Overview

Dataset statistics

Number of variables7
Number of observations120
Missing cells2
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory57.1 B

Variable types

Categorical1
Text5
DateTime1

Dataset

Description경상남도 거제시 제조업 공장등록현황(단지명, 회사명, 주소, 전화번호, 생산품, 업종명, 기준일자)에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://www.data.go.kr/data/15106750/fileData.do

Alerts

기준일자 has constant value ""Constant
단지명 is highly imbalanced (80.6%)Imbalance
전화번호 has 2 (1.7%) missing valuesMissing
회사명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:52:20.058208
Analysis finished2023-12-11 22:52:20.874434
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단지명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
113 
거제오비일반산업단지
 
5
거제모사일반산업단지
 
1
옥포국가산업단지
 
1

Length

Max length10
Median length4
Mean length4.3333333
Min length4

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 113
94.2%
거제오비일반산업단지 5
 
4.2%
거제모사일반산업단지 1
 
0.8%
옥포국가산업단지 1
 
0.8%

Length

2023-12-12T07:52:20.961232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:52:21.076910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
94.2%
거제오비일반산업단지 5
 
4.2%
거제모사일반산업단지 1
 
0.8%
옥포국가산업단지 1
 
0.8%

회사명
Text

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T07:52:21.293711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.45
Min length2

Characters and Unicode

Total characters1014
Distinct characters186
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

Unique120 ?
Unique (%)100.0%

Sample

1st row(주)거제전통메주
2nd row(주)건화
3rd row(주)광성산업
4th row(주)금하네이벌텍
5th row(주)금화
ValueCountFrequency (%)
주식회사 20
 
12.4%
농업회사법인 3
 
1.9%
건화공업(주 2
 
1.2%
주)삼녹 2
 
1.2%
신화기업(주 2
 
1.2%
아스콘공장 2
 
1.2%
주)새한레미콘 2
 
1.2%
주)제일레미콘 2
 
1.2%
한내공장 2
 
1.2%
광도기업 2
 
1.2%
Other values (118) 122
75.8%
2023-12-12T07:52:21.747177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 95
 
9.4%
( 70
 
6.9%
) 70
 
6.9%
41
 
4.0%
업 36
 
3.6%
공 30
 
3.0%
식 29
 
2.9%
사 29
 
2.9%
회 26
 
2.6%
산 24
 
2.4%
Other values (176) 564
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 809
79.8%
Open Punctuation 70
 
6.9%
Close Punctuation 70
 
6.9%
Space Separator 41
 
4.0%
Uppercase Letter 14
 
1.4%
Decimal Number 8
 
0.8%
Other Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 95
 
11.7%
업 36
 
4.4%
공 30
 
3.7%
식 29
 
3.6%
사 29
 
3.6%
회 26
 
3.2%
산 24
 
3.0%
장 20
 
2.5%
제 19
 
2.3%
이 18
 
2.2%
Other values (159) 483
59.7%
Uppercase Letter
ValueCountFrequency (%)
G 3
21.4%
F 2
14.3%
N 2
14.3%
E 2
14.3%
S 1
 
7.1%
B 1
 
7.1%
A 1
 
7.1%
P 1
 
7.1%
M 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
1 2
25.0%
3 2
25.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 810
79.9%
Common 190
 
18.7%
Latin 14
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 95
 
11.7%
업 36
 
4.4%
공 30
 
3.7%
식 29
 
3.6%
사 29
 
3.6%
회 26
 
3.2%
산 24
 
3.0%
장 20
 
2.5%
제 19
 
2.3%
이 18
 
2.2%
Other values (160) 484
59.8%
Latin
ValueCountFrequency (%)
G 3
21.4%
F 2
14.3%
N 2
14.3%
E 2
14.3%
S 1
 
7.1%
B 1
 
7.1%
A 1
 
7.1%
P 1
 
7.1%
M 1
 
7.1%
Common
ValueCountFrequency (%)
( 70
36.8%
) 70
36.8%
41
21.6%
2 4
 
2.1%
1 2
 
1.1%
3 2
 
1.1%
& 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 809
79.8%
ASCII 204
 
20.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 95
 
11.7%
업 36
 
4.4%
공 30
 
3.7%
식 29
 
3.6%
사 29
 
3.6%
회 26
 
3.2%
산 24
 
3.0%
장 20
 
2.5%
제 19
 
2.3%
이 18
 
2.2%
Other values (159) 483
59.7%
ASCII
ValueCountFrequency (%)
( 70
34.3%
) 70
34.3%
41
20.1%
2 4
 
2.0%
G 3
 
1.5%
F 2
 
1.0%
N 2
 
1.0%
E 2
 
1.0%
1 2
 
1.0%
3 2
 
1.0%
Other values (6) 6
 
2.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

공장지번주소
Text

Distinct117
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T07:52:22.147580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22.733333
Min length16

Characters and Unicode

Total characters2728
Distinct characters91
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)95.0%

Sample

1st row경상남도 거제시 동부면 부춘리 781번지
2nd row경상남도 거제시 연초면 한내리 777번지
3rd row경상남도 거제시 연초면 오비리 1164-9번지
4th row경상남도 거제시 하청면 실전리 1052-1번지
5th row경상남도 거제시 사등면 청곡리 204번지
ValueCountFrequency (%)
경상남도 120
20.2%
거제시 120
20.2%
연초면 39
 
6.6%
사등면 28
 
4.7%
오비리 24
 
4.0%
사등리 12
 
2.0%
한내리 11
 
1.9%
거제면 9
 
1.5%
하청면 9
 
1.5%
둔덕면 8
 
1.3%
Other values (164) 214
36.0%
2023-12-12T07:52:22.678840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
474
17.4%
거 129
 
4.7%
제 129
 
4.7%
지 123
 
4.5%
상 122
 
4.5%
시 121
 
4.4%
경 120
 
4.4%
남 120
 
4.4%
도 120
 
4.4%
번 115
 
4.2%
Other values (81) 1155
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1761
64.6%
Space Separator 474
 
17.4%
Decimal Number 425
 
15.6%
Dash Punctuation 62
 
2.3%
Other Punctuation 4
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 129
 
7.3%
제 129
 
7.3%
지 123
 
7.0%
상 122
 
6.9%
시 121
 
6.9%
경 120
 
6.8%
남 120
 
6.8%
도 120
 
6.8%
번 115
 
6.5%
면 107
 
6.1%
Other values (66) 555
31.5%
Decimal Number
ValueCountFrequency (%)
1 105
24.7%
2 53
12.5%
7 46
10.8%
0 42
 
9.9%
6 35
 
8.2%
4 35
 
8.2%
5 32
 
7.5%
3 29
 
6.8%
8 26
 
6.1%
9 22
 
5.2%
Space Separator
ValueCountFrequency (%)
474
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1761
64.6%
Common 967
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 129
 
7.3%
제 129
 
7.3%
지 123
 
7.0%
상 122
 
6.9%
시 121
 
6.9%
경 120
 
6.8%
남 120
 
6.8%
도 120
 
6.8%
번 115
 
6.5%
면 107
 
6.1%
Other values (66) 555
31.5%
Common
ValueCountFrequency (%)
474
49.0%
1 105
 
10.9%
- 62
 
6.4%
2 53
 
5.5%
7 46
 
4.8%
0 42
 
4.3%
6 35
 
3.6%
4 35
 
3.6%
5 32
 
3.3%
3 29
 
3.0%
Other values (5) 54
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1761
64.6%
ASCII 967
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
474
49.0%
1 105
 
10.9%
- 62
 
6.4%
2 53
 
5.5%
7 46
 
4.8%
0 42
 
4.3%
6 35
 
3.6%
4 35
 
3.6%
5 32
 
3.3%
3 29
 
3.0%
Other values (5) 54
 
5.6%
Hangul
ValueCountFrequency (%)
거 129
 
7.3%
제 129
 
7.3%
지 123
 
7.0%
상 122
 
6.9%
시 121
 
6.9%
경 120
 
6.8%
남 120
 
6.8%
도 120
 
6.8%
번 115
 
6.5%
면 107
 
6.1%
Other values (66) 555
31.5%

전화번호
Text

MISSING 

Distinct107
Distinct (%)90.7%
Missing2
Missing (%)1.7%
Memory size1.1 KiB
2023-12-12T07:52:22.977249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.008475
Min length12

Characters and Unicode

Total characters1417
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)81.4%

Sample

1st row055-633-2270
2nd row055-639-5300
3rd row055-632-7333
4th row051-664-8200
5th row055-638-2974
ValueCountFrequency (%)
055-634-0991 2
 
1.7%
055-636-1964 2
 
1.7%
055-633-0034 2
 
1.7%
055-633-8200 2
 
1.7%
055-638-3227 2
 
1.7%
055-687-0039 2
 
1.7%
055-633-4960 2
 
1.7%
055-636-6434 2
 
1.7%
055-636-0056 2
 
1.7%
055-633-3340 2
 
1.7%
Other values (97) 98
83.1%
2023-12-12T07:52:23.422632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 289
20.4%
- 236
16.7%
0 214
15.1%
3 178
12.6%
6 176
12.4%
2 80
 
5.6%
4 56
 
4.0%
7 55
 
3.9%
1 52
 
3.7%
8 44
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1181
83.3%
Dash Punctuation 236
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 289
24.5%
0 214
18.1%
3 178
15.1%
6 176
14.9%
2 80
 
6.8%
4 56
 
4.7%
7 55
 
4.7%
1 52
 
4.4%
8 44
 
3.7%
9 37
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1417
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 289
20.4%
- 236
16.7%
0 214
15.1%
3 178
12.6%
6 176
12.4%
2 80
 
5.6%
4 56
 
4.0%
7 55
 
3.9%
1 52
 
3.7%
8 44
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1417
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 289
20.4%
- 236
16.7%
0 214
15.1%
3 178
12.6%
6 176
12.4%
2 80
 
5.6%
4 56
 
4.0%
7 55
 
3.9%
1 52
 
3.7%
8 44
 
3.1%

생산품
Text

Distinct91
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T07:52:23.665289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length26
Mean length8.5083333
Min length2

Characters and Unicode

Total characters1021
Distinct characters233
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)66.7%

Sample

1st row메주，두부，장류
2nd row선박구성부분품，도장및기타피막처리업
3rd row금속공작물
4th row복합센서마스트，여객용 선박 등
5th row선박구성부분품(계측관)
ValueCountFrequency (%)
선박구성부분품 10
 
5.7%
철의장품 8
 
4.6%
레미콘 5
 
2.9%
등 5
 
2.9%
선박 4
 
2.3%
및 4
 
2.3%
pipe 3
 
1.7%
spool 3
 
1.7%
액젖류 3
 
1.7%
구성 3
 
1.7%
Other values (117) 127
72.6%
2023-12-12T07:52:24.079617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
 
5.4%
품 49
 
4.8%
， 39
 
3.8%
선 36
 
3.5%
부 34
 
3.3%
박 29
 
2.8%
구 27
 
2.6%
분 23
 
2.3%
성 21
 
2.1%
조 19
 
1.9%
Other values (223) 689
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 789
77.3%
Uppercase Letter 109
 
10.7%
Space Separator 55
 
5.4%
Other Punctuation 42
 
4.1%
Open Punctuation 13
 
1.3%
Close Punctuation 13
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 49
 
6.2%
선 36
 
4.6%
부 34
 
4.3%
박 29
 
3.7%
구 27
 
3.4%
분 23
 
2.9%
성 21
 
2.7%
조 19
 
2.4%
용 13
 
1.6%
기 13
 
1.6%
Other values (198) 525
66.5%
Uppercase Letter
ValueCountFrequency (%)
E 14
12.8%
P 14
12.8%
O 13
11.9%
L 11
10.1%
S 9
8.3%
C 8
 
7.3%
I 6
 
5.5%
B 5
 
4.6%
A 4
 
3.7%
K 4
 
3.7%
Other values (9) 21
19.3%
Other Punctuation
ValueCountFrequency (%)
， 39
92.9%
. 2
 
4.8%
/ 1
 
2.4%
Space Separator
ValueCountFrequency (%)
55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 789
77.3%
Common 123
 
12.0%
Latin 109
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 49
 
6.2%
선 36
 
4.6%
부 34
 
4.3%
박 29
 
3.7%
구 27
 
3.4%
분 23
 
2.9%
성 21
 
2.7%
조 19
 
2.4%
용 13
 
1.6%
기 13
 
1.6%
Other values (198) 525
66.5%
Latin
ValueCountFrequency (%)
E 14
12.8%
P 14
12.8%
O 13
11.9%
L 11
10.1%
S 9
8.3%
C 8
 
7.3%
I 6
 
5.5%
B 5
 
4.6%
A 4
 
3.7%
K 4
 
3.7%
Other values (9) 21
19.3%
Common
ValueCountFrequency (%)
55
44.7%
， 39
31.7%
( 13
 
10.6%
) 13
 
10.6%
. 2
 
1.6%
/ 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 789
77.3%
ASCII 193
 
18.9%
None 39
 
3.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
28.5%
E 14
 
7.3%
P 14
 
7.3%
O 13
 
6.7%
( 13
 
6.7%
) 13
 
6.7%
L 11
 
5.7%
S 9
 
4.7%
C 8
 
4.1%
I 6
 
3.1%
Other values (14) 37
19.2%
Hangul
ValueCountFrequency (%)
품 49
 
6.2%
선 36
 
4.6%
부 34
 
4.3%
박 29
 
3.7%
구 27
 
3.4%
분 23
 
2.9%
성 21
 
2.7%
조 19
 
2.4%
용 13
 
1.6%
기 13
 
1.6%
Other values (198) 525
66.5%
None
ValueCountFrequency (%)
， 39
100.0%

업종명
Text

Distinct58
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T07:52:24.378420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length16.783333
Min length6

Characters and Unicode

Total characters2014
Distinct characters134
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)35.0%

Sample

1st row장류 제조업 외 1 종
2nd row선박 구성 부분품 제조업 외 1 종
3rd row구조용 금속 판제품 및 공작물 제조업 외 5 종
4th row선박 구성 부분품 제조업 외 3 종
5th row선박 구성 부분품 제조업
ValueCountFrequency (%)
제조업 118
18.5%
외 47
 
7.4%
선박 42
 
6.6%
부분품 41
 
6.4%
구성 41
 
6.4%
종 39
 
6.1%
및 37
 
5.8%
1 20
 
3.1%
수산동물 15
 
2.4%
기타 14
 
2.2%
Other values (96) 224
35.1%
2023-12-12T07:52:24.811373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
518
25.7%
조 160
 
7.9%
제 147
 
7.3%
업 123
 
6.1%
품 81
 
4.0%
구 55
 
2.7%
외 47
 
2.3%
선 43
 
2.1%
성 43
 
2.1%
분 43
 
2.1%
Other values (124) 754
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1446
71.8%
Space Separator 518
 
25.7%
Decimal Number 41
 
2.0%
Other Punctuation 9
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 160
 
11.1%
제 147
 
10.2%
업 123
 
8.5%
품 81
 
5.6%
구 55
 
3.8%
외 47
 
3.3%
선 43
 
3.0%
성 43
 
3.0%
분 43
 
3.0%
부 42
 
2.9%
Other values (116) 662
45.8%
Decimal Number
ValueCountFrequency (%)
1 22
53.7%
3 9
22.0%
2 5
 
12.2%
7 3
 
7.3%
6 1
 
2.4%
5 1
 
2.4%
Space Separator
ValueCountFrequency (%)
518
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1446
71.8%
Common 568
 
28.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 160
 
11.1%
제 147
 
10.2%
업 123
 
8.5%
품 81
 
5.6%
구 55
 
3.8%
외 47
 
3.3%
선 43
 
3.0%
성 43
 
3.0%
분 43
 
3.0%
부 42
 
2.9%
Other values (116) 662
45.8%
Common
ValueCountFrequency (%)
518
91.2%
1 22
 
3.9%
, 9
 
1.6%
3 9
 
1.6%
2 5
 
0.9%
7 3
 
0.5%
6 1
 
0.2%
5 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1446
71.8%
ASCII 568
 
28.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
518
91.2%
1 22
 
3.9%
, 9
 
1.6%
3 9
 
1.6%
2 5
 
0.9%
7 3
 
0.5%
6 1
 
0.2%
5 1
 
0.2%
Hangul
ValueCountFrequency (%)
조 160
 
11.1%
제 147
 
10.2%
업 123
 
8.5%
품 81
 
5.6%
구 55
 
3.8%
외 47
 
3.3%
선 43
 
3.0%
성 43
 
3.0%
분 43
 
3.0%
부 42
 
2.9%
Other values (116) 662
45.8%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2022-08-31 00:00:00
Maximum2022-08-31 00:00:00
2023-12-12T07:52:24.948728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:52:25.031789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T07:52:25.107877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명생산품업종명
단지명1.0001.0001.000
생산품1.0001.0000.997
업종명1.0000.9971.000

Missing values

2023-12-12T07:52:20.690108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:52:20.828193image/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

단지명회사명공장지번주소전화번호생산품업종명기준일자
0<NA>(주)거제전통메주경상남도 거제시 동부면 부춘리 781번지055-633-2270메주，두부，장류장류 제조업 외 1 종2022-08-31
1거제모사일반산업단지(주)건화경상남도 거제시 연초면 한내리 777번지055-639-5300선박구성부분품，도장및기타피막처리업선박 구성 부분품 제조업 외 1 종2022-08-31
2<NA>(주)광성산업경상남도 거제시 연초면 오비리 1164-9번지055-632-7333금속공작물구조용 금속 판제품 및 공작물 제조업 외 5 종2022-08-31
3<NA>(주)금하네이벌텍경상남도 거제시 하청면 실전리 1052-1번지051-664-8200복합센서마스트，여객용 선박 등선박 구성 부분품 제조업 외 3 종2022-08-31
4<NA>(주)금화경상남도 거제시 사등면 청곡리 204번지055-638-2974선박구성부분품(계측관)선박 구성 부분품 제조업2022-08-31
5<NA>(주)네오하이텍경상남도 거제시 사등면 성포리 367-6번지055-637-4622LED 조명일반용 전기 조명장치 제조업2022-08-31
6<NA>(주)대기공업경상남도 거제시 사등면 사등리 1-3번지055-636-1462선박구성부분품선박 구성 부분품 제조업2022-08-31
7<NA>(주)대성쏠라경상남도 거제시 양정동 100번지055-633-1009태양광 구조물육상 금속 골조 구조재 제조업 외 3 종2022-08-31
8<NA>(주)대아경상남도 거제시 연초면 오비리 1197번지055-637-2059금속제 창(새시)금속 문, 창, 셔터 및 관련제품 제조업2022-08-31
9<NA>(주)대현경상남도 거제시 연초면 오비리 163-2번지055-632-2830크레인기타 물품 취급장비 제조업2022-08-31
단지명회사명공장지번주소전화번호생산품업종명기준일자
110<NA>청해수산영어조합법인경상남도 거제시 거제면 내간리 50-7번지055-632-6667젖갈류수산동물 건조 및 염장품 제조업2022-08-31
111<NA>칠성식품경상남도 거제시 둔덕면 어구리 7번지055-633-2502액젖류수산동물 건조 및 염장품 제조업2022-08-31
112<NA>케이에이치엠티(주)A공장경상남도 거제시 하청면 실전리 1062번지055-639-5200선박구성품(DECK HOUSE，HATCH COVER，MEGA BLOCK)선박 구성 부분품 제조업2022-08-31
113<NA>하나단열경상남도 거제시 거제면 명진리 267-1번지055-634-5511암면제품암면 및 유사제품 제조업 외 1 종2022-08-31
114<NA>하이에어코리아(주)경상남도 거제시 사등면 지석리 628번지055-346-3500원형통풍관및연결부분품그 외 기타 일반목적용 기계 제조업 외 1 종2022-08-31
115<NA>한미산업(주)경상남도 거제시 사등면 사곡리 697번지055-635-4005광고물，금속구조물구조용 금속 판제품 및 공작물 제조업 외 3 종2022-08-31
116<NA>해금강수산식품경상남도 거제시 둔덕면 하둔리 580번지055-633-0129멸치액젓수산동물 건조 및 염장품 제조업2022-08-31
117<NA>해원경상남도 거제시 사등면 지석리 651번지055-633-4960배관용 파이프선박 구성 부분품 제조업2022-08-31
118<NA>호진산업(주)경상남도 거제시 연초면 한내리 120-8번지055-633-2708철의장품선박 구성 부분품 제조업2022-08-31
119<NA>효진수산경상남도 거제시 장목면 장목리 368-17번지055-636-6318수산물절임 젓갈수산동물 건조 및 염장품 제조업2022-08-31