Overview

Dataset statistics

Number of variables6
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory50.4 B

Variable types

Categorical1
Text4
Numeric1

Dataset

Description경상남도 남해군 단체현황 입니다. 여성단체, 봉사단체, 행정보조단체, 보훈단체 등 구분에 따른 단체명, 대표자, 사무실주소, 연락처 등의 정보를 포함하고 있습니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15063781

Alerts

단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 01:02:50.535142
Analysis finished2023-12-11 01:02:51.746358
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct14
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size900.0 B
행정보조단체
17 
봉사단체
13 
농업단체
11 
그외단체
11 
보훈단체
9 
Other values (9)
35 

Length

Max length6
Median length4
Mean length4.3125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타기관
2nd row기타기관
3rd row기타기관
4th row공사
5th row공사

Common Values

ValueCountFrequency (%)
행정보조단체 17
17.7%
봉사단체 13
13.5%
농업단체 11
11.5%
그외단체 11
11.5%
보훈단체 9
9.4%
수산단체 8
8.3%
여성단체 7
7.3%
상공단체 4
 
4.2%
지역신문 4
 
4.2%
기타기관 3
 
3.1%
Other values (4) 9
9.4%

Length

2023-12-11T10:02:51.859714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
행정보조단체 17
17.7%
봉사단체 13
13.5%
농업단체 11
11.5%
그외단체 11
11.5%
보훈단체 9
9.4%
수산단체 8
8.3%
여성단체 7
7.3%
상공단체 4
 
4.2%
지역신문 4
 
4.2%
기타기관 3
 
3.1%
Other values (4) 9
9.4%

단체명
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-11T10:02:52.097959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length11.3125
Min length4

Characters and Unicode

Total characters1086
Distinct characters170
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row창원지방법원 남해등기소
2nd row남해군선거관리위원회
3rd row국립농산물품질관리원 경상남도지원남해사무소
4th row한국농어촌공사 하동남해지사 남해지소
5th row국민건강보험공단 하동남해지사남해출장소
ValueCountFrequency (%)
남해군지회 12
 
8.6%
남해군 7
 
5.0%
남해군연합회 5
 
3.6%
남해군지부 4
 
2.9%
남해군협의회 2
 
1.4%
사)한국생활개선남해군연합회 1
 
0.7%
남해한우연구회 1
 
0.7%
전국한우협회남해군지부 1
 
0.7%
남해군특산물유통협의회 1
 
0.7%
남해군친환경농업협회 1
 
0.7%
Other values (105) 105
75.0%
2023-12-11T10:02:52.566225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
남 93
 
8.6%
해 91
 
8.4%
회 90
 
8.3%
군 64
 
5.9%
58
 
5.3%
지 35
 
3.2%
협 25
 
2.3%
자 20
 
1.8%
의 20
 
1.8%
사 20
 
1.8%
Other values (160) 570
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1008
92.8%
Space Separator 58
 
5.3%
Close Punctuation 8
 
0.7%
Open Punctuation 7
 
0.6%
Decimal Number 3
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 93
 
9.2%
해 91
 
9.0%
회 90
 
8.9%
군 64
 
6.3%
지 35
 
3.5%
협 25
 
2.5%
자 20
 
2.0%
의 20
 
2.0%
사 20
 
2.0%
연 20
 
2.0%
Other values (152) 530
52.6%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
2 1
33.3%
6 1
33.3%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1008
92.8%
Common 78
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 93
 
9.2%
해 91
 
9.0%
회 90
 
8.9%
군 64
 
6.3%
지 35
 
3.5%
협 25
 
2.5%
자 20
 
2.0%
의 20
 
2.0%
사 20
 
2.0%
연 20
 
2.0%
Other values (152) 530
52.6%
Common
ValueCountFrequency (%)
58
74.4%
) 8
 
10.3%
( 7
 
9.0%
· 1
 
1.3%
5 1
 
1.3%
2 1
 
1.3%
. 1
 
1.3%
6 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1008
92.8%
ASCII 77
 
7.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
남 93
 
9.2%
해 91
 
9.0%
회 90
 
8.9%
군 64
 
6.3%
지 35
 
3.5%
협 25
 
2.5%
자 20
 
2.0%
의 20
 
2.0%
사 20
 
2.0%
연 20
 
2.0%
Other values (152) 530
52.6%
ASCII
ValueCountFrequency (%)
58
75.3%
) 8
 
10.4%
( 7
 
9.1%
5 1
 
1.3%
2 1
 
1.3%
. 1
 
1.3%
6 1
 
1.3%
None
ValueCountFrequency (%)
· 1
100.0%

대표자
Text

Distinct93
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-11T10:02:52.943410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9895833
Min length2

Characters and Unicode

Total characters287
Distinct characters97
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

Unique90 ?
Unique (%)93.8%

Sample

1st row허윤호
2nd row황광석
3rd row김문천
4th row김병주
5th row정수정
ValueCountFrequency (%)
류영환 2
 
2.1%
최옥심 2
 
2.1%
박춘식 2
 
2.1%
최상록 1
 
1.0%
정흔엽 1
 
1.0%
문준홍 1
 
1.0%
류성일 1
 
1.0%
박주숙 1
 
1.0%
장성근 1
 
1.0%
박현수 1
 
1.0%
Other values (83) 83
86.5%
2023-12-11T10:02:53.403733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 16
 
5.6%
박 13
 
4.5%
정 12
 
4.2%
영 11
 
3.8%
이 10
 
3.5%
준 8
 
2.8%
최 7
 
2.4%
철 7
 
2.4%
옥 7
 
2.4%
류 7
 
2.4%
Other values (87) 189
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 16
 
5.6%
박 13
 
4.5%
정 12
 
4.2%
영 11
 
3.8%
이 10
 
3.5%
준 8
 
2.8%
최 7
 
2.4%
철 7
 
2.4%
옥 7
 
2.4%
류 7
 
2.4%
Other values (87) 189
65.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 16
 
5.6%
박 13
 
4.5%
정 12
 
4.2%
영 11
 
3.8%
이 10
 
3.5%
준 8
 
2.8%
최 7
 
2.4%
철 7
 
2.4%
옥 7
 
2.4%
류 7
 
2.4%
Other values (87) 189
65.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 16
 
5.6%
박 13
 
4.5%
정 12
 
4.2%
영 11
 
3.8%
이 10
 
3.5%
준 8
 
2.8%
최 7
 
2.4%
철 7
 
2.4%
옥 7
 
2.4%
류 7
 
2.4%
Other values (87) 189
65.9%

주소
Text

Distinct87
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-11T10:02:53.772877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length28
Mean length22.604167
Min length14

Characters and Unicode

Total characters2170
Distinct characters95
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

Unique80 ?
Unique (%)83.3%

Sample

1st row경상남도 남해군 남해읍 화전로 99
2nd row경상남도 남해군 남해읍 남해대로 2935-4
3rd row경상남도 남해군 고현면 탑동로 37
4th row경상남도 남해군 남해읍 화전로 16-5
5th row경상남도 남해군 남해읍 화전로 67
ValueCountFrequency (%)
경상남도 96
19.6%
남해군 94
19.2%
남해읍 55
 
11.2%
화전로 15
 
3.1%
이동면 10
 
2.0%
남해대로 10
 
2.0%
망운로 9
 
1.8%
미조면 6
 
1.2%
서면 5
 
1.0%
망운로9번길 5
 
1.0%
Other values (134) 184
37.6%
2023-12-11T10:02:54.184821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
394
18.2%
남 268
 
12.4%
해 163
 
7.5%
상 98
 
4.5%
경 96
 
4.4%
도 96
 
4.4%
군 94
 
4.3%
로 91
 
4.2%
1 75
 
3.5%
2 57
 
2.6%
Other values (85) 738
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1367
63.0%
Space Separator 394
 
18.2%
Decimal Number 362
 
16.7%
Dash Punctuation 37
 
1.7%
Other Punctuation 4
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 268
19.6%
해 163
11.9%
상 98
 
7.2%
경 96
 
7.0%
도 96
 
7.0%
군 94
 
6.9%
로 91
 
6.7%
읍 55
 
4.0%
길 40
 
2.9%
번 38
 
2.8%
Other values (70) 328
24.0%
Decimal Number
ValueCountFrequency (%)
1 75
20.7%
2 57
15.7%
6 39
10.8%
3 38
10.5%
9 29
 
8.0%
7 27
 
7.5%
4 27
 
7.5%
5 25
 
6.9%
0 23
 
6.4%
8 22
 
6.1%
Space Separator
ValueCountFrequency (%)
394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1367
63.0%
Common 803
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 268
19.6%
해 163
11.9%
상 98
 
7.2%
경 96
 
7.0%
도 96
 
7.0%
군 94
 
6.9%
로 91
 
6.7%
읍 55
 
4.0%
길 40
 
2.9%
번 38
 
2.8%
Other values (70) 328
24.0%
Common
ValueCountFrequency (%)
394
49.1%
1 75
 
9.3%
2 57
 
7.1%
6 39
 
4.9%
3 38
 
4.7%
- 37
 
4.6%
9 29
 
3.6%
7 27
 
3.4%
4 27
 
3.4%
5 25
 
3.1%
Other values (5) 55
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1367
63.0%
ASCII 803
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
394
49.1%
1 75
 
9.3%
2 57
 
7.1%
6 39
 
4.9%
3 38
 
4.7%
- 37
 
4.6%
9 29
 
3.6%
7 27
 
3.4%
4 27
 
3.4%
5 25
 
3.1%
Other values (5) 55
 
6.8%
Hangul
ValueCountFrequency (%)
남 268
19.6%
해 163
11.9%
상 98
 
7.2%
경 96
 
7.0%
도 96
 
7.0%
군 94
 
6.9%
로 91
 
6.7%
읍 55
 
4.0%
길 40
 
2.9%
번 38
 
2.8%
Other values (70) 328
24.0%

우편번호
Real number (ℝ)

Distinct36
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52425.469
Minimum52401
Maximum52453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-11T10:02:54.607963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52401
5-th percentile52408.5
Q152419
median52424
Q352430.25
95-th percentile52445.75
Maximum52453
Range52
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation11.571247
Coefficient of variation (CV)0.00022071804
Kurtosis-0.041467061
Mean52425.469
Median Absolute Deviation (MAD)6
Skewness0.40631575
Sum5032845
Variance133.89375
MonotonicityNot monotonic
2023-12-11T10:02:54.734817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
52424 9
 
9.4%
52426 7
 
7.3%
52419 7
 
7.3%
52442 5
 
5.2%
52420 5
 
5.2%
52417 4
 
4.2%
52427 4
 
4.2%
52425 4
 
4.2%
52423 3
 
3.1%
52413 3
 
3.1%
Other values (26) 45
46.9%
ValueCountFrequency (%)
52401 1
 
1.0%
52403 1
 
1.0%
52404 2
2.1%
52407 1
 
1.0%
52409 2
2.1%
52410 1
 
1.0%
52411 1
 
1.0%
52412 2
2.1%
52413 3
3.1%
52414 2
2.1%
ValueCountFrequency (%)
52453 3
3.1%
52448 2
 
2.1%
52445 1
 
1.0%
52443 3
3.1%
52442 5
5.2%
52441 2
 
2.1%
52440 1
 
1.0%
52438 1
 
1.0%
52437 1
 
1.0%
52432 3
3.1%

전화번호
Text

Distinct63
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-11T10:02:54.951253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.3125
Min length12

Characters and Unicode

Total characters1182
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)62.5%

Sample

1st row055-864-5378
2nd row055-864-5379
3rd row055-864-5380
4th row055-864-5381
5th row055-864-5382
ValueCountFrequency (%)
000-0000-0000 29
30.2%
055-864-4650 4
 
4.2%
055-862-0443 3
 
3.1%
055-860-3529 1
 
1.0%
055-864-2979 1
 
1.0%
055-864-5378 1
 
1.0%
055-864-7774 1
 
1.0%
055-863-3611 1
 
1.0%
055-867-2010 1
 
1.0%
055-864-5550 1
 
1.0%
Other values (53) 53
55.2%
2023-12-11T10:02:55.270470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 427
36.1%
- 192
16.2%
5 180
15.2%
6 93
 
7.9%
8 90
 
7.6%
4 58
 
4.9%
3 47
 
4.0%
2 34
 
2.9%
7 29
 
2.5%
1 19
 
1.6%
Other values (2) 13
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 989
83.7%
Dash Punctuation 192
 
16.2%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 427
43.2%
5 180
18.2%
6 93
 
9.4%
8 90
 
9.1%
4 58
 
5.9%
3 47
 
4.8%
2 34
 
3.4%
7 29
 
2.9%
1 19
 
1.9%
9 12
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1182
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 427
36.1%
- 192
16.2%
5 180
15.2%
6 93
 
7.9%
8 90
 
7.6%
4 58
 
4.9%
3 47
 
4.0%
2 34
 
2.9%
7 29
 
2.5%
1 19
 
1.6%
Other values (2) 13
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 427
36.1%
- 192
16.2%
5 180
15.2%
6 93
 
7.9%
8 90
 
7.6%
4 58
 
4.9%
3 47
 
4.0%
2 34
 
2.9%
7 29
 
2.5%
1 19
 
1.6%
Other values (2) 13
 
1.1%

Interactions

2023-12-11T10:02:51.441795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T10:02:55.367595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분단체명대표자주소우편번호전화번호
구분1.0001.0000.8530.9970.5360.917
단체명1.0001.0001.0001.0001.0001.000
대표자0.8531.0001.0000.9970.7830.977
주소0.9971.0000.9971.0000.9910.890
우편번호0.5361.0000.7830.9911.0000.000
전화번호0.9171.0000.9770.8900.0001.000
2023-12-11T10:02:55.458649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호구분
우편번호1.0000.227
구분0.2271.000

Missing values

2023-12-11T10:02:51.561336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:02:51.691200image/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

구분단체명대표자주소우편번호전화번호
0기타기관창원지방법원 남해등기소허윤호경상남도 남해군 남해읍 화전로 9952415055-864-5378
1기타기관남해군선거관리위원회황광석경상남도 남해군 남해읍 남해대로 2935-452412055-864-5379
2기타기관국립농산물품질관리원 경상남도지원남해사무소김문천경상남도 남해군 고현면 탑동로 3752404055-864-5380
3공사한국농어촌공사 하동남해지사 남해지소김병주경상남도 남해군 남해읍 화전로 16-552423055-864-5381
4공사국민건강보험공단 하동남해지사남해출장소정수정경상남도 남해군 남해읍 화전로 6752424055-864-5382
5행정보조단체민주평화통일자문회의남해군협의회김창우경상남도 남해군 남해읍 망운로9번길 1252425055-864-5383
6행정보조단체전국이·통장연합회남해군지회임지용경상남도 남해군 미조면 미송로12번길 6-652442000-0000-0000
7행정보조단체새마을운동 남해군지회정철경상남도 남해군 남해읍 망운로10번길 1052420055-864-4650
8행정보조단체새마을지도자 남해군협의회백봉창경상남도 남해군 미조면 남해대로 284-1152441055-864-4650
9행정보조단체남해군새마을부녀회곽영순경상남도 남해군 창선면 서부로 126652420055-864-4650
구분단체명대표자주소우편번호전화번호
86그외단체미송새마을금고김정화경상남도 남해군 미조면 미조로 236번길21-552442055-867-6488
87그외단체새남해새마을금고하영종경상남도 남해군 이동면 남서대로 19652438055-862-6543
88그외단체남해향교박정문경상남도 남해군 망운로10번길 5152418055-864-3069
89그외단체남해군지방행정동우회하종준경상남도 남해군 망운로9번길 42-1752426055-860-3529
90그외단체남해재향경우회장오정현경상남도 남해군 이동면 난음로122번길 852443000-0000-0000
91그외단체남해청년회의소탁동화경상남도 남해군 남해읍 스포츠로 10752428055-864-2979
92그외단체남해문화사랑회서재심경상남도 남해군 남해읍 망운로61번길 17, 102동 601호(파크에비뉴2차)52426055-860-8595
93그외단체남해군문화관광해설사회정흔엽경상남도 남해군 망운로7752417000-0000-0000
94그외단체남해바래길 사람들최상록경상남도 남해군 이동면 성남로 9952432055-863-8778
95그외단체남해산악회신희철경상남도 남해군 남해읍 화전로 70-152424000-0000-0000