Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells17
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory69.4 B

Variable types

Numeric1
Categorical3
Text4

Dataset

Description부산광역시중구_직업소개소등록현황_20230803
Author부산광역시 중구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3073504

Alerts

운영상태 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
유무료구분 is highly overall correlated with 운영상태High correlation
법인개인구분 is highly overall correlated with 운영상태High correlation
순번 is highly overall correlated with 운영상태High correlation
유무료구분 is highly imbalanced (73.5%)Imbalance
운영상태 is highly imbalanced (78.9%)Imbalance
순번 has 1 (3.3%) missing valuesMissing
법인명 has 1 (3.3%) missing valuesMissing
법인대표자명 has 1 (3.3%) missing valuesMissing
사업소전화번호 has 13 (43.3%) missing valuesMissing
사업소주소 has 1 (3.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:45:13.495924
Analysis finished2023-12-10 16:45:14.265843
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct29
Distinct (%)100.0%
Missing1
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T01:45:14.327342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-11T01:45:14.444660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.3%
2 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
22 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%
20 1
3.3%

유무료구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
유료
28 
무료
 
1
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0666667
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
유료 28
93.3%
무료 1
 
3.3%
<NA> 1
 
3.3%

Length

2023-12-11T01:45:14.586199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:45:14.782004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 28
93.3%
무료 1
 
3.3%
na 1
 
3.3%

법인명
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing1
Missing (%)3.3%
Memory size372.0 B
2023-12-11T01:45:15.012695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.7241379
Min length4

Characters and Unicode

Total characters224
Distinct characters96
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row주식회사 미르인터내셔날
2nd row(주)임스코
3rd row디비글로벌
4th row에이치씨휴먼(주)
5th row태백링크인
ValueCountFrequency (%)
주식회사 3
 
9.1%
상상직업소개소 1
 
3.0%
박기붕직업소개소 1
 
3.0%
남포직업소개소 1
 
3.0%
13직업소개소 1
 
3.0%
대우취업정보사 1
 
3.0%
국제인력개발 1
 
3.0%
에스티에스시스템 1
 
3.0%
천사직업소개소 1
 
3.0%
나이스직업소개소 1
 
3.0%
Other values (21) 21
63.6%
2023-12-11T01:45:15.453727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 25
 
11.2%
개 14
 
6.2%
업 13
 
5.8%
직 12
 
5.4%
주 8
 
3.6%
스 7
 
3.1%
사 6
 
2.7%
인 5
 
2.2%
회 5
 
2.2%
( 5
 
2.2%
Other values (86) 124
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
92.9%
Open Punctuation 5
 
2.2%
Close Punctuation 5
 
2.2%
Space Separator 4
 
1.8%
Decimal Number 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 25
 
12.0%
개 14
 
6.7%
업 13
 
6.2%
직 12
 
5.8%
주 8
 
3.8%
스 7
 
3.4%
사 6
 
2.9%
인 5
 
2.4%
회 5
 
2.4%
이 4
 
1.9%
Other values (81) 109
52.4%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
92.9%
Common 16
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 25
 
12.0%
개 14
 
6.7%
업 13
 
6.2%
직 12
 
5.8%
주 8
 
3.8%
스 7
 
3.4%
사 6
 
2.9%
인 5
 
2.4%
회 5
 
2.4%
이 4
 
1.9%
Other values (81) 109
52.4%
Common
ValueCountFrequency (%)
( 5
31.2%
) 5
31.2%
4
25.0%
1 1
 
6.2%
3 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
92.9%
ASCII 16
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 25
 
12.0%
개 14
 
6.7%
업 13
 
6.2%
직 12
 
5.8%
주 8
 
3.8%
스 7
 
3.4%
사 6
 
2.9%
인 5
 
2.4%
회 5
 
2.4%
이 4
 
1.9%
Other values (81) 109
52.4%
ASCII
ValueCountFrequency (%)
( 5
31.2%
) 5
31.2%
4
25.0%
1 1
 
6.2%
3 1
 
6.2%

법인대표자명
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing1
Missing (%)3.3%
Memory size372.0 B
2023-12-11T01:45:15.708841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9655172
Min length2

Characters and Unicode

Total characters86
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row조규현
2nd row김종화
3rd row김동수
4th row김성호
5th row유수정
ValueCountFrequency (%)
조규현 1
 
3.4%
김영홍 1
 
3.4%
박기붕 1
 
3.4%
우경희 1
 
3.4%
정봉섭 1
 
3.4%
홍민자 1
 
3.4%
김약 1
 
3.4%
이장호 1
 
3.4%
이영래 1
 
3.4%
강중영 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T01:45:16.144275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 8
 
9.3%
이 6
 
7.0%
영 4
 
4.7%
수 4
 
4.7%
정 3
 
3.5%
호 3
 
3.5%
홍 2
 
2.3%
봉 2
 
2.3%
규 2
 
2.3%
혁 2
 
2.3%
Other values (43) 50
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
9.3%
이 6
 
7.0%
영 4
 
4.7%
수 4
 
4.7%
정 3
 
3.5%
호 3
 
3.5%
홍 2
 
2.3%
봉 2
 
2.3%
규 2
 
2.3%
혁 2
 
2.3%
Other values (43) 50
58.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
9.3%
이 6
 
7.0%
영 4
 
4.7%
수 4
 
4.7%
정 3
 
3.5%
호 3
 
3.5%
홍 2
 
2.3%
봉 2
 
2.3%
규 2
 
2.3%
혁 2
 
2.3%
Other values (43) 50
58.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 8
 
9.3%
이 6
 
7.0%
영 4
 
4.7%
수 4
 
4.7%
정 3
 
3.5%
호 3
 
3.5%
홍 2
 
2.3%
봉 2
 
2.3%
규 2
 
2.3%
혁 2
 
2.3%
Other values (43) 50
58.1%

법인개인구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
개인
20 
법인
9 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0666667
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
개인 20
66.7%
법인 9
30.0%
<NA> 1
 
3.3%

Length

2023-12-11T01:45:16.361562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:45:16.485930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 20
66.7%
법인 9
30.0%
na 1
 
3.3%

운영상태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업중
29 
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0333333
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 29
96.7%
<NA> 1
 
3.3%

Length

2023-12-11T01:45:16.600895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:45:16.730769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 29
96.7%
na 1
 
3.3%

사업소전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing13
Missing (%)43.3%
Memory size372.0 B
2023-12-11T01:45:16.962327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters204
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row051-466-3827
2nd row051-469-9820
3rd row051-710-1995
4th row051-414-3579
5th row051-242-6678
ValueCountFrequency (%)
051-466-3827 1
 
5.9%
051-468-1988 1
 
5.9%
051-441-5200 1
 
5.9%
051-247-9055 1
 
5.9%
051-442-5902 1
 
5.9%
051-465-8259 1
 
5.9%
051-231-3342 1
 
5.9%
051-246-0666 1
 
5.9%
051-256-0566 1
 
5.9%
051-469-9820 1
 
5.9%
Other values (7) 7
41.2%
2023-12-11T01:45:17.436327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 34
16.7%
0 30
14.7%
5 28
13.7%
1 27
13.2%
4 18
8.8%
2 17
8.3%
6 15
7.4%
9 12
 
5.9%
7 9
 
4.4%
8 8
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 170
83.3%
Dash Punctuation 34
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
17.6%
5 28
16.5%
1 27
15.9%
4 18
10.6%
2 17
10.0%
6 15
8.8%
9 12
 
7.1%
7 9
 
5.3%
8 8
 
4.7%
3 6
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 34
16.7%
0 30
14.7%
5 28
13.7%
1 27
13.2%
4 18
8.8%
2 17
8.3%
6 15
7.4%
9 12
 
5.9%
7 9
 
4.4%
8 8
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 34
16.7%
0 30
14.7%
5 28
13.7%
1 27
13.2%
4 18
8.8%
2 17
8.3%
6 15
7.4%
9 12
 
5.9%
7 9
 
4.4%
8 8
 
3.9%

사업소주소
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing1
Missing (%)3.3%
Memory size372.0 B
2023-12-11T01:45:17.792592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length30.275862
Min length24

Characters and Unicode

Total characters878
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 중앙대로 154. 4층 402호 (중앙동4가)
2nd row부산광역시 중구 중앙대로 117. 독일빌딩 7층 702호 (대창동1가)
3rd row부산광역시 중구 중앙대로 124-2. 2층 202호 (중앙동4가)
4th row부산광역시 중구 자갈치로 42. 신동아빌딩 4층 409-1호 (남포동5가)
5th row부산광역시 중구 중앙대로 141. 2층 202호 (대창동2가)
ValueCountFrequency (%)
부산광역시 29
 
16.9%
중구 29
 
16.9%
중앙동4가 8
 
4.7%
중앙대로 7
 
4.1%
남포동5가 5
 
2.9%
자갈치로 5
 
2.9%
2층 4
 
2.3%
4층 4
 
2.3%
3층 4
 
2.3%
남포동6가 3
 
1.7%
Other values (65) 74
43.0%
2023-12-11T01:45:18.330124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
 
16.3%
중 46
 
5.2%
부 34
 
3.9%
구 33
 
3.8%
4 31
 
3.5%
광 31
 
3.5%
동 30
 
3.4%
2 30
 
3.4%
산 29
 
3.3%
) 29
 
3.3%
Other values (45) 442
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 481
54.8%
Decimal Number 166
 
18.9%
Space Separator 143
 
16.3%
Close Punctuation 29
 
3.3%
Open Punctuation 29
 
3.3%
Other Punctuation 17
 
1.9%
Dash Punctuation 13
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 46
 
9.6%
부 34
 
7.1%
구 33
 
6.9%
광 31
 
6.4%
동 30
 
6.2%
산 29
 
6.0%
가 29
 
6.0%
역 29
 
6.0%
로 29
 
6.0%
시 29
 
6.0%
Other values (30) 162
33.7%
Decimal Number
ValueCountFrequency (%)
4 31
18.7%
2 30
18.1%
1 28
16.9%
3 19
11.4%
0 15
9.0%
5 12
 
7.2%
6 9
 
5.4%
7 8
 
4.8%
8 7
 
4.2%
9 7
 
4.2%
Space Separator
ValueCountFrequency (%)
143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
. 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 481
54.8%
Common 397
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 46
 
9.6%
부 34
 
7.1%
구 33
 
6.9%
광 31
 
6.4%
동 30
 
6.2%
산 29
 
6.0%
가 29
 
6.0%
역 29
 
6.0%
로 29
 
6.0%
시 29
 
6.0%
Other values (30) 162
33.7%
Common
ValueCountFrequency (%)
143
36.0%
4 31
 
7.8%
2 30
 
7.6%
) 29
 
7.3%
( 29
 
7.3%
1 28
 
7.1%
3 19
 
4.8%
. 17
 
4.3%
0 15
 
3.8%
- 13
 
3.3%
Other values (5) 43
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 481
54.8%
ASCII 397
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
36.0%
4 31
 
7.8%
2 30
 
7.6%
) 29
 
7.3%
( 29
 
7.3%
1 28
 
7.1%
3 19
 
4.8%
. 17
 
4.3%
0 15
 
3.8%
- 13
 
3.3%
Other values (5) 43
 
10.8%
Hangul
ValueCountFrequency (%)
중 46
 
9.6%
부 34
 
7.1%
구 33
 
6.9%
광 31
 
6.4%
동 30
 
6.2%
산 29
 
6.0%
가 29
 
6.0%
역 29
 
6.0%
로 29
 
6.0%
시 29
 
6.0%
Other values (30) 162
33.7%

Interactions

2023-12-11T01:45:13.823325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:45:18.468412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분법인명법인대표자명법인개인구분사업소전화번호사업소주소
순번1.0000.0001.0001.0000.6081.0001.000
유무료구분0.0001.0001.0001.0000.0001.0001.000
법인명1.0001.0001.0001.0001.0001.0001.000
법인대표자명1.0001.0001.0001.0001.0001.0001.000
법인개인구분0.6080.0001.0001.0001.0001.0001.000
사업소전화번호1.0001.0001.0001.0001.0001.0001.000
사업소주소1.0001.0001.0001.0001.0001.0001.000
2023-12-11T01:45:18.595830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영상태유무료구분법인개인구분
운영상태1.0001.0001.000
유무료구분1.0001.0000.000
법인개인구분1.0000.0001.000
2023-12-11T01:45:18.711384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분법인개인구분운영상태
순번1.0000.0000.3831.000
유무료구분0.0001.0000.0001.000
법인개인구분0.3830.0001.0001.000
운영상태1.0001.0001.0001.000

Missing values

2023-12-11T01:45:13.931539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:45:14.047633image/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.
2023-12-11T01:45:14.175712image/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

순번유무료구분법인명법인대표자명법인개인구분운영상태사업소전화번호사업소주소
01유료주식회사 미르인터내셔날조규현법인영업중<NA>부산광역시 중구 중앙대로 154. 4층 402호 (중앙동4가)
12유료(주)임스코김종화법인영업중051-466-3827부산광역시 중구 중앙대로 117. 독일빌딩 7층 702호 (대창동1가)
23유료디비글로벌김동수개인영업중051-469-9820부산광역시 중구 중앙대로 124-2. 2층 202호 (중앙동4가)
34유료에이치씨휴먼(주)김성호법인영업중051-710-1995부산광역시 중구 자갈치로 42. 신동아빌딩 4층 409-1호 (남포동5가)
45유료태백링크인유수정개인영업중<NA>부산광역시 중구 중앙대로 141. 2층 202호 (대창동2가)
56유료대호글로벌(주)이창윤법인영업중051-414-3579부산광역시 중구 자갈치로 52. 3층 1호 (남포동5가)
67유료(주)에이치알리쿠르트서청관법인영업중<NA>부산광역시 중구 중앙대로93번길 3. 2층 (중앙동4가)
78유료(주)아시아인재개발원고영욱법인영업중<NA>부산광역시 중구 충장대로13번길 14. 101호 (중앙동4가)
89유료오성간병이은희개인영업중<NA>부산광역시 중구 대청로 68-2. 2층 (부평동1가)
910유료나눔행복정규득개인영업중<NA>부산광역시 중구 대청로 39-1. 4층 (보수동2가)
순번유무료구분법인명법인대표자명법인개인구분운영상태사업소전화번호사업소주소
2021유료나이스직업소개소강중영개인영업중051-246-0666부산광역시 중구 보수대로36번길 10-0 (부평동3가)
2122유료천사직업소개소이영래개인영업중051-231-3342부산광역시 중구 광복로85번길 4-1 (광복동1가)
2223유료에스티에스시스템이장호개인영업중051-465-8259부산광역시 중구 중앙대로 93-3 (중앙동4가)
2324유료국제인력개발김약개인영업중051-442-5902부산광역시 중구 중앙대로 144 (중앙동4가)
2425유료대우취업정보사홍민자개인영업중<NA>부산광역시 중구 태종로 4-1 (남포동1가)
2526유료13직업소개소정봉섭개인영업중<NA>부산광역시 중구 자갈치로37번길 6-1 (남포동5가)
2627유료남포직업소개소우경희개인영업중051-247-9055부산광역시 중구 자갈치로 82 (남포동4가)
2728유료박기붕직업소개소박기붕개인영업중051-441-5200부산광역시 중구 자갈치로 78 (남포동4가)
2829유료일월직업소개소김석수개인영업중051-247-8007부산광역시 중구 보수대로24번길 5 (부평동2가)
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