Overview

Dataset statistics

Number of variables8
Number of observations50
Missing cells21
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory67.6 B

Variable types

Text5
Categorical2
Numeric1

Dataset

Description전라남도 장성군 관내에 등록된 건축업체 업종별 현황입니다. 데이터 항목은 업체명, 유형, 사업자 등록번호, 업종, 대표전화번호, 도로명주소, 팩스번호, 종업원 수 등 8개 항모입니다.
Author전라남도 장성군
URLhttps://www.data.go.kr/data/15126690/fileData.do

Alerts

종업원수 is highly overall correlated with 유형High correlation
유형 is highly overall correlated with 종업원수High correlation
대표전화번호 has 3 (6.0%) missing valuesMissing
팩스번호 has 18 (36.0%) missing valuesMissing

Reproduction

Analysis started2024-03-14 19:58:47.273742
Analysis finished2024-03-14 19:58:48.900583
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct38
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-15T04:58:49.561784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.92
Min length3

Characters and Unicode

Total characters296
Distinct characters111
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

Unique30 ?
Unique (%)60.0%

Sample

1st row제이에스개발㈜
2nd row광주데코임포트㈜
3rd row강산 ENG
4th row㈜제일부직포테크
5th row㈜지금강이엔지
ValueCountFrequency (%)
주식회사 5
 
8.6%
㈜본우드 3
 
5.2%
㈜포이엠 3
 
5.2%
강산 3
 
5.2%
eng 3
 
5.2%
민진산업 3
 
5.2%
대오산업 2
 
3.4%
㈜한맥캐미칼 2
 
3.4%
㈜대산케미칼 2
 
3.4%
청호환경개발㈜ 2
 
3.4%
Other values (30) 30
51.7%
2024-03-15T04:58:50.775202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 31
 
10.5%
산 13
 
4.4%
이 10
 
3.4%
업 9
 
3.0%
주 8
 
2.7%
8
 
2.7%
대 7
 
2.4%
스 6
 
2.0%
식 6
 
2.0%
회 6
 
2.0%
Other values (101) 192
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 246
83.1%
Other Symbol 31
 
10.5%
Uppercase Letter 9
 
3.0%
Space Separator 8
 
2.7%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 13
 
5.3%
이 10
 
4.1%
업 9
 
3.7%
주 8
 
3.3%
대 7
 
2.8%
스 6
 
2.4%
식 6
 
2.4%
회 6
 
2.4%
사 6
 
2.4%
에 6
 
2.4%
Other values (94) 169
68.7%
Uppercase Letter
ValueCountFrequency (%)
G 3
33.3%
N 3
33.3%
E 3
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 31
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
93.6%
Common 10
 
3.4%
Latin 9
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 31
 
11.2%
산 13
 
4.7%
이 10
 
3.6%
업 9
 
3.2%
주 8
 
2.9%
대 7
 
2.5%
스 6
 
2.2%
식 6
 
2.2%
회 6
 
2.2%
사 6
 
2.2%
Other values (95) 175
63.2%
Common
ValueCountFrequency (%)
8
80.0%
( 1
 
10.0%
) 1
 
10.0%
Latin
ValueCountFrequency (%)
G 3
33.3%
N 3
33.3%
E 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 246
83.1%
None 31
 
10.5%
ASCII 19
 
6.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 31
100.0%
Hangul
ValueCountFrequency (%)
산 13
 
5.3%
이 10
 
4.1%
업 9
 
3.7%
주 8
 
3.3%
대 7
 
2.8%
스 6
 
2.4%
식 6
 
2.4%
회 6
 
2.4%
사 6
 
2.4%
에 6
 
2.4%
Other values (94) 169
68.7%
ASCII
ValueCountFrequency (%)
8
42.1%
G 3
 
15.8%
N 3
 
15.8%
E 3
 
15.8%
( 1
 
5.3%
) 1
 
5.3%

유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
법인
37 
개인
13 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row법인
3rd row개인
4th row법인
5th row법인

Common Values

ValueCountFrequency (%)
법인 37
74.0%
개인 13
 
26.0%

Length

2024-03-15T04:58:51.193149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:58:51.522663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 37
74.0%
개인 13
 
26.0%

사업자등록번호
Text

Distinct38
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-15T04:58:52.478726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.04
Min length10

Characters and Unicode

Total characters502
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

Unique30 ?
Unique (%)60.0%

Sample

1st row409-81-80608
2nd row4090664315
3rd row5916200066
4th row4098191084
5th row4098621230
ValueCountFrequency (%)
1098610610 3
 
6.0%
4098612895 3
 
6.0%
5916200066 3
 
6.0%
4092468824 3
 
6.0%
4092157947 2
 
4.0%
4098184749 2
 
4.0%
4098642569 2
 
4.0%
4128111413 2
 
4.0%
4098141416 1
 
2.0%
4108639822 1
 
2.0%
Other values (28) 28
56.0%
2024-03-15T04:58:53.805783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 81
16.1%
4 80
15.9%
1 69
13.7%
8 61
12.2%
9 59
11.8%
6 53
10.6%
2 37
7.4%
5 22
 
4.4%
3 20
 
4.0%
7 18
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 500
99.6%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 81
16.2%
4 80
16.0%
1 69
13.8%
8 61
12.2%
9 59
11.8%
6 53
10.6%
2 37
7.4%
5 22
 
4.4%
3 20
 
4.0%
7 18
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 502
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 81
16.1%
4 80
15.9%
1 69
13.7%
8 61
12.2%
9 59
11.8%
6 53
10.6%
2 37
7.4%
5 22
 
4.4%
3 20
 
4.0%
7 18
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 502
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 81
16.1%
4 80
15.9%
1 69
13.7%
8 61
12.2%
9 59
11.8%
6 53
10.6%
2 37
7.4%
5 22
 
4.4%
3 20
 
4.0%
7 18
 
3.6%

업종
Categorical

Distinct17
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
혼성 및 재생 플라스틱 소재 물질 제조업
7 
표면 가공 목재 및 특정 목적용 제재목 제조업
6 
합성수지 및 기타 플라스틱 물질 제조업
4 
플라스틱 시트 및 판 제조업
4 
근무복, 작업복 및 유사의복 제조업
4 
Other values (12)
25 

Length

Max length25
Median length20
Mean length16.94
Min length6

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row쇄석골재생산
2nd row커튼 및 유사제품 제조업
3rd row직물포대 제조업
4th row부직포 및 펠트 제조업
5th row부직포 및 펠트 제조업

Common Values

ValueCountFrequency (%)
혼성 및 재생 플라스틱 소재 물질 제조업 7
14.0%
표면 가공 목재 및 특정 목적용 제재목 제조업 6
12.0%
합성수지 및 기타 플라스틱 물질 제조업 4
8.0%
플라스틱 시트 및 판 제조업 4
8.0%
근무복, 작업복 및 유사의복 제조업 4
8.0%
일반 제재업 4
8.0%
플라스틱 필름 제조업 4
8.0%
부직포 및 펠트 제조업 3
 
6.0%
기타 건축용 나무제품 제조업 3
 
6.0%
플라스틱 선, 봉, 관 및 호스 제조업 2
 
4.0%
Other values (7) 9
18.0%

Length

2024-03-15T04:58:54.086512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 45
17.4%
및 36
 
13.9%
플라스틱 21
 
8.1%
물질 11
 
4.2%
목재 9
 
3.5%
재생 9
 
3.5%
기타 8
 
3.1%
혼성 7
 
2.7%
소재 7
 
2.7%
가공 6
 
2.3%
Other values (34) 100
38.6%

대표전화번호
Text

MISSING 

Distinct34
Distinct (%)72.3%
Missing3
Missing (%)6.0%
Memory size528.0 B
2024-03-15T04:58:54.871322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.021277
Min length12

Characters and Unicode

Total characters565
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

Unique27 ?
Unique (%)57.4%

Sample

1st row061-392-5871
2nd row061-392-2180
3rd row061-394-2770
4th row061-395-0052
5th row061-393-0811
ValueCountFrequency (%)
02-6341-1708 6
 
12.8%
061-394-2770 3
 
6.4%
061-395-1100 3
 
6.4%
061-393-9369 2
 
4.3%
061-393-9051 2
 
4.3%
061-393-9084 2
 
4.3%
062-526-9640 2
 
4.3%
061-395-5300 1
 
2.1%
061-393-5588 1
 
2.1%
061-392-5871 1
 
2.1%
Other values (24) 24
51.1%
2024-03-15T04:58:55.996771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 94
16.6%
0 92
16.3%
1 72
12.7%
3 67
11.9%
6 60
10.6%
9 55
9.7%
2 31
 
5.5%
4 24
 
4.2%
7 24
 
4.2%
5 24
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 471
83.4%
Dash Punctuation 94
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
19.5%
1 72
15.3%
3 67
14.2%
6 60
12.7%
9 55
11.7%
2 31
 
6.6%
4 24
 
5.1%
7 24
 
5.1%
5 24
 
5.1%
8 22
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 565
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 94
16.6%
0 92
16.3%
1 72
12.7%
3 67
11.9%
6 60
10.6%
9 55
9.7%
2 31
 
5.5%
4 24
 
4.2%
7 24
 
4.2%
5 24
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 565
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 94
16.6%
0 92
16.3%
1 72
12.7%
3 67
11.9%
6 60
10.6%
9 55
9.7%
2 31
 
5.5%
4 24
 
4.2%
7 24
 
4.2%
5 24
 
4.2%

도로명주소
Text

Distinct34
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2024-03-15T04:58:56.879708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.04
Min length19

Characters and Unicode

Total characters1052
Distinct characters62
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

Unique27 ?
Unique (%)54.0%

Sample

1st row전라남도 장성군 북하면 단풍로 1048-90
2nd row전라남도 장성군 동화면 농공단지길 49
3rd row전라남도 장성군 동화면 농공단지길 49
4th row전라남도 장성군 황룡면 황룡로 204-10
5th row전라남도 장성군 황룡면 홍길동로 595
ValueCountFrequency (%)
전라남도 50
19.8%
장성군 50
19.8%
동화면 14
 
5.5%
황룡면 11
 
4.3%
삼계면 10
 
4.0%
농공단지길 9
 
3.6%
번창길 8
 
3.2%
49 7
 
2.8%
17 6
 
2.4%
영천로 5
 
2.0%
Other values (54) 83
32.8%
2024-03-15T04:58:58.456441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
206
19.6%
장 61
 
5.8%
성 55
 
5.2%
남 52
 
4.9%
전 50
 
4.8%
도 50
 
4.8%
군 50
 
4.8%
라 50
 
4.8%
면 45
 
4.3%
1 30
 
2.9%
Other values (52) 403
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 676
64.3%
Space Separator 206
 
19.6%
Decimal Number 157
 
14.9%
Dash Punctuation 9
 
0.9%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 61
 
9.0%
성 55
 
8.1%
남 52
 
7.7%
전 50
 
7.4%
도 50
 
7.4%
군 50
 
7.4%
라 50
 
7.4%
면 45
 
6.7%
로 30
 
4.4%
길 21
 
3.1%
Other values (37) 212
31.4%
Decimal Number
ValueCountFrequency (%)
1 30
19.1%
2 25
15.9%
9 19
12.1%
0 16
10.2%
7 15
9.6%
3 14
8.9%
4 14
8.9%
8 12
 
7.6%
5 11
 
7.0%
6 1
 
0.6%
Space Separator
ValueCountFrequency (%)
206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 676
64.3%
Common 376
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 61
 
9.0%
성 55
 
8.1%
남 52
 
7.7%
전 50
 
7.4%
도 50
 
7.4%
군 50
 
7.4%
라 50
 
7.4%
면 45
 
6.7%
로 30
 
4.4%
길 21
 
3.1%
Other values (37) 212
31.4%
Common
ValueCountFrequency (%)
206
54.8%
1 30
 
8.0%
2 25
 
6.6%
9 19
 
5.1%
0 16
 
4.3%
7 15
 
4.0%
3 14
 
3.7%
4 14
 
3.7%
8 12
 
3.2%
5 11
 
2.9%
Other values (5) 14
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 676
64.3%
ASCII 376
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
54.8%
1 30
 
8.0%
2 25
 
6.6%
9 19
 
5.1%
0 16
 
4.3%
7 15
 
4.0%
3 14
 
3.7%
4 14
 
3.7%
8 12
 
3.2%
5 11
 
2.9%
Other values (5) 14
 
3.7%
Hangul
ValueCountFrequency (%)
장 61
 
9.0%
성 55
 
8.1%
남 52
 
7.7%
전 50
 
7.4%
도 50
 
7.4%
군 50
 
7.4%
라 50
 
7.4%
면 45
 
6.7%
로 30
 
4.4%
길 21
 
3.1%
Other values (37) 212
31.4%

팩스번호
Text

MISSING 

Distinct24
Distinct (%)75.0%
Missing18
Missing (%)36.0%
Memory size528.0 B
2024-03-15T04:58:59.391846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.0625
Min length12

Characters and Unicode

Total characters386
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

Unique18 ?
Unique (%)56.2%

Sample

1st row061-392-2780
2nd row061-372-2773
3rd row061-393-1751
4th row061-392-9958
5th row061-372-2773
ValueCountFrequency (%)
061-395-4500 3
 
9.4%
061-372-2773 3
 
9.4%
061-393-2369 2
 
6.2%
061-393-9056 2
 
6.2%
061-393-9087 2
 
6.2%
062-526-9644 2
 
6.2%
061-393-5583 1
 
3.1%
061-392-8003 1
 
3.1%
061-392-6162 1
 
3.1%
061-373-9964 1
 
3.1%
Other values (14) 14
43.8%
2024-03-15T04:59:00.748954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 64
16.6%
0 52
13.5%
3 52
13.5%
6 46
11.9%
9 45
11.7%
1 36
9.3%
2 26
6.7%
5 25
 
6.5%
7 17
 
4.4%
8 13
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 322
83.4%
Dash Punctuation 64
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
16.1%
3 52
16.1%
6 46
14.3%
9 45
14.0%
1 36
11.2%
2 26
8.1%
5 25
7.8%
7 17
 
5.3%
8 13
 
4.0%
4 10
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 386
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 64
16.6%
0 52
13.5%
3 52
13.5%
6 46
11.9%
9 45
11.7%
1 36
9.3%
2 26
6.7%
5 25
 
6.5%
7 17
 
4.4%
8 13
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 64
16.6%
0 52
13.5%
3 52
13.5%
6 46
11.9%
9 45
11.7%
1 36
9.3%
2 26
6.7%
5 25
 
6.5%
7 17
 
4.4%
8 13
 
3.4%

종업원수
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.34
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size578.0 B
2024-03-15T04:59:00.967544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q314.5
95-th percentile34.4
Maximum60
Range59
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation11.309396
Coefficient of variation (CV)0.99730128
Kurtosis6.712306
Mean11.34
Median Absolute Deviation (MAD)3
Skewness2.3857806
Sum567
Variance127.90245
MonotonicityNot monotonic
2024-03-15T04:59:01.352032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
10 7
14.0%
5 6
12.0%
4 5
10.0%
7 5
10.0%
6 3
 
6.0%
2 3
 
6.0%
15 3
 
6.0%
3 3
 
6.0%
16 3
 
6.0%
8 2
 
4.0%
Other values (8) 10
20.0%
ValueCountFrequency (%)
1 1
 
2.0%
2 3
6.0%
3 3
6.0%
4 5
10.0%
5 6
12.0%
6 3
6.0%
7 5
10.0%
8 2
 
4.0%
10 7
14.0%
11 1
 
2.0%
ValueCountFrequency (%)
60 1
 
2.0%
38 2
 
4.0%
30 2
 
4.0%
28 1
 
2.0%
21 1
 
2.0%
16 3
6.0%
15 3
6.0%
13 1
 
2.0%
11 1
 
2.0%
10 7
14.0%

Interactions

2024-03-15T04:58:47.837776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:59:01.622705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명유형사업자등록번호업종대표전화번호도로명주소팩스번호종업원수
업체명1.0001.0001.0000.0001.0001.0001.0001.000
유형1.0001.0001.0000.0000.8190.3611.0000.495
사업자등록번호1.0001.0001.0000.0001.0001.0001.0001.000
업종0.0000.0000.0001.0000.8320.0000.7100.000
대표전화번호1.0000.8191.0000.8321.0001.0001.0000.987
도로명주소1.0000.3611.0000.0001.0001.0001.0000.985
팩스번호1.0001.0001.0000.7101.0001.0001.0001.000
종업원수1.0000.4951.0000.0000.9870.9851.0001.000
2024-03-15T04:59:01.909196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형업종
유형1.0000.000
업종0.0001.000
2024-03-15T04:59:02.198705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수유형업종
종업원수1.0000.5010.000
유형0.5011.0000.000
업종0.0000.0001.000

Missing values

2024-03-15T04:58:48.184038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:58:48.545689image/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.
2024-03-15T04:58:48.758525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업체명유형사업자등록번호업종대표전화번호도로명주소팩스번호종업원수
0제이에스개발㈜법인409-81-80608쇄석골재생산061-392-5871전라남도 장성군 북하면 단풍로 1048-90<NA>5
1광주데코임포트㈜법인4090664315커튼 및 유사제품 제조업061-392-2180전라남도 장성군 동화면 농공단지길 49061-392-27808
2강산 ENG개인5916200066직물포대 제조업061-394-2770전라남도 장성군 동화면 농공단지길 49061-372-27732
3㈜제일부직포테크법인4098191084부직포 및 펠트 제조업061-395-0052전라남도 장성군 황룡면 황룡로 204-10<NA>10
4㈜지금강이엔지법인4098621230부직포 및 펠트 제조업061-393-0811전라남도 장성군 황룡면 홍길동로 595061-393-175121
5㈜성은테크법인4098609255부직포 및 펠트 제조업061-392-9956전라남도 장성군 동화면 농공단지길 85 (공장)061-392-99586
6(유)엘케이어패럴법인5358101450근무복, 작업복 및 유사의복 제조업061-392-3377전라남도 장성군 장성읍 영천로 201, 2층<NA>4
7시온실업개인4091921655근무복, 작업복 및 유사의복 제조업061-393-7743전라남도 장성군 장성읍 영천로 96<NA>4
8아이리스어페럴㈜법인4098612013근무복, 작업복 및 유사의복 제조업061-392-6700전라남도 장성군 장성읍 영천로 229<NA>4
9올패션개인4080488324근무복, 작업복 및 유사의복 제조업061-392-2014전라남도 장성군 장성읍 영천로 149<NA>4
업체명유형사업자등록번호업종대표전화번호도로명주소팩스번호종업원수
40㈜대산케미칼법인4098642569플라스틱 필름 제조업061-393-9084전라남도 장성군 황룡면 내황길 23061-393-908730
41㈜한맥캐미칼법인4098184749플라스틱 필름 제조업061-393-9051전라남도 장성군 황룡면 황룡로 177061-393-905638
42㈜화진산업법인4088604790플라스틱 필름 제조업061-392-6081전라남도 장성군 남면 나노산단2로 145061-392-616213
43대오산업개인4092157947플라스틱 필름 제조업061-393-9369전라남도 장성군 북일면 신흥로 782061-393-23693
44㈜대산케미칼법인4098642569플라스틱 시트 및 판 제조업061-393-9084전라남도 장성군 황룡면 내황길 23061-393-908730
45㈜한맥캐미칼법인4098184749플라스틱 시트 및 판 제조업061-393-9051전라남도 장성군 황룡면 황룡로 177061-393-905638
46내쇼날이에스㈜법인1348138507플라스틱 시트 및 판 제조업061-395-1191전라남도 장성군 동화면 농공단지길 7061-395-119511
47대오산업개인4092157947플라스틱 시트 및 판 제조업061-393-9369전라남도 장성군 북일면 신흥로 782061-393-23693
48㈜포이엠법인4098612895벽 및 바닥 피복용 플라스틱제품 제조업061-395-1100전라남도 장성군 동화면 삼동로 823061-395-450016
49청호환경개발㈜법인4128111413벽 및 바닥 피복용 플라스틱제품 제조업062-526-9640전라남도 장성군 삼서면 영장로 1930-52062-526-964410