This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| This gist explains how a graph database can help for HR analytics. There are two files included: | |
| - load the data.cql: this file contains the cypher statements that load the data into neo4j | |
| - query the data.cql: this file has some sample queries that serve to demonstrate some of the concepts. | |
| Hope this is useful. | |
| Rik |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| // generate [0..n-1] | |
| auto seq = [](size_t n) -> std::vector<size_t> { | |
| std::vector<size_t> v(n); | |
| for (size_t i=0; i<n; ++i) v[i] = i; | |
| return v; | |
| }; | |
| auto index = seq(n); | |
| // n * n distance matrix | |
| std::vector<D> dists(n * n); |