Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells10
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory56.3 B

Variable types

Numeric2
Categorical1
Text3

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
회원수 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
회원수 has 10 (47.6%) missing valuesMissing
연번 has unique valuesUnique
기관단체명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:26:16.839802
Analysis finished2024-01-09 22:26:17.469092
Duration0.63 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
2024-01-10T07:26:17.514700image/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
2024-01-10T07:26:17.608865image/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

2024-01-10T07:26:17.748400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:26:17.863086image/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
2024-01-10T07:26:18.022396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9
Min length5

Characters and Unicode

Total characters189
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%
2024-01-10T07:26:18.276295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 14
 
7.4%
터 14
 
7.4%
지 13
 
6.9%
아 10
 
5.3%
10
 
5.3%
동 9
 
4.8%
령 9
 
4.8%
역 9
 
4.8%
보 9
 
4.8%
성 4
 
2.1%
Other values (58) 88
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
94.7%
Space Separator 10
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 14
 
7.8%
터 14
 
7.8%
지 13
 
7.3%
아 10
 
5.6%
동 9
 
5.0%
령 9
 
5.0%
역 9
 
5.0%
보 9
 
5.0%
성 4
 
2.2%
원 4
 
2.2%
Other values (57) 84
46.9%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
94.7%
Common 10
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 14
 
7.8%
터 14
 
7.8%
지 13
 
7.3%
아 10
 
5.6%
동 9
 
5.0%
령 9
 
5.0%
역 9
 
5.0%
보 9
 
5.0%
성 4
 
2.2%
원 4
 
2.2%
Other values (57) 84
46.9%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
94.7%
ASCII 10
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 14
 
7.8%
터 14
 
7.8%
지 13
 
7.3%
아 10
 
5.6%
동 9
 
5.0%
령 9
 
5.0%
역 9
 
5.0%
보 9
 
5.0%
성 4
 
2.2%
원 4
 
2.2%
Other values (57) 84
46.9%
ASCII
ValueCountFrequency (%)
10
100.0%

대표자
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-10T07:26:18.419538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.952381
Min length2

Characters and Unicode

Total characters62
Distinct characters42
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

Unique19 ?
Unique (%)90.5%

Sample

1st row정성철
2nd row엄기욱
3rd row정성철
4th row김향희
5th row김인자
ValueCountFrequency (%)
정성철 2
 
9.5%
엄기욱 1
 
4.8%
박찬이 1
 
4.8%
안나 1
 
4.8%
라윤숙 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 (10) 10
47.6%
2024-01-10T07:26:18.651768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 6
 
9.7%
정 4
 
6.5%
이 4
 
6.5%
철 3
 
4.8%
경 2
 
3.2%
안 2
 
3.2%
성 2
 
3.2%
수 2
 
3.2%
윤 2
 
3.2%
선 2
 
3.2%
Other values (32) 33
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 6
 
9.7%
정 4
 
6.5%
이 4
 
6.5%
철 3
 
4.8%
경 2
 
3.2%
안 2
 
3.2%
성 2
 
3.2%
수 2
 
3.2%
윤 2
 
3.2%
선 2
 
3.2%
Other values (32) 33
53.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 6
 
9.7%
정 4
 
6.5%
이 4
 
6.5%
철 3
 
4.8%
경 2
 
3.2%
안 2
 
3.2%
성 2
 
3.2%
수 2
 
3.2%
윤 2
 
3.2%
선 2
 
3.2%
Other values (32) 33
53.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 6
 
9.7%
정 4
 
6.5%
이 4
 
6.5%
철 3
 
4.8%
경 2
 
3.2%
안 2
 
3.2%
성 2
 
3.2%
수 2
 
3.2%
윤 2
 
3.2%
선 2
 
3.2%
Other values (32) 33
53.2%

회원수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)81.8%
Missing10
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean28
Minimum20
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T07:26:18.745007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20.5
Q123
median27
Q331
95-th percentile39.5
Maximum44
Range24
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.1693793
Coefficient of variation (CV)0.25604926
Kurtosis1.1675675
Mean28
Median Absolute Deviation (MAD)5
Skewness1.1163994
Sum308
Variance51.4
MonotonicityNot monotonic
2024-01-10T07:26:18.827569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
29 2
 
9.5%
24 2
 
9.5%
44 1
 
4.8%
33 1
 
4.8%
20 1
 
4.8%
22 1
 
4.8%
21 1
 
4.8%
35 1
 
4.8%
27 1
 
4.8%
(Missing) 10
47.6%
ValueCountFrequency (%)
20 1
4.8%
21 1
4.8%
22 1
4.8%
24 2
9.5%
27 1
4.8%
29 2
9.5%
33 1
4.8%
35 1
4.8%
44 1
4.8%
ValueCountFrequency (%)
44 1
4.8%
35 1
4.8%
33 1
4.8%
29 2
9.5%
27 1
4.8%
24 2
9.5%
22 1
4.8%
21 1
4.8%
20 1
4.8%

주 소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-10T07:26:18.985459image/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%
2024-01-10T07:26:19.242225image/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

2024-01-10T07:26:17.210708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:26:17.079941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:26:17.274079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:26:17.151403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:26:19.319886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분기관단체명대표자회원수주 소
연번1.0000.9311.0000.9480.5250.948
구분0.9311.0001.0001.000NaN1.000
기관단체명1.0001.0001.0001.0001.0001.000
대표자0.9481.0001.0001.0001.0001.000
회원수0.525NaN1.0001.0001.0001.000
주 소0.9481.0001.0001.0001.0001.000
2024-01-10T07:26:19.409213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회원수구분
연번1.000-0.2690.670
회원수-0.2691.0001.000
구분0.6701.0001.000

Missing values

2024-01-10T07:26:17.359961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:26:17.437433image/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
01노인복지보령노인종합복지관정성철<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)
45여성가족여성인력개발센터김인자<NA>충청남도 보령시 한내로 11 (동대동)
56여성가족가족성통합상담센터이혁의<NA>충청남도 보령시 대천로 35 (동대동)
67여성가족건강가정다문화가족지원센터양수정<NA>충청남도 보령시 한내로 45 (동대동)
78아동청소년대천애육원김철진44충청남도 보령시 마루뜰길 36
89아동청소년보령육아원이정은33충청남도 보령시 보령남로 207
910아동청소년성주 지역아동센터유재운29충청남도 보령시 성주면 청성로 431
연번구분기관단체명대표자회원수주 소
1112아동청소년보령꿈꾸는숲 지역아동센터안영준20충청남도 보령시 주포면 보령읍성길 86
1213아동청소년보령아람 지역아동센터김선아24충청남도 보령시 한내로 92 (동대동, 휴먼시아)
1314아동청소년비전 지역아동센터남대현22충청남도 보령시 보령남로 40 (명천동)
1415아동청소년보령 지역아동센터신영길29충청남도 보령시 천변남길 316 (동대동)
1516아동청소년라온 지역아동센터윤혜경21충청남도 보령시 옥갓티3길 27 (대천동)
1617아동청소년옥토 지역아동센터이금선35충청남도 보령시 고잠2길 1-31 (신흑동)
1718아동청소년열린 지역이동센터라윤숙27충청남도 보령시 희망2길 39 (동대동)
1819아동청소년보령시청소년수련관안나<NA>충청남도 보령시 성주면 성주산로 500
1920아동청소년청소년문화의집박찬이<NA>충청남도 보령시 문화원길 9 (대천동)
2021아동청소년대천오성 청소년수련원김경석<NA>충청남도 보령시 청라면 느르실길 164