Overview

Dataset statistics

Number of variables13
Number of observations103
Missing cells106
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 KiB
Average record size in memory108.3 B

Variable types

Categorical9
Text2
Numeric1
Boolean1

Dataset

Description한국동서발전의 화학물질 위험성평가 리스트 정보를 제공합니다. 승인번호, 사업소, 제품명, CAS번호, 물질번호 등의 항목을 나타냅니다.
Author한국동서발전(주)
URLhttps://www.data.go.kr/data/15087276/fileData.do

Alerts

사업소 has constant value ""Constant
노출수준 is highly overall correlated with 위험성 and 4 other fieldsHigh correlation
감소대책 is highly overall correlated with 승인번호 and 3 other fieldsHigh correlation
유해성 is highly overall correlated with 위험성 and 1 other fieldsHigh correlation
개정일 is highly overall correlated with 승인번호 and 5 other fieldsHigh correlation
승인번호 is highly overall correlated with 제품명 and 6 other fieldsHigh correlation
제품명 is highly overall correlated with 승인번호 and 6 other fieldsHigh correlation
안전등급 is highly overall correlated with 승인번호 and 4 other fieldsHigh correlation
안전보건관리 확인사항 is highly overall correlated with 승인번호 and 4 other fieldsHigh correlation
용도 is highly overall correlated with 위험성 and 7 other fieldsHigh correlation
위험성 is highly overall correlated with 노출수준 and 2 other fieldsHigh correlation
위험성 has 53 (51.5%) missing valuesMissing
감소대책 has 53 (51.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 09:38:57.734671
Analysis finished2023-12-12 09:38:59.425013
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

승인번호
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size956.0 B
2021-0251
10 
2021-0434
7 
2021-0255
7 
2021-0252
7 
2021-0428
7 
Other values (22)
65 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique6 ?
Unique (%)5.8%

Sample

1st row2021-0261
2nd row2021-0261
3rd row2021-0261
4th row2021-0261
5th row2021-0261

Common Values

ValueCountFrequency (%)
2021-0251 10
 
9.7%
2021-0434 7
 
6.8%
2021-0255 7
 
6.8%
2021-0252 7
 
6.8%
2021-0428 7
 
6.8%
2021-0429 6
 
5.8%
2021-0253 6
 
5.8%
2021-0440 5
 
4.9%
2021-0261 5
 
4.9%
2021-0431 4
 
3.9%
Other values (17) 39
37.9%

Length

2023-12-12T18:38:59.507874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-0251 10
 
9.7%
2021-0255 7
 
6.8%
2021-0252 7
 
6.8%
2021-0428 7
 
6.8%
2021-0434 7
 
6.8%
2021-0429 6
 
5.8%
2021-0253 6
 
5.8%
2021-0440 5
 
4.9%
2021-0261 5
 
4.9%
2021-0431 4
 
3.9%
Other values (17) 39
37.9%

사업소
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
당진화력
103 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당진화력 103
100.0%

Length

2023-12-12T18:38:59.667055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:38:59.809090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당진화력 103
100.0%

제품명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size956.0 B
페인트,실리우레탄페인트,SFMU-320C,백색,16ℓ/CAN,탱크도장,0
14 
징크신너,4ℓ/CAN
12 
페인트,에폭시,프라이머,적갈색,4ℓ/CAN,방청용,하도용
10 
몰리코트,MOLYKOTE,400℃ 이내,330㎖/CAN,G-RAPID P
7 
중방식페인트,폴리우레,백색,4ℓ/CAN,철구조물 및 배관용,상도용
7 
Other values (17)
53 

Length

Max length49
Median length39
Mean length30.407767
Min length11

Unique

Unique3 ?
Unique (%)2.9%

Sample

1st row실리콘,다우실792,투명색,DAWOOSIL
2nd row실리콘,다우실792,투명색,DAWOOSIL
3rd row실리콘,다우실792,투명색,DAWOOSIL
4th row실리콘,다우실792,투명색,DAWOOSIL
5th row실리콘,다우실792,투명색,DAWOOSIL

Common Values

ValueCountFrequency (%)
페인트,실리우레탄페인트,SFMU-320C,백색,16ℓ/CAN,탱크도장,0 14
13.6%
징크신너,4ℓ/CAN 12
11.7%
페인트,에폭시,프라이머,적갈색,4ℓ/CAN,방청용,하도용 10
 
9.7%
몰리코트,MOLYKOTE,400℃ 이내,330㎖/CAN,G-RAPID P 7
 
6.8%
중방식페인트,폴리우레,백색,4ℓ/CAN,철구조물 및 배관용,상도용 7
 
6.8%
신너,4ℓ,에폭시 페인트 7
 
6.8%
세척제,전기접점 세정제,CAN,전기접점,나바켐 DC-3000 6
 
5.8%
실리콘,다우실792,투명색,DAWOOSIL 5
 
4.9%
윤활방청제,WD40,SPRAY,360㎖ 4
 
3.9%
접착제첨가물,METAL PRIMER,이소부틸케톤 3
 
2.9%
Other values (12) 28
27.2%

Length

2023-12-12T18:38:59.964097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
페인트,실리우레탄페인트,sfmu-320c,백색,16ℓ/can,탱크도장,0 14
 
7.4%
징크신너,4ℓ/can 12
 
6.3%
페인트,에폭시,프라이머,적갈색,4ℓ/can,방청용,하도용 10
 
5.3%
몰리코트,molykote,400℃ 7
 
3.7%
이내,330㎖/can,g-rapid 7
 
3.7%
p 7
 
3.7%
중방식페인트,폴리우레,백색,4ℓ/can,철구조물 7
 
3.7%
및 7
 
3.7%
배관용,상도용 7
 
3.7%
신너,4ℓ,에폭시 7
 
3.7%
Other values (35) 104
55.0%

CAS번호
Text

Distinct53
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-12T18:39:00.249377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.8737864
Min length7

Characters and Unicode

Total characters914
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

Unique34 ?
Unique (%)33.0%

Sample

1st row70131-67-8
2nd row63148-62-9
3rd row22984-54-9
4th row112945-52-5
5th row1760-24-3
ValueCountFrequency (%)
1330-20-7 8
 
7.8%
108-65-6 6
 
5.8%
108-10-1 6
 
5.8%
64742-95-6 6
 
5.8%
64742-54-7 5
 
4.9%
100-41-4 5
 
4.9%
141-78-6 4
 
3.9%
14808-60-7 3
 
2.9%
4259-15-8 3
 
2.9%
64742-82-1 3
 
2.9%
Other values (43) 54
52.4%
2023-12-12T18:39:00.719259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 206
22.5%
1 104
11.4%
4 96
10.5%
0 81
 
8.9%
7 81
 
8.9%
8 75
 
8.2%
6 72
 
7.9%
2 59
 
6.5%
3 51
 
5.6%
5 49
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 708
77.5%
Dash Punctuation 206
 
22.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 104
14.7%
4 96
13.6%
0 81
11.4%
7 81
11.4%
8 75
10.6%
6 72
10.2%
2 59
8.3%
3 51
7.2%
5 49
6.9%
9 40
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 914
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 206
22.5%
1 104
11.4%
4 96
10.5%
0 81
 
8.9%
7 81
 
8.9%
8 75
 
8.2%
6 72
 
7.9%
2 59
 
6.5%
3 51
 
5.6%
5 49
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 206
22.5%
1 104
11.4%
4 96
10.5%
0 81
 
8.9%
7 81
 
8.9%
8 75
 
8.2%
6 72
 
7.9%
2 59
 
6.5%
3 51
 
5.6%
5 49
 
5.4%

물질명
Text

Distinct54
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-12T18:39:00.961945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length58
Mean length23.902913
Min length2

Characters and Unicode

Total characters2462
Distinct characters203
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)34.0%

Sample

1st row다이메틸(폴리실록산)(DIMETHYL(POLYSILOXANE))
2nd row폴리다이메틸실록산(Polydimethylsiloxane)
3rd row메틸 트리스(메틸 에틸케톡시미노) 실란(METHYL TRIS(METHYL ETHYLKETOXIMINO) SI...
4th row합성 무정형 실리카, 흄
5th rowN-[3-(트리메톡시실릴)프로필]-1,2-에탄디아민(N-[3-(TRIMETHOXYSILYL)PROPYL]-1...
ValueCountFrequency (%)
petroleum 12
 
3.4%
석유 11
 
3.2%
에테르 11
 
3.2%
나프타 10
 
2.9%
글리콜 9
 
2.6%
프로필렌 9
 
2.6%
중질 9
 
2.6%
모노메틸 9
 
2.6%
9
 
2.6%
크실렌 8
 
2.3%
Other values (125) 251
72.1%
2023-12-12T18:39:01.372635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
 
10.0%
( 92
 
3.7%
) 86
 
3.5%
T 68
 
2.8%
E 65
 
2.6%
, 62
 
2.5%
O 57
 
2.3%
L 54
 
2.2%
A 53
 
2.2%
틸 48
 
1.9%
Other values (193) 1632
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 999
40.6%
Uppercase Letter 648
26.3%
Space Separator 245
 
10.0%
Lowercase Letter 207
 
8.4%
Open Punctuation 94
 
3.8%
Close Punctuation 88
 
3.6%
Other Punctuation 88
 
3.6%
Decimal Number 52
 
2.1%
Dash Punctuation 41
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
틸 48
 
4.8%
리 31
 
3.1%
에 31
 
3.1%
이 30
 
3.0%
메 26
 
2.6%
화 26
 
2.6%
소 26
 
2.6%
산 25
 
2.5%
프 25
 
2.5%
로 24
 
2.4%
Other values (130) 707
70.8%
Uppercase Letter
ValueCountFrequency (%)
T 68
10.5%
E 65
10.0%
O 57
 
8.8%
L 54
 
8.3%
A 53
 
8.2%
I 46
 
7.1%
R 40
 
6.2%
H 39
 
6.0%
M 33
 
5.1%
N 32
 
4.9%
Other values (15) 161
24.8%
Lowercase Letter
ValueCountFrequency (%)
e 25
12.1%
a 19
 
9.2%
o 18
 
8.7%
r 16
 
7.7%
u 16
 
7.7%
h 15
 
7.2%
t 14
 
6.8%
l 14
 
6.8%
d 12
 
5.8%
y 10
 
4.8%
Other values (11) 48
23.2%
Decimal Number
ValueCountFrequency (%)
1 17
32.7%
3 12
23.1%
2 11
21.2%
4 9
17.3%
5 2
 
3.8%
6 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 62
70.5%
. 15
 
17.0%
: 4
 
4.5%
' 4
 
4.5%
; 3
 
3.4%
Open Punctuation
ValueCountFrequency (%)
( 92
97.9%
[ 2
 
2.1%
Close Punctuation
ValueCountFrequency (%)
) 86
97.7%
] 2
 
2.3%
Space Separator
ValueCountFrequency (%)
245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 999
40.6%
Latin 855
34.7%
Common 608
24.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
틸 48
 
4.8%
리 31
 
3.1%
에 31
 
3.1%
이 30
 
3.0%
메 26
 
2.6%
화 26
 
2.6%
소 26
 
2.6%
산 25
 
2.5%
프 25
 
2.5%
로 24
 
2.4%
Other values (130) 707
70.8%
Latin
ValueCountFrequency (%)
T 68
 
8.0%
E 65
 
7.6%
O 57
 
6.7%
L 54
 
6.3%
A 53
 
6.2%
I 46
 
5.4%
R 40
 
4.7%
H 39
 
4.6%
M 33
 
3.9%
N 32
 
3.7%
Other values (36) 368
43.0%
Common
ValueCountFrequency (%)
245
40.3%
( 92
 
15.1%
) 86
 
14.1%
, 62
 
10.2%
- 41
 
6.7%
1 17
 
2.8%
. 15
 
2.5%
3 12
 
2.0%
2 11
 
1.8%
4 9
 
1.5%
Other values (7) 18
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1463
59.4%
Hangul 999
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
 
16.7%
( 92
 
6.3%
) 86
 
5.9%
T 68
 
4.6%
E 65
 
4.4%
, 62
 
4.2%
O 57
 
3.9%
L 54
 
3.7%
A 53
 
3.6%
I 46
 
3.1%
Other values (53) 635
43.4%
Hangul
ValueCountFrequency (%)
틸 48
 
4.8%
리 31
 
3.1%
에 31
 
3.1%
이 30
 
3.0%
메 26
 
2.6%
화 26
 
2.6%
소 26
 
2.6%
산 25
 
2.5%
프 25
 
2.5%
로 24
 
2.4%
Other values (130) 707
70.8%

노출수준
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
53 
1
38 
3
6 
2
 
5
5
 
1

Length

Max length4
Median length4
Mean length2.5436893
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
51.5%
1 38
36.9%
3 6
 
5.8%
2 5
 
4.9%
5 1
 
1.0%

Length

2023-12-12T18:39:01.524740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:39:01.678843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
51.5%
1 38
36.9%
3 6
 
5.8%
2 5
 
4.9%
5 1
 
1.0%

유해성
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
53 
1
23 
4
18 
3
9 

Length

Max length4
Median length4
Mean length2.5436893
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
51.5%
1 23
22.3%
4 18
 
17.5%
3 9
 
8.7%

Length

2023-12-12T18:39:01.835996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:39:01.992641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
51.5%
1 23
22.3%
4 18
 
17.5%
3 9
 
8.7%

위험성
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8
Distinct (%)16.0%
Missing53
Missing (%)51.5%
Infinite0
Infinite (%)0.0%
Mean3.14
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T18:39:02.127924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile6
Maximum12
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1093572
Coefficient of variation (CV)0.67176981
Kurtosis5.9146277
Mean3.14
Median Absolute Deviation (MAD)1
Skewness1.8331113
Sum157
Variance4.4493878
MonotonicityNot monotonic
2023-12-12T18:39:02.266926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 17
 
16.5%
1 15
 
14.6%
3 10
 
9.7%
2 3
 
2.9%
6 2
 
1.9%
9 1
 
1.0%
5 1
 
1.0%
12 1
 
1.0%
(Missing) 53
51.5%
ValueCountFrequency (%)
1 15
14.6%
2 3
 
2.9%
3 10
9.7%
4 17
16.5%
5 1
 
1.0%
6 2
 
1.9%
9 1
 
1.0%
12 1
 
1.0%
ValueCountFrequency (%)
12 1
 
1.0%
9 1
 
1.0%
6 2
 
1.9%
5 1
 
1.0%
4 17
16.5%
3 10
9.7%
2 3
 
2.9%
1 15
14.6%

감소대책
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)4.0%
Missing53
Missing (%)51.5%
Memory size338.0 B
False
34 
True
16 
(Missing)
53 
ValueCountFrequency (%)
False 34
33.0%
True 16
 
15.5%
(Missing) 53
51.5%
2023-12-12T18:39:02.371614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

용도
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
정비용
56 
<NA>
42 
공정용, 분석용
 
3
분석용
 
1
공정용
 
1

Length

Max length8
Median length3
Mean length3.5533981
Min length3

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
정비용 56
54.4%
<NA> 42
40.8%
공정용, 분석용 3
 
2.9%
분석용 1
 
1.0%
공정용 1
 
1.0%

Length

2023-12-12T18:39:02.510312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:39:02.646998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정비용 56
52.8%
na 42
39.6%
공정용 4
 
3.8%
분석용 4
 
3.8%

개정일
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
42 
2021-03-01
10 
2020-07-09
8 
2019-04-10
7 
2020-08-05
6 
Other values (10)
30 

Length

Max length10
Median length10
Mean length7.5533981
Min length4

Unique

Unique4 ?
Unique (%)3.9%

Sample

1st row2021-01-14
2nd row2021-01-14
3rd row2021-01-14
4th row2021-01-14
5th row2021-01-14

Common Values

ValueCountFrequency (%)
<NA> 42
40.8%
2021-03-01 10
 
9.7%
2020-07-09 8
 
7.8%
2019-04-10 7
 
6.8%
2020-08-05 6
 
5.8%
2020-11-06 6
 
5.8%
2021-01-14 5
 
4.9%
2020-12-02 5
 
4.9%
2020-08-06 4
 
3.9%
2016-11-10 3
 
2.9%
Other values (5) 7
 
6.8%

Length

2023-12-12T18:39:02.832108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 42
40.8%
2021-03-01 10
 
9.7%
2020-07-09 8
 
7.8%
2019-04-10 7
 
6.8%
2020-08-05 6
 
5.8%
2020-11-06 6
 
5.8%
2021-01-14 5
 
4.9%
2020-12-02 5
 
4.9%
2020-08-06 4
 
3.9%
2016-11-10 3
 
2.9%
Other values (5) 7
 
6.8%

안전등급
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
제한
57 
<NA>
42 
일반
 
4

Length

Max length4
Median length2
Mean length2.815534
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한 57
55.3%
<NA> 42
40.8%
일반 4
 
3.9%

Length

2023-12-12T18:39:03.010595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:39:03.175621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한 57
55.3%
na 42
40.8%
일반 4
 
3.9%

안전보건관리 확인사항
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
46 
작업환경측정대상 유해인자, 관리대상유해물질, 특수건강진단대상 유해인자, 노출기준설정물질
35 
관리대상유해물질
9 
작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질
5 
노출기준설정물질
5 

Length

Max length58
Median length48
Mean length22.718447
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질
2nd row작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질
3rd row작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질
4th row작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질
5th row작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질

Common Values

ValueCountFrequency (%)
<NA> 46
44.7%
작업환경측정대상 유해인자, 관리대상유해물질, 특수건강진단대상 유해인자, 노출기준설정물질 35
34.0%
관리대상유해물질 9
 
8.7%
작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질 5
 
4.9%
노출기준설정물질 5
 
4.9%
작업환경측정대상 유해인자, 관리대상유해물질, 특수건강진단대상 유해인자, 허용기준설정물질, 노출기준설정물질 3
 
2.9%

Length

2023-12-12T18:39:03.658380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:39:03.806027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유해인자 86
27.2%
노출기준설정물질 48
15.2%
관리대상유해물질 47
14.9%
na 46
14.6%
작업환경측정대상 43
13.6%
특수건강진단대상 43
13.6%
허용기준설정물질 3
 
0.9%

Interactions

2023-12-12T18:38:58.705714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:39:03.951246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승인번호제품명CAS번호물질명노출수준유해성위험성감소대책용도개정일안전등급안전보건관리 확인사항
승인번호1.0001.0000.6920.7520.9110.2130.8691.0001.0001.0001.0001.000
제품명1.0001.0000.9250.9310.9110.2130.8691.0001.0001.0001.0001.000
CAS번호0.6920.9251.0001.0000.9721.0000.9580.9630.8730.8830.8730.984
물질명0.7520.9311.0001.0000.9701.0000.9530.9830.8730.8830.8730.984
노출수준0.9110.9110.9720.9701.0000.1080.8540.528NaN0.6470.7451.000
유해성0.2130.2131.0001.0000.1081.0000.8910.000NaN0.0000.0000.000
위험성0.8690.8690.9580.9530.8540.8911.0000.235NaN0.3460.6410.000
감소대책1.0001.0000.9630.9830.5280.0000.2351.000NaN1.0000.0000.727
용도1.0001.0000.8730.873NaNNaNNaNNaN1.0001.0000.8730.405
개정일1.0001.0000.8830.8830.6470.0000.3461.0001.0001.0001.0001.000
안전등급1.0001.0000.8730.8730.7450.0000.6410.0000.8731.0001.000NaN
안전보건관리 확인사항1.0001.0000.9840.9841.0000.0000.0000.7270.4051.000NaN1.000
2023-12-12T18:39:04.178738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노출수준감소대책유해성개정일승인번호제품명안전등급안전보건관리 확인사항용도
노출수준1.0000.3510.0940.4080.6890.6890.3850.8661.000
감소대책0.3511.0000.0000.7070.8660.8660.0000.4881.000
유해성0.0940.0001.0000.0000.0750.0750.0000.0001.000
개정일0.4080.7070.0001.0000.9570.9890.8930.9510.908
승인번호0.6890.8660.0750.9571.0000.9690.8540.9090.869
제품명0.6890.8660.0750.9890.9691.0000.8830.9410.898
안전등급0.3850.0000.0000.8930.8540.8831.0001.0000.664
안전보건관리 확인사항0.8660.4880.0000.9510.9090.9411.0001.0000.478
용도1.0001.0001.0000.9080.8690.8980.6640.4781.000
2023-12-12T18:39:04.364273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위험성승인번호제품명노출수준유해성감소대책용도개정일안전등급안전보건관리 확인사항
위험성1.0000.4700.4700.7550.8490.2331.0000.0000.2890.000
승인번호0.4701.0000.9690.6890.0750.8660.8690.9570.8540.909
제품명0.4700.9691.0000.6890.0750.8660.8980.9890.8830.941
노출수준0.7550.6890.6891.0000.0940.3511.0000.4080.3850.866
유해성0.8490.0750.0750.0941.0000.0001.0000.0000.0000.000
감소대책0.2330.8660.8660.3510.0001.0001.0000.7070.0000.488
용도1.0000.8690.8981.0001.0001.0001.0000.9080.6640.478
개정일0.0000.9570.9890.4080.0000.7070.9081.0000.8930.951
안전등급0.2890.8540.8830.3850.0000.0000.6640.8931.0001.000
안전보건관리 확인사항0.0000.9090.9410.8660.0000.4880.4780.9511.0001.000

Missing values

2023-12-12T18:38:58.870181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:38:59.125942image/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.
2023-12-12T18:38:59.319478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

승인번호사업소제품명CAS번호물질명노출수준유해성위험성감소대책용도개정일안전등급안전보건관리 확인사항
02021-0261당진화력실리콘,다우실792,투명색,DAWOOSIL70131-67-8다이메틸(폴리실록산)(DIMETHYL(POLYSILOXANE))<NA><NA><NA><NA>정비용2021-01-14제한작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질
12021-0261당진화력실리콘,다우실792,투명색,DAWOOSIL63148-62-9폴리다이메틸실록산(Polydimethylsiloxane)<NA><NA><NA><NA>정비용2021-01-14제한작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질
22021-0261당진화력실리콘,다우실792,투명색,DAWOOSIL22984-54-9메틸 트리스(메틸 에틸케톡시미노) 실란(METHYL TRIS(METHYL ETHYLKETOXIMINO) SI...<NA><NA><NA><NA>정비용2021-01-14제한작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질
32021-0261당진화력실리콘,다우실792,투명색,DAWOOSIL112945-52-5합성 무정형 실리카, 흄<NA><NA><NA><NA>정비용2021-01-14제한작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질
42021-0261당진화력실리콘,다우실792,투명색,DAWOOSIL1760-24-3N-[3-(트리메톡시실릴)프로필]-1,2-에탄디아민(N-[3-(TRIMETHOXYSILYL)PROPYL]-1...<NA><NA><NA><NA>정비용2021-01-14제한작업환경측정대상 유해인자, 특수건강진단대상 유해인자, 노출기준설정물질
52021-0260당진화력세척제,전기접점 세정제,CAN,전기접점,나바켐 DC-3000431-89-01,1,1,2,3,3,3-헵타플루오로프로판<NA><NA><NA><NA>정비용2020-12-02제한노출기준설정물질
62021-0257당진화력헬륨가스,HE,99.9999%,H2O&lt;0.5,O2&lt;0.1,N2&lt;0.5,T7440-59-7헬륨<NA><NA><NA><NA>분석용2021-01-02일반<NA>
72021-0256당진화력에폭시페인트,크레폭스 HB EH 6270,밝은노랑띤회색(5Y 7/1),171-36-3n-부틸알코올<NA><NA><NA><NA>정비용2016-11-10제한작업환경측정대상 유해인자, 관리대상유해물질, 특수건강진단대상 유해인자, 허용기준설정물질, 노출기준설정물질
82021-0256당진화력에폭시페인트,크레폭스 HB EH 6270,밝은노랑띤회색(5Y 7/1),1108-65-6프로필렌 글리콜 모노메틸 에테르 아세트산<NA><NA><NA><NA>정비용2016-11-10제한작업환경측정대상 유해인자, 관리대상유해물질, 특수건강진단대상 유해인자, 허용기준설정물질, 노출기준설정물질
92021-0256당진화력에폭시페인트,크레폭스 HB EH 6270,밝은노랑띤회색(5Y 7/1),1108-88-3톨루엔<NA><NA><NA><NA>정비용2016-11-10제한작업환경측정대상 유해인자, 관리대상유해물질, 특수건강진단대상 유해인자, 허용기준설정물질, 노출기준설정물질
승인번호사업소제품명CAS번호물질명노출수준유해성위험성감소대책용도개정일안전등급안전보건관리 확인사항
932021-0429당진화력징크신너,4ℓ/CAN108-65-6프로필렌 글리콜 모노메틸 에테르 아세트산133N<NA><NA><NA><NA>
942021-0429당진화력징크신너,4ℓ/CAN108-10-1메틸 이소부틸 케톤144N<NA><NA><NA><NA>
952021-0429당진화력징크신너,4ℓ/CAN123-86-4초산 부틸111N<NA><NA><NA><NA>
962021-0428당진화력페인트,실리우레탄페인트,SFMU-320C,백색,16ℓ/CAN,탱크도장,014808-60-7산화규소(결정체 석영)144N<NA><NA><NA><NA>
972021-0428당진화력페인트,실리우레탄페인트,SFMU-320C,백색,16ℓ/CAN,탱크도장,01330-20-7크실렌111N<NA><NA><NA><NA>
982021-0428당진화력페인트,실리우레탄페인트,SFMU-320C,백색,16ℓ/CAN,탱크도장,064742-95-6솔벤트 나프타 (석유), 경질 방향족화합물(SOLVENT NAPHTHA (PETROLEUM), LIGHT AROMATIC)144N<NA><NA><NA><NA>
992021-0428당진화력페인트,실리우레탄페인트,SFMU-320C,백색,16ℓ/CAN,탱크도장,0100-41-4에틸벤젠144N<NA><NA><NA><NA>
1002021-0428당진화력페인트,실리우레탄페인트,SFMU-320C,백색,16ℓ/CAN,탱크도장,0108-65-6프로필렌 글리콜 모노메틸 에테르 아세트산133N<NA><NA><NA><NA>
1012021-0428당진화력페인트,실리우레탄페인트,SFMU-320C,백색,16ℓ/CAN,탱크도장,068911-87-54차 암모늄 화합물, 비스(수소화된 수지 알킬) 다이메틸, 몬트모릴로니트와의 염(QUATERNARY AMMON...133N정비용2020-07-09제한작업환경측정대상 유해인자, 관리대상유해물질, 특수건강진단대상 유해인자, 노출기준설정물질
1022021-0428당진화력페인트,실리우레탄페인트,SFMU-320C,백색,16ℓ/CAN,탱크도장,064742-82-1수소탈황화된 중질 나프타 (석유)(Naphtha (petroleum), hydrodesulfurized heavy)144N<NA><NA><NA><NA>