Overview

Dataset statistics

Number of variables15
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows56
Duplicate rows (%)0.6%
Total size in memory1.2 MiB
Average record size in memory130.0 B

Variable types

Categorical4
Text5
Boolean1
Numeric2
DateTime3

Dataset

Description2023년 11월 기준 환경표지인증시스템의 환경표지인증(마크)을 받은 제품의 인증내역(업체명, 제품명, 용도, 인증사유, 인증시작일, 인증종료일, 공장주소, 사업자번호 등) 정보를 제공합니다.
Author한국환경산업기술원
URLhttps://www.data.go.kr/data/15043624/fileData.do

Alerts

Dataset has 56 (0.6%) duplicate rowsDuplicates
기본제품 is highly overall correlated with 제품구분High correlation
제품구분 is highly overall correlated with 기본제품High correlation
대상제품군 is highly overall correlated with 인증사유High correlation
인증사유 is highly overall correlated with 대상제품군High correlation
대상제품군 is highly imbalanced (56.0%)Imbalance
제품구분 is highly imbalanced (72.7%)Imbalance
기본제품 is highly imbalanced (60.8%)Imbalance
인증사유 is highly imbalanced (55.5%)Imbalance
공장구분 is highly imbalanced (84.1%)Imbalance

Reproduction

Analysis started2023-12-12 04:56:12.746333
Analysis finished2023-12-12 04:56:15.644577
Duration2.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대상제품군
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
EL172.가구
6682 
EL144.개인용 컴퓨터
1220 
EL174.사무용 칸막이
904 
EL175.의자
 
453
EL104.토너카트리지
 
148
Other values (12)
 
593

Length

Max length24
Median length8
Mean length9.4344
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEL144.개인용 컴퓨터
2nd rowEL172.가구
3rd rowEL172.가구
4th rowEL144.개인용 컴퓨터
5th rowEL172.가구

Common Values

ValueCountFrequency (%)
EL172.가구 6682
66.8%
EL144.개인용 컴퓨터 1220
 
12.2%
EL174.사무용 칸막이 904
 
9.0%
EL175.의자 453
 
4.5%
EL104.토너카트리지 148
 
1.5%
EL177.학생용 책상 및 의자 128
 
1.3%
EL147.컴퓨터용 모니터 92
 
0.9%
EL150.문서세단기 74
 
0.7%
EL142.프린터 62
 
0.6%
EL141.복사기 58
 
0.6%
Other values (7) 179
 
1.8%

Length

2023-12-12T13:56:15.736773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
el172.가구 6682
52.3%
el144.개인용 1220
 
9.5%
컴퓨터 1220
 
9.5%
el174.사무용 904
 
7.1%
칸막이 904
 
7.1%
el175.의자 453
 
3.5%
및 169
 
1.3%
el104.토너카트리지 148
 
1.2%
el177.학생용 128
 
1.0%
책상 128
 
1.0%
Other values (17) 823
 
6.4%

업체명
Text

Distinct227
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:56:16.072615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length7.4343
Min length3

Characters and Unicode

Total characters74343
Distinct characters288
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

Unique35 ?
Unique (%)0.4%

Sample

1st row(주)대우루컴즈
2nd row(주)오피스안건사
3rd row(주)아모스아인스가구
4th row(주)대우루컴즈
5th row(주)아모스아인스가구
ValueCountFrequency (%)
주)아모스아인스가구 987
 
9.8%
주)포머스 761
 
7.6%
주)위노스 569
 
5.7%
주)오넥트 393
 
3.9%
주)우드메탈 336
 
3.3%
주)코아스 318
 
3.2%
주)진성아스타 274
 
2.7%
주)투템디자인 274
 
2.7%
주)크로바가구 248
 
2.5%
주)오피스안건사 222
 
2.2%
Other values (226) 5687
56.5%
2023-12-12T13:56:16.562019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 9129
 
12.3%
( 9128
 
12.3%
주 9044
 
12.2%
스 6411
 
8.6%
아 2826
 
3.8%
인 1560
 
2.1%
가 1502
 
2.0%
구 1480
 
2.0%
모 1118
 
1.5%
오 1015
 
1.4%
Other values (278) 31130
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55046
74.0%
Close Punctuation 9129
 
12.3%
Open Punctuation 9128
 
12.3%
Lowercase Letter 450
 
0.6%
Uppercase Letter 440
 
0.6%
Space Separator 69
 
0.1%
Dash Punctuation 41
 
0.1%
Other Punctuation 40
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 9044
 
16.4%
스 6411
 
11.6%
아 2826
 
5.1%
인 1560
 
2.8%
가 1502
 
2.7%
구 1480
 
2.7%
모 1118
 
2.0%
오 1015
 
1.8%
머 887
 
1.6%
퍼 782
 
1.4%
Other values (240) 28421
51.6%
Uppercase Letter
ValueCountFrequency (%)
A 75
17.0%
C 60
13.6%
F 58
13.2%
L 48
10.9%
O 43
9.8%
E 42
9.5%
S 17
 
3.9%
K 17
 
3.9%
T 17
 
3.9%
N 17
 
3.9%
Other values (8) 46
10.5%
Lowercase Letter
ValueCountFrequency (%)
u 82
18.2%
r 82
18.2%
n 63
14.0%
e 63
14.0%
t 44
9.8%
i 41
9.1%
s 22
 
4.9%
v 22
 
4.9%
a 22
 
4.9%
d 3
 
0.7%
Other values (2) 6
 
1.3%
Other Punctuation
ValueCountFrequency (%)
· 22
55.0%
. 8
 
20.0%
& 6
 
15.0%
, 4
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 9129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9128
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55046
74.0%
Common 18407
 
24.8%
Latin 890
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 9044
 
16.4%
스 6411
 
11.6%
아 2826
 
5.1%
인 1560
 
2.8%
가 1502
 
2.7%
구 1480
 
2.7%
모 1118
 
2.0%
오 1015
 
1.8%
머 887
 
1.6%
퍼 782
 
1.4%
Other values (240) 28421
51.6%
Latin
ValueCountFrequency (%)
u 82
 
9.2%
r 82
 
9.2%
A 75
 
8.4%
n 63
 
7.1%
e 63
 
7.1%
C 60
 
6.7%
F 58
 
6.5%
L 48
 
5.4%
t 44
 
4.9%
O 43
 
4.8%
Other values (20) 272
30.6%
Common
ValueCountFrequency (%)
) 9129
49.6%
( 9128
49.6%
69
 
0.4%
- 41
 
0.2%
· 22
 
0.1%
. 8
 
< 0.1%
& 6
 
< 0.1%
, 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55046
74.0%
ASCII 19275
 
25.9%
None 22
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 9129
47.4%
( 9128
47.4%
u 82
 
0.4%
r 82
 
0.4%
A 75
 
0.4%
69
 
0.4%
n 63
 
0.3%
e 63
 
0.3%
C 60
 
0.3%
F 58
 
0.3%
Other values (27) 466
 
2.4%
Hangul
ValueCountFrequency (%)
주 9044
 
16.4%
스 6411
 
11.6%
아 2826
 
5.1%
인 1560
 
2.8%
가 1502
 
2.7%
구 1480
 
2.7%
모 1118
 
2.0%
오 1015
 
1.8%
머 887
 
1.6%
퍼 782
 
1.4%
Other values (240) 28421
51.6%
None
ValueCountFrequency (%)
· 22
100.0%

제품명
Text

Distinct9352
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:56:16.928625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length9.3618
Min length1

Characters and Unicode

Total characters93618
Distinct characters247
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9288 ?
Unique (%)92.9%

Sample

1st rowDS3613
2nd rowAG-C
3rd rowAMHH-122H
4th rowDT3615
5th rowAMHH-2005F
ValueCountFrequency (%)
ag-b 89
 
0.8%
ag-c 68
 
0.6%
ag-a 65
 
0.6%
am7d 47
 
0.4%
am6d 38
 
0.4%
aa6d 33
 
0.3%
tn 32
 
0.3%
dt3765 22
 
0.2%
imagerunner 20
 
0.2%
sk 18
 
0.2%
Other values (9523) 10208
95.9%
2023-12-12T13:56:17.467346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8049
 
8.6%
1 8044
 
8.6%
0 8000
 
8.5%
2 5855
 
6.3%
S 3956
 
4.2%
D 3620
 
3.9%
C 3530
 
3.8%
M 3422
 
3.7%
A 3304
 
3.5%
5 3114
 
3.3%
Other values (237) 42724
45.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 43261
46.2%
Decimal Number 38598
41.2%
Dash Punctuation 8049
 
8.6%
Lowercase Letter 1555
 
1.7%
Other Letter 1019
 
1.1%
Space Separator 774
 
0.8%
Close Punctuation 120
 
0.1%
Open Punctuation 120
 
0.1%
Other Punctuation 91
 
0.1%
Connector Punctuation 16
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 45
 
4.4%
단 45
 
4.4%
지 37
 
3.6%
문 36
 
3.5%
서 33
 
3.2%
사 29
 
2.8%
용 26
 
2.6%
기 25
 
2.5%
복 25
 
2.5%
세 24
 
2.4%
Other values (163) 694
68.1%
Uppercase Letter
ValueCountFrequency (%)
S 3956
 
9.1%
D 3620
 
8.4%
C 3530
 
8.2%
M 3422
 
7.9%
A 3304
 
7.6%
T 2744
 
6.3%
B 2295
 
5.3%
L 2270
 
5.2%
F 1954
 
4.5%
E 1722
 
4.0%
Other values (16) 14444
33.4%
Lowercase Letter
ValueCountFrequency (%)
e 199
12.8%
o 125
 
8.0%
a 125
 
8.0%
r 120
 
7.7%
n 108
 
6.9%
i 95
 
6.1%
g 91
 
5.9%
s 87
 
5.6%
l 67
 
4.3%
p 62
 
4.0%
Other values (14) 476
30.6%
Decimal Number
ValueCountFrequency (%)
1 8044
20.8%
0 8000
20.7%
2 5855
15.2%
5 3114
 
8.1%
6 2886
 
7.5%
3 2877
 
7.5%
4 2710
 
7.0%
8 2332
 
6.0%
7 1871
 
4.8%
9 909
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 60
65.9%
, 29
31.9%
: 2
 
2.2%
Close Punctuation
ValueCountFrequency (%)
) 118
98.3%
] 2
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 118
98.3%
[ 2
 
1.7%
Other Symbol
ValueCountFrequency (%)
㎡ 9
90.0%
★ 1
 
10.0%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
× 2
40.0%
Dash Punctuation
ValueCountFrequency (%)
- 8049
100.0%
Space Separator
ValueCountFrequency (%)
774
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47783
51.0%
Latin 44816
47.9%
Hangul 1019
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 45
 
4.4%
단 45
 
4.4%
지 37
 
3.6%
문 36
 
3.5%
서 33
 
3.2%
사 29
 
2.8%
용 26
 
2.6%
기 25
 
2.5%
복 25
 
2.5%
세 24
 
2.4%
Other values (163) 694
68.1%
Latin
ValueCountFrequency (%)
S 3956
 
8.8%
D 3620
 
8.1%
C 3530
 
7.9%
M 3422
 
7.6%
A 3304
 
7.4%
T 2744
 
6.1%
B 2295
 
5.1%
L 2270
 
5.1%
F 1954
 
4.4%
E 1722
 
3.8%
Other values (40) 15999
35.7%
Common
ValueCountFrequency (%)
- 8049
16.8%
1 8044
16.8%
0 8000
16.7%
2 5855
12.3%
5 3114
 
6.5%
6 2886
 
6.0%
3 2877
 
6.0%
4 2710
 
5.7%
8 2332
 
4.9%
7 1871
 
3.9%
Other values (14) 2045
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92587
98.9%
Hangul 1019
 
1.1%
CJK Compat 9
 
< 0.1%
None 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8049
 
8.7%
1 8044
 
8.7%
0 8000
 
8.6%
2 5855
 
6.3%
S 3956
 
4.3%
D 3620
 
3.9%
C 3530
 
3.8%
M 3422
 
3.7%
A 3304
 
3.6%
5 3114
 
3.4%
Other values (61) 41693
45.0%
Hangul
ValueCountFrequency (%)
이 45
 
4.4%
단 45
 
4.4%
지 37
 
3.6%
문 36
 
3.5%
서 33
 
3.2%
사 29
 
2.8%
용 26
 
2.6%
기 25
 
2.5%
복 25
 
2.5%
세 24
 
2.4%
Other values (163) 694
68.1%
CJK Compat
ValueCountFrequency (%)
㎡ 9
100.0%
None
ValueCountFrequency (%)
× 2
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

제품구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
8858 
Y
 
420
NBN
 
364
YBN
 
340
YBY
 
11

Length

Max length3
Median length1
Mean length1.1444
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYBN
2nd rowNBN
3rd rowN
4th rowYBN
5th rowN

Common Values

ValueCountFrequency (%)
N 8858
88.6%
Y 420
 
4.2%
NBN 364
 
3.6%
YBN 340
 
3.4%
YBY 11
 
0.1%
NBY 7
 
0.1%

Length

2023-12-12T13:56:17.626444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:56:17.742166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 8858
88.6%
y 420
 
4.2%
nbn 364
 
3.6%
ybn 340
 
3.4%
yby 11
 
0.1%
nby 7
 
0.1%

기본제품
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9229 
True
 
771
ValueCountFrequency (%)
False 9229
92.3%
True 771
 
7.7%
2023-12-12T13:56:17.864164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

용도
Text

Distinct206
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:56:18.131128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length10.4901
Min length4

Characters and Unicode

Total characters104901
Distinct characters187
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)0.5%

Sample

1st row탁상형 컴퓨터(슬림형)
2nd row어린이용 목제 가구(사물함)
3rd row목제 가구(사물함)
4th row탁상형 컴퓨터(타워형)
5th row목제 가구(사물함)
ValueCountFrequency (%)
목제 6106
27.9%
가구(사물함 2203
 
10.1%
금속제 1221
 
5.6%
탁상형 1151
 
5.3%
가구(책상 1016
 
4.6%
사무용 910
 
4.2%
칸막이 903
 
4.1%
가구(캐비닛 713
 
3.3%
컴퓨터(타워형 594
 
2.7%
가구(탁자 568
 
2.6%
Other values (189) 6491
29.7%
2023-12-12T13:56:18.634511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11899
 
11.3%
( 8468
 
8.1%
) 8468
 
8.1%
제 7796
 
7.4%
가 6942
 
6.6%
구 6840
 
6.5%
목 6264
 
6.0%
사 3198
 
3.0%
형 2629
 
2.5%
상 2546
 
2.4%
Other values (177) 39851
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74754
71.3%
Space Separator 11899
 
11.3%
Open Punctuation 8468
 
8.1%
Close Punctuation 8468
 
8.1%
Decimal Number 436
 
0.4%
Other Punctuation 395
 
0.4%
Uppercase Letter 359
 
0.3%
Lowercase Letter 62
 
0.1%
Other Symbol 58
 
0.1%
Other Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 7796
 
10.4%
가 6942
 
9.3%
구 6840
 
9.2%
목 6264
 
8.4%
사 3198
 
4.3%
형 2629
 
3.5%
상 2546
 
3.4%
함 2247
 
3.0%
물 2204
 
2.9%
책 1878
 
2.5%
Other values (153) 32210
43.1%
Decimal Number
ValueCountFrequency (%)
0 191
43.8%
1 64
 
14.7%
5 52
 
11.9%
7 39
 
8.9%
2 38
 
8.7%
4 16
 
3.7%
6 15
 
3.4%
8 12
 
2.8%
9 6
 
1.4%
3 3
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
D 97
27.0%
L 94
26.2%
W 74
20.6%
E 67
18.7%
C 27
 
7.5%
Other Punctuation
ValueCountFrequency (%)
, 335
84.8%
/ 60
 
15.2%
Lowercase Letter
ValueCountFrequency (%)
g 60
96.8%
m 2
 
3.2%
Space Separator
ValueCountFrequency (%)
11899
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8468
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8468
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 58
100.0%
Other Number
ValueCountFrequency (%)
² 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74754
71.3%
Common 29726
 
28.3%
Latin 421
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 7796
 
10.4%
가 6942
 
9.3%
구 6840
 
9.2%
목 6264
 
8.4%
사 3198
 
4.3%
형 2629
 
3.5%
상 2546
 
3.4%
함 2247
 
3.0%
물 2204
 
2.9%
책 1878
 
2.5%
Other values (153) 32210
43.1%
Common
ValueCountFrequency (%)
11899
40.0%
( 8468
28.5%
) 8468
28.5%
, 335
 
1.1%
0 191
 
0.6%
1 64
 
0.2%
/ 60
 
0.2%
㎡ 58
 
0.2%
5 52
 
0.2%
7 39
 
0.1%
Other values (7) 92
 
0.3%
Latin
ValueCountFrequency (%)
D 97
23.0%
L 94
22.3%
W 74
17.6%
E 67
15.9%
g 60
14.3%
C 27
 
6.4%
m 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74754
71.3%
ASCII 30087
28.7%
CJK Compat 58
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11899
39.5%
( 8468
28.1%
) 8468
28.1%
, 335
 
1.1%
0 191
 
0.6%
D 97
 
0.3%
L 94
 
0.3%
W 74
 
0.2%
E 67
 
0.2%
1 64
 
0.2%
Other values (12) 330
 
1.1%
Hangul
ValueCountFrequency (%)
제 7796
 
10.4%
가 6942
 
9.3%
구 6840
 
9.2%
목 6264
 
8.4%
사 3198
 
4.3%
형 2629
 
3.5%
상 2546
 
3.4%
함 2247
 
3.0%
물 2204
 
2.9%
책 1878
 
2.5%
Other values (153) 32210
43.1%
CJK Compat
ValueCountFrequency (%)
㎡ 58
100.0%
None
ValueCountFrequency (%)
² 2
100.0%

인증사유
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
자원순환성 향상, 유해물질 감소, 생활 환경오염 감소
6657 
에너지 절약, 소음·진동 감소
1265 
유해물질 감소
1073 
자원순환성 향상, 유해물질 감소
 
318
유해물질 감소, 생활 환경오염 감소
 
166
Other values (10)
 
521

Length

Max length40
Median length29
Mean length24.2371
Min length6

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row에너지 절약, 소음·진동 감소
2nd row자원순환성 향상, 유해물질 감소, 생활 환경오염 감소
3rd row자원순환성 향상, 유해물질 감소, 생활 환경오염 감소
4th row에너지 절약, 소음·진동 감소
5th row자원순환성 향상, 유해물질 감소, 생활 환경오염 감소

Common Values

ValueCountFrequency (%)
자원순환성 향상, 유해물질 감소, 생활 환경오염 감소 6657
66.6%
에너지 절약, 소음·진동 감소 1265
 
12.7%
유해물질 감소 1073
 
10.7%
자원순환성 향상, 유해물질 감소 318
 
3.2%
유해물질 감소, 생활 환경오염 감소 166
 
1.7%
에너지 절약, 지구 환경오염 감소, 생활 환경오염 감소, 소음·진동 감소 107
 
1.1%
에너지 절약 92
 
0.9%
지역 환경오염 감소, 유해물질 감소 89
 
0.9%
자원순환성 향상, 에너지 절약, 유해물질 감소, 소음·진동 감소 74
 
0.7%
자원순환성 향상, 지역 환경오염 감소 69
 
0.7%
Other values (5) 90
 
0.9%

Length

2023-12-12T13:56:18.832747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
감소 17196
29.1%
유해물질 8462
14.3%
환경오염 7258
12.3%
자원순환성 7189
12.2%
향상 7189
12.2%
생활 6930
11.7%
에너지 1557
 
2.6%
절약 1557
 
2.6%
소음·진동 1465
 
2.5%
지역 217
 
0.4%
Other values (2) 122
 
0.2%

인증번호
Real number (ℝ)

Distinct697
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22081.708
Minimum3341
Maximum29504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:56:19.006874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3341
5-th percentile10202
Q118925
median24793
Q327475
95-th percentile28809
Maximum29504
Range26163
Interquartile range (IQR)8550

Descriptive statistics

Standard deviation6403.2826
Coefficient of variation (CV)0.28998131
Kurtosis-0.4135788
Mean22081.708
Median Absolute Deviation (MAD)3384
Skewness-0.89643684
Sum2.2081708 × 108
Variance41002028
MonotonicityNot monotonic
2023-12-12T13:56:19.201137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27475 511
 
5.1%
26306 274
 
2.7%
25894 255
 
2.5%
20160 252
 
2.5%
27647 252
 
2.5%
12465 230
 
2.3%
28350 222
 
2.2%
24793 185
 
1.8%
27315 178
 
1.8%
10588 149
 
1.5%
Other values (687) 7492
74.9%
ValueCountFrequency (%)
3341 20
 
0.2%
4721 58
0.6%
4813 3
 
< 0.1%
4943 1
 
< 0.1%
5057 10
 
0.1%
5069 2
 
< 0.1%
6402 28
0.3%
6679 1
 
< 0.1%
7011 1
 
< 0.1%
7526 36
0.4%
ValueCountFrequency (%)
29504 5
0.1%
29498 2
 
< 0.1%
29487 3
 
< 0.1%
29469 2
 
< 0.1%
29457 1
 
< 0.1%
29445 1
 
< 0.1%
29439 1
 
< 0.1%
29419 9
0.1%
29397 1
 
< 0.1%
29388 3
 
< 0.1%

최초인증일
Date

Distinct485
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2005-07-28 00:00:00
Maximum2023-11-29 00:00:00
2023-12-12T13:56:19.394949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:56:19.573148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증시작일
Date

Distinct398
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-12-04 00:00:00
Maximum2023-11-29 00:00:00
2023-12-12T13:56:19.743379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:56:19.935051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증종료일
Date

Distinct423
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-03 00:00:00
Maximum2026-11-28 00:00:00
2023-12-12T13:56:20.099968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:56:20.293439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업자번호
Real number (ℝ)

Distinct227
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5490052 × 109
Minimum1.0181459 × 109
Maximum8.728602 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:56:20.471392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0181459 × 109
5-th percentile1.0686499 × 109
Q11.2727999 × 109
median1.3681149 × 109
Q34.1021366 × 109
95-th percentile7.2381001 × 109
Maximum8.728602 × 109
Range7.7104561 × 109
Interquartile range (IQR)2.8293367 × 109

Descriptive statistics

Standard deviation1.9098014 × 109
Coefficient of variation (CV)0.74923401
Kurtosis0.26051547
Mean2.5490052 × 109
Median Absolute Deviation (MAD)2.8932296 × 108
Skewness1.2546901
Sum2.5490052 × 1013
Variance3.6473415 × 1018
MonotonicityNot monotonic
2023-12-12T13:56:20.678435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1368114947 987
 
9.9%
5158136523 761
 
7.6%
2108125460 569
 
5.7%
1378189252 393
 
3.9%
1328128395 336
 
3.4%
1178109929 318
 
3.2%
1258133492 274
 
2.7%
7478101112 274
 
2.7%
1278639798 248
 
2.5%
1078158840 222
 
2.2%
Other values (217) 5618
56.2%
ValueCountFrequency (%)
1018145895 37
 
0.4%
1018165760 7
 
0.1%
1018644305 11
 
0.1%
1048195832 2
 
< 0.1%
1048658322 6
 
0.1%
1058646120 209
2.1%
1068165222 25
 
0.2%
1068166269 19
 
0.2%
1068607983 7
 
0.1%
1068617410 46
 
0.5%
ValueCountFrequency (%)
8728601960 1
 
< 0.1%
8568701024 8
 
0.1%
8498200191 2
 
< 0.1%
8368801648 3
 
< 0.1%
7788200069 17
 
0.2%
7688600473 1
 
< 0.1%
7678800251 1
 
< 0.1%
7638100721 29
 
0.3%
7478101112 274
2.7%
7418100060 10
 
0.1%

본사지역구분
Text

Distinct77
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:56:20.985328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.8878
Min length6

Characters and Unicode

Total characters78878
Distinct characters82
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row경기도 용인시
2nd row서울특별시 강서구
3rd row인천광역시 서구
4th row경기도 용인시
5th row인천광역시 서구
ValueCountFrequency (%)
경기도 4619
23.1%
서울특별시 1501
 
7.5%
인천광역시 1490
 
7.4%
서구 1327
 
6.6%
경상북도 882
 
4.4%
포천시 859
 
4.3%
파주시 834
 
4.2%
경산시 833
 
4.2%
남양주시 506
 
2.5%
양주시 450
 
2.2%
Other values (77) 6699
33.5%
2023-12-12T13:56:21.413283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 10301
13.1%
10000
 
12.7%
경 6508
 
8.3%
도 6055
 
7.7%
기 4676
 
5.9%
구 4424
 
5.6%
서 3610
 
4.6%
광 2851
 
3.6%
천 2663
 
3.4%
역 2427
 
3.1%
Other values (72) 25363
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68850
87.3%
Space Separator 10000
 
12.7%
Decimal Number 12
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 10301
15.0%
경 6508
 
9.5%
도 6055
 
8.8%
기 4676
 
6.8%
구 4424
 
6.4%
서 3610
 
5.2%
광 2851
 
4.1%
천 2663
 
3.9%
역 2427
 
3.5%
주 2112
 
3.1%
Other values (65) 23223
33.7%
Decimal Number
ValueCountFrequency (%)
3 8
66.7%
1 4
33.3%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
. 4
50.0%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68850
87.3%
Common 10020
 
12.7%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 10301
15.0%
경 6508
 
9.5%
도 6055
 
8.8%
기 4676
 
6.8%
구 4424
 
6.4%
서 3610
 
5.2%
광 2851
 
4.1%
천 2663
 
3.9%
역 2427
 
3.5%
주 2112
 
3.1%
Other values (65) 23223
33.7%
Common
ValueCountFrequency (%)
10000
99.8%
3 8
 
0.1%
, 4
 
< 0.1%
1 4
 
< 0.1%
. 4
 
< 0.1%
Latin
ValueCountFrequency (%)
o 4
50.0%
N 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68850
87.3%
ASCII 10028
 
12.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 10301
15.0%
경 6508
 
9.5%
도 6055
 
8.8%
기 4676
 
6.8%
구 4424
 
6.4%
서 3610
 
5.2%
광 2851
 
4.1%
천 2663
 
3.9%
역 2427
 
3.5%
주 2112
 
3.1%
Other values (65) 23223
33.7%
ASCII
ValueCountFrequency (%)
10000
99.7%
3 8
 
0.1%
, 4
 
< 0.1%
1 4
 
< 0.1%
. 4
 
< 0.1%
o 4
 
< 0.1%
N 4
 
< 0.1%

공장지역구분
Text

Distinct134
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:56:21.776417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length30
Mean length7.8718
Min length5

Characters and Unicode

Total characters78718
Distinct characters138
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)0.3%

Sample

1st row경기도 용인시
2nd row경기도 김포시
3rd row인천광역시 서구
4th row경기도 용인시
5th row인천광역시 서구
ValueCountFrequency (%)
경기도 5301
26.5%
인천광역시 1945
 
9.7%
서구 1713
 
8.6%
파주시 1275
 
6.4%
경상북도 1110
 
5.6%
경산시 1043
 
5.2%
포천시 900
 
4.5%
남양주시 555
 
2.8%
김포시 482
 
2.4%
양주시 456
 
2.3%
Other values (169) 5217
26.1%
2023-12-12T13:56:22.330313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
12.7%
시 9572
 
12.2%
경 7596
 
9.6%
도 6939
 
8.8%
기 5354
 
6.8%
광 3191
 
4.1%
천 2984
 
3.8%
구 2978
 
3.8%
주 2697
 
3.4%
역 2644
 
3.4%
Other values (128) 24763
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64803
82.3%
Space Separator 10000
 
12.7%
Lowercase Letter 2484
 
3.2%
Uppercase Letter 1299
 
1.7%
Open Punctuation 36
 
< 0.1%
Close Punctuation 34
 
< 0.1%
Other Punctuation 30
 
< 0.1%
Decimal Number 20
 
< 0.1%
Dash Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9572
14.8%
경 7596
11.7%
도 6939
 
10.7%
기 5354
 
8.3%
광 3191
 
4.9%
천 2984
 
4.6%
구 2978
 
4.6%
주 2697
 
4.2%
역 2644
 
4.1%
인 2264
 
3.5%
Other values (60) 18584
28.7%
Lowercase Letter
ValueCountFrequency (%)
n 389
15.7%
a 277
11.2%
i 252
10.1%
o 248
10.0%
e 180
7.2%
c 167
 
6.7%
u 164
 
6.6%
r 131
 
5.3%
t 129
 
5.2%
h 111
 
4.5%
Other values (16) 436
17.6%
Uppercase Letter
ValueCountFrequency (%)
I 116
 
8.9%
N 109
 
8.4%
E 106
 
8.2%
F 104
 
8.0%
C 88
 
6.8%
L 67
 
5.2%
M 67
 
5.2%
S 64
 
4.9%
G 56
 
4.3%
J 54
 
4.2%
Other values (15) 468
36.0%
Decimal Number
ValueCountFrequency (%)
2 5
25.0%
1 4
20.0%
3 2
 
10.0%
7 2
 
10.0%
4 2
 
10.0%
8 2
 
10.0%
5 1
 
5.0%
6 1
 
5.0%
0 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 18
60.0%
, 9
30.0%
& 2
 
6.7%
/ 1
 
3.3%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64803
82.3%
Common 10132
 
12.9%
Latin 3783
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9572
14.8%
경 7596
11.7%
도 6939
 
10.7%
기 5354
 
8.3%
광 3191
 
4.9%
천 2984
 
4.6%
구 2978
 
4.6%
주 2697
 
4.2%
역 2644
 
4.1%
인 2264
 
3.5%
Other values (60) 18584
28.7%
Latin
ValueCountFrequency (%)
n 389
 
10.3%
a 277
 
7.3%
i 252
 
6.7%
o 248
 
6.6%
e 180
 
4.8%
c 167
 
4.4%
u 164
 
4.3%
r 131
 
3.5%
t 129
 
3.4%
I 116
 
3.1%
Other values (41) 1730
45.7%
Common
ValueCountFrequency (%)
10000
98.7%
( 36
 
0.4%
) 34
 
0.3%
. 18
 
0.2%
- 12
 
0.1%
, 9
 
0.1%
2 5
 
< 0.1%
1 4
 
< 0.1%
& 2
 
< 0.1%
3 2
 
< 0.1%
Other values (7) 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64803
82.3%
ASCII 13915
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
71.9%
n 389
 
2.8%
a 277
 
2.0%
i 252
 
1.8%
o 248
 
1.8%
e 180
 
1.3%
c 167
 
1.2%
u 164
 
1.2%
r 131
 
0.9%
t 129
 
0.9%
Other values (58) 1978
 
14.2%
Hangul
ValueCountFrequency (%)
시 9572
14.8%
경 7596
11.7%
도 6939
 
10.7%
기 5354
 
8.3%
광 3191
 
4.9%
천 2984
 
4.6%
구 2978
 
4.6%
주 2697
 
4.2%
역 2644
 
4.1%
인 2264
 
3.5%
Other values (60) 18584
28.7%

공장구분
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1공장
8730 
2공장
 
673
5공장
 
296
4공장
 
122
3공장
 
35
Other values (35)
 
144

Length

Max length4
Median length3
Mean length3.013
Min length3

Unique

Unique11 ?
Unique (%)0.1%

Sample

1st row2공장
2nd row1공장
3rd row1공장
4th row2공장
5th row1공장

Common Values

ValueCountFrequency (%)
1공장 8730
87.3%
2공장 673
 
6.7%
5공장 296
 
3.0%
4공장 122
 
1.2%
3공장 35
 
0.4%
24공장 15
 
0.1%
37공장 15
 
0.1%
16공장 12
 
0.1%
11공장 10
 
0.1%
45공장 8
 
0.1%
Other values (30) 84
 
0.8%

Length

2023-12-12T13:56:22.536833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1공장 8730
87.3%
2공장 673
 
6.7%
5공장 296
 
3.0%
4공장 122
 
1.2%
3공장 35
 
0.4%
24공장 15
 
0.1%
37공장 15
 
0.1%
16공장 12
 
0.1%
11공장 10
 
0.1%
45공장 8
 
0.1%
Other values (30) 84
 
0.8%

Interactions

2023-12-12T13:56:14.969370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:56:14.708141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:56:15.094256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:56:14.833980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:56:22.660856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상제품군제품구분기본제품인증사유인증번호사업자번호본사지역구분공장구분
대상제품군1.0000.4790.4530.9570.4080.4320.8970.813
제품구분0.4791.0001.0000.4410.2880.1780.6790.392
기본제품0.4531.0001.0000.4040.2010.1520.5140.400
인증사유0.9570.4410.4041.0000.4510.4280.8920.799
인증번호0.4080.2880.2010.4511.0000.6650.8600.298
사업자번호0.4320.1780.1520.4280.6651.0000.9630.242
본사지역구분0.8970.6790.5140.8920.8600.9631.0000.851
공장구분0.8130.3920.4000.7990.2980.2420.8511.000
2023-12-12T13:56:23.156674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기본제품공장구분대상제품군인증사유제품구분
기본제품1.0000.3190.4080.3691.000
공장구분0.3191.0000.3620.3600.181
대상제품군0.4080.3621.0000.7530.249
인증사유0.3690.3600.7531.0000.223
제품구분1.0000.1810.2490.2231.000
2023-12-12T13:56:23.347917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증번호사업자번호대상제품군제품구분기본제품인증사유공장구분
인증번호1.000-0.0990.1710.1560.1550.1890.099
사업자번호-0.0991.0000.1830.0940.1160.1740.080
대상제품군0.1710.1831.0000.2490.4080.7530.362
제품구분0.1560.0940.2491.0001.0000.2230.181
기본제품0.1550.1160.4081.0001.0000.3690.319
인증사유0.1890.1740.7530.2230.3691.0000.360
공장구분0.0990.0800.3620.1810.3190.3601.000

Missing values

2023-12-12T13:56:15.269305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:56:15.512903image/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

대상제품군업체명제품명제품구분기본제품용도인증사유인증번호최초인증일인증시작일인증종료일사업자번호본사지역구분공장지역구분공장구분
6917EL144.개인용 컴퓨터(주)대우루컴즈DS3613YBNY탁상형 컴퓨터(슬림형)에너지 절약, 소음·진동 감소286782023-04-252023-04-252026-04-241058646120경기도 용인시경기도 용인시2공장
39446EL172.가구(주)오피스안건사AG-CNBNN어린이용 목제 가구(사물함)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소283502023-01-262023-01-262026-01-251078158840서울특별시 강서구경기도 김포시1공장
28451EL172.가구(주)아모스아인스가구AMHH-122HNN목제 가구(사물함)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소258942021-12-222021-12-222024-12-211368114947인천광역시 서구인천광역시 서구1공장
7135EL144.개인용 컴퓨터(주)대우루컴즈DT3615YBNY탁상형 컴퓨터(타워형)에너지 절약, 소음·진동 감소286782023-04-252023-04-252026-04-241058646120경기도 용인시경기도 용인시2공장
28296EL172.가구(주)아모스아인스가구AMHH-2005FNN목제 가구(사물함)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소258942021-12-222021-12-222024-12-211368114947인천광역시 서구인천광역시 서구1공장
31925EL172.가구(주)뉴퍼스CJ17-S209NN목제 가구(신발장)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소269882022-06-132022-06-132025-06-121248750490경기도 화성시경기도 화성시1공장
37192EL172.가구(주)힘멜SPZB018ANN목제 가구(크레덴자)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소279022022-10-282022-10-282025-10-271288167502경기도 파주시경기도 파주시2공장
16595EL172.가구(주)아모스아인스가구AMAST-2406JGNNN목제 가구(열람대)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소174692017-08-242021-09-132024-08-231368114947인천광역시 서구인천광역시 서구1공장
18403EL172.가구(주)포머스FMCT-P015NN목제 가구(캐비닛)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소201602019-06-032021-06-032024-06-025158136523경상북도 경산시경상북도 경산시1공장
10309EL172.가구(주)아모스아인스가구AMHC-833NN목제 가구(캐비닛)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소105882013-03-182021-03-182024-03-171368114947인천광역시 서구인천광역시 서구1공장
대상제품군업체명제품명제품구분기본제품용도인증사유인증번호최초인증일인증시작일인증종료일사업자번호본사지역구분공장지역구분공장구분
4996EL144.개인용 컴퓨터(주)성주컴텍DD310-GAL33XYY탁상형 컴퓨터(타워형, 망 분리 듀얼)에너지 절약, 소음·진동 감소267402022-05-022022-05-022025-05-011068680913서울특별시 구로구서울특별시 구로구5공장
30898EL172.가구(주)청송퍼니처CSSR331212GNN목제 가구(신발장)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소263452022-03-012022-03-012025-02-285108801407경기도 파주시경기도 파주시1공장
26780EL172.가구(주)청송퍼니처CSDP1475NN목제 가구(책상)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소254862021-11-032021-11-032024-11-025108801407경기도 파주시경기도 파주시1공장
6437EL144.개인용 컴퓨터위메이드 보호작업장ADS-S22M5V5NN탁상형 컴퓨터(슬림형)에너지 절약, 소음·진동 감소281152022-12-052022-12-052025-12-045258200408경기도 고양시경기도 고양시1공장
42930EL172.가구(주)우드메탈WCT-706-2NN목제 가구(탁자)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소93372012-01-312022-05-022025-01-301328128395경기도 남양주시경기도 남양주시1공장
44453EL174.사무용 칸막이(주)포머스DBP102MBANN금속제 사무용 칸막이유해물질 감소120232014-04-282022-05-302025-04-275158136523경상북도 경산시경상북도 경산시1공장
45069EL174.사무용 칸막이(주)코아스MMD221YY목제 사무용 칸막이자원순환성 향상, 유해물질 감소, 생활 환경오염 감소175182017-09-012021-09-012024-08-311178109929서울특별시 영등포구경기도 파주시1공장
25514EL172.가구(주)크로바가구CLV-920NN목제 가구(신발장)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소247932021-07-262021-07-262024-07-251278639798경기도 양주시경기도 양주시1공장
16464EL172.가구(주)아모스아인스가구AMHLC-612NN목제 가구(기구장)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소174692017-08-242021-09-132024-08-231368114947인천광역시 서구인천광역시 서구1공장
13498EL172.가구(주)아모스아인스가구AMDD-403NN목제 가구(서랍)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소124652014-08-012022-09-192025-07-311368114947인천광역시 서구인천광역시 서구1공장

Duplicate rows

Most frequently occurring

대상제품군업체명제품명제품구분기본제품용도인증사유인증번호최초인증일인증시작일인증종료일사업자번호본사지역구분공장지역구분공장구분# duplicates
44EL172.가구(주)오피스안건사AG-BNBNN어린이용 목제 가구(사물함)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소283502023-01-262023-01-262026-01-251078158840서울특별시 강서구경기도 김포시1공장89
45EL172.가구(주)오피스안건사AG-CNBNN어린이용 목제 가구(사물함)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소283502023-01-262023-01-262026-01-251078158840서울특별시 강서구경기도 김포시1공장67
43EL172.가구(주)오피스안건사AG-AYBNY어린이용 목제 가구(사물함)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소283502023-01-262023-01-262026-01-251078158840서울특별시 강서구경기도 김포시1공장64
38EL172.가구(주)아모스아인스가구AM7DNBNN목제 가구(책상)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소124652014-08-012022-09-192025-07-311368114947인천광역시 서구인천광역시 서구1공장47
36EL172.가구(주)아모스아인스가구AM6DNBNN목제 가구(책상)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소124652014-08-012022-09-192025-07-311368114947인천광역시 서구인천광역시 서구1공장38
34EL172.가구(주)아모스아인스가구AA6DNBNN목제 가구(책상)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소124652014-08-012022-09-192025-07-311368114947인천광역시 서구인천광역시 서구1공장33
49EL172.가구튼튼기업TNYBNY목제 가구(사물함)자원순환성 향상, 유해물질 감소, 생활 환경오염 감소288632023-06-202023-06-202026-06-191272799877경기도 포천시경기도 포천시1공장32
13EL144.개인용 컴퓨터(주)대우루컴즈DT3765YBNY탁상형 컴퓨터(타워형)에너지 절약, 소음·진동 감소286782023-04-252023-04-252026-04-241058646120경기도 용인시경기도 용인시2공장21
17EL144.개인용 컴퓨터(주)레드스톤시스템DMYNBNN탁상형 컴퓨터(타워형)에너지 절약, 소음·진동 감소288092023-06-072023-06-072026-06-061068649926서울특별시 용산구경기도 고양시5공장16
16EL144.개인용 컴퓨터(주)레드스톤시스템CSYNBNN탁상형 컴퓨터(슬림형)에너지 절약, 소음·진동 감소288092023-06-072023-06-072026-06-061068649926서울특별시 용산구경기도 고양시5공장15