Overview

Dataset statistics

Number of variables4
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory36.2 B

Variable types

Numeric1
Text2
Categorical1

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

연 번 is highly overall correlated with 휴면 여부High correlation
휴면 여부 is highly overall correlated with 연 번High correlation
휴면 여부 is highly imbalanced (53.9%)Imbalance
연 번 has unique valuesUnique
조합명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:17:32.349463
Analysis finished2023-12-11 00:17:32.895840
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연 번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T09:17:32.986222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-11T09:17:33.157537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

조합명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T09:17:33.489052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length13.170732
Min length8

Characters and Unicode

Total characters540
Distinct characters93
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

Unique41 ?
Unique (%)100.0%

Sample

1st row경남울산기계공업협동조합
2nd row경남직물진주실크공업협동조합
3rd row울산경남가구공업협동조합
4th row울산경남인쇄정보산업협동조합
5th row경남공예협동조합
ValueCountFrequency (%)
경남울산기계공업협동조합 1
 
2.4%
밀양하남기계소재공단사업협동조합 1
 
2.4%
밀양자동차부품소재공단사업협동조합 1
 
2.4%
부산울산경남작물보호제판매업협동조합 1
 
2.4%
부울경아스콘사업협동조합 1
 
2.4%
경남레미콘사업협동조합 1
 
2.4%
경남진주수퍼마켓사업협동조합 1
 
2.4%
양산시재생용사업협동조합 1
 
2.4%
경남창원생활용품유통사업협동조합 1
 
2.4%
경남금형공업협동조합 1
 
2.4%
Other values (31) 31
75.6%
2023-12-11T09:17:33.890920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 44
 
8.1%
조 42
 
7.8%
합 41
 
7.6%
협 40
 
7.4%
업 37
 
6.9%
경 33
 
6.1%
남 32
 
5.9%
사 22
 
4.1%
공 16
 
3.0%
산 16
 
3.0%
Other values (83) 217
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 540
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
8.1%
조 42
 
7.8%
합 41
 
7.6%
협 40
 
7.4%
업 37
 
6.9%
경 33
 
6.1%
남 32
 
5.9%
사 22
 
4.1%
공 16
 
3.0%
산 16
 
3.0%
Other values (83) 217
40.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 540
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
8.1%
조 42
 
7.8%
합 41
 
7.6%
협 40
 
7.4%
업 37
 
6.9%
경 33
 
6.1%
남 32
 
5.9%
사 22
 
4.1%
공 16
 
3.0%
산 16
 
3.0%
Other values (83) 217
40.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 540
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 44
 
8.1%
조 42
 
7.8%
합 41
 
7.6%
협 40
 
7.4%
업 37
 
6.9%
경 33
 
6.1%
남 32
 
5.9%
사 22
 
4.1%
공 16
 
3.0%
산 16
 
3.0%
Other values (83) 217
40.2%

주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T09:17:34.227483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length20.609756
Min length11

Characters and Unicode

Total characters845
Distinct characters136
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

Unique41 ?
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 24
 
12.6%
의창구 12
 
6.3%
진주시 6
 
3.2%
성산구 5
 
2.6%
마산합포구 4
 
2.1%
2층 3
 
1.6%
중앙대로 3
 
1.6%
밀양시 2
 
1.1%
3 2
 
1.1%
연초면 2
 
1.1%
Other values (115) 127
66.8%
2023-12-11T09:17:34.713200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
 
18.0%
1 44
 
5.2%
시 41
 
4.9%
창 39
 
4.6%
로 30
 
3.6%
원 30
 
3.6%
2 27
 
3.2%
산 26
 
3.1%
구 24
 
2.8%
길 24
 
2.8%
Other values (126) 408
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 501
59.3%
Decimal Number 172
 
20.4%
Space Separator 152
 
18.0%
Dash Punctuation 8
 
0.9%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Other Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 41
 
8.2%
창 39
 
7.8%
로 30
 
6.0%
원 30
 
6.0%
산 26
 
5.2%
구 24
 
4.8%
길 24
 
4.8%
번 13
 
2.6%
의 13
 
2.6%
진 9
 
1.8%
Other values (109) 252
50.3%
Decimal Number
ValueCountFrequency (%)
1 44
25.6%
2 27
15.7%
3 19
11.0%
4 17
 
9.9%
8 12
 
7.0%
0 12
 
7.0%
6 11
 
6.4%
9 10
 
5.8%
5 10
 
5.8%
7 10
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
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 501
59.3%
Common 342
40.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 41
 
8.2%
창 39
 
7.8%
로 30
 
6.0%
원 30
 
6.0%
산 26
 
5.2%
구 24
 
4.8%
길 24
 
4.8%
번 13
 
2.6%
의 13
 
2.6%
진 9
 
1.8%
Other values (109) 252
50.3%
Common
ValueCountFrequency (%)
152
44.4%
1 44
 
12.9%
2 27
 
7.9%
3 19
 
5.6%
4 17
 
5.0%
8 12
 
3.5%
0 12
 
3.5%
6 11
 
3.2%
9 10
 
2.9%
5 10
 
2.9%
Other values (5) 28
 
8.2%
Latin
ValueCountFrequency (%)
T 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 501
59.3%
ASCII 344
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
44.2%
1 44
 
12.8%
2 27
 
7.8%
3 19
 
5.5%
4 17
 
4.9%
8 12
 
3.5%
0 12
 
3.5%
6 11
 
3.2%
9 10
 
2.9%
5 10
 
2.9%
Other values (7) 30
 
8.7%
Hangul
ValueCountFrequency (%)
시 41
 
8.2%
창 39
 
7.8%
로 30
 
6.0%
원 30
 
6.0%
산 26
 
5.2%
구 24
 
4.8%
길 24
 
4.8%
번 13
 
2.6%
의 13
 
2.6%
진 9
 
1.8%
Other values (109) 252
50.3%

휴면 여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
37 
휴면
4 

Length

Max length4
Median length4
Mean length3.804878
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 37
90.2%
휴면 4
 
9.8%

Length

2023-12-11T09:17:34.869504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:17:34.972405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
90.2%
휴면 4
 
9.8%

Interactions

2023-12-11T09:17:32.627165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:17:35.030679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연 번조합명주소
연 번1.0001.0001.000
조합명1.0001.0001.000
주소1.0001.0001.000
2023-12-11T09:17:35.103732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연 번휴면 여부
연 번1.0001.000
휴면 여부1.0001.000

Missing values

2023-12-11T09:17:32.766963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:17:32.854049image/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
3132경남중부의류판매사업협동조합창원시 마산합포구 상남시장로 49-15휴면
3233경남중서부아스콘사업협동조합창원시 의창구 남산로 1번길62(아스콘회관 4층)<NA>
3334경남조선해양기자재협동조합창원시 의창구 창원대로 18번길 22(경남TP 511호)<NA>
3435경남자동차재활용사업협동조합진주시 대곡면 남강로 2426-20휴면
3536경남중부레미콘사업협동조합창원시 의창구 우곡로 2-11 3층 303호<NA>
3637경남서부급식사업협동조합진주시 집현면 진주성로 511<NA>
3738경남김해부산강서생활용품유통사업조합김해시 김해대로2400번길 65-48<NA>
3839부울경신기술사업협동조합김해시 주촌면 골든루트로 80-16 중소기업비즈니스센터 413호<NA>
3940경남공동물류사업협동조합진주시 삼일로 72번길 10-4 태산빌 304호휴면
4041경남거제시급식사업협동조합거제시 연초면 송정 1길 27<NA>