Overview

Dataset statistics

Number of variables8
Number of observations35
Missing cells105
Missing cells (%)37.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory71.8 B

Variable types

Categorical1
Text3
Numeric1
Unsupported3

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

Unnamed: 5 has 35 (100.0%) missing valuesMissing
Unnamed: 6 has 35 (100.0%) missing valuesMissing
Unnamed: 7 has 35 (100.0%) missing valuesMissing
기관단체명 has unique valuesUnique
대표자 has unique valuesUnique
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-01-09 21:53:23.510756
Analysis finished2024-01-09 21:53:23.961002
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
보훈
11 
여성아동청소년
10 
복지
9 
장애인
5 

Length

Max length7
Median length2
Mean length3.5714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보훈 11
31.4%
여성아동청소년 10
28.6%
복지 9
25.7%
장애인 5
14.3%

Length

2024-01-10T06:53:24.012751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:53:24.090976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보훈 11
31.4%
여성아동청소년 10
28.6%
복지 9
25.7%
장애인 5
14.3%

기관단체명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-01-10T06:53:24.248000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length13.371429
Min length8

Characters and Unicode

Total characters468
Distinct characters103
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

Unique35 ?
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
 
17.2%
충남지부 6
 
10.3%
대한민국 3
 
5.2%
청양군 2
 
3.4%
대한민국전몰군경유족회 1
 
1.7%
정산지역아동센터 1
 
1.7%
청양군청소년문화의집 1
 
1.7%
청양군여성단체협의회 1
 
1.7%
새샘가족상담센터 1
 
1.7%
청양군어린이집연합회 1
 
1.7%
Other values (31) 31
53.4%
2024-01-10T06:53:24.534900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 33
 
7.1%
회 33
 
7.1%
군 32
 
6.8%
지 32
 
6.8%
양 31
 
6.6%
23
 
4.9%
남 12
 
2.6%
충 11
 
2.4%
인 10
 
2.1%
부 9
 
1.9%
Other values (93) 242
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 431
92.1%
Space Separator 23
 
4.9%
Decimal Number 6
 
1.3%
Open Punctuation 3
 
0.6%
Close Punctuation 3
 
0.6%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 33
 
7.7%
회 33
 
7.7%
군 32
 
7.4%
지 32
 
7.4%
양 31
 
7.2%
남 12
 
2.8%
충 11
 
2.6%
인 10
 
2.3%
부 9
 
2.1%
터 9
 
2.1%
Other values (84) 219
50.8%
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%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 431
92.1%
Common 37
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 33
 
7.7%
회 33
 
7.7%
군 32
 
7.4%
지 32
 
7.4%
양 31
 
7.2%
남 12
 
2.8%
충 11
 
2.6%
인 10
 
2.3%
부 9
 
2.1%
터 9
 
2.1%
Other values (84) 219
50.8%
Common
ValueCountFrequency (%)
23
62.2%
2 3
 
8.1%
( 3
 
8.1%
) 3
 
8.1%
· 1
 
2.7%
5 1
 
2.7%
. 1
 
2.7%
6 1
 
2.7%
7 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 431
92.1%
ASCII 36
 
7.7%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 33
 
7.7%
회 33
 
7.7%
군 32
 
7.4%
지 32
 
7.4%
양 31
 
7.2%
남 12
 
2.8%
충 11
 
2.6%
인 10
 
2.3%
부 9
 
2.1%
터 9
 
2.1%
Other values (84) 219
50.8%
ASCII
ValueCountFrequency (%)
23
63.9%
2 3
 
8.3%
( 3
 
8.3%
) 3
 
8.3%
5 1
 
2.8%
. 1
 
2.8%
6 1
 
2.8%
7 1
 
2.8%
None
ValueCountFrequency (%)
· 1
100.0%

대표자
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-01-10T06:53:24.709154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1428571
Min length3

Characters and Unicode

Total characters110
Distinct characters69
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%
이두영 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%
박분희 1
 
2.8%
이병운 1
 
2.8%
Other values (26) 26
72.2%
2024-01-10T06:53:24.972068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 10
 
9.1%
희 5
 
4.5%
박 5
 
4.5%
일 4
 
3.6%
재 3
 
2.7%
주 3
 
2.7%
기 3
 
2.7%
순 3
 
2.7%
강 3
 
2.7%
근 2
 
1.8%
Other values (59) 69
62.7%

Most occurring categories

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

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
9.2%
희 5
 
4.6%
박 5
 
4.6%
일 4
 
3.7%
재 3
 
2.8%
주 3
 
2.8%
기 3
 
2.8%
순 3
 
2.8%
강 3
 
2.8%
근 2
 
1.8%
Other values (58) 68
62.4%
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 10
 
9.2%
희 5
 
4.6%
박 5
 
4.6%
일 4
 
3.7%
재 3
 
2.8%
주 3
 
2.8%
기 3
 
2.8%
순 3
 
2.8%
강 3
 
2.8%
근 2
 
1.8%
Other values (58) 68
62.4%
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 10
 
9.2%
희 5
 
4.6%
박 5
 
4.6%
일 4
 
3.7%
재 3
 
2.8%
주 3
 
2.8%
기 3
 
2.8%
순 3
 
2.8%
강 3
 
2.8%
근 2
 
1.8%
Other values (58) 68
62.4%
ASCII
ValueCountFrequency (%)
1
100.0%

회원수
Real number (ℝ)

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean504.34286
Minimum3
Maximum8274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-01-10T06:53:25.077504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5.4
Q120.5
median50
Q3126.5
95-th percentile2689.8
Maximum8274
Range8271
Interquartile range (IQR)106

Descriptive statistics

Standard deviation1550.2576
Coefficient of variation (CV)3.0738169
Kurtosis19.839933
Mean504.34286
Median Absolute Deviation (MAD)40
Skewness4.3048628
Sum17652
Variance2403298.6
MonotonicityNot monotonic
2024-01-10T06:53:25.167154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
29 3
 
8.6%
62 2
 
5.7%
90 2
 
5.7%
8 1
 
2.9%
1000 1
 
2.9%
4 1
 
2.9%
15 1
 
2.9%
12 1
 
2.9%
50 1
 
2.9%
3 1
 
2.9%
Other values (21) 21
60.0%
ValueCountFrequency (%)
3 1
2.9%
4 1
2.9%
6 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
12 1
2.9%
15 1
2.9%
19 1
2.9%
22 1
2.9%
ValueCountFrequency (%)
8274 1
2.9%
4024 1
2.9%
2118 1
2.9%
1000 1
2.9%
548 1
2.9%
209 1
2.9%
160 1
2.9%
153 1
2.9%
150 1
2.9%
103 1
2.9%

주 소
Text

Distinct20
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-01-10T06:53:25.318899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length25.771429
Min length19

Characters and Unicode

Total characters902
Distinct characters63
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

Unique16 ?
Unique (%)45.7%

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 35
17.7%
청양군 35
17.7%
청양읍 20
 
10.1%
중앙로12길 10
 
5.1%
23 10
 
5.1%
보훈회관내 10
 
5.1%
칠갑산로9길 7
 
3.5%
32 7
 
3.5%
복지타운 6
 
3.0%
b동 6
 
3.0%
Other values (38) 52
26.3%
2024-01-10T06:53:25.577806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
18.3%
청 91
 
10.1%
양 56
 
6.2%
남 36
 
4.0%
2 36
 
4.0%
충 35
 
3.9%
도 35
 
3.9%
군 35
 
3.9%
로 29
 
3.2%
3 26
 
2.9%
Other values (53) 358
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
63.0%
Space Separator 165
 
18.3%
Decimal Number 128
 
14.2%
Open Punctuation 13
 
1.4%
Close Punctuation 13
 
1.4%
Uppercase Letter 7
 
0.8%
Dash Punctuation 6
 
0.7%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 91
16.0%
양 56
 
9.9%
남 36
 
6.3%
충 35
 
6.2%
도 35
 
6.2%
군 35
 
6.2%
로 29
 
5.1%
길 26
 
4.6%
읍 20
 
3.5%
산 15
 
2.6%
Other values (37) 190
33.5%
Decimal Number
ValueCountFrequency (%)
2 36
28.1%
3 26
20.3%
1 22
17.2%
8 9
 
7.0%
9 9
 
7.0%
4 8
 
6.2%
7 6
 
4.7%
0 5
 
3.9%
6 4
 
3.1%
5 3
 
2.3%
Space Separator
ValueCountFrequency (%)
165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 568
63.0%
Common 327
36.3%
Latin 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 91
16.0%
양 56
 
9.9%
남 36
 
6.3%
충 35
 
6.2%
도 35
 
6.2%
군 35
 
6.2%
로 29
 
5.1%
길 26
 
4.6%
읍 20
 
3.5%
산 15
 
2.6%
Other values (37) 190
33.5%
Common
ValueCountFrequency (%)
165
50.5%
2 36
 
11.0%
3 26
 
8.0%
1 22
 
6.7%
( 13
 
4.0%
) 13
 
4.0%
8 9
 
2.8%
9 9
 
2.8%
4 8
 
2.4%
- 6
 
1.8%
Other values (5) 20
 
6.1%
Latin
ValueCountFrequency (%)
B 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
63.0%
ASCII 334
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
49.4%
2 36
 
10.8%
3 26
 
7.8%
1 22
 
6.6%
( 13
 
3.9%
) 13
 
3.9%
8 9
 
2.7%
9 9
 
2.7%
4 8
 
2.4%
B 7
 
2.1%
Other values (6) 26
 
7.8%
Hangul
ValueCountFrequency (%)
청 91
16.0%
양 56
 
9.9%
남 36
 
6.3%
충 35
 
6.2%
도 35
 
6.2%
군 35
 
6.2%
로 29
 
5.1%
길 26
 
4.6%
읍 20
 
3.5%
산 15
 
2.6%
Other values (37) 190
33.5%

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

Interactions

2024-01-10T06:53:23.753764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:53:25.651105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관단체명대표자회원수주 소
구분1.0001.0001.0000.0000.995
기관단체명1.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.000
회원수0.0001.0001.0001.0000.091
주 소0.9951.0001.0000.0911.000
2024-01-10T06:53:25.735042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회원수구분
회원수1.0000.000
구분0.0001.000

Missing values

2024-01-10T06:53:23.835079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:53:23.925581image/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 소Unnamed: 5Unnamed: 6Unnamed: 7
0보훈대한민국전몰군경유족회 충남지부 청양군지회윤성노50충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA><NA><NA>
1보훈대한민국상이군경회 충남지부 청양군지회류근태62충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA><NA><NA>
2보훈대한민국전몰군경미망인회 충남지부 청양군지회이기순40충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA><NA><NA>
3보훈대한민국 무공수훈자회 충남지부 청양군지회정인관153충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA><NA><NA>
4보훈광복회충남지부 청양군지회윤일수28충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA><NA><NA>
5보훈대한민국6.25참전유공자회 충남지부 청양군지회이지원160충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA><NA><NA>
6보훈대한민국 고엽제 전우회 충남지부 청양군지회장일주62충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA><NA><NA>
7보훈청양군 전몰군경227복지회이주언150충청남도 청양군 청양읍 중앙로148 (2층)<NA><NA><NA>
8보훈대한민국 월남전참전자회 청양군지회오재규78충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA><NA><NA>
9보훈청양군 독립유공자 유족회이두영67충청남도 청양군 청양읍 중앙로12길 23 (보훈회관내)<NA><NA><NA>
구분기관단체명대표자회원수주 소Unnamed: 5Unnamed: 6Unnamed: 7
25여성아동청소년정산지역아동센터박현애19충청남도 청양군 정산면 정현2길 22-7<NA><NA><NA>
26여성아동청소년화성지역아동센터최호춘29충청남도 청양군 화성면 구봉로 17<NA><NA><NA>
27여성아동청소년청양군청소년문화의집청양군6충청남도 청양군 청양읍 문화예술로 187<NA><NA><NA>
28여성아동청소년숭의청소년수련원한문우22충청남도 청양군 남양면 구룡길 586<NA><NA><NA>
29여성아동청소년군포시청소년수련원한국희9충청남도 청양군 화성면 정자골길100-43<NA><NA><NA>
30장애인(사)충남시각장애인협회청양군지회홍순복90충청남도 청양군 중앙로 66,나동 101호<NA><NA><NA>
31장애인(사)충남농아인협회청양군지회함미경47충청남도 청양군 청양읍 칠갑산로 258(2층)<NA><NA><NA>
32장애인(사)충남지체장애인협회 청양군지회이민우548충청남도 청양군 청양읍 칠갑산로 87<NA><NA><NA>
33장애인충남서부장애인복지관청양분관강찬규 직무대리209충청남도 청양군 청양읍 월촌길 38<NA><NA><NA>
34장애인청양군장애인재활근로센터이중연29충청남도 청양군 청양읍 칠갑산로 87<NA><NA><NA>