Overview

Dataset statistics

Number of variables7
Number of observations50
Missing cells29
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory58.6 B

Variable types

Categorical2
Text4
DateTime1

Dataset

Description부산광역시_동래구_직업소개소등록현황_20220823
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026214

Alerts

유무료구분 is highly imbalanced (85.9%)Imbalance
사업소주소(지번) has 2 (4.0%) missing valuesMissing
전화번호 has 27 (54.0%) missing valuesMissing
법인명 has unique valuesUnique
사업소주소(도로명) has unique valuesUnique
등록일 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:17:29.076750
Analysis finished2023-12-10 17:17:31.053963
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유무료구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
유료
49 
무료
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row유료
2nd row유료
3rd row유료
4th row유료
5th row유료

Common Values

ValueCountFrequency (%)
유료 49
98.0%
무료 1
 
2.0%

Length

2023-12-11T02:17:31.181096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:17:31.358839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 49
98.0%
무료 1
 
2.0%

법인명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T02:17:31.757613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length7.34
Min length4

Characters and Unicode

Total characters367
Distinct characters128
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row부산일등인력
2nd row송남인력소개소
3rd row아가맘스마일케어 북부산지점
4th row세정인력
5th rowBRIDGE
ValueCountFrequency (%)
직업소개소 6
 
9.7%
부산일등인력 1
 
1.6%
동래가사원직업소개소 1
 
1.6%
한빛인력 1
 
1.6%
잡 1
 
1.6%
제이 1
 
1.6%
주)스마트소셜 1
 
1.6%
주)선인이엔지 1
 
1.6%
주)잡스토리동래 1
 
1.6%
보람인력 1
 
1.6%
Other values (47) 47
75.8%
2023-12-11T02:17:32.492266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 38
 
10.4%
개 31
 
8.4%
인 21
 
5.7%
업 18
 
4.9%
직 17
 
4.6%
력 17
 
4.6%
발 12
 
3.3%
12
 
3.3%
주 7
 
1.9%
( 6
 
1.6%
Other values (118) 188
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 334
91.0%
Space Separator 12
 
3.3%
Uppercase Letter 9
 
2.5%
Open Punctuation 6
 
1.6%
Close Punctuation 6
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 38
 
11.4%
개 31
 
9.3%
인 21
 
6.3%
업 18
 
5.4%
직 17
 
5.1%
력 17
 
5.1%
발 12
 
3.6%
주 7
 
2.1%
부 6
 
1.8%
동 6
 
1.8%
Other values (108) 161
48.2%
Uppercase Letter
ValueCountFrequency (%)
E 2
22.2%
G 2
22.2%
D 1
11.1%
I 1
11.1%
R 1
11.1%
B 1
11.1%
N 1
11.1%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
91.0%
Common 24
 
6.5%
Latin 9
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 38
 
11.4%
개 31
 
9.3%
인 21
 
6.3%
업 18
 
5.4%
직 17
 
5.1%
력 17
 
5.1%
발 12
 
3.6%
주 7
 
2.1%
부 6
 
1.8%
동 6
 
1.8%
Other values (108) 161
48.2%
Latin
ValueCountFrequency (%)
E 2
22.2%
G 2
22.2%
D 1
11.1%
I 1
11.1%
R 1
11.1%
B 1
11.1%
N 1
11.1%
Common
ValueCountFrequency (%)
12
50.0%
( 6
25.0%
) 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 334
91.0%
ASCII 33
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 38
 
11.4%
개 31
 
9.3%
인 21
 
6.3%
업 18
 
5.4%
직 17
 
5.1%
력 17
 
5.1%
발 12
 
3.6%
주 7
 
2.1%
부 6
 
1.8%
동 6
 
1.8%
Other values (108) 161
48.2%
ASCII
ValueCountFrequency (%)
12
36.4%
( 6
18.2%
) 6
18.2%
E 2
 
6.1%
G 2
 
6.1%
D 1
 
3.0%
I 1
 
3.0%
R 1
 
3.0%
B 1
 
3.0%
N 1
 
3.0%

법인개인구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
개인
42 
법인
8 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 42
84.0%
법인 8
 
16.0%

Length

2023-12-11T02:17:32.788148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:17:32.990609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 42
84.0%
법인 8
 
16.0%

사업소주소(도로명)
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T02:17:33.550226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length31.34
Min length22

Characters and Unicode

Total characters1567
Distinct characters108
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 시실로 208. 2층 (명장동)
2nd row부산광역시 동래구 반송로 220. 3층 (안락동)
3rd row부산광역시 동래구 온천장로 21. 명륜역 대원칸타빌 1506호 (온천동)
4th row부산광역시 동래구 아시아드대로 234. 104동 1층 1호 (온천동. 온천동반도보라스카이뷰)
5th row부산광역시 동래구 충렬대로202번가길 3. 남영빌딩 1층 102호 (수안동)
ValueCountFrequency (%)
부산광역시 50
 
16.6%
동래구 49
 
16.3%
온천동 20
 
6.6%
충렬대로 12
 
4.0%
명륜동 8
 
2.7%
2층 7
 
2.3%
1층 6
 
2.0%
아시아드대로 6
 
2.0%
안락동 6
 
2.0%
수안동 5
 
1.7%
Other values (112) 132
43.9%
2023-12-11T02:17:34.635861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
 
16.0%
동 110
 
7.0%
시 59
 
3.8%
1 55
 
3.5%
래 53
 
3.4%
( 52
 
3.3%
광 52
 
3.3%
) 52
 
3.3%
산 51
 
3.3%
역 51
 
3.3%
Other values (98) 781
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
59.0%
Space Separator 251
 
16.0%
Decimal Number 236
 
15.1%
Open Punctuation 52
 
3.3%
Close Punctuation 52
 
3.3%
Other Punctuation 38
 
2.4%
Uppercase Letter 10
 
0.6%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 110
 
11.9%
시 59
 
6.4%
래 53
 
5.7%
광 52
 
5.6%
산 51
 
5.5%
역 51
 
5.5%
부 50
 
5.4%
로 50
 
5.4%
구 50
 
5.4%
천 31
 
3.4%
Other values (76) 368
39.8%
Decimal Number
ValueCountFrequency (%)
1 55
23.3%
2 38
16.1%
3 29
12.3%
0 22
 
9.3%
7 22
 
9.3%
4 19
 
8.1%
9 15
 
6.4%
5 15
 
6.4%
6 13
 
5.5%
8 8
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
20.0%
K 2
20.0%
S 2
20.0%
U 1
10.0%
Y 1
10.0%
H 1
10.0%
A 1
10.0%
Space Separator
ValueCountFrequency (%)
251
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Other Punctuation
ValueCountFrequency (%)
. 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
59.0%
Common 632
40.3%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 110
 
11.9%
시 59
 
6.4%
래 53
 
5.7%
광 52
 
5.6%
산 51
 
5.5%
역 51
 
5.5%
부 50
 
5.4%
로 50
 
5.4%
구 50
 
5.4%
천 31
 
3.4%
Other values (76) 368
39.8%
Common
ValueCountFrequency (%)
251
39.7%
1 55
 
8.7%
( 52
 
8.2%
) 52
 
8.2%
2 38
 
6.0%
. 38
 
6.0%
3 29
 
4.6%
0 22
 
3.5%
7 22
 
3.5%
4 19
 
3.0%
Other values (5) 54
 
8.5%
Latin
ValueCountFrequency (%)
B 2
20.0%
K 2
20.0%
S 2
20.0%
U 1
10.0%
Y 1
10.0%
H 1
10.0%
A 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
59.0%
ASCII 642
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
39.1%
1 55
 
8.6%
( 52
 
8.1%
) 52
 
8.1%
2 38
 
5.9%
. 38
 
5.9%
3 29
 
4.5%
0 22
 
3.4%
7 22
 
3.4%
4 19
 
3.0%
Other values (12) 64
 
10.0%
Hangul
ValueCountFrequency (%)
동 110
 
11.9%
시 59
 
6.4%
래 53
 
5.7%
광 52
 
5.6%
산 51
 
5.5%
역 51
 
5.5%
부 50
 
5.4%
로 50
 
5.4%
구 50
 
5.4%
천 31
 
3.4%
Other values (76) 368
39.8%

사업소주소(지번)
Text

MISSING 

Distinct47
Distinct (%)97.9%
Missing2
Missing (%)4.0%
Memory size532.0 B
2023-12-11T02:17:35.209564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length24.583333
Min length13

Characters and Unicode

Total characters1180
Distinct characters78
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)95.8%

Sample

1st row부산광역시 동래구 명장동 24-14 2층
2nd row부산광역시 동래구 안락동 425-45 3층
3rd row부산광역시 동래구 온천동 1832 명륜역 대원칸타빌 1506호
4th row부산광역시 동래구 온천동 1412-1 온천동반도보라스카이뷰 104동 1호
5th row부산광역시 동래구 수안동 1-7
ValueCountFrequency (%)
부산광역시 48
19.3%
동래구 47
18.9%
온천동 19
 
7.6%
명륜동 8
 
3.2%
안락동 6
 
2.4%
1호 5
 
2.0%
수안동 5
 
2.0%
6호 4
 
1.6%
2호 4
 
1.6%
2층 4
 
1.6%
Other values (86) 99
39.8%
2023-12-11T02:17:36.126458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
17.0%
동 101
 
8.6%
광 50
 
4.2%
역 49
 
4.2%
산 49
 
4.2%
부 48
 
4.1%
시 48
 
4.1%
래 48
 
4.1%
구 48
 
4.1%
1 45
 
3.8%
Other values (68) 493
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 717
60.8%
Decimal Number 244
 
20.7%
Space Separator 201
 
17.0%
Dash Punctuation 15
 
1.3%
Close Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 101
14.1%
광 50
 
7.0%
역 49
 
6.8%
산 49
 
6.8%
부 48
 
6.7%
시 48
 
6.7%
래 48
 
6.7%
구 48
 
6.7%
호 35
 
4.9%
지 32
 
4.5%
Other values (53) 209
29.1%
Decimal Number
ValueCountFrequency (%)
1 45
18.4%
2 41
16.8%
3 33
13.5%
4 30
12.3%
5 21
8.6%
7 17
 
7.0%
8 17
 
7.0%
0 16
 
6.6%
6 15
 
6.1%
9 9
 
3.7%
Space Separator
ValueCountFrequency (%)
201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 717
60.8%
Common 462
39.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 101
14.1%
광 50
 
7.0%
역 49
 
6.8%
산 49
 
6.8%
부 48
 
6.7%
시 48
 
6.7%
래 48
 
6.7%
구 48
 
6.7%
호 35
 
4.9%
지 32
 
4.5%
Other values (53) 209
29.1%
Common
ValueCountFrequency (%)
201
43.5%
1 45
 
9.7%
2 41
 
8.9%
3 33
 
7.1%
4 30
 
6.5%
5 21
 
4.5%
7 17
 
3.7%
8 17
 
3.7%
0 16
 
3.5%
6 15
 
3.2%
Other values (4) 26
 
5.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 717
60.8%
ASCII 463
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
43.4%
1 45
 
9.7%
2 41
 
8.9%
3 33
 
7.1%
4 30
 
6.5%
5 21
 
4.5%
7 17
 
3.7%
8 17
 
3.7%
0 16
 
3.5%
6 15
 
3.2%
Other values (5) 27
 
5.8%
Hangul
ValueCountFrequency (%)
동 101
14.1%
광 50
 
7.0%
역 49
 
6.8%
산 49
 
6.8%
부 48
 
6.7%
시 48
 
6.7%
래 48
 
6.7%
구 48
 
6.7%
호 35
 
4.9%
지 32
 
4.5%
Other values (53) 209
29.1%

전화번호
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing27
Missing (%)54.0%
Memory size532.0 B
2023-12-11T02:17:36.571256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.086957
Min length12

Characters and Unicode

Total characters278
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row051-531-8881
2nd row051-557-1677
3rd row051-522-9944
4th row070-8628-8591
5th row051-557-8801
ValueCountFrequency (%)
051-531-8881 1
 
4.0%
558 1
 
4.0%
051-505-9777 1
 
4.0%
051-556-2861 1
 
4.0%
051-553-7989 1
 
4.0%
051-557-0017 1
 
4.0%
051-554-4178 1
 
4.0%
051-557-3536 1
 
4.0%
051-556-8784 1
 
4.0%
051-582-8836 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T02:17:37.304780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 66
23.7%
- 44
15.8%
0 39
14.0%
1 33
11.9%
8 25
 
9.0%
7 24
 
8.6%
6 13
 
4.7%
4 10
 
3.6%
3 9
 
3.2%
9 7
 
2.5%
Other values (2) 8
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 232
83.5%
Dash Punctuation 44
 
15.8%
Space Separator 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 66
28.4%
0 39
16.8%
1 33
14.2%
8 25
 
10.8%
7 24
 
10.3%
6 13
 
5.6%
4 10
 
4.3%
3 9
 
3.9%
9 7
 
3.0%
2 6
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 66
23.7%
- 44
15.8%
0 39
14.0%
1 33
11.9%
8 25
 
9.0%
7 24
 
8.6%
6 13
 
4.7%
4 10
 
3.6%
3 9
 
3.2%
9 7
 
2.5%
Other values (2) 8
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 66
23.7%
- 44
15.8%
0 39
14.0%
1 33
11.9%
8 25
 
9.0%
7 24
 
8.6%
6 13
 
4.7%
4 10
 
3.6%
3 9
 
3.2%
9 7
 
2.5%
Other values (2) 8
 
2.9%

등록일
Date

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum1998-07-07 00:00:00
Maximum2022-03-28 00:00:00
2023-12-11T02:17:37.621371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:17:37.930559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-11T02:17:38.136545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유무료구분법인명법인개인구분사업소주소(도로명)사업소주소(지번)전화번호등록일
유무료구분1.0001.0000.0001.0000.000NaN1.000
법인명1.0001.0001.0001.0001.0001.0001.000
법인개인구분0.0001.0001.0001.0000.0001.0001.000
사업소주소(도로명)1.0001.0001.0001.0001.0001.0001.000
사업소주소(지번)0.0001.0000.0001.0001.0001.0001.000
전화번호NaN1.0001.0001.0001.0001.0001.000
등록일1.0001.0001.0001.0001.0001.0001.000
2023-12-11T02:17:38.368219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인개인구분유무료구분
법인개인구분1.0000.000
유무료구분0.0001.000
2023-12-11T02:17:38.550153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유무료구분법인개인구분
유무료구분1.0000.000
법인개인구분0.0001.000

Missing values

2023-12-11T02:17:30.383993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:17:30.692771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T02:17:30.942475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

유무료구분법인명법인개인구분사업소주소(도로명)사업소주소(지번)전화번호등록일
0유료부산일등인력개인부산광역시 동래구 시실로 208. 2층 (명장동)부산광역시 동래구 명장동 24-14 2층051-531-88812022-03-28
1유료송남인력소개소개인부산광역시 동래구 반송로 220. 3층 (안락동)부산광역시 동래구 안락동 425-45 3층<NA>2022-02-07
2유료아가맘스마일케어 북부산지점개인부산광역시 동래구 온천장로 21. 명륜역 대원칸타빌 1506호 (온천동)부산광역시 동래구 온천동 1832 명륜역 대원칸타빌 1506호<NA>2021-12-22
3유료세정인력개인부산광역시 동래구 아시아드대로 234. 104동 1층 1호 (온천동. 온천동반도보라스카이뷰)부산광역시 동래구 온천동 1412-1 온천동반도보라스카이뷰 104동 1호<NA>2021-07-01
4유료BRIDGE개인부산광역시 동래구 충렬대로202번가길 3. 남영빌딩 1층 102호 (수안동)부산광역시 동래구 수안동 1-7<NA>2021-06-15
5유료필인력개발개인부산광역시 동래구 서동중심로 4. 608호 (명장동)부산광역시 동래구 명장동 489-2<NA>2021-04-23
6유료그린인력개발개인부산광역시 동래구 충렬대로 84. 1층 (온천동)부산광역시 동래구 온천동 1423-8 1층<NA>2021-02-26
7유료대성개발 직업소개소개인부산광역시 동래구 충렬대로375번길 13 (안락동)부산광역시 동래구 안락동 432-50<NA>2021-01-09
8유료아주노무법인법인부산광역시 동래구 충렬대로 103. 미남럭키빌딩 4층 (온천동)부산광역시 동래구 온천동 1428-43 미남럭키빌딩<NA>2020-12-27
9유료가람종합개발개인부산광역시 동래구 충렬대로 439. 3층 (안락동)부산광역시 동래구 안락동 293-3 3층<NA>2020-11-16
유무료구분법인명법인개인구분사업소주소(도로명)사업소주소(지번)전화번호등록일
40유료농심취업컨설팅개인부산광역시 동래구 충렬대로237번길 237-90 (복천동)부산광역시 동래구 복천동 380번지 5호051-553-03442005-06-21
41유료세븐직업소개소개인부산광역시 동래구 명륜로94번길 16 (수안동)부산광역시 동래구 수안동 593호051-582-88362005-04-21
42유료파출박사직업소개소개인부산광역시 동래구 충렬대로 177 (명륜동)부산광역시 동래구 명륜동 533번지 81호051-556-87842004-10-25
43유료모두모아개발개인부산광역시 동래구 충렬대로155번길 25 (온천동)부산광역시 동래구 온천동 1437번지 50호051-557-35362003-06-24
44유료진실직업소개소개인부산광역시 동래구 명륜로 146-3 (명륜동)부산광역시 동래구 명륜동 564번지 6호051-554-41782002-02-28
45유료소망직업소개소개인부산광역시 동래구 충렬대로 227 (수안동)부산광역시 동래구 수안동 226번지 1호051-557-00172002-01-09
46유료조은가사원직업소개소개인부산광역시 동래구 명륜로112번길 74. 지하1층 (수안동)부산광역시 동래구 수안동 367-3 지하1층051-553-79892000-12-01
47유료김재효직업소개소개인부산광역시 동래구 충렬대로 329 (안락동)부산광역시 동래구 안락동 797번지 2호051-556-28611998-11-14
48유료잡 제이 직업소개소개인부산광역시 동래구 아시아드대로 237 (온천동)부산광역시 동래구 온천동 1248번지 16호051-505-97771998-07-20
49유료유숙남직업소개소개인부산광역시 동래구 충렬대로237번길 96 (복천동)부산광역시 동래구 복천동 380번지 8호051-553-01171998-07-07