Overview

Dataset statistics

Number of variables17
Number of observations100
Missing cells307
Missing cells (%)18.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory141.3 B

Variable types

Numeric3
Text6
Categorical8

Alerts

최고노출허용농도 단위 has constant value ""Constant
출처 has constant value ""Constant
발암성 is highly overall correlated with 시간가중평균농도 and 3 other fieldsHigh correlation
기타 is highly overall correlated with 시간가중평균농도 단위 and 2 other fieldsHigh correlation
생식독성 is highly overall correlated with 시간가중평균농도 and 3 other fieldsHigh correlation
생식세포 변이원성 is highly overall correlated with 작업자노출기준 연번 and 2 other fieldsHigh correlation
단시간노출허용농도 단위 is highly overall correlated with 시간가중평균농도 단위 and 1 other fieldsHigh correlation
작업자노출기준 연번 is highly overall correlated with 생식세포 변이원성High correlation
시간가중평균농도 is highly overall correlated with 단시간노출허용농도 and 2 other fieldsHigh correlation
단시간노출허용농도 is highly overall correlated with 시간가중평균농도High correlation
시간가중평균농도 단위 is highly overall correlated with 단시간노출허용농도 단위 and 2 other fieldsHigh correlation
단시간노출허용농도 단위 is highly imbalanced (53.0%)Imbalance
최고노출허용농도 is highly imbalanced (91.9%)Imbalance
생식독성 is highly imbalanced (72.1%)Imbalance
생식세포 변이원성 is highly imbalanced (78.9%)Imbalance
발암성 is highly imbalanced (50.2%)Imbalance
CAS등록번호 has 18 (18.0%) missing valuesMissing
분자식 has 9 (9.0%) missing valuesMissing
시간가중평균농도 has 7 (7.0%) missing valuesMissing
단시간노출허용농도 has 84 (84.0%) missing valuesMissing
최고노출허용농도 단위 has 99 (99.0%) missing valuesMissing
내부참조 has 90 (90.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 11:43:02.060549
Analysis finished2023-12-10 11:43:06.295567
Duration4.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

작업자노출기준 연번
Real number (ℝ)

HIGH CORRELATION 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.62
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:43:06.395978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q370.25
95-th percentile90.05
Maximum95
Range94
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation27.018056
Coefficient of variation (CV)0.5556984
Kurtosis-1.1390026
Mean48.62
Median Absolute Deviation (MAD)22.5
Skewness-0.06347994
Sum4862
Variance729.97535
MonotonicityIncreasing
2023-12-10T20:43:06.589445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 4
 
4.0%
55 3
 
3.0%
1 1
 
1.0%
62 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%
87 1
1.0%
86 1
1.0%

CAS등록번호
Text

MISSING 

Distinct79
Distinct (%)96.3%
Missing18
Missing (%)18.0%
Memory size932.0 B
2023-12-10T20:43:06.938345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8
Min length7

Characters and Unicode

Total characters656
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

Unique77 ?
Unique (%)93.9%

Sample

1st row8006-61-9
2nd row64-18-6
3rd row7782-65-2
4th row8002-74-2
5th row94-36-0
ValueCountFrequency (%)
7440-02-0 3
 
3.7%
7440-50-8 2
 
2.4%
298-04-4 1
 
1.2%
534-52-1 1
 
1.2%
1300-73-8 1
 
1.2%
121-69-7 1
 
1.2%
300-76-5 1
 
1.2%
62-75-9 1
 
1.2%
109-87-5 1
 
1.2%
57-14-7 1
 
1.2%
Other values (69) 69
84.1%
2023-12-10T20:43:07.436856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 164
25.0%
1 73
11.1%
2 59
 
9.0%
4 56
 
8.5%
0 55
 
8.4%
7 49
 
7.5%
3 48
 
7.3%
8 42
 
6.4%
5 41
 
6.2%
9 36
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 492
75.0%
Dash Punctuation 164
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 73
14.8%
2 59
12.0%
4 56
11.4%
0 55
11.2%
7 49
10.0%
3 48
9.8%
8 42
8.5%
5 41
8.3%
9 36
7.3%
6 33
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 164
25.0%
1 73
11.1%
2 59
 
9.0%
4 56
 
8.5%
0 55
 
8.4%
7 49
 
7.5%
3 48
 
7.3%
8 42
 
6.4%
5 41
 
6.2%
9 36
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 164
25.0%
1 73
11.1%
2 59
 
9.0%
4 56
 
8.5%
0 55
 
8.4%
7 49
 
7.5%
3 48
 
7.3%
8 42
 
6.4%
5 41
 
6.2%
9 36
 
5.5%

화학물질국문
Text

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:43:07.740291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length13
Mean length8.61
Min length2

Characters and Unicode

Total characters861
Distinct characters153
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)93.0%

Sample

1st row가솔린
2nd row개미산
3rd row게르마늄 테트라하이드라이드
4th row고형 파라핀 흄
5th row곡물분진
ValueCountFrequency (%)
이성체 5
 
3.6%
디니트로벤젠(모든 4
 
2.9%
노말-프로필 3
 
2.2%
니트로톨루엔(오쏘 3
 
2.2%
메타 3
 
2.2%
파라-이성체 3
 
2.2%
노말-부틸 2
 
1.4%
디부틸 2
 
1.4%
및 2
 
1.4%
노말-초산 2
 
1.4%
Other values (107) 109
79.0%
2023-12-10T20:43:08.364811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
 
5.3%
디 44
 
5.1%
38
 
4.4%
트 36
 
4.2%
로 36
 
4.2%
니 29
 
3.4%
틸 26
 
3.0%
아 22
 
2.6%
메 22
 
2.6%
이 21
 
2.4%
Other values (143) 541
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 704
81.8%
Dash Punctuation 46
 
5.3%
Space Separator 38
 
4.4%
Decimal Number 22
 
2.6%
Other Punctuation 15
 
1.7%
Open Punctuation 14
 
1.6%
Close Punctuation 14
 
1.6%
Uppercase Letter 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 44
 
6.2%
트 36
 
5.1%
로 36
 
5.1%
니 29
 
4.1%
틸 26
 
3.7%
아 22
 
3.1%
메 22
 
3.1%
이 21
 
3.0%
노 17
 
2.4%
말 12
 
1.7%
Other values (131) 439
62.4%
Decimal Number
ValueCountFrequency (%)
2 10
45.5%
1 6
27.3%
4 3
 
13.6%
3 1
 
4.5%
5 1
 
4.5%
6 1
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 704
81.8%
Common 149
 
17.3%
Latin 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 44
 
6.2%
트 36
 
5.1%
로 36
 
5.1%
니 29
 
4.1%
틸 26
 
3.7%
아 22
 
3.1%
메 22
 
3.1%
이 21
 
3.0%
노 17
 
2.4%
말 12
 
1.7%
Other values (131) 439
62.4%
Common
ValueCountFrequency (%)
- 46
30.9%
38
25.5%
, 15
 
10.1%
( 14
 
9.4%
) 14
 
9.4%
2 10
 
6.7%
1 6
 
4.0%
4 3
 
2.0%
3 1
 
0.7%
5 1
 
0.7%
Latin
ValueCountFrequency (%)
N 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 704
81.8%
ASCII 157
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
29.3%
38
24.2%
, 15
 
9.6%
( 14
 
8.9%
) 14
 
8.9%
2 10
 
6.4%
N 8
 
5.1%
1 6
 
3.8%
4 3
 
1.9%
3 1
 
0.6%
Other values (2) 2
 
1.3%
Hangul
ValueCountFrequency (%)
디 44
 
6.2%
트 36
 
5.1%
로 36
 
5.1%
니 29
 
4.1%
틸 26
 
3.7%
아 22
 
3.1%
메 22
 
3.1%
이 21
 
3.0%
노 17
 
2.4%
말 12
 
1.7%
Other values (131) 439
62.4%

화학물질영문
Text

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:43:08.841127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length30
Mean length19.13
Min length5

Characters and Unicode

Total characters1913
Distinct characters54
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)93.0%

Sample

1st rowGasoline
2nd rowFormic acid
3rd rowGermanium tetrahydride
4th rowParaffin wax fume
5th rowGrain dust
ValueCountFrequency (%)
as 5
 
2.7%
isomers 5
 
2.7%
n-butyl 5
 
2.7%
dinitrobenzene(all 4
 
2.2%
n-propyl 3
 
1.6%
acetate 3
 
1.6%
compounds 3
 
1.6%
ni 3
 
1.6%
nitrotoluene(o 3
 
1.6%
m 3
 
1.6%
Other values (133) 145
79.7%
2023-12-10T20:43:09.543041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 187
 
9.8%
i 154
 
8.1%
o 135
 
7.1%
l 129
 
6.7%
n 127
 
6.6%
a 122
 
6.4%
t 115
 
6.0%
r 94
 
4.9%
82
 
4.3%
m 65
 
3.4%
Other values (44) 703
36.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1544
80.7%
Uppercase Letter 141
 
7.4%
Space Separator 82
 
4.3%
Dash Punctuation 49
 
2.6%
Decimal Number 26
 
1.4%
Open Punctuation 24
 
1.3%
Close Punctuation 24
 
1.3%
Other Punctuation 23
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 187
12.1%
i 154
10.0%
o 135
 
8.7%
l 129
 
8.4%
n 127
 
8.2%
a 122
 
7.9%
t 115
 
7.4%
r 94
 
6.1%
m 65
 
4.2%
h 62
 
4.0%
Other values (15) 354
22.9%
Uppercase Letter
ValueCountFrequency (%)
D 45
31.9%
N 37
26.2%
G 10
 
7.1%
B 8
 
5.7%
P 7
 
5.0%
I 6
 
4.3%
M 5
 
3.5%
C 4
 
2.8%
F 4
 
2.8%
V 3
 
2.1%
Other values (7) 12
 
8.5%
Decimal Number
ValueCountFrequency (%)
2 11
42.3%
1 8
30.8%
4 4
 
15.4%
3 1
 
3.8%
5 1
 
3.8%
6 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 22
95.7%
& 1
 
4.3%
Space Separator
ValueCountFrequency (%)
82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1684
88.0%
Common 228
 
11.9%
Greek 1
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 187
 
11.1%
i 154
 
9.1%
o 135
 
8.0%
l 129
 
7.7%
n 127
 
7.5%
a 122
 
7.2%
t 115
 
6.8%
r 94
 
5.6%
m 65
 
3.9%
h 62
 
3.7%
Other values (31) 494
29.3%
Common
ValueCountFrequency (%)
82
36.0%
- 49
21.5%
( 24
 
10.5%
) 24
 
10.5%
, 22
 
9.6%
2 11
 
4.8%
1 8
 
3.5%
4 4
 
1.8%
3 1
 
0.4%
5 1
 
0.4%
Other values (2) 2
 
0.9%
Greek
ValueCountFrequency (%)
β 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1912
99.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 187
 
9.8%
i 154
 
8.1%
o 135
 
7.1%
l 129
 
6.7%
n 127
 
6.6%
a 122
 
6.4%
t 115
 
6.0%
r 94
 
4.9%
82
 
4.3%
m 65
 
3.4%
Other values (43) 702
36.7%
None
ValueCountFrequency (%)
β 1
100.0%

분자식
Text

MISSING 

Distinct81
Distinct (%)89.0%
Missing9
Missing (%)9.0%
Memory size932.0 B
2023-12-10T20:43:10.060552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length9.7802198
Min length2

Characters and Unicode

Total characters890
Distinct characters32
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)82.4%

Sample

1st rowHCOOH
2nd rowGeH4
3rd row(C6H5CO)2O2
4th rowH2O2
5th rowCu
ValueCountFrequency (%)
c6h4(no2)2 4
 
4.4%
ch3c6h4no2 3
 
3.3%
ni 3
 
3.3%
cu 2
 
2.2%
c4h7br2cl2o4p 2
 
2.2%
ch3)2nno 2
 
2.2%
c12h21n2o3ps 1
 
1.1%
ch2n2 1
 
1.1%
c6h4n(ch3)2 1
 
1.1%
c6h4(ch3)2 1
 
1.1%
Other values (71) 71
78.0%
2023-12-10T20:43:10.746707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
H 168
18.9%
C 161
18.1%
2 118
13.3%
O 86
9.7%
3 60
 
6.7%
N 53
 
6.0%
( 34
 
3.8%
) 34
 
3.8%
4 32
 
3.6%
6 30
 
3.4%
Other values (22) 114
12.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 491
55.2%
Decimal Number 306
34.4%
Open Punctuation 35
 
3.9%
Close Punctuation 35
 
3.9%
Lowercase Letter 22
 
2.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H 168
34.2%
C 161
32.8%
O 86
17.5%
N 53
 
10.8%
S 7
 
1.4%
P 7
 
1.4%
B 6
 
1.2%
A 1
 
0.2%
G 1
 
0.2%
F 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 118
38.6%
3 60
19.6%
4 32
 
10.5%
6 30
 
9.8%
1 25
 
8.2%
0 12
 
3.9%
5 12
 
3.9%
9 7
 
2.3%
7 6
 
2.0%
8 4
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
l 6
27.3%
i 6
27.3%
r 4
18.2%
e 2
 
9.1%
u 2
 
9.1%
a 1
 
4.5%
b 1
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 34
97.1%
[ 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 34
97.1%
] 1
 
2.9%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 513
57.6%
Common 377
42.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
H 168
32.7%
C 161
31.4%
O 86
16.8%
N 53
 
10.3%
S 7
 
1.4%
P 7
 
1.4%
l 6
 
1.2%
B 6
 
1.2%
i 6
 
1.2%
r 4
 
0.8%
Other values (7) 9
 
1.8%
Common
ValueCountFrequency (%)
2 118
31.3%
3 60
15.9%
( 34
 
9.0%
) 34
 
9.0%
4 32
 
8.5%
6 30
 
8.0%
1 25
 
6.6%
0 12
 
3.2%
5 12
 
3.2%
9 7
 
1.9%
Other values (5) 13
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 890
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
H 168
18.9%
C 161
18.1%
2 118
13.3%
O 86
9.7%
3 60
 
6.7%
N 53
 
6.0%
( 34
 
3.8%
) 34
 
3.8%
4 32
 
3.6%
6 30
 
3.4%
Other values (22) 114
12.8%

시간가중평균농도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)24.7%
Missing7
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean30.188559
Minimum0.001
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:43:11.008673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.034
Q10.2
median3
Q310
95-th percentile170
Maximum1000
Range999.999
Interquartile range (IQR)9.8

Descriptive statistics

Standard deviation113.35825
Coefficient of variation (CV)3.755007
Kurtosis59.623207
Mean30.188559
Median Absolute Deviation (MAD)2.9
Skewness7.2242776
Sum2807.536
Variance12850.093
MonotonicityNot monotonic
2023-12-10T20:43:11.241347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10.0 14
14.0%
5.0 12
12.0%
2.0 10
10.0%
0.2 6
 
6.0%
0.1 6
 
6.0%
0.05 6
 
6.0%
50.0 4
 
4.0%
0.5 4
 
4.0%
1.0 4
 
4.0%
0.15 4
 
4.0%
Other values (13) 23
23.0%
(Missing) 7
 
7.0%
ValueCountFrequency (%)
0.001 1
 
1.0%
0.005 1
 
1.0%
0.01 3
3.0%
0.05 6
6.0%
0.1 6
6.0%
0.15 4
4.0%
0.2 6
6.0%
0.5 4
4.0%
0.8 1
 
1.0%
1.0 4
4.0%
ValueCountFrequency (%)
1000.0 1
 
1.0%
300.0 1
 
1.0%
200.0 3
 
3.0%
150.0 1
 
1.0%
100.0 2
 
2.0%
50.0 4
 
4.0%
25.0 3
 
3.0%
20.0 2
 
2.0%
10.0 14
14.0%
5.0 12
12.0%

시간가중평균농도 단위
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
ppm
58 
㎎/㎥
34 
<NA>
7 
개/㎤
 
1

Length

Max length4
Median length3
Mean length3.07
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowppm
2nd rowppm
3rd rowppm
4th row㎎/㎥
5th row㎎/㎥

Common Values

ValueCountFrequency (%)
ppm 58
58.0%
㎎/㎥ 34
34.0%
<NA> 7
 
7.0%
개/㎤ 1
 
1.0%

Length

2023-12-10T20:43:11.488288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:43:11.702421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ppm 58
58.0%
㎎/㎥ 34
34.0%
na 7
 
7.0%
개/㎤ 1
 
1.0%

단시간노출허용농도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct12
Distinct (%)75.0%
Missing84
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean98.278125
Minimum0.15
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:43:11.902853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.15
5-th percentile0.2625
Q110
median17.5
Q3162.5
95-th percentile312.5
Maximum500
Range499.85
Interquartile range (IQR)152.5

Descriptive statistics

Standard deviation140.40814
Coefficient of variation (CV)1.4286815
Kurtosis3.4218887
Mean98.278125
Median Absolute Deviation (MAD)17.275
Skewness1.8257645
Sum1572.45
Variance19714.445
MonotonicityNot monotonic
2023-12-10T20:43:12.191461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10.0 3
 
3.0%
15.0 2
 
2.0%
250.0 2
 
2.0%
500.0 1
 
1.0%
2.0 1
 
1.0%
200.0 1
 
1.0%
100.0 1
 
1.0%
40.0 1
 
1.0%
20.0 1
 
1.0%
0.3 1
 
1.0%
Other values (2) 2
 
2.0%
(Missing) 84
84.0%
ValueCountFrequency (%)
0.15 1
 
1.0%
0.3 1
 
1.0%
2.0 1
 
1.0%
10.0 3
3.0%
15.0 2
2.0%
20.0 1
 
1.0%
40.0 1
 
1.0%
100.0 1
 
1.0%
150.0 1
 
1.0%
200.0 1
 
1.0%
ValueCountFrequency (%)
500.0 1
 
1.0%
250.0 2
2.0%
200.0 1
 
1.0%
150.0 1
 
1.0%
100.0 1
 
1.0%
40.0 1
 
1.0%
20.0 1
 
1.0%
15.0 2
2.0%
10.0 3
3.0%
2.0 1
 
1.0%

단시간노출허용농도 단위
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
84 
ppm
13 
㎎/㎥
 
3

Length

Max length4
Median length4
Mean length3.84
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 84
84.0%
ppm 13
 
13.0%
㎎/㎥ 3
 
3.0%

Length

2023-12-10T20:43:12.457270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:43:12.651229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
84.0%
ppm 13
 
13.0%
㎎/㎥ 3
 
3.0%

최고노출허용농도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
99 
0.05
 
1

Length

Max length4
Median length4
Mean length4
Min length4

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> 99
99.0%
0.05 1
 
1.0%

Length

2023-12-10T20:43:12.856441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:43:13.013311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 99
99.0%
0.05 1
 
1.0%

최고노출허용농도 단위
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size932.0 B
2023-12-10T20:43:13.132628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowppm
ValueCountFrequency (%)
ppm 1
100.0%
2023-12-10T20:43:13.505094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
p 2
66.7%
m 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 2
66.7%
m 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 3
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 2
66.7%
m 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p 2
66.7%
m 1
33.3%

생식독성
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
91 
생식독성1B
 
5
생식독성2
 
3
생식독성1A
 
1

Length

Max length6
Median length4
Mean length4.15
Min length4

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> 91
91.0%
생식독성1B 5
 
5.0%
생식독성2 3
 
3.0%
생식독성1A 1
 
1.0%

Length

2023-12-10T20:43:13.731056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:43:13.909187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
91.0%
생식독성1b 5
 
5.0%
생식독성2 3
 
3.0%
생식독성1a 1
 
1.0%

생식세포 변이원성
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
생식세포 변이원성2
 
3
생식세포 변이원성1B
 
2

Length

Max length11
Median length4
Mean length4.32
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생식세포 변이원성1B
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
생식세포 변이원성2 3
 
3.0%
생식세포 변이원성1B 2
 
2.0%

Length

2023-12-10T20:43:14.121457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:43:14.289428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
90.5%
생식세포 5
 
4.8%
변이원성2 3
 
2.9%
변이원성1b 2
 
1.9%

발암성
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
70 
발암성2
12 
발암성1B
11 
발암성1A
 
3
발암성1B (가솔린 증기의 직업적 노출에 한정함),
 
1
Other values (3)
 
3

Length

Max length66
Median length4
Mean length5.79
Min length4

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row발암성1B (가솔린 증기의 직업적 노출에 한정함),
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 70
70.0%
발암성2 12
 
12.0%
발암성1B 11
 
11.0%
발암성1A 3
 
3.0%
발암성1B (가솔린 증기의 직업적 노출에 한정함), 1
 
1.0%
발암성2 (알칼리 산화물 및 알칼리토금속 산화물의 중량비가 18% 이상인 불특정 모양의 인공 유리규산 섬유에 한정함) 1
 
1.0%
발암성1B (납(금속)의 경우 발암성2) 1
 
1.0%
발암성1B (알칼리 산화물 및 알칼리토금속 산화물의 중량비가 18% 이하인 불특정 모양의 인공 유리규산 섬유에 한정함) 1
 
1.0%

Length

2023-12-10T20:43:14.490077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:43:14.699668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
51.5%
발암성1b 14
 
10.3%
발암성2 14
 
10.3%
발암성1a 3
 
2.2%
한정함 3
 
2.2%
산화물의 2
 
1.5%
섬유에 2
 
1.5%
유리규산 2
 
1.5%
인공 2
 
1.5%
모양의 2
 
1.5%
Other values (15) 22
 
16.2%

기타
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
61 
Skin(점막과 눈 그리고 경피로 흡수되어 전신 영향을 일으킬 수 있는 물질)
32 
Skin(점막과 눈 그리고 경피로 흡수되어 전신 영향을 일으킬 수 있는 물질), 흡입성 및 증기
 
4
흡입성
 
2
호흡성
 
1

Length

Max length54
Median length4
Mean length18.45
Min length3

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> 61
61.0%
Skin(점막과 눈 그리고 경피로 흡수되어 전신 영향을 일으킬 수 있는 물질) 32
32.0%
Skin(점막과 눈 그리고 경피로 흡수되어 전신 영향을 일으킬 수 있는 물질), 흡입성 및 증기 4
 
4.0%
흡입성 2
 
2.0%
호흡성 1
 
1.0%

Length

2023-12-10T20:43:14.928941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:43:15.125065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
12.9%
skin(점막과 36
7.6%
눈 36
7.6%
그리고 36
7.6%
경피로 36
7.6%
흡수되어 36
7.6%
전신 36
7.6%
영향을 36
7.6%
일으킬 36
7.6%
수 36
7.6%
Other values (6) 87
18.4%

내부참조
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing90
Missing (%)90.0%
Memory size932.0 B
2023-12-10T20:43:15.355151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length15
Mean length15.4
Min length9

Characters and Unicode

Total characters154
Distinct characters54
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

Unique10 ?
Unique (%)100.0%

Sample

1st row2,3-에폭시-1-프로판올 참조
2nd row2-에톡시에탄올 참조
3rd row디메틸-1,2-디브로모-2,2-디클로로에틸 포스페이트 참조
4th row디메틸니트로소아민 참조
5th row초산 프로필 참조
ValueCountFrequency (%)
참조 10
40.0%
2,3-에폭시-1-프로판올 1
 
4.0%
2-에톡시에탄올 1
 
4.0%
디메틸-1,2-디브로모-2,2-디클로로에틸 1
 
4.0%
포스페이트 1
 
4.0%
디메틸니트로소아민 1
 
4.0%
초산 1
 
4.0%
프로필 1
 
4.0%
2-클로로-6-(트리클로로메틸 1
 
4.0%
피리딘 1
 
4.0%
Other values (6) 6
24.0%
2023-12-10T20:43:15.781432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
9.7%
로 12
 
7.8%
- 11
 
7.1%
조 10
 
6.5%
참 10
 
6.5%
2 6
 
3.9%
틸 6
 
3.9%
디 6
 
3.9%
트 5
 
3.2%
에 5
 
3.2%
Other values (44) 68
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
72.1%
Space Separator 15
 
9.7%
Dash Punctuation 11
 
7.1%
Decimal Number 10
 
6.5%
Other Punctuation 3
 
1.9%
Open Punctuation 2
 
1.3%
Close Punctuation 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 12
 
10.8%
조 10
 
9.0%
참 10
 
9.0%
틸 6
 
5.4%
디 6
 
5.4%
트 5
 
4.5%
에 5
 
4.5%
클 4
 
3.6%
이 4
 
3.6%
리 3
 
2.7%
Other values (35) 46
41.4%
Decimal Number
ValueCountFrequency (%)
2 6
60.0%
1 2
 
20.0%
6 1
 
10.0%
3 1
 
10.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
72.1%
Common 43
 
27.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 12
 
10.8%
조 10
 
9.0%
참 10
 
9.0%
틸 6
 
5.4%
디 6
 
5.4%
트 5
 
4.5%
에 5
 
4.5%
클 4
 
3.6%
이 4
 
3.6%
리 3
 
2.7%
Other values (35) 46
41.4%
Common
ValueCountFrequency (%)
15
34.9%
- 11
25.6%
2 6
 
14.0%
, 3
 
7.0%
( 2
 
4.7%
) 2
 
4.7%
1 2
 
4.7%
6 1
 
2.3%
3 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
72.1%
ASCII 43
 
27.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
34.9%
- 11
25.6%
2 6
 
14.0%
, 3
 
7.0%
( 2
 
4.7%
) 2
 
4.7%
1 2
 
4.7%
6 1
 
2.3%
3 1
 
2.3%
Hangul
ValueCountFrequency (%)
로 12
 
10.8%
조 10
 
9.0%
참 10
 
9.0%
틸 6
 
5.4%
디 6
 
5.4%
트 5
 
4.5%
에 5
 
4.5%
클 4
 
3.6%
이 4
 
3.6%
리 3
 
2.7%
Other values (35) 46
41.4%

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
고용노동부고시 제2018-62 별표1
100 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고용노동부고시 제2018-62 별표1
2nd row고용노동부고시 제2018-62 별표1
3rd row고용노동부고시 제2018-62 별표1
4th row고용노동부고시 제2018-62 별표1
5th row고용노동부고시 제2018-62 별표1

Common Values

ValueCountFrequency (%)
고용노동부고시 제2018-62 별표1 100
100.0%

Length

2023-12-10T20:43:15.991046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:43:16.146916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고용노동부고시 100
33.3%
제2018-62 100
33.3%
별표1 100
33.3%

Interactions

2023-12-10T20:43:04.828633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:43:03.986618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:43:04.421235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:43:04.999946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:43:04.116854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:43:04.552424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:43:05.135090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:43:04.261756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:43:04.684587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:43:16.594114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작업자노출기준 연번CAS등록번호화학물질국문화학물질영문분자식시간가중평균농도시간가중평균농도 단위단시간노출허용농도단시간노출허용농도 단위생식독성생식세포 변이원성발암성기타내부참조
작업자노출기준 연번1.0000.9701.0001.0000.9760.1570.4080.0000.3950.5811.0000.5880.5881.000
CAS등록번호0.9701.0000.9730.9731.0001.0001.0001.0001.0001.0001.0000.8391.000NaN
화학물질국문1.0000.9731.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
화학물질영문1.0000.9731.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
분자식0.9761.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.6541.0001.000
시간가중평균농도0.1571.0001.0001.0001.0001.0000.0001.0000.000NaN0.0001.0000.0001.000
시간가중평균농도 단위0.4081.0001.0001.0001.0000.0001.0000.0000.9400.1450.0000.7630.7441.000
단시간노출허용농도0.0001.0001.0001.0001.0001.0000.0001.0000.000NaNNaN0.0000.0001.000
단시간노출허용농도 단위0.3951.0001.0001.0001.0000.0000.9400.0001.000NaNNaNNaN0.0001.000
생식독성0.5811.0001.0001.0001.000NaN0.145NaNNaN1.000NaN1.000NaNNaN
생식세포 변이원성1.0001.0001.0001.0001.0000.0000.000NaNNaNNaN1.0000.000NaNNaN
발암성0.5880.8391.0001.0000.6541.0000.7630.000NaN1.0000.0001.0000.832NaN
기타0.5881.0001.0001.0001.0000.0000.7440.0000.000NaNNaN0.8321.000NaN
내부참조1.000NaN1.0001.0001.0001.0001.0001.0001.000NaNNaNNaNNaN1.000
2023-12-10T20:43:16.825014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최고노출허용농도시간가중평균농도 단위발암성기타생식독성생식세포 변이원성단시간노출허용농도 단위
최고노출허용농도1.000NaNNaNNaNNaNNaNNaN
시간가중평균농도 단위NaN1.0000.6310.7790.1380.0000.778
발암성NaN0.6311.0000.4690.8160.0001.000
기타NaN0.7790.4691.0001.0001.0000.000
생식독성NaN0.1380.8161.0001.0001.000NaN
생식세포 변이원성NaN0.0000.0001.0001.0001.000NaN
단시간노출허용농도 단위NaN0.7781.0000.000NaNNaN1.000
2023-12-10T20:43:17.027666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작업자노출기준 연번시간가중평균농도단시간노출허용농도시간가중평균농도 단위단시간노출허용농도 단위최고노출허용농도생식독성생식세포 변이원성발암성기타
작업자노출기준 연번1.000-0.112-0.3000.2570.148NaN0.3651.0000.3060.351
시간가중평균농도-0.1121.0000.9900.0000.0000.0001.0000.0000.8900.000
단시간노출허용농도-0.3000.9901.0000.0000.0000.0000.000NaN0.0000.000
시간가중평균농도 단위0.2570.0000.0001.0000.7780.0000.1380.0000.6310.779
단시간노출허용농도 단위0.1480.0000.0000.7781.0000.0000.000NaN1.0000.000
최고노출허용농도NaN0.0000.0000.0000.0001.0000.0000.0000.0000.000
생식독성0.3651.0000.0000.1380.0000.0001.0001.0000.8161.000
생식세포 변이원성1.0000.000NaN0.000NaN0.0001.0001.0000.0001.000
발암성0.3060.8900.0000.6311.0000.0000.8160.0001.0000.469
기타0.3510.0000.0000.7790.0000.0001.0001.0000.4691.000

Missing values

2023-12-10T20:43:05.352416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:43:05.744559image/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.
2023-12-10T20:43:06.072545image/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

작업자노출기준 연번CAS등록번호화학물질국문화학물질영문분자식시간가중평균농도시간가중평균농도 단위단시간노출허용농도단시간노출허용농도 단위최고노출허용농도최고노출허용농도 단위생식독성생식세포 변이원성발암성기타내부참조출처
018006-61-9가솔린Gasoline<NA>300.0ppm500.0ppm<NA><NA><NA>생식세포 변이원성1B발암성1B (가솔린 증기의 직업적 노출에 한정함),<NA><NA>고용노동부고시 제2018-62 별표1
1264-18-6개미산Formic acidHCOOH5.0ppm<NA><NA><NA><NA><NA><NA><NA><NA><NA>고용노동부고시 제2018-62 별표1
237782-65-2게르마늄 테트라하이드라이드Germanium tetrahydrideGeH40.2ppm<NA><NA><NA><NA><NA><NA><NA><NA><NA>고용노동부고시 제2018-62 별표1
348002-74-2고형 파라핀 흄Paraffin wax fume<NA>2.0㎎/㎥<NA><NA><NA><NA><NA><NA><NA><NA><NA>고용노동부고시 제2018-62 별표1
45<NA>곡물분진Grain dust<NA>4.0㎎/㎥<NA><NA><NA><NA><NA><NA><NA><NA><NA>고용노동부고시 제2018-62 별표1
56<NA>곡분분진Flour dust(Inhalable fraction)<NA>0.5㎎/㎥<NA><NA><NA><NA><NA><NA><NA>흡입성<NA>고용노동부고시 제2018-62 별표1
6794-36-0과산화벤조일Benzoyl peroxide(C6H5CO)2O25.0㎎/㎥<NA><NA><NA><NA><NA><NA><NA><NA><NA>고용노동부고시 제2018-62 별표1
787722-84-1과산화수소Hydrogen peroxideH2O21.0ppm<NA><NA><NA><NA><NA><NA>발암성2<NA><NA>고용노동부고시 제2018-62 별표1
89<NA>광물털 섬유Mineral wool fiber<NA>10.0㎎/㎥<NA><NA><NA><NA><NA><NA>발암성2 (알칼리 산화물 및 알칼리토금속 산화물의 중량비가 18% 이상인 불특정 모양의 인공 유리규산 섬유에 한정함)<NA><NA>고용노동부고시 제2018-62 별표1
9107440-50-8구리(분진 및 미스트)Copper(Dust & mist, as Cu)Cu1.0㎎/㎥2.0㎎/㎥<NA><NA><NA><NA><NA><NA><NA>고용노동부고시 제2018-62 별표1
작업자노출기준 연번CAS등록번호화학물질국문화학물질영문분자식시간가중평균농도시간가중평균농도 단위단시간노출허용농도단시간노출허용농도 단위최고노출허용농도최고노출허용농도 단위생식독성생식세포 변이원성발암성기타내부참조출처
908697-77-8디설피람DisulfiramC10H20N2S42.0㎎/㎥<NA><NA><NA><NA><NA><NA><NA><NA><NA>고용노동부고시 제2018-62 별표1
9187298-04-4디설포톤DisulfotonC8H19O2PS30.05㎎/㎥<NA><NA><NA><NA><NA><NA><NA>Skin(점막과 눈 그리고 경피로 흡수되어 전신 영향을 일으킬 수 있는 물질), 흡입성 및 증기<NA>고용노동부고시 제2018-62 별표1
9288102-54-5디시클로펜타디에닐 철Dicyclopentadienyl ironC10H10Fe10.0㎎/㎥<NA><NA><NA><NA><NA><NA><NA><NA><NA>고용노동부고시 제2018-62 별표1
938977-73-6디시클로펜타디엔DicyclopentadieneC10H125.0ppm<NA><NA><NA><NA><NA><NA><NA><NA><NA>고용노동부고시 제2018-62 별표1
9490119-90-4디아니시딘DianisidineC14H16N2O20.01㎎/㎥<NA><NA><NA><NA><NA><NA>발암성1B<NA><NA>고용노동부고시 제2018-62 별표1
9591107-15-31,2-디아미노에탄1,2-DiaminoethaneH2NCH2CH2NH210.0ppm<NA><NA><NA><NA><NA><NA><NA>Skin(점막과 눈 그리고 경피로 흡수되어 전신 영향을 일으킬 수 있는 물질)<NA>고용노동부고시 제2018-62 별표1
9692123-42-2디아세톤 알콜Diaceton alcoholC6H12O250.0ppm<NA><NA><NA><NA><NA><NA><NA><NA><NA>고용노동부고시 제2018-62 별표1
9793334-88-3디아조메탄DiazomethaneCH2N20.2ppm<NA><NA><NA><NA><NA><NA>발암성1B<NA><NA>고용노동부고시 제2018-62 별표1
9894333-41-5디아지논Diazinon(Inhalable fraction and vapor)C12H21N2O3PS0.01㎎/㎥<NA><NA><NA><NA><NA><NA>발암성1BSkin(점막과 눈 그리고 경피로 흡수되어 전신 영향을 일으킬 수 있는 물질), 흡입성 및 증기<NA>고용노동부고시 제2018-62 별표1
9995111-42-2디에탄올아민Diethanolamine(HOCH2CH2)2NH2.0㎎/㎥<NA><NA><NA><NA><NA><NA>발암성2Skin(점막과 눈 그리고 경피로 흡수되어 전신 영향을 일으킬 수 있는 물질)<NA>고용노동부고시 제2018-62 별표1