Overview

Dataset statistics

Number of variables6
Number of observations36
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory52.7 B

Variable types

Categorical2
Text3
Numeric1

Dataset

Description충청남도 청양군의 보훈, 여성, 아동, 청년, 복지, 장애인 단체의 기관단체명, 대표자, 회원수, 주소를 나타낸 데이터입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=428&beforeMenuCd=DOM_000000201001001000&publicdatapk=3076258

Alerts

삭제 사유 is highly overall correlated with 회원수 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 삭제 사유High correlation
회원수 is highly overall correlated with 삭제 사유High correlation
대표자 has 1 (2.8%) missing valuesMissing
기관단체명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:53:20.377071
Analysis finished2024-01-09 21:53:20.779278
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
보훈
11 
여성아동청소년
10 
복지
9 
장애인
6 

Length

Max length7
Median length2
Mean length3.5555556
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보훈 11
30.6%
여성아동청소년 10
27.8%
복지 9
25.0%
장애인 6
16.7%

Length

2024-01-10T06:53:20.827609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:53:20.906716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보훈 11
30.6%
여성아동청소년 10
27.8%
복지 9
25.0%
장애인 6
16.7%

기관단체명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-01-10T06:53:21.068647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length13.472222
Min length8

Characters and Unicode

Total characters485
Distinct characters105
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

Unique36 ?
Unique (%)100.0%

Sample

1st row대한민국전몰군경유족회 충남지부 청양군지회
2nd row대한민국상이군경회 충남지부 청양군지회
3rd row대한민국전몰군경미망인회 충남지부 청양군지회
4th row대한민국 무공수훈자회 충남지부 청양군지회
5th row광복회충남지부 청양군지회
ValueCountFrequency (%)
청양군지회 10
 
16.9%
충남지부 6
 
10.2%
대한민국 3
 
5.1%
청양군 2
 
3.4%
대한민국전몰군경유족회 1
 
1.7%
정산지역아동센터 1
 
1.7%
청양군시니어클럽 1
 
1.7%
화성지역아동센터 1
 
1.7%
청양군여성단체협의회 1
 
1.7%
새샘가족상담센터 1
 
1.7%
Other values (32) 32
54.2%
2024-01-10T06:53:21.350657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 35
 
7.2%
청 35
 
7.2%
지 33
 
6.8%
양 32
 
6.6%
군 32
 
6.6%
23
 
4.7%
남 13
 
2.7%
충 12
 
2.5%
인 11
 
2.3%
부 10
 
2.1%
Other values (95) 249
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
92.0%
Space Separator 23
 
4.7%
Decimal Number 6
 
1.2%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 35
 
7.8%
청 35
 
7.8%
지 33
 
7.4%
양 32
 
7.2%
군 32
 
7.2%
남 13
 
2.9%
충 12
 
2.7%
인 11
 
2.5%
부 10
 
2.2%
센 9
 
2.0%
Other values (86) 224
50.2%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
5 1
 
16.7%
6 1
 
16.7%
7 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
92.0%
Common 39
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 35
 
7.8%
청 35
 
7.8%
지 33
 
7.4%
양 32
 
7.2%
군 32
 
7.2%
남 13
 
2.9%
충 12
 
2.7%
인 11
 
2.5%
부 10
 
2.2%
센 9
 
2.0%
Other values (86) 224
50.2%
Common
ValueCountFrequency (%)
23
59.0%
) 4
 
10.3%
( 4
 
10.3%
2 3
 
7.7%
· 1
 
2.6%
5 1
 
2.6%
. 1
 
2.6%
6 1
 
2.6%
7 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
92.0%
ASCII 38
 
7.8%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 35
 
7.8%
청 35
 
7.8%
지 33
 
7.4%
양 32
 
7.2%
군 32
 
7.2%
남 13
 
2.9%
충 12
 
2.7%
인 11
 
2.5%
부 10
 
2.2%
센 9
 
2.0%
Other values (86) 224
50.2%
ASCII
ValueCountFrequency (%)
23
60.5%
) 4
 
10.5%
( 4
 
10.5%
2 3
 
7.9%
5 1
 
2.6%
. 1
 
2.6%
6 1
 
2.6%
7 1
 
2.6%
None
ValueCountFrequency (%)
· 1
100.0%

대표자
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing1
Missing (%)2.8%
Memory size420.0 B
2024-01-10T06:53:21.528787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1428571
Min length3

Characters and Unicode

Total characters110
Distinct characters70
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

Unique35 ?
Unique (%)100.0%

Sample

1st row윤성노
2nd row류근태
3rd row이기순
4th row정인관
5th row윤일수
ValueCountFrequency (%)
윤성노 1
 
2.8%
류근태 1
 
2.8%
이일순 1
 
2.8%
정묘섭 1
 
2.8%
신재선 1
 
2.8%
이재철 1
 
2.8%
박명옥 1
 
2.8%
박현애 1
 
2.8%
청양군 1
 
2.8%
이중연 1
 
2.8%
Other values (26) 26
72.2%
2024-01-10T06:53:21.790992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 9
 
8.2%
희 5
 
4.5%
박 4
 
3.6%
기 3
 
2.7%
일 3
 
2.7%
정 3
 
2.7%
순 3
 
2.7%
주 3
 
2.7%
재 3
 
2.7%
한 2
 
1.8%
Other values (60) 72
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109
99.1%
Space Separator 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 9
 
8.3%
희 5
 
4.6%
박 4
 
3.7%
기 3
 
2.8%
일 3
 
2.8%
정 3
 
2.8%
순 3
 
2.8%
주 3
 
2.8%
재 3
 
2.8%
한 2
 
1.8%
Other values (59) 71
65.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109
99.1%
Common 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 9
 
8.3%
희 5
 
4.6%
박 4
 
3.7%
기 3
 
2.8%
일 3
 
2.8%
정 3
 
2.8%
순 3
 
2.8%
주 3
 
2.8%
재 3
 
2.8%
한 2
 
1.8%
Other values (59) 71
65.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109
99.1%
ASCII 1
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 9
 
8.3%
희 5
 
4.6%
박 4
 
3.7%
기 3
 
2.8%
일 3
 
2.8%
정 3
 
2.8%
순 3
 
2.8%
주 3
 
2.8%
재 3
 
2.8%
한 2
 
1.8%
Other values (59) 71
65.1%
ASCII
ValueCountFrequency (%)
1
100.0%

회원수
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean524.30556
Minimum3
Maximum9478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-01-10T06:53:21.889917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5.5
Q121.25
median47
Q3114.75
95-th percentile2594.5
Maximum9478
Range9475
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation1707.8957
Coefficient of variation (CV)3.2574435
Kurtosis22.976576
Mean524.30556
Median Absolute Deviation (MAD)36
Skewness4.6243183
Sum18875
Variance2916907.8
MonotonicityNot monotonic
2024-01-10T06:53:21.980562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
29 3
 
8.3%
62 2
 
5.6%
40 2
 
5.6%
28 2
 
5.6%
19 1
 
2.8%
1000 1
 
2.8%
4 1
 
2.8%
15 1
 
2.8%
12 1
 
2.8%
50 1
 
2.8%
Other values (21) 21
58.3%
ValueCountFrequency (%)
3 1
2.8%
4 1
2.8%
6 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
12 1
2.8%
15 1
2.8%
19 1
2.8%
22 1
2.8%
ValueCountFrequency (%)
9478 1
2.8%
4024 1
2.8%
2118 1
2.8%
1000 1
2.8%
548 1
2.8%
209 1
2.8%
160 1
2.8%
153 1
2.8%
150 1
2.8%
103 1
2.8%

주 소
Text

Distinct19
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-01-10T06:53:22.130719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length25.277778
Min length19

Characters and Unicode

Total characters910
Distinct characters62
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

Unique15 ?
Unique (%)41.7%

Sample

1st row충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)
2nd row충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)
3rd row충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)
4th row충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)
5th row충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)
ValueCountFrequency (%)
충청남도 36
17.7%
청양군 36
17.7%
청양읍 22
10.8%
중앙로12길 10
 
4.9%
23 10
 
4.9%
보훈회관내 10
 
4.9%
칠갑산로9길 7
 
3.4%
32 7
 
3.4%
복지타운 6
 
3.0%
b동 6
 
3.0%
Other values (36) 53
26.1%
2024-01-10T06:53:22.388745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
18.6%
청 95
 
10.4%
양 59
 
6.5%
남 37
 
4.1%
군 36
 
4.0%
충 36
 
4.0%
도 36
 
4.0%
2 34
 
3.7%
3 34
 
3.7%
길 30
 
3.3%
Other values (52) 344
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 578
63.5%
Space Separator 169
 
18.6%
Decimal Number 125
 
13.7%
Close Punctuation 12
 
1.3%
Open Punctuation 12
 
1.3%
Uppercase Letter 7
 
0.8%
Dash Punctuation 6
 
0.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 95
16.4%
양 59
 
10.2%
남 37
 
6.4%
군 36
 
6.2%
충 36
 
6.2%
도 36
 
6.2%
길 30
 
5.2%
로 26
 
4.5%
읍 22
 
3.8%
산 13
 
2.2%
Other values (36) 188
32.5%
Decimal Number
ValueCountFrequency (%)
2 34
27.2%
3 34
27.2%
1 20
16.0%
9 9
 
7.2%
4 8
 
6.4%
8 7
 
5.6%
7 5
 
4.0%
0 4
 
3.2%
6 2
 
1.6%
5 2
 
1.6%
Space Separator
ValueCountFrequency (%)
169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 578
63.5%
Common 325
35.7%
Latin 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 95
16.4%
양 59
 
10.2%
남 37
 
6.4%
군 36
 
6.2%
충 36
 
6.2%
도 36
 
6.2%
길 30
 
5.2%
로 26
 
4.5%
읍 22
 
3.8%
산 13
 
2.2%
Other values (36) 188
32.5%
Common
ValueCountFrequency (%)
169
52.0%
2 34
 
10.5%
3 34
 
10.5%
1 20
 
6.2%
) 12
 
3.7%
( 12
 
3.7%
9 9
 
2.8%
4 8
 
2.5%
8 7
 
2.2%
- 6
 
1.8%
Other values (5) 14
 
4.3%
Latin
ValueCountFrequency (%)
B 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 578
63.5%
ASCII 332
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
50.9%
2 34
 
10.2%
3 34
 
10.2%
1 20
 
6.0%
) 12
 
3.6%
( 12
 
3.6%
9 9
 
2.7%
4 8
 
2.4%
B 7
 
2.1%
8 7
 
2.1%
Other values (6) 20
 
6.0%
Hangul
ValueCountFrequency (%)
청 95
16.4%
양 59
 
10.2%
남 37
 
6.4%
군 36
 
6.2%
충 36
 
6.2%
도 36
 
6.2%
길 30
 
5.2%
로 26
 
4.5%
읍 22
 
3.8%
산 13
 
2.2%
Other values (36) 188
32.5%

삭제 사유
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
20 
단체 아니고 시설로 삭제 처리
16 

Length

Max length16
Median length4
Mean length9.3333333
Min length4

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> 20
55.6%
단체 아니고 시설로 삭제 처리 16
44.4%

Length

2024-01-10T06:53:22.490481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:53:22.793025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
20.0%
단체 16
16.0%
아니고 16
16.0%
시설로 16
16.0%
삭제 16
16.0%
처리 16
16.0%

Interactions

2024-01-10T06:53:20.594322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:53:22.843706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관단체명대표자회원수주 소
구분1.0001.0001.0000.0730.971
기관단체명1.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.000
회원수0.0731.0001.0001.0000.529
주 소0.9711.0001.0000.5291.000
2024-01-10T06:53:22.918126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
삭제 사유구분
삭제 사유1.0001.000
구분1.0001.000
2024-01-10T06:53:22.983948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회원수구분삭제 사유
회원수1.0000.0001.000
구분0.0001.0001.000
삭제 사유1.0001.0001.000

Missing values

2024-01-10T06:53:20.670330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:53:20.748288image/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

구분기관단체명대표자회원수주 소삭제 사유
0보훈대한민국전몰군경유족회 충남지부 청양군지회윤성노50충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA>
1보훈대한민국상이군경회 충남지부 청양군지회류근태62충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA>
2보훈대한민국전몰군경미망인회 충남지부 청양군지회이기순40충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA>
3보훈대한민국 무공수훈자회 충남지부 청양군지회정인관153충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA>
4보훈광복회충남지부 청양군지회윤일수28충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA>
5보훈대한민국6.25참전유공자회 충남지부 청양군지회이지원160충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA>
6보훈대한민국 고엽제 전우회 충남지부 청양군지회장일주62충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA>
7보훈청양군 전몰군경227복지회이주언150충청남도 청양군 청양읍 중앙로148 (2층)<NA>
8보훈대한민국 월남전참전자회 청양군지회오재규78충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA>
9보훈청양군 독립유공자 유족회이두영67충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA>
구분기관단체명대표자회원수주 소삭제 사유
26여성아동청소년화성지역아동센터최호춘29충청남도 청양군 화성면 구봉로 17단체 아니고 시설로 삭제 처리
27여성아동청소년청양군청소년문화의집청양군6충청남도 청양군 청양읍 문화예술로 187단체 아니고 시설로 삭제 처리
28여성아동청소년숭의청소년수련원한문우22충청남도 청양군 남양면 구룡길 586단체 아니고 시설로 삭제 처리
29여성아동청소년군포시청소년수련원한국희9충청남도 청양군 화성면 정자골길100-43단체 아니고 시설로 삭제 처리
30장애인(사)충남시각장애인협회청양군지회홍순복88충청남도 청양군 청양읍 월촌길 33<NA>
31장애인(사)충남농아인협회청양군지회함미경40충청남도 청양군 청양읍 월촌길 33<NA>
32장애인(사)충남지체장애인협회 청양군지회이민우548충청남도 청양군 청양읍 월촌길 33<NA>
33장애인충남서부장애인복지관청양분관강찬규 직무대리209충청남도 청양군 청양읍 월촌길 38단체 아니고 시설로 삭제 처리
34장애인청양군장애인재활근로센터이중연29충청남도 청양군 청양읍 칠갑산로 87단체 아니고 시설로 삭제 처리
35장애인(사)충청남도장애인부모회청양지회장희정28충청남도 청양군 청양읍 월촌길 33<NA>