As the title suggests, this is the home stretch for my 3-part series on Neo4j and Python. This last bit is more Neo4j focussed, with Python doing most of the heavy lifting in the first two posts. Using a 2006 elections contribution dataset, I’ve loaded into Neo4j (2.0 Community Edition) the candidates, contributions, contributor names, postal codes. Additionally, I tried to get the distance between the postal codes for some geocoding. Now to try a few simple queries to test this out. The first one, is to see the top…
Toronto Elections data with Neo4j and Python part 3 of 3
