Overview

Dataset statistics

Number of variables13
Number of observations10000
Missing cells15142
Missing cells (%)11.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory113.0 B

Variable types

Numeric1
Text6
DateTime1
Categorical5

Dataset

Description2019년도부터 2023년도 7월까지 화학제품관리법에 따라 한국환경산업기술원 생활화학제품안전센터에서 신고 접수받아 신고증명서를 발급한 신고대상안전확인대상생활화학제품의 신고증명서 발급 정보(상호명, 제품명, 신고번호, 신고증명서 발급일 등) 입니다.
URLhttps://www.data.go.kr/data/15105295/fileData.do

Alerts

신고유형(제조_수입) is highly overall correlated with 신고유형(제조방식)High correlation
신고유형(제조방식) is highly overall correlated with 신고유형(제조_수입)High correlation
NO is highly overall correlated with 신규 구분 and 1 other fieldsHigh correlation
신규 구분 is highly overall correlated with NOHigh correlation
대표 구분 is highly overall correlated with NOHigh correlation
신고유형(제조방식) is highly imbalanced (55.9%)Imbalance
제조국가_수입 has 7571 (75.7%) missing valuesMissing
제조회사_수입 has 7571 (75.7%) missing valuesMissing
NO has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:32:52.768907
Analysis finished2023-12-12 04:32:55.793274
Duration3.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

NO
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41137.426
Minimum4
Maximum81835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:32:55.908958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4091.7
Q120889.75
median41344.5
Q361783.5
95-th percentile77784.5
Maximum81835
Range81831
Interquartile range (IQR)40893.75

Descriptive statistics

Standard deviation23602.586
Coefficient of variation (CV)0.57374971
Kurtosis-1.1987906
Mean41137.426
Median Absolute Deviation (MAD)20441
Skewness-0.01583503
Sum4.1137426 × 108
Variance5.5708208 × 108
MonotonicityNot monotonic
2023-12-12T13:32:56.098176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28752 1
 
< 0.1%
41463 1
 
< 0.1%
42532 1
 
< 0.1%
12795 1
 
< 0.1%
46866 1
 
< 0.1%
58787 1
 
< 0.1%
632 1
 
< 0.1%
33962 1
 
< 0.1%
66182 1
 
< 0.1%
12547 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
4 1
< 0.1%
20 1
< 0.1%
27 1
< 0.1%
40 1
< 0.1%
42 1
< 0.1%
44 1
< 0.1%
49 1
< 0.1%
52 1
< 0.1%
72 1
< 0.1%
82 1
< 0.1%
ValueCountFrequency (%)
81835 1
< 0.1%
81833 1
< 0.1%
81828 1
< 0.1%
81824 1
< 0.1%
81820 1
< 0.1%
81802 1
< 0.1%
81789 1
< 0.1%
81781 1
< 0.1%
81780 1
< 0.1%
81769 1
< 0.1%

상호명
Text

Distinct5135
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:32:56.506430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length8.8167
Min length1

Characters and Unicode

Total characters88167
Distinct characters917
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3166 ?
Unique (%)31.7%

Sample

1st row공방뿌리
2nd row(주) 한불화농
3rd row소뉴스튜디오
4th row(주)아로마무역
5th row주식회사 나노에코웨이 (Nano EcoWay)
ValueCountFrequency (%)
주식회사 1886
 
12.6%
주 457
 
3.1%
유한회사 169
 
1.1%
co.,ltd 89
 
0.6%
자라홈코리아 62
 
0.4%
캔들 50
 
0.3%
코리아 49
 
0.3%
inc 47
 
0.3%
주)lg생활건강 46
 
0.3%
센트온 43
 
0.3%
Other values (5905) 12026
80.6%
2023-12-12T13:32:57.070715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4925
 
5.6%
주 4235
 
4.8%
) 3772
 
4.3%
( 3758
 
4.3%
이 2579
 
2.9%
사 2492
 
2.8%
회 2313
 
2.6%
식 2083
 
2.4%
스 1909
 
2.2%
리 1746
 
2.0%
Other values (907) 58355
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59813
67.8%
Lowercase Letter 8778
 
10.0%
Uppercase Letter 6062
 
6.9%
Space Separator 4925
 
5.6%
Close Punctuation 3775
 
4.3%
Open Punctuation 3763
 
4.3%
Other Punctuation 613
 
0.7%
Decimal Number 347
 
0.4%
Connector Punctuation 44
 
< 0.1%
Dash Punctuation 43
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4235
 
7.1%
이 2579
 
4.3%
사 2492
 
4.2%
회 2313
 
3.9%
식 2083
 
3.5%
스 1909
 
3.2%
리 1746
 
2.9%
아 1706
 
2.9%
코 1354
 
2.3%
에 1234
 
2.1%
Other values (827) 38162
63.8%
Lowercase Letter
ValueCountFrequency (%)
o 1035
11.8%
e 1021
11.6%
n 788
 
9.0%
a 703
 
8.0%
i 659
 
7.5%
t 529
 
6.0%
r 527
 
6.0%
l 521
 
5.9%
d 459
 
5.2%
s 419
 
4.8%
Other values (16) 2117
24.1%
Uppercase Letter
ValueCountFrequency (%)
C 538
 
8.9%
L 485
 
8.0%
E 480
 
7.9%
O 462
 
7.6%
A 414
 
6.8%
I 336
 
5.5%
M 334
 
5.5%
N 324
 
5.3%
T 318
 
5.2%
S 318
 
5.2%
Other values (16) 2053
33.9%
Decimal Number
ValueCountFrequency (%)
1 72
20.7%
0 54
15.6%
2 51
14.7%
5 38
11.0%
4 25
 
7.2%
3 24
 
6.9%
7 22
 
6.3%
8 21
 
6.1%
9 21
 
6.1%
6 19
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 328
53.5%
, 147
24.0%
& 83
 
13.5%
' 30
 
4.9%
: 14
 
2.3%
; 7
 
1.1%
/ 3
 
0.5%
? 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 3758
99.9%
[ 3
 
0.1%
（ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3772
99.9%
] 3
 
0.1%
Space Separator
ValueCountFrequency (%)
4925
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59795
67.8%
Latin 14840
 
16.8%
Common 13511
 
15.3%
Han 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4235
 
7.1%
이 2579
 
4.3%
사 2492
 
4.2%
회 2313
 
3.9%
식 2083
 
3.5%
스 1909
 
3.2%
리 1746
 
2.9%
아 1706
 
2.9%
코 1354
 
2.3%
에 1234
 
2.1%
Other values (819) 38144
63.8%
Latin
ValueCountFrequency (%)
o 1035
 
7.0%
e 1021
 
6.9%
n 788
 
5.3%
a 703
 
4.7%
i 659
 
4.4%
C 538
 
3.6%
t 529
 
3.6%
r 527
 
3.6%
l 521
 
3.5%
L 485
 
3.3%
Other values (42) 8034
54.1%
Common
ValueCountFrequency (%)
4925
36.5%
) 3772
27.9%
( 3758
27.8%
. 328
 
2.4%
, 147
 
1.1%
& 83
 
0.6%
1 72
 
0.5%
0 54
 
0.4%
2 51
 
0.4%
_ 44
 
0.3%
Other values (17) 277
 
2.1%
Han
ValueCountFrequency (%)
愛 5
23.8%
泊 4
19.0%
曉 4
19.0%
溫 2
 
9.5%
嬉 2
 
9.5%
採 1
 
4.8%
娟 1
 
4.8%
情 1
 
4.8%
多 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59791
67.8%
ASCII 28349
32.2%
CJK 21
 
< 0.1%
None 5
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4925
17.4%
) 3772
 
13.3%
( 3758
 
13.3%
o 1035
 
3.7%
e 1021
 
3.6%
n 788
 
2.8%
a 703
 
2.5%
i 659
 
2.3%
C 538
 
1.9%
t 529
 
1.9%
Other values (68) 10621
37.5%
Hangul
ValueCountFrequency (%)
주 4235
 
7.1%
이 2579
 
4.3%
사 2492
 
4.2%
회 2313
 
3.9%
식 2083
 
3.5%
스 1909
 
3.2%
리 1746
 
2.9%
아 1706
 
2.9%
코 1354
 
2.3%
에 1234
 
2.1%
Other values (817) 38140
63.8%
CJK
ValueCountFrequency (%)
愛 5
23.8%
泊 4
19.0%
曉 4
19.0%
溫 2
 
9.5%
嬉 2
 
9.5%
採 1
 
4.8%
娟 1
 
4.8%
情 1
 
4.8%
多 1
 
4.8%
None
ValueCountFrequency (%)
㈜ 3
60.0%
（ 2
40.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

제품명
Text

Distinct9635
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:32:57.456728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length79
Mean length14.836
Min length2

Characters and Unicode

Total characters148360
Distinct characters1080
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9310 ?
Unique (%)93.1%

Sample

1st row공방뿌리5온즈소이캔들
2nd row에프케이에이 샤쉐
3rd row소뉴스튜디오 소이캔들
4th row스마트센트 벤트클립 (미드썸머나잇)
5th row뷰오케이 사이드미러&욕실 친수 코팅제
ValueCountFrequency (%)
디퓨저 567
 
2.1%
소이캔들 452
 
1.7%
캔들 434
 
1.6%
269
 
1.0%
석고방향제 181
 
0.7%
스프레이 169
 
0.6%
방향제 146
 
0.5%
향 126
 
0.5%
클리너 114
 
0.4%
디퓨져 97
 
0.4%
Other values (13431) 24625
90.6%
2023-12-12T13:32:58.124157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17261
 
11.6%
이 4399
 
3.0%
( 3854
 
2.6%
) 3851
 
2.6%
스 3686
 
2.5%
리 2784
 
1.9%
제 2166
 
1.5%
들 2127
 
1.4%
캔 2111
 
1.4%
트 1871
 
1.3%
Other values (1070) 104250
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96433
65.0%
Space Separator 17268
 
11.6%
Uppercase Letter 9743
 
6.6%
Lowercase Letter 8290
 
5.6%
Decimal Number 6551
 
4.4%
Open Punctuation 3879
 
2.6%
Close Punctuation 3877
 
2.6%
Dash Punctuation 1137
 
0.8%
Other Punctuation 845
 
0.6%
Connector Punctuation 265
 
0.2%
Other values (5) 72
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4399
 
4.6%
스 3686
 
3.8%
리 2784
 
2.9%
제 2166
 
2.2%
들 2127
 
2.2%
캔 2111
 
2.2%
트 1871
 
1.9%
라 1800
 
1.9%
디 1702
 
1.8%
향 1667
 
1.7%
Other values (974) 72120
74.8%
Uppercase Letter
ValueCountFrequency (%)
E 875
 
9.0%
A 775
 
8.0%
C 693
 
7.1%
L 692
 
7.1%
S 650
 
6.7%
R 597
 
6.1%
T 586
 
6.0%
N 517
 
5.3%
O 512
 
5.3%
I 451
 
4.6%
Other values (17) 3395
34.8%
Lowercase Letter
ValueCountFrequency (%)
e 1163
14.0%
a 767
 
9.3%
r 726
 
8.8%
n 652
 
7.9%
o 633
 
7.6%
l 624
 
7.5%
i 612
 
7.4%
t 444
 
5.4%
s 368
 
4.4%
u 306
 
3.7%
Other values (16) 1995
24.1%
Other Punctuation
ValueCountFrequency (%)
/ 290
34.3%
& 216
25.6%
. 148
17.5%
, 93
 
11.0%
: 25
 
3.0%
' 23
 
2.7%
% 18
 
2.1%
# 17
 
2.0%
* 6
 
0.7%
· 5
 
0.6%
Other values (2) 4
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 1629
24.9%
1 1060
16.2%
2 814
12.4%
3 657
10.0%
5 584
 
8.9%
4 494
 
7.5%
7 411
 
6.3%
6 341
 
5.2%
8 283
 
4.3%
9 278
 
4.2%
Math Symbol
ValueCountFrequency (%)
+ 24
41.4%
< 15
25.9%
> 15
25.9%
| 3
 
5.2%
~ 1
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 3851
99.3%
] 24
 
0.6%
） 1
 
< 0.1%
】 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3854
99.4%
[ 24
 
0.6%
【 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
17261
> 99.9%
　 7
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅰ 1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 1137
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 265
100.0%
Other Symbol
ValueCountFrequency (%)
® 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96426
65.0%
Common 33886
 
22.8%
Latin 18041
 
12.2%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4399
 
4.6%
스 3686
 
3.8%
리 2784
 
2.9%
제 2166
 
2.2%
들 2127
 
2.2%
캔 2111
 
2.2%
트 1871
 
1.9%
라 1800
 
1.9%
디 1702
 
1.8%
향 1667
 
1.7%
Other values (970) 72113
74.8%
Latin
ValueCountFrequency (%)
e 1163
 
6.4%
E 875
 
4.9%
A 775
 
4.3%
a 767
 
4.3%
r 726
 
4.0%
C 693
 
3.8%
L 692
 
3.8%
n 652
 
3.6%
S 650
 
3.6%
o 633
 
3.5%
Other values (45) 10415
57.7%
Common
ValueCountFrequency (%)
17261
50.9%
( 3854
 
11.4%
) 3851
 
11.4%
0 1629
 
4.8%
- 1137
 
3.4%
1 1060
 
3.1%
2 814
 
2.4%
3 657
 
1.9%
5 584
 
1.7%
4 494
 
1.5%
Other values (31) 2545
 
7.5%
Han
ValueCountFrequency (%)
愛 4
57.1%
作 1
 
14.3%
覃 1
 
14.3%
恩 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96426
65.0%
ASCII 51897
35.0%
None 19
 
< 0.1%
Number Forms 8
 
< 0.1%
CJK 7
 
< 0.1%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17261
33.3%
( 3854
 
7.4%
) 3851
 
7.4%
0 1629
 
3.1%
e 1163
 
2.2%
- 1137
 
2.2%
1 1060
 
2.0%
E 875
 
1.7%
2 814
 
1.6%
A 775
 
1.5%
Other values (75) 19478
37.5%
Hangul
ValueCountFrequency (%)
이 4399
 
4.6%
스 3686
 
3.8%
리 2784
 
2.9%
제 2166
 
2.2%
들 2127
 
2.2%
캔 2111
 
2.2%
트 1871
 
1.9%
라 1800
 
1.9%
디 1702
 
1.8%
향 1667
 
1.7%
Other values (970) 72113
74.8%
None
ValueCountFrequency (%)
　 7
36.8%
· 5
26.3%
® 3
15.8%
） 1
 
5.3%
Ø 1
 
5.3%
【 1
 
5.3%
】 1
 
5.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅰ 1
 
12.5%
CJK
ValueCountFrequency (%)
愛 4
57.1%
作 1
 
14.3%
覃 1
 
14.3%
恩 1
 
14.3%
Punctuation
ValueCountFrequency (%)
’ 2
66.7%
‘ 1
33.3%

신고번호
Text

Distinct8411
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:32:58.462868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters19
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

Unique7015 ?
Unique (%)70.2%

Sample

1st rowCB21-26-0162
2nd rowHB22-12-2203
3rd rowCB22-26-0627
4th rowFB20-12-2512
5th rowCB21-07-1174
ValueCountFrequency (%)
fb21-15-0003 5
 
< 0.1%
hb22-12-2765 4
 
< 0.1%
fb21-20-2069 4
 
< 0.1%
eb22-12-0199 4
 
< 0.1%
eb22-12-2912 4
 
< 0.1%
cb20-12-1600 4
 
< 0.1%
gb22-12-2663 4
 
< 0.1%
hb22-07-0123 4
 
< 0.1%
hb23-01-0194 4
 
< 0.1%
db21-26-0008 4
 
< 0.1%
Other values (8401) 9959
99.6%
2023-12-12T13:32:58.914982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 23622
19.7%
- 20000
16.7%
1 17009
14.2%
0 13533
11.3%
B 9780
8.2%
3 5507
 
4.6%
6 5266
 
4.4%
C 3706
 
3.1%
7 3142
 
2.6%
8 3126
 
2.6%
Other values (9) 15309
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80000
66.7%
Dash Punctuation 20000
 
16.7%
Uppercase Letter 20000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 23622
29.5%
1 17009
21.3%
0 13533
16.9%
3 5507
 
6.9%
6 5266
 
6.6%
7 3142
 
3.9%
8 3126
 
3.9%
5 2959
 
3.7%
4 2947
 
3.7%
9 2889
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 9780
48.9%
C 3706
 
18.5%
H 2163
 
10.8%
D 1370
 
6.9%
F 1199
 
6.0%
E 925
 
4.6%
G 571
 
2.9%
A 286
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
83.3%
Latin 20000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 23622
23.6%
- 20000
20.0%
1 17009
17.0%
0 13533
13.5%
3 5507
 
5.5%
6 5266
 
5.3%
7 3142
 
3.1%
8 3126
 
3.1%
5 2959
 
3.0%
4 2947
 
2.9%
Latin
ValueCountFrequency (%)
B 9780
48.9%
C 3706
 
18.5%
H 2163
 
10.8%
D 1370
 
6.9%
F 1199
 
6.0%
E 925
 
4.6%
G 571
 
2.9%
A 286
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 23622
19.7%
- 20000
16.7%
1 17009
14.2%
0 13533
11.3%
B 9780
8.2%
3 5507
 
4.6%
6 5266
 
4.4%
C 3706
 
3.1%
7 3142
 
2.6%
8 3126
 
2.6%
Other values (9) 15309
12.8%

신고증명서 발급일
Date

Distinct781
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-08-05 00:00:00
Maximum2023-07-20 00:00:00
2023-12-12T13:32:59.090459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:32:59.261933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

신규 구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신규
7762 
변경
2238 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 7762
77.6%
변경 2238
 
22.4%

Length

2023-12-12T13:32:59.393184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:32:59.491046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 7762
77.6%
변경 2238
 
22.4%

대표 구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대표
5752 
파생
4248 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대표
2nd row대표
3rd row대표
4th row파생
5th row대표

Common Values

ValueCountFrequency (%)
대표 5752
57.5%
파생 4248
42.5%

Length

2023-12-12T13:32:59.594898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:32:59.691846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표 5752
57.5%
파생 4248
42.5%

제형
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
비분사형
5332 
분사형
4529 
분사형,비분사형
 
139

Length

Max length8
Median length4
Mean length3.6027
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비분사형
2nd row비분사형
3rd row분사형
4th row비분사형
5th row분사형

Common Values

ValueCountFrequency (%)
비분사형 5332
53.3%
분사형 4529
45.3%
분사형,비분사형 139
 
1.4%

Length

2023-12-12T13:32:59.811506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:32:59.929611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비분사형 5332
53.3%
분사형 4529
45.3%
분사형,비분사형 139
 
1.4%

세부_제형
Text

Distinct153
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:33:00.170183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length3
Mean length4.1
Min length2

Characters and Unicode

Total characters41000
Distinct characters74
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)0.7%

Sample

1st row기타(연소형)
2nd row액체형
3rd row연소형
4th row액체형
5th row분무기형
ValueCountFrequency (%)
액체형 2566
25.6%
연소형 2408
24.0%
분무기형 1536
15.3%
함침물형 779
 
7.8%
고체형 375
 
3.7%
분말형 285
 
2.8%
카트리지형 275
 
2.7%
에멀션형 258
 
2.6%
티슈형 200
 
2.0%
스프레이형 198
 
2.0%
Other values (145) 1153
11.5%
2023-12-12T13:33:00.552392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
형 11279
27.5%
체 3387
 
8.3%
액 2981
 
7.3%
연 2477
 
6.0%
소 2460
 
6.0%
분 2329
 
5.7%
기 2052
 
5.0%
무 1966
 
4.8%
) 1039
 
2.5%
( 1039
 
2.5%
Other values (64) 9991
24.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38509
93.9%
Close Punctuation 1041
 
2.5%
Open Punctuation 1041
 
2.5%
Other Punctuation 364
 
0.9%
Space Separator 33
 
0.1%
Dash Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
형 11279
29.3%
체 3387
 
8.8%
액 2981
 
7.7%
연 2477
 
6.4%
소 2460
 
6.4%
분 2329
 
6.0%
기 2052
 
5.3%
무 1966
 
5.1%
함 989
 
2.6%
침 988
 
2.6%
Other values (55) 7601
19.7%
Other Punctuation
ValueCountFrequency (%)
, 361
99.2%
/ 2
 
0.5%
: 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1039
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1039
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38509
93.9%
Common 2491
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
형 11279
29.3%
체 3387
 
8.8%
액 2981
 
7.7%
연 2477
 
6.4%
소 2460
 
6.4%
분 2329
 
6.0%
기 2052
 
5.3%
무 1966
 
5.1%
함 989
 
2.6%
침 988
 
2.6%
Other values (55) 7601
19.7%
Common
ValueCountFrequency (%)
) 1039
41.7%
( 1039
41.7%
, 361
 
14.5%
33
 
1.3%
- 12
 
0.5%
/ 2
 
0.1%
] 2
 
0.1%
[ 2
 
0.1%
: 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38509
93.9%
ASCII 2491
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
형 11279
29.3%
체 3387
 
8.8%
액 2981
 
7.7%
연 2477
 
6.4%
소 2460
 
6.4%
분 2329
 
6.0%
기 2052
 
5.3%
무 1966
 
5.1%
함 989
 
2.6%
침 988
 
2.6%
Other values (55) 7601
19.7%
ASCII
ValueCountFrequency (%)
) 1039
41.7%
( 1039
41.7%
, 361
 
14.5%
33
 
1.3%
- 12
 
0.5%
/ 2
 
0.1%
] 2
 
0.1%
[ 2
 
0.1%
: 1
 
< 0.1%

신고유형(제조_수입)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제조
7571 
수입
2429 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제조
2nd row제조
3rd row제조
4th row수입
5th row제조

Common Values

ValueCountFrequency (%)
제조 7571
75.7%
수입 2429
 
24.3%

Length

2023-12-12T13:33:00.678958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:33:00.766566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 7571
75.7%
수입 2429
 
24.3%

신고유형(제조방식)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
직접생산
6425 
<NA>
2441 
ODM
669 
OEM
 
432
직접생산, OEM
 
17
Other values (4)
 
16

Length

Max length10
Median length4
Mean length3.9062
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
직접생산 6425
64.2%
<NA> 2441
 
24.4%
ODM 669
 
6.7%
OEM 432
 
4.3%
직접생산, OEM 17
 
0.2%
직접생산, ODM 6
 
0.1%
ODM, OEM 5
 
0.1%
직접생산, 직접생산 4
 
< 0.1%
ODM, ODM 1
 
< 0.1%

Length

2023-12-12T13:33:00.936440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:33:01.062589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직접생산 6456
64.3%
na 2441
 
24.3%
odm 682
 
6.8%
oem 454
 
4.5%

제조국가_수입
Text

MISSING 

Distinct140
Distinct (%)5.8%
Missing7571
Missing (%)75.7%
Memory size156.2 KiB
2023-12-12T13:33:01.316450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length2
Mean length4.1902017
Min length2

Characters and Unicode

Total characters10178
Distinct characters155
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)2.1%

Sample

1st row멕시코
2nd row미국
3rd row일본
4th row미국(U.S.A)
5th row프랑스
ValueCountFrequency (%)
중국 689
27.0%
미국 277
10.9%
일본 146
 
5.7%
영국 125
 
4.9%
미국(u.s.a 122
 
4.8%
중국(china 116
 
4.5%
프랑스 115
 
4.5%
독일 113
 
4.4%
이탈리아 97
 
3.8%
스페인 90
 
3.5%
Other values (109) 661
25.9%
2023-12-12T13:33:01.821911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 1413
 
13.9%
중 805
 
7.9%
( 531
 
5.2%
) 530
 
5.2%
미 423
 
4.2%
일 327
 
3.2%
. 323
 
3.2%
A 317
 
3.1%
스 304
 
3.0%
a 288
 
2.8%
Other values (145) 4917
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5959
58.5%
Uppercase Letter 1390
 
13.7%
Lowercase Letter 1284
 
12.6%
Open Punctuation 531
 
5.2%
Close Punctuation 530
 
5.2%
Other Punctuation 361
 
3.5%
Space Separator 123
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 1413
23.7%
중 805
13.5%
미 423
 
7.1%
일 327
 
5.5%
스 304
 
5.1%
아 227
 
3.8%
본 180
 
3.0%
리 179
 
3.0%
이 174
 
2.9%
프 144
 
2.4%
Other values (94) 1783
29.9%
Uppercase Letter
ValueCountFrequency (%)
A 317
22.8%
U 175
12.6%
S 166
11.9%
C 140
10.1%
I 118
 
8.5%
N 118
 
8.5%
H 51
 
3.7%
J 44
 
3.2%
R 34
 
2.4%
T 33
 
2.4%
Other values (14) 194
14.0%
Lowercase Letter
ValueCountFrequency (%)
a 288
22.4%
n 196
15.3%
i 138
10.7%
h 90
 
7.0%
e 87
 
6.8%
t 68
 
5.3%
l 63
 
4.9%
r 56
 
4.4%
y 53
 
4.1%
d 50
 
3.9%
Other values (12) 195
15.2%
Other Punctuation
ValueCountFrequency (%)
. 323
89.5%
, 38
 
10.5%
Open Punctuation
ValueCountFrequency (%)
( 531
100.0%
Close Punctuation
ValueCountFrequency (%)
) 530
100.0%
Space Separator
ValueCountFrequency (%)
123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5959
58.5%
Latin 2674
26.3%
Common 1545
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 1413
23.7%
중 805
13.5%
미 423
 
7.1%
일 327
 
5.5%
스 304
 
5.1%
아 227
 
3.8%
본 180
 
3.0%
리 179
 
3.0%
이 174
 
2.9%
프 144
 
2.4%
Other values (94) 1783
29.9%
Latin
ValueCountFrequency (%)
A 317
 
11.9%
a 288
 
10.8%
n 196
 
7.3%
U 175
 
6.5%
S 166
 
6.2%
C 140
 
5.2%
i 138
 
5.2%
I 118
 
4.4%
N 118
 
4.4%
h 90
 
3.4%
Other values (36) 928
34.7%
Common
ValueCountFrequency (%)
( 531
34.4%
) 530
34.3%
. 323
20.9%
123
 
8.0%
, 38
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5959
58.5%
ASCII 4219
41.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 1413
23.7%
중 805
13.5%
미 423
 
7.1%
일 327
 
5.5%
스 304
 
5.1%
아 227
 
3.8%
본 180
 
3.0%
리 179
 
3.0%
이 174
 
2.9%
프 144
 
2.4%
Other values (94) 1783
29.9%
ASCII
ValueCountFrequency (%)
( 531
 
12.6%
) 530
 
12.6%
. 323
 
7.7%
A 317
 
7.5%
a 288
 
6.8%
n 196
 
4.6%
U 175
 
4.1%
S 166
 
3.9%
C 140
 
3.3%
i 138
 
3.3%
Other values (41) 1415
33.5%

제조회사_수입
Text

MISSING 

Distinct1419
Distinct (%)58.4%
Missing7571
Missing (%)75.7%
Memory size156.2 KiB
2023-12-12T13:33:02.493159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length145
Median length73
Mean length23.937423
Min length2

Characters and Unicode

Total characters58144
Distinct characters665
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)41.1%

Sample

1st row양키캔들(YANKEE CANDLE COMPANY. INC.)
2nd row에이치피 (HP Inc.)
3rd row코스모 뷰티
4th row케미컬가이(Chemical Guys)
5th row아리스 에스에이에스
ValueCountFrequency (%)
ltd 214
 
2.5%
co 157
 
1.8%
co.,ltd 149
 
1.7%
inc 135
 
1.6%
주식회사 80
 
0.9%
76
 
0.9%
candle 76
 
0.9%
industry 68
 
0.8%
company 67
 
0.8%
technology 59
 
0.7%
Other values (3018) 7456
87.3%
2023-12-12T13:33:03.109365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6126
 
10.5%
( 1568
 
2.7%
) 1566
 
2.7%
n 1501
 
2.6%
a 1420
 
2.4%
e 1382
 
2.4%
o 1259
 
2.2%
i 1228
 
2.1%
이 1105
 
1.9%
t 1076
 
1.9%
Other values (655) 39913
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20226
34.8%
Lowercase Letter 14854
25.5%
Uppercase Letter 11847
20.4%
Space Separator 6126
 
10.5%
Other Punctuation 1748
 
3.0%
Open Punctuation 1569
 
2.7%
Close Punctuation 1567
 
2.7%
Decimal Number 97
 
0.2%
Dash Punctuation 95
 
0.2%
Final Punctuation 5
 
< 0.1%
Other values (3) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1105
 
5.5%
스 1070
 
5.3%
에 625
 
3.1%
리 538
 
2.7%
트 473
 
2.3%
사 377
 
1.9%
프 353
 
1.7%
크 313
 
1.5%
아 294
 
1.5%
라 281
 
1.4%
Other values (580) 14797
73.2%
Lowercase Letter
ValueCountFrequency (%)
n 1501
 
10.1%
a 1420
 
9.6%
e 1382
 
9.3%
o 1259
 
8.5%
i 1228
 
8.3%
t 1076
 
7.2%
r 962
 
6.5%
c 708
 
4.8%
u 685
 
4.6%
d 681
 
4.6%
Other values (16) 3952
26.6%
Uppercase Letter
ValueCountFrequency (%)
A 1058
 
8.9%
C 1007
 
8.5%
I 928
 
7.8%
L 880
 
7.4%
E 828
 
7.0%
N 765
 
6.5%
T 750
 
6.3%
S 746
 
6.3%
O 637
 
5.4%
R 526
 
4.4%
Other values (16) 3722
31.4%
Decimal Number
ValueCountFrequency (%)
2 26
26.8%
9 24
24.7%
0 21
21.6%
1 14
14.4%
3 9
 
9.3%
4 2
 
2.1%
7 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 1071
61.3%
, 523
29.9%
& 118
 
6.8%
' 16
 
0.9%
/ 13
 
0.7%
: 7
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 1568
99.9%
（ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1566
99.9%
） 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 26703
45.9%
Hangul 20229
34.8%
Common 11212
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1105
 
5.5%
스 1070
 
5.3%
에 625
 
3.1%
리 538
 
2.7%
트 473
 
2.3%
사 377
 
1.9%
프 353
 
1.7%
크 313
 
1.5%
아 294
 
1.5%
라 281
 
1.4%
Other values (580) 14800
73.2%
Latin
ValueCountFrequency (%)
n 1501
 
5.6%
a 1420
 
5.3%
e 1382
 
5.2%
o 1259
 
4.7%
i 1228
 
4.6%
t 1076
 
4.0%
A 1058
 
4.0%
C 1007
 
3.8%
r 962
 
3.6%
I 928
 
3.5%
Other values (43) 14882
55.7%
Common
ValueCountFrequency (%)
6126
54.6%
( 1568
 
14.0%
) 1566
 
14.0%
. 1071
 
9.6%
, 523
 
4.7%
& 118
 
1.1%
- 95
 
0.8%
2 26
 
0.2%
9 24
 
0.2%
0 21
 
0.2%
Other values (12) 74
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37906
65.2%
Hangul 20224
34.8%
None 9
 
< 0.1%
Punctuation 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6126
 
16.2%
( 1568
 
4.1%
) 1566
 
4.1%
n 1501
 
4.0%
a 1420
 
3.7%
e 1382
 
3.6%
o 1259
 
3.3%
i 1228
 
3.2%
t 1076
 
2.8%
. 1071
 
2.8%
Other values (61) 19709
52.0%
Hangul
ValueCountFrequency (%)
이 1105
 
5.5%
스 1070
 
5.3%
에 625
 
3.1%
리 538
 
2.7%
트 473
 
2.3%
사 377
 
1.9%
프 353
 
1.7%
크 313
 
1.5%
아 294
 
1.5%
라 281
 
1.4%
Other values (579) 14795
73.2%
Punctuation
ValueCountFrequency (%)
’ 5
100.0%
None
ValueCountFrequency (%)
㈜ 5
55.6%
ª 2
 
22.2%
） 1
 
11.1%
（ 1
 
11.1%

Interactions

2023-12-12T13:32:55.036201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:33:03.223476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO신규 구분대표 구분제형신고유형(제조_수입)신고유형(제조방식)
NO1.0000.9680.9990.0610.1870.125
신규 구분0.9681.0000.5900.0190.0210.157
대표 구분0.9990.5901.0000.0270.1750.155
제형0.0610.0190.0271.0000.0750.131
신고유형(제조_수입)0.1870.0210.1750.0751.000NaN
신고유형(제조방식)0.1250.1570.1550.131NaN1.000
2023-12-12T13:33:03.372633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표 구분신고유형(제조_수입)신규 구분제형신고유형(제조방식)
대표 구분1.0000.1120.4020.0450.116
신고유형(제조_수입)0.1121.0000.0130.1241.000
신규 구분0.4020.0131.0000.0320.118
제형0.0450.1240.0321.0000.083
신고유형(제조방식)0.1161.0000.1180.0831.000
2023-12-12T13:33:03.524135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO신규 구분대표 구분제형신고유형(제조_수입)신고유형(제조방식)
NO1.0000.8460.9660.0360.1440.060
신규 구분0.8461.0000.4020.0320.0130.118
대표 구분0.9660.4021.0000.0450.1120.116
제형0.0360.0320.0451.0000.1240.083
신고유형(제조_수입)0.1440.0130.1120.1241.0001.000
신고유형(제조방식)0.0600.1180.1160.0831.0001.000

Missing values

2023-12-12T13:32:55.211911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:32:55.433011image/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.
2023-12-12T13:32:55.673716image/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

NO상호명제품명신고번호신고증명서 발급일신규 구분대표 구분제형세부_제형신고유형(제조_수입)신고유형(제조방식)제조국가_수입제조회사_수입
2875128752공방뿌리공방뿌리5온즈소이캔들CB21-26-01622021-01-27신규대표비분사형기타(연소형)제조직접생산<NA><NA>
1075110752(주) 한불화농에프케이에이 샤쉐HB22-12-22032022-09-26신규대표비분사형액체형제조직접생산<NA><NA>
2216222163소뉴스튜디오소뉴스튜디오 소이캔들CB22-26-06272022-04-19신규대표분사형연소형제조직접생산<NA><NA>
5496754968(주)아로마무역스마트센트 벤트클립 (미드썸머나잇)FB20-12-25122020-12-16신규파생비분사형액체형수입<NA>멕시코양키캔들(YANKEE CANDLE COMPANY. INC.)
1264712648주식회사 나노에코웨이 (Nano EcoWay)뷰오케이 사이드미러&욕실 친수 코팅제CB21-07-11742021-08-04신규대표분사형분무기형제조직접생산<NA><NA>
6431564316주식회사 파리스센트딥스 차량용디퓨저 그랑포레HB23-12-09932023-05-18신규파생비분사형액체형제조직접생산<NA><NA>
6294862949루리앤라라루리앤라라 캔들 (스모키로즈)HB22-26-13962022-09-29신규파생분사형연소형제조직접생산<NA><NA>
2059020591오브위치오브위치CB21-07-09402021-03-29신규대표비분사형액체형제조직접생산<NA><NA>
8024380244아라인보우(ara_inbow)큐브캔들(블랙체리)CB21-26-14982021-08-30신규파생분사형연소형제조직접생산<NA><NA>
7986379864에이치피코리아 유한회사더블유9064엠에스(W9064MS)HB23-18-00192023-02-23신규파생비분사형카트리지형수입<NA>미국에이치피 (HP Inc.)
NO상호명제품명신고번호신고증명서 발급일신규 구분대표 구분제형세부_제형신고유형(제조_수입)신고유형(제조방식)제조국가_수입제조회사_수입
1857318574(주)갭솔루션엘이디 서페이서 에쓰에프-90DB23-07-00032023-01-05신규대표분사형보충형(스프레이형)제조OEM<NA><NA>
5826858269딥블러쉬 DEEP BLUSH디퓨져 (라튤립)HB22-12-17672022-08-16신규파생비분사형액체형제조직접생산<NA><NA>
4229042291(주)처음처럼새제품스페셜클리너(Special Cleaner)(다목적세정제)CB19-01-03412022-07-28변경대표분사형분무기형제조직접생산<NA><NA>
4293842939주식회사 러프(Rough Co.,Ltd.)디어보틀 사셰 런던/플로리아(Floria)CB21-12-10002021-09-16변경대표비분사형함침물형제조직접생산<NA><NA>
3454134542(주)알레스소낙스 크롬광택제GB21-06-07302021-02-24변경대표비분사형에멀션형수입<NA>독일소낙스
6011660117벨라이뚜케이크캔들(우드 세이지&씨솔트)CB21-26-21892022-04-15신규파생분사형연소형제조직접생산<NA><NA>
2521425215성욱무역큐디 일렉트로닉 클리너(QD ELECTRONIC CLEANER)FB22-02-00302022-04-07신규대표분사형스프레이형수입<NA>미국씨알씨 인더스트리(CRC INDUSTRIES)
7041970420오신꼬망세 웰탑 냥톡톡CB21-13-14312021-10-20신규파생분사형보충형(분무기형),분무기형제조직접생산<NA><NA>
1345513456아이데카화인퍼티EB20-11-00402020-10-12신규대표비분사형기타(점토형)수입<NA>중국광동 본데라 인더스트리(Guangdong Bonderra Industries Co., Ltd)
2770227703주식회사 두성케미스에코클린 블리자드(Ecoclean Blizzard)GB21-01-16322021-07-13신규대표비분사형에멀션형수입<NA>말레이시아오미넌트센드리안버하드