Overview

Dataset statistics

Number of variables6
Number of observations1073
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.5 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description경상남도에 등록되어 운영되고 있는 유료 직업소개소에 대한 정보로, 업체명과 업체 주소 및 개소 날짜 등에 대한 현황입니다
Author경상남도
URLhttps://www.data.go.kr/data/15102840/fileData.do

Alerts

번호 is highly overall correlated with 등록기관명 and 1 other fieldsHigh correlation
등록기관명 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
비고 is highly imbalanced (79.9%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:30:27.920222
Analysis finished2023-12-12 11:30:29.252314
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1073
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean537
Minimum1
Maximum1073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-12T20:30:29.399662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile54.6
Q1269
median537
Q3805
95-th percentile1019.4
Maximum1073
Range1072
Interquartile range (IQR)536

Descriptive statistics

Standard deviation309.89272
Coefficient of variation (CV)0.57708142
Kurtosis-1.2
Mean537
Median Absolute Deviation (MAD)268
Skewness0
Sum576201
Variance96033.5
MonotonicityStrictly increasing
2023-12-12T20:30:29.647406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
722 1
 
0.1%
708 1
 
0.1%
709 1
 
0.1%
710 1
 
0.1%
711 1
 
0.1%
712 1
 
0.1%
713 1
 
0.1%
714 1
 
0.1%
715 1
 
0.1%
Other values (1063) 1063
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1073 1
0.1%
1072 1
0.1%
1071 1
0.1%
1070 1
0.1%
1069 1
0.1%
1068 1
0.1%
1067 1
0.1%
1066 1
0.1%
1065 1
0.1%
1064 1
0.1%

등록기관명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
경상남도 창원시
343 
경상남도 김해시
175 
경상남도 진주시
91 
경상남도 거제시
81 
경상남도 양산시
72 
Other values (13)
311 

Length

Max length9
Median length8
Mean length8.3196645
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 창원시
2nd row경상남도 창원시
3rd row경상남도 창원시
4th row경상남도 창원시
5th row경상남도 창원시

Common Values

ValueCountFrequency (%)
경상남도 창원시 343
32.0%
경상남도 김해시 175
16.3%
경상남도 진주시 91
 
8.5%
경상남도 거제시 81
 
7.5%
경상남도 양산시 72
 
6.7%
경상남도 사천시 57
 
5.3%
경상남도 창녕군 57
 
5.3%
경남남도 통영시 39
 
3.6%
경상남도 밀양시 34
 
3.2%
경상남도 함안군 29
 
2.7%
Other values (8) 95
 
8.9%

Length

2023-12-12T20:30:29.880737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 1034
48.2%
창원시 343
 
16.0%
김해시 175
 
8.2%
진주시 91
 
4.2%
거제시 81
 
3.8%
양산시 72
 
3.4%
사천시 57
 
2.7%
창녕군 57
 
2.7%
경남남도 39
 
1.8%
통영시 39
 
1.8%
Other values (10) 158
 
7.4%

사업장명
Text

Distinct973
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-12T20:30:30.239685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length6.3364399
Min length2

Characters and Unicode

Total characters6799
Distinct characters433
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique907 ?
Unique (%)84.5%

Sample

1st row남광인력
2nd row오뚜기인력사무소
3rd row주식회사 다인에스엠(S.M)
4th row아세안인력
5th row아리랑직업소개소
ValueCountFrequency (%)
직업소개소 35
 
3.0%
경남인력 9
 
0.8%
주식회사 9
 
0.8%
인력개발 7
 
0.6%
인력 7
 
0.6%
우리인력 6
 
0.5%
삼성인력 5
 
0.4%
힘찬인력 5
 
0.4%
대성인력 5
 
0.4%
황소인력 4
 
0.3%
Other values (1005) 1093
92.2%
2023-12-12T20:30:30.916865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 690
 
10.1%
력 648
 
9.5%
소 550
 
8.1%
개 366
 
5.4%
업 283
 
4.2%
직 247
 
3.6%
사 198
 
2.9%
112
 
1.6%
발 107
 
1.6%
대 89
 
1.3%
Other values (423) 3509
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6466
95.1%
Space Separator 112
 
1.6%
Uppercase Letter 62
 
0.9%
Decimal Number 56
 
0.8%
Open Punctuation 34
 
0.5%
Close Punctuation 34
 
0.5%
Lowercase Letter 18
 
0.3%
Other Punctuation 15
 
0.2%
Other Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 690
 
10.7%
력 648
 
10.0%
소 550
 
8.5%
개 366
 
5.7%
업 283
 
4.4%
직 247
 
3.8%
사 198
 
3.1%
발 107
 
1.7%
대 89
 
1.4%
원 84
 
1.3%
Other values (374) 3204
49.6%
Uppercase Letter
ValueCountFrequency (%)
J 8
12.9%
M 6
 
9.7%
F 6
 
9.7%
B 5
 
8.1%
S 5
 
8.1%
I 4
 
6.5%
C 4
 
6.5%
N 3
 
4.8%
R 2
 
3.2%
D 2
 
3.2%
Other values (10) 17
27.4%
Decimal Number
ValueCountFrequency (%)
3 10
17.9%
1 10
17.9%
0 8
14.3%
2 7
12.5%
8 6
10.7%
5 5
8.9%
6 4
 
7.1%
9 3
 
5.4%
7 2
 
3.6%
4 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
r 3
16.7%
o 3
16.7%
u 2
11.1%
s 2
11.1%
e 2
11.1%
n 2
11.1%
t 1
 
5.6%
z 1
 
5.6%
a 1
 
5.6%
i 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 6
40.0%
& 5
33.3%
· 2
 
13.3%
' 2
 
13.3%
Space Separator
ValueCountFrequency (%)
112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6465
95.1%
Common 252
 
3.7%
Latin 80
 
1.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 690
 
10.7%
력 648
 
10.0%
소 550
 
8.5%
개 366
 
5.7%
업 283
 
4.4%
직 247
 
3.8%
사 198
 
3.1%
발 107
 
1.7%
대 89
 
1.4%
원 84
 
1.3%
Other values (373) 3203
49.5%
Latin
ValueCountFrequency (%)
J 8
 
10.0%
M 6
 
7.5%
F 6
 
7.5%
B 5
 
6.2%
S 5
 
6.2%
I 4
 
5.0%
C 4
 
5.0%
N 3
 
3.8%
r 3
 
3.8%
o 3
 
3.8%
Other values (20) 33
41.2%
Common
ValueCountFrequency (%)
112
44.4%
( 34
 
13.5%
) 34
 
13.5%
3 10
 
4.0%
1 10
 
4.0%
0 8
 
3.2%
2 7
 
2.8%
. 6
 
2.4%
8 6
 
2.4%
5 5
 
2.0%
Other values (8) 20
 
7.9%
Han
ValueCountFrequency (%)
星 1
50.0%
金 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6464
95.1%
ASCII 330
 
4.9%
None 3
 
< 0.1%
CJK 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 690
 
10.7%
력 648
 
10.0%
소 550
 
8.5%
개 366
 
5.7%
업 283
 
4.4%
직 247
 
3.8%
사 198
 
3.1%
발 107
 
1.7%
대 89
 
1.4%
원 84
 
1.3%
Other values (372) 3202
49.5%
ASCII
ValueCountFrequency (%)
112
33.9%
( 34
 
10.3%
) 34
 
10.3%
3 10
 
3.0%
1 10
 
3.0%
J 8
 
2.4%
0 8
 
2.4%
2 7
 
2.1%
M 6
 
1.8%
. 6
 
1.8%
Other values (37) 95
28.8%
None
ValueCountFrequency (%)
· 2
66.7%
㈜ 1
33.3%
CJK
ValueCountFrequency (%)
星 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
金 1
100.0%

소재지
Text

Distinct1065
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-12T20:30:31.365865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length28.169618
Min length8

Characters and Unicode

Total characters30226
Distinct characters353
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1058 ?
Unique (%)98.6%

Sample

1st row경상남도 창원시 의창구 도계두리길6번길 11-24. 101호 (도계동. 유성빌라)
2nd row경상남도 창원시 의창구 남산로9번길 35. 201호 (팔용동)
3rd row경상남도 창원시 의창구 지귀로12번길 10. 명성빌딩 7층 701호 (봉곡동)
4th row경상남도 창원시 의창구 의창대로62번길 3. 동산빌딩 4층 (팔용동)
5th row경상남도 창원시 의창구 동읍 자여로 92. 1층
ValueCountFrequency (%)
경상남도 931
 
14.6%
창원시 343
 
5.4%
김해시 176
 
2.8%
2층 128
 
2.0%
의창구 103
 
1.6%
성산구 96
 
1.5%
1층 92
 
1.4%
진주시 91
 
1.4%
거제시 81
 
1.3%
양산시 71
 
1.1%
Other values (1791) 4253
66.8%
2023-12-12T20:30:32.095257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5296
 
17.5%
1 1286
 
4.3%
상 1153
 
3.8%
남 1112
 
3.7%
도 972
 
3.2%
경 965
 
3.2%
동 945
 
3.1%
시 915
 
3.0%
로 851
 
2.8%
2 798
 
2.6%
Other values (343) 15933
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17656
58.4%
Space Separator 5296
 
17.5%
Decimal Number 4831
 
16.0%
Open Punctuation 743
 
2.5%
Close Punctuation 743
 
2.5%
Other Punctuation 662
 
2.2%
Dash Punctuation 260
 
0.9%
Uppercase Letter 25
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1153
 
6.5%
남 1112
 
6.3%
도 972
 
5.5%
경 965
 
5.5%
동 945
 
5.4%
시 915
 
5.2%
로 851
 
4.8%
창 627
 
3.6%
원 518
 
2.9%
길 462
 
2.6%
Other values (312) 9136
51.7%
Decimal Number
ValueCountFrequency (%)
1 1286
26.6%
2 798
16.5%
3 517
10.7%
0 435
 
9.0%
4 378
 
7.8%
5 359
 
7.4%
6 300
 
6.2%
7 264
 
5.5%
9 259
 
5.4%
8 235
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
T 4
16.0%
B 4
16.0%
N 3
12.0%
A 3
12.0%
P 3
12.0%
Y 3
12.0%
O 3
12.0%
C 1
 
4.0%
K 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 574
86.7%
, 54
 
8.2%
· 24
 
3.6%
， 10
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
s 3
30.0%
e 3
30.0%
t 3
30.0%
b 1
 
10.0%
Space Separator
ValueCountFrequency (%)
5296
100.0%
Open Punctuation
ValueCountFrequency (%)
( 743
100.0%
Close Punctuation
ValueCountFrequency (%)
) 743
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17656
58.4%
Common 12535
41.5%
Latin 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1153
 
6.5%
남 1112
 
6.3%
도 972
 
5.5%
경 965
 
5.5%
동 945
 
5.4%
시 915
 
5.2%
로 851
 
4.8%
창 627
 
3.6%
원 518
 
2.9%
길 462
 
2.6%
Other values (312) 9136
51.7%
Common
ValueCountFrequency (%)
5296
42.2%
1 1286
 
10.3%
2 798
 
6.4%
( 743
 
5.9%
) 743
 
5.9%
. 574
 
4.6%
3 517
 
4.1%
0 435
 
3.5%
4 378
 
3.0%
5 359
 
2.9%
Other values (8) 1406
 
11.2%
Latin
ValueCountFrequency (%)
T 4
11.4%
B 4
11.4%
s 3
8.6%
e 3
8.6%
t 3
8.6%
N 3
8.6%
A 3
8.6%
P 3
8.6%
Y 3
8.6%
O 3
8.6%
Other values (3) 3
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17656
58.4%
ASCII 12536
41.5%
None 34
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5296
42.2%
1 1286
 
10.3%
2 798
 
6.4%
( 743
 
5.9%
) 743
 
5.9%
. 574
 
4.6%
3 517
 
4.1%
0 435
 
3.5%
4 378
 
3.0%
5 359
 
2.9%
Other values (19) 1407
 
11.2%
Hangul
ValueCountFrequency (%)
상 1153
 
6.5%
남 1112
 
6.3%
도 972
 
5.5%
경 965
 
5.5%
동 945
 
5.4%
시 915
 
5.2%
로 851
 
4.8%
창 627
 
3.6%
원 518
 
2.9%
길 462
 
2.6%
Other values (312) 9136
51.7%
None
ValueCountFrequency (%)
· 24
70.6%
， 10
29.4%

등록일자_수정일자
Text

Distinct934
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-12T20:30:32.560017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length10
Mean length11.301957
Min length10

Characters and Unicode

Total characters12127
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

Unique816 ?
Unique (%)76.0%

Sample

1st row2022-02-21
2nd row2021-11-12
3rd row2021-10-27
4th row2021-10-19
5th row2021-09-23
ValueCountFrequency (%)
2021-11-05 4
 
0.4%
2021-04-30 4
 
0.4%
2021-06-16 4
 
0.4%
2022-02-08 3
 
0.3%
2019-11-06 3
 
0.3%
2021-11-22 3
 
0.3%
2021-01-20 3
 
0.3%
2019-06-10 3
 
0.3%
2020-08-04 3
 
0.3%
2014-07-14 3
 
0.3%
Other values (924) 1040
96.9%
2023-12-12T20:30:33.152496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3029
25.0%
- 2400
19.8%
2 2381
19.6%
1 1910
15.7%
9 373
 
3.1%
3 352
 
2.9%
8 335
 
2.8%
6 334
 
2.8%
7 303
 
2.5%
5 299
 
2.5%
Other values (2) 411
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9600
79.2%
Dash Punctuation 2400
 
19.8%
Connector Punctuation 127
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3029
31.6%
2 2381
24.8%
1 1910
19.9%
9 373
 
3.9%
3 352
 
3.7%
8 335
 
3.5%
6 334
 
3.5%
7 303
 
3.2%
5 299
 
3.1%
4 284
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 2400
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12127
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3029
25.0%
- 2400
19.8%
2 2381
19.6%
1 1910
15.7%
9 373
 
3.1%
3 352
 
2.9%
8 335
 
2.8%
6 334
 
2.8%
7 303
 
2.5%
5 299
 
2.5%
Other values (2) 411
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3029
25.0%
- 2400
19.8%
2 2381
19.6%
1 1910
15.7%
9 373
 
3.1%
3 352
 
2.9%
8 335
 
2.8%
6 334
 
2.8%
7 303
 
2.5%
5 299
 
2.5%
Other values (2) 411
 
3.4%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
<NA>
980 
휴업
 
40
휴업
 
24
휴업중
 
18
영업중(비대면)
 
6
Other values (3)
 
5

Length

Max length9
Median length4
Mean length3.9375582
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row휴업
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 980
91.3%
휴업 40
 
3.7%
휴업 24
 
2.2%
휴업중 18
 
1.7%
영업중(비대면) 6
 
0.6%
코로나로인한 휴업 3
 
0.3%
전화 1
 
0.1%
계절적 운영 1
 
0.1%

Length

2023-12-12T20:30:33.380610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:30:33.577449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 980
91.0%
휴업 67
 
6.2%
휴업중 18
 
1.7%
영업중(비대면 6
 
0.6%
코로나로인한 3
 
0.3%
전화 1
 
0.1%
계절적 1
 
0.1%
운영 1
 
0.1%

Interactions

2023-12-12T20:30:28.758590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:30:33.705845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호등록기관명비고
번호1.0000.9410.813
등록기관명0.9411.0000.906
비고0.8130.9061.000
2023-12-12T20:30:33.836204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고등록기관명
비고1.0000.854
등록기관명0.8541.000
2023-12-12T20:30:33.958231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호등록기관명비고
번호1.0000.7430.693
등록기관명0.7431.0000.854
비고0.6930.8541.000

Missing values

2023-12-12T20:30:28.979153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:30:29.177184image/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

번호등록기관명사업장명소재지등록일자_수정일자비고
01경상남도 창원시남광인력경상남도 창원시 의창구 도계두리길6번길 11-24. 101호 (도계동. 유성빌라)2022-02-21<NA>
12경상남도 창원시오뚜기인력사무소경상남도 창원시 의창구 남산로9번길 35. 201호 (팔용동)2021-11-12<NA>
23경상남도 창원시주식회사 다인에스엠(S.M)경상남도 창원시 의창구 지귀로12번길 10. 명성빌딩 7층 701호 (봉곡동)2021-10-27휴업
34경상남도 창원시아세안인력경상남도 창원시 의창구 의창대로62번길 3. 동산빌딩 4층 (팔용동)2021-10-19<NA>
45경상남도 창원시아리랑직업소개소경상남도 창원시 의창구 동읍 자여로 92. 1층2021-09-23<NA>
56경상남도 창원시남부인력경상남도 창원시 의창구 천주로36번길 13. 104-1호 (동정동. 천주아파트)2021-06-30<NA>
67경상남도 창원시개미인력경상남도 창원시 의창구 도계로4번길 42-1. 2층 (도계동)2021-05-18<NA>
78경상남도 창원시부영경상남도 창원시 의창구 사화로10번길 7. 거제회 3층 (팔용동)2021-03-29<NA>
89경상남도 창원시새미래인력경상남도 창원시 의창구 남산로 5. 동양빌딩 지하 101호 (팔용동)2021-03-24휴업
910경상남도 창원시까치직업소개소경상남도 창원시 의창구 지귀로 22. 해수원A.B빌딩 2층 202호 (봉곡동)2021-02-26<NA>
번호등록기관명사업장명소재지등록일자_수정일자비고
10631064경상남도 합천군합천인력개발경상남도 합천군 합천읍 충효로 27, 1층2019-06-27<NA>
10641065경상남도 합천군합천종합인력경상남도 합천군 합천읍 강변로 352019-06-11<NA>
10651066경상남도 합천군합천구구인력공사경상남도 합천군 합천읍 충효로 97-5, 101호 (서원아파트)2018-12-31<NA>
10661067경상남도 합천군에스이인력공사경상남도 합천군 초계면 초계1길 9-10, 201호2017-03-09<NA>
10671068경상남도 합천군태산인력개발경상남도 합천군 청덕면 동부로 24922014-11-13<NA>
10681069경상남도 합천군합천삼일인력공사경상남도 합천군 합천읍 중앙로 822014-03-28<NA>
10691070경상남도 합천군삼성인력경상남도 합천군 합천읍 남정길 32-12012-05-18<NA>
10701071경상남도 합천군대성직업소개소경상남도 합천군 대병면 신성동길 342009-08-20<NA>
10711072경상남도 합천군합천해인인력경상남도 합천군 합천읍 동서로 472022-02-24<NA>
10721073경상남도 합천군합천합동인력경상남도 합천군 합천읍 충효로1길 11-25. 1층2022-02-11<NA>