Of captains and related occupations

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Final presentation for the statistics exercise during the VU Semantic Web outing 2014

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Of captains and related occupations

  1. 1. Davide’s Group: Davide, Veruska, Martine, Chris, Victor Of Captains and related things
  2. 2. Linked data • CEDAR 1889 census (occupations) • Dutch Ships and Sailors -> Monsterrollen database (1800-1900)
  3. 3. One SPARQL query to rule them all SELECT * WHERE { ?obs <http://cedar.example.org/ns#occupation> ?occ. ?obs <http://cedar.example.org/ns#city> ?city. ?obs <http://cedar.example.org/ns#populationSize> ?num. ?city rdfs:label ?lab1. ?rank skos:exactMatch ?occ. ?pc mdb:rang ?occ. ?pc mdb:rang mdb:rang-kapitein. ?pc mdb:persoon ?pers. ?pers mdb:woonplaats ?wp. ?wp rdfs:label ?lab2. FILTER (lcase(str(?lab2)) = ?lab1) }
  4. 4. Results city cedar mdb bolsward 0 6 deventer 486 1 edam 192 1 haarlem 642 11 harlingen 0 95 kampen 612 7 leeuwarden 0 1 middelburg 264 1 norg 81 1 oude pekela 1456 1279 scheemda 1678 18 sloten 126 2 winschoten 414 95 zaandam 1266 2
  5. 5. Analysis in R So.. the amount of people embarking as captains on ships during the 19th century is a bit correlated with the number of captain’s found in the 1889 census: CAPTAIN Cities!
  6. 6. But where there’s sailors, there’s…
  7. 7. Lichtekooien!!
  8. 8. Sparql query PREFIX cedar: <http://cedar.example.org/ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX qb: <http://purl.org/linked-data/cube#> PREFIX cedardata: <http://cedar.example.org/resource/> PREFIX dim: <http://purl.org/linked-data/sdmx/2009/dimension#> select ?sex (SUM(?populationSize) AS ?totalSize) where { ?x cedar:occupation cedar:hisco-54040 . ?x cedar:populationSize ?populationSize. ?x dim:sex ?sex. ?x qb:dataSet cedardata:VT-1849 } GROUP BY ?sex order by ?totalSize
  9. 9. Results • 2260 “PUBLIC WOMEN”, • TOTAL WOMEN 17.069.797
  10. 10. Results • 2260 “PUBLIC WOMEN”, 35 PUBLIC MEN • TOTAL WOMEN 17.069.797
  11. 11. Some Real Statistics (Martine) H0: The percentage of ‘public women’ in 1889 in the total female population is 0.013% (based on 1849 data) census data from 1889
  12. 12. Some Real Statistics H0: The percentage of ‘public women’ in 1889 in the total female population is 0.013% (based on 1849 data) census data from 1889 0 PUBLIC WOMEN, 0 PUBLIC MEN TOTAL WOMEN 13343598 p-value < 2.2e-16 so smaller than threshold 0.05 alternative hypothesis: true p is not equal to 0.0001323976 so percentage public women is NOT the same as in 1849
  13. 13. Great Prostitute fire of 186X..?

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