Overview

Dataset statistics

Number of variables13
Number of observations26
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory111.9 B

Variable types

Numeric2
Text5
DateTime1
Categorical4
Boolean1

Dataset

Description중소기업협동조합 기본법에 의한 협동조합 인가 현황(조합명, 이사장, 조합인가일, 조합원, 직원수, 주소, 전화번호)
Author광주광역시
URLhttps://www.data.go.kr/data/15051268/fileData.do

Alerts

주무관청 has constant value ""Constant
데이터기준일자 has constant value ""Constant
비고 is highly imbalanced (65.1%)Imbalance
전화번호 has 1 (3.8%) missing valuesMissing
연번 has unique valuesUnique
조합명 has unique valuesUnique
설립인가일 has unique valuesUnique
주소 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 22:50:49.969617
Analysis finished2024-03-14 22:50:52.538685
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-15T07:50:52.650198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-03-15T07:50:52.887971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

조합명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T07:50:53.643413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length13.730769
Min length8

Characters and Unicode

Total characters357
Distinct characters76
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row광주공예협동조합
2nd row광주광역시수퍼마켓협동조합
3rd row광주광역시식자재공급업협동조합
4th row광주광역시전라남도사진앨범인쇄협동조합
5th row광주의류판매협동조합
ValueCountFrequency (%)
광주공예협동조합 1
 
3.8%
광주광역시수퍼마켓협동조합 1
 
3.8%
우리의류판매사업협동조합 1
 
3.8%
무등의류판매사업협동조합 1
 
3.8%
광주하나의류판매사업협동조합 1
 
3.8%
광주전남제일레미콘사업협동조합 1
 
3.8%
광주전남광고물제작사업협동조합 1
 
3.8%
광주전남sm수퍼마켓사업협동조합 1
 
3.8%
광주남구공예창작사업협동조합 1
 
3.8%
광주광역시자동차검사정비사업협동조합 1
 
3.8%
Other values (16) 16
61.5%
2024-03-15T07:50:54.585008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 29
 
8.1%
동 28
 
7.8%
협 26
 
7.3%
조 26
 
7.3%
합 26
 
7.3%
주 25
 
7.0%
업 22
 
6.2%
남 16
 
4.5%
전 15
 
4.2%
공 12
 
3.4%
Other values (66) 132
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 355
99.4%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 29
 
8.2%
동 28
 
7.9%
협 26
 
7.3%
조 26
 
7.3%
합 26
 
7.3%
주 25
 
7.0%
업 22
 
6.2%
남 16
 
4.5%
전 15
 
4.2%
공 12
 
3.4%
Other values (64) 130
36.6%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 355
99.4%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 29
 
8.2%
동 28
 
7.9%
협 26
 
7.3%
조 26
 
7.3%
합 26
 
7.3%
주 25
 
7.0%
업 22
 
6.2%
남 16
 
4.5%
전 15
 
4.2%
공 12
 
3.4%
Other values (64) 130
36.6%
Latin
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 355
99.4%
ASCII 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 29
 
8.2%
동 28
 
7.9%
협 26
 
7.3%
조 26
 
7.3%
합 26
 
7.3%
주 25
 
7.0%
업 22
 
6.2%
남 16
 
4.5%
전 15
 
4.2%
공 12
 
3.4%
Other values (64) 130
36.6%
ASCII
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%

이사장
Text

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T07:50:55.097543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.4615385
Min length3

Characters and Unicode

Total characters90
Distinct characters53
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

Unique22 ?
Unique (%)84.6%

Sample

1st row<공석>
2nd row임남식
3rd row유동주
4th row박복근
5th row<공석>
ValueCountFrequency (%)
공석 4
 
15.4%
최경채 1
 
3.8%
박철수 1
 
3.8%
오용교 1
 
3.8%
조교영 1
 
3.8%
박상규(대기 1
 
3.8%
최석현 1
 
3.8%
박영만 1
 
3.8%
노종호 1
 
3.8%
류승원 1
 
3.8%
Other values (13) 13
50.0%
2024-03-15T07:50:56.109488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
석 6
 
6.7%
< 4
 
4.4%
박 4
 
4.4%
> 4
 
4.4%
공 4
 
4.4%
김 3
 
3.3%
교 3
 
3.3%
유 2
 
2.2%
기 2
 
2.2%
영 2
 
2.2%
Other values (43) 56
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
86.7%
Math Symbol 8
 
8.9%
Open Punctuation 2
 
2.2%
Close Punctuation 2
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
석 6
 
7.7%
박 4
 
5.1%
공 4
 
5.1%
김 3
 
3.8%
교 3
 
3.8%
유 2
 
2.6%
기 2
 
2.6%
영 2
 
2.6%
호 2
 
2.6%
규 2
 
2.6%
Other values (39) 48
61.5%
Math Symbol
ValueCountFrequency (%)
< 4
50.0%
> 4
50.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
86.7%
Common 12
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
석 6
 
7.7%
박 4
 
5.1%
공 4
 
5.1%
김 3
 
3.8%
교 3
 
3.8%
유 2
 
2.6%
기 2
 
2.6%
영 2
 
2.6%
호 2
 
2.6%
규 2
 
2.6%
Other values (39) 48
61.5%
Common
ValueCountFrequency (%)
< 4
33.3%
> 4
33.3%
( 2
16.7%
) 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
86.7%
ASCII 12
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
석 6
 
7.7%
박 4
 
5.1%
공 4
 
5.1%
김 3
 
3.8%
교 3
 
3.8%
유 2
 
2.6%
기 2
 
2.6%
영 2
 
2.6%
호 2
 
2.6%
규 2
 
2.6%
Other values (39) 48
61.5%
ASCII
ValueCountFrequency (%)
< 4
33.3%
> 4
33.3%
( 2
16.7%
) 2
16.7%

설립인가일
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
Minimum1962-05-05 00:00:00
Maximum2021-09-09 00:00:00
2024-03-15T07:50:56.403858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:50:56.711235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

주무관청
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
광주광역시
26 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 26
100.0%

Length

2024-03-15T07:50:57.016083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:50:57.314352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 26
100.0%

조합원수
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.384615
Minimum10
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-15T07:50:57.610829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12
Q133.5
median57.5
Q391.25
95-th percentile132
Maximum196
Range186
Interquartile range (IQR)57.75

Descriptive statistics

Standard deviation43.833391
Coefficient of variation (CV)0.67039304
Kurtosis1.7118659
Mean65.384615
Median Absolute Deviation (MAD)24.5
Skewness1.1961393
Sum1700
Variance1921.3662
MonotonicityNot monotonic
2024-03-15T07:50:57.962601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
33 2
 
7.7%
113 1
 
3.8%
74 1
 
3.8%
129 1
 
3.8%
100 1
 
3.8%
72 1
 
3.8%
68 1
 
3.8%
39 1
 
3.8%
10 1
 
3.8%
25 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
10 1
3.8%
11 1
3.8%
15 1
3.8%
25 1
3.8%
30 1
3.8%
33 2
7.7%
35 1
3.8%
39 1
3.8%
42 1
3.8%
47 1
3.8%
ValueCountFrequency (%)
196 1
3.8%
133 1
3.8%
129 1
3.8%
113 1
3.8%
103 1
3.8%
100 1
3.8%
97 1
3.8%
74 1
3.8%
72 1
3.8%
68 1
3.8%

직원수
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size336.0 B
1
17 
2
7 
4
 
1
0
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 17
65.4%
2 7
26.9%
4 1
 
3.8%
0 1
 
3.8%

Length

2024-03-15T07:50:58.368948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:50:58.687509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
65.4%
2 7
26.9%
4 1
 
3.8%
0 1
 
3.8%

주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T07:50:59.591509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31.5
Mean length28.115385
Min length18

Characters and Unicode

Total characters731
Distinct characters109
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

Unique26 ?
Unique (%)100.0%

Sample

1st row광주광역시 남구 포충로 937 빛고을공예창작촌 (양과동)
2nd row광주광역시 서구 개금길 57 (매월동)
3rd row광주광역시 광산구 동곡로185번길 51
4th row광주광역시 동구 백서로 121-1 대한인쇄 2층 (금동)
5th row광주광역시 북구 임동 78-43 2층
ValueCountFrequency (%)
광주광역시 26
 
17.9%
서구 8
 
5.5%
북구 6
 
4.1%
남구 5
 
3.4%
2층 4
 
2.8%
광산구 4
 
2.8%
3층 4
 
2.8%
매월동 3
 
2.1%
동구 3
 
2.1%
948 2
 
1.4%
Other values (73) 80
55.2%
2024-03-15T07:51:01.450274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
16.7%
광 59
 
8.1%
주 29
 
4.0%
시 28
 
3.8%
구 27
 
3.7%
동 27
 
3.7%
역 26
 
3.6%
1 23
 
3.1%
로 22
 
3.0%
2 17
 
2.3%
Other values (99) 351
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 437
59.8%
Decimal Number 127
 
17.4%
Space Separator 122
 
16.7%
Close Punctuation 17
 
2.3%
Open Punctuation 17
 
2.3%
Dash Punctuation 6
 
0.8%
Other Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 59
 
13.5%
주 29
 
6.6%
시 28
 
6.4%
구 27
 
6.2%
동 27
 
6.2%
역 26
 
5.9%
로 22
 
5.0%
서 10
 
2.3%
산 10
 
2.3%
층 9
 
2.1%
Other values (84) 190
43.5%
Decimal Number
ValueCountFrequency (%)
1 23
18.1%
2 17
13.4%
3 16
12.6%
9 14
11.0%
5 12
9.4%
7 11
8.7%
4 10
7.9%
6 9
 
7.1%
0 9
 
7.1%
8 6
 
4.7%
Space Separator
ValueCountFrequency (%)
122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 437
59.8%
Common 294
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 59
 
13.5%
주 29
 
6.6%
시 28
 
6.4%
구 27
 
6.2%
동 27
 
6.2%
역 26
 
5.9%
로 22
 
5.0%
서 10
 
2.3%
산 10
 
2.3%
층 9
 
2.1%
Other values (84) 190
43.5%
Common
ValueCountFrequency (%)
122
41.5%
1 23
 
7.8%
2 17
 
5.8%
) 17
 
5.8%
( 17
 
5.8%
3 16
 
5.4%
9 14
 
4.8%
5 12
 
4.1%
7 11
 
3.7%
4 10
 
3.4%
Other values (5) 35
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 437
59.8%
ASCII 294
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
41.5%
1 23
 
7.8%
2 17
 
5.8%
) 17
 
5.8%
( 17
 
5.8%
3 16
 
5.4%
9 14
 
4.8%
5 12
 
4.1%
7 11
 
3.7%
4 10
 
3.4%
Other values (5) 35
 
11.9%
Hangul
ValueCountFrequency (%)
광 59
 
13.5%
주 29
 
6.6%
시 28
 
6.4%
구 27
 
6.2%
동 27
 
6.2%
역 26
 
5.9%
로 22
 
5.0%
서 10
 
2.3%
산 10
 
2.3%
층 9
 
2.1%
Other values (84) 190
43.5%

전화번호
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing1
Missing (%)3.8%
Memory size336.0 B
2024-03-15T07:51:02.852372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique25 ?
Unique (%)100.0%

Sample

1st row062-373-6300
2nd row062-951-3606
3rd row062-227-8383
4th row062-222-8880
5th row062-610-5500
ValueCountFrequency (%)
062-373-6300 1
 
4.0%
062-225-0327 1
 
4.0%
062-227-5681 1
 
4.0%
062-361-8185 1
 
4.0%
062-972-6695 1
 
4.0%
062-673-5788 1
 
4.0%
062-527-4771 1
 
4.0%
062-955-7732 1
 
4.0%
062-674-2070 1
 
4.0%
062-674-3700 1
 
4.0%
Other values (15) 15
60.0%
2024-03-15T07:51:04.660465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 52
17.3%
- 50
16.7%
6 45
15.0%
0 40
13.3%
5 23
7.7%
7 22
7.3%
3 21
7.0%
8 16
 
5.3%
1 14
 
4.7%
9 9
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 52
20.8%
6 45
18.0%
0 40
16.0%
5 23
9.2%
7 22
8.8%
3 21
8.4%
8 16
 
6.4%
1 14
 
5.6%
9 9
 
3.6%
4 8
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 52
17.3%
- 50
16.7%
6 45
15.0%
0 40
13.3%
5 23
7.7%
7 22
7.3%
3 21
7.0%
8 16
 
5.3%
1 14
 
4.7%
9 9
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 52
17.3%
- 50
16.7%
6 45
15.0%
0 40
13.3%
5 23
7.7%
7 22
7.3%
3 21
7.0%
8 16
 
5.3%
1 14
 
4.7%
9 9
 
3.0%

팩스번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T07:51:05.712175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.038462
Min length12

Characters and Unicode

Total characters313
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

Unique26 ?
Unique (%)100.0%

Sample

1st row062-223-7041
2nd row062-373-9405
3rd row062-955-3607
4th row062-227-8387
5th row062-674-0914
ValueCountFrequency (%)
062-223-7041 1
 
3.8%
062-373-9405 1
 
3.8%
062-227-5682 1
 
3.8%
062-361-8186 1
 
3.8%
062-525-7403 1
 
3.8%
062-673-5789 1
 
3.8%
062-527-4776 1
 
3.8%
062-952-7732 1
 
3.8%
050-8937-1390 1
 
3.8%
062-674-3703 1
 
3.8%
Other values (16) 16
61.5%
2024-03-15T07:51:07.049726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 52
16.6%
- 52
16.6%
0 47
15.0%
6 43
13.7%
3 24
7.7%
7 24
7.7%
5 22
7.0%
1 14
 
4.5%
4 12
 
3.8%
9 12
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 261
83.4%
Dash Punctuation 52
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 52
19.9%
0 47
18.0%
6 43
16.5%
3 24
9.2%
7 24
9.2%
5 22
8.4%
1 14
 
5.4%
4 12
 
4.6%
9 12
 
4.6%
8 11
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 52
16.6%
- 52
16.6%
0 47
15.0%
6 43
13.7%
3 24
7.7%
7 24
7.7%
5 22
7.0%
1 14
 
4.5%
4 12
 
3.8%
9 12
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 52
16.6%
- 52
16.6%
0 47
15.0%
6 43
13.7%
3 24
7.7%
7 24
7.7%
5 22
7.0%
1 14
 
4.5%
4 12
 
3.8%
9 12
 
3.8%

휴면여부
Boolean

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size154.0 B
False
22 
True
4 
ValueCountFrequency (%)
False 22
84.6%
True 4
 
15.4%
2024-03-15T07:51:07.429229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비고
Categorical

IMBALANCE 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size336.0 B
해당없음
23 
21년 업무구역 제주추가하여 명칭변경
 
1
21년 신규설립
 
1
21년 명칭변경(구 광주미래의류판매사업협동조합)
 
1

Length

Max length26
Median length4
Mean length5.6153846
Min length4

Unique

Unique3 ?
Unique (%)11.5%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 23
88.5%
21년 업무구역 제주추가하여 명칭변경 1
 
3.8%
21년 신규설립 1
 
3.8%
21년 명칭변경(구 광주미래의류판매사업협동조합) 1
 
3.8%

Length

2024-03-15T07:51:07.793058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:51:08.159638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 23
71.9%
21년 3
 
9.4%
업무구역 1
 
3.1%
제주추가하여 1
 
3.1%
명칭변경 1
 
3.1%
신규설립 1
 
3.1%
명칭변경(구 1
 
3.1%
광주미래의류판매사업협동조합 1
 
3.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-01-30
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-30
2nd row2024-01-30
3rd row2024-01-30
4th row2024-01-30
5th row2024-01-30

Common Values

ValueCountFrequency (%)
2024-01-30 26
100.0%

Length

2024-03-15T07:51:08.397914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:51:08.562947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-30 26
100.0%

Interactions

2024-03-15T07:50:51.217958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:50:50.726045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:50:51.467958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T07:50:50.960685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T07:51:08.679481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번조합명이사장설립인가일조합원수직원수주소전화번호팩스번호휴면여부비고
연번1.0001.0000.8681.0000.0000.2511.0001.0001.0000.5370.519
조합명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
이사장0.8681.0001.0001.0000.0000.0001.0001.0001.0000.0001.000
설립인가일1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
조합원수0.0001.0000.0001.0001.0000.7781.0001.0001.0000.0690.000
직원수0.2511.0000.0001.0000.7781.0001.0001.0001.0000.6050.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
휴면여부0.5371.0000.0001.0000.0690.6051.0001.0001.0001.0000.527
비고0.5191.0001.0001.0000.0000.0001.0001.0001.0000.5271.000
2024-03-15T07:51:09.001081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고휴면여부직원수
비고1.0000.3370.000
휴면여부0.3371.0000.395
직원수0.0000.3951.000
2024-03-15T07:51:09.257159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번조합원수직원수휴면여부비고
연번1.0000.1120.0390.3200.051
조합원수0.1121.0000.3180.0000.000
직원수0.0390.3181.0000.3950.000
휴면여부0.3200.0000.3951.0000.337
비고0.0510.0000.0000.3371.000

Missing values

2024-03-15T07:50:51.858111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T07:50:52.414125image/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

연번조합명이사장설립인가일주무관청조합원수직원수주소전화번호팩스번호휴면여부비고데이터기준일자
01광주공예협동조합<공석>2007-06-28광주광역시1132광주광역시 남구 포충로 937 빛고을공예창작촌 (양과동)<NA>062-223-7041N해당없음2024-01-30
12광주광역시수퍼마켓협동조합임남식2003-02-25광주광역시422광주광역시 서구 개금길 57 (매월동)062-373-6300062-373-9405N해당없음2024-01-30
23광주광역시식자재공급업협동조합유동주2013-02-07광주광역시532광주광역시 광산구 동곡로185번길 51062-951-3606062-955-3607N해당없음2024-01-30
34광주광역시전라남도사진앨범인쇄협동조합박복근1987-02-23광주광역시971광주광역시 동구 백서로 121-1 대한인쇄 2층 (금동)062-227-8383062-227-8387N해당없음2024-01-30
45광주의류판매협동조합<공석>2010-07-29광주광역시551광주광역시 북구 임동 78-43 2층062-222-8880062-674-0914Y해당없음2024-01-30
56광주자동차부품판매업협동조합정국선1993-04-14광주광역시302광주광역시 서구 매월2로15번길 16 203동 216호 (매월동,매월 종합상가)062-610-5500062-610-5502N해당없음2024-01-30
67광주전남건설기계업협동조합김형희2013-03-06광주광역시651광주광역시 서구 매월동 948 광주산업용재유통센터 29동 207호062-431-6955062-431-7899N해당없음2024-01-30
78광주전남니트공업협동조합서순규1962-05-05광주광역시111광주광역시 광산구 월곡중앙로 59-12 (월곡동)062-525-6867062-522-0965N해당없음2024-01-30
89광주전남레미콘공업협동조합김호두1994-01-17광주광역시351광주광역시 서구 회재로 960 5층 (풍암동,수정빌딩)062-361-5788062-361-6100N해당없음2024-01-30
910광주전남북금속가구공업협동조합오찬교2003-04-17광주광역시151광주광역시 북구 양일로 148-15 (양산동)062-571-2340062-571-2515N해당없음2024-01-30
연번조합명이사장설립인가일주무관청조합원수직원수주소전화번호팩스번호휴면여부비고데이터기준일자
1617광주전남프라스틱공업협동조합노종호1998-10-01광주광역시601광주광역시 광산구 하남산단8번로 177 503호 (도천동,광주시경제고용진흥원)062-956-2273062-956-2240N해당없음2024-01-30
1718광주광역시자동차검사정비사업협동조합박영만2009-10-13광주광역시1961광주광역시 남구 서문대로402번길 39 (송하동)062-674-3700062-674-3703N해당없음2024-01-30
1819광주남구공예창작사업협동조합최석현2021-09-09광주광역시331광주광역시 남구 포충로 937 빛고을공예창작촌062-674-2070050-8937-1390N21년 신규설립2024-01-30
1920광주전남SM수퍼마켓사업협동조합박상규(대기)2009-12-24광주광역시252광주광역시 광산구 하남산단9번로 139 (안청동)062-955-7732062-952-7732N해당없음2024-01-30
2021광주전남광고물제작사업협동조합조교영2009-08-24광주광역시101광주광역시 북구 중흥로 161 (중흥동)062-527-4771062-527-4776N해당없음2024-01-30
2122광주전남제일레미콘사업협동조합오용교2018-07-09광주광역시392광주광역시 서구 풍암신흥로 94 3층 302호(풍암동)062-673-5788062-673-5789N해당없음2024-01-30
2223광주하나의류판매사업협동조합박철수2006-11-29광주광역시681광주광역시 북구 중흥동 747-6 2층062-972-6695062-525-7403Y21년 명칭변경(구 광주미래의류판매사업협동조합)2024-01-30
2324무등의류판매사업협동조합권동철(대기)2007-03-23광주광역시721광주광역시 남구 구성로 70-1 3층062-361-8185062-361-8186N해당없음2024-01-30
2425우리의류판매사업협동조합<공석>2007-09-07광주광역시1001광주광역시 남구 천변좌로 432062-227-5681062-227-5682Y해당없음2024-01-30
2526광주공구판매업협동조합<공석>1992-01-15광주광역시1290광주광역시 서구 매월동 948 광주산업용재유통센터 17동 235호062-603-1998062-603-2070Y해당없음2024-01-30