Overview

Dataset statistics

Number of variables8
Number of observations172
Missing cells127
Missing cells (%)9.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 KiB
Average record size in memory64.8 B

Variable types

Categorical2
Text5
DateTime1

Dataset

Description경기도 안산시에 있는 협동조합 현황으로 조합사업장명,이사장,소재지지번주소,전화번호,설립일자,데이터기준일자 등의 목록을 제공합니다.
Author경기도 안산시
URLhttps://www.data.go.kr/data/15036752/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
운영상태 is highly imbalanced (84.1%)Imbalance
조합전화번호 has 83 (48.3%) missing valuesMissing
소재지지번주소 has 42 (24.4%) missing valuesMissing
소재지도로명주소 has 2 (1.2%) missing valuesMissing
조합명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:23:15.101855
Analysis finished2023-12-12 07:23:15.978112
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

운영상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
운영중
168 
전입
 
4

Length

Max length3
Median length3
Mean length2.9767442
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 168
97.7%
전입 4
 
2.3%

Length

2023-12-12T16:23:16.055683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:23:16.174037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 168
97.7%
전입 4
 
2.3%

조합명
Text

UNIQUE 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T16:23:16.410669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length10.55814
Min length6

Characters and Unicode

Total characters1816
Distinct characters307
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)100.0%

Sample

1st row행복한숲향기 협동조합
2nd row도리섬 협동조합
3rd row안산희망택시 협동조합
4th row몽땅숲 협동조합
5th row다올 협동조합
ValueCountFrequency (%)
협동조합 61
 
24.5%
특농 2
 
0.8%
소성협동조합 1
 
0.4%
안산시가구협동조합 1
 
0.4%
도리섬 1
 
0.4%
색동예다원협동조합 1
 
0.4%
대부표고향기협동조합 1
 
0.4%
백합it협동조합 1
 
0.4%
생산기술 1
 
0.4%
큐엔씨영농협동조합 1
 
0.4%
Other values (178) 178
71.5%
2023-12-12T16:23:16.862567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 182
 
10.0%
조 176
 
9.7%
합 174
 
9.6%
협 173
 
9.5%
77
 
4.2%
산 35
 
1.9%
안 29
 
1.6%
한 24
 
1.3%
리 23
 
1.3%
기 22
 
1.2%
Other values (297) 901
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1705
93.9%
Space Separator 77
 
4.2%
Lowercase Letter 11
 
0.6%
Uppercase Letter 7
 
0.4%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Decimal Number 4
 
0.2%
Other Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 182
 
10.7%
조 176
 
10.3%
합 174
 
10.2%
협 173
 
10.1%
산 35
 
2.1%
안 29
 
1.7%
한 24
 
1.4%
리 23
 
1.3%
기 22
 
1.3%
국 17
 
1.0%
Other values (274) 850
49.9%
Lowercase Letter
ValueCountFrequency (%)
r 2
18.2%
i 2
18.2%
t 2
18.2%
l 1
9.1%
w 1
9.1%
h 1
9.1%
c 1
9.1%
b 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
I 2
28.6%
D 2
28.6%
T 1
14.3%
F 1
14.3%
A 1
14.3%
Decimal Number
ValueCountFrequency (%)
6 1
25.0%
1 1
25.0%
4 1
25.0%
3 1
25.0%
Other Punctuation
ValueCountFrequency (%)
' 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1705
93.9%
Common 93
 
5.1%
Latin 18
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 182
 
10.7%
조 176
 
10.3%
합 174
 
10.2%
협 173
 
10.1%
산 35
 
2.1%
안 29
 
1.7%
한 24
 
1.4%
리 23
 
1.3%
기 22
 
1.3%
국 17
 
1.0%
Other values (274) 850
49.9%
Latin
ValueCountFrequency (%)
I 2
11.1%
D 2
11.1%
r 2
11.1%
i 2
11.1%
t 2
11.1%
T 1
 
5.6%
F 1
 
5.6%
l 1
 
5.6%
w 1
 
5.6%
h 1
 
5.6%
Other values (3) 3
16.7%
Common
ValueCountFrequency (%)
77
82.8%
( 4
 
4.3%
) 4
 
4.3%
' 2
 
2.2%
+ 1
 
1.1%
6 1
 
1.1%
1 1
 
1.1%
4 1
 
1.1%
. 1
 
1.1%
3 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1705
93.9%
ASCII 111
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 182
 
10.7%
조 176
 
10.3%
합 174
 
10.2%
협 173
 
10.1%
산 35
 
2.1%
안 29
 
1.7%
한 24
 
1.4%
리 23
 
1.3%
기 22
 
1.3%
국 17
 
1.0%
Other values (274) 850
49.9%
ASCII
ValueCountFrequency (%)
77
69.4%
( 4
 
3.6%
) 4
 
3.6%
I 2
 
1.8%
' 2
 
1.8%
D 2
 
1.8%
r 2
 
1.8%
i 2
 
1.8%
t 2
 
1.8%
T 1
 
0.9%
Other values (13) 13
 
11.7%

이사장
Text

Distinct171
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T16:23:17.290403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.1046512
Min length2

Characters and Unicode

Total characters534
Distinct characters146
Distinct categories5 ?
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 (%)98.8%

Sample

1st row아오끼유꼬(AOKI YUKO)
2nd row마성권
3rd row이신택
4th row이정순
5th row김철성
ValueCountFrequency (%)
윤석훈 2
 
1.2%
양복승 1
 
0.6%
하상수 1
 
0.6%
방채영 1
 
0.6%
유제인 1
 
0.6%
신현성 1
 
0.6%
김성길 1
 
0.6%
장한묵 1
 
0.6%
채복자 1
 
0.6%
최임이 1
 
0.6%
Other values (162) 162
93.6%
2023-12-12T16:23:17.864521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 35
 
6.6%
김 29
 
5.4%
정 23
 
4.3%
영 17
 
3.2%
성 13
 
2.4%
박 12
 
2.2%
희 11
 
2.1%
기 11
 
2.1%
미 10
 
1.9%
경 9
 
1.7%
Other values (136) 364
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 521
97.6%
Uppercase Letter 8
 
1.5%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 35
 
6.7%
김 29
 
5.6%
정 23
 
4.4%
영 17
 
3.3%
성 13
 
2.5%
박 12
 
2.3%
희 11
 
2.1%
기 11
 
2.1%
미 10
 
1.9%
경 9
 
1.7%
Other values (127) 351
67.4%
Uppercase Letter
ValueCountFrequency (%)
O 2
25.0%
K 2
25.0%
U 1
12.5%
Y 1
12.5%
A 1
12.5%
I 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 521
97.6%
Latin 8
 
1.5%
Common 5
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 35
 
6.7%
김 29
 
5.6%
정 23
 
4.4%
영 17
 
3.3%
성 13
 
2.5%
박 12
 
2.3%
희 11
 
2.1%
기 11
 
2.1%
미 10
 
1.9%
경 9
 
1.7%
Other values (127) 351
67.4%
Latin
ValueCountFrequency (%)
O 2
25.0%
K 2
25.0%
U 1
12.5%
Y 1
12.5%
A 1
12.5%
I 1
12.5%
Common
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 521
97.6%
ASCII 13
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 35
 
6.7%
김 29
 
5.6%
정 23
 
4.4%
영 17
 
3.3%
성 13
 
2.5%
박 12
 
2.3%
희 11
 
2.1%
기 11
 
2.1%
미 10
 
1.9%
경 9
 
1.7%
Other values (127) 351
67.4%
ASCII
ValueCountFrequency (%)
( 2
15.4%
O 2
15.4%
K 2
15.4%
) 2
15.4%
U 1
7.7%
Y 1
7.7%
1
7.7%
A 1
7.7%
I 1
7.7%

조합전화번호
Text

MISSING 

Distinct88
Distinct (%)98.9%
Missing83
Missing (%)48.3%
Memory size1.5 KiB
2023-12-12T16:23:18.154107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.988764
Min length9

Characters and Unicode

Total characters1067
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

Unique87 ?
Unique (%)97.8%

Sample

1st row031-481-7851
2nd row031-486-7771
3rd row031-507-0199
4th row031-403-3080
5th row1588-5633
ValueCountFrequency (%)
031-502-3002 2
 
2.2%
031-410-5399 1
 
1.1%
031-497-0111 1
 
1.1%
070-7566-6280 1
 
1.1%
031-413-4130 1
 
1.1%
031-359-8400 1
 
1.1%
031-408-7601 1
 
1.1%
031-409-8815 1
 
1.1%
031-503-2926 1
 
1.1%
031-417-0761 1
 
1.1%
Other values (78) 78
87.6%
2023-12-12T16:23:18.624624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 192
18.0%
- 175
16.4%
1 166
15.6%
3 124
11.6%
4 105
9.8%
8 66
 
6.2%
6 52
 
4.9%
7 51
 
4.8%
2 49
 
4.6%
5 44
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 892
83.6%
Dash Punctuation 175
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 192
21.5%
1 166
18.6%
3 124
13.9%
4 105
11.8%
8 66
 
7.4%
6 52
 
5.8%
7 51
 
5.7%
2 49
 
5.5%
5 44
 
4.9%
9 43
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1067
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 192
18.0%
- 175
16.4%
1 166
15.6%
3 124
11.6%
4 105
9.8%
8 66
 
6.2%
6 52
 
4.9%
7 51
 
4.8%
2 49
 
4.6%
5 44
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1067
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 192
18.0%
- 175
16.4%
1 166
15.6%
3 124
11.6%
4 105
9.8%
8 66
 
6.2%
6 52
 
4.9%
7 51
 
4.8%
2 49
 
4.6%
5 44
 
4.1%

소재지지번주소
Text

MISSING 

Distinct128
Distinct (%)98.5%
Missing42
Missing (%)24.4%
Memory size1.5 KiB
2023-12-12T16:23:19.038493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length27.453846
Min length19

Characters and Unicode

Total characters3569
Distinct characters135
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

Unique127 ?
Unique (%)97.7%

Sample

1st row경기도 안산시 상록구 월피동 5082 광덕종합시장 안산시사회적경제지원센터 14호
2nd row경기도 안산시 단원구 고잔동 72610 두루빌딩 404호
3rd row경기도 안산시 상록구 사동 14955
4th row경기도 안산시 단원구 고잔동 5411 동서코아
5th row경기도 안산시 상록구 팔곡일동 589
ValueCountFrequency (%)
경기도 130
 
15.5%
안산시 130
 
15.5%
단원구 76
 
9.1%
상록구 54
 
6.4%
고잔동 28
 
3.3%
월피동 17
 
2.0%
2호 13
 
1.5%
사동 12
 
1.4%
3호 12
 
1.4%
와동 11
 
1.3%
Other values (234) 356
42.4%
2023-12-12T16:23:19.542595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
710
19.9%
동 142
 
4.0%
시 142
 
4.0%
산 134
 
3.8%
경 132
 
3.7%
안 132
 
3.7%
도 130
 
3.6%
기 130
 
3.6%
구 130
 
3.6%
호 122
 
3.4%
Other values (125) 1665
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2159
60.5%
Space Separator 710
 
19.9%
Decimal Number 694
 
19.4%
Uppercase Letter 4
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 142
 
6.6%
시 142
 
6.6%
산 134
 
6.2%
경 132
 
6.1%
안 132
 
6.1%
도 130
 
6.0%
기 130
 
6.0%
구 130
 
6.0%
호 122
 
5.7%
지 101
 
4.7%
Other values (110) 864
40.0%
Decimal Number
ValueCountFrequency (%)
1 120
17.3%
2 76
11.0%
3 75
10.8%
0 74
10.7%
7 73
10.5%
5 62
8.9%
6 60
8.6%
4 58
8.4%
8 53
7.6%
9 43
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
710
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2159
60.5%
Common 1406
39.4%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 142
 
6.6%
시 142
 
6.6%
산 134
 
6.2%
경 132
 
6.1%
안 132
 
6.1%
도 130
 
6.0%
기 130
 
6.0%
구 130
 
6.0%
호 122
 
5.7%
지 101
 
4.7%
Other values (110) 864
40.0%
Common
ValueCountFrequency (%)
710
50.5%
1 120
 
8.5%
2 76
 
5.4%
3 75
 
5.3%
0 74
 
5.3%
7 73
 
5.2%
5 62
 
4.4%
6 60
 
4.3%
4 58
 
4.1%
8 53
 
3.8%
Other values (3) 45
 
3.2%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2159
60.5%
ASCII 1410
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
710
50.4%
1 120
 
8.5%
2 76
 
5.4%
3 75
 
5.3%
0 74
 
5.2%
7 73
 
5.2%
5 62
 
4.4%
6 60
 
4.3%
4 58
 
4.1%
8 53
 
3.8%
Other values (5) 49
 
3.5%
Hangul
ValueCountFrequency (%)
동 142
 
6.6%
시 142
 
6.6%
산 134
 
6.2%
경 132
 
6.1%
안 132
 
6.1%
도 130
 
6.0%
기 130
 
6.0%
구 130
 
6.0%
호 122
 
5.7%
지 101
 
4.7%
Other values (110) 864
40.0%

소재지도로명주소
Text

MISSING 

Distinct166
Distinct (%)97.6%
Missing2
Missing (%)1.2%
Memory size1.5 KiB
2023-12-12T16:23:19.980029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42.5
Mean length32.470588
Min length23

Characters and Unicode

Total characters5520
Distinct characters199
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

Unique163 ?
Unique (%)95.9%

Sample

1st row경기도 안산시 상록구 광덕산안길 20 광덕종합시장 14호 (월피동)
2nd row경기도 안산시 단원구 광덕3로 16716 두루빌딩 404호 (고잔동)
3rd row경기도 안산시 상록구 선진5길 20 (사동)
4th row경기도 안산시 단원구 중앙대로 921 동서코아 613호 (고잔동)
5th row경기도 안산시 상록구 팔곡두레길 117 2층 (팔곡일동)
ValueCountFrequency (%)
경기도 170
 
13.8%
안산시 170
 
13.8%
단원구 101
 
8.2%
상록구 69
 
5.6%
고잔동 39
 
3.2%
월피동 17
 
1.4%
사동 15
 
1.2%
와동 13
 
1.1%
3층 12
 
1.0%
20 11
 
0.9%
Other values (367) 612
49.8%
2023-12-12T16:23:20.514310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1198
21.7%
동 204
 
3.7%
산 194
 
3.5%
안 187
 
3.4%
시 183
 
3.3%
1 181
 
3.3%
구 174
 
3.2%
기 172
 
3.1%
( 171
 
3.1%
경 171
 
3.1%
Other values (189) 2685
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3155
57.2%
Space Separator 1198
 
21.7%
Decimal Number 821
 
14.9%
Open Punctuation 171
 
3.1%
Close Punctuation 171
 
3.1%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 204
 
6.5%
산 194
 
6.1%
안 187
 
5.9%
시 183
 
5.8%
구 174
 
5.5%
기 172
 
5.5%
경 171
 
5.4%
도 171
 
5.4%
로 131
 
4.2%
원 127
 
4.0%
Other values (173) 1441
45.7%
Decimal Number
ValueCountFrequency (%)
1 181
22.0%
0 117
14.3%
2 113
13.8%
3 103
12.5%
4 86
10.5%
6 63
 
7.7%
5 54
 
6.6%
7 37
 
4.5%
8 35
 
4.3%
9 32
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
L 1
25.0%
B 1
25.0%
Space Separator
ValueCountFrequency (%)
1198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3155
57.2%
Common 2361
42.8%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 204
 
6.5%
산 194
 
6.1%
안 187
 
5.9%
시 183
 
5.8%
구 174
 
5.5%
기 172
 
5.5%
경 171
 
5.4%
도 171
 
5.4%
로 131
 
4.2%
원 127
 
4.0%
Other values (173) 1441
45.7%
Common
ValueCountFrequency (%)
1198
50.7%
1 181
 
7.7%
( 171
 
7.2%
) 171
 
7.2%
0 117
 
5.0%
2 113
 
4.8%
3 103
 
4.4%
4 86
 
3.6%
6 63
 
2.7%
5 54
 
2.3%
Other values (3) 104
 
4.4%
Latin
ValueCountFrequency (%)
A 2
50.0%
L 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3155
57.2%
ASCII 2365
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1198
50.7%
1 181
 
7.7%
( 171
 
7.2%
) 171
 
7.2%
0 117
 
4.9%
2 113
 
4.8%
3 103
 
4.4%
4 86
 
3.6%
6 63
 
2.7%
5 54
 
2.3%
Other values (6) 108
 
4.6%
Hangul
ValueCountFrequency (%)
동 204
 
6.5%
산 194
 
6.1%
안 187
 
5.9%
시 183
 
5.8%
구 174
 
5.5%
기 172
 
5.5%
경 171
 
5.4%
도 171
 
5.4%
로 131
 
4.2%
원 127
 
4.0%
Other values (173) 1441
45.7%

설립일자
Date

Distinct153
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2012-12-28 00:00:00
Maximum2023-10-05 00:00:00
2023-12-12T16:23:20.672389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:23:20.836406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-11-27
172 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-27
2nd row2023-11-27
3rd row2023-11-27
4th row2023-11-27
5th row2023-11-27

Common Values

ValueCountFrequency (%)
2023-11-27 172
100.0%

Length

2023-12-12T16:23:21.024532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:23:21.141957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-27 172
100.0%

Correlations

2023-12-12T16:23:21.206155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영상태조합전화번호
운영상태1.000NaN
조합전화번호NaN1.000

Missing values

2023-12-12T16:23:15.633831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:23:15.769002image/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.
2023-12-12T16:23:15.901144image/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

운영상태조합명이사장조합전화번호소재지지번주소소재지도로명주소설립일자데이터기준일자
0운영중행복한숲향기 협동조합아오끼유꼬(AOKI YUKO)<NA>경기도 안산시 상록구 월피동 5082 광덕종합시장 안산시사회적경제지원센터 14호경기도 안산시 상록구 광덕산안길 20 광덕종합시장 14호 (월피동)2023-10-052023-11-27
1운영중도리섬 협동조합마성권031-481-7851경기도 안산시 단원구 고잔동 72610 두루빌딩 404호경기도 안산시 단원구 광덕3로 16716 두루빌딩 404호 (고잔동)2023-09-082023-11-27
2운영중안산희망택시 협동조합이신택<NA>경기도 안산시 상록구 사동 14955경기도 안산시 상록구 선진5길 20 (사동)2023-06-282023-11-27
3운영중몽땅숲 협동조합이정순<NA>경기도 안산시 단원구 고잔동 5411 동서코아경기도 안산시 단원구 중앙대로 921 동서코아 613호 (고잔동)2023-05-162023-11-27
4운영중다올 협동조합김철성<NA>경기도 안산시 상록구 팔곡일동 589경기도 안산시 상록구 팔곡두레길 117 2층 (팔곡일동)2023-01-132023-11-27
5운영중안산시소상공인 협동조합유병석<NA>경기도 안산시 단원구 원곡동 9945 원곡유통상가 A동 407호경기도 안산시 단원구 산단로 342 원곡유통상가 A동 407호 (원곡동)2023-01-032023-11-27
6운영중고기서고기 협동조합유효식<NA>경기도 안산시 상록구 월피동 5082 광덕종합시장 3호경기도 안산시 상록구 광덕산안길 20 광덕종합시장 1층 3호 (월피동)2022-12-122023-11-27
7운영중숲과에코 협동조합이선희<NA>경기도 안산시 단원구 고잔동 7684 썬라이즈 405호경기도 안산시 단원구 광덕2로 19319 썬라이즈 405호 (고잔동)2022-10-192023-11-27
8운영중세종교육 협동조합김영미<NA>경기도 안산시 단원구 고잔동 7063 장은타워경기도 안산시 단원구 광덕대로 187 장은타워 (고잔동)2022-10-062023-11-27
9운영중설렘 협동조합이기훈<NA>경기도 안산시 단원구 원곡동 8286 벽산블루밍아파트 220호경기도 안산시 단원구 라성로 43 벽산블루밍아파트 220호 (원곡동)2022-08-052023-11-27
운영상태조합명이사장조합전화번호소재지지번주소소재지도로명주소설립일자데이터기준일자
162운영중문화세상고리 협동조합백승희031-411-1150경기도 안산시 단원구 선부동 1079번지경기도 안산시 단원구 화정로 9 상가동 106호 (선부동)2013-12-122023-11-27
163운영중한국언론미디어협동조합전태수031-411-2185<NA>경기도 안산시 단원구 광덕대로 206 301호 (고잔동)2013-12-062023-11-27
164운영중전국식자재유통협동조합박주경1566-2987경기도 안산시 상록구 이동 590번지 6호경기도 안산시 상록구 충장로6안길 17 (이동)2013-12-162023-11-27
165운영중한국광고물부착방지물협동조합박찬031-414-8050경기도 안산시 상록구 사동 1278번지 1호경기도 안산시 상록구 항가울로 1941 (사동)2013-01-232023-11-27
166운영중협동조합 굿 빌리지김승찬031-410-6070경기도 안산시 단원구 고잔동 602번지 1호경기도 안산시 단원구 단원로 61 (고잔동)2013-12-162023-11-27
167운영중한국아웃소싱경기협동조합나기문070-7404-9192경기도 안산시 단원구 원곡동 798번지 11호경기도 안산시 단원구 중앙대로 457 (원곡동)2012-12-282023-11-27
168전입상록수생태농어촌 협동조합강정미<NA>경기도 안산시 단원구 대부북동 8453경기도 안산시 단원구 대선로 248 1층 (대부북동)2014-02-152023-11-27
169전입한국악기협동조합정형준<NA>경기도 안산시 단원구 고잔동 7081 퍼스트빌1 201호경기도 안산시 단원구 광덕대로 155 퍼스트빌1 201호 (고잔동)2021-07-262023-11-27
170전입네오라인 협동조합정재민<NA>경기도 안산시 상록구 사동 141110경기도 안산시 상록구 장화2길 2512 102호 (사동)2020-06-032023-11-27
171전입세계다문화발효식품 협동조합유영란<NA>경기도 안산시 단원구 고잔동 537번지 6호 유창빌딩 6층경기도 안산시 단원구 중앙대로 895 유창빌딩 6층 (고잔동)2019-03-252023-11-27