Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells21
Missing cells (%)16.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory56.3 B

Variable types

Numeric1
Categorical1
Text3
Unsupported1

Dataset

Description충청남도 보령시 사회복지과에서 관리하는 여성아동청소년 관련 기관 단체명, 대표자, 주소에 대한 데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=424&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037780

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
회원수 has 21 (100.0%) missing valuesMissing
연번 has unique valuesUnique
기관단체명 has unique valuesUnique
대표자 has unique valuesUnique
회원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-01-09 22:26:23.235500
Analysis finished2024-01-09 22:26:23.659440
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T07:26:23.702303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-01-10T07:26:23.794136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
아동청소년
14 
노인복지
4 
여성가족
3 

Length

Max length5
Median length5
Mean length4.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노인복지
2nd row노인복지
3rd row노인복지
4th row노인복지
5th row여성가족

Common Values

ValueCountFrequency (%)
아동청소년 14
66.7%
노인복지 4
 
19.0%
여성가족 3
 
14.3%

Length

2024-01-10T07:26:23.896646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:26:23.978275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아동청소년 14
66.7%
노인복지 4
 
19.0%
여성가족 3
 
14.3%

기관단체명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-10T07:26:24.108881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.2380952
Min length5

Characters and Unicode

Total characters194
Distinct characters68
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

Unique21 ?
Unique (%)100.0%

Sample

1st row보령노인종합복지관
2nd row보령효나눔복지센터
3rd row보령노인복지센터
4th row보령시시니어클럽
5th row여성인력개발센터
ValueCountFrequency (%)
지역아동센터 8
25.8%
보령노인종합복지관 1
 
3.2%
보령아람 1
 
3.2%
대천오성 1
 
3.2%
청소년문화의집 1
 
3.2%
보령시청소년수련관 1
 
3.2%
지역이동센터 1
 
3.2%
열린 1
 
3.2%
옥토 1
 
3.2%
라온 1
 
3.2%
Other values (14) 14
45.2%
2024-01-10T07:26:24.353245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 14
 
7.2%
센 14
 
7.2%
지 13
 
6.7%
령 10
 
5.2%
아 10
 
5.2%
10
 
5.2%
보 10
 
5.2%
동 9
 
4.6%
역 9
 
4.6%
성 4
 
2.1%
Other values (58) 91
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 184
94.8%
Space Separator 10
 
5.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 14
 
7.6%
센 14
 
7.6%
지 13
 
7.1%
령 10
 
5.4%
아 10
 
5.4%
보 10
 
5.4%
동 9
 
4.9%
역 9
 
4.9%
성 4
 
2.2%
원 4
 
2.2%
Other values (57) 87
47.3%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 184
94.8%
Common 10
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 14
 
7.6%
센 14
 
7.6%
지 13
 
7.1%
령 10
 
5.4%
아 10
 
5.4%
보 10
 
5.4%
동 9
 
4.9%
역 9
 
4.9%
성 4
 
2.2%
원 4
 
2.2%
Other values (57) 87
47.3%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 184
94.8%
ASCII 10
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 14
 
7.6%
센 14
 
7.6%
지 13
 
7.1%
령 10
 
5.4%
아 10
 
5.4%
보 10
 
5.4%
동 9
 
4.9%
역 9
 
4.9%
성 4
 
2.2%
원 4
 
2.2%
Other values (57) 87
47.3%
ASCII
ValueCountFrequency (%)
10
100.0%

대표자
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-10T07:26:24.506644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters63
Distinct characters41
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

Unique21 ?
Unique (%)100.0%

Sample

1st row이승화
2nd row엄기욱
3rd row정성철
4th row김향희
5th row김재봉
ValueCountFrequency (%)
이승화 1
 
4.8%
안영준 1
 
4.8%
박찬이 1
 
4.8%
이성현 1
 
4.8%
김미희 1
 
4.8%
이금선 1
 
4.8%
윤혜경 1
 
4.8%
신영길 1
 
4.8%
남대현 1
 
4.8%
김선아 1
 
4.8%
Other values (11) 11
52.4%
2024-01-10T07:26:24.752312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
11.1%
이 5
 
7.9%
정 3
 
4.8%
선 2
 
3.2%
수 2
 
3.2%
현 2
 
3.2%
박 2
 
3.2%
영 2
 
3.2%
희 2
 
3.2%
재 2
 
3.2%
Other values (31) 34
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
11.1%
이 5
 
7.9%
정 3
 
4.8%
선 2
 
3.2%
수 2
 
3.2%
현 2
 
3.2%
박 2
 
3.2%
영 2
 
3.2%
희 2
 
3.2%
재 2
 
3.2%
Other values (31) 34
54.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
11.1%
이 5
 
7.9%
정 3
 
4.8%
선 2
 
3.2%
수 2
 
3.2%
현 2
 
3.2%
박 2
 
3.2%
영 2
 
3.2%
희 2
 
3.2%
재 2
 
3.2%
Other values (31) 34
54.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
11.1%
이 5
 
7.9%
정 3
 
4.8%
선 2
 
3.2%
수 2
 
3.2%
현 2
 
3.2%
박 2
 
3.2%
영 2
 
3.2%
희 2
 
3.2%
재 2
 
3.2%
Other values (31) 34
54.0%

회원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

주 소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-10T07:26:24.918904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.571429
Min length16

Characters and Unicode

Total characters453
Distinct characters65
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

Unique19 ?
Unique (%)90.5%

Sample

1st row충청남도 보령시 대천로 113 (죽정동)
2nd row충청남도 보령시 미산면 판미로 1471
3rd row충청남도 보령시 대천로 113 (죽정동)
4th row충청남도 보령시 보령북로 86-13 (대천동)
5th row충청남도 보령시 한내로 11 (동대동)
ValueCountFrequency (%)
충청남도 21
20.2%
보령시 21
20.2%
동대동 7
 
6.7%
대천로 3
 
2.9%
한내로 3
 
2.9%
대천동 3
 
2.9%
성주면 2
 
1.9%
보령남로 2
 
1.9%
죽정동 2
 
1.9%
113 2
 
1.9%
Other values (38) 38
36.5%
2024-01-10T07:26:25.178565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
18.3%
보 25
 
5.5%
령 25
 
5.5%
남 24
 
5.3%
청 23
 
5.1%
시 22
 
4.9%
충 21
 
4.6%
도 21
 
4.6%
동 21
 
4.6%
1 15
 
3.3%
Other values (55) 173
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
62.3%
Space Separator 83
 
18.3%
Decimal Number 57
 
12.6%
Close Punctuation 14
 
3.1%
Open Punctuation 14
 
3.1%
Dash Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 25
 
8.9%
령 25
 
8.9%
남 24
 
8.5%
청 23
 
8.2%
시 22
 
7.8%
충 21
 
7.4%
도 21
 
7.4%
동 21
 
7.4%
대 13
 
4.6%
로 12
 
4.3%
Other values (40) 75
26.6%
Decimal Number
ValueCountFrequency (%)
1 15
26.3%
3 10
17.5%
2 6
 
10.5%
6 5
 
8.8%
4 5
 
8.8%
5 4
 
7.0%
0 4
 
7.0%
7 3
 
5.3%
9 3
 
5.3%
8 2
 
3.5%
Space Separator
ValueCountFrequency (%)
83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282
62.3%
Common 171
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 25
 
8.9%
령 25
 
8.9%
남 24
 
8.5%
청 23
 
8.2%
시 22
 
7.8%
충 21
 
7.4%
도 21
 
7.4%
동 21
 
7.4%
대 13
 
4.6%
로 12
 
4.3%
Other values (40) 75
26.6%
Common
ValueCountFrequency (%)
83
48.5%
1 15
 
8.8%
) 14
 
8.2%
( 14
 
8.2%
3 10
 
5.8%
2 6
 
3.5%
6 5
 
2.9%
4 5
 
2.9%
5 4
 
2.3%
0 4
 
2.3%
Other values (5) 11
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282
62.3%
ASCII 171
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
48.5%
1 15
 
8.8%
) 14
 
8.2%
( 14
 
8.2%
3 10
 
5.8%
2 6
 
3.5%
6 5
 
2.9%
4 5
 
2.9%
5 4
 
2.3%
0 4
 
2.3%
Other values (5) 11
 
6.4%
Hangul
ValueCountFrequency (%)
보 25
 
8.9%
령 25
 
8.9%
남 24
 
8.5%
청 23
 
8.2%
시 22
 
7.8%
충 21
 
7.4%
도 21
 
7.4%
동 21
 
7.4%
대 13
 
4.6%
로 12
 
4.3%
Other values (40) 75
26.6%

Interactions

2024-01-10T07:26:23.442829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:26:25.252781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분기관단체명대표자주 소
연번1.0000.9311.0001.0000.948
구분0.9311.0001.0001.0001.000
기관단체명1.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.000
주 소0.9481.0001.0001.0001.000
2024-01-10T07:26:25.326173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.670
구분0.6701.000

Missing values

2024-01-10T07:26:23.547394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:26:23.627930image/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

연번구분기관단체명대표자회원수주 소
01노인복지보령노인종합복지관이승화<NA>충청남도 보령시 대천로 113 (죽정동)
12노인복지보령효나눔복지센터엄기욱<NA>충청남도 보령시 미산면 판미로 1471
23노인복지보령노인복지센터정성철<NA>충청남도 보령시 대천로 113 (죽정동)
34노인복지보령시시니어클럽김향희<NA>충청남도 보령시 보령북로 86-13 (대천동)
45여성가족여성인력개발센터김재봉<NA>충청남도 보령시 한내로 11 (동대동)
56여성가족대천가족성통합상담센터박점옥<NA>충청남도 보령시 대천로 35 (동대동)
67여성가족보령시건강가정다문화가족지원센터양수정<NA>충청남도 보령시 한내로 45 (동대동)
78아동청소년대천애육원김철진<NA>충청남도 보령시 마루뜰길 36
89아동청소년보령육아원이정은<NA>충청남도 보령시 보령남로 207
910아동청소년성주 지역아동센터유재운<NA>충청남도 보령시 성주면 청성로 431
연번구분기관단체명대표자회원수주 소
1112아동청소년보령꿈꾸는숲 지역아동센터안영준<NA>충청남도 보령시 주포면 보령읍성길 86
1213아동청소년보령아람 지역아동센터김선아<NA>충청남도 보령시 한내로 92 (동대동, 휴먼시아)
1314아동청소년비전 지역아동센터남대현<NA>충청남도 보령시 보령남로 40 (명천동)
1415아동청소년보령 지역아동센터신영길<NA>충청남도 보령시 천변남길 316 (동대동)
1516아동청소년라온 지역아동센터윤혜경<NA>충청남도 보령시 옥갓티3길 27 (대천동)
1617아동청소년옥토 지역아동센터이금선<NA>충청남도 보령시 고잠2길 1-31 (신흑동)
1718아동청소년열린 지역이동센터김미희<NA>충청남도 보령시 희망2길 39 (동대동)
1819아동청소년보령시청소년수련관이성현<NA>충청남도 보령시 성주면 성주산로 500
1920아동청소년청소년문화의집박찬이<NA>충청남도 보령시 문화원길 9 (대천동)
2021아동청소년대천오성 청소년수련원김경석<NA>충청남도 보령시 청라면 느르실길 164