Overview

Dataset statistics

Number of variables7
Number of observations75
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory59.8 B

Variable types

Numeric2
Categorical1
Text4

Dataset

Description한국산업안전보건공단에서 제공하는 건설업기초안전보건교육기관 등록현황으로 공단담당일선기관, 교육기관명, 주소 등을 확인하실 수 있습니다.
URLhttps://www.data.go.kr/data/15083248/fileData.do

Alerts

우편번호 is highly overall correlated with 공단일선기관High correlation
공단일선기관 is highly overall correlated with 우편번호High correlation
연번 has unique valuesUnique
전화번호 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:38:09.785777
Analysis finished2023-12-12 00:38:11.169809
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-12T09:38:11.265817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.7
Q119.5
median38
Q356.5
95-th percentile71.3
Maximum75
Range74
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.794495
Coefficient of variation (CV)0.57353933
Kurtosis-1.2
Mean38
Median Absolute Deviation (MAD)19
Skewness0
Sum2850
Variance475
MonotonicityStrictly increasing
2023-12-12T09:38:11.448054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
49 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
50 1
 
1.3%
48 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%
66 1
1.3%

공단일선기관
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
경기지역본부
7 
부산광역본부
6 
경남지역본부
5 
인천광역본부
 
4
경기서부지사
 
4
Other values (22)
49 

Length

Max length8
Median length6
Mean length6.08
Min length6

Unique

Unique5 ?
Unique (%)6.7%

Sample

1st row강원지역본부
2nd row전남동부지사
3rd row인천광역본부
4th row서울동부지사
5th row부산광역본부

Common Values

ValueCountFrequency (%)
경기지역본부 7
 
9.3%
부산광역본부 6
 
8.0%
경남지역본부 5
 
6.7%
인천광역본부 4
 
5.3%
경기서부지사 4
 
5.3%
경기북부지사 4
 
5.3%
울산지역본부 4
 
5.3%
광주광역본부 4
 
5.3%
서울광역본부 3
 
4.0%
대전세종광역본부 3
 
4.0%
Other values (17) 31
41.3%

Length

2023-12-12T09:38:11.661512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기지역본부 7
 
9.3%
부산광역본부 6
 
8.0%
경남지역본부 5
 
6.7%
인천광역본부 4
 
5.3%
경기서부지사 4
 
5.3%
경기북부지사 4
 
5.3%
울산지역본부 4
 
5.3%
광주광역본부 4
 
5.3%
경북지역본부 3
 
4.0%
서울동부지사 3
 
4.0%
Other values (17) 31
41.3%

교육기관명
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T09:38:11.970276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length12.106667
Min length7

Characters and Unicode

Total characters908
Distinct characters101
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

Unique73 ?
Unique (%)97.3%

Sample

1st row(주)한국안전보건기술원
2nd row주식회사 우리안전기술원
3rd row한국건설안전연구원(주)
4th row대신산업안전보건원
5th row한국건설안전교육원(주)
ValueCountFrequency (%)
주식회사 11
 
12.1%
한동에이치에스이(주 3
 
3.3%
한국건설안전연구원(주 3
 
3.3%
건설기초안전교육 2
 
2.2%
주)한국안전교육 2
 
2.2%
주)건설기초안전교육원 1
 
1.1%
주)안전교육센터 1
 
1.1%
주)한국안전보건교육센터 1
 
1.1%
국민안전보건교육원(주 1
 
1.1%
안동터미널출장소 1
 
1.1%
Other values (65) 65
71.4%
2023-12-12T09:38:12.458096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 73
 
8.0%
안 68
 
7.5%
전 67
 
7.4%
( 56
 
6.2%
) 56
 
6.2%
교 47
 
5.2%
육 47
 
5.2%
건 46
 
5.1%
원 42
 
4.6%
설 33
 
3.6%
Other values (91) 373
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 773
85.1%
Open Punctuation 56
 
6.2%
Close Punctuation 56
 
6.2%
Space Separator 16
 
1.8%
Uppercase Letter 5
 
0.6%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 73
 
9.4%
안 68
 
8.8%
전 67
 
8.7%
교 47
 
6.1%
육 47
 
6.1%
건 46
 
6.0%
원 42
 
5.4%
설 33
 
4.3%
한 26
 
3.4%
기 24
 
3.1%
Other values (81) 300
38.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
Y 1
20.0%
H 1
20.0%
M 1
20.0%
R 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 773
85.1%
Common 130
 
14.3%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 73
 
9.4%
안 68
 
8.8%
전 67
 
8.7%
교 47
 
6.1%
육 47
 
6.1%
건 46
 
6.0%
원 42
 
5.4%
설 33
 
4.3%
한 26
 
3.4%
기 24
 
3.1%
Other values (81) 300
38.8%
Common
ValueCountFrequency (%)
( 56
43.1%
) 56
43.1%
16
 
12.3%
2 1
 
0.8%
1 1
 
0.8%
Latin
ValueCountFrequency (%)
S 1
20.0%
Y 1
20.0%
H 1
20.0%
M 1
20.0%
R 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 773
85.1%
ASCII 135
 
14.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 73
 
9.4%
안 68
 
8.8%
전 67
 
8.7%
교 47
 
6.1%
육 47
 
6.1%
건 46
 
6.0%
원 42
 
5.4%
설 33
 
4.3%
한 26
 
3.4%
기 24
 
3.1%
Other values (81) 300
38.8%
ASCII
ValueCountFrequency (%)
( 56
41.5%
) 56
41.5%
16
 
11.9%
S 1
 
0.7%
2 1
 
0.7%
Y 1
 
0.7%
H 1
 
0.7%
1 1
 
0.7%
M 1
 
0.7%
R 1
 
0.7%

전화번호
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T09:38:12.756322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.946667
Min length9

Characters and Unicode

Total characters896
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

Unique75 ?
Unique (%)100.0%

Sample

1st row033-734-3902
2nd row061-727-1135
3rd row032-515-8082
4th row02-471-5555
5th row051-583-2601
ValueCountFrequency (%)
033-734-3902 1
 
1.3%
054-285-1254 1
 
1.3%
033-900-6112 1
 
1.3%
055-758-9225 1
 
1.3%
042-482-0405 1
 
1.3%
042-825-8992 1
 
1.3%
053-721-7079 1
 
1.3%
043-260-1553 1
 
1.3%
041-533-5225 1
 
1.3%
055-648-9003 1
 
1.3%
Other values (65) 65
86.7%
2023-12-12T09:38:13.537755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 149
16.6%
0 148
16.5%
5 97
10.8%
2 85
9.5%
1 80
8.9%
3 75
8.4%
8 58
 
6.5%
6 56
 
6.2%
7 53
 
5.9%
4 50
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 747
83.4%
Dash Punctuation 149
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 148
19.8%
5 97
13.0%
2 85
11.4%
1 80
10.7%
3 75
10.0%
8 58
 
7.8%
6 56
 
7.5%
7 53
 
7.1%
4 50
 
6.7%
9 45
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 896
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 149
16.6%
0 148
16.5%
5 97
10.8%
2 85
9.5%
1 80
8.9%
3 75
8.4%
8 58
 
6.5%
6 56
 
6.2%
7 53
 
5.9%
4 50
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 896
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 149
16.6%
0 148
16.5%
5 97
10.8%
2 85
9.5%
1 80
8.9%
3 75
8.4%
8 58
 
6.5%
6 56
 
6.2%
7 53
 
5.9%
4 50
 
5.6%

팩스번호
Text

Distinct73
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T09:38:13.852230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.093333
Min length11

Characters and Unicode

Total characters907
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

Unique72 ?
Unique (%)96.0%

Sample

1st row033-735-3903
2nd row061-742-9926
3rd row032-517-8082
4th row02-476-3246
5th row051-583-2603
ValueCountFrequency (%)
070-7614-3611 3
 
4.0%
033-735-3903 1
 
1.3%
055-648-9006 1
 
1.3%
033-900-6111 1
 
1.3%
055-758-9223 1
 
1.3%
042-482-0406 1
 
1.3%
042-825-8991 1
 
1.3%
053-721-7076 1
 
1.3%
043-260-1554 1
 
1.3%
041-533-6226 1
 
1.3%
Other values (63) 63
84.0%
2023-12-12T09:38:14.326563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 150
16.5%
- 150
16.5%
2 84
9.3%
5 80
8.8%
6 76
8.4%
3 76
8.4%
1 75
8.3%
7 59
 
6.5%
4 59
 
6.5%
9 51
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 757
83.5%
Dash Punctuation 150
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 150
19.8%
2 84
11.1%
5 80
10.6%
6 76
10.0%
3 76
10.0%
1 75
9.9%
7 59
 
7.8%
4 59
 
7.8%
9 51
 
6.7%
8 47
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 907
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 150
16.5%
- 150
16.5%
2 84
9.3%
5 80
8.8%
6 76
8.4%
3 76
8.4%
1 75
8.3%
7 59
 
6.5%
4 59
 
6.5%
9 51
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 907
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 150
16.5%
- 150
16.5%
2 84
9.3%
5 80
8.8%
6 76
8.4%
3 76
8.4%
1 75
8.3%
7 59
 
6.5%
4 59
 
6.5%
9 51
 
5.6%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31763.28
Minimum1399
Maximum63093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-12T09:38:14.533706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1399
5-th percentile4677.1
Q115636.5
median31456
Q347906.5
95-th percentile61144.7
Maximum63093
Range61694
Interquartile range (IQR)32270

Descriptive statistics

Standard deviation18311.983
Coefficient of variation (CV)0.57651423
Kurtosis-1.3137744
Mean31763.28
Median Absolute Deviation (MAD)16057
Skewness0.055270529
Sum2382246
Variance3.3532872 × 108
MonotonicityNot monotonic
2023-12-12T09:38:14.746880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10387 2
 
2.7%
28452 1
 
1.3%
17779 1
 
1.3%
44676 1
 
1.3%
26471 1
 
1.3%
52838 1
 
1.3%
35220 1
 
1.3%
34179 1
 
1.3%
42274 1
 
1.3%
26311 1
 
1.3%
Other values (64) 64
85.3%
ValueCountFrequency (%)
1399 1
1.3%
2086 1
1.3%
2582 1
1.3%
3345 1
1.3%
5248 1
1.3%
7413 1
1.3%
7414 1
1.3%
8385 1
1.3%
10071 1
1.3%
10387 2
2.7%
ValueCountFrequency (%)
63093 1
1.3%
61978 1
1.3%
61940 1
1.3%
61263 1
1.3%
61094 1
1.3%
59649 1
1.3%
57924 1
1.3%
54852 1
1.3%
54602 1
1.3%
53037 1
1.3%

주소
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-12T09:38:15.066739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length21.76
Min length13

Characters and Unicode

Total characters1632
Distinct characters160
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

Unique75 ?
Unique (%)100.0%

Sample

1st row강원도 원주시 태장공단길 46
2nd row전라남도 순천시 고지5길 3
3rd row인천광역시 부평구 부평대로 138
4th row서울특별시 강동구 천호대로151길 36 , 9층
5th row부산광역시 사상구 사상로 336 , 3층
ValueCountFrequency (%)
18
 
4.8%
경기도 17
 
4.6%
3층 8
 
2.2%
경상남도 7
 
1.9%
2층 5
 
1.3%
남구 5
 
1.3%
서울특별시 5
 
1.3%
부산광역시 5
 
1.3%
광주광역시 4
 
1.1%
경상북도 4
 
1.1%
Other values (246) 294
79.0%
2023-12-12T09:38:15.540698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
18.2%
로 70
 
4.3%
시 70
 
4.3%
구 57
 
3.5%
1 50
 
3.1%
2 46
 
2.8%
3 42
 
2.6%
도 42
 
2.6%
경 33
 
2.0%
산 33
 
2.0%
Other values (150) 892
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 990
60.7%
Space Separator 297
 
18.2%
Decimal Number 277
 
17.0%
Other Punctuation 26
 
1.6%
Open Punctuation 17
 
1.0%
Close Punctuation 17
 
1.0%
Dash Punctuation 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 70
 
7.1%
시 70
 
7.1%
구 57
 
5.8%
도 42
 
4.2%
경 33
 
3.3%
산 33
 
3.3%
광 28
 
2.8%
동 26
 
2.6%
남 25
 
2.5%
층 25
 
2.5%
Other values (135) 581
58.7%
Decimal Number
ValueCountFrequency (%)
1 50
18.1%
2 46
16.6%
3 42
15.2%
5 27
9.7%
4 26
9.4%
7 23
8.3%
6 18
 
6.5%
0 18
 
6.5%
8 15
 
5.4%
9 12
 
4.3%
Space Separator
ValueCountFrequency (%)
297
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 990
60.7%
Common 642
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 70
 
7.1%
시 70
 
7.1%
구 57
 
5.8%
도 42
 
4.2%
경 33
 
3.3%
산 33
 
3.3%
광 28
 
2.8%
동 26
 
2.6%
남 25
 
2.5%
층 25
 
2.5%
Other values (135) 581
58.7%
Common
ValueCountFrequency (%)
297
46.3%
1 50
 
7.8%
2 46
 
7.2%
3 42
 
6.5%
5 27
 
4.2%
, 26
 
4.0%
4 26
 
4.0%
7 23
 
3.6%
6 18
 
2.8%
0 18
 
2.8%
Other values (5) 69
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 990
60.7%
ASCII 642
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
46.3%
1 50
 
7.8%
2 46
 
7.2%
3 42
 
6.5%
5 27
 
4.2%
, 26
 
4.0%
4 26
 
4.0%
7 23
 
3.6%
6 18
 
2.8%
0 18
 
2.8%
Other values (5) 69
 
10.7%
Hangul
ValueCountFrequency (%)
로 70
 
7.1%
시 70
 
7.1%
구 57
 
5.8%
도 42
 
4.2%
경 33
 
3.3%
산 33
 
3.3%
광 28
 
2.8%
동 26
 
2.6%
남 25
 
2.5%
층 25
 
2.5%
Other values (135) 581
58.7%

Interactions

2023-12-12T09:38:10.734810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:38:10.525359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:38:10.847426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:38:10.616016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:38:15.650884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번공단일선기관교육기관명전화번호팩스번호우편번호주소
연번1.0000.0000.9371.0000.8740.0001.000
공단일선기관0.0001.0000.9531.0000.9590.9921.000
교육기관명0.9370.9531.0001.0000.9950.9601.000
전화번호1.0001.0001.0001.0001.0001.0001.000
팩스번호0.8740.9590.9951.0001.0000.9631.000
우편번호0.0000.9920.9601.0000.9631.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
2023-12-12T09:38:15.773515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호공단일선기관
연번1.000-0.0220.000
우편번호-0.0221.0000.813
공단일선기관0.0000.8131.000

Missing values

2023-12-12T09:38:10.977166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:38:11.108142image/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

연번공단일선기관교육기관명전화번호팩스번호우편번호주소
01강원지역본부(주)한국안전보건기술원033-734-3902033-735-390326311강원도 원주시 태장공단길 46
12전남동부지사주식회사 우리안전기술원061-727-1135061-742-992657924전라남도 순천시 고지5길 3
23인천광역본부한국건설안전연구원(주)032-515-8082032-517-808221358인천광역시 부평구 부평대로 138
34서울동부지사대신산업안전보건원02-471-555502-476-32465248서울특별시 강동구 천호대로151길 36 , 9층
45부산광역본부한국건설안전교육원(주)051-583-2601051-583-260346945부산광역시 사상구 사상로 336 , 3층
56경기서부지사YH건설안전교육원(주)031-468-8872031-446-007714088경기도 안양시 만안구 안양동 202-4
67경기지역본부중앙안전하이텍(주) 수원교육장031-242-1471042-367-147116263경기도 수원시 팔달구 정조로 735 , 2층
78경북동부지사한동에이치에스이(주)054-278-1122070-7614-361137758경상북도 포항시 북구 중흥로 103
89경기북부지사에스티종합안전(주)070-8671-5598070-8650-505511651경기도 의정부시 신흥로222번길 5-12
910경기동부지사세이프21(주)031-759-5600031-756-001613311경기도 성남시 수정구 수정로 71 , 4층
연번공단일선기관교육기관명전화번호팩스번호우편번호주소
6566서울광역본부(주)씨에스건설안전교육원02-1666-784502-6234-25133345서울 은평구 통일로 856
6667부산광역본부부산안전보건교육원(주)051-755-63200504-022-632048300부산 수영구 수영로 526-1
6768인천광역본부주식회사국제평생교육원032-428-5400032-428-540122135인천 미추홀구 주안로 108
6869경북지역본부경북안전교육원주식회사054-858-0487054-475-009536621경북 안동시 풍산읍 유곡길 133-2
6970전북지역본부주식회사 산업안전보건협회063-291-7745063-291-774854852전라북도 전주시 덕진구 유상로 47
7071울산지역본부한동에이치에스이(주) 울산터미널출장소052-265-1001070-7614-361144720울산광역시 남구 달삼로84번길 8
7172경기중부지사주식회사서희안전기술원031-990-5430031-990-546010071경기 김포시 김포한강10로133번길 127
7273서울광역본부서울건설기초안전교육원주식회사02-864-888002-832-37947413서울 영등포구 도림로 153
7374경기북부지사주식회사건설기초안전교육구리지사031-523-2254031-523-226511929경기도 구리시 검배로 5
7475울산지역본부사단법인한국안전보건협회울산지회052-275-10070504-368-221644985울산 울주군 청량읍 삼정로 824