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Hands-On Graph Analytics with Neo4j

You're reading from   Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Length 510 pages
Edition 1st Edition
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Author (1):
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 Scifo Scifo
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Scifo
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases FREE CHAPTER 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy

Creating points

To create a point, we need to provide its latitude and longitude:

RETURN point({latitude: 45, longitude: 3})

The point representation looks like this:

point({srid:4326, x:3, y:45}

You can recognize SRID 4326, meaning the coordinates are given in the GPS projection system. As I have already mentioned previously, the y coordinate holds the latitude, while the longitude is stored to the x coordinate.

We can also use the equivalent syntax by explicitly setting the srid and using the xy notation directly:

RETURN point({srid: 4326, y: 45, x: 3})

Be careful, however. If you omit the srid parameter in the preceding expression, the point will be interpreted as being in a Cartesian projection with SRID 7203. Creating a point in the Cartesian projection can be achieved with the following syntax:

RETURN point({y: 45, x: 3})

The previous query returns a totally different point:

point({srid:7203, x:3, y:45})

If you try to draw this point on a map, it will not be at latitude 45...

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