Overview

Dataset statistics

Number of variables9
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory75.9 B

Variable types

Numeric1
Categorical3
Text4
DateTime1

Dataset

Description경기도 양주시 직업소개소 현황에 관련된 데이터로 유무료, 사업소명, 인허가번호, 주소, 전화번호, 관리기관명 등의 내용을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/3080315/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터 기준일 has constant value ""Constant
유무료구분 is highly imbalanced (57.4%)Imbalance
순번 has unique valuesUnique
사업소명 has unique valuesUnique
인허가번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:40:07.053181
Analysis finished2023-12-12 10:40:07.930887
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T19:40:08.018565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2023-12-12T19:40:08.208003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

유무료구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
유료
42 
무료
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 42
91.3%
무료 4
 
8.7%

Length

2023-12-12T19:40:08.387036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:40:08.494127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 42
91.3%
무료 4
 
8.7%

사업소명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T19:40:08.755313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14.5
Mean length7
Min length1

Characters and Unicode

Total characters322
Distinct characters123
Distinct categories6 ?
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 (%)100.0%

Sample

1st row미스터홈즈 파출인력
2nd rowJOB N VISA(잡앤비자)
3rd row양주시니어클럽
4th row일가자 인력(양주점)
5th row양주명성파출인력소개소
ValueCountFrequency (%)
사회적협동조합 2
 
3.3%
미스터홈즈 1
 
1.6%
용접인력 1
 
1.6%
만인인력 1
 
1.6%
성실직업소개소 1
 
1.6%
한일인력직업소개소 1
 
1.6%
내일 1
 
1.6%
상수인력 1
 
1.6%
정수인력 1
 
1.6%
국제인력 1
 
1.6%
Other values (50) 50
82.0%
2023-12-12T19:40:09.230048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 35
 
10.9%
력 33
 
10.2%
15
 
4.7%
소 11
 
3.4%
양 9
 
2.8%
개 8
 
2.5%
주 8
 
2.5%
사 6
 
1.9%
일 5
 
1.6%
발 5
 
1.6%
Other values (113) 187
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
89.1%
Space Separator 15
 
4.7%
Uppercase Letter 11
 
3.4%
Open Punctuation 4
 
1.2%
Close Punctuation 4
 
1.2%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 35
 
12.2%
력 33
 
11.5%
소 11
 
3.8%
양 9
 
3.1%
개 8
 
2.8%
주 8
 
2.8%
사 6
 
2.1%
일 5
 
1.7%
발 5
 
1.7%
합 5
 
1.7%
Other values (99) 162
56.4%
Uppercase Letter
ValueCountFrequency (%)
N 2
18.2%
K 1
9.1%
G 1
9.1%
I 1
9.1%
J 1
9.1%
O 1
9.1%
B 1
9.1%
V 1
9.1%
S 1
9.1%
A 1
9.1%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
89.1%
Common 24
 
7.5%
Latin 11
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 35
 
12.2%
력 33
 
11.5%
소 11
 
3.8%
양 9
 
3.1%
개 8
 
2.8%
주 8
 
2.8%
사 6
 
2.1%
일 5
 
1.7%
발 5
 
1.7%
합 5
 
1.7%
Other values (99) 162
56.4%
Latin
ValueCountFrequency (%)
N 2
18.2%
K 1
9.1%
G 1
9.1%
I 1
9.1%
J 1
9.1%
O 1
9.1%
B 1
9.1%
V 1
9.1%
S 1
9.1%
A 1
9.1%
Common
ValueCountFrequency (%)
15
62.5%
( 4
 
16.7%
) 4
 
16.7%
- 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
89.1%
ASCII 35
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 35
 
12.2%
력 33
 
11.5%
소 11
 
3.8%
양 9
 
3.1%
개 8
 
2.8%
주 8
 
2.8%
사 6
 
2.1%
일 5
 
1.7%
발 5
 
1.7%
합 5
 
1.7%
Other values (99) 162
56.4%
ASCII
ValueCountFrequency (%)
15
42.9%
( 4
 
11.4%
) 4
 
11.4%
N 2
 
5.7%
K 1
 
2.9%
G 1
 
2.9%
I 1
 
2.9%
J 1
 
2.9%
O 1
 
2.9%
B 1
 
2.9%
Other values (4) 4
 
11.4%

인허가번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T19:40:09.527675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters1058
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

Unique46 ?
Unique (%)100.0%

Sample

1st row2023-5590291-14-5-00003
2nd row2023-5590291-14-5-00002
3rd row2023-5590291-14-5-00001
4th row2023-5590261-14-5-00001
5th row2022-5590261-14-5-00005
ValueCountFrequency (%)
2023-5590291-14-5-00003 1
 
2.2%
2008-5590073-14-5-00002 1
 
2.2%
2015-5590193-14-5-00002 1
 
2.2%
2015-5590193-14-5-00003 1
 
2.2%
2014-5590193-14-5-00002 1
 
2.2%
2014-5590193-14-5-00001 1
 
2.2%
2016-5590193-14-5-00002 1
 
2.2%
2013-5590148-14-5-00004 1
 
2.2%
2012-5590148-14-5-00003 1
 
2.2%
2010-5590106-14-5-00007 1
 
2.2%
Other values (36) 36
78.3%
2023-12-12T19:40:09.914182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 307
29.0%
- 184
17.4%
5 146
13.8%
1 126
11.9%
2 103
 
9.7%
4 63
 
6.0%
9 59
 
5.6%
3 27
 
2.6%
6 27
 
2.6%
7 9
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 874
82.6%
Dash Punctuation 184
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 307
35.1%
5 146
16.7%
1 126
14.4%
2 103
 
11.8%
4 63
 
7.2%
9 59
 
6.8%
3 27
 
3.1%
6 27
 
3.1%
7 9
 
1.0%
8 7
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1058
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 307
29.0%
- 184
17.4%
5 146
13.8%
1 126
11.9%
2 103
 
9.7%
4 63
 
6.0%
9 59
 
5.6%
3 27
 
2.6%
6 27
 
2.6%
7 9
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1058
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 307
29.0%
- 184
17.4%
5 146
13.8%
1 126
11.9%
2 103
 
9.7%
4 63
 
6.0%
9 59
 
5.6%
3 27
 
2.6%
6 27
 
2.6%
7 9
 
0.9%

사업소주소
Text

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T19:40:10.237391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length33
Mean length27.478261
Min length18

Characters and Unicode

Total characters1264
Distinct characters105
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)91.3%

Sample

1st row경기도 양주시 옥정동로7길 62， 라끄뷰 105호 (옥정동)
2nd row경기도 양주시 평화로1475번길 11， 103호 (덕계동)
3rd row경기도 양주시 삼숭로58번길 108-47， 4층 (삼숭동)
4th row경기도 양주시 장흥면 가마골로 40-8， 상가동 202호 (우남송추마을아파트)
5th row경기도 양주시 옥정동로7나길 15， 폴리프라자1 1층 114호 (옥정동)
ValueCountFrequency (%)
경기도 46
 
16.4%
양주시 46
 
16.4%
덕계동 12
 
4.3%
평화로 11
 
3.9%
2층 9
 
3.2%
광적면 7
 
2.5%
백석읍 6
 
2.1%
부흥로 5
 
1.8%
덕정동 4
 
1.4%
3층 3
 
1.1%
Other values (100) 131
46.8%
2023-12-12T19:40:10.759665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
234
 
18.5%
1 58
 
4.6%
양 49
 
3.9%
주 49
 
3.9%
경 48
 
3.8%
기 47
 
3.7%
도 46
 
3.6%
시 46
 
3.6%
로 40
 
3.2%
2 38
 
3.0%
Other values (95) 609
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 695
55.0%
Decimal Number 243
 
19.2%
Space Separator 234
 
18.5%
Close Punctuation 29
 
2.3%
Open Punctuation 29
 
2.3%
Other Punctuation 26
 
2.1%
Dash Punctuation 8
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 49
 
7.1%
주 49
 
7.1%
경 48
 
6.9%
기 47
 
6.8%
도 46
 
6.6%
시 46
 
6.6%
로 40
 
5.8%
동 33
 
4.7%
화 20
 
2.9%
층 18
 
2.6%
Other values (80) 299
43.0%
Decimal Number
ValueCountFrequency (%)
1 58
23.9%
2 38
15.6%
5 32
13.2%
4 28
11.5%
3 22
 
9.1%
0 22
 
9.1%
7 14
 
5.8%
6 11
 
4.5%
9 10
 
4.1%
8 8
 
3.3%
Space Separator
ValueCountFrequency (%)
234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
， 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 695
55.0%
Common 569
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 49
 
7.1%
주 49
 
7.1%
경 48
 
6.9%
기 47
 
6.8%
도 46
 
6.6%
시 46
 
6.6%
로 40
 
5.8%
동 33
 
4.7%
화 20
 
2.9%
층 18
 
2.6%
Other values (80) 299
43.0%
Common
ValueCountFrequency (%)
234
41.1%
1 58
 
10.2%
2 38
 
6.7%
5 32
 
5.6%
) 29
 
5.1%
( 29
 
5.1%
4 28
 
4.9%
， 26
 
4.6%
3 22
 
3.9%
0 22
 
3.9%
Other values (5) 51
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 695
55.0%
ASCII 543
43.0%
None 26
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
234
43.1%
1 58
 
10.7%
2 38
 
7.0%
5 32
 
5.9%
) 29
 
5.3%
( 29
 
5.3%
4 28
 
5.2%
3 22
 
4.1%
0 22
 
4.1%
7 14
 
2.6%
Other values (4) 37
 
6.8%
Hangul
ValueCountFrequency (%)
양 49
 
7.1%
주 49
 
7.1%
경 48
 
6.9%
기 47
 
6.8%
도 46
 
6.6%
시 46
 
6.6%
로 40
 
5.8%
동 33
 
4.7%
화 20
 
2.9%
층 18
 
2.6%
Other values (80) 299
43.0%
None
ValueCountFrequency (%)
， 26
100.0%

사업소전화번호
Text

Distinct34
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T19:40:11.024509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.521739
Min length12

Characters and Unicode

Total characters576
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

Unique27 ?
Unique (%)58.7%

Sample

1st row010-3494-****
2nd row010-8889-****
3rd row010-9091-****
4th row010-5343-****
5th row010-5103-****
ValueCountFrequency (%)
010-4311 4
 
8.7%
010-9160 4
 
8.7%
010-6310 3
 
6.5%
010-8785 2
 
4.3%
010-5955 2
 
4.3%
010-4809 2
 
4.3%
010-3277 2
 
4.3%
010-3494 1
 
2.2%
031-863-3942 1
 
2.2%
031-855-6429 1
 
2.2%
Other values (24) 24
52.2%
2023-12-12T19:40:11.413067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 96
16.7%
- 92
16.0%
0 90
15.6%
1 78
13.5%
3 50
8.7%
8 40
6.9%
5 29
 
5.0%
6 27
 
4.7%
9 22
 
3.8%
4 20
 
3.5%
Other values (2) 32
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 388
67.4%
Other Punctuation 96
 
16.7%
Dash Punctuation 92
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
23.2%
1 78
20.1%
3 50
12.9%
8 40
10.3%
5 29
 
7.5%
6 27
 
7.0%
9 22
 
5.7%
4 20
 
5.2%
2 17
 
4.4%
7 15
 
3.9%
Other Punctuation
ValueCountFrequency (%)
* 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 576
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 96
16.7%
- 92
16.0%
0 90
15.6%
1 78
13.5%
3 50
8.7%
8 40
6.9%
5 29
 
5.0%
6 27
 
4.7%
9 22
 
3.8%
4 20
 
3.5%
Other values (2) 32
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 96
16.7%
- 92
16.0%
0 90
15.6%
1 78
13.5%
3 50
8.7%
8 40
6.9%
5 29
 
5.0%
6 27
 
4.7%
9 22
 
3.8%
4 20
 
3.5%
Other values (2) 32
 
5.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
일자리경제과
46 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일자리경제과 46
100.0%

Length

2023-12-12T19:40:11.582281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:40:11.703308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리경제과 46
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
031-8082-6082
46 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-8082-6082
2nd row031-8082-6082
3rd row031-8082-6082
4th row031-8082-6082
5th row031-8082-6082

Common Values

ValueCountFrequency (%)
031-8082-6082 46
100.0%

Length

2023-12-12T19:40:11.804989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:40:11.911769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-8082-6082 46
100.0%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2023-06-21 00:00:00
Maximum2023-06-21 00:00:00
2023-12-12T19:40:12.012929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:40:12.131526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:40:07.514030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:40:12.222257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분사업소명인허가번호사업소주소사업소전화번호
순번1.0000.0001.0001.0000.8890.000
유무료구분0.0001.0001.0001.0001.0000.000
사업소명1.0001.0001.0001.0001.0001.000
인허가번호1.0001.0001.0001.0001.0001.000
사업소주소0.8891.0001.0001.0001.0000.972
사업소전화번호0.0000.0001.0001.0000.9721.000
2023-12-12T19:40:12.347540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분
순번1.0000.000
유무료구분0.0001.000

Missing values

2023-12-12T19:40:07.685848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:40:07.873417image/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

순번유무료구분사업소명인허가번호사업소주소사업소전화번호관리기관명관리기관전화번호데이터 기준일
01유료미스터홈즈 파출인력2023-5590291-14-5-00003경기도 양주시 옥정동로7길 62， 라끄뷰 105호 (옥정동)010-3494-****일자리경제과031-8082-60822023-06-21
12유료JOB N VISA(잡앤비자)2023-5590291-14-5-00002경기도 양주시 평화로1475번길 11， 103호 (덕계동)010-8889-****일자리경제과031-8082-60822023-06-21
23무료양주시니어클럽2023-5590291-14-5-00001경기도 양주시 삼숭로58번길 108-47， 4층 (삼숭동)010-9091-****일자리경제과031-8082-60822023-06-21
34유료일가자 인력(양주점)2023-5590261-14-5-00001경기도 양주시 장흥면 가마골로 40-8， 상가동 202호 (우남송추마을아파트)010-5343-****일자리경제과031-8082-60822023-06-21
45유료양주명성파출인력소개소2022-5590261-14-5-00005경기도 양주시 옥정동로7나길 15， 폴리프라자1 1층 114호 (옥정동)010-5103-****일자리경제과031-8082-60822023-06-21
56유료아이맘케어2022-5590261-14-5-00003경기도 양주시 부흥로 1932， 5층 214호 (광사동)010-8785-****일자리경제과031-8082-60822023-06-21
67유료평화인력 건설공장철거파출인력2022-5590261-14-5-00002경기도 양주시 평화로 1444， 3층 (덕계동)010-5955-****일자리경제과031-8082-60822023-06-21
78유료양주 일자리 종합 안내소2022-5590261-14-5-00001경기도 양주시 평화로1475번길 11， 301호 (덕계동)010-4809-****일자리경제과031-8082-60822023-06-21
89유료에스엠파출2022-5590261-14-5-00004경기도 양주시 평화로 1435 (덕계동)010-3277-****일자리경제과031-8082-60822023-06-21
910유료우리인력2021-5590261-14-5-00004경기도 양주시 평화로1454번길 1， 2층 (덕계동)010-6310-****일자리경제과031-8082-60822023-06-21
순번유무료구분사업소명인허가번호사업소주소사업소전화번호관리기관명관리기관전화번호데이터 기준일
3637유료동양인력2003-4100013-11-5-00001경기도 양주시 평화로 1441， 2층 1호 (덕계동)031-863-2111일자리경제과031-8082-60822023-06-21
3738유료동우직업소개소2005-5590043-11-5-00005경기도 양주시 광적면 가래비길 212031-855-9784일자리경제과031-8082-60822023-06-21
3839유료양주인력개발2006-5590043-11-5-00001경기도 양주시 평화로1454번길 5 (덕계동)031-861-9393일자리경제과031-8082-60822023-06-21
3940유료태양인력2011-5590107-14-5-00002경기도 양주시 백석읍 부흥로 1200031-874-3333일자리경제과031-8082-60822023-06-21
4041유료거산인력2010-5590106-14-5-00003경기도 양주시 광적면 부흥로 759031-855-1616일자리경제과031-8082-60822023-06-21
4142유료(주)성삼도시개발2010-5590106-14-5-00006경기도 양주시 백석읍 꿈나무로 160031-855-6429일자리경제과031-8082-60822023-06-21
4243유료주식회사유투2010-5590106-14-5-00004경기도 양주시 평화로 1255 (산북동)031-844-1616일자리경제과031-8082-60822023-06-21
4344유료신우인력2005-5590014-11-5-00002경기도 양주시 평화로 1395， 나라빌딩 별관 2층 203호 (덕계동)031-863-3942일자리경제과031-8082-60822023-06-21
4445유료한일인력직업소개소2015-5590193-14-5-00002경기도 양주시 장흥면 가마골로 255010-9160-****일자리경제과031-8082-60822023-06-21
4546유료신풍전기인력2004-5590014-11-5-00002경기도 양주시 고삼로 4 (만송동)031-821-0452일자리경제과031-8082-60822023-06-21