Overview

Dataset statistics

Number of variables5
Number of observations1617
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.9 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description2017년~2023년도 7월의 환경부, 한국환경산업기술원, 생활화학제품 기업, 시민단체가 "생활화학제품 안전관리 자발적 협약"을 통해 민관사 공동으로 생활화학제품 전성분 공개를 추진한 제품 정보(기업명, 제품명, 품목, 자가검사번호(신고번호)) 입니다.
URLhttps://www.data.go.kr/data/15105281/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:39:26.898855
Analysis finished2023-12-12 18:39:28.558311
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1617
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean809
Minimum1
Maximum1617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-13T03:39:28.707489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile81.8
Q1405
median809
Q31213
95-th percentile1536.2
Maximum1617
Range1616
Interquartile range (IQR)808

Descriptive statistics

Standard deviation466.93201
Coefficient of variation (CV)0.57717183
Kurtosis-1.2
Mean809
Median Absolute Deviation (MAD)404
Skewness0
Sum1308153
Variance218025.5
MonotonicityStrictly increasing
2023-12-13T03:39:29.035310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1076 1
 
0.1%
1086 1
 
0.1%
1085 1
 
0.1%
1084 1
 
0.1%
1083 1
 
0.1%
1082 1
 
0.1%
1081 1
 
0.1%
1080 1
 
0.1%
1079 1
 
0.1%
Other values (1607) 1607
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1617 1
0.1%
1616 1
0.1%
1615 1
0.1%
1614 1
0.1%
1613 1
0.1%
1612 1
0.1%
1611 1
0.1%
1610 1
0.1%
1609 1
0.1%
1608 1
0.1%
Distinct64
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
2023-12-13T03:39:29.458904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length7.1620284
Min length2

Characters and Unicode

Total characters11581
Distinct characters151
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.6%

Sample

1st row(주)아성다이소
2nd row(주)피죤
3rd rowM. K인터내셔날(판매자: ㈜이마트)
4th row주식회사 무궁화(판매자: ㈜이마트)
5th row주식회사 무궁화(판매자: ㈜이마트)
ValueCountFrequency (%)
아성다이소 314
17.6%
㈜엘지생활건강 213
 
12.0%
주)불스원 187
 
10.5%
주)lg생활건강 125
 
7.0%
주식회사 116
 
6.5%
애경산업㈜ 65
 
3.6%
주)피죤 58
 
3.3%
㈜피죤 44
 
2.5%
헨켈홈케어코리아 40
 
2.2%
라이온코리아 38
 
2.1%
Other values (59) 582
32.7%
2023-12-13T03:39:30.089458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
687
 
5.9%
) 670
 
5.8%
( 670
 
5.8%
464
 
4.0%
460
 
4.0%
450
 
3.9%
396
 
3.4%
393
 
3.4%
393
 
3.4%
393
 
3.4%
Other values (141) 6605
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9307
80.4%
Close Punctuation 670
 
5.8%
Open Punctuation 670
 
5.8%
Other Symbol 450
 
3.9%
Uppercase Letter 257
 
2.2%
Space Separator 169
 
1.5%
Other Punctuation 47
 
0.4%
Lowercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
687
 
7.4%
464
 
5.0%
460
 
4.9%
396
 
4.3%
393
 
4.2%
393
 
4.2%
393
 
4.2%
352
 
3.8%
346
 
3.7%
345
 
3.7%
Other values (122) 5078
54.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
s 2
18.2%
c 1
 
9.1%
t 1
 
9.1%
n 1
 
9.1%
i 1
 
9.1%
r 1
 
9.1%
p 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
L 125
48.6%
G 125
48.6%
M 3
 
1.2%
K 3
 
1.2%
R 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 44
93.6%
. 3
 
6.4%
Close Punctuation
ValueCountFrequency (%)
) 670
100.0%
Open Punctuation
ValueCountFrequency (%)
( 670
100.0%
Other Symbol
ValueCountFrequency (%)
450
100.0%
Space Separator
ValueCountFrequency (%)
169
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9757
84.3%
Common 1556
 
13.4%
Latin 268
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
687
 
7.0%
464
 
4.8%
460
 
4.7%
450
 
4.6%
396
 
4.1%
393
 
4.0%
393
 
4.0%
393
 
4.0%
352
 
3.6%
346
 
3.5%
Other values (123) 5423
55.6%
Latin
ValueCountFrequency (%)
L 125
46.6%
G 125
46.6%
e 3
 
1.1%
M 3
 
1.1%
K 3
 
1.1%
s 2
 
0.7%
c 1
 
0.4%
t 1
 
0.4%
n 1
 
0.4%
i 1
 
0.4%
Other values (3) 3
 
1.1%
Common
ValueCountFrequency (%)
) 670
43.1%
( 670
43.1%
169
 
10.9%
: 44
 
2.8%
. 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9307
80.4%
ASCII 1824
 
15.7%
None 450
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
687
 
7.4%
464
 
5.0%
460
 
4.9%
396
 
4.3%
393
 
4.2%
393
 
4.2%
393
 
4.2%
352
 
3.8%
346
 
3.7%
345
 
3.7%
Other values (122) 5078
54.6%
ASCII
ValueCountFrequency (%)
) 670
36.7%
( 670
36.7%
169
 
9.3%
L 125
 
6.9%
G 125
 
6.9%
: 44
 
2.4%
e 3
 
0.2%
M 3
 
0.2%
. 3
 
0.2%
K 3
 
0.2%
Other values (8) 9
 
0.5%
None
ValueCountFrequency (%)
450
100.0%
Distinct1568
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
2023-12-13T03:39:30.668679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length47
Mean length15.680272
Min length2

Characters and Unicode

Total characters25355
Distinct characters642
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1522 ?
Unique (%)94.1%

Sample

1st row그린참숯습기제거제(16145)
2nd row건조기용 피죤 보타닉 핑크부케
3rd row러빙홈 밀대양초(대)
4th row노브랜드 세탁세제(드럼용)2.5L
5th row노브랜드 세탁세제(일반용)2.5L
ValueCountFrequency (%)
샤프란 66
 
1.5%
테크 60
 
1.3%
섬유유연제 59
 
1.3%
액체세제 50
 
1.1%
47
 
1.0%
폴라프레쉬 44
 
1.0%
홈스타 44
 
1.0%
피죤 41
 
0.9%
베이킹소다 40
 
0.9%
비트 32
 
0.7%
Other values (1776) 4005
89.2%
2023-12-13T03:39:31.567310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2881
 
11.4%
741
 
2.9%
607
 
2.4%
) 553
 
2.2%
( 542
 
2.1%
0 484
 
1.9%
450
 
1.8%
443
 
1.7%
380
 
1.5%
364
 
1.4%
Other values (632) 17910
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18231
71.9%
Space Separator 2881
 
11.4%
Decimal Number 1420
 
5.6%
Uppercase Letter 791
 
3.1%
Close Punctuation 556
 
2.2%
Open Punctuation 545
 
2.1%
Lowercase Letter 440
 
1.7%
Other Punctuation 285
 
1.1%
Connector Punctuation 86
 
0.3%
Dash Punctuation 53
 
0.2%
Other values (3) 67
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
741
 
4.1%
607
 
3.3%
450
 
2.5%
443
 
2.4%
380
 
2.1%
364
 
2.0%
318
 
1.7%
313
 
1.7%
288
 
1.6%
278
 
1.5%
Other values (556) 14049
77.1%
Uppercase Letter
ValueCountFrequency (%)
L 177
22.4%
M 145
18.3%
G 92
11.6%
P 53
 
6.7%
R 45
 
5.7%
A 44
 
5.6%
K 35
 
4.4%
O 33
 
4.2%
E 25
 
3.2%
S 23
 
2.9%
Other values (15) 119
15.0%
Lowercase Letter
ValueCountFrequency (%)
l 84
19.1%
m 78
17.7%
a 38
8.6%
r 37
8.4%
i 33
 
7.5%
g 32
 
7.3%
n 31
 
7.0%
e 19
 
4.3%
p 18
 
4.1%
b 11
 
2.5%
Other values (11) 59
13.4%
Decimal Number
ValueCountFrequency (%)
0 484
34.1%
1 248
17.5%
2 166
 
11.7%
5 151
 
10.6%
3 95
 
6.7%
4 76
 
5.4%
6 62
 
4.4%
8 58
 
4.1%
9 45
 
3.2%
7 35
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 79
27.7%
/ 56
19.6%
& 53
18.6%
, 42
14.7%
% 25
 
8.8%
* 13
 
4.6%
· 12
 
4.2%
; 2
 
0.7%
! 2
 
0.7%
: 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 553
99.5%
] 3
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 542
99.4%
[ 3
 
0.6%
Space Separator
ValueCountFrequency (%)
2881
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Control
ValueCountFrequency (%)
47
100.0%
Math Symbol
ValueCountFrequency (%)
+ 18
100.0%
Other Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18231
71.9%
Common 5893
 
23.2%
Latin 1231
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
741
 
4.1%
607
 
3.3%
450
 
2.5%
443
 
2.4%
380
 
2.1%
364
 
2.0%
318
 
1.7%
313
 
1.7%
288
 
1.6%
278
 
1.5%
Other values (556) 14049
77.1%
Latin
ValueCountFrequency (%)
L 177
14.4%
M 145
 
11.8%
G 92
 
7.5%
l 84
 
6.8%
m 78
 
6.3%
P 53
 
4.3%
R 45
 
3.7%
A 44
 
3.6%
a 38
 
3.1%
r 37
 
3.0%
Other values (36) 438
35.6%
Common
ValueCountFrequency (%)
2881
48.9%
) 553
 
9.4%
( 542
 
9.2%
0 484
 
8.2%
1 248
 
4.2%
2 166
 
2.8%
5 151
 
2.6%
3 95
 
1.6%
_ 86
 
1.5%
. 79
 
1.3%
Other values (20) 608
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18231
71.9%
ASCII 7110
 
28.0%
None 14
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2881
40.5%
) 553
 
7.8%
( 542
 
7.6%
0 484
 
6.8%
1 248
 
3.5%
L 177
 
2.5%
2 166
 
2.3%
5 151
 
2.1%
M 145
 
2.0%
3 95
 
1.3%
Other values (64) 1668
23.5%
Hangul
ValueCountFrequency (%)
741
 
4.1%
607
 
3.3%
450
 
2.5%
443
 
2.4%
380
 
2.1%
364
 
2.0%
318
 
1.7%
313
 
1.7%
288
 
1.6%
278
 
1.5%
Other values (556) 14049
77.1%
None
ValueCountFrequency (%)
· 12
85.7%
2
 
14.3%

품목
Categorical

Distinct41
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
방향제
380 
세정제
234 
섬유유연제
185 
합성세제
171 
탈취제
166 
Other values (36)
481 

Length

Max length13
Median length3
Mean length3.6883117
Min length2

Unique

Unique11 ?
Unique (%)0.7%

Sample

1st row습기제거제
2nd row섬유유연제
3rd row양초
4th row세탁세제
5th row세탁세제

Common Values

ValueCountFrequency (%)
방향제 380
23.5%
세정제 234
14.5%
섬유유연제 185
11.4%
합성세제 171
10.6%
탈취제 166
10.3%
세탁세제 127
 
7.9%
표백제 75
 
4.6%
살균제 70
 
4.3%
코팅제 46
 
2.8%
습기제거제 32
 
2.0%
Other values (31) 131
 
8.1%

Length

2023-12-13T03:39:31.861185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방향제 380
22.9%
세정제 235
14.2%
섬유유연제 185
11.2%
합성세제 171
10.3%
탈취제 168
10.1%
세탁세제 127
 
7.7%
표백제 77
 
4.6%
살균제 71
 
4.3%
코팅제 46
 
2.8%
습기제거제 33
 
2.0%
Other values (32) 164
9.9%
Distinct776
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
2023-12-13T03:39:32.270343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length47
Mean length17.184292
Min length1

Characters and Unicode

Total characters27787
Distinct characters65
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique520 ?
Unique (%)32.2%

Sample

1st rowE-A18B-C00010001-A180
2nd rowEB20-05-0141
3rd rowGB20-26-1790
4th rowFB20-03-0309
5th rowFB20-03-0309
ValueCountFrequency (%)
g-a09b-r008001-a160 33
 
2.0%
e-a09b-r028002-a150 26
 
1.6%
c-a02b-k004002-a15 25
 
1.5%
e-a09b-r032001-a150 24
 
1.5%
e-a09b-r037002-a150 23
 
1.4%
f-a04b-e001001-a150 20
 
1.2%
c-a09b-h307007-a150 19
 
1.1%
g-a09b-r001001-a160 17
 
1.0%
f-a02b-a001005-a150 15
 
0.9%
fb20-03-0011 15
 
0.9%
Other values (771) 1437
86.9%
2023-12-13T03:39:32.953562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7850
28.3%
- 4321
15.6%
1 3281
11.8%
A 2634
 
9.5%
B 1577
 
5.7%
2 1192
 
4.3%
5 1114
 
4.0%
9 693
 
2.5%
F 671
 
2.4%
3 642
 
2.3%
Other values (55) 3812
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16514
59.4%
Uppercase Letter 6631
23.9%
Dash Punctuation 4321
 
15.6%
Control 105
 
0.4%
Other Letter 86
 
0.3%
Lowercase Letter 54
 
0.2%
Space Separator 51
 
0.2%
Other Punctuation 18
 
0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
8.1%
6
 
7.0%
6
 
7.0%
6
 
7.0%
6
 
7.0%
6
 
7.0%
6
 
7.0%
5
 
5.8%
5
 
5.8%
5
 
5.8%
Other values (17) 28
32.6%
Uppercase Letter
ValueCountFrequency (%)
A 2634
39.7%
B 1577
23.8%
F 671
 
10.1%
E 342
 
5.2%
R 306
 
4.6%
C 278
 
4.2%
H 251
 
3.8%
G 189
 
2.9%
D 154
 
2.3%
J 118
 
1.8%
Other values (5) 111
 
1.7%
Decimal Number
ValueCountFrequency (%)
0 7850
47.5%
1 3281
19.9%
2 1192
 
7.2%
5 1114
 
6.7%
9 693
 
4.2%
3 642
 
3.9%
4 492
 
3.0%
7 489
 
3.0%
8 393
 
2.4%
6 368
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 6
33.3%
' 6
33.3%
: 4
22.2%
? 1
 
5.6%
& 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
c 27
50.0%
h 27
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 4321
100.0%
Control
ValueCountFrequency (%)
105
100.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21016
75.6%
Latin 6685
 
24.1%
Hangul 86
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
8.1%
6
 
7.0%
6
 
7.0%
6
 
7.0%
6
 
7.0%
6
 
7.0%
6
 
7.0%
5
 
5.8%
5
 
5.8%
5
 
5.8%
Other values (17) 28
32.6%
Common
ValueCountFrequency (%)
0 7850
37.4%
- 4321
20.6%
1 3281
15.6%
2 1192
 
5.7%
5 1114
 
5.3%
9 693
 
3.3%
3 642
 
3.1%
4 492
 
2.3%
7 489
 
2.3%
8 393
 
1.9%
Other values (11) 549
 
2.6%
Latin
ValueCountFrequency (%)
A 2634
39.4%
B 1577
23.6%
F 671
 
10.0%
E 342
 
5.1%
R 306
 
4.6%
C 278
 
4.2%
H 251
 
3.8%
G 189
 
2.8%
D 154
 
2.3%
J 118
 
1.8%
Other values (7) 165
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27701
99.7%
Hangul 86
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7850
28.3%
- 4321
15.6%
1 3281
11.8%
A 2634
 
9.5%
B 1577
 
5.7%
2 1192
 
4.3%
5 1114
 
4.0%
9 693
 
2.5%
F 671
 
2.4%
3 642
 
2.3%
Other values (28) 3726
13.5%
Hangul
ValueCountFrequency (%)
7
 
8.1%
6
 
7.0%
6
 
7.0%
6
 
7.0%
6
 
7.0%
6
 
7.0%
6
 
7.0%
5
 
5.8%
5
 
5.8%
5
 
5.8%
Other values (17) 28
32.6%

Interactions

2023-12-13T03:39:27.994063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:39:33.111413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기업명(자발적 협약 기업)품목
연번1.0000.9230.698
기업명(자발적 협약 기업)0.9231.0000.950
품목0.6980.9501.000
2023-12-13T03:39:33.286706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번품목
연번1.0000.319
품목0.3191.000

Missing values

2023-12-13T03:39:28.262248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:39:28.479925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번기업명(자발적 협약 기업)제품명품목자가검사번호(신고번호)
01(주)아성다이소그린참숯습기제거제(16145)습기제거제E-A18B-C00010001-A180
12(주)피죤건조기용 피죤 보타닉 핑크부케섬유유연제EB20-05-0141
23M. K인터내셔날(판매자: ㈜이마트)러빙홈 밀대양초(대)양초GB20-26-1790
34주식회사 무궁화(판매자: ㈜이마트)노브랜드 세탁세제(드럼용)2.5L세탁세제FB20-03-0309
45주식회사 무궁화(판매자: ㈜이마트)노브랜드 세탁세제(일반용)2.5L세탁세제FB20-03-0309
56주식회사 무궁화(판매자: ㈜이마트)노브랜드 세탁세제(일반용)세탁세제FB20-03-0309
67프롬(판매자: ㈜이마트)핸디수정테이프수정액 및 수정테이프CB21-30-0008
78상원상공(주)(판매자: ㈜이마트)깨끗한향락스살균제CA21-21-0837
89주식회사 무궁화(판매자: ㈜이마트)노브랜드 섬유유연제(스위트블랙체리)섬유유연제FB20-05-0160
910주식회사 무궁화(판매자: ㈜이마트)노브랜드 섬유유연제(오렌지&화이트머스크)섬유유연제FB20-05-0160
연번기업명(자발적 협약 기업)제품명품목자가검사번호(신고번호)
16071608(주)LG생활건강한입 과탄산소다 담은 표백제세정제,탈취제,표백제FB19-01-0776
16081609한울생약주식회사(판매자:㈜이마트)노브랜드 손으로 쓰는 물걸레 청소포세정제CB21-01-1328
16091610상원상공(주)(판매자:㈜이마트)깨끗한락스살균제,표백제CA21-21-1299
16101611상원상공(주)(판매자:㈜이마트)파워트래펑세정제CA21-01-1616
16111612상원상공(주)(판매자:롯데쇼핑㈜롯데마트사업본부)온리프라이스락스살균제,표백제CA21-21-0950
16121613상원상공(주)(판매자:롯데쇼핑㈜롯데마트사업본부)온리프라이스 배수관클리너세정제CA20-01-0396
16131614라이온코리아 주식회사비트 에코미스 산소표백제표백제EB20-04-0043
16141615라이온코리아 주식회사비트 딥클린파워(Power)플러스(겸용)세탁세제EB20-03-0075
16151616라이온코리아 주식회사참그린 참 순수한 베이킹소다세정제,탈취제EB19-01-0356
16161617라이온코리아 주식회사비트 오투 산소표백제표백제EB21-04-0880