Overview

Dataset statistics

Number of variables8
Number of observations42
Missing cells12
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory68.1 B

Variable types

Numeric1
Categorical2
Text4
DateTime1

Dataset

Description「직업안정법」 상 직업소개사업을 위한 신고,등록을 한 자가 해당 사업자에게 신청한 구인자,구직자를 대상으로 자격 있는 직업상담원으로 하여금 직업상담을 통해 구인조건에 적합한 구직자를 알선하여 고용계약이 성립되도록 하는 부산 동구 관내 직업소개소 현황(직업소개소명, 주소, 전화번호)을 제공합니다.
URLhttps://www.data.go.kr/data/3079410/fileData.do

Alerts

운영상태 has constant value ""Constant
사업소전화번호 has 12 (28.6%) missing valuesMissing
순번 has unique valuesUnique
사업소명 has unique valuesUnique
사업소주소 has unique valuesUnique
대표자 성명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:07:56.095268
Analysis finished2023-12-12 21:07:56.788660
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T06:07:56.858260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-13T06:07:56.990759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

유무료구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
유료
33 
무료

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 33
78.6%
무료 9
 
21.4%

Length

2023-12-13T06:07:57.145014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:07:57.241500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 33
78.6%
무료 9
 
21.4%

사업소명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T06:07:57.408853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length16.5
Mean length10.119048
Min length3

Characters and Unicode

Total characters425
Distinct characters131
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row블루마리타임
2nd row티엠에스글로벌 주식회사
3rd row위드잡
4th row한국해양고용센터
5th row사단법인 부산광역시 장애인?년연합회
ValueCountFrequency (%)
주식회사 3
 
5.3%
인력개발 2
 
3.5%
부산광역시 2
 
3.5%
사)한국여성장애인연합 1
 
1.8%
산장협취업알선무료직업소개소 1
 
1.8%
동행간병플러스 1
 
1.8%
수호천사요양간병협회 1
 
1.8%
에스엔시(주 1
 
1.8%
j이j이 1
 
1.8%
동구쪽방상담소 1
 
1.8%
Other values (43) 43
75.4%
2023-12-13T06:07:57.775681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
4.0%
15
 
3.5%
15
 
3.5%
14
 
3.3%
14
 
3.3%
13
 
3.1%
13
 
3.1%
12
 
2.8%
) 11
 
2.6%
( 11
 
2.6%
Other values (121) 290
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
89.9%
Space Separator 15
 
3.5%
Close Punctuation 11
 
2.6%
Open Punctuation 11
 
2.6%
Other Punctuation 4
 
0.9%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
4.5%
15
 
3.9%
14
 
3.7%
14
 
3.7%
13
 
3.4%
13
 
3.4%
12
 
3.1%
10
 
2.6%
9
 
2.4%
9
 
2.4%
Other values (115) 256
67.0%
Other Punctuation
ValueCountFrequency (%)
3
75.0%
? 1
 
25.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
89.4%
Common 41
 
9.6%
Latin 2
 
0.5%
Han 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
4.5%
15
 
3.9%
14
 
3.7%
14
 
3.7%
13
 
3.4%
13
 
3.4%
12
 
3.2%
10
 
2.6%
9
 
2.4%
9
 
2.4%
Other values (113) 254
66.8%
Common
ValueCountFrequency (%)
15
36.6%
) 11
26.8%
( 11
26.8%
3
 
7.3%
? 1
 
2.4%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%
Latin
ValueCountFrequency (%)
J 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
89.4%
ASCII 40
 
9.4%
None 3
 
0.7%
CJK 2
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
17
 
4.5%
15
 
3.9%
14
 
3.7%
14
 
3.7%
13
 
3.4%
13
 
3.4%
12
 
3.2%
10
 
2.6%
9
 
2.4%
9
 
2.4%
Other values (113) 254
66.8%
ASCII
ValueCountFrequency (%)
15
37.5%
) 11
27.5%
( 11
27.5%
J 2
 
5.0%
? 1
 
2.5%
None
ValueCountFrequency (%)
3
100.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업중
42 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 42
100.0%

Length

2023-12-13T06:07:57.916919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:07:57.999333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 42
100.0%

사업소주소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T06:07:58.222569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38.5
Mean length33.97619
Min length23

Characters and Unicode

Total characters1427
Distinct characters92
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 중앙대로180번길 6-11, 302호 (초량동)
2nd row부산광역시 동구 중앙대로236번길 7-3, 성웅빌딩 2층 201호 (초량동)
3rd row부산광역시 동구 중앙대로 270, 강남빌딩 7층 701호 (초량동)
4th row부산광역시 동구 중앙대로196번길 6-7, 202호 (초량동)
5th row부산광역시 동구 중앙대로196번길 12-3, 10층 (초량동)
ValueCountFrequency (%)
부산광역시 42
 
14.9%
동구 42
 
14.9%
초량동 20
 
7.1%
3층 12
 
4.3%
범일동 11
 
3.9%
중앙대로196번길 7
 
2.5%
중앙대로 7
 
2.5%
고관로 6
 
2.1%
12-3, 5
 
1.8%
조방로 5
 
1.8%
Other values (104) 124
44.1%
2023-12-13T06:07:58.590882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
239
 
16.7%
89
 
6.2%
1 69
 
4.8%
3 48
 
3.4%
47
 
3.3%
47
 
3.3%
45
 
3.2%
( 42
 
2.9%
) 42
 
2.9%
42
 
2.9%
Other values (82) 717
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 772
54.1%
Decimal Number 261
 
18.3%
Space Separator 239
 
16.7%
Other Punctuation 45
 
3.2%
Open Punctuation 42
 
2.9%
Close Punctuation 42
 
2.9%
Dash Punctuation 20
 
1.4%
Uppercase Letter 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
89
 
11.5%
47
 
6.1%
47
 
6.1%
42
 
5.4%
42
 
5.4%
42
 
5.4%
42
 
5.4%
42
 
5.4%
25
 
3.2%
25
 
3.2%
Other values (61) 329
42.6%
Decimal Number
ValueCountFrequency (%)
1 69
26.4%
3 48
18.4%
2 41
15.7%
0 28
10.7%
6 20
 
7.7%
9 20
 
7.7%
4 13
 
5.0%
7 11
 
4.2%
8 9
 
3.4%
5 2
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
Y 1
16.7%
M 1
16.7%
T 1
16.7%
K 1
16.7%
A 1
16.7%
C 1
16.7%
Space Separator
ValueCountFrequency (%)
239
100.0%
Other Punctuation
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 772
54.1%
Common 649
45.5%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
89
 
11.5%
47
 
6.1%
47
 
6.1%
42
 
5.4%
42
 
5.4%
42
 
5.4%
42
 
5.4%
42
 
5.4%
25
 
3.2%
25
 
3.2%
Other values (61) 329
42.6%
Common
ValueCountFrequency (%)
239
36.8%
1 69
 
10.6%
3 48
 
7.4%
45
 
6.9%
( 42
 
6.5%
) 42
 
6.5%
2 41
 
6.3%
0 28
 
4.3%
6 20
 
3.1%
- 20
 
3.1%
Other values (5) 55
 
8.5%
Latin
ValueCountFrequency (%)
Y 1
16.7%
M 1
16.7%
T 1
16.7%
K 1
16.7%
A 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 772
54.1%
ASCII 610
42.7%
None 45
 
3.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
239
39.2%
1 69
 
11.3%
3 48
 
7.9%
( 42
 
6.9%
) 42
 
6.9%
2 41
 
6.7%
0 28
 
4.6%
6 20
 
3.3%
- 20
 
3.3%
9 20
 
3.3%
Other values (10) 41
 
6.7%
Hangul
ValueCountFrequency (%)
89
 
11.5%
47
 
6.1%
47
 
6.1%
42
 
5.4%
42
 
5.4%
42
 
5.4%
42
 
5.4%
42
 
5.4%
25
 
3.2%
25
 
3.2%
Other values (61) 329
42.6%
None
ValueCountFrequency (%)
45
100.0%

사업소전화번호
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing12
Missing (%)28.6%
Memory size468.0 B
2023-12-13T06:07:58.791393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.933333
Min length9

Characters and Unicode

Total characters358
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

Unique30 ?
Unique (%)100.0%

Sample

1st row051-464-9663
2nd row051-405-0880
3rd row051-555-0501
4th row1877-6199
5th row051-465-1942
ValueCountFrequency (%)
051-757-5759 1
 
3.1%
051-555-0501 1
 
3.1%
051-506-7982 1
 
3.1%
051-633-6333 1
 
3.1%
051-863-0650 1
 
3.1%
051-442-4410 1
 
3.1%
051-464-1604 1
 
3.1%
051-647-0441 1
 
3.1%
051-416-2070 1
 
3.1%
051-631-9199 1
 
3.1%
Other values (22) 22
68.8%
2023-12-13T06:07:59.106391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 57
15.9%
1 54
15.1%
0 52
14.5%
5 49
13.7%
6 32
8.9%
4 30
8.4%
7 22
 
6.1%
9 19
 
5.3%
3 16
 
4.5%
8 14
 
3.9%
Other values (2) 13
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 299
83.5%
Dash Punctuation 57
 
15.9%
Space Separator 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 54
18.1%
0 52
17.4%
5 49
16.4%
6 32
10.7%
4 30
10.0%
7 22
7.4%
9 19
 
6.4%
3 16
 
5.4%
8 14
 
4.7%
2 11
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 358
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 57
15.9%
1 54
15.1%
0 52
14.5%
5 49
13.7%
6 32
8.9%
4 30
8.4%
7 22
 
6.1%
9 19
 
5.3%
3 16
 
4.5%
8 14
 
3.9%
Other values (2) 13
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 358
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 57
15.9%
1 54
15.1%
0 52
14.5%
5 49
13.7%
6 32
8.9%
4 30
8.4%
7 22
 
6.1%
9 19
 
5.3%
3 16
 
4.5%
8 14
 
3.9%
Other values (2) 13
 
3.6%

대표자 성명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T06:07:59.320382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters126
Distinct characters64
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

Unique42 ?
Unique (%)100.0%

Sample

1st row김미영
2nd row박인만
3rd row서현숙
4th row윤채원
5th row박진영
ValueCountFrequency (%)
김미영 1
 
2.4%
송미화 1
 
2.4%
안성준 1
 
2.4%
성경식 1
 
2.4%
이경희 1
 
2.4%
김수엽 1
 
2.4%
정해은 1
 
2.4%
안하원 1
 
2.4%
박영석 1
 
2.4%
주성수 1
 
2.4%
Other values (32) 32
76.2%
2023-12-13T06:07:59.681434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
7.1%
6
 
4.8%
6
 
4.8%
6
 
4.8%
5
 
4.0%
5
 
4.0%
5
 
4.0%
4
 
3.2%
4
 
3.2%
4
 
3.2%
Other values (54) 72
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
 
7.1%
6
 
4.8%
6
 
4.8%
6
 
4.8%
5
 
4.0%
5
 
4.0%
5
 
4.0%
4
 
3.2%
4
 
3.2%
4
 
3.2%
Other values (54) 72
57.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
 
7.1%
6
 
4.8%
6
 
4.8%
6
 
4.8%
5
 
4.0%
5
 
4.0%
5
 
4.0%
4
 
3.2%
4
 
3.2%
4
 
3.2%
Other values (54) 72
57.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9
 
7.1%
6
 
4.8%
6
 
4.8%
6
 
4.8%
5
 
4.0%
5
 
4.0%
5
 
4.0%
4
 
3.2%
4
 
3.2%
4
 
3.2%
Other values (54) 72
57.1%
Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum1998-05-18 00:00:00
Maximum2022-12-20 00:00:00
2023-12-13T06:07:59.927017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:08:00.147084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

Interactions

2023-12-13T06:07:56.484560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:08:00.280849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분사업소명사업소주소사업소전화번호대표자 성명등록일자
순번1.0000.1311.0001.0001.0001.0001.000
유무료구분0.1311.0001.0001.0001.0001.0001.000
사업소명1.0001.0001.0001.0001.0001.0001.000
사업소주소1.0001.0001.0001.0001.0001.0001.000
사업소전화번호1.0001.0001.0001.0001.0001.0001.000
대표자 성명1.0001.0001.0001.0001.0001.0001.000
등록일자1.0001.0001.0001.0001.0001.0001.000
2023-12-13T06:08:00.409844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분
순번1.0000.053
유무료구분0.0531.000

Missing values

2023-12-13T06:07:56.602286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:07:56.741271image/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.

Sample

순번유무료구분사업소명운영상태사업소주소사업소전화번호대표자 성명등록일자
01유료블루마리타임영업중부산광역시 동구 중앙대로180번길 6-11, 302호 (초량동)051-464-9663김미영2022-12-20
12유료티엠에스글로벌 주식회사영업중부산광역시 동구 중앙대로236번길 7-3, 성웅빌딩 2층 201호 (초량동)051-405-0880박인만2022-11-21
23유료위드잡영업중부산광역시 동구 중앙대로 270, 강남빌딩 7층 701호 (초량동)<NA>서현숙2022-11-02
34유료한국해양고용센터영업중부산광역시 동구 중앙대로196번길 6-7, 202호 (초량동)<NA>윤채원2022-10-17
45무료사단법인 부산광역시 장애인?년연합회영업중부산광역시 동구 중앙대로196번길 12-3, 10층 (초량동)051-555-0501박진영2022-04-21
56유료(주) 비주솔루션영업중부산광역시 동구 중앙대로296번길 3-3, 극동빌딩 203호 (초량동)1877-6199박지윤2022-04-07
67무료부산광역시 장애인일자리통합지원센터영업중부산광역시 동구 중앙대로196번길 12-3, 부산장애인종합회관 3층 (초량동)051-465-1942구철수2022-02-09
78유료정다운인력영업중부산광역시 동구 고관로 129-1, 3층 (수정동)051-638-1316김미경2021-12-08
89유료미소천사 간병서비스영업중부산광역시 동구 범일로102번길 18, 3층 (범일동)<NA>정찬국2021-08-20
910유료주식회사 정성네트웍스영업중부산광역시 동구 중앙대로 288, 홍인빌딩 804호 (초량동)<NA>박인성2021-08-12
순번유무료구분사업소명운영상태사업소주소사업소전화번호대표자 성명등록일자
3233무료(사)한국여성장애인연합 부산여성장애인연대영업중부산광역시 동구 중앙대로196번길 12-3, 4층 (초량동)051-517-9669이숙희2013-01-25
3334무료부산광역시일일취업안내소영업중부산광역시 동구 중앙대로 311 (초량동)051-631-9199채광수2012-11-20
3435유료안인환직업소개소영업중부산광역시 동구 중앙대로 213 (초량동)051-416-2070안인환2012-08-31
3536무료(사단)부산경영자총협회,(사)부산경영자총협회무료직업소개소 양정지점,(사단)부산경영자총협회 동부산지소,(사)부산경영자총협회 서부산지소영업중부산광역시 동구 조방로 14, 11층 1102호 (범일동, 동일타워)051-647-0441심상균2012-04-25
3637유료인창개발영업중부산광역시 동구 고관로 39-1, 3층 (초량동)051-464-1604이영호2011-06-22
3738유료(주)미래개발영업중부산광역시 동구 고관로 73-1 (수정동)051-442-4410안동선2009-10-16
3839무료부산장애인총연합회취업지원센터영업중부산광역시 동구 중앙대로196번길 12-3, 9층 (초량동, 부산장애인종합회관)051-863-0650조창용2009-09-16
3940유료성모케어협회영업중부산광역시 동구 중앙대로 267, 신동빌딩 201호 (초량동)051-633-6333하남숙2006-02-08
4041무료산장협취업알선무료직업소개소영업중부산광역시 동구 중앙대로196번길 12-3, 7층 (초량동, 부산장애인종합회관)051-807-0091안성준2003-08-14
4142유료한국간병협회영업중부산광역시 동구 고관로 119-1(수정동)<NA>김경애1998-05-18