Overview

Dataset statistics

Number of variables4
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory34.9 B

Variable types

Numeric1
Text3

Dataset

Description대구광역시 서구 관내에 존재하는 협동조합 명단으로 조합명, 주요사업, 주소를 포함하고 있습니다. 협동조합 종류 : 소비자생활협동조합, 사회적협동조합, 일반협동조합 (협동조합 설립, 변경에 관한 사항은 대구광역시 소관)
URLhttps://www.data.go.kr/data/3081463/fileData.do

Alerts

연번 has unique valuesUnique
조합명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:37:33.876018
Analysis finished2023-12-12 05:37:34.713262
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T14:37:34.791161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q118.5
median36
Q353.5
95-th percentile67.5
Maximum71
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.57332687
Kurtosis-1.2
Mean36
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance426
MonotonicityStrictly increasing
2023-12-12T14:37:34.956686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

조합명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T14:37:35.191922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.690141
Min length6

Characters and Unicode

Total characters759
Distinct characters176
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row중소기업지원협동조합
2nd row사회적협동조합다온
3rd row협동조합 정음문화교육예술원
4th row대성 사회적협동조합
5th row도와줘요마스터리협동조합
ValueCountFrequency (%)
협동조합 21
 
19.1%
사회적협동조합 11
 
10.0%
중소기업지원협동조합 1
 
0.9%
라이프 1
 
0.9%
한국기계부품협동조합 1
 
0.9%
대구앨범인쇄협동조합 1
 
0.9%
대구경북침구류협동조합 1
 
0.9%
대구택시협동조합 1
 
0.9%
철기시대협동조합 1
 
0.9%
로얄킹뷰티밸리협동조합 1
 
0.9%
Other values (70) 70
63.6%
2023-12-12T14:37:35.568539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
9.6%
72
 
9.5%
72
 
9.5%
71
 
9.4%
39
 
5.1%
28
 
3.7%
25
 
3.3%
22
 
2.9%
21
 
2.8%
21
 
2.8%
Other values (166) 315
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 718
94.6%
Space Separator 39
 
5.1%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
10.2%
72
 
10.0%
72
 
10.0%
71
 
9.9%
28
 
3.9%
25
 
3.5%
22
 
3.1%
21
 
2.9%
21
 
2.9%
9
 
1.3%
Other values (163) 304
42.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 718
94.6%
Common 39
 
5.1%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
 
10.2%
72
 
10.0%
72
 
10.0%
71
 
9.9%
28
 
3.9%
25
 
3.5%
22
 
3.1%
21
 
2.9%
21
 
2.9%
9
 
1.3%
Other values (163) 304
42.3%
Latin
ValueCountFrequency (%)
I 1
50.0%
S 1
50.0%
Common
ValueCountFrequency (%)
39
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 718
94.6%
ASCII 41
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
73
 
10.2%
72
 
10.0%
72
 
10.0%
71
 
9.9%
28
 
3.9%
25
 
3.5%
22
 
3.1%
21
 
2.9%
21
 
2.9%
9
 
1.3%
Other values (163) 304
42.3%
ASCII
ValueCountFrequency (%)
39
95.1%
I 1
 
2.4%
S 1
 
2.4%
Distinct60
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T14:37:35.876626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length45
Mean length25.873239
Min length4

Characters and Unicode

Total characters1837
Distinct characters241
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

Unique59 ?
Unique (%)83.1%

Sample

1st row컨설팅 사업
2nd row지역아동센터 설치 및 운영
3rd row문화예술 교육서비스업, 전문인력양성사업, 공연기획 등
4th row지역아동센터 운영
5th row취약계층 및 차상위계층의 보호 및 주거생활 지원사업 등
ValueCountFrequency (%)
44
 
10.2%
사업 20
 
4.7%
운영 16
 
3.7%
15
 
3.5%
지역아동센터 14
 
3.3%
위한 6
 
1.4%
공동구매 6
 
1.4%
공동브랜드 4
 
0.9%
개발 4
 
0.9%
디자인 3
 
0.7%
Other values (252) 298
69.3%
2023-12-12T14:37:36.441171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
359
 
19.5%
80
 
4.4%
80
 
4.4%
, 57
 
3.1%
45
 
2.4%
43
 
2.3%
38
 
2.1%
31
 
1.7%
24
 
1.3%
23
 
1.3%
Other values (231) 1057
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1403
76.4%
Space Separator 359
 
19.5%
Other Punctuation 64
 
3.5%
Decimal Number 5
 
0.3%
Uppercase Letter 4
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
80
 
5.7%
80
 
5.7%
45
 
3.2%
43
 
3.1%
38
 
2.7%
31
 
2.2%
24
 
1.7%
23
 
1.6%
21
 
1.5%
21
 
1.5%
Other values (219) 997
71.1%
Decimal Number
ValueCountFrequency (%)
3 1
20.0%
1 1
20.0%
5 1
20.0%
4 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 57
89.1%
. 7
 
10.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
I 2
50.0%
Space Separator
ValueCountFrequency (%)
359
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1403
76.4%
Common 430
 
23.4%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
80
 
5.7%
80
 
5.7%
45
 
3.2%
43
 
3.1%
38
 
2.7%
31
 
2.2%
24
 
1.7%
23
 
1.6%
21
 
1.5%
21
 
1.5%
Other values (219) 997
71.1%
Common
ValueCountFrequency (%)
359
83.5%
, 57
 
13.3%
. 7
 
1.6%
3 1
 
0.2%
1 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
2 1
 
0.2%
) 1
 
0.2%
( 1
 
0.2%
Latin
ValueCountFrequency (%)
S 2
50.0%
I 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1403
76.4%
ASCII 434
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
359
82.7%
, 57
 
13.1%
. 7
 
1.6%
S 2
 
0.5%
I 2
 
0.5%
3 1
 
0.2%
1 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
2 1
 
0.2%
Other values (2) 2
 
0.5%
Hangul
ValueCountFrequency (%)
80
 
5.7%
80
 
5.7%
45
 
3.2%
43
 
3.1%
38
 
2.7%
31
 
2.2%
24
 
1.7%
23
 
1.6%
21
 
1.5%
21
 
1.5%
Other values (219) 997
71.1%

주소
Text

Distinct70
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T14:37:36.822486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length27.056338
Min length20

Characters and Unicode

Total characters1921
Distinct characters102
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

Unique69 ?
Unique (%)97.2%

Sample

1st row대구광역시 서구 와룡로90길 41, 911호(이현동)
2nd row대구광역시 서구 국채보상로38길 27
3rd row대구광역시 서구 서대구로 6, 3층(내당동)
4th row대구광역시 서구 달서천로57길 8(비산동) 2층
5th row대구광역시 서구 통학로23길 24, 지하층(평리동)
ValueCountFrequency (%)
대구광역시 71
18.4%
서구 71
18.4%
내당동 16
 
4.1%
평리동 11
 
2.8%
비산동 11
 
2.8%
2층 8
 
2.1%
국채보상로 7
 
1.8%
중리동 7
 
1.8%
3층 7
 
1.8%
이현동 6
 
1.6%
Other values (136) 171
44.3%
2023-12-12T14:37:37.347094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
315
 
16.4%
153
 
8.0%
90
 
4.7%
85
 
4.4%
72
 
3.7%
71
 
3.7%
71
 
3.7%
71
 
3.7%
70
 
3.6%
( 69
 
3.6%
Other values (92) 854
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1121
58.4%
Space Separator 315
 
16.4%
Decimal Number 313
 
16.3%
Open Punctuation 69
 
3.6%
Close Punctuation 69
 
3.6%
Other Punctuation 18
 
0.9%
Dash Punctuation 16
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
153
13.6%
90
 
8.0%
85
 
7.6%
72
 
6.4%
71
 
6.3%
71
 
6.3%
71
 
6.3%
70
 
6.2%
42
 
3.7%
31
 
2.8%
Other values (76) 365
32.6%
Decimal Number
ValueCountFrequency (%)
1 59
18.8%
3 58
18.5%
2 47
15.0%
6 28
8.9%
5 27
8.6%
7 27
8.6%
4 23
 
7.3%
0 17
 
5.4%
8 14
 
4.5%
9 13
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 17
94.4%
. 1
 
5.6%
Space Separator
ValueCountFrequency (%)
315
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1121
58.4%
Common 800
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
153
13.6%
90
 
8.0%
85
 
7.6%
72
 
6.4%
71
 
6.3%
71
 
6.3%
71
 
6.3%
70
 
6.2%
42
 
3.7%
31
 
2.8%
Other values (76) 365
32.6%
Common
ValueCountFrequency (%)
315
39.4%
( 69
 
8.6%
) 69
 
8.6%
1 59
 
7.4%
3 58
 
7.2%
2 47
 
5.9%
6 28
 
3.5%
5 27
 
3.4%
7 27
 
3.4%
4 23
 
2.9%
Other values (6) 78
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1121
58.4%
ASCII 800
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
315
39.4%
( 69
 
8.6%
) 69
 
8.6%
1 59
 
7.4%
3 58
 
7.2%
2 47
 
5.9%
6 28
 
3.5%
5 27
 
3.4%
7 27
 
3.4%
4 23
 
2.9%
Other values (6) 78
 
9.8%
Hangul
ValueCountFrequency (%)
153
13.6%
90
 
8.0%
85
 
7.6%
72
 
6.4%
71
 
6.3%
71
 
6.3%
71
 
6.3%
70
 
6.2%
42
 
3.7%
31
 
2.8%
Other values (76) 365
32.6%

Interactions

2023-12-12T14:37:34.413837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:37:37.457100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번조합명주요사업주소
연번1.0001.0000.8980.945
조합명1.0001.0001.0001.000
주요사업0.8981.0001.0000.990
주소0.9451.0000.9901.000

Missing values

2023-12-12T14:37:34.587067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:37:34.673464image/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

연번조합명주요사업주소
01중소기업지원협동조합컨설팅 사업대구광역시 서구 와룡로90길 41, 911호(이현동)
12사회적협동조합다온지역아동센터 설치 및 운영대구광역시 서구 국채보상로38길 27
23협동조합 정음문화교육예술원문화예술 교육서비스업, 전문인력양성사업, 공연기획 등대구광역시 서구 서대구로 6, 3층(내당동)
34대성 사회적협동조합지역아동센터 운영대구광역시 서구 달서천로57길 8(비산동) 2층
45도와줘요마스터리협동조합취약계층 및 차상위계층의 보호 및 주거생활 지원사업 등대구광역시 서구 통학로23길 24, 지하층(평리동)
56함께나눔 사회적협동조합장애인활동지원대구광역시 서구 와룡로 307(중리동) 812호
67위드의료복지사회적협동조합의료기관 개설 및 운영대구광역시 서구 통학로32길 8(평리동) 대한성공회 애은성당 카페에버그린 2층
78대구요양보호사 사회적협동조합사회복지시설 요양보호사 역량강화사업, 요양보호사 상담지원, 취업,창업정보제공, 사회복지관련 기관, 정부 및 지방자치단쳬 위탁 요양보호사 교육사업대구광역시 서구 국채보상로 362(비산동) 농춘빌딩 4층
89사회적협동조합 한국물문화연구소물문화연구개발사업, 물문화환경조성사업대구광역시 서구 와룡로66길 56(중리동) 202호
910대광사회적협동조합지역아동센터 운영대구광역시 서구 국채보상로52길 60(평리동) 1층
연번조합명주요사업주소
6162특농샬렘 협동조합특용작물 재배 및 판매대구광역시 서구 통학로2길 3 (내당동)
6263행복한날뫼골협동조합행복한날뫼골 프로젝트 추진지원사업대구광역시 서구 북비산로 74-36 (비산동)
6364특농한마음협동조합특용작물 재배.가공판매대구광역시 서구 큰장로11길 16-2 (내당동)
6465대경협동경제네트워크사회적협동조합협동조합 전문인력 양성대구광역시 서구 내당동 1105-19 성건빌딩 3층
6566약용작물 판매 협동조합약용작물 및 농산물 직거래대구광역시 서구 서대구로3길 43 (내당동)
6667대구요양보호사교육원협동조합공동 홍보 및 교육사업대구광역시 서구 국채보상로 264 (평리동)
6768우리협동조합조합원 협력 및 지역사회를 위한 사업, 지역사회 재생 및 도시생활환경정비사업대구광역시 서구 와룡로66길 56, 202호 (중리동)
6869대구서구맛빵협동조합공동브랜드 개발 및 생산판매 제빵 원료 및 부자재 공동구입대구광역시 서구 달서로 257 (원대동3가)
6970사회적협동조합 한울타리환경개선, 주택사업대구광역시 서구 와룡로66길 56 (중리동) 202호
7071대구차양산업협동조합차양 원부자재 공동구매, 소재 공동 연구 개발 블라인드,커튼,어닝등의 공동제조, 공동브랜드대구광역시 서구 와룡로 441 (이현동)