The following Cypher describes how you can display the Top 5 test scores within an entire :Score population broken out by a field_of_study property.

create (n:Score {student_id: 'DC001', score: 89, field_of_study: 'chemistry'});
create (n:Score {student_id: 'MK812', score: 97, field_of_study: 'chemistry'});
create (n:Score {student_id: 'JT909', score: 77, field_of_study: 'chemistry'});
create (n:Score {student_id: 'SA743', score: 84, field_of_study: 'chemistry'});
create (n:Score {student_id: 'EH331', score: 68, field_of_study: 'chemistry'});

create (n:Score {student_id: 'AE034', score: 89, field_of_study: 'economics'});
create (n:Score {student_id: 'DC001', score: 91, field_of_study: 'economics'});
create (n:Score {student_id: 'JF623', score: 74, field_of_study: 'economics'});
create (n:Score {student_id: 'TP810', score: 77, field_of_study: 'economics'});
create (n:Score {student_id: 'BB317', score: 82, field_of_study: 'economics'});
create (n:Score {student_id: 'AH042', score: 61, field_of_study: 'economics'});
create (n:Score {student_id: 'RV448', score: 59, field_of_study: 'economics'});

running

match (n:Score)
with n order by n.score desc
with n.field_of_study as class,collect(n.student_id + '('+ n.score +')') as student
return class,student[0..5]
order by class

will return output of

class               student[0..5]
chemistry	    [MK812(97), DC001(89), SA743(84), JT909(77), EH331(68)]
economics	    [DC001(91), AE034(89), BB317(82), TP810(77), JF623(74)]

and in the above the students score has been appended to their student_id value by way of the reference '('+ n.score +')'.

The Cypher can also be written as

match (n:Score)
with n order by n.score desc
with n.field_of_study as class,collect({student_id:n.student_id, score:n.score}) as student
return class,student[0..5]
order by class

will produce the same output but the Top 5 students will be listed in a map of author and score: and thus

╒═══════════╤══════════════════════════════╕
│"class"    │"student[0..5]"               │
╞═══════════╪══════════════════════════════╡
│"chemistry"│[{"student_id":"MK812","score"│
│           │:"97"},{"student_id":"DC001","│
│           │score":"89"},{"student_id":"SA│
│           │743","score":"84"},{"student_i│
│           │d":"JT909","score":"77"},{"stu│
│           │dent_id":"EH331","score":"68"}│
│           │]                             │
├───────────┼──────────────────────────────┤
│"economics"│[{"student_id":"DC001","score"│
│           │:"91"},{"student_id":"AE034","│
│           │score":"89"},{"student_id":"BB│
│           │317","score":"82"},{"student_i│
│           │d":"TP810","score":"77"},{"stu│
│           │dent_id":"JF623","score":"74"}│
│           │]                             │
└───────────┴──────────────────────────────┘

Details


Author:
Dana Canzano
Applicable versions:
2.3, 3.0, 3.1
Keywords:
cyphergroupingneo4j-2.3neo4j-3.0neo4j-3.1top