Overview

Dataset statistics

Number of variables8
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory67.5 B

Variable types

Categorical3
Text5

Dataset

Description2023년 4월 18일 기준, 경상남도 산청군 산업단지 현황 정보입니다. (단지구분, 업체명, 대표자명, 소재지, 전화번호, 생산품)
URLhttps://www.data.go.kr/data/3064774/fileData.do

Alerts

담당부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:43:09.726056
Analysis finished2023-12-12 07:43:10.321867
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
산청금서농공단지
14 
산청차탄농공단지
산청금서제2농공단지
산청매촌제2일반산업단지
산청매촌일반산업단지

Length

Max length12
Median length8
Mean length8.8421053
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
산청금서농공단지 14
36.8%
산청차탄농공단지 9
23.7%
산청금서제2농공단지 8
21.1%
산청매촌제2일반산업단지 3
 
7.9%
산청매촌일반산업단지 2
 
5.3%
산청화현농공단지 2
 
5.3%

Length

2023-12-12T16:43:10.393192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:43:10.537645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산청금서농공단지 14
36.8%
산청차탄농공단지 9
23.7%
산청금서제2농공단지 8
21.1%
산청매촌제2일반산업단지 3
 
7.9%
산청매촌일반산업단지 2
 
5.3%
산청화현농공단지 2
 
5.3%

업체명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T16:43:10.750414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length10.157895
Min length4

Characters and Unicode

Total characters386
Distinct characters111
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

Unique38 ?
Unique (%)100.0%

Sample

1st row(주)신선 에프.앤.브이
2nd row(주)아이스올리(1공장)
3rd row(주)아이스올리(2공장)
4th row(주)엔티코리아
5th row(합)동명식품
ValueCountFrequency (%)
주식회사 9
 
16.4%
주)율곡 2
 
3.6%
농업회사법인 2
 
3.6%
합자회사 2
 
3.6%
주)신선 1
 
1.8%
어스앤에어로스페이스 1
 
1.8%
주식회사평림제2공장 1
 
1.8%
영남제과 1
 
1.8%
한국항공우주산업주식회사 1
 
1.8%
주)태양스틸 1
 
1.8%
Other values (34) 34
61.8%
2023-12-12T16:43:11.128231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
8.3%
( 21
 
5.4%
) 21
 
5.4%
20
 
5.2%
19
 
4.9%
17
 
4.4%
16
 
4.1%
12
 
3.1%
11
 
2.8%
10
 
2.6%
Other values (101) 207
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
80.1%
Open Punctuation 23
 
6.0%
Close Punctuation 23
 
6.0%
Space Separator 17
 
4.4%
Decimal Number 9
 
2.3%
Uppercase Letter 3
 
0.8%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
 
10.4%
20
 
6.5%
19
 
6.1%
16
 
5.2%
12
 
3.9%
11
 
3.6%
10
 
3.2%
9
 
2.9%
9
 
2.9%
9
 
2.9%
Other values (89) 162
52.4%
Decimal Number
ValueCountFrequency (%)
2 5
55.6%
1 3
33.3%
3 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
C 1
33.3%
R 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 21
91.3%
[ 2
 
8.7%
Close Punctuation
ValueCountFrequency (%)
) 21
91.3%
] 2
 
8.7%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
80.1%
Common 74
 
19.2%
Latin 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
 
10.4%
20
 
6.5%
19
 
6.1%
16
 
5.2%
12
 
3.9%
11
 
3.6%
10
 
3.2%
9
 
2.9%
9
 
2.9%
9
 
2.9%
Other values (89) 162
52.4%
Common
ValueCountFrequency (%)
( 21
28.4%
) 21
28.4%
17
23.0%
2 5
 
6.8%
1 3
 
4.1%
[ 2
 
2.7%
] 2
 
2.7%
. 2
 
2.7%
3 1
 
1.4%
Latin
ValueCountFrequency (%)
G 1
33.3%
C 1
33.3%
R 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
80.1%
ASCII 77
 
19.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
32
 
10.4%
20
 
6.5%
19
 
6.1%
16
 
5.2%
12
 
3.9%
11
 
3.6%
10
 
3.2%
9
 
2.9%
9
 
2.9%
9
 
2.9%
Other values (89) 162
52.4%
ASCII
ValueCountFrequency (%)
( 21
27.3%
) 21
27.3%
17
22.1%
2 5
 
6.5%
1 3
 
3.9%
[ 2
 
2.6%
] 2
 
2.6%
. 2
 
2.6%
G 1
 
1.3%
C 1
 
1.3%
Other values (2) 2
 
2.6%
Distinct32
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T16:43:11.387154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.3421053
Min length3

Characters and Unicode

Total characters127
Distinct characters55
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

Unique27 ?
Unique (%)71.1%

Sample

1st row이영섭
2nd row구현철
3rd row구현철
4th row엄점태,엄희량
5th row박철진, 박재동
ValueCountFrequency (%)
구현철 3
 
7.3%
황인수 2
 
4.9%
위호철 2
 
4.9%
강동훈 2
 
4.9%
신상현 2
 
4.9%
권영기 1
 
2.4%
이환준 1
 
2.4%
김기석 1
 
2.4%
김강석 1
 
2.4%
강신일 1
 
2.4%
Other values (25) 25
61.0%
2023-12-12T16:43:11.721447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
4.7%
6
 
4.7%
6
 
4.7%
6
 
4.7%
5
 
3.9%
5
 
3.9%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
Other values (45) 77
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
95.3%
Space Separator 3
 
2.4%
Other Punctuation 2
 
1.6%
Decimal Number 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
5.0%
6
 
5.0%
6
 
5.0%
6
 
5.0%
5
 
4.1%
5
 
4.1%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
Other values (42) 71
58.7%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121
95.3%
Common 6
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
5.0%
6
 
5.0%
6
 
5.0%
6
 
5.0%
5
 
4.1%
5
 
4.1%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
Other values (42) 71
58.7%
Common
ValueCountFrequency (%)
3
50.0%
, 2
33.3%
1 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121
95.3%
ASCII 6
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
5.0%
6
 
5.0%
6
 
5.0%
6
 
5.0%
5
 
4.1%
5
 
4.1%
4
 
3.3%
4
 
3.3%
4
 
3.3%
4
 
3.3%
Other values (42) 71
58.7%
ASCII
ValueCountFrequency (%)
3
50.0%
, 2
33.3%
1 1
 
16.7%
Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T16:43:11.949901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length24.052632
Min length22

Characters and Unicode

Total characters914
Distinct characters43
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

Unique34 ?
Unique (%)89.5%

Sample

1st row경상남도 산청군 금서면 친환경로 2462-14
2nd row경상남도 산청군 금서면 친환경로 2461-9
3rd row경상남도 산청군 금서면 친환경로 2461-15
4th row경상남도 산청군 금서면 친환경로 2461
5th row경상남도 산청군 금서면 친환경로 2484-8
ValueCountFrequency (%)
경상남도 38
20.1%
산청군 38
20.1%
금서면 27
14.3%
친환경로 19
10.1%
산수로 9
 
4.8%
산청읍 9
 
4.8%
친환경로2451번길 3
 
1.6%
116-54 2
 
1.1%
생비량면 2
 
1.1%
동의보감로 2
 
1.1%
Other values (38) 40
21.2%
2023-12-12T16:43:12.343130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
16.7%
60
 
6.6%
57
 
6.2%
1 50
 
5.5%
47
 
5.1%
38
 
4.2%
38
 
4.2%
38
 
4.2%
38
 
4.2%
2 35
 
3.8%
Other values (33) 360
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 536
58.6%
Decimal Number 196
 
21.4%
Space Separator 153
 
16.7%
Dash Punctuation 29
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
60
11.2%
57
10.6%
47
 
8.8%
38
 
7.1%
38
 
7.1%
38
 
7.1%
38
 
7.1%
34
 
6.3%
29
 
5.4%
27
 
5.0%
Other values (21) 130
24.3%
Decimal Number
ValueCountFrequency (%)
1 50
25.5%
2 35
17.9%
4 28
14.3%
3 24
12.2%
6 22
11.2%
8 14
 
7.1%
5 10
 
5.1%
7 6
 
3.1%
0 4
 
2.0%
9 3
 
1.5%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 536
58.6%
Common 378
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
60
11.2%
57
10.6%
47
 
8.8%
38
 
7.1%
38
 
7.1%
38
 
7.1%
38
 
7.1%
34
 
6.3%
29
 
5.4%
27
 
5.0%
Other values (21) 130
24.3%
Common
ValueCountFrequency (%)
153
40.5%
1 50
 
13.2%
2 35
 
9.3%
- 29
 
7.7%
4 28
 
7.4%
3 24
 
6.3%
6 22
 
5.8%
8 14
 
3.7%
5 10
 
2.6%
7 6
 
1.6%
Other values (2) 7
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 536
58.6%
ASCII 378
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
40.5%
1 50
 
13.2%
2 35
 
9.3%
- 29
 
7.7%
4 28
 
7.4%
3 24
 
6.3%
6 22
 
5.8%
8 14
 
3.7%
5 10
 
2.6%
7 6
 
1.6%
Other values (2) 7
 
1.9%
Hangul
ValueCountFrequency (%)
60
11.2%
57
10.6%
47
 
8.8%
38
 
7.1%
38
 
7.1%
38
 
7.1%
38
 
7.1%
34
 
6.3%
29
 
5.4%
27
 
5.0%
Other values (21) 130
24.3%
Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T16:43:12.583412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.973684
Min length11

Characters and Unicode

Total characters455
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

Unique28 ?
Unique (%)73.7%

Sample

1st row055-974-0761
2nd row055-974-1031
3rd row055-974-1031
4th row055-974-0188
5th row055-974-0765
ValueCountFrequency (%)
055-972-2013 2
 
5.3%
055-973-7769 2
 
5.3%
055-275-2911 2
 
5.3%
055-974-1031 2
 
5.3%
055-974-7119 2
 
5.3%
055-973-4123 1
 
2.6%
055-973-5675 1
 
2.6%
055-973-8531 1
 
2.6%
02-468-6257 1
 
2.6%
055-974-3127 1
 
2.6%
Other values (23) 23
60.5%
2023-12-12T16:43:12.958969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 89
19.6%
- 76
16.7%
0 59
13.0%
7 53
11.6%
9 48
10.5%
1 31
 
6.8%
2 28
 
6.2%
3 25
 
5.5%
4 20
 
4.4%
6 13
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 379
83.3%
Dash Punctuation 76
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 89
23.5%
0 59
15.6%
7 53
14.0%
9 48
12.7%
1 31
 
8.2%
2 28
 
7.4%
3 25
 
6.6%
4 20
 
5.3%
6 13
 
3.4%
8 13
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 455
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 89
19.6%
- 76
16.7%
0 59
13.0%
7 53
11.6%
9 48
10.5%
1 31
 
6.8%
2 28
 
6.2%
3 25
 
5.5%
4 20
 
4.4%
6 13
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 455
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 89
19.6%
- 76
16.7%
0 59
13.0%
7 53
11.6%
9 48
10.5%
1 31
 
6.8%
2 28
 
6.2%
3 25
 
5.5%
4 20
 
4.4%
6 13
 
2.9%
Distinct34
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T16:43:13.236919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length18
Mean length10.157895
Min length2

Characters and Unicode

Total characters386
Distinct characters161
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)81.6%

Sample

1st row과일젤리 및 통조림, 팝핑보바
2nd row식용얼음
3rd row식용얼음
4th rowPP BAG
5th row국수, 전기
ValueCountFrequency (%)
5
 
6.2%
식용얼음 3
 
3.8%
항공기 3
 
3.8%
부품 3
 
3.8%
용기 2
 
2.5%
플라스틱 2
 
2.5%
내열도기 2
 
2.5%
용접 1
 
1.2%
과자 1
 
1.2%
콘크리트 1
 
1.2%
Other values (57) 57
71.2%
2023-12-12T16:43:13.621713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
10.9%
, 19
 
4.9%
14
 
3.6%
9
 
2.3%
8
 
2.1%
7
 
1.8%
6
 
1.6%
6
 
1.6%
6
 
1.6%
6
 
1.6%
Other values (151) 263
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
75.4%
Space Separator 42
 
10.9%
Uppercase Letter 21
 
5.4%
Other Punctuation 20
 
5.2%
Lowercase Letter 8
 
2.1%
Dash Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Modifier Symbol 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
4.8%
9
 
3.1%
8
 
2.7%
7
 
2.4%
6
 
2.1%
6
 
2.1%
6
 
2.1%
6
 
2.1%
5
 
1.7%
5
 
1.7%
Other values (125) 219
75.3%
Uppercase Letter
ValueCountFrequency (%)
P 4
19.0%
D 3
14.3%
M 3
14.3%
S 2
9.5%
E 2
9.5%
R 1
 
4.8%
O 1
 
4.8%
F 1
 
4.8%
T 1
 
4.8%
G 1
 
4.8%
Other values (2) 2
9.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
r 1
12.5%
y 1
12.5%
s 1
12.5%
t 1
12.5%
e 1
12.5%
m 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 19
95.0%
. 1
 
5.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
75.4%
Common 66
 
17.1%
Latin 29
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
4.8%
9
 
3.1%
8
 
2.7%
7
 
2.4%
6
 
2.1%
6
 
2.1%
6
 
2.1%
6
 
2.1%
5
 
1.7%
5
 
1.7%
Other values (125) 219
75.3%
Latin
ValueCountFrequency (%)
P 4
13.8%
D 3
 
10.3%
M 3
 
10.3%
S 2
 
6.9%
o 2
 
6.9%
E 2
 
6.9%
R 1
 
3.4%
O 1
 
3.4%
F 1
 
3.4%
r 1
 
3.4%
Other values (9) 9
31.0%
Common
ValueCountFrequency (%)
42
63.6%
, 19
28.8%
- 1
 
1.5%
. 1
 
1.5%
) 1
 
1.5%
˙ 1
 
1.5%
( 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
75.4%
ASCII 94
 
24.4%
Modifier Letters 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
44.7%
, 19
20.2%
P 4
 
4.3%
D 3
 
3.2%
M 3
 
3.2%
S 2
 
2.1%
o 2
 
2.1%
E 2
 
2.1%
R 1
 
1.1%
O 1
 
1.1%
Other values (15) 15
 
16.0%
Hangul
ValueCountFrequency (%)
14
 
4.8%
9
 
3.1%
8
 
2.7%
7
 
2.4%
6
 
2.1%
6
 
2.1%
6
 
2.1%
6
 
2.1%
5
 
1.7%
5
 
1.7%
Other values (125) 219
75.3%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
경상남도 산청군청 경제교통과
38 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 산청군청 경제교통과
2nd row경상남도 산청군청 경제교통과
3rd row경상남도 산청군청 경제교통과
4th row경상남도 산청군청 경제교통과
5th row경상남도 산청군청 경제교통과

Common Values

ValueCountFrequency (%)
경상남도 산청군청 경제교통과 38
100.0%

Length

2023-12-12T16:43:13.764514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:43:13.859717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 38
33.3%
산청군청 38
33.3%
경제교통과 38
33.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-4-18
38 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-4-18
2nd row2023-4-18
3rd row2023-4-18
4th row2023-4-18
5th row2023-4-18

Common Values

ValueCountFrequency (%)
2023-4-18 38
100.0%

Length

2023-12-12T16:43:13.954520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:43:14.041945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-4-18 38
100.0%

Correlations

2023-12-12T16:43:14.107035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업체명대표자소재지전화번호생산품
구분1.0001.0000.9871.0001.0000.981
업체명1.0001.0001.0001.0001.0001.000
대표자0.9871.0001.0000.9511.0000.996
소재지1.0001.0000.9511.0000.9570.937
전화번호1.0001.0001.0000.9571.0000.988
생산품0.9811.0000.9960.9370.9881.000

Missing values

2023-12-12T16:43:10.165517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:43:10.280025image/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

구분업체명대표자소재지전화번호생산품담당부서데이터기준일자
0산청금서농공단지(주)신선 에프.앤.브이이영섭경상남도 산청군 금서면 친환경로 2462-14055-974-0761과일젤리 및 통조림, 팝핑보바경상남도 산청군청 경제교통과2023-4-18
1산청금서농공단지(주)아이스올리(1공장)구현철경상남도 산청군 금서면 친환경로 2461-9055-974-1031식용얼음경상남도 산청군청 경제교통과2023-4-18
2산청금서농공단지(주)아이스올리(2공장)구현철경상남도 산청군 금서면 친환경로 2461-15055-974-1031식용얼음경상남도 산청군청 경제교통과2023-4-18
3산청금서농공단지(주)엔티코리아엄점태,엄희량경상남도 산청군 금서면 친환경로 2461055-974-0188PP BAG경상남도 산청군청 경제교통과2023-4-18
4산청금서농공단지(합)동명식품박철진, 박재동경상남도 산청군 금서면 친환경로 2484-8055-974-0765국수, 전기경상남도 산청군청 경제교통과2023-4-18
5산청금서농공단지골인제약주식회사권진현경상남도 산청군 금서면 친환경로 2462-8055-974-0991해독제경상남도 산청군청 경제교통과2023-4-18
6산청금서농공단지구니카주식회사최용명경상남도 산청군 금서면 친환경로 2483055-973-8777장난감경상남도 산청군청 경제교통과2023-4-18
7산청금서농공단지그린파워씨앤에스심규수 외 1경상남도 산청군 금서면 친환경로 2461-16055-972-3385플라스틱 용기, 전력경상남도 산청군청 경제교통과2023-4-18
8산청금서농공단지산청군산림조합(제재2공장)황인수경상남도 산청군 금서면 매촌리-1288번지055-973-7769각재,판재,지주목등경상남도 산청군청 경제교통과2023-4-18
9산청금서농공단지산청군산림조합(제재공장)황인수경상남도 산청군 금서면 친환경로 2485055-973-7769목재가공경상남도 산청군청 경제교통과2023-4-18
구분업체명대표자소재지전화번호생산품담당부서데이터기준일자
28산청차탄농공단지(주)디럭스테크놀러지정영시경상남도 산청군 산청읍 산수로 116-19055-973-5476낚시줄경상남도 산청군청 경제교통과2023-4-18
29산청차탄농공단지낙우산업(주)이용민경상남도 산청군 산청읍 산수로 116-54055-972-9922황토분말, 물탱크, 정기이온정수기,상하수도정화장비 및 정수,처리장치, 포수조절기 하우징˙실린더등 용접경상남도 산청군청 경제교통과2023-4-18
30산청차탄농공단지성동기업(주)이동숙경상남도 산청군 산청읍 산수로 116-28055-974-0727콘크리트관경상남도 산청군청 경제교통과2023-4-18
31산청차탄농공단지주식회사 자연과사람들권영기경상남도 산청군 산청읍 산수로 116-11055-974-3127캠핑용 장작경상남도 산청군청 경제교통과2023-4-18
32산청차탄농공단지주식회사 진경엔텍강승혜경상남도 산청군 산청읍 산수로 116-5402-468-6257상하수도 폐수처리기계 및 제어품경상남도 산청군청 경제교통과2023-4-18
33산청차탄농공단지지에스전선(주)강신일경상남도 산청군 산청읍 산수로 116-12055-973-8531전선,마그넷와이트경상남도 산청군청 경제교통과2023-4-18
34산청차탄농공단지한국GRC(주)김강석경상남도 산청군 산청읍 산수로 116-55055-973-5675TS-FORM경상남도 산청군청 경제교통과2023-4-18
35산청차탄농공단지화평산업주식회사김기석경상남도 산청군 산청읍 산수로 116-37055-855-0265콘크리트 맨홀블록경상남도 산청군청 경제교통과2023-4-18
36산청화현농공단지영남제과이호승경상남도 산청군 생비량면 화현리 1665-1번지055-974-3100과자경상남도 산청군청 경제교통과2023-4-18
37산청화현농공단지주식회사 늘다권미숙경상남도 산청군 생비량면 진산로 2047055-973-2183곡물 분말경상남도 산청군청 경제교통과2023-4-18