Overview

Dataset statistics

Number of variables4
Number of observations7578
Missing cells3033
Missing cells (%)10.0%
Duplicate rows34
Duplicate rows (%)0.4%
Total size in memory244.3 KiB
Average record size in memory33.0 B

Variable types

Numeric1
Text3

Dataset

Description'환경표지 인증 기준' 중 유해물질 상세기준(유해물질 확장 구분, 항목명, 코드명, 물질명, 참조명)에 대한 정보를 제공
Author한국환경산업기술원
URLhttps://www.data.go.kr/data/15071378/fileData.do

Alerts

Dataset has 34 (0.4%) duplicate rowsDuplicates
유해물질확장항목 has 719 (9.5%) missing valuesMissing
유해물질확장 참조명 has 2296 (30.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 07:05:41.095024
Analysis finished2023-12-12 07:05:41.961248
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유해물질확장구분
Real number (ℝ)

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2257852
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.7 KiB
2023-12-12T16:05:42.011305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q310
95-th percentile14
Maximum15
Range14
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.8497646
Coefficient of variation (CV)1.14766
Kurtosis-0.58936491
Mean4.2257852
Median Absolute Deviation (MAD)0
Skewness1.0762272
Sum32023
Variance23.520217
MonotonicityNot monotonic
2023-12-12T16:05:42.171150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 4264
56.3%
2 1079
 
14.2%
10 987
 
13.0%
14 638
 
8.4%
13 168
 
2.2%
9 99
 
1.3%
12 97
 
1.3%
15 84
 
1.1%
11 73
 
1.0%
4 28
 
0.4%
Other values (5) 61
 
0.8%
ValueCountFrequency (%)
1 4264
56.3%
2 1079
 
14.2%
3 12
 
0.2%
4 28
 
0.4%
5 4
 
0.1%
6 12
 
0.2%
7 7
 
0.1%
8 26
 
0.3%
9 99
 
1.3%
10 987
 
13.0%
ValueCountFrequency (%)
15 84
 
1.1%
14 638
8.4%
13 168
 
2.2%
12 97
 
1.3%
11 73
 
1.0%
10 987
13.0%
9 99
 
1.3%
8 26
 
0.3%
7 7
 
0.1%
6 12
 
0.2%

유해물질확장항목
Text

MISSING 

Distinct5053
Distinct (%)73.7%
Missing719
Missing (%)9.5%
Memory size59.3 KiB
2023-12-12T16:05:42.524267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length453
Median length241
Mean length9.9867328
Min length1

Characters and Unicode

Total characters68499
Distinct characters22
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4077 ?
Unique (%)59.4%

Sample

1st row-
2nd row1313-13-9
3rd row7722-64-7
4th row7785-87-7
5th row116633-53-5
ValueCountFrequency (%)
208
 
2.8%
2 74
 
1.0%
3 48
 
0.6%
4 25
 
0.3%
56-38-2 7
 
0.1%
1976-06-02 7
 
0.1%
5 7
 
0.1%
76-44-8 6
 
0.1%
87-86-5 6
 
0.1%
510-15-6 6
 
0.1%
Other values (5373) 7001
94.7%
2023-12-12T16:05:43.020517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 14420
21.1%
1 7563
11.0%
0 5327
 
7.8%
2 5323
 
7.8%
6 5134
 
7.5%
7 5013
 
7.3%
3 4906
 
7.2%
5 4897
 
7.1%
4 4827
 
7.0%
9 4756
 
6.9%
Other values (12) 6333
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52480
76.6%
Dash Punctuation 14420
 
21.1%
Space Separator 536
 
0.8%
Close Punctuation 519
 
0.8%
Open Punctuation 518
 
0.8%
Other Punctuation 16
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7563
14.4%
0 5327
10.2%
2 5323
10.1%
6 5134
9.8%
7 5013
9.6%
3 4906
9.3%
5 4897
9.3%
4 4827
9.2%
9 4756
9.1%
8 4734
9.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
B 1
25.0%
C 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
m 2
33.3%
p 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 14
87.5%
, 2
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 14420
100.0%
Space Separator
ValueCountFrequency (%)
536
100.0%
Close Punctuation
ValueCountFrequency (%)
] 519
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 518
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68489
> 99.9%
Latin 10
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 14420
21.1%
1 7563
11.0%
0 5327
 
7.8%
2 5323
 
7.8%
6 5134
 
7.5%
7 5013
 
7.3%
3 4906
 
7.2%
5 4897
 
7.2%
4 4827
 
7.0%
9 4756
 
6.9%
Other values (6) 6323
9.2%
Latin
ValueCountFrequency (%)
T 2
20.0%
e 2
20.0%
m 2
20.0%
p 2
20.0%
B 1
10.0%
C 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68499
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 14420
21.1%
1 7563
11.0%
0 5327
 
7.8%
2 5323
 
7.8%
6 5134
 
7.5%
7 5013
 
7.3%
3 4906
 
7.2%
5 4897
 
7.1%
4 4827
 
7.0%
9 4756
 
6.9%
Other values (12) 6333
9.2%

유해물질확장 물질명
Text

Distinct7481
Distinct (%)99.0%
Missing18
Missing (%)0.2%
Memory size59.3 KiB
2023-12-12T16:05:43.390674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length516
Mean length87.949603
Min length3

Characters and Unicode

Total characters664899
Distinct characters433
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7407 ?
Unique (%)98.0%

Sample

1st rowtrisodium bis[(3'-nitro-5'-sulfonato(6-amino-2-[4-(2-hydroxy-1-naphtylazo)phenylsulfonylamino]pyrimidin-5-azo)benzene-2',4-diolato)]chromate (III)
2nd rowpotassium tetrasodium bis[(N,N'-n)-1'-(phenylcarbamoyl)-3,5-disulfonatobenzeneazo-1'-prop-1'-ene-2,2'-diolato]chromate(III)
3rd rowmanganese dioxide
4th rowpotassium permanganate
5th rowmanganese sulphate
ValueCountFrequency (%)
of 3068
 
4.9%
the 1380
 
2.2%
혼합물 1149
 
1.8%
함유한 1144
 
1.8%
및 1131
 
1.8%
a 1087
 
1.7%
이를 1075
 
1.7%
hydrocarbons 1073
 
1.7%
이상 1047
 
1.7%
and 1009
 
1.6%
Other values (12419) 49379
79.0%
2023-12-12T16:05:43.933788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55508
 
8.3%
o 43768
 
6.6%
e 41715
 
6.3%
i 34971
 
5.3%
a 33846
 
5.1%
n 33211
 
5.0%
t 32866
 
4.9%
- 30740
 
4.6%
l 28574
 
4.3%
r 26903
 
4.0%
Other values (423) 302797
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 444510
66.9%
Space Separator 55509
 
8.3%
Decimal Number 41905
 
6.3%
Other Letter 33257
 
5.0%
Dash Punctuation 30740
 
4.6%
Other Punctuation 19318
 
2.9%
Uppercase Letter 14578
 
2.2%
Open Punctuation 12381
 
1.9%
Close Punctuation 12381
 
1.9%
Math Symbol 221
 
< 0.1%
Other values (6) 99
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2739
 
8.2%
물 1280
 
3.8%
합 1239
 
3.7%
한 1185
 
3.6%
유 1181
 
3.6%
혼 1174
 
3.5%
함 1163
 
3.5%
상 1149
 
3.5%
및 1144
 
3.4%
를 1143
 
3.4%
Other values (307) 19860
59.7%
Lowercase Letter
ValueCountFrequency (%)
o 43768
 
9.8%
e 41715
 
9.4%
i 34971
 
7.9%
a 33846
 
7.6%
n 33211
 
7.5%
t 32866
 
7.4%
l 28574
 
6.4%
r 26903
 
6.1%
h 22823
 
5.1%
y 20622
 
4.6%
Other values (26) 125211
28.2%
Uppercase Letter
ValueCountFrequency (%)
C 2281
15.6%
N 1722
11.8%
I 1465
10.0%
S 1275
8.7%
O 1186
8.1%
A 992
 
6.8%
H 787
 
5.4%
D 694
 
4.8%
T 655
 
4.5%
P 594
 
4.1%
Other values (16) 2927
20.1%
Other Punctuation
ValueCountFrequency (%)
, 9783
50.6%
; 4133
21.4%
. 2370
 
12.3%
% 1278
 
6.6%
' 1068
 
5.5%
: 560
 
2.9%
/ 74
 
0.4%
* 24
 
0.1%
′ 13
 
0.1%
… 9
 
< 0.1%
Other values (2) 6
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 8817
21.0%
1 8236
19.7%
4 5559
13.3%
3 5333
12.7%
5 4096
9.8%
6 2727
 
6.5%
0 2603
 
6.2%
7 1792
 
4.3%
8 1439
 
3.4%
9 1303
 
3.1%
Math Symbol
ValueCountFrequency (%)
= 68
30.8%
+ 45
20.4%
~ 40
18.1%
< 30
13.6%
≥ 18
 
8.1%
> 9
 
4.1%
≤ 5
 
2.3%
± 3
 
1.4%
∼ 2
 
0.9%
～ 1
 
0.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
35.7%
Ⅲ 4
28.6%
Ⅴ 3
21.4%
Ⅳ 1
 
7.1%
Ⅵ 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 7472
60.4%
] 4718
38.1%
} 190
 
1.5%
〕 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 7498
60.6%
[ 4728
38.2%
{ 155
 
1.3%
Space Separator
ValueCountFrequency (%)
55508
> 99.9%
　 1
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
’ 22
95.7%
” 1
 
4.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
83.3%
“ 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 30740
100.0%
Other Symbol
ValueCountFrequency (%)
° 52
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 458722
69.0%
Common 172540
 
25.9%
Hangul 33257
 
5.0%
Greek 380
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2739
 
8.2%
물 1280
 
3.8%
합 1239
 
3.7%
한 1185
 
3.6%
유 1181
 
3.6%
혼 1174
 
3.5%
함 1163
 
3.5%
상 1149
 
3.5%
및 1144
 
3.4%
를 1143
 
3.4%
Other values (307) 19860
59.7%
Latin
ValueCountFrequency (%)
o 43768
 
9.5%
e 41715
 
9.1%
i 34971
 
7.6%
a 33846
 
7.4%
n 33211
 
7.2%
t 32866
 
7.2%
l 28574
 
6.2%
r 26903
 
5.9%
h 22823
 
5.0%
y 20622
 
4.5%
Other values (48) 139423
30.4%
Common
ValueCountFrequency (%)
55508
32.2%
- 30740
17.8%
, 9783
 
5.7%
2 8817
 
5.1%
1 8236
 
4.8%
( 7498
 
4.3%
) 7472
 
4.3%
4 5559
 
3.2%
3 5333
 
3.1%
[ 4728
 
2.7%
Other values (39) 28866
16.7%
Greek
ValueCountFrequency (%)
α 209
55.0%
β 53
 
13.9%
κ 41
 
10.8%
ω 33
 
8.7%
η 22
 
5.8%
μ 9
 
2.4%
λ 7
 
1.8%
γ 5
 
1.3%
ε 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 631109
94.9%
Hangul 33255
 
5.0%
None 443
 
0.1%
Punctuation 51
 
< 0.1%
Math Operators 25
 
< 0.1%
Number Forms 14
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55508
 
8.8%
o 43768
 
6.9%
e 41715
 
6.6%
i 34971
 
5.5%
a 33846
 
5.4%
n 33211
 
5.3%
t 32866
 
5.2%
- 30740
 
4.9%
l 28574
 
4.5%
r 26903
 
4.3%
Other values (75) 269007
42.6%
Hangul
ValueCountFrequency (%)
이 2739
 
8.2%
물 1280
 
3.8%
합 1239
 
3.7%
한 1185
 
3.6%
유 1181
 
3.6%
혼 1174
 
3.5%
함 1163
 
3.5%
상 1149
 
3.5%
및 1144
 
3.4%
를 1143
 
3.4%
Other values (306) 19858
59.7%
None
ValueCountFrequency (%)
α 209
47.2%
β 53
 
12.0%
° 52
 
11.7%
κ 41
 
9.3%
ω 33
 
7.4%
η 22
 
5.0%
μ 9
 
2.0%
λ 7
 
1.6%
γ 5
 
1.1%
± 3
 
0.7%
Other values (7) 9
 
2.0%
Punctuation
ValueCountFrequency (%)
’ 22
43.1%
′ 13
25.5%
… 9
17.6%
‘ 5
 
9.8%
“ 1
 
2.0%
” 1
 
2.0%
Math Operators
ValueCountFrequency (%)
≥ 18
72.0%
≤ 5
 
20.0%
∼ 2
 
8.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
35.7%
Ⅲ 4
28.6%
Ⅴ 3
21.4%
Ⅳ 1
 
7.1%
Ⅵ 1
 
7.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

유해물질확장 참조명
Text

MISSING 

Distinct1332
Distinct (%)25.2%
Missing2296
Missing (%)30.3%
Memory size59.3 KiB
2023-12-12T16:05:44.161773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length76
Mean length10.652972
Min length1

Characters and Unicode

Total characters56269
Distinct characters44
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique953 ?
Unique (%)18.0%

Sample

1st rowH317H412
2nd rowH318
3rd rowH332H302
4th rowH272H361dH302H400H410
5th rowH373 **H411
ValueCountFrequency (%)
3 501
 
8.3%
2b 314
 
5.2%
h350 290
 
4.8%
h400h410 212
 
3.5%
h413 178
 
2.9%
h220h350h340 148
 
2.4%
h411 142
 
2.3%
h350h340h304 140
 
2.3%
1 120
 
2.0%
h317 113
 
1.9%
Other values (1207) 3894
64.3%
2023-12-12T16:05:44.542029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
H 12751
22.7%
3 10878
19.3%
1 7602
13.5%
0 7238
12.9%
4 4677
 
8.3%
2 3782
 
6.7%
5 1988
 
3.5%
7 1608
 
2.9%
* 1437
 
2.6%
770
 
1.4%
Other values (34) 3538
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39271
69.8%
Uppercase Letter 13378
 
23.8%
Other Punctuation 1462
 
2.6%
Lowercase Letter 1237
 
2.2%
Space Separator 770
 
1.4%
Close Punctuation 73
 
0.1%
Open Punctuation 73
 
0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 134
10.8%
f 124
10.0%
e 104
 
8.4%
t 102
 
8.2%
s 99
 
8.0%
d 98
 
7.9%
r 80
 
6.5%
n 78
 
6.3%
o 73
 
5.9%
a 68
 
5.5%
Other values (12) 277
22.4%
Decimal Number
ValueCountFrequency (%)
3 10878
27.7%
1 7602
19.4%
0 7238
18.4%
4 4677
11.9%
2 3782
 
9.6%
5 1988
 
5.1%
7 1608
 
4.1%
8 558
 
1.4%
6 541
 
1.4%
9 399
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
H 12751
95.3%
B 314
 
2.3%
D 160
 
1.2%
A 83
 
0.6%
F 65
 
0.5%
I 5
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
* 1437
98.3%
, 25
 
1.7%
Space Separator
ValueCountFrequency (%)
770
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41654
74.0%
Latin 14615
 
26.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
H 12751
87.2%
B 314
 
2.1%
D 160
 
1.1%
i 134
 
0.9%
f 124
 
0.8%
e 104
 
0.7%
t 102
 
0.7%
s 99
 
0.7%
d 98
 
0.7%
A 83
 
0.6%
Other values (18) 646
 
4.4%
Common
ValueCountFrequency (%)
3 10878
26.1%
1 7602
18.3%
0 7238
17.4%
4 4677
11.2%
2 3782
 
9.1%
5 1988
 
4.8%
7 1608
 
3.9%
* 1437
 
3.4%
770
 
1.8%
8 558
 
1.3%
Other values (6) 1116
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56269
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
H 12751
22.7%
3 10878
19.3%
1 7602
13.5%
0 7238
12.9%
4 4677
 
8.3%
2 3782
 
6.7%
5 1988
 
3.5%
7 1608
 
2.9%
* 1437
 
2.6%
770
 
1.4%
Other values (34) 3538
 
6.3%

Interactions

2023-12-12T16:05:41.574828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T16:05:41.684521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:05:41.777949image/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.
2023-12-12T16:05:41.890989image/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

유해물질확장구분유해물질확장항목유해물질확장 물질명유해물질확장 참조명
01<NA>trisodium bis[(3'-nitro-5'-sulfonato(6-amino-2-[4-(2-hydroxy-1-naphtylazo)phenylsulfonylamino]pyrimidin-5-azo)benzene-2',4-diolato)]chromate (III)H317H412
11-potassium tetrasodium bis[(N,N'-n)-1'-(phenylcarbamoyl)-3,5-disulfonatobenzeneazo-1'-prop-1'-ene-2,2'-diolato]chromate(III)H318
211313-13-9manganese dioxideH332H302
317722-64-7potassium permanganateH272H361dH302H400H410
417785-87-7manganese sulphateH373 **H411
51116633-53-5bis(N,N',N''-trimethyl-1,4,7-triazacyclononane)-trioxo-dimanganese (IV) di(hexafluorophosphate) monohydrateH411
61<NA>reaction mass of: tri-sodium [29H, 31H-phthalocyanine-C,C,C-trisulfonato (6-)-N29,N30,N31,N32] manganate (3-); tetrasodium [29H,31H-phthalocyanine-C,C,C,C-tetrasulfonato (6-)-N29,N30,N31,N32], manganate (3-); pentasodium [29H,31H-phthalocyanine-C,C,C,C,C-pentasulfonato (6-)-N29,N30,N31,N32] manganate (3-)H400H410
71100011-37-8(η-cumene)-(η-cyclopentadienyl)iron(II) hexafluoroantimonateH302H318H412
81117549-13-0(η-cumene)-(η-cyclopentadienyl)iron(II) trifluoromethane-sulfonateH302H412
917720-78-7iron (II) sulfateH302H315H319
유해물질확장구분유해물질확장항목유해물질확장 물질명유해물질확장 참조명
756814510-15-6클로로벤질레이트 [Chlorobenzilate]<NA>
756914126-72-7트리스(2,3-디브로모 프로필)포스페이트 [Tris(2,3-dibromopropyl)phosphate]<NA>
75701452645-53-1퍼메트린 [Permethrin]<NA>
757114814-49-3디에틸에스테르 클로로인산 [Phosphorochloridic acid diethyl ester]<NA>
757214<NA>중크롬산염류 [Dichromicacid,salts](본고시에서별도로규정한물질은제외)<NA>
7573147778-50-9Potassium dichromate<NA>
7574142151163Ammonium dichromate<NA>
75751413530-68-2중크롬산 [Dichromic acid]<NA>
75761410588-01-9Sodium dichromate<NA>
75771415586-38-6Nickel dichromate<NA>

Duplicate rows

Most frequently occurring

유해물질확장구분유해물질확장항목유해물질확장 물질명유해물질확장 참조명# duplicates
310<NA><NA><NA>18
049016-45-9Nonylphenol polyethylene glycol ether ; nonylphenol ethoxylate<NA>2
1493894-07-6카드뮴비스(오-노닐페놀레이트)<NA>2
29<NA>1~2까지의 화학물질 중 하나를 0.1%이상 함유한 혼합물<NA>2
414101007-06-1아크린아트린 [Acrinathrin]<NA>2
514107-02-8아크롤레인 [Acrolein]<NA>2
614115-29-7엔도술판 [Endosulfan]<NA>2
714116-06-3알디캅 [Aldicarb]<NA>2
81413171-21-6포스파미돈 [Phosphamidon]<NA>2
914133-06-2켑탄 [Captan]<NA>2