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You're reading from  Graph Data Processing with Cypher

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Published inDec 2022
PublisherPackt
ISBN-139781804611074
Edition1st Edition
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Ravindranatha Anthapu
Ravindranatha Anthapu
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Ravindranatha Anthapu

Ravindranatha Anthapu has more than 25 years of experience in working with W3C standards or building cutting-edge technologies like integrating speech with mobile applications in the 2000s. He is a technology enthusiast who worked from operating system device drivers to writing compilers for C language to modern web technologies, transitioning seamlessly and bringing experience from each of these domains and technologies to deliver successful solutions today. As a Principal Consultant at Neo4j today, Ravindranatha works with large enterprise customers to make sure they are able to leverage graph technologies effectively across various domains.
Read more about Ravindranatha Anthapu

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Working with aggregations

In Cypher, aggregations are supported using the COUNT, SUM, AVG, MIN, MAX, COLLECT, PERCENTILE, and STDEV functions. Except for the COLLECT function, all the other functions are standard mathematical functions. COLLECT functions create a list of entities similar to data pivoting by converting a list of rows into a column value.

We have seen the usage of the COUNT function numerous times in this chapter. We can combine COUNT and COLLECT to count the entities as well as collect the values as a list. Let us take a look at the drug prescription query where we were returning patient counts. We will also return the first names of those patients along with the count.

For this, the Cypher query looks like this:

MATCH (d:Drug)<-[:HAS_DRUG]-()<-[:HAS_ENCOUNTER]-(p)
WITH DISTINCT d, p
WITH d.description as drug,
     COUNT(p) as patients,
     COLLECT(p.firstName) as firstNames
WHERE patients > 10
RETURN...
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Graph Data Processing with Cypher
Published in: Dec 2022Publisher: PacktISBN-13: 9781804611074

Author (1)

author image
Ravindranatha Anthapu

Ravindranatha Anthapu has more than 25 years of experience in working with W3C standards or building cutting-edge technologies like integrating speech with mobile applications in the 2000s. He is a technology enthusiast who worked from operating system device drivers to writing compilers for C language to modern web technologies, transitioning seamlessly and bringing experience from each of these domains and technologies to deliver successful solutions today. As a Principal Consultant at Neo4j today, Ravindranatha works with large enterprise customers to make sure they are able to leverage graph technologies effectively across various domains.
Read more about Ravindranatha Anthapu