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Travel hackathon datasets with Neo4j
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| // data available here: https://data.police.uk/data/ | |
| // Load data for City of London 2015. Change URL for other data downloaded from https://data.police.uk/data/ | |
| LOAD CSV WITH HEADERS FROM "https://dl.dropboxusercontent.com/u/67572426/london_graph_hack/2015-01-city-of-london-street.csv" AS row | |
| WITH row WHERE row.Location IS NOT NULL AND row.Latitude IS NOT NULL AND row.Longitude IS NOT NULL AND row.Month IS NOT NULL AND row.`Falls within` IS NOT NULL AND row.`Reported by` IS NOT NULL AND row.`Crime type` IS NOT NULL AND row.`Crime ID` IS NOT NULL | |
| MERGE (location:Location {name: row.Location}) | |
| MERGE (point:Point {lat: row.Latitude, lon: row.Longitude}) | |
| MERGE (month:Month {name: row.Month}) | |
| MERGE (juris:Jurisdiction {name: row.`Falls within`}) | |
| MERGE (report:Reporter {name: row.`Reported by`}) | |
| MERGE (crimetype:CrimeType {name: row.`Crime type`}) | |
| MERGE (crime:Crime {crime_id: row.`Crime ID`}) | |
| SET crime.lsoa_name = row.`LSOA name`, | |
| crime.lsoa_code = row.`LSOA code` | |
| MERGE (crime)-[:OCCURED_AT]->(point) | |
| MERGE (point)-[:LOCATED_IN]->(location) | |
| MERGE (location)-[:HAS_JURISDICTION]->(juris) | |
| MERGE (crime)-[:OCCURED_DURING]->(month) | |
| MERGE (crimetype)<-[:IS_TYPE]-(crime) | |
| MERGE (crime)-[:REPORTED_BY]->(report) |
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