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Share, discover and reuse the Linked Data has never been easier with a LinkedWiki Platform.

Reuse these data in your code

Query, endpoint and code for reusing the same data
https://query.wikidata.org/sparql
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>
#added before 2016-10

   # Query to find all musicians who have already died
   # calculate their age (full years) at death
   # count how many of them died at each age

    SELECT ?age  (COUNT (DISTINCT ?a) AS ?count) WHERE {
        ?a wdt:P31 wd:Q5 . #instance of human
        ?a wdt:P106/wdt:P279 wd:Q639669 . #occupation a subclass of musician
        ?a p:P569/psv:P569 ?birth_date_node .
        ?a p:P570/psv:P570 ?death_date_node .
        ?birth_date_node wikibase:timeValue ?birth_date .
        ?death_date_node wikibase:timeValue ?death_date .
        FILTER(?age > 10 && ?age < 100) . #ignore outlyers, several of which are probably errors
        BIND( year(?death_date) - year(?birth_date) - if(month(?death_date)<month(?birth_date) || (month(?death_date)=month(?birth_date) && day(?death_date)<day(?birth_date)),1,0) as ?age )
        # calculate the age, precisely to the day (times and timezones ignored)
    }
	GROUP BY ?age
    ORDER BY ?age
Howto write a query SPARQL? (in French)
{{#sparql:PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>
#added before 2016-10

   # Query to find all musicians who have already died
   # calculate their age (full years) at death
   # count how many of them died at each age

    SELECT ?age  (COUNT (DISTINCT ?a) AS ?count) WHERE {
        ?a wdt:P31 wd:Q5 . #instance of human
        ?a wdt:P106/wdt:P279 wd:Q639669 . #occupation a subclass of musician
        ?a p:P569/psv:P569 ?birth_date_node .
        ?a p:P570/psv:P570 ?death_date_node .
        ?birth_date_node wikibase:timeValue ?birth_date .
        ?death_date_node wikibase:timeValue ?death_date .
        FILTER(?age > 10 && ?age < 100) . #ignore outlyers, several of which are probably errors
        BIND( year(?death_date) - year(?birth_date) - if(month(?death_date)<month(?birth_date) || (month(?death_date)=month(?birth_date) && day(?death_date)<day(?birth_date)),1,0) as ?age )
        # calculate the age, precisely to the day (times and timezones ignored)
    }
	GROUP BY ?age
    ORDER BY ?age
| endpoint = https://query.wikidata.org/sparql
| chart=google.visualization.LineChart
| options=
| log=2
}}
Howto install LinkedWiki in my wiki? Howto insert this graph in my wiki?
Test this script in a new tab.
<html>
    <head>
        <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.4.1/jquery.min.js"  async></script>
    </head>
    <body onload="testQuery();">
        <script>
function testQuery(){
    var endpoint = "https://query.wikidata.org/sparql";
    var query = "PREFIX p: <http://www.wikidata.org/prop/>\n\
PREFIX wd: <http://www.wikidata.org/entity/>\n\
PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n\
PREFIX wikibase: <http://wikiba.se/ontology#>\n\
#added before 2016-10\n\
\n\
   # Query to find all musicians who have already died\n\
   # calculate their age (full years) at death\n\
   # count how many of them died at each age\n\
\n\
    SELECT ?age  (COUNT (DISTINCT ?a) AS ?count) WHERE {\n\
        ?a wdt:P31 wd:Q5 . #instance of human\n\
        ?a wdt:P106/wdt:P279 wd:Q639669 . #occupation a subclass of musician\n\
        ?a p:P569/psv:P569 ?birth_date_node .\n\
        ?a p:P570/psv:P570 ?death_date_node .\n\
        ?birth_date_node wikibase:timeValue ?birth_date .\n\
        ?death_date_node wikibase:timeValue ?death_date .\n\
        FILTER(?age > 10 && ?age < 100) . #ignore outlyers, several of which are probably errors\n\
        BIND( year(?death_date) - year(?birth_date) - if(month(?death_date)<month(?birth_date) || (month(?death_date)=month(?birth_date) && day(?death_date)<day(?birth_date)),1,0) as ?age )\n\
        # calculate the age, precisely to the day (times and timezones ignored)\n\
    }\n\
	GROUP BY ?age\n\
    ORDER BY ?age"

   // $('#bodyContentResearch').append(queryDataset);
    $.ajax({
                url: endpoint,
                dataType: 'json',
                data: {
                    queryLn: 'SPARQL',
                    query: query ,
                    limit: 'none',
                    infer: 'true',
                    Accept: 'application/sparql-results+json'
                },
                success: displayResult,
                error: displayError
        });
}

function displayError(xhr, textStatus, errorThrown) {
    console.log(textStatus);
    console.log(errorThrown);
}

function displayResult(data) {
    $.each(data.results.bindings, function(index, bs) {
        console.log(bs);
        $("body").append(JSON.stringify(bs) + "<hr/>");
    });
}

        </script>
    </body>
</html>
Test this script in a new tab (Careful, several charts need a API key).
Howto insert this graph in my html page?
<html>
    <head>
     <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css" integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">

     <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.9.0/css/all.min.css">

     <script
            src="https://code.jquery.com/jquery-3.4.1.min.js"
            integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo="
            crossorigin="anonymous"> </script>
     <script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.7/umd/popper.min.js" integrity="sha384-UO2eT0CpHqdSJQ6hJty5KVphtPhzWj9WO1clHTMGa3JDZwrnQq4sF86dIHNDz0W1" crossorigin="anonymous"> </script>
     <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.min.js" integrity="sha384-JjSmVgyd0p3pXB1rRibZUAYoIIy6OrQ6VrjIEaFf/nJGzIxFDsf4x0xIM+B07jRM" crossorigin="anonymous"> </script>

     <script type="text/javascript" src="https://bordercloud.github.io/sgvizler2/sgvizler2/sgvizler2.js" defer> </script>
     <script type="text/javascript" src="https://linkedwiki.com/js/initExampleHTML.js"  defer > </script>
    </head>
<body style="margin:0;">
<div id="sgvzl_example_query"
   data-sgvizler-endpoint="https://query.wikidata.org/sparql"
   data-sgvizler-query="PREFIX p: &lt;http://www.wikidata.org/prop/&gt;
PREFIX wd: &lt;http://www.wikidata.org/entity/&gt;
PREFIX wdt: &lt;http://www.wikidata.org/prop/direct/&gt;
PREFIX wikibase: &lt;http://wikiba.se/ontology#&gt;
#added before 2016-10

   # Query to find all musicians who have already died
   # calculate their age (full years) at death
   # count how many of them died at each age

    SELECT ?age  (COUNT (DISTINCT ?a) AS ?count) WHERE {
        ?a wdt:P31 wd:Q5 . #instance of human
        ?a wdt:P106/wdt:P279 wd:Q639669 . #occupation a subclass of musician
        ?a p:P569/psv:P569 ?birth_date_node .
        ?a p:P570/psv:P570 ?death_date_node .
        ?birth_date_node wikibase:timeValue ?birth_date .
        ?death_date_node wikibase:timeValue ?death_date .
        FILTER(?age &gt; 10 &amp;&amp; ?age &lt; 100) . #ignore outlyers, several of which are probably errors
        BIND( year(?death_date) - year(?birth_date) - if(month(?death_date)&lt;month(?birth_date) || (month(?death_date)=month(?birth_date) &amp;&amp; day(?death_date)&lt;day(?birth_date)),1,0) as ?age )
        # calculate the age, precisely to the day (times and timezones ignored)
    }
	GROUP BY ?age
    ORDER BY ?age"
    data-sgvizler-chart='google.visualization.LineChart'
    data-sgvizler-chart-options=''
    data-sgvizler-endpoint_output_format='json'
    data-sgvizler-log='2'
    style='width:100%; height:450px;'  />

<script>
/*$(function() {
   sgvizler2.containerDrawAll({
       // Google Api key
       googleApiKey : "GOOGLE_MAP_API_KEY",
       // OpenStreetMap Access Token
       //  https://www.mapbox.com/api-documentation/#access-tokens
       osmAccessToken : "OSM_MAP_API_KEY"
     });
});*/
</script>

</body>
</html>
from SPARQLWrapper import SPARQLWrapper, JSON

sparql = SPARQLWrapper("https://query.wikidata.org/sparql")
sparql.setQuery("""
    PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>
#added before 2016-10

   # Query to find all musicians who have already died
   # calculate their age (full years) at death
   # count how many of them died at each age

    SELECT ?age  (COUNT (DISTINCT ?a) AS ?count) WHERE {
        ?a wdt:P31 wd:Q5 . #instance of human
        ?a wdt:P106/wdt:P279 wd:Q639669 . #occupation a subclass of musician
        ?a p:P569/psv:P569 ?birth_date_node .
        ?a p:P570/psv:P570 ?death_date_node .
        ?birth_date_node wikibase:timeValue ?birth_date .
        ?death_date_node wikibase:timeValue ?death_date .
        FILTER(?age > 10 && ?age < 100) . #ignore outlyers, several of which are probably errors
        BIND( year(?death_date) - year(?birth_date) - if(month(?death_date)<month(?birth_date) || (month(?death_date)=month(?birth_date) && day(?death_date)<day(?birth_date)),1,0) as ?age )
        # calculate the age, precisely to the day (times and timezones ignored)
    }
	GROUP BY ?age
    ORDER BY ?age""")
sparql.setReturnFormat(JSON)
results = sparql.query().convert()

for result in results["results"]["bindings"]:
    print(result)
    #print(result["label"]["value"])
Howto use SPARQL with Python ?
library(SPARQL) # SPARQL querying package
library(ggplot2)

# Step 1 - Set up preliminaries and define query
# Define the data.gov endpoint
    endpoint <- "https://query.wikidata.org/sparql"
# create query statement
    query <- "PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>
#added before 2016-10

   # Query to find all musicians who have already died
   # calculate their age (full years) at death
   # count how many of them died at each age

    SELECT ?age  (COUNT (DISTINCT ?a) AS ?count) WHERE {
        ?a wdt:P31 wd:Q5 . #instance of human
        ?a wdt:P106/wdt:P279 wd:Q639669 . #occupation a subclass of musician
        ?a p:P569/psv:P569 ?birth_date_node .
        ?a p:P570/psv:P570 ?death_date_node .
        ?birth_date_node wikibase:timeValue ?birth_date .
        ?death_date_node wikibase:timeValue ?death_date .
        FILTER(?age > 10 && ?age < 100) . #ignore outlyers, several of which are probably errors
        BIND( year(?death_date) - year(?birth_date) - if(month(?death_date)<month(?birth_date) || (month(?death_date)=month(?birth_date) && day(?death_date)<day(?birth_date)),1,0) as ?age )
        # calculate the age, precisely to the day (times and timezones ignored)
    }
	GROUP BY ?age
    ORDER BY ?age"
# Step 2 - Use SPARQL package to submit query and save results to a data frame
qd <- SPARQL(endpoint,query)
df <- qd$results
SPARQL with R in less than 5 minutes
#!/usr/bin/env ruby
#
# Install sparql for Ruby
#   gem update --system
#   gem install sparql
#
require 'sparql/client'

endpoint = "https://query.wikidata.org/sparql"
sparql = <<-EOT
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>
#added before 2016-10

   # Query to find all musicians who have already died
   # calculate their age (full years) at death
   # count how many of them died at each age

    SELECT ?age  (COUNT (DISTINCT ?a) AS ?count) WHERE {
        ?a wdt:P31 wd:Q5 . #instance of human
        ?a wdt:P106/wdt:P279 wd:Q639669 . #occupation a subclass of musician
        ?a p:P569/psv:P569 ?birth_date_node .
        ?a p:P570/psv:P570 ?death_date_node .
        ?birth_date_node wikibase:timeValue ?birth_date .
        ?death_date_node wikibase:timeValue ?death_date .
        FILTER(?age > 10 && ?age < 100) . #ignore outlyers, several of which are probably errors
        BIND( year(?death_date) - year(?birth_date) - if(month(?death_date)<month(?birth_date) || (month(?death_date)=month(?birth_date) && day(?death_date)<day(?birth_date)),1,0) as ?age )
        # calculate the age, precisely to the day (times and timezones ignored)
    }
	GROUP BY ?age
    ORDER BY ?age
EOT

#For Wikidata, the method get is required
#For other SPARQL endpoints, the method post is prefered
client = SPARQL::Client.new(endpoint, :method => :get)
rows = client.query(sparql)

puts "Number of rows: #{rows.size}"
for row in rows
  for key,val in row do
    # print "#{key.to_s.ljust(10)}: #{val}\t"
    print "#{key}: #{val}\t"
  end
  print "\n"
end
Doc Ruby for SPARQL 1.1
endpoint = 'https://query.wikidata.org/sparql';

query = ['PREFIX p: <http://www.wikidata.org/prop/> '...
'PREFIX wd: <http://www.wikidata.org/entity/> '...
'PREFIX wdt: <http://www.wikidata.org/prop/direct/> '...
'PREFIX wikibase: <http://wikiba.se/ontology#> '...
'#added before 2016-10 '...
' '...
'   # Query to find all musicians who have already died '...
'   # calculate their age (full years) at death '...
'   # count how many of them died at each age '...
' '...
'    SELECT ?age  (COUNT (DISTINCT ?a) AS ?count) WHERE { '...
'        ?a wdt:P31 wd:Q5 . #instance of human '...
'        ?a wdt:P106/wdt:P279 wd:Q639669 . #occupation a subclass of musician '...
'        ?a p:P569/psv:P569 ?birth_date_node . '...
'        ?a p:P570/psv:P570 ?death_date_node . '...
'        ?birth_date_node wikibase:timeValue ?birth_date . '...
'        ?death_date_node wikibase:timeValue ?death_date . '...
'        FILTER(?age > 10 && ?age < 100) . #ignore outlyers, several of which are probably errors '...
'        BIND( year(?death_date) - year(?birth_date) - if(month(?death_date)<month(?birth_date) || (month(?death_date)=month(?birth_date) && day(?death_date)<day(?birth_date)),1,0) as ?age ) '...
'        # calculate the age, precisely to the day (times and timezones ignored) '...
'    } '...
'	GROUP BY ?age '...
'    ORDER BY ?age '];

url_head = strcat(endpoint,'?query=');
url_query = urlencode(query);
format = 'text/tab-separated-values';
url_tail = strcat('&format=', format);

url = strcat(url_head, url_query, url_tail);

% get the data from the endpoint
query_results = urlread(url);

% write the data to a file so that tdfread can parse it
fid = fopen('query_results.txt','w');
if fid>=0
    fprintf(fid, '%s\n', query_results)
    fclose(fid)
end

% this reads the tsv file into a struct
sparql_data = tdfread('query_results.txt')
Project Github MatlabSPARQL
<?php
require __DIR__ . '/../vendor/autoload.php';
use BorderCloud\SPARQL\SparqlClient;

$endpoint ="https://query.wikidata.org/sparql";
$sp_readonly = new SparqlClient();
$sp_readonly->setEndpointRead($endpoint);
$q = <<<EOD
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>
#added before 2016-10

   # Query to find all musicians who have already died
   # calculate their age (full years) at death
   # count how many of them died at each age

    SELECT ?age  (COUNT (DISTINCT ?a) AS ?count) WHERE {
        ?a wdt:P31 wd:Q5 . #instance of human
        ?a wdt:P106/wdt:P279 wd:Q639669 . #occupation a subclass of musician
        ?a p:P569/psv:P569 ?birth_date_node .
        ?a p:P570/psv:P570 ?death_date_node .
        ?birth_date_node wikibase:timeValue ?birth_date .
        ?death_date_node wikibase:timeValue ?death_date .
        FILTER(?age > 10 && ?age < 100) . #ignore outlyers, several of which are probably errors
        BIND( year(?death_date) - year(?birth_date) - if(month(?death_date)<month(?birth_date) || (month(?death_date)=month(?birth_date) && day(?death_date)<day(?birth_date)),1,0) as ?age )
        # calculate the age, precisely to the day (times and timezones ignored)
    }
	GROUP BY ?age
    ORDER BY ?ageEOD;
$rows = $sp_readonly->query($q, 'rows');
$err = $sp_readonly->getErrors();
if ($err) {
      print_r($err);
      throw new Exception(print_r($err,true));
}

foreach($rows["result"]["variables"] as $variable){
        printf("%-20.20s",$variable);
        echo '|';
 }
 echo "\n";

foreach ($rows["result"]["rows"] as $row){
        foreach($rows["result"]["variables"] as $variable){
                printf("%-20.20s",$row[$variable]);
        echo '|';
        }
        echo "\n";
 }
 ?>
Project Github BorderCloud/SPARQL
import com.bordercloud.sparql.Endpoint;
import java.util.ArrayList;
import java.util.HashMap;

public class Main {

    public static void main(String[] args) {
        try {
            Endpoint sp = new Endpoint("https://query.wikidata.org/sparql";, false);

            String querySelect = 'PREFIX p: <http://www.wikidata.org/prop/> \n'
                    + 'PREFIX wd: <http://www.wikidata.org/entity/> \n'
                    + 'PREFIX wdt: <http://www.wikidata.org/prop/direct/> \n'
                    + 'PREFIX wikibase: <http://wikiba.se/ontology#> \n'
                    + '#added before 2016-10 \n'
                    + ' \n'
                    + '   # Query to find all musicians who have already died \n'
                    + '   # calculate their age (full years) at death \n'
                    + '   # count how many of them died at each age \n'
                    + ' \n'
                    + '    SELECT ?age  (COUNT (DISTINCT ?a) AS ?count) WHERE { \n'
                    + '        ?a wdt:P31 wd:Q5 . #instance of human \n'
                    + '        ?a wdt:P106/wdt:P279 wd:Q639669 . #occupation a subclass of musician \n'
                    + '        ?a p:P569/psv:P569 ?birth_date_node . \n'
                    + '        ?a p:P570/psv:P570 ?death_date_node . \n'
                    + '        ?birth_date_node wikibase:timeValue ?birth_date . \n'
                    + '        ?death_date_node wikibase:timeValue ?death_date . \n'
                    + '        FILTER(?age > 10 && ?age < 100) . #ignore outlyers, several of which are probably errors \n'
                    + '        BIND( year(?death_date) - year(?birth_date) - if(month(?death_date)<month(?birth_date) || (month(?death_date)=month(?birth_date) && day(?death_date)<day(?birth_date)),1,0) as ?age ) \n'
                    + '        # calculate the age, precisely to the day (times and timezones ignored) \n'
                    + '    } \n'
                    + '	GROUP BY ?age \n'
                    + '    ORDER BY ?age \n';

            HashMap rs = sp.query(querySelect);
            printResult(rs,30);

        }catch(EndpointException eex) {
            System.out.println(eex);
            eex.printStackTrace();
        }
    }

    public static void printResult(HashMap rs , int size) {

      for (String variable : (ArrayList) rs.get("result").get("variables")) {
        System.out.print(String.format("%-"+size+"."+size+"s", variable ) + " | ");
      }
      System.out.print("\n");
      for (HashMap value : (ArrayList>) rs.get("result").get("rows")) {
        //System.out.print(value);
        /* for (String key : value.keySet()) {
         System.out.println(value.get(key));
         }*/
        for (String variable : (ArrayList) rs.get("result").get("variables")) {
          //System.out.println(value.get(variable));
          System.out.print(String.format("%-"+size+"."+size+"s", value.get(variable)) + " | ");
        }
        System.out.print("\n");
      }
    }
}
Project Github BorderCloud/SPARQL-JAVA
Very soon !
TODO