CP12,coicop:CP09,coicop:CP11,coicop:CP05,coicop:CP03,coicop:CP06,coicop:CP02,coicop:CP08,coicop:CP10))
_:nama_co3_c sdmx-measure:obsValue ?total .
}
}
GROUP BY ?date
ORDER BY ?date
For references, please go to https://www.eea.europa.eu/data-and-maps/daviz/sds/trends-in-share-of-expenditure or scan the QR code.
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