Overview

Dataset statistics

Number of variables7
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory60.1 B

Variable types

Categorical2
Text3
Numeric1
Boolean1

Dataset

Description경기도 고양시 아동복지시설 현황에 대한 데이터로 시설구분*, 시설명, 주소, 입소정원, 운영주체, 국고보조여부, 전화번호 등의 항목을 제공합니다. *시설구분 : 이용시설(다함께 돌봄센터, 지역아동센터), 생활시설(아동양육시설, 공동생활가정)
URLhttps://www.data.go.kr/data/15078471/fileData.do

Alerts

국고보조여부 has constant value ""Constant
입소정원(명) is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 입소정원(명)High correlation
시설명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:31:15.774909
Analysis finished2023-12-12 16:31:16.396995
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
지역아동센터
31 
공동생활가정
5 
다함께돌봄센터
4 
아동양육시설
 
1
학대피해아동쉼터
 
1

Length

Max length8
Median length6
Mean length6.1428571
Min length6

Unique

Unique2 ?
Unique (%)4.8%

Sample

1st row아동양육시설
2nd row학대피해아동쉼터
3rd row공동생활가정
4th row공동생활가정
5th row공동생활가정

Common Values

ValueCountFrequency (%)
지역아동센터 31
73.8%
공동생활가정 5
 
11.9%
다함께돌봄센터 4
 
9.5%
아동양육시설 1
 
2.4%
학대피해아동쉼터 1
 
2.4%

Length

2023-12-13T01:31:16.501639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:16.668883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역아동센터 31
73.8%
공동생활가정 5
 
11.9%
다함께돌봄센터 4
 
9.5%
아동양육시설 1
 
2.4%
학대피해아동쉼터 1
 
2.4%

시설명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T01:31:16.875955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length3.5714286
Min length2

Characters and Unicode

Total characters150
Distinct characters86
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row신애원
2nd row카리타스 그룹홈
3rd row일산별사랑
4th row사랑공동체 사랑의집
5th row비전공동체
ValueCountFrequency (%)
그룹홈 2
 
4.4%
신애원 1
 
2.2%
주향 1
 
2.2%
원당 1
 
2.2%
신성 1
 
2.2%
아가페 1
 
2.2%
아가페21 1
 
2.2%
어울림 1
 
2.2%
예안 1
 
2.2%
일산 1
 
2.2%
Other values (34) 34
75.6%
2023-12-13T01:31:17.248617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 5
 
3.3%
사 5
 
3.3%
랑 5
 
3.3%
그 4
 
2.7%
동 4
 
2.7%
한 4
 
2.7%
푸 4
 
2.7%
른 4
 
2.7%
리 4
 
2.7%
아 3
 
2.0%
Other values (76) 108
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145
96.7%
Space Separator 3
 
2.0%
Decimal Number 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 5
 
3.4%
사 5
 
3.4%
랑 5
 
3.4%
그 4
 
2.8%
동 4
 
2.8%
한 4
 
2.8%
푸 4
 
2.8%
른 4
 
2.8%
리 4
 
2.8%
아 3
 
2.1%
Other values (73) 103
71.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145
96.7%
Common 5
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 5
 
3.4%
사 5
 
3.4%
랑 5
 
3.4%
그 4
 
2.8%
동 4
 
2.8%
한 4
 
2.8%
푸 4
 
2.8%
른 4
 
2.8%
리 4
 
2.8%
아 3
 
2.1%
Other values (73) 103
71.0%
Common
ValueCountFrequency (%)
3
60.0%
2 1
 
20.0%
1 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145
96.7%
ASCII 5
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 5
 
3.4%
사 5
 
3.4%
랑 5
 
3.4%
그 4
 
2.8%
동 4
 
2.8%
한 4
 
2.8%
푸 4
 
2.8%
른 4
 
2.8%
리 4
 
2.8%
아 3
 
2.1%
Other values (73) 103
71.0%
ASCII
ValueCountFrequency (%)
3
60.0%
2 1
 
20.0%
1 1
 
20.0%

소재지
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T01:31:17.534762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37.5
Mean length32.428571
Min length9

Characters and Unicode

Total characters1362
Distinct characters113
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

Unique42 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 덕양구 통일로 43-168
2nd row주소 비공개 시설
3rd row경기도 고양시 일산동구 일산로372번길 58-29, 2층 (정발산동)
4th row경기도 고양시 일산서구 탄중로101번길 36, 102동 103호 (덕이동)
5th row경기도 고양시 일산동구 사리현동 68 101동 103호
ValueCountFrequency (%)
경기도 41
 
14.1%
고양시 41
 
14.1%
덕양구 16
 
5.5%
일산동구 14
 
4.8%
일산서구 11
 
3.8%
2층 7
 
2.4%
3층 4
 
1.4%
토당동 4
 
1.4%
정발산동 4
 
1.4%
행신동 3
 
1.0%
Other values (130) 145
50.0%
2023-12-13T01:31:17.982012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
249
 
18.3%
양 62
 
4.6%
동 54
 
4.0%
1 50
 
3.7%
고 46
 
3.4%
시 43
 
3.2%
2 43
 
3.2%
경 42
 
3.1%
도 42
 
3.1%
기 42
 
3.1%
Other values (103) 689
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 771
56.6%
Space Separator 249
 
18.3%
Decimal Number 227
 
16.7%
Close Punctuation 34
 
2.5%
Open Punctuation 34
 
2.5%
Other Punctuation 34
 
2.5%
Dash Punctuation 12
 
0.9%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 62
 
8.0%
동 54
 
7.0%
고 46
 
6.0%
시 43
 
5.6%
경 42
 
5.4%
도 42
 
5.4%
기 42
 
5.4%
구 41
 
5.3%
산 41
 
5.3%
로 39
 
5.1%
Other values (87) 319
41.4%
Decimal Number
ValueCountFrequency (%)
1 50
22.0%
2 43
18.9%
3 32
14.1%
0 23
10.1%
5 15
 
6.6%
7 14
 
6.2%
4 14
 
6.2%
6 14
 
6.2%
8 13
 
5.7%
9 9
 
4.0%
Space Separator
ValueCountFrequency (%)
249
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 771
56.6%
Common 590
43.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 62
 
8.0%
동 54
 
7.0%
고 46
 
6.0%
시 43
 
5.6%
경 42
 
5.4%
도 42
 
5.4%
기 42
 
5.4%
구 41
 
5.3%
산 41
 
5.3%
로 39
 
5.1%
Other values (87) 319
41.4%
Common
ValueCountFrequency (%)
249
42.2%
1 50
 
8.5%
2 43
 
7.3%
) 34
 
5.8%
( 34
 
5.8%
, 34
 
5.8%
3 32
 
5.4%
0 23
 
3.9%
5 15
 
2.5%
7 14
 
2.4%
Other values (5) 62
 
10.5%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 771
56.6%
ASCII 591
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
249
42.1%
1 50
 
8.5%
2 43
 
7.3%
) 34
 
5.8%
( 34
 
5.8%
, 34
 
5.8%
3 32
 
5.4%
0 23
 
3.9%
5 15
 
2.5%
7 14
 
2.4%
Other values (6) 63
 
10.7%
Hangul
ValueCountFrequency (%)
양 62
 
8.0%
동 54
 
7.0%
고 46
 
6.0%
시 43
 
5.6%
경 42
 
5.4%
도 42
 
5.4%
기 42
 
5.4%
구 41
 
5.3%
산 41
 
5.3%
로 39
 
5.1%
Other values (87) 319
41.4%

입소정원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.833333
Minimum7
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T01:31:18.096146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q119
median29
Q335
95-th percentile47.6
Maximum50
Range43
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.805159
Coefficient of variation (CV)0.43994383
Kurtosis-0.48809016
Mean26.833333
Median Absolute Deviation (MAD)10
Skewness-0.03857196
Sum1127
Variance139.36179
MonotonicityNot monotonic
2023-12-13T01:31:18.185176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
29 10
23.8%
19 8
19.0%
7 6
14.3%
40 6
14.3%
25 3
 
7.1%
35 2
 
4.8%
50 1
 
2.4%
48 1
 
2.4%
36 1
 
2.4%
49 1
 
2.4%
Other values (3) 3
 
7.1%
ValueCountFrequency (%)
7 6
14.3%
19 8
19.0%
20 1
 
2.4%
24 1
 
2.4%
25 3
 
7.1%
29 10
23.8%
31 1
 
2.4%
35 2
 
4.8%
36 1
 
2.4%
40 6
14.3%
ValueCountFrequency (%)
50 1
 
2.4%
49 1
 
2.4%
48 1
 
2.4%
40 6
14.3%
36 1
 
2.4%
35 2
 
4.8%
31 1
 
2.4%
29 10
23.8%
25 3
 
7.1%
24 1
 
2.4%

운영주체
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
개인
22 
법인
20 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row법인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 22
52.4%
법인 20
47.6%

Length

2023-12-13T01:31:18.280411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:18.361803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 22
52.4%
법인 20
47.6%

국고보조여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size174.0 B
True
42 
ValueCountFrequency (%)
True 42
100.0%
2023-12-13T01:31:18.431090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전화번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T01:31:18.589809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.071429
Min length5

Characters and Unicode

Total characters507
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row02-355-4305
2nd row비공개시설
3rd row070-4064-5677
4th row02-362-1119
5th row070-4078-7004
ValueCountFrequency (%)
02-355-4305 1
 
2.4%
031-902-9183 1
 
2.4%
031-964-2227 1
 
2.4%
031-904-9336 1
 
2.4%
031-908-9232 1
 
2.4%
031-977-1004 1
 
2.4%
031-972-6653 1
 
2.4%
031-964-1988 1
 
2.4%
031-975-3987 1
 
2.4%
031-916-8610 1
 
2.4%
Other values (32) 32
76.2%
2023-12-13T01:31:18.874535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 87
17.2%
- 82
16.2%
1 63
12.4%
3 58
11.4%
9 47
9.3%
7 38
7.5%
2 32
 
6.3%
6 32
 
6.3%
8 24
 
4.7%
4 18
 
3.6%
Other values (7) 26
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 416
82.1%
Dash Punctuation 82
 
16.2%
Other Letter 5
 
1.0%
Space Separator 4
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87
20.9%
1 63
15.1%
3 58
13.9%
9 47
11.3%
7 38
9.1%
2 32
 
7.7%
6 32
 
7.7%
8 24
 
5.8%
4 18
 
4.3%
5 17
 
4.1%
Other Letter
ValueCountFrequency (%)
비 1
20.0%
공 1
20.0%
개 1
20.0%
시 1
20.0%
설 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 502
99.0%
Hangul 5
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 87
17.3%
- 82
16.3%
1 63
12.5%
3 58
11.6%
9 47
9.4%
7 38
7.6%
2 32
 
6.4%
6 32
 
6.4%
8 24
 
4.8%
4 18
 
3.6%
Other values (2) 21
 
4.2%
Hangul
ValueCountFrequency (%)
비 1
20.0%
공 1
20.0%
개 1
20.0%
시 1
20.0%
설 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 502
99.0%
Hangul 5
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 87
17.3%
- 82
16.3%
1 63
12.5%
3 58
11.6%
9 47
9.4%
7 38
7.6%
2 32
 
6.4%
6 32
 
6.4%
8 24
 
4.8%
4 18
 
3.6%
Other values (2) 21
 
4.2%
Hangul
ValueCountFrequency (%)
비 1
20.0%
공 1
20.0%
개 1
20.0%
시 1
20.0%
설 1
20.0%

Interactions

2023-12-13T01:31:16.089934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:31:18.958370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설명소재지입소정원(명)운영주체전화번호
구분1.0001.0001.0000.7340.3581.000
시설명1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
입소정원(명)0.7341.0001.0001.0000.5141.000
운영주체0.3581.0001.0000.5141.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-13T01:31:19.039307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분운영주체
구분1.0000.417
운영주체0.4171.000
2023-12-13T01:31:19.105080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입소정원(명)구분운영주체
입소정원(명)1.0000.5430.352
구분0.5431.0000.417
운영주체0.3520.4171.000

Missing values

2023-12-13T01:31:16.194665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:31:16.331701image/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

구분시설명소재지입소정원(명)운영주체국고보조여부전화번호
0아동양육시설신애원경기도 고양시 덕양구 통일로 43-16850법인Y02-355-4305
1학대피해아동쉼터카리타스 그룹홈주소 비공개 시설7법인Y비공개시설
2공동생활가정일산별사랑경기도 고양시 일산동구 일산로372번길 58-29, 2층 (정발산동)7개인Y070-4064-5677
3공동생활가정사랑공동체 사랑의집경기도 고양시 일산서구 탄중로101번길 36, 102동 103호 (덕이동)7개인Y02-362-1119
4공동생활가정비전공동체경기도 고양시 일산동구 사리현동 68 101동 103호7개인Y070-4078-7004
5공동생활가정햇살고운집경기도 고양시 덕양구 보광로222-15, C-301(벽제동, 다연빌라)7개인Y031-967-8811
6공동생활가정앤하우스 그룹홈경기도 고양시 일산동구 산두로261번길 42, 1층 (정발산동)7개인Y031-919-0031
7지역아동센터가나안경기도 고양시 덕양구 지도로115번길 35, 201호 (토당동)48법인Y031-973-3181
8지역아동센터가람경기도 고양시 덕양구 중앙로 472번길 85-1 (행신동)40개인Y031-979-0122
9지역아동센터강선경기도 고양시 일산서구 중앙로 1376, 304호 (주엽동, 한양상가)25개인Y031-914-5130
구분시설명소재지입소정원(명)운영주체국고보조여부전화번호
32지역아동센터푸른학교반디교실경기도 고양시 덕양구 토당로 78번길 7-22, 2층 (토당동)29법인Y031-818-1236
33지역아동센터하늘그림경기도 고양시 일산서구 산현로 38, 204호19법인Y031-976-0387
34지역아동센터한빛경기도 고양시 덕양구 행당로 11번길 11, 5층 (토당동)29법인Y031-970-5025
35지역아동센터한사랑푸른경기도 고양시 일산동구 성현로 505 (사리현동)19법인Y031-962-8062
36지역아동센터한울타리경기도 고양시 일산서구 장자길118번길 54 (덕이동)19개인Y070-7012-6645
37지역아동센터행복한경기도 고양시 일산서구 탄중로101번길 36, 2층(덕이동, 태영아파트)19개인Y070-8239-1377
38다함께돌봄센터중산경기도 고양시 일산동구 중산로 73-2 (중산동)40법인Y070-5220-2620
39다함께돌봄센터대화경기도 고양시 일산서구 대화2로 121 (대화동)40법인Y031-923-0818
40다함께돌봄센터원당경기도 고양시 덕양구 마상로 110 배다리사랑나눔터 2층 (주교동)20법인Y031-964-2227
41다함께돌봄센터향동경기도 고양시 덕양구 향기5로65(향동동, 향동마을 4단지)40법인Y02-3158-6667