Overview

Dataset statistics

Number of variables22
Number of observations7115
Missing cells1485
Missing cells (%)0.9%
Duplicate rows89
Duplicate rows (%)1.3%
Total size in memory1.2 MiB
Average record size in memory178.0 B

Variable types

Text4
Numeric2
Categorical11
DateTime2
Boolean3

Dataset

Description한국산업안전보건공단 인증원에서 제공하는 안전인증 주기도래 사업장 내역으로 사업장에 대한 정보 , 대상품 분류, 검사상태, 책임기관, 이전 검사 일자, 이번 합격 일자 등에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15087798/fileData.do

Alerts

Dataset has 89 (1.3%) duplicate rowsDuplicates
대상품_대 is highly imbalanced (53.9%)Imbalance
대상품_소 is highly imbalanced (50.1%)Imbalance
검사상태구분 is highly imbalanced (68.5%)Imbalance
1차 안내여부 is highly imbalanced (90.6%)Imbalance
3차 안내여부 is highly imbalanced (97.7%)Imbalance
이번 신청번호 has 388 (5.5%) missing valuesMissing
이번 검사일자 has 536 (7.5%) missing valuesMissing
이번 합격번호 has 561 (7.9%) missing valuesMissing
사업장개시번호 has 5836 (82.0%) zerosZeros

Reproduction

Analysis started2023-12-12 14:01:55.729174
Analysis finished2023-12-12 14:01:56.912736
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct3203
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
2023-12-12T23:01:57.035017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length10.295011
Min length2

Characters and Unicode

Total characters73249
Distinct characters647
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2051 ?
Unique (%)28.8%

Sample

1st row(주)진산인포시스
2nd row주식회사흥생산업
3rd rowDL케미칼(주) 여수공장
4th row경농산업
5th row주식회사제이케이씨
ValueCountFrequency (%)
신축공사 564
 
5.3%
아파트 228
 
2.1%
공동주택 219
 
2.0%
건설공사 84
 
0.8%
국제산업렌탈(주 75
 
0.7%
주식회사 67
 
0.6%
gs칼텍스(주)여수공장 67
 
0.6%
주)금강 63
 
0.6%
지역주택조합 59
 
0.6%
주)동호리프트 53
 
0.5%
Other values (3604) 9207
86.2%
2023-12-12T23:01:57.373954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5419
 
7.4%
3570
 
4.9%
( 3315
 
4.5%
) 3303
 
4.5%
사 2600
 
3.5%
공 2164
 
3.0%
이 1359
 
1.9%
업 1317
 
1.8%
회 1316
 
1.8%
식 1284
 
1.8%
Other values (637) 47602
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58388
79.7%
Space Separator 3589
 
4.9%
Open Punctuation 3507
 
4.8%
Close Punctuation 3504
 
4.8%
Uppercase Letter 2237
 
3.1%
Decimal Number 1254
 
1.7%
Lowercase Letter 247
 
0.3%
Dash Punctuation 227
 
0.3%
Other Punctuation 220
 
0.3%
Connector Punctuation 45
 
0.1%
Other values (2) 31
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5419
 
9.3%
사 2600
 
4.5%
공 2164
 
3.7%
이 1359
 
2.3%
업 1317
 
2.3%
회 1316
 
2.3%
식 1284
 
2.2%
스 1278
 
2.2%
산 1216
 
2.1%
동 1053
 
1.8%
Other values (560) 39382
67.4%
Uppercase Letter
ValueCountFrequency (%)
L 359
16.0%
B 318
14.2%
S 221
9.9%
C 198
8.9%
A 192
8.6%
G 188
8.4%
N 108
 
4.8%
E 91
 
4.1%
H 77
 
3.4%
M 70
 
3.1%
Other values (15) 415
18.6%
Lowercase Letter
ValueCountFrequency (%)
e 38
15.4%
a 36
14.6%
c 27
10.9%
t 24
9.7%
o 24
9.7%
r 13
 
5.3%
k 13
 
5.3%
g 12
 
4.9%
d 11
 
4.5%
i 11
 
4.5%
Other values (11) 38
15.4%
Decimal Number
ValueCountFrequency (%)
2 366
29.2%
1 282
22.5%
5 112
 
8.9%
3 110
 
8.8%
4 81
 
6.5%
6 76
 
6.1%
8 72
 
5.7%
0 70
 
5.6%
9 49
 
3.9%
7 35
 
2.8%
Other Punctuation
ValueCountFrequency (%)
/ 75
34.1%
. 63
28.6%
, 38
17.3%
& 22
 
10.0%
． 15
 
6.8%
， 5
 
2.3%
* 2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 3315
94.5%
（ 183
 
5.2%
[ 9
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 3303
94.3%
） 192
 
5.5%
] 9
 
0.3%
Space Separator
ValueCountFrequency (%)
3570
99.5%
　 19
 
0.5%
Math Symbol
ValueCountFrequency (%)
< 2
50.0%
> 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 227
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 45
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58415
79.7%
Common 12350
 
16.9%
Latin 2484
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5419
 
9.3%
사 2600
 
4.5%
공 2164
 
3.7%
이 1359
 
2.3%
업 1317
 
2.3%
회 1316
 
2.3%
식 1284
 
2.2%
스 1278
 
2.2%
산 1216
 
2.1%
동 1053
 
1.8%
Other values (561) 39409
67.5%
Latin
ValueCountFrequency (%)
L 359
14.5%
B 318
12.8%
S 221
 
8.9%
C 198
 
8.0%
A 192
 
7.7%
G 188
 
7.6%
N 108
 
4.3%
E 91
 
3.7%
H 77
 
3.1%
M 70
 
2.8%
Other values (36) 662
26.7%
Common
ValueCountFrequency (%)
3570
28.9%
( 3315
26.8%
) 3303
26.7%
2 366
 
3.0%
1 282
 
2.3%
- 227
 
1.8%
） 192
 
1.6%
（ 183
 
1.5%
5 112
 
0.9%
3 110
 
0.9%
Other values (20) 690
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58388
79.7%
ASCII 14419
 
19.7%
None 442
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5419
 
9.3%
사 2600
 
4.5%
공 2164
 
3.7%
이 1359
 
2.3%
업 1317
 
2.3%
회 1316
 
2.3%
식 1284
 
2.2%
스 1278
 
2.2%
산 1216
 
2.1%
동 1053
 
1.8%
Other values (560) 39382
67.4%
ASCII
ValueCountFrequency (%)
3570
24.8%
( 3315
23.0%
) 3303
22.9%
2 366
 
2.5%
L 359
 
2.5%
B 318
 
2.2%
1 282
 
2.0%
- 227
 
1.6%
S 221
 
1.5%
C 198
 
1.4%
Other values (60) 2260
15.7%
None
ValueCountFrequency (%)
） 192
43.4%
（ 183
41.4%
㈜ 27
 
6.1%
　 19
 
4.3%
． 15
 
3.4%
， 5
 
1.1%
２ 1
 
0.2%

사업자등록번호
Text

Distinct3027
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
2023-12-12T23:01:57.641626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9997189
Min length9

Characters and Unicode

Total characters71148
Distinct characters22
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1976 ?
Unique (%)27.8%

Sample

1st row4108192588
2nd row8238802530
3rd row8988601996
4th row5022575320
5th row5248100596
ValueCountFrequency (%)
1018116293 123
 
1.7%
1048158180 96
 
1.3%
1078160797 75
 
1.1%
1178153328 71
 
1.0%
4178400023 67
 
0.9%
2108153267 64
 
0.9%
1178135470 53
 
0.7%
1078198139 51
 
0.7%
6158151557 51
 
0.7%
1248609636 47
 
0.7%
Other values (3017) 6417
90.2%
2023-12-12T23:01:58.023891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13934
19.6%
8 10219
14.4%
0 9931
14.0%
6 6185
8.7%
3 6061
8.5%
2 5908
8.3%
5 5222
 
7.3%
4 5109
 
7.2%
7 4611
 
6.5%
9 3755
 
5.3%
Other values (12) 213
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70935
99.7%
Uppercase Letter 213
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 112
52.6%
C 63
29.6%
I 9
 
4.2%
B 6
 
2.8%
F 6
 
2.8%
K 5
 
2.3%
J 3
 
1.4%
R 3
 
1.4%
P 2
 
0.9%
M 2
 
0.9%
Other values (2) 2
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 13934
19.6%
8 10219
14.4%
0 9931
14.0%
6 6185
8.7%
3 6061
8.5%
2 5908
8.3%
5 5222
 
7.4%
4 5109
 
7.2%
7 4611
 
6.5%
9 3755
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
Common 70935
99.7%
Latin 213
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 112
52.6%
C 63
29.6%
I 9
 
4.2%
B 6
 
2.8%
F 6
 
2.8%
K 5
 
2.3%
J 3
 
1.4%
R 3
 
1.4%
P 2
 
0.9%
M 2
 
0.9%
Other values (2) 2
 
0.9%
Common
ValueCountFrequency (%)
1 13934
19.6%
8 10219
14.4%
0 9931
14.0%
6 6185
8.7%
3 6061
8.5%
2 5908
8.3%
5 5222
 
7.4%
4 5109
 
7.2%
7 4611
 
6.5%
9 3755
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71148
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13934
19.6%
8 10219
14.4%
0 9931
14.0%
6 6185
8.7%
3 6061
8.5%
2 5908
8.3%
5 5222
 
7.3%
4 5109
 
7.2%
7 4611
 
6.5%
9 3755
 
5.3%
Other values (12) 213
 
0.3%

사업장관리번호
Text

Distinct3076
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
2023-12-12T23:01:58.277156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters78265
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2019 ?
Unique (%)28.4%

Sample

1st row41081925880
2nd row82388025300
3rd row41785021060
4th row50225753200
5th row52481005960
ValueCountFrequency (%)
10181162936 123
 
1.7%
90700104187 96
 
1.3%
10781607970 73
 
1.0%
11781533280 71
 
1.0%
2017e610334 67
 
0.9%
90700281171 62
 
0.9%
11781354700 53
 
0.7%
61581515570 51
 
0.7%
10681338086 47
 
0.7%
12486096366 47
 
0.7%
Other values (3066) 6425
90.3%
2023-12-12T23:01:58.642455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16130
20.6%
1 13385
17.1%
8 8938
11.4%
6 6817
8.7%
2 6603
8.4%
3 5683
 
7.3%
7 5082
 
6.5%
5 4769
 
6.1%
4 4765
 
6.1%
9 4402
 
5.6%
Other values (26) 1691
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 76574
97.8%
Uppercase Letter 1677
 
2.1%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 691
41.2%
C 372
22.2%
B 159
 
9.5%
K 66
 
3.9%
D 53
 
3.2%
M 52
 
3.1%
F 52
 
3.1%
G 52
 
3.1%
J 32
 
1.9%
I 30
 
1.8%
Other values (14) 118
 
7.0%
Decimal Number
ValueCountFrequency (%)
0 16130
21.1%
1 13385
17.5%
8 8938
11.7%
6 6817
8.9%
2 6603
8.6%
3 5683
 
7.4%
7 5082
 
6.6%
5 4769
 
6.2%
4 4765
 
6.2%
9 4402
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
c 12
85.7%
d 2
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Common 76574
97.8%
Latin 1691
 
2.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 691
40.9%
C 372
22.0%
B 159
 
9.4%
K 66
 
3.9%
D 53
 
3.1%
M 52
 
3.1%
F 52
 
3.1%
G 52
 
3.1%
J 32
 
1.9%
I 30
 
1.8%
Other values (16) 132
 
7.8%
Common
ValueCountFrequency (%)
0 16130
21.1%
1 13385
17.5%
8 8938
11.7%
6 6817
8.9%
2 6603
8.6%
3 5683
 
7.4%
7 5082
 
6.6%
5 4769
 
6.2%
4 4765
 
6.2%
9 4402
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16130
20.6%
1 13385
17.1%
8 8938
11.4%
6 6817
8.7%
2 6603
8.4%
3 5683
 
7.3%
7 5082
 
6.5%
5 4769
 
6.1%
4 4765
 
6.1%
9 4402
 
5.6%
Other values (26) 1691
 
2.2%

사업장개시번호
Real number (ℝ)

ZEROS 

Distinct290
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6473712 × 1010
Minimum0
Maximum9.2305678 × 1010
Zeros5836
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size62.7 KiB
2023-12-12T23:01:58.792237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.2104604 × 1010
Maximum9.2305678 × 1010
Range9.2305678 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5256343 × 1010
Coefficient of variation (CV)2.1401577
Kurtosis0.80768809
Mean1.6473712 × 1010
Median Absolute Deviation (MAD)0
Skewness1.6750612
Sum1.1721046 × 1014
Variance1.2430097 × 1021
MonotonicityNot monotonic
2023-12-12T23:01:58.934102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5836
82.0%
92002558497 35
 
0.5%
92000873927 27
 
0.4%
92013420377 22
 
0.3%
92102243407 20
 
0.3%
92006046007 20
 
0.3%
92104808027 20
 
0.3%
92101154567 19
 
0.3%
92017700517 19
 
0.3%
92104603967 17
 
0.2%
Other values (280) 1080
 
15.2%
ValueCountFrequency (%)
0 5836
82.0%
13585003600 4
 
0.1%
22087833396 1
 
< 0.1%
60581320626 1
 
< 0.1%
61282076846 2
 
< 0.1%
90803169397 6
 
0.1%
90906615327 1
 
< 0.1%
91100284817 1
 
< 0.1%
91100450207 3
 
< 0.1%
91107362117 1
 
< 0.1%
ValueCountFrequency (%)
92305678187 1
 
< 0.1%
92213475507 1
 
< 0.1%
92209249867 2
 
< 0.1%
92208595627 1
 
< 0.1%
92206008037 1
 
< 0.1%
92203115767 4
0.1%
92203077567 2
 
< 0.1%
92202614197 1
 
< 0.1%
92201953137 9
0.1%
92201675507 3
 
< 0.1%

대상품_대
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
크레인
4046 
리프트
2360 
압력용기
523 
프레스
 
91
고소작업대
 
27
Other values (4)
 
68

Length

Max length5
Median length3
Mean length3.0886859
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row크레인
2nd row크레인
3rd row압력용기
4th row크레인
5th row크레인

Common Values

ValueCountFrequency (%)
크레인 4046
56.9%
리프트 2360
33.2%
압력용기 523
 
7.4%
프레스 91
 
1.3%
고소작업대 27
 
0.4%
사출성형기 27
 
0.4%
전단기 16
 
0.2%
롤러기 13
 
0.2%
곤돌라 12
 
0.2%

Length

2023-12-12T23:01:59.080157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:01:59.227488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
크레인 4046
56.9%
리프트 2360
33.2%
압력용기 523
 
7.4%
프레스 91
 
1.3%
고소작업대 27
 
0.4%
사출성형기 27
 
0.4%
전단기 16
 
0.2%
롤러기 13
 
0.2%
곤돌라 12
 
0.2%

대상품_중
Categorical

Distinct19
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
천장주행크레인
3439 
건설작업용리프트
1836 
일반작업용리프트
524 
압력용기
523 
모노레일식호이스트
 
295
Other values (14)
498 

Length

Max length9
Median length8
Mean length7.0760365
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row천장주행크레인
2nd row천장주행크레인
3rd row압력용기
4th row천장주행크레인
5th row천장주행크레인

Common Values

ValueCountFrequency (%)
천장주행크레인 3439
48.3%
건설작업용리프트 1836
25.8%
일반작업용리프트 524
 
7.4%
압력용기 523
 
7.4%
모노레일식호이스트 295
 
4.1%
갠트리크레인 125
 
1.8%
액압 프레스 70
 
1.0%
지브크레인 66
 
0.9%
호이스트 58
 
0.8%
기타크레인 31
 
0.4%
Other values (9) 148
 
2.1%

Length

2023-12-12T23:01:59.404771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천장주행크레인 3439
47.7%
건설작업용리프트 1836
25.5%
일반작업용리프트 524
 
7.3%
압력용기 523
 
7.3%
모노레일식호이스트 295
 
4.1%
갠트리크레인 125
 
1.7%
프레스 91
 
1.3%
액압 70
 
1.0%
지브크레인 66
 
0.9%
호이스트 58
 
0.8%
Other values (10) 179
 
2.5%

대상품_소
Categorical

IMBALANCE 

Distinct27
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
천장
3439 
랙 및 피니언식
1835 
유압식
451 
갑종
 
336
모노레일식호이스트
 
295
Other values (22)
759 

Length

Max length9
Median length2
Mean length3.9931131
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row천장
2nd row천장
3rd row갑종
4th row천장
5th row천장

Common Values

ValueCountFrequency (%)
천장 3439
48.3%
랙 및 피니언식 1835
25.8%
유압식 451
 
6.3%
갑종 336
 
4.7%
모노레일식호이스트 295
 
4.1%
을종 187
 
2.6%
갠트리 125
 
1.8%
액압식 82
 
1.2%
지브 66
 
0.9%
호이스트 58
 
0.8%
Other values (17) 241
 
3.4%

Length

2023-12-12T23:01:59.567252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천장 3439
31.9%
랙 1835
17.0%
및 1835
17.0%
피니언식 1835
17.0%
유압식 451
 
4.2%
갑종 336
 
3.1%
모노레일식호이스트 295
 
2.7%
을종 187
 
1.7%
갠트리 125
 
1.2%
액압식 82
 
0.8%
Other values (20) 367
 
3.4%

검사상태구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
수검완료
6334 
미수검
 
388
진행
 
362
신청
 
31

Length

Max length4
Median length4
Mean length3.8349965
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미수검
2nd row수검완료
3rd row수검완료
4th row진행
5th row수검완료

Common Values

ValueCountFrequency (%)
수검완료 6334
89.0%
미수검 388
 
5.5%
진행 362
 
5.1%
신청 31
 
0.4%

Length

2023-12-12T23:01:59.697332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:01:59.821019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수검완료 6334
89.0%
미수검 388
 
5.5%
진행 362
 
5.1%
신청 31
 
0.4%

책임 기관
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
한국승강기안전공단
3703 
대한산업안전협회
2892 
한국안전기술협회
446 
안전보건공단
 
74

Length

Max length9
Median length9
Mean length8.4996486
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국승강기안전공단
2nd row대한산업안전협회
3rd row한국안전기술협회
4th row한국승강기안전공단
5th row한국승강기안전공단

Common Values

ValueCountFrequency (%)
한국승강기안전공단 3703
52.0%
대한산업안전협회 2892
40.6%
한국안전기술협회 446
 
6.3%
안전보건공단 74
 
1.0%

Length

2023-12-12T23:01:59.962553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:00.120660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국승강기안전공단 3703
52.0%
대한산업안전협회 2892
40.6%
한국안전기술협회 446
 
6.3%
안전보건공단 74
 
1.0%

책임 지사
Categorical

Distinct45
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
경인지역본부
622 
경기강원지역본부
621 
대구경북지역본부
569 
서울지역본부
533 
충청지역본부
 
377
Other values (40)
4393 

Length

Max length8
Median length6
Mean length5.9747013
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row호남지역본부
2nd row포항지회
3rd row여수지회
4th row대구경북지역본부
5th row경인지역본부

Common Values

ValueCountFrequency (%)
경인지역본부 622
 
8.7%
경기강원지역본부 621
 
8.7%
대구경북지역본부 569
 
8.0%
서울지역본부 533
 
7.5%
충청지역본부 377
 
5.3%
호남지역본부 333
 
4.7%
천안지사 312
 
4.4%
부산지역본부 277
 
3.9%
경기남부지회 272
 
3.8%
부산경남지역본부 253
 
3.6%
Other values (35) 2946
41.4%

Length

2023-12-12T23:02:00.250713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경인지역본부 622
 
8.7%
경기강원지역본부 621
 
8.7%
대구경북지역본부 569
 
8.0%
서울지역본부 533
 
7.5%
충청지역본부 377
 
5.3%
호남지역본부 333
 
4.7%
천안지사 312
 
4.4%
부산지역본부 277
 
3.9%
경기남부지회 272
 
3.8%
부산경남지역본부 253
 
3.6%
Other values (35) 2946
41.4%

책임 노동관서
Categorical

Distinct49
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
경기
532 
천안
 
375
부산북부
 
351
여수
 
314
평택
 
303
Other values (44)
5240 

Length

Max length9
Median length2
Mean length2.8586086
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주청
2nd row포항
3rd row여수
4th row대구청(4000)
5th row부천

Common Values

ValueCountFrequency (%)
경기 532
 
7.5%
천안 375
 
5.3%
부산북부 351
 
4.9%
여수 314
 
4.4%
평택 303
 
4.3%
양산 294
 
4.1%
대구서부 294
 
4.1%
청주 283
 
4.0%
안산 280
 
3.9%
부천 275
 
3.9%
Other values (39) 3814
53.6%

Length

2023-12-12T23:02:00.377257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 532
 
7.5%
천안 375
 
5.3%
부산북부 351
 
4.9%
여수 314
 
4.4%
평택 303
 
4.3%
양산 294
 
4.1%
대구서부 294
 
4.1%
청주 283
 
4.0%
안산 280
 
3.9%
부천 275
 
3.9%
Other values (39) 3814
53.6%

이전 검사 기관
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
한국승강기안전공단
3706 
대한산업안전협회
2648 
안전보건공단
761 

Length

Max length9
Median length9
Mean length8.3069571
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국승강기안전공단
2nd row한국승강기안전공단
3rd row안전보건공단
4th row한국승강기안전공단
5th row한국승강기안전공단

Common Values

ValueCountFrequency (%)
한국승강기안전공단 3706
52.1%
대한산업안전협회 2648
37.2%
안전보건공단 761
 
10.7%

Length

2023-12-12T23:02:00.496186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:00.615941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국승강기안전공단 3706
52.1%
대한산업안전협회 2648
37.2%
안전보건공단 761
 
10.7%

이전 검사 지사
Categorical

Distinct44
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
경기강원지역본부
660 
경인지역본부
617 
대구경북지역본부
585 
충청지역본부
 
370
서울지역본부
 
347
Other values (39)
4536 

Length

Max length8
Median length6
Mean length6.1203092
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row호남지역본부
2nd row대구경북지역본부
3rd row부산광역본부
4th row대구경북지역본부
5th row경인지역본부

Common Values

ValueCountFrequency (%)
경기강원지역본부 660
 
9.3%
경인지역본부 617
 
8.7%
대구경북지역본부 585
 
8.2%
충청지역본부 370
 
5.2%
서울지역본부 347
 
4.9%
호남지역본부 325
 
4.6%
부산광역본부 304
 
4.3%
천안지사 293
 
4.1%
부산경남지역본부 255
 
3.6%
부산지역본부 242
 
3.4%
Other values (34) 3117
43.8%

Length

2023-12-12T23:02:00.766611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기강원지역본부 660
 
9.3%
경인지역본부 617
 
8.7%
대구경북지역본부 585
 
8.2%
충청지역본부 370
 
5.2%
서울지역본부 347
 
4.9%
호남지역본부 325
 
4.6%
부산광역본부 304
 
4.3%
천안지사 293
 
4.1%
부산경남지역본부 255
 
3.6%
부산지역본부 242
 
3.4%
Other values (34) 3117
43.8%

이전 검사 일자
Date

Distinct268
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
Minimum2013-09-23 00:00:00
Maximum2022-11-30 00:00:00
2023-12-12T23:02:00.943006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:01.078125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

이번 신청번호
Real number (ℝ)

MISSING 

Distinct3524
Distinct (%)52.4%
Missing388
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean5579372.4
Minimum5256999
Maximum5647590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.7 KiB
2023-12-12T23:02:01.210760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5256999
5-th percentile5538498.6
Q15559701
median5576521
Q35600850.5
95-th percentile5624507
Maximum5647590
Range390591
Interquartile range (IQR)41149.5

Descriptive statistics

Standard deviation27760.887
Coefficient of variation (CV)0.0049756289
Kurtosis5.4823111
Mean5579372.4
Median Absolute Deviation (MAD)20055
Skewness-0.49864901
Sum3.7532438 × 1010
Variance7.7066684 × 108
MonotonicityNot monotonic
2023-12-12T23:02:01.345664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5585141 66
 
0.9%
5547550 30
 
0.4%
5522718 28
 
0.4%
5575296 23
 
0.3%
5568098 20
 
0.3%
5535466 18
 
0.3%
5583668 18
 
0.3%
5585677 18
 
0.3%
5583126 17
 
0.2%
5607461 17
 
0.2%
Other values (3514) 6472
91.0%
(Missing) 388
 
5.5%
ValueCountFrequency (%)
5256999 1
 
< 0.1%
5300845 2
< 0.1%
5367477 1
 
< 0.1%
5490505 2
< 0.1%
5492177 3
< 0.1%
5494921 2
< 0.1%
5495872 1
 
< 0.1%
5503227 1
 
< 0.1%
5503285 1
 
< 0.1%
5503710 1
 
< 0.1%
ValueCountFrequency (%)
5647590 3
< 0.1%
5647033 1
 
< 0.1%
5646952 1
 
< 0.1%
5646761 1
 
< 0.1%
5646531 1
 
< 0.1%
5646139 2
< 0.1%
5646067 1
 
< 0.1%
5645403 1
 
< 0.1%
5645152 1
 
< 0.1%
5645090 2
< 0.1%

이번 검사기관
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
한국승강기안전공단
3013 
대한산업안전협회
2705 
한국안전기술협회
1003 
<NA>
388 
안전보건공단
 
6

Length

Max length9
Median length8
Mean length8.2036543
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국승강기안전공단 3013
42.3%
대한산업안전협회 2705
38.0%
한국안전기술협회 1003
 
14.1%
<NA> 388
 
5.5%
안전보건공단 6
 
0.1%

Length

2023-12-12T23:02:01.509721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:01.611427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국승강기안전공단 3013
42.3%
대한산업안전협회 2705
38.0%
한국안전기술협회 1003
 
14.1%
na 388
 
5.5%
안전보건공단 6
 
0.1%

이번 검사지사
Categorical

Distinct47
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
경기강원지역본부
557 
경인지역본부
518 
대구경북지역본부
503 
<NA>
 
388
서울지역본부
 
368
Other values (42)
4781 

Length

Max length8
Median length6
Mean length5.7633169
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row포항지회
3rd row전남지회
4th row대구경북지역본부
5th row경인지역본부

Common Values

ValueCountFrequency (%)
경기강원지역본부 557
 
7.8%
경인지역본부 518
 
7.3%
대구경북지역본부 503
 
7.1%
<NA> 388
 
5.5%
서울지역본부 368
 
5.2%
충청지역본부 305
 
4.3%
부산지역본부 292
 
4.1%
전남지회 282
 
4.0%
호남지역본부 263
 
3.7%
경기남부지회 232
 
3.3%
Other values (37) 3407
47.9%

Length

2023-12-12T23:02:01.760276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기강원지역본부 557
 
7.8%
경인지역본부 518
 
7.3%
대구경북지역본부 503
 
7.1%
na 388
 
5.5%
서울지역본부 368
 
5.2%
충청지역본부 305
 
4.3%
부산지역본부 292
 
4.1%
전남지회 282
 
4.0%
호남지역본부 263
 
3.7%
경기남부지회 232
 
3.3%
Other values (37) 3407
47.9%

이번 검사일자
Date

MISSING 

Distinct202
Distinct (%)3.1%
Missing536
Missing (%)7.5%
Memory size55.7 KiB
Minimum2021-03-19 00:00:00
Maximum2023-07-18 00:00:00
2023-12-12T23:02:01.925246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:02.089579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

이번 합격번호
Text

MISSING 

Distinct6554
Distinct (%)100.0%
Missing561
Missing (%)7.9%
Memory size55.7 KiB
2023-12-12T23:02:02.355156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters78648
Distinct characters38
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6554 ?
Unique (%)100.0%

Sample

1st row23BW54C51012
2nd row23BR61E51733
3rd row23CF31C51949
4th row23CO52C50780
5th row23DT54C50693
ValueCountFrequency (%)
23bd63d50001 2
 
< 0.1%
23bd43d50003 2
 
< 0.1%
23bd43d50002 2
 
< 0.1%
23bd55d50003 2
 
< 0.1%
23bd55d50002 2
 
< 0.1%
23bd55d50001 2
 
< 0.1%
23be31d50042 1
 
< 0.1%
23by02d50014 1
 
< 0.1%
23by02d50017 1
 
< 0.1%
23by02d50016 1
 
< 0.1%
Other values (6538) 6538
99.8%
2023-12-12T23:02:02.737417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 11522
14.7%
5 10799
13.7%
2 10153
12.9%
0 9817
12.5%
C 6978
8.9%
1 6535
8.3%
D 3457
 
4.4%
4 3441
 
4.4%
B 2759
 
3.5%
6 2497
 
3.2%
Other values (28) 10690
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58986
75.0%
Uppercase Letter 19472
 
24.8%
Lowercase Letter 190
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 6978
35.8%
D 3457
17.8%
B 2759
 
14.2%
E 921
 
4.7%
M 743
 
3.8%
G 712
 
3.7%
F 572
 
2.9%
I 420
 
2.2%
K 406
 
2.1%
N 346
 
1.8%
Other values (16) 2158
 
11.1%
Decimal Number
ValueCountFrequency (%)
3 11522
19.5%
5 10799
18.3%
2 10153
17.2%
0 9817
16.6%
1 6535
11.1%
4 3441
 
5.8%
6 2497
 
4.2%
7 1531
 
2.6%
8 1433
 
2.4%
9 1258
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
c 121
63.7%
d 69
36.3%

Most occurring scripts

ValueCountFrequency (%)
Common 58986
75.0%
Latin 19662
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 6978
35.5%
D 3457
17.6%
B 2759
 
14.0%
E 921
 
4.7%
M 743
 
3.8%
G 712
 
3.6%
F 572
 
2.9%
I 420
 
2.1%
K 406
 
2.1%
N 346
 
1.8%
Other values (18) 2348
 
11.9%
Common
ValueCountFrequency (%)
3 11522
19.5%
5 10799
18.3%
2 10153
17.2%
0 9817
16.6%
1 6535
11.1%
4 3441
 
5.8%
6 2497
 
4.2%
7 1531
 
2.6%
8 1433
 
2.4%
9 1258
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 11522
14.7%
5 10799
13.7%
2 10153
12.9%
0 9817
12.5%
C 6978
8.9%
1 6535
8.3%
D 3457
 
4.4%
4 3441
 
4.4%
B 2759
 
3.5%
6 2497
 
3.2%
Other values (28) 10690
13.6%

1차 안내여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
True
7029 
False
 
86
ValueCountFrequency (%)
True 7029
98.8%
False 86
 
1.2%
2023-12-12T23:02:02.939051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

2차 안내여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
6309 
True
806 
ValueCountFrequency (%)
False 6309
88.7%
True 806
 
11.3%
2023-12-12T23:02:03.053167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

3차 안내여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7099 
True
 
16
ValueCountFrequency (%)
False 7099
99.8%
True 16
 
0.2%
2023-12-12T23:02:03.143266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

사업장명사업자등록번호사업장관리번호사업장개시번호대상품_대대상품_중대상품_소검사상태구분책임 기관책임 지사책임 노동관서이전 검사 기관이전 검사 지사이전 검사 일자이번 신청번호이번 검사기관이번 검사지사이번 검사일자이번 합격번호1차 안내여부2차 안내여부3차 안내여부
0(주)진산인포시스4108192588410819258800크레인천장주행크레인천장미수검한국승강기안전공단호남지역본부광주청한국승강기안전공단호남지역본부2020-06-30<NA><NA><NA><NA><NA>YNN
1주식회사흥생산업8238802530823880253000크레인천장주행크레인천장수검완료대한산업안전협회포항지회포항한국승강기안전공단대구경북지역본부2020-06-305609444대한산업안전협회포항지회2023-06-0723BW54C51012YNN
2DL케미칼(주) 여수공장8988601996417850210600압력용기압력용기갑종수검완료한국안전기술협회여수지회여수안전보건공단부산광역본부2020-02-145581226대한산업안전협회전남지회2023-04-2623BR61E51733YNN
3경농산업5022575320502257532000크레인천장주행크레인천장진행한국승강기안전공단대구경북지역본부대구청(4000)한국승강기안전공단대구경북지역본부2020-06-305633695한국승강기안전공단대구경북지역본부<NA><NA>YNN
4주식회사제이케이씨5248100596524810059600크레인천장주행크레인천장수검완료한국승강기안전공단경인지역본부부천한국승강기안전공단경인지역본부2020-06-305632691한국승강기안전공단경인지역본부2023-07-1423CF31C51949YNN
5화성전기6104262803610426280300크레인천장주행크레인천장수검완료한국승강기안전공단울산지사울산한국승강기안전공단울산지사2020-06-305603892한국승강기안전공단울산지사2023-06-0523CO52C50780YNN
6성원제강(주)포항공장5068504082506850408200크레인천장주행크레인천장수검완료대한산업안전협회포항지회포항한국승강기안전공단대구경북지역본부2020-06-305609879한국안전기술협회포항지회2023-06-0823DT54C50693YNN
7성원제강(주)포항공장5068504082506850408200크레인천장주행크레인천장수검완료대한산업안전협회포항지회포항한국승강기안전공단대구경북지역본부2020-06-305609879한국안전기술협회포항지회2023-06-0823DT54C50706YNN
8(주)효진오토테크1348102014134810201400크레인천장주행크레인천장수검완료대한산업안전협회경기지역본부경기대한산업안전협회경기지역본부2020-06-305631532대한산업안전협회경기지역본부2023-07-0523BJ31C50177YNN
9(주)효진오토테크1348102014134810201400크레인천장주행크레인천장수검완료대한산업안전협회경기지역본부경기대한산업안전협회경기지역본부2020-06-305631532대한산업안전협회경기지역본부2023-07-0523BJ31C50176YNN
사업장명사업자등록번호사업장관리번호사업장개시번호대상품_대대상품_중대상품_소검사상태구분책임 기관책임 지사책임 노동관서이전 검사 기관이전 검사 지사이전 검사 일자이번 신청번호이번 검사기관이번 검사지사이번 검사일자이번 합격번호1차 안내여부2차 안내여부3차 안내여부
7105(주)쎄크1248171120124817112000크레인천장주행크레인천장수검완료한국승강기안전공단경기강원지역본부경기한국승강기안전공단경기강원지역본부2020-01-025545134한국안전기술협회경기남부지회2022-12-2822DD31C53652YNN
7106(주)우진산전 증평공장5258501198919209330410크레인천장주행크레인천장수검완료대한산업안전협회충북지회청주대한산업안전협회충북지회2020-01-025539232대한산업안전협회충북지회2022-12-0122BP43C50884YNN
7107훌루테크(주)함안공장6098141812749850075700크레인천장주행크레인천장수검완료대한산업안전협회창원지회창원대한산업안전협회창원지회2020-01-025548115한국안전기술협회경남지회2022-12-1522DN55C55251YNN
7108겸백면민회 합동영농조합법인41681593832023EBR00120크레인천장주행크레인천장수검완료대한산업안전협회전남지회여수대한산업안전협회전남지회2020-01-025562857대한산업안전협회전남지회2023-01-3023BR61C50146YNN
7109(주)우진산전 증평공장5258501198919209330410크레인천장주행크레인천장수검완료대한산업안전협회충북지회청주대한산업안전협회충북지회2020-01-025539232대한산업안전협회충북지회2022-12-0122BP43C50883YNN
7110부림엔지니어링주식회사4468600684446860068400크레인모노레일식호이스트모노레일식호이스트수검완료대한산업안전협회전남지회여수대한산업안전협회강원지회2022-07-015567116대한산업안전협회강원지회2023-02-0923BN61C50001YNN
7111부림엔지니어링주식회사4468600684446860068400크레인모노레일식호이스트모노레일식호이스트수검완료대한산업안전협회전남지회여수대한산업안전협회강원지회2022-07-015567116대한산업안전협회강원지회2023-02-0923BN61C50002YNN
7112수원장안공동주택신축현장10481734061048173406692022694727리프트건설작업용리프트랙 및 피니언식수검완료한국안전기술협회경기남부지회경기대한산업안전협회경기지역본부2022-07-015537930한국승강기안전공단경기강원지역본부2022-12-0922CG31D51459YNN
7113수원장안공동주택신축현장10481734061048173406692022694727리프트건설작업용리프트랙 및 피니언식수검완료한국안전기술협회경기남부지회경기대한산업안전협회경기지역본부2022-07-015537930한국승강기안전공단경기강원지역본부2022-12-0922CG31D51458YNN
7114(주)풍경을그리다 BLD신축공사51481577915148157791692109803777리프트건설작업용리프트랙 및 피니언식미수검대한산업안전협회대구지역본부대구청(4000)대한산업안전협회대구지역본부2022-07-01<NA><NA><NA><NA><NA>YNN

Duplicate rows

Most frequently occurring

사업장명사업자등록번호사업장관리번호사업장개시번호대상품_대대상품_중대상품_소검사상태구분책임 기관책임 지사책임 노동관서이전 검사 기관이전 검사 지사이전 검사 일자이번 신청번호이번 검사기관이번 검사지사이번 검사일자이번 합격번호1차 안내여부2차 안내여부3차 안내여부# duplicates
15(주)화일ACS8138700974813870097400압력용기압력용기을종미수검대한산업안전협회경기서부지회부천안전보건공단인천광역본부2020-03-18<NA><NA><NA><NA><NA>YNN24
10(주)아세아텍스1378130784137813078400압력용기압력용기을종미수검대한산업안전협회경기서부지회부천안전보건공단인천광역본부2020-03-13<NA><NA><NA><NA><NA>YNN20
16(주)화일ACS8138700974813870097400압력용기압력용기을종미수검대한산업안전협회경기서부지회부천안전보건공단인천광역본부2020-04-29<NA><NA><NA><NA><NA>YNN13
84한일화학공업(주)1338126110907002065610크레인천장주행크레인천장진행한국승강기안전공단천안지사천안한국승강기안전공단천안지사2020-06-165620660한국승강기안전공단천안지사<NA><NA>YNN6
85한황산업(주)밀양공장3778501129377850112900크레인천장주행크레인천장진행대한산업안전협회경남동부지회양산대한산업안전협회경남동부지회2020-06-175633369대한산업안전협회경남동부지회<NA><NA>YNN6
4(주)덕산테코피아천안사업장4798500483479850048300압력용기압력용기갑종미수검안전보건공단대전세종광역본부천안안전보건공단부산광역본부2020-01-06<NA><NA><NA><NA><NA>YNN5
88현대오일뱅크(주)3108120275310812027500크레인천장주행크레인천장미수검한국승강기안전공단천안지사서산한국승강기안전공단천안지사2020-06-22<NA><NA><NA><NA><NA>YNN5
8(주)삼성엠케이5118111097511811109700크레인천장주행크레인천장진행한국승강기안전공단대구경북지역본부영주한국승강기안전공단대구경북지역본부2020-06-225634249한국승강기안전공단대구경북지역본부<NA><NA>YNN4
19M16 Ph-2 Project10181349281018134928692107950217곤돌라곤돌라상설식미수검한국안전기술협회경기동부지회성남안전보건공단경기지역본부2022-11-18<NA><NA><NA><NA><NA>YNN4
31삼성전기 부산사업장12481009792017E8104690압력용기압력용기을종미수검한국안전기술협회부산지역본부부산북부안전보건공단부산광역본부2020-06-26<NA><NA><NA><NA><NA>YNN4