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group:Name of the group (imported from SQL)


E1 = {
val:number
1
2
3
4
5
}

E2 = {
val:number
1
2
3
4
5
}

F = {
val:number
1
2
3
}

person = {
pid:number, name:string, city:string , birthYear:number
1 , 'Nick' , 'NewYork' , 1990
2 , 'Deepa' , 'Indianapolis', 1985
3 , 'Eric' , 'NewYork' , 1990
4 , 'Ryan' , 'Indianapolis', 1995
5 , 'Hasan' , 'Indianapolis', 1990
6 , 'Arif' , 'Indianapolis', 1980
7 , 'Ryan' , 'Chicago' , 1980
8 , 'Jean' , 'SanFransisco', 2000
9 , 'Aya' , 'SanFransisco', 1985
10 , 'Lisa' , 'NewYork' , 2000
11 , 'Arif' , 'Chicago' , 1990
12 , 'Deepa' , 'Bloomington' , 1990
13 , 'Nick' , 'SanFransisco', 1980
14 , 'Ryan' , 'Indianapolis', 1990
15 , 'Nick' , 'Indianapolis', 1990
16 , 'Anna' , 'Chicago' , 1980
17 , 'Lisa' , 'Bloomington' , 1990
18 , 'Ryan' , 'Bloomington' , 1995
19 , 'Lisa' , 'Chicago' , 1980
20 , 'Danielle' , 'Indianapolis', 1985
21 , 'Eric' , 'Chicago' , 1980
22 , 'Anna' , 'Indianapolis', 1985
23 , 'Chris' , 'Bloomington' , 1990
24 , 'Aya' , 'NewYork' , 1995
25 , 'Arif' , 'SanFransisco', 1990
26 , 'Anna' , 'Bloomington' , 2000
27 , 'Latha' , 'SanFransisco', 2000
28 , 'Eric' , 'Bloomington' , 2000
29 , 'Linda' , 'Bloomington' , 1990
30 , 'Aya' , 'NewYork' , 1995
}

knows = {
pid1:number, pid2:number
5 , 22
15 , 28
10 , 27
11 , 27
13 , 14
11 , 14
5 , 28
1 , 26
18 , 24
24 , 5
6 , 26
15 , 7
15 , 25
19 , 27
10 , 5
11 , 19
20 , 22
27 , 23
24 , 29
4 , 10
26 , 12
13 , 15
19 , 4
20 , 10
10 , 6
1 , 7
17 , 23
9 , 26
3 , 10
21 , 29
27 , 15
12 , 13
16 , 3
14 , 24
14 , 28
12 , 4
15 , 8
4 , 28
18 , 11
12 , 16
30 , 12
4 , 9
4 , 8
29 , 13
29 , 20
24 , 18
16 , 13
30 , 17
23 , 22
7 , 16
29 , 22
26 , 3
28 , 30
25 , 10
3 , 22
22 , 21
30 , 3
1 , 20
19 , 11
29 , 15
13 , 30
11 , 12
1 , 5
13 , 18
24 , 19
30 , 10
4 , 12
24 , 11
18 , 22
3 , 2
4 , 3
12 , 23
25 , 24
17 , 20
28 , 10
8 , 17
15 , 13
1 , 9
6 , 18
3 , 4
4 , 19
24 , 23
27 , 3
12 , 5
12 , 2
26 , 22
30 , 15
20 , 13
28 , 14
14 , 5
1 , 10
7 , 9
27 , 22
12 , 11
16 , 20
12 , 3
17 , 7
2 , 14
18 , 25
16 , 24
}

company = {
cname:string, city:string
'Amazon' , 'NewYork'
'IBM' , 'NewYork'
'Amazon' , 'Indianapolis'
'Amazon' , 'Bloomington'
'Intel' , 'NewYork'
'Netflix' , 'Indianapolis'
'Yahoo' , 'Indianapolis'
'Google' , 'Bloomington'
'Apple' , 'Indianapolis'
'Hulu' , 'Chicago'
'Hulu' , 'NewYork'
'Yahoo' , 'Chicago'
'Intel' , 'Bloomington'
'Google' , 'Chicago'
'Zoom' , 'Chicago'
'Yahoo' , 'NewYork'
'Yahoo' , 'Bloomington'
'Netflix' , 'Bloomington'
'Microsoft' , 'Chicago'
'Netflix' , 'NewYork'
'Microsoft' , 'Indianapolis'
'Zoom' , 'SanFransisco'
'Netflix' , 'SanFrancisco'
'Yahoo' , 'SanFrancisco'
'IBM' , 'SanFrancisco'
}

worksfor = {
pid:number, cname:string, salary:number
1 , 'IBM' , 60000
2 , 'Hulu' , 50000
3 , 'Amazon' , 45000
4 , 'Microsoft' , 60000
5 , 'Amazon' , 40000
6 , 'IBM' , 50000
7 , 'IBM' , 50000
8 , 'Netflix' , 45000
9 , 'Yahoo' , 50000
10 , 'Hulu' , 40000
11 , 'Apple' , 40000
12 , 'Netflix' , 55000
13 , 'Apple' , 40000
14 , 'IBM' , 50000
15 , 'IBM' , 40000
16 , 'Apple' , 55000
17 , 'Google' , 45000
18 , 'Amazon' , 45000
19 , 'Zoom' , 45000
20 , 'Microsoft' , 55000
21 , 'Intel' , 55000
22 , 'IBM' , 40000
23 , 'Apple' , 40000
24 , 'Google' , 45000
25 , 'Hulu' , 50000
26 , 'Intel' , 55000
27 , 'Intel' , 50000
28 , 'Intel' , 50000
29 , 'Google' , 60000
30 , 'Intel' , 60000
}

jobskill = {
skill:string
'Programming'
'Databases'
'AI'
'Networks'
'Mathematics'
}

personskill = {
pid:number, skill:string
27 , 'Programming'
18 , 'Mathematics'
10 , 'AI'
29 , 'Networks'
23 , 'AI'
4 , 'AI'
1 , 'Databases'
10 , 'Networks'
9 , 'Programming'
13 , 'Networks'
9 , 'AI'
27 , 'Mathematics'
20 , 'AI'
29 , 'Databases'
5 , 'Programming'
26 , 'Databases'
1 , 'Networks'
28 , 'AI'
15 , 'Programming'
16 , 'Mathematics'
12 , 'Databases'
15 , 'Databases'
24 , 'Programming'
14 , 'AI'
25 , 'Networks'
13 , 'AI'
12 , 'Programming'
22 , 'Programming'
7 , 'Mathematics'
10 , 'Programming'
16 , 'Databases'
19 , 'Programming'
7 , 'Programming'
22 , 'AI'
5 , 'Databases'
2 , 'Mathematics'
14 , 'Programming'
26 , 'Networks'
19 , 'Networks'
21 , 'Programming'
14 , 'Mathematics'
19 , 'AI'
2 , 'Networks'
8 , 'Databases'
13 , 'Mathematics'
29 , 'Programming'
3 , 'AI'
16 , 'Networks'
5 , 'Networks'
17 , 'AI'
24 , 'Databases'
2 , 'Databases'
27 , 'Networks'
28 , 'Databases'
30 , 'Databases'
4 , 'Networks'
6 , 'Networks'
17 , 'Networks'
23 , 'Programming'
20 , 'Programming'
}

group: UIBK - R, S, T
description: DOINK

person = {
pid:number, name:string, city:string , birthYear:number
1 , 'Nick' , 'NewYork' , 1990
2 , 'Deepa' , 'Indianapolis', 1985
3 , 'Eric' , 'NewYork' , 1990
4 , 'Ryan' , 'Indianapolis', 1995
5 , 'Hasan' , 'Indianapolis', 1990
6 , 'Arif' , 'Indianapolis', 1980
7 , 'Ryan' , 'Chicago' , 1980
8 , 'Jean' , 'SanFransisco', 2000
9 , 'Aya' , 'SanFransisco', 1985
10 , 'Lisa' , 'NewYork' , 2000
11 , 'Arif' , 'Chicago' , 1990
12 , 'Deepa' , 'Bloomington' , 1990
13 , 'Nick' , 'SanFransisco', 1980
14 , 'Ryan' , 'Indianapolis', 1990
15 , 'Nick' , 'Indianapolis', 1990
16 , 'Anna' , 'Chicago' , 1980
17 , 'Lisa' , 'Bloomington' , 1990
18 , 'Ryan' , 'Bloomington' , 1995
19 , 'Lisa' , 'Chicago' , 1980
20 , 'Danielle' , 'Indianapolis', 1985
21 , 'Eric' , 'Chicago' , 1980
22 , 'Anna' , 'Indianapolis', 1985
23 , 'Chris' , 'Bloomington' , 1990
24 , 'Aya' , 'NewYork' , 1995
25 , 'Arif' , 'SanFransisco', 1990
26 , 'Anna' , 'Bloomington' , 2000
27 , 'Latha' , 'SanFransisco', 2000
28 , 'Eric' , 'Bloomington' , 2000
29 , 'Linda' , 'Bloomington' , 1990
30 , 'Aya' , 'NewYork' , 1995
}


     
 
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