Overview

Dataset statistics

Number of variables14
Number of observations857
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.7 KiB
Average record size in memory113.2 B

Variable types

Numeric1
Categorical9
Text2
DateTime1
Boolean1

Dataset

Description가정용 보일러(1,2종) 환경표지인증현황(기업명, 주소, 상표명, 인증종류, 급배기방식, 순환방식, 사용연료, 인증번호 등) 정보 입니다. 최신정보는 환경표지인증시스템에서 확인 가능합니다.
Author한국환경산업기술원
URLhttps://www.data.go.kr/data/15068035/fileData.do

Alerts

사업자등록번호 is highly overall correlated with 기업명 and 3 other fieldsHigh correlation
공장·사업장 주소 is highly overall correlated with 기업명 and 4 other fieldsHigh correlation
기업명 is highly overall correlated with 인증종류 and 3 other fieldsHigh correlation
본사주소 is highly overall correlated with 기업명 and 3 other fieldsHigh correlation
공장구분 is highly overall correlated with 공장·사업장 주소High correlation
인증종류 is highly overall correlated with 기업명 and 3 other fieldsHigh correlation
인증종류 is highly imbalanced (79.8%)Imbalance
급배기방식 is highly imbalanced (50.1%)Imbalance
공장구분 is highly imbalanced (63.2%)Imbalance
순번 has unique valuesUnique
제품명 has unique valuesUnique
인증번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:25:20.069198
Analysis finished2023-12-12 06:25:21.611436
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct857
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean429
Minimum1
Maximum857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2023-12-12T15:25:21.698200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile43.8
Q1215
median429
Q3643
95-th percentile814.2
Maximum857
Range856
Interquartile range (IQR)428

Descriptive statistics

Standard deviation247.53889
Coefficient of variation (CV)0.57701372
Kurtosis-1.2
Mean429
Median Absolute Deviation (MAD)214
Skewness0
Sum367653
Variance61275.5
MonotonicityStrictly increasing
2023-12-12T15:25:21.848445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
564 1
 
0.1%
566 1
 
0.1%
567 1
 
0.1%
568 1
 
0.1%
569 1
 
0.1%
570 1
 
0.1%
571 1
 
0.1%
572 1
 
0.1%
573 1
 
0.1%
Other values (847) 847
98.8%
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 (%)
857 1
0.1%
856 1
0.1%
855 1
0.1%
854 1
0.1%
853 1
0.1%
852 1
0.1%
851 1
0.1%
850 1
0.1%
849 1
0.1%
848 1
0.1%

기업명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
린나이코리아(주)
315 
(주)귀뚜라미
271 
(주)경동나비엔
190 
대성쎌틱에너시스(주)
71 
(주)알토엔대우
 
7

Length

Max length11
Median length9
Mean length8.2998833
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(주)임코보일러
2nd row린나이코리아(주)
3rd row린나이코리아(주)
4th row린나이코리아(주)
5th row린나이코리아(주)

Common Values

ValueCountFrequency (%)
린나이코리아(주) 315
36.8%
(주)귀뚜라미 271
31.6%
(주)경동나비엔 190
22.2%
대성쎌틱에너시스(주) 71
 
8.3%
(주)알토엔대우 7
 
0.8%
(주)임코보일러 3
 
0.4%

Length

2023-12-12T15:25:22.012458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:22.141754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
린나이코리아(주 315
36.8%
주)귀뚜라미 271
31.6%
주)경동나비엔 190
22.2%
대성쎌틱에너시스(주 71
 
8.3%
주)알토엔대우 7
 
0.8%
주)임코보일러 3
 
0.4%

제품명
Text

UNIQUE 

Distinct857
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-12T15:25:22.727508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length20.745624
Min length10

Characters and Unicode

Total characters17779
Distinct characters81
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

Unique857 ?
Unique (%)100.0%

Sample

1st rowEBP (FF, LNG)
2nd rowR323-10KF (FF, LNG)
3rd rowR331S-10KF (FF, LNG)
4th rowR332S-10KF (FF, LNG)
5th rowR323-13KF (FF, LNG)
ValueCountFrequency (%)
ff 583
22.2%
lpg 395
15.0%
lng 328
 
12.5%
fe 158
 
6.0%
거꾸로 81
 
3.1%
등유 59
 
2.2%
fo 32
 
1.2%
in-eco 23
 
0.9%
콘덴싱 21
 
0.8%
fc 17
 
0.6%
Other values (694) 929
35.4%
2023-12-12T15:25:23.215463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1795
 
10.1%
F 1740
 
9.8%
L 917
 
5.2%
- 889
 
5.0%
3 853
 
4.8%
G 796
 
4.5%
N 788
 
4.4%
( 760
 
4.3%
) 760
 
4.3%
1 745
 
4.2%
Other values (71) 7736
43.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7461
42.0%
Decimal Number 3507
19.7%
Space Separator 1795
 
10.1%
Other Letter 1649
 
9.3%
Dash Punctuation 889
 
5.0%
Open Punctuation 760
 
4.3%
Close Punctuation 760
 
4.3%
Other Punctuation 755
 
4.2%
Lowercase Letter 186
 
1.0%
Connector Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 138
 
8.4%
꾸 138
 
8.4%
로 138
 
8.4%
코 94
 
5.7%
에 94
 
5.7%
윈 94
 
5.7%
파 94
 
5.7%
알 94
 
5.7%
트 94
 
5.7%
콘 85
 
5.2%
Other values (23) 586
35.5%
Uppercase Letter
ValueCountFrequency (%)
F 1740
23.3%
L 917
12.3%
G 796
10.7%
N 788
10.6%
P 510
 
6.8%
C 366
 
4.9%
K 364
 
4.9%
E 355
 
4.8%
R 334
 
4.5%
B 267
 
3.6%
Other values (10) 1024
13.7%
Decimal Number
ValueCountFrequency (%)
3 853
24.3%
1 745
21.2%
0 504
14.4%
5 470
13.4%
2 468
13.3%
6 185
 
5.3%
7 98
 
2.8%
4 97
 
2.8%
8 80
 
2.3%
9 7
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 49
26.3%
c 45
24.2%
o 41
22.0%
n 24
12.9%
k 7
 
3.8%
i 4
 
2.2%
t 4
 
2.2%
u 4
 
2.2%
x 4
 
2.2%
v 4
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 739
97.9%
/ 16
 
2.1%
Space Separator
ValueCountFrequency (%)
1795
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 889
100.0%
Open Punctuation
ValueCountFrequency (%)
( 760
100.0%
Close Punctuation
ValueCountFrequency (%)
) 760
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8483
47.7%
Latin 7647
43.0%
Hangul 1649
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 138
 
8.4%
꾸 138
 
8.4%
로 138
 
8.4%
코 94
 
5.7%
에 94
 
5.7%
윈 94
 
5.7%
파 94
 
5.7%
알 94
 
5.7%
트 94
 
5.7%
콘 85
 
5.2%
Other values (23) 586
35.5%
Latin
ValueCountFrequency (%)
F 1740
22.8%
L 917
12.0%
G 796
10.4%
N 788
10.3%
P 510
 
6.7%
C 366
 
4.8%
K 364
 
4.8%
E 355
 
4.6%
R 334
 
4.4%
B 267
 
3.5%
Other values (20) 1210
15.8%
Common
ValueCountFrequency (%)
1795
21.2%
- 889
10.5%
3 853
10.1%
( 760
9.0%
) 760
9.0%
1 745
8.8%
, 739
8.7%
0 504
 
5.9%
5 470
 
5.5%
2 468
 
5.5%
Other values (8) 500
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16130
90.7%
Hangul 1649
 
9.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1795
 
11.1%
F 1740
 
10.8%
L 917
 
5.7%
- 889
 
5.5%
3 853
 
5.3%
G 796
 
4.9%
N 788
 
4.9%
( 760
 
4.7%
) 760
 
4.7%
1 745
 
4.6%
Other values (38) 6087
37.7%
Hangul
ValueCountFrequency (%)
거 138
 
8.4%
꾸 138
 
8.4%
로 138
 
8.4%
코 94
 
5.7%
에 94
 
5.7%
윈 94
 
5.7%
파 94
 
5.7%
알 94
 
5.7%
트 94
 
5.7%
콘 85
 
5.2%
Other values (23) 586
35.5%

인증종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2종
830 
1종
 
27

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2종
2nd row2종
3rd row2종
4th row2종
5th row2종

Common Values

ValueCountFrequency (%)
2종 830
96.8%
1종 27
 
3.2%

Length

2023-12-12T15:25:23.399829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:23.511982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2종 830
96.8%
1종 27
 
3.2%

급배기방식
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
FF
659 
FE
197 
FE
 
1

Length

Max length3
Median length2
Mean length2.0011669
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
FF 659
76.9%
FE 197
 
23.0%
FE 1
 
0.1%

Length

2023-12-12T15:25:23.632291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:23.783483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ff 659
76.9%
fe 198
 
23.1%

순환방식
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
개방식
498 
차단식
288 
<NA>
71 

Length

Max length4
Median length3
Mean length3.0828471
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row차단식
2nd row개방식
3rd row개방식
4th row개방식
5th row개방식

Common Values

ValueCountFrequency (%)
개방식 498
58.1%
차단식 288
33.6%
<NA> 71
 
8.3%

Length

2023-12-12T15:25:23.929538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:24.078333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개방식 498
58.1%
차단식 288
33.6%
na 71
 
8.3%

사용연료
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
액화석유가스
462 
액화천연가스
324 
등유
71 

Length

Max length6
Median length6
Mean length5.6686114
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
액화석유가스 462
53.9%
액화천연가스 324
37.8%
등유 71
 
8.3%

Length

2023-12-12T15:25:24.246305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:24.392715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
액화석유가스 462
53.9%
액화천연가스 324
37.8%
등유 71
 
8.3%

인증번호
Text

UNIQUE 

Distinct857
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-12T15:25:24.679494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters11141
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique857 ?
Unique (%)100.0%

Sample

1st row제2020-001-00호
2nd row제2020-002-00호
3rd row제2020-002-01호
4th row제2020-002-02호
5th row제2020-003-00호
ValueCountFrequency (%)
제2020-001-00호 1
 
0.1%
제2022-002-00호 1
 
0.1%
제2022-004-00호 1
 
0.1%
제2021-082-04호 1
 
0.1%
제2021-083-04호 1
 
0.1%
제2021-084-04호 1
 
0.1%
제2021-085-04호 1
 
0.1%
제2021-086-04호 1
 
0.1%
제2022-005-00호 1
 
0.1%
제2022-006-00호 1
 
0.1%
Other values (847) 847
98.8%
2023-12-12T15:25:25.102149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3464
31.1%
2 2109
18.9%
- 1714
15.4%
제 857
 
7.7%
호 857
 
7.7%
1 707
 
6.3%
3 410
 
3.7%
4 230
 
2.1%
6 208
 
1.9%
5 189
 
1.7%
Other values (3) 396
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7713
69.2%
Dash Punctuation 1714
 
15.4%
Other Letter 1714
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3464
44.9%
2 2109
27.3%
1 707
 
9.2%
3 410
 
5.3%
4 230
 
3.0%
6 208
 
2.7%
5 189
 
2.5%
8 153
 
2.0%
7 139
 
1.8%
9 104
 
1.3%
Other Letter
ValueCountFrequency (%)
제 857
50.0%
호 857
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1714
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9427
84.6%
Hangul 1714
 
15.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3464
36.7%
2 2109
22.4%
- 1714
18.2%
1 707
 
7.5%
3 410
 
4.3%
4 230
 
2.4%
6 208
 
2.2%
5 189
 
2.0%
8 153
 
1.6%
7 139
 
1.5%
Hangul
ValueCountFrequency (%)
제 857
50.0%
호 857
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9427
84.6%
Hangul 1714
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3464
36.7%
2 2109
22.4%
- 1714
18.2%
1 707
 
7.5%
3 410
 
4.3%
4 230
 
2.4%
6 208
 
2.2%
5 189
 
2.0%
8 153
 
1.6%
7 139
 
1.5%
Hangul
ValueCountFrequency (%)
제 857
50.0%
호 857
50.0%

인증시작일
Date

Distinct69
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
Minimum2020-06-26 00:00:00
Maximum2023-11-21 00:00:00
2023-12-12T15:25:25.268083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:25:25.470682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업자등록번호
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
137-81-00581
315 
390-86-01487
271 
125-81-01234
190 
303-81-04113
71 
122-81-74908
 
7

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row114-81-83901
2nd row137-81-00581
3rd row137-81-00581
4th row137-81-00581
5th row137-81-00581

Common Values

ValueCountFrequency (%)
137-81-00581 315
36.8%
390-86-01487 271
31.6%
125-81-01234 190
22.2%
303-81-04113 71
 
8.3%
122-81-74908 7
 
0.8%
114-81-83901 3
 
0.4%

Length

2023-12-12T15:25:25.644781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:25.779025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
137-81-00581 315
36.8%
390-86-01487 271
31.6%
125-81-01234 190
22.2%
303-81-04113 71
 
8.3%
122-81-74908 7
 
0.8%
114-81-83901 3
 
0.4%

본사주소
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
인천광역시 부평구 백범로 577번길 48
289 
경상북도 청도군 청도읍 월곡2길 34
271 
경기도 평택시 서탄면 수월암길 95
190 
서울특별시 구로구 경인로 662 16층
70 
인천광역시 부평구 백범로577번길 48
 
26
Other values (3)
 
11

Length

Max length30
Median length22
Mean length20.591599
Min length19

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row서울특별시 서초구 방배로 28길 16 (세광빌딩 2층)
2nd row인천광역시 부평구 백범로 577번길 48
3rd row인천광역시 부평구 백범로 577번길 48
4th row인천광역시 부평구 백범로 577번길 48
5th row인천광역시 부평구 백범로 577번길 48

Common Values

ValueCountFrequency (%)
인천광역시 부평구 백범로 577번길 48 289
33.7%
경상북도 청도군 청도읍 월곡2길 34 271
31.6%
경기도 평택시 서탄면 수월암길 95 190
22.2%
서울특별시 구로구 경인로 662 16층 70
 
8.2%
인천광역시 부평구 백범로577번길 48 26
 
3.0%
경기도 화성시 동탄산단9길 23-7 7
 
0.8%
서울특별시 서초구 방배로 28길 16 (세광빌딩 2층) 3
 
0.4%
서울특별시 구로구 경인로 66216층 1
 
0.1%

Length

2023-12-12T15:25:25.943024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:26.097963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 315
 
7.4%
부평구 315
 
7.4%
48 315
 
7.4%
백범로 289
 
6.8%
577번길 289
 
6.8%
경상북도 271
 
6.4%
청도군 271
 
6.4%
청도읍 271
 
6.4%
월곡2길 271
 
6.4%
34 271
 
6.4%
Other values (21) 1379
32.4%

공장·사업장 주소
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
인천광역시 부평구 백범로 577번길 48
289 
경기도 평택시 서탄면 수월암길 95
190 
경상북도 청도군 청도읍 월곡2길 34
157 
충청남도 아산시 탕정면 음봉로 850
112 
충청북도 음성군 삼성면 상곡로 55-72
71 
Other values (4)
38 

Length

Max length56
Median length42
Mean length20.801634
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20 Industrial Way, Rochester, NH03867, USA
2nd row인천광역시 부평구 백범로 577번길 48
3rd row인천광역시 부평구 백범로 577번길 48
4th row인천광역시 부평구 백범로 577번길 48
5th row인천광역시 부평구 백범로 577번길 48

Common Values

ValueCountFrequency (%)
인천광역시 부평구 백범로 577번길 48 289
33.7%
경기도 평택시 서탄면 수월암길 95 190
22.2%
경상북도 청도군 청도읍 월곡2길 34 157
18.3%
충청남도 아산시 탕정면 음봉로 850 112
 
13.1%
충청북도 음성군 삼성면 상곡로 55-72 71
 
8.3%
인천광역시 부평구 백범로577번길 48 26
 
3.0%
경기도 화성시 동탄산단9길 23-7 7
 
0.8%
20 Industrial Way, Rochester, NH03867, USA 3
 
0.4%
No.99 Haibin 5 Road, Tianjin port Free Trade Zone, China 2
 
0.2%

Length

2023-12-12T15:25:26.299864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:26.457116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 315
 
7.4%
48 315
 
7.4%
부평구 315
 
7.4%
백범로 289
 
6.8%
577번길 289
 
6.8%
경기도 197
 
4.6%
평택시 190
 
4.5%
서탄면 190
 
4.5%
수월암길 190
 
4.5%
95 190
 
4.5%
Other values (35) 1785
41.9%

공장구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
1공장
743 
2공장
112 
3공장
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1공장 743
86.7%
2공장 112
 
13.1%
3공장 2
 
0.2%

Length

2023-12-12T15:25:26.639303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:26.742374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1공장 743
86.7%
2공장 112
 
13.1%
3공장 2
 
0.2%

기본제품
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size989.0 B
False
438 
True
419 
ValueCountFrequency (%)
False 438
51.1%
True 419
48.9%
2023-12-12T15:25:26.838280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T15:25:21.218052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:25:26.922632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기업명인증종류급배기방식순환방식사용연료인증시작일사업자등록번호본사주소공장·사업장 주소공장구분기본제품
순번1.0000.4610.1670.2630.1890.4930.9910.4610.5600.5750.2030.571
기업명0.4611.0000.7050.4700.1050.4770.8471.0001.0001.0000.7210.565
인증종류0.1670.7051.0000.0000.0000.1370.6080.7050.6820.5200.0000.165
급배기방식0.2630.4700.0001.0000.0710.7350.6060.4700.3230.4400.2740.101
순환방식0.1890.1050.0000.0711.0000.1510.5610.1050.0860.0850.0290.079
사용연료0.4930.4770.1370.7350.1511.0000.7950.4770.3770.5590.4390.000
인증시작일0.9910.8470.6080.6060.5610.7951.0000.8470.8720.9080.8360.853
사업자등록번호0.4611.0000.7050.4700.1050.4770.8471.0001.0001.0000.7210.565
본사주소0.5601.0000.6820.3230.0860.3770.8721.0001.0000.9750.5330.546
공장·사업장 주소0.5751.0000.5200.4400.0850.5590.9081.0000.9751.0001.0000.422
공장구분0.2030.7210.0000.2740.0290.4390.8360.7210.5331.0001.0000.027
기본제품0.5710.5650.1650.1010.0790.0000.8530.5650.5460.4220.0271.000
2023-12-12T15:25:27.114336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자등록번호사용연료공장·사업장 주소급배기방식순환방식기업명인증종류기본제품본사주소공장구분
사업자등록번호1.0000.2230.9980.2200.0751.0000.5180.4090.9990.401
사용연료0.2231.0000.2940.3910.0970.2230.2260.0000.2590.167
공장·사업장 주소0.9980.2941.0000.2160.0840.9980.5200.4210.9250.996
급배기방식0.2200.3910.2161.0000.0450.2200.0000.1680.2160.090
순환방식0.0750.0970.0840.0451.0000.0750.0000.0500.0640.049
기업명1.0000.2230.9980.2200.0751.0000.5180.4090.9990.401
인증종류0.5180.2260.5200.0000.0000.5181.0000.1060.5170.000
기본제품0.4090.0000.4210.1680.0500.4090.1061.0000.4110.045
본사주소0.9990.2590.9250.2160.0640.9990.5170.4111.0000.398
공장구분0.4010.1670.9960.0900.0490.4010.0000.0450.3981.000
2023-12-12T15:25:27.264018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기업명인증종류급배기방식순환방식사용연료사업자등록번호본사주소공장·사업장 주소공장구분기본제품
순번1.0000.2630.1280.1620.1440.3390.2630.3080.3060.1230.439
기업명0.2631.0000.5180.2200.0750.2231.0000.9990.9980.4010.409
인증종류0.1280.5181.0000.0000.0000.2260.5180.5170.5200.0000.106
급배기방식0.1620.2200.0001.0000.0450.3910.2200.2160.2160.0900.168
순환방식0.1440.0750.0000.0451.0000.0970.0750.0640.0840.0490.050
사용연료0.3390.2230.2260.3910.0971.0000.2230.2590.2940.1670.000
사업자등록번호0.2631.0000.5180.2200.0750.2231.0000.9990.9980.4010.409
본사주소0.3080.9990.5170.2160.0640.2590.9991.0000.9250.3980.411
공장·사업장 주소0.3060.9980.5200.2160.0840.2940.9980.9251.0000.9960.421
공장구분0.1230.4010.0000.0900.0490.1670.4010.3980.9961.0000.045
기본제품0.4390.4090.1060.1680.0500.0000.4090.4110.4210.0451.000

Missing values

2023-12-12T15:25:21.335984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:25:21.527260image/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

순번기업명제품명인증종류급배기방식순환방식사용연료인증번호인증시작일사업자등록번호본사주소공장·사업장 주소공장구분기본제품
01(주)임코보일러EBP (FF, LNG)2종FF차단식액화천연가스제2020-001-00호2020-06-26114-81-83901서울특별시 서초구 방배로 28길 16 (세광빌딩 2층)20 Industrial Way, Rochester, NH03867, USA1공장Y
12린나이코리아(주)R323-10KF (FF, LNG)2종FF개방식액화천연가스제2020-002-00호2020-06-26137-81-00581인천광역시 부평구 백범로 577번길 48인천광역시 부평구 백범로 577번길 481공장Y
23린나이코리아(주)R331S-10KF (FF, LNG)2종FF개방식액화천연가스제2020-002-01호2020-06-26137-81-00581인천광역시 부평구 백범로 577번길 48인천광역시 부평구 백범로 577번길 481공장N
34린나이코리아(주)R332S-10KF (FF, LNG)2종FF개방식액화천연가스제2020-002-02호2020-06-26137-81-00581인천광역시 부평구 백범로 577번길 48인천광역시 부평구 백범로 577번길 481공장N
45린나이코리아(주)R323-13KF (FF, LNG)2종FF개방식액화천연가스제2020-003-00호2020-06-26137-81-00581인천광역시 부평구 백범로 577번길 48인천광역시 부평구 백범로 577번길 481공장Y
56린나이코리아(주)R331S-13KF (FF, LNG)2종FF개방식액화천연가스제2020-003-01호2020-06-26137-81-00581인천광역시 부평구 백범로 577번길 48인천광역시 부평구 백범로 577번길 481공장N
67린나이코리아(주)R332S-13KF (FF, LNG)2종FF개방식액화천연가스제2020-003-02호2020-06-26137-81-00581인천광역시 부평구 백범로 577번길 48인천광역시 부평구 백범로 577번길 481공장N
78린나이코리아(주)R323-25KF (FF, LNG)2종FF개방식액화천연가스제2020-004-00호2020-06-26137-81-00581인천광역시 부평구 백범로 577번길 48인천광역시 부평구 백범로 577번길 481공장Y
89린나이코리아(주)R331S-25KF (FF, LNG)2종FF개방식액화천연가스제2020-004-01호2020-06-26137-81-00581인천광역시 부평구 백범로 577번길 48인천광역시 부평구 백범로 577번길 481공장N
910린나이코리아(주)R332S-25KF (FF, LNG)2종FF개방식액화천연가스제2020-004-02호2020-06-26137-81-00581인천광역시 부평구 백범로 577번길 48인천광역시 부평구 백범로 577번길 481공장N
순번기업명제품명인증종류급배기방식순환방식사용연료인증번호인증시작일사업자등록번호본사주소공장·사업장 주소공장구분기본제품
847848(주)경동나비엔LGB552-20KC2종FE<NA>등유제2023-048-01호2023-10-04125-81-01234경기도 평택시 서탄면 수월암길 95경기도 평택시 서탄면 수월암길 951공장N
848849(주)경동나비엔LGB552-20KD2종FE<NA>등유제2023-048-02호2023-10-04125-81-01234경기도 평택시 서탄면 수월암길 95경기도 평택시 서탄면 수월암길 951공장N
849850대성쎌틱에너시스(주)DNC3-15D FO LPG2종FF개방식액화석유가스제2023-040-01호2023-10-04303-81-04113서울특별시 구로구 경인로 662 16층충청북도 음성군 삼성면 상곡로 55-721공장N
850851대성쎌틱에너시스(주)DNC3-18D FO LPG2종FF개방식액화석유가스제2023-041-01호2023-10-04303-81-04113서울특별시 구로구 경인로 662 16층충청북도 음성군 삼성면 상곡로 55-721공장N
851852린나이코리아(주)R331-20MEN2종FE개방식액화석유가스제2023-079-00호2023-10-26137-81-00581인천광역시 부평구 백범로577번길 48인천광역시 부평구 백범로577번길 481공장Y
852853린나이코리아(주)R331-20KEN2종FE개방식액화석유가스제2023-080-00호2023-10-26137-81-00581인천광역시 부평구 백범로577번길 48인천광역시 부평구 백범로577번길 481공장Y
853854대성쎌틱에너시스(주)DNB-13S EO LNG2종FE개방식액화천연가스제2023-081-00호2023-11-21303-81-04113서울특별시 구로구 경인로 662 16층충청북도 음성군 삼성면 상곡로 55-721공장Y
854855대성쎌틱에너시스(주)DNC1-27N FO LPG2종FF개방식액화석유가스제2023-082-00호2023-11-21303-81-04113서울특별시 구로구 경인로 662 16층충청북도 음성군 삼성면 상곡로 55-721공장Y
855856린나이코리아(주)R331-30MEN2종FE차단식액화석유가스제2023-083-00호2023-11-21137-81-00581인천광역시 부평구 백범로577번길 48인천광역시 부평구 백범로577번길 481공장Y
856857린나이코리아(주)R331-30KEN2종FE개방식액화석유가스제2023-084-00호2023-11-21137-81-00581인천광역시 부평구 백범로577번길 48인천광역시 부평구 백범로577번길 481공장Y