Overview

Dataset statistics

Number of variables9
Number of observations182
Missing cells95
Missing cells (%)5.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.1 KiB
Average record size in memory73.7 B

Variable types

Numeric1
Categorical3
Text4
DateTime1

Dataset

Description전라북도 군산시 소재한 협동조합 현황(연번, 구분, 협동조합명, 수리(인가)일, 대표연락처, 대표자. 업종, 유형, 주소등)의 정보입니다.
Author전라북도 군산시
URLhttps://www.data.go.kr/data/15077481/fileData.do

Alerts

구분 is highly overall correlated with 업종 and 1 other fieldsHigh correlation
업종 is highly overall correlated with 구분High correlation
유형 is highly overall correlated with 구분High correlation
대표연락처 has 94 (51.6%) missing valuesMissing
연번 has unique valuesUnique
협동조합명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:35:35.060620
Analysis finished2023-12-12 21:35:36.200954
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.5
Minimum1
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T06:35:36.300061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.05
Q146.25
median91.5
Q3136.75
95-th percentile172.95
Maximum182
Range181
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation52.683014
Coefficient of variation (CV)0.57577065
Kurtosis-1.2
Mean91.5
Median Absolute Deviation (MAD)45.5
Skewness0
Sum16653
Variance2775.5
MonotonicityStrictly increasing
2023-12-13T06:35:36.464067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
116 1
 
0.5%
118 1
 
0.5%
119 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
Other values (172) 172
94.5%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%
176 1
0.5%
175 1
0.5%
174 1
0.5%
173 1
0.5%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
일반협동조합
152 
사회적협동조합
30 

Length

Max length7
Median length6
Mean length6.1648352
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반협동조합
2nd row일반협동조합
3rd row사회적협동조합
4th row사회적협동조합
5th row사회적협동조합

Common Values

ValueCountFrequency (%)
일반협동조합 152
83.5%
사회적협동조합 30
 
16.5%

Length

2023-12-13T06:35:36.594168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:35:36.698848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반협동조합 152
83.5%
사회적협동조합 30
 
16.5%

협동조합명
Text

UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T06:35:36.897181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length10.582418
Min length6

Characters and Unicode

Total characters1926
Distinct characters308
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

Unique182 ?
Unique (%)100.0%

Sample

1st row협동조합 푸름
2nd row참 아름다운 세상 협동조합
3rd row동네 사회적협동조합
4th row사회적협동조합 내초인
5th row유레카 사회적협동조합
ValueCountFrequency (%)
협동조합 39
 
14.3%
사회적협동조합 27
 
9.9%
군산 3
 
1.1%
헤어뷰티 2
 
0.7%
군산컴퓨터사무기기 1
 
0.4%
로컬아이 1
 
0.4%
전북자동차정비부품유통협동조합 1
 
0.4%
지에쓰삼디 1
 
0.4%
월드탑커피협동조합 1
 
0.4%
디자인플랫폼 1
 
0.4%
Other values (196) 196
71.8%
2023-12-13T06:35:37.315502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 189
 
9.8%
합 185
 
9.6%
협 183
 
9.5%
조 182
 
9.4%
92
 
4.8%
산 50
 
2.6%
군 46
 
2.4%
사 42
 
2.2%
회 36
 
1.9%
적 31
 
1.6%
Other values (298) 890
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1828
94.9%
Space Separator 92
 
4.8%
Lowercase Letter 3
 
0.2%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 189
 
10.3%
합 185
 
10.1%
협 183
 
10.0%
조 182
 
10.0%
산 50
 
2.7%
군 46
 
2.5%
사 42
 
2.3%
회 36
 
2.0%
적 31
 
1.7%
이 19
 
1.0%
Other values (291) 865
47.3%
Lowercase Letter
ValueCountFrequency (%)
y 1
33.3%
m 1
33.3%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
92
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1828
94.9%
Common 95
 
4.9%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 189
 
10.3%
합 185
 
10.1%
협 183
 
10.0%
조 182
 
10.0%
산 50
 
2.7%
군 46
 
2.5%
사 42
 
2.3%
회 36
 
2.0%
적 31
 
1.7%
이 19
 
1.0%
Other values (291) 865
47.3%
Common
ValueCountFrequency (%)
92
96.8%
, 1
 
1.1%
( 1
 
1.1%
) 1
 
1.1%
Latin
ValueCountFrequency (%)
y 1
33.3%
m 1
33.3%
k 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1828
94.9%
ASCII 98
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 189
 
10.3%
합 185
 
10.1%
협 183
 
10.0%
조 182
 
10.0%
산 50
 
2.7%
군 46
 
2.5%
사 42
 
2.3%
회 36
 
2.0%
적 31
 
1.7%
이 19
 
1.0%
Other values (291) 865
47.3%
ASCII
ValueCountFrequency (%)
92
93.9%
, 1
 
1.0%
y 1
 
1.0%
( 1
 
1.0%
m 1
 
1.0%
k 1
 
1.0%
) 1
 
1.0%

수리(인가)일
Date

Distinct159
Distinct (%)87.8%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
Minimum2013-02-27 00:00:00
Maximum2022-11-18 00:00:00
2023-12-13T06:35:37.467086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:35:37.619652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표연락처
Text

MISSING 

Distinct84
Distinct (%)95.5%
Missing94
Missing (%)51.6%
Memory size1.6 KiB
2023-12-13T06:35:37.860379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.113636
Min length12

Characters and Unicode

Total characters1066
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

Unique81 ?
Unique (%)92.0%

Sample

1st row050-5836-4000
2nd row063-442-7360
3rd row063-467-2478
4th row070-8783-9532
5th row063-446-5632
ValueCountFrequency (%)
063-466-3120 3
 
3.4%
063-461-7400 2
 
2.3%
063-467-2555 2
 
2.3%
063-467-3150 1
 
1.1%
063-445-1007 1
 
1.1%
063-453-0324 1
 
1.1%
063-467-1181 1
 
1.1%
063-463-7112 1
 
1.1%
063-467-9114 1
 
1.1%
063-465-5257 1
 
1.1%
Other values (74) 74
84.1%
2023-12-13T06:35:38.244137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 176
16.5%
0 163
15.3%
6 161
15.1%
4 135
12.7%
3 130
12.2%
5 70
 
6.6%
2 61
 
5.7%
7 56
 
5.3%
1 54
 
5.1%
8 38
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 890
83.5%
Dash Punctuation 176
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 163
18.3%
6 161
18.1%
4 135
15.2%
3 130
14.6%
5 70
7.9%
2 61
 
6.9%
7 56
 
6.3%
1 54
 
6.1%
8 38
 
4.3%
9 22
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1066
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 176
16.5%
0 163
15.3%
6 161
15.1%
4 135
12.7%
3 130
12.2%
5 70
 
6.6%
2 61
 
5.7%
7 56
 
5.3%
1 54
 
5.1%
8 38
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1066
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 176
16.5%
0 163
15.3%
6 161
15.1%
4 135
12.7%
3 130
12.2%
5 70
 
6.6%
2 61
 
5.7%
7 56
 
5.3%
1 54
 
5.1%
8 38
 
3.6%

대표자
Text

Distinct181
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T06:35:38.623673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.2747253
Min length2

Characters and Unicode

Total characters596
Distinct characters159
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)98.9%

Sample

1st row박거세
2nd row김난영
3rd row강태훈
4th row임춘희
5th row정창덕
ValueCountFrequency (%)
김미옥 2
 
1.1%
주식회사 2
 
1.1%
유한회사 2
 
1.1%
최윤정 1
 
0.5%
황헌묵 1
 
0.5%
이은총 1
 
0.5%
인터플랜 1
 
0.5%
이지민 1
 
0.5%
정수진 1
 
0.5%
김승수 1
 
0.5%
Other values (174) 174
93.0%
2023-12-13T06:35:39.143842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 31
 
5.2%
이 23
 
3.9%
정 23
 
3.9%
박 17
 
2.9%
희 15
 
2.5%
미 13
 
2.2%
수 12
 
2.0%
영 12
 
2.0%
호 11
 
1.8%
주 10
 
1.7%
Other values (149) 429
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 588
98.7%
Space Separator 5
 
0.8%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 31
 
5.3%
이 23
 
3.9%
정 23
 
3.9%
박 17
 
2.9%
희 15
 
2.6%
미 13
 
2.2%
수 12
 
2.0%
영 12
 
2.0%
호 11
 
1.9%
주 10
 
1.7%
Other values (145) 421
71.6%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 589
98.8%
Common 7
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 31
 
5.3%
이 23
 
3.9%
정 23
 
3.9%
박 17
 
2.9%
희 15
 
2.5%
미 13
 
2.2%
수 12
 
2.0%
영 12
 
2.0%
호 11
 
1.9%
주 10
 
1.7%
Other values (146) 422
71.6%
Common
ValueCountFrequency (%)
5
71.4%
) 1
 
14.3%
( 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 588
98.7%
ASCII 7
 
1.2%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 31
 
5.3%
이 23
 
3.9%
정 23
 
3.9%
박 17
 
2.9%
희 15
 
2.6%
미 13
 
2.2%
수 12
 
2.0%
영 12
 
2.0%
호 11
 
1.9%
주 10
 
1.7%
Other values (145) 421
71.6%
ASCII
ValueCountFrequency (%)
5
71.4%
) 1
 
14.3%
( 1
 
14.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업종
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
도매 및 소매업
43 
보건업 및 사회복지서비스업
21 
제조업
20 
예술, 스포츠 및 여가관련 서비스업
20 
농업, 어업 및 임업
17 
Other values (14)
61 

Length

Max length23
Median length18
Mean length11.263736
Min length2

Unique

Unique5 ?
Unique (%)2.7%

Sample

1st row도매 및 소매업
2nd row교육 서비스업
3rd row보건업 및 사회복지서비스업
4th row보건업 및 사회복지서비스업
5th row보건업 및 사회복지서비스업

Common Values

ValueCountFrequency (%)
도매 및 소매업 43
23.6%
보건업 및 사회복지서비스업 21
11.5%
제조업 20
11.0%
예술, 스포츠 및 여가관련 서비스업 20
11.0%
농업, 어업 및 임업 17
 
9.3%
교육 서비스업 13
 
7.1%
전기, 가스, 증기 및 수도사업 11
 
6.0%
협회 및 단체 수리 및 기타 개인 서비스업 8
 
4.4%
전문, 과학 및 기술 서비스업 7
 
3.8%
숙박 및 음식점업 6
 
3.3%
Other values (9) 16
 
8.8%

Length

2023-12-13T06:35:39.277928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 150
24.3%
서비스업 49
 
7.9%
도매 43
 
7.0%
소매업 43
 
7.0%
보건업 21
 
3.4%
사회복지서비스업 21
 
3.4%
제조업 20
 
3.2%
예술 20
 
3.2%
스포츠 20
 
3.2%
여가관련 20
 
3.2%
Other values (36) 210
34.0%

유형
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
사업자
99 
다중이해관계자
56 
생산자
23 
소비자
 
3
직원
 
1

Length

Max length7
Median length3
Mean length4.2252747
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row생산자
2nd row생산자
3rd row다중이해관계자
4th row다중이해관계자
5th row다중이해관계자

Common Values

ValueCountFrequency (%)
사업자 99
54.4%
다중이해관계자 56
30.8%
생산자 23
 
12.6%
소비자 3
 
1.6%
직원 1
 
0.5%

Length

2023-12-13T06:35:39.385933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:35:39.497035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업자 99
54.4%
다중이해관계자 56
30.8%
생산자 23
 
12.6%
소비자 3
 
1.6%
직원 1
 
0.5%

주소
Text

Distinct176
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T06:35:39.767252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length24.576923
Min length15

Characters and Unicode

Total characters4473
Distinct characters194
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)93.4%

Sample

1st row전라북도 군산시 해망로 146-24 2층(금암동)
2nd row전라북도 군산시 팔마로 204 (동흥남동)
3rd row전라북도 군산시 양안3길 40-4(조촌동)
4th row전라북도 군산시 내초안길 12(내초동)
5th row전라북도 군산시 축동로 34(수송동, 군산수송동 제일오투그란데 2단지) 511동 1402호
ValueCountFrequency (%)
전라북도 182
 
18.9%
군산시 182
 
18.9%
2층 11
 
1.1%
대학로 11
 
1.1%
옥구읍 9
 
0.9%
조촌동 9
 
0.9%
수송동 8
 
0.8%
옥도면 8
 
0.8%
13 6
 
0.6%
월명동 6
 
0.6%
Other values (372) 529
55.0%
2023-12-13T06:35:40.234303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
779
 
17.4%
산 213
 
4.8%
도 204
 
4.6%
북 201
 
4.5%
군 193
 
4.3%
시 188
 
4.2%
전 185
 
4.1%
라 182
 
4.1%
1 152
 
3.4%
동 144
 
3.2%
Other values (184) 2032
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2649
59.2%
Space Separator 779
 
17.4%
Decimal Number 681
 
15.2%
Close Punctuation 124
 
2.8%
Open Punctuation 124
 
2.8%
Other Punctuation 66
 
1.5%
Dash Punctuation 47
 
1.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 213
 
8.0%
도 204
 
7.7%
북 201
 
7.6%
군 193
 
7.3%
시 188
 
7.1%
전 185
 
7.0%
라 182
 
6.9%
동 144
 
5.4%
로 97
 
3.7%
길 89
 
3.4%
Other values (165) 953
36.0%
Decimal Number
ValueCountFrequency (%)
1 152
22.3%
2 119
17.5%
3 91
13.4%
4 70
10.3%
0 58
 
8.5%
5 51
 
7.5%
8 38
 
5.6%
9 36
 
5.3%
6 34
 
5.0%
7 32
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
L 1
33.3%
K 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 60
90.9%
. 6
 
9.1%
Space Separator
ValueCountFrequency (%)
779
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2649
59.2%
Common 1821
40.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 213
 
8.0%
도 204
 
7.7%
북 201
 
7.6%
군 193
 
7.3%
시 188
 
7.1%
전 185
 
7.0%
라 182
 
6.9%
동 144
 
5.4%
로 97
 
3.7%
길 89
 
3.4%
Other values (165) 953
36.0%
Common
ValueCountFrequency (%)
779
42.8%
1 152
 
8.3%
) 124
 
6.8%
( 124
 
6.8%
2 119
 
6.5%
3 91
 
5.0%
4 70
 
3.8%
, 60
 
3.3%
0 58
 
3.2%
5 51
 
2.8%
Other values (6) 193
 
10.6%
Latin
ValueCountFrequency (%)
C 1
33.3%
L 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2649
59.2%
ASCII 1824
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
779
42.7%
1 152
 
8.3%
) 124
 
6.8%
( 124
 
6.8%
2 119
 
6.5%
3 91
 
5.0%
4 70
 
3.8%
, 60
 
3.3%
0 58
 
3.2%
5 51
 
2.8%
Other values (9) 196
 
10.7%
Hangul
ValueCountFrequency (%)
산 213
 
8.0%
도 204
 
7.7%
북 201
 
7.6%
군 193
 
7.3%
시 188
 
7.1%
전 185
 
7.0%
라 182
 
6.9%
동 144
 
5.4%
로 97
 
3.7%
길 89
 
3.4%
Other values (165) 953
36.0%

Interactions

2023-12-13T06:35:35.712255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:35:40.328749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분대표연락처업종유형
연번1.0000.5760.4840.4970.649
구분0.5761.0000.6670.8440.543
대표연락처0.4840.6671.0000.9600.838
업종0.4970.8440.9601.0000.426
유형0.6490.5430.8380.4261.000
2023-12-13T06:35:40.427060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업종유형
구분1.0000.7480.651
업종0.7481.0000.217
유형0.6510.2171.000
2023-12-13T06:35:40.518391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분업종유형
연번1.0000.4340.2030.320
구분0.4341.0000.7480.651
업종0.2030.7481.0000.217
유형0.3200.6510.2171.000

Missing values

2023-12-13T06:35:35.877552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:35:36.023811image/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.
2023-12-13T06:35:36.142467image/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

연번구분협동조합명수리(인가)일대표연락처대표자업종유형주소
01일반협동조합협동조합 푸름2022-11-18<NA>박거세도매 및 소매업생산자전라북도 군산시 해망로 146-24 2층(금암동)
12일반협동조합참 아름다운 세상 협동조합2022-10-13050-5836-4000김난영교육 서비스업생산자전라북도 군산시 팔마로 204 (동흥남동)
23사회적협동조합동네 사회적협동조합2022-07-29063-442-7360강태훈보건업 및 사회복지서비스업다중이해관계자전라북도 군산시 양안3길 40-4(조촌동)
34사회적협동조합사회적협동조합 내초인2022-06-24063-467-2478임춘희보건업 및 사회복지서비스업다중이해관계자전라북도 군산시 내초안길 12(내초동)
45사회적협동조합유레카 사회적협동조합2022-04-14<NA>정창덕보건업 및 사회복지서비스업다중이해관계자전라북도 군산시 축동로 34(수송동, 군산수송동 제일오투그란데 2단지) 511동 1402호
56사회적협동조합해바라기사회적협동조합2022-03-07070-8783-9532한미경보건업 및 사회복지서비스업다중이해관계자전라북도 군산시 하나운로 45(나운동, 롯데아파트) 103동 104호
67일반협동조합아우라 협동조합2022-09-13<NA>권동주교육 서비스업다중이해관계자전라북도 군산시 옥산면 당북길 33, LK빌딩 3층
78일반협동조합올크린텍 협동조합2022-07-20<NA>오영자도매 및 소매업다중이해관계자전라북도 군산시 개정면 정수길 22-11
89일반협동조합가온환경협동조합2022-06-03<NA>성백섭사업시설관리 및 사업지원 서비스업사업자전라북도 군산시 축동로 34, 502동 103호 (수송동, 군산수송동 제일오투그란데 2단지)
910일반협동조합야채공간협동조합2022-05-30<NA>농업회사법인 유한회사 아리울현푸드농업, 어업 및 임업사업자전라북도 군산시 대학로 179, 2층 (문화동)
연번구분협동조합명수리(인가)일대표연락처대표자업종유형주소
172173일반협동조합군산박대협동조합2013-11-28063-471-8260황인숙도매 및 소매업사업자전라북도 군산시 공단대로 598 (소룡동)
173174일반협동조합군산신영협동조합2013-07-30070-7788-3412윤봉희도매 및 소매업사업자전라북도 군산시 동신영길 56 (신영동)
174175일반협동조합군산전통순대국밥협동조합2013-07-16063-445-8820황성빈숙박 및 음식점업사업자전라북도 군산시 구암3.1로 13 (대명동)
175176일반협동조합새만금버섯협동조합2013-05-29063-451-0300한광희농업, 어업 및 임업다중이해관계자전라북도 군산시 대야면 내덕길 77 (보덕길 126)
176177일반협동조합군산요양보호협동조합2013-04-30063-445-1007오미나보건업 및 사회복지서비스업다중이해관계자전라북도 군산시 중앙로 129, 2층
177178일반협동조합아리울영농협동조합2013-04-05<NA>유덕호농업, 어업 및 임업사업자전라북도 군산시 신흥길 10 (신관동930)
178179일반협동조합군산팜협동조합2013-03-26063-467-3150김철호도매 및 소매업사업자전라북도 군산시 개정면 금강로 470 (아동리 616번지)
179180일반협동조합군산시친환경농업인협동조합2013-03-26063-464-8860이창범농업, 어업 및 임업사업자전라북도 군산시 옥구읍 옥구로 250
180181일반협동조합협동조합 스포츠 제이2013-02-28063-461-7400최가희예술, 스포츠 및 여가관련 서비스업사업자전라북도 군산시 동개정길 20, 1동 101호 (개정동)
181182일반협동조합선유도어촌협동조합2013-02-27<NA>박상급제조업직원전라북도 군산시 옥도면 선유북길 85