Overview

Dataset statistics

Number of variables4
Number of observations38
Missing cells37
Missing cells (%)24.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory36.5 B

Variable types

Numeric1
Text3

Dataset

Description경상남도 중소기업협동조합(실크, 가구, 아스콘, 수퍼마켓, 공업 등) 현황과 관련된 자료로써, 조합명,주소,휴면여부에 관한 데이터를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15068316

Alerts

휴면 여부 has constant value ""Constant
휴면 여부 has 37 (97.4%) missing valuesMissing
연 번 has unique valuesUnique
조합명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:17:36.218117
Analysis finished2023-12-11 00:17:36.664116
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연 번
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T09:17:36.731711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2023-12-11T09:17:36.872539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
31 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
29 1
2.6%

조합명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T09:17:37.136247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length13.105263
Min length8

Characters and Unicode

Total characters498
Distinct characters91
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row경남울산기계공업협동조합
2nd row경남직물진주실크공업협동조합
3rd row울산경남가구공업협동조합
4th row울산경남인쇄정보산업협동조합
5th row경남공예협동조합
ValueCountFrequency (%)
경남울산기계공업협동조합 1
 
2.6%
경남진주수퍼마켓사업협동조합 1
 
2.6%
부울경신기술사업협동조합 1
 
2.6%
밀양하남기계소재공단사업협동조합 1
 
2.6%
마산어시장활어사업협동조합 1
 
2.6%
밀양자동차부품소재공단사업협동조합 1
 
2.6%
부산울산경남작물보호제판매업협동조합 1
 
2.6%
부울경아스콘사업협동조합 1
 
2.6%
경남레미콘사업협동조합 1
 
2.6%
경남창원생활용품유통사업협동조합 1
 
2.6%
Other values (28) 28
73.7%
2023-12-11T09:17:37.521911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 39
 
7.8%
동 39
 
7.8%
합 38
 
7.6%
협 37
 
7.4%
업 34
 
6.8%
경 29
 
5.8%
남 28
 
5.6%
사 19
 
3.8%
산 16
 
3.2%
공 15
 
3.0%
Other values (81) 204
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 498
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 39
 
7.8%
동 39
 
7.8%
합 38
 
7.6%
협 37
 
7.4%
업 34
 
6.8%
경 29
 
5.8%
남 28
 
5.6%
사 19
 
3.8%
산 16
 
3.2%
공 15
 
3.0%
Other values (81) 204
41.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 498
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 39
 
7.8%
동 39
 
7.8%
합 38
 
7.6%
협 37
 
7.4%
업 34
 
6.8%
경 29
 
5.8%
남 28
 
5.6%
사 19
 
3.8%
산 16
 
3.2%
공 15
 
3.0%
Other values (81) 204
41.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 498
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 39
 
7.8%
동 39
 
7.8%
합 38
 
7.6%
협 37
 
7.4%
업 34
 
6.8%
경 29
 
5.8%
남 28
 
5.6%
사 19
 
3.8%
산 16
 
3.2%
공 15
 
3.0%
Other values (81) 204
41.0%

주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T09:17:37.831743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26.5
Mean length20.473684
Min length11

Characters and Unicode

Total characters778
Distinct characters134
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

Unique38 ?
Unique (%)100.0%

Sample

1st row창원시 의창구 남산로 9 번길 13 기계조합회관 2층
2nd row진주시 문산읍 월아산로996번길 43
3rd row창원시 의창구 창원대로 372
4th row창원시 성산구 중앙대로 111 평화오피스텔 1019호
5th row창원시 성산구 용지로111번길 3
ValueCountFrequency (%)
창원시 23
 
13.1%
의창구 12
 
6.8%
성산구 5
 
2.8%
진주시 4
 
2.3%
마산합포구 3
 
1.7%
2층 3
 
1.7%
중앙대로 3
 
1.7%
밀양시 2
 
1.1%
거제시 2
 
1.1%
연초면 2
 
1.1%
Other values (105) 117
66.5%
2023-12-11T09:17:38.286210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
 
18.0%
1 42
 
5.4%
창 38
 
4.9%
시 37
 
4.8%
원 29
 
3.7%
로 27
 
3.5%
산 24
 
3.1%
2 23
 
3.0%
길 23
 
3.0%
구 23
 
3.0%
Other values (124) 372
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
60.0%
Decimal Number 154
 
19.8%
Space Separator 140
 
18.0%
Dash Punctuation 5
 
0.6%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Other Punctuation 2
 
0.3%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 38
 
8.1%
시 37
 
7.9%
원 29
 
6.2%
로 27
 
5.8%
산 24
 
5.1%
길 23
 
4.9%
구 23
 
4.9%
의 13
 
2.8%
번 12
 
2.6%
호 8
 
1.7%
Other values (107) 233
49.9%
Decimal Number
ValueCountFrequency (%)
1 42
27.3%
2 23
14.9%
3 18
11.7%
4 13
 
8.4%
8 12
 
7.8%
6 10
 
6.5%
9 9
 
5.8%
7 9
 
5.8%
5 9
 
5.8%
0 9
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
60.0%
Common 309
39.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 38
 
8.1%
시 37
 
7.9%
원 29
 
6.2%
로 27
 
5.8%
산 24
 
5.1%
길 23
 
4.9%
구 23
 
4.9%
의 13
 
2.8%
번 12
 
2.6%
호 8
 
1.7%
Other values (107) 233
49.9%
Common
ValueCountFrequency (%)
140
45.3%
1 42
 
13.6%
2 23
 
7.4%
3 18
 
5.8%
4 13
 
4.2%
8 12
 
3.9%
6 10
 
3.2%
9 9
 
2.9%
7 9
 
2.9%
5 9
 
2.9%
Other values (5) 24
 
7.8%
Latin
ValueCountFrequency (%)
P 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
60.0%
ASCII 311
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
45.0%
1 42
 
13.5%
2 23
 
7.4%
3 18
 
5.8%
4 13
 
4.2%
8 12
 
3.9%
6 10
 
3.2%
9 9
 
2.9%
7 9
 
2.9%
5 9
 
2.9%
Other values (7) 26
 
8.4%
Hangul
ValueCountFrequency (%)
창 38
 
8.1%
시 37
 
7.9%
원 29
 
6.2%
로 27
 
5.8%
산 24
 
5.1%
길 23
 
4.9%
구 23
 
4.9%
의 13
 
2.8%
번 12
 
2.6%
호 8
 
1.7%
Other values (107) 233
49.9%

휴면 여부
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size436.0 B
2023-12-11T09:17:38.391332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row휴면
ValueCountFrequency (%)
휴면 1
100.0%
2023-12-11T09:17:38.578673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 1
50.0%
면 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 1
50.0%
면 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 1
50.0%
면 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 1
50.0%
면 1
50.0%

Interactions

2023-12-11T09:17:36.415951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:17:38.665699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연 번조합명주소
연 번1.0001.0001.000
조합명1.0001.0001.000
주소1.0001.0001.000

Missing values

2023-12-11T09:17:36.546196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:17:36.625479image/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

연 번조합명주소휴면 여부
01경남울산기계공업협동조합창원시 의창구 남산로 9 번길 13 기계조합회관 2층<NA>
12경남직물진주실크공업협동조합진주시 문산읍 월아산로996번길 43<NA>
23울산경남가구공업협동조합창원시 의창구 창원대로 372<NA>
34울산경남인쇄정보산업협동조합창원시 성산구 중앙대로 111 평화오피스텔 1019호<NA>
45경남공예협동조합창원시 성산구 용지로111번길 3<NA>
56경남콘크리트공업협동조합창원시 의창구 도계두리길6번길 28<NA>
67경남니트공업협동조합창원시 마산회원구 회원동로 25<NA>
78울산경남연식품협동조합창원시 마산회원구 합성서7길 25<NA>
89통영선박기관수리공업사업협동조합통영시 멘데산업길 79-12<NA>
910진해마천주물공단사업협동조합창원시 진해구 남의로 32<NA>
연 번조합명주소휴면 여부
2829양산시재생용사업협동조합양산시 상북면 양산대로 1815휴면
2930경남창원생활용품유통사업협동조합창원시 의창구 무역로581번길 38<NA>
3031경남금형공업협동조합창원시 성산구 공단로 683<NA>
3132경남중서부아스콘사업협동조합창원시 의창구 남산로 1번길62(아스콘회관 4층)<NA>
3233경남조선해양기자재협동조합창원시 의창구 창원대로 18번길 22(경남TP 511호)<NA>
3334경남중부레미콘사업협동조합창원시 의창구 우곡로 2-11 3층 303호<NA>
3435경남서부급식사업협동조합진주시 집현면 진주성로 511<NA>
3536김해부산강서생활용품유통사업조합김해시 김해대로2400번길 65-48<NA>
3637부울경신기술사업협동조합김해시 주촌면 골든루트로 80-16 중소기업비즈니스센터 413호<NA>
3738경남거제시급식사업협동조합거제시 연초면 송정 1길 27<NA>