Overview

Dataset statistics

Number of variables22
Number of observations106
Missing cells112
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.4 KiB
Average record size in memory187.2 B

Variable types

Categorical6
Text5
Numeric9
DateTime2

Dataset

Description부산광역시동래구_어린이집현황_20230710
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15102246

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
팩스번호 has 15 (14.2%) missing valuesMissing
홈페이지주소 has 97 (91.5%) missing valuesMissing
어린이집명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:23:27.846062
Analysis finished2023-12-10 16:23:28.304986
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
부산광역시
106 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 106
100.0%

Length

2023-12-11T01:23:28.362714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:23:28.472960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 106
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
동래구
106 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동래구 106
100.0%

Length

2023-12-11T01:23:28.578982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:23:28.713706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동래구 106
100.0%

어린이집명
Text

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-11T01:23:29.015086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length8.0471698
Min length6

Characters and Unicode

Total characters853
Distinct characters181
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)100.0%

Sample

1st rowBR스쿨어린이집
2nd row강변뜨란채어린이집
3rd row경동아이숲어린이집
4th row고운어린이집
5th row금강어린이집
ValueCountFrequency (%)
br스쿨어린이집 1
 
0.9%
온천3동어린이집 1
 
0.9%
이편한세상동래온천어린이집 1
 
0.9%
으뜸어린이집 1
 
0.9%
유앤아이어린이집 1
 
0.9%
웰키즈어린이집 1
 
0.9%
우성어린이집 1
 
0.9%
우리어린이집 1
 
0.9%
우리또래어린이집 1
 
0.9%
우리들어린이집 1
 
0.9%
Other values (98) 98
90.7%
2023-12-11T01:23:29.543720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
14.0%
107
 
12.5%
106
 
12.4%
106
 
12.4%
18
 
2.1%
17
 
2.0%
15
 
1.8%
10
 
1.2%
9
 
1.1%
9
 
1.1%
Other values (171) 337
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 842
98.7%
Decimal Number 5
 
0.6%
Uppercase Letter 4
 
0.5%
Space Separator 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
119
 
14.1%
107
 
12.7%
106
 
12.6%
106
 
12.6%
18
 
2.1%
17
 
2.0%
15
 
1.8%
10
 
1.2%
9
 
1.1%
9
 
1.1%
Other values (163) 326
38.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
K 1
25.0%
S 1
25.0%
R 1
25.0%
Decimal Number
ValueCountFrequency (%)
3 3
60.0%
2 1
 
20.0%
1 1
 
20.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 842
98.7%
Common 7
 
0.8%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
119
 
14.1%
107
 
12.7%
106
 
12.6%
106
 
12.6%
18
 
2.1%
17
 
2.0%
15
 
1.8%
10
 
1.2%
9
 
1.1%
9
 
1.1%
Other values (163) 326
38.7%
Common
ValueCountFrequency (%)
3 3
42.9%
2
28.6%
2 1
 
14.3%
1 1
 
14.3%
Latin
ValueCountFrequency (%)
B 1
25.0%
K 1
25.0%
S 1
25.0%
R 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 842
98.7%
ASCII 11
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
119
 
14.1%
107
 
12.7%
106
 
12.6%
106
 
12.6%
18
 
2.1%
17
 
2.0%
15
 
1.8%
10
 
1.2%
9
 
1.1%
9
 
1.1%
Other values (163) 326
38.7%
ASCII
ValueCountFrequency (%)
3 3
27.3%
2
18.2%
B 1
 
9.1%
2 1
 
9.1%
1 1
 
9.1%
K 1
 
9.1%
S 1
 
9.1%
R 1
 
9.1%
Distinct6
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size980.0 B
국공립
37 
민간
36 
가정
25 
사회복지법인
협동
 
2

Length

Max length6
Median length2
Mean length2.5377358
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row사회복지법인
2nd row국공립
3rd row민간
4th row민간
5th row가정

Common Values

ValueCountFrequency (%)
국공립 37
34.9%
민간 36
34.0%
가정 25
23.6%
사회복지법인 5
 
4.7%
협동 2
 
1.9%
직장 1
 
0.9%

Length

2023-12-11T01:23:29.752270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:23:29.889219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국공립 37
34.9%
민간 36
34.0%
가정 25
23.6%
사회복지법인 5
 
4.7%
협동 2
 
1.9%
직장 1
 
0.9%

우편번호
Real number (ℝ)

Distinct89
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47816.321
Minimum47702
Maximum47904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:23:30.054373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47702
5-th percentile47715
Q147762.5
median47830
Q347868
95-th percentile47898.75
Maximum47904
Range202
Interquartile range (IQR)105.5

Descriptive statistics

Standard deviation61.562751
Coefficient of variation (CV)0.0012874841
Kurtosis-1.2384577
Mean47816.321
Median Absolute Deviation (MAD)52.5
Skewness-0.29471471
Sum5068530
Variance3789.9723
MonotonicityNot monotonic
2023-12-11T01:23:30.226488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47904 3
 
2.8%
47892 3
 
2.8%
47873 2
 
1.9%
47758 2
 
1.9%
47798 2
 
1.9%
47748 2
 
1.9%
47861 2
 
1.9%
47856 2
 
1.9%
47868 2
 
1.9%
47837 2
 
1.9%
Other values (79) 84
79.2%
ValueCountFrequency (%)
47702 1
0.9%
47707 1
0.9%
47710 1
0.9%
47711 1
0.9%
47712 1
0.9%
47714 1
0.9%
47718 1
0.9%
47719 2
1.9%
47720 2
1.9%
47721 1
0.9%
ValueCountFrequency (%)
47904 3
2.8%
47902 1
 
0.9%
47901 1
 
0.9%
47899 1
 
0.9%
47898 1
 
0.9%
47895 1
 
0.9%
47894 1
 
0.9%
47893 2
1.9%
47892 3
2.8%
47889 1
 
0.9%

도로명주소
Text

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-11T01:23:30.521518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length30.566038
Min length15

Characters and Unicode

Total characters3240
Distinct characters161
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 쇠미로27번길 10 (사직2동)
2nd row부산광역시 동래구 안남로 79 관리동 1층(강변뜨란채아파트)
3rd row부산광역시 동래구 충렬대로446번길 67 경동리인1차아파트 관리동1층
4th row부산광역시 동래구 쇠미로81번길 33 관리동 1층 (사직2동,한신)
5th row부산광역시 동래구 아시아드대로247번길 53 102호(온천3동, 유림빌라)
ValueCountFrequency (%)
부산광역시 106
 
18.5%
동래구 106
 
18.5%
관리동 8
 
1.4%
온천3동 7
 
1.2%
사직2동 6
 
1.0%
9 6
 
1.0%
1층 5
 
0.9%
안락1동 5
 
0.9%
명장2동 5
 
0.9%
안락2동 5
 
0.9%
Other values (245) 314
54.8%
2023-12-11T01:23:31.019116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
467
 
14.4%
226
 
7.0%
1 154
 
4.8%
123
 
3.8%
115
 
3.5%
113
 
3.5%
109
 
3.4%
107
 
3.3%
106
 
3.3%
106
 
3.3%
Other values (151) 1614
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1994
61.5%
Decimal Number 580
 
17.9%
Space Separator 467
 
14.4%
Close Punctuation 77
 
2.4%
Open Punctuation 77
 
2.4%
Other Punctuation 26
 
0.8%
Dash Punctuation 14
 
0.4%
Uppercase Letter 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
226
 
11.3%
123
 
6.2%
115
 
5.8%
113
 
5.7%
109
 
5.5%
107
 
5.4%
106
 
5.3%
106
 
5.3%
105
 
5.3%
63
 
3.2%
Other values (132) 821
41.2%
Decimal Number
ValueCountFrequency (%)
1 154
26.6%
2 100
17.2%
0 60
 
10.3%
3 59
 
10.2%
7 53
 
9.1%
4 47
 
8.1%
5 31
 
5.3%
9 30
 
5.2%
8 25
 
4.3%
6 21
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
K 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
467
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1994
61.5%
Common 1241
38.3%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
226
 
11.3%
123
 
6.2%
115
 
5.8%
113
 
5.7%
109
 
5.5%
107
 
5.4%
106
 
5.3%
106
 
5.3%
105
 
5.3%
63
 
3.2%
Other values (132) 821
41.2%
Common
ValueCountFrequency (%)
467
37.6%
1 154
 
12.4%
2 100
 
8.1%
) 77
 
6.2%
( 77
 
6.2%
0 60
 
4.8%
3 59
 
4.8%
7 53
 
4.3%
4 47
 
3.8%
5 31
 
2.5%
Other values (5) 116
 
9.3%
Latin
ValueCountFrequency (%)
C 2
40.0%
e 1
20.0%
K 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1994
61.5%
ASCII 1246
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
467
37.5%
1 154
 
12.4%
2 100
 
8.0%
) 77
 
6.2%
( 77
 
6.2%
0 60
 
4.8%
3 59
 
4.7%
7 53
 
4.3%
4 47
 
3.8%
5 31
 
2.5%
Other values (9) 121
 
9.7%
Hangul
ValueCountFrequency (%)
226
 
11.3%
123
 
6.2%
115
 
5.8%
113
 
5.7%
109
 
5.5%
107
 
5.4%
106
 
5.3%
106
 
5.3%
105
 
5.3%
63
 
3.2%
Other values (132) 821
41.2%

전화번호
Text

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-11T01:23:31.329104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1272
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)100.0%

Sample

1st row051-504-8866
2nd row051-529-0032
3rd row051-523-2007
4th row051-503-3044
5th row051-505-4492
ValueCountFrequency (%)
051-504-8866 1
 
0.9%
051-991-5004 1
 
0.9%
051-996-2004 1
 
0.9%
051-532-4616 1
 
0.9%
051-524-2340 1
 
0.9%
051-532-7777 1
 
0.9%
051-501-6523 1
 
0.9%
051-524-6868 1
 
0.9%
051-555-5990 1
 
0.9%
051-993-5004 1
 
0.9%
Other values (96) 96
90.6%
2023-12-11T01:23:31.704000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 283
22.2%
0 218
17.1%
- 212
16.7%
1 159
12.5%
2 83
 
6.5%
3 76
 
6.0%
7 72
 
5.7%
4 50
 
3.9%
6 48
 
3.8%
9 38
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1060
83.3%
Dash Punctuation 212
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 283
26.7%
0 218
20.6%
1 159
15.0%
2 83
 
7.8%
3 76
 
7.2%
7 72
 
6.8%
4 50
 
4.7%
6 48
 
4.5%
9 38
 
3.6%
8 33
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1272
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 283
22.2%
0 218
17.1%
- 212
16.7%
1 159
12.5%
2 83
 
6.5%
3 76
 
6.0%
7 72
 
5.7%
4 50
 
3.9%
6 48
 
3.8%
9 38
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 283
22.2%
0 218
17.1%
- 212
16.7%
1 159
12.5%
2 83
 
6.5%
3 76
 
6.0%
7 72
 
5.7%
4 50
 
3.9%
6 48
 
3.8%
9 38
 
3.0%

팩스번호
Text

MISSING 

Distinct91
Distinct (%)100.0%
Missing15
Missing (%)14.2%
Memory size980.0 B
2023-12-11T01:23:31.978853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.087912
Min length12

Characters and Unicode

Total characters1100
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)100.0%

Sample

1st row051-504-8866
2nd row051-528-9556
3rd row051-523-2006
4th row051-503-3045
5th row051-505-4922
ValueCountFrequency (%)
051-505-2786 1
 
1.1%
051-522-3058 1
 
1.1%
051-552-1307 1
 
1.1%
051-991-5005 1
 
1.1%
070-8275-2720 1
 
1.1%
051-966-2005 1
 
1.1%
070-8102-4616 1
 
1.1%
051-532-7778 1
 
1.1%
051-502-0247 1
 
1.1%
051-528-5804 1
 
1.1%
Other values (81) 81
89.0%
2023-12-11T01:23:32.405382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 230
20.9%
0 189
17.2%
- 182
16.5%
1 132
12.0%
2 71
 
6.5%
7 68
 
6.2%
3 60
 
5.5%
9 45
 
4.1%
8 43
 
3.9%
4 43
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 918
83.5%
Dash Punctuation 182
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 230
25.1%
0 189
20.6%
1 132
14.4%
2 71
 
7.7%
7 68
 
7.4%
3 60
 
6.5%
9 45
 
4.9%
8 43
 
4.7%
4 43
 
4.7%
6 37
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 230
20.9%
0 189
17.2%
- 182
16.5%
1 132
12.0%
2 71
 
6.5%
7 68
 
6.2%
3 60
 
5.5%
9 45
 
4.1%
8 43
 
3.9%
4 43
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 230
20.9%
0 189
17.2%
- 182
16.5%
1 132
12.0%
2 71
 
6.5%
7 68
 
6.2%
3 60
 
5.5%
9 45
 
4.1%
8 43
 
3.9%
4 43
 
3.9%

홈페이지주소
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing97
Missing (%)91.5%
Memory size980.0 B
2023-12-11T01:23:32.651399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length32
Mean length26
Min length23

Characters and Unicode

Total characters234
Distinct characters32
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowcafe.daum.net/dasom79486
2nd rowcafe.daum.net/kidsdongil79/jo7S/4
3rd rowcafe.naver.com/mjyd2462
4th rowcafe.daum.net/bsyangduk
5th rowcafe.daum.net/woori-kids
ValueCountFrequency (%)
cafe.daum.net/dasom79486 1
11.1%
cafe.daum.net/kidsdongil79/jo7s/4 1
11.1%
cafe.naver.com/mjyd2462 1
11.1%
cafe.daum.net/bsyangduk 1
11.1%
cafe.daum.net/woori-kids 1
11.1%
cafe.daum.net/changeuichild 1
11.1%
cafe.daum.net/hellochild 1
11.1%
cafe.daum.net/inhumansia 1
11.1%
cafe.daum.net/hillstatemyeongyun 1
11.1%
2023-12-11T01:23:33.097085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 24
 
10.3%
e 22
 
9.4%
. 18
 
7.7%
d 16
 
6.8%
n 16
 
6.8%
c 13
 
5.6%
m 13
 
5.6%
u 12
 
5.1%
/ 11
 
4.7%
t 10
 
4.3%
Other values (22) 79
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 190
81.2%
Other Punctuation 29
 
12.4%
Decimal Number 13
 
5.6%
Dash Punctuation 1
 
0.4%
Uppercase Letter 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 24
12.6%
e 22
11.6%
d 16
 
8.4%
n 16
 
8.4%
c 13
 
6.8%
m 13
 
6.8%
u 12
 
6.3%
t 10
 
5.3%
i 10
 
5.3%
f 9
 
4.7%
Other values (12) 45
23.7%
Decimal Number
ValueCountFrequency (%)
4 3
23.1%
7 3
23.1%
6 2
15.4%
9 2
15.4%
2 2
15.4%
8 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 18
62.1%
/ 11
37.9%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 191
81.6%
Common 43
 
18.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 24
12.6%
e 22
11.5%
d 16
 
8.4%
n 16
 
8.4%
c 13
 
6.8%
m 13
 
6.8%
u 12
 
6.3%
t 10
 
5.2%
i 10
 
5.2%
f 9
 
4.7%
Other values (13) 46
24.1%
Common
ValueCountFrequency (%)
. 18
41.9%
/ 11
25.6%
4 3
 
7.0%
7 3
 
7.0%
6 2
 
4.7%
9 2
 
4.7%
2 2
 
4.7%
- 1
 
2.3%
8 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 24
 
10.3%
e 22
 
9.4%
. 18
 
7.7%
d 16
 
6.8%
n 16
 
6.8%
c 13
 
5.6%
m 13
 
5.6%
u 12
 
5.1%
/ 11
 
4.7%
t 10
 
4.3%
Other values (22) 79
33.8%

보육실수
Real number (ℝ)

Distinct14
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4811321
Minimum2
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:23:33.278607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q36
95-th percentile10
Maximum22
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.9349491
Coefficient of variation (CV)0.53546404
Kurtosis12.738508
Mean5.4811321
Median Absolute Deviation (MAD)1
Skewness3.1168386
Sum581
Variance8.6139263
MonotonicityNot monotonic
2023-12-11T01:23:33.471829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4 29
27.4%
5 26
24.5%
6 16
15.1%
3 15
14.2%
7 6
 
5.7%
8 4
 
3.8%
10 3
 
2.8%
2 1
 
0.9%
9 1
 
0.9%
11 1
 
0.9%
Other values (4) 4
 
3.8%
ValueCountFrequency (%)
2 1
 
0.9%
3 15
14.2%
4 29
27.4%
5 26
24.5%
6 16
15.1%
7 6
 
5.7%
8 4
 
3.8%
9 1
 
0.9%
10 3
 
2.8%
11 1
 
0.9%
ValueCountFrequency (%)
22 1
 
0.9%
18 1
 
0.9%
16 1
 
0.9%
12 1
 
0.9%
11 1
 
0.9%
10 3
 
2.8%
9 1
 
0.9%
8 4
 
3.8%
7 6
 
5.7%
6 16
15.1%

보육실면적
Real number (ℝ)

Distinct90
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.85849
Minimum49
Maximum1293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:23:33.657780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile55.75
Q198.25
median158.5
Q3238
95-th percentile427.5
Maximum1293
Range1244
Interquartile range (IQR)139.75

Descriptive statistics

Standard deviation170.18178
Coefficient of variation (CV)0.8689017
Kurtosis18.248204
Mean195.85849
Median Absolute Deviation (MAD)63
Skewness3.6553562
Sum20761
Variance28961.837
MonotonicityNot monotonic
2023-12-11T01:23:34.236154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66 3
 
2.8%
211 3
 
2.8%
93 2
 
1.9%
242 2
 
1.9%
158 2
 
1.9%
85 2
 
1.9%
54 2
 
1.9%
307 2
 
1.9%
62 2
 
1.9%
165 2
 
1.9%
Other values (80) 84
79.2%
ValueCountFrequency (%)
49 1
 
0.9%
51 1
 
0.9%
52 1
 
0.9%
53 1
 
0.9%
54 2
1.9%
61 1
 
0.9%
62 2
1.9%
65 1
 
0.9%
66 3
2.8%
73 1
 
0.9%
ValueCountFrequency (%)
1293 1
0.9%
821 1
0.9%
773 1
0.9%
599 1
0.9%
575 1
0.9%
435 1
0.9%
405 1
0.9%
376 1
0.9%
344 1
0.9%
317 1
0.9%

놀이터수
Categorical

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size980.0 B
0
57 
1
25 
2
19 
3
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 57
53.8%
1 25
23.6%
2 19
 
17.9%
3 5
 
4.7%

Length

2023-12-11T01:23:34.425382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:23:34.589851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
53.8%
1 25
23.6%
2 19
 
17.9%
3 5
 
4.7%

CCTV설치수
Real number (ℝ)

Distinct20
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5943396
Minimum0
Maximum33
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:23:34.734968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q15
median8
Q312.75
95-th percentile16
Maximum33
Range33
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation5.9165278
Coefficient of variation (CV)0.61666858
Kurtosis4.2024982
Mean9.5943396
Median Absolute Deviation (MAD)4
Skewness1.7040112
Sum1017
Variance35.005301
MonotonicityNot monotonic
2023-12-11T01:23:34.892009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8 19
17.9%
4 19
17.9%
5 9
8.5%
16 9
8.5%
7 7
 
6.6%
12 7
 
6.6%
15 5
 
4.7%
14 5
 
4.7%
9 5
 
4.7%
10 4
 
3.8%
Other values (10) 17
16.0%
ValueCountFrequency (%)
0 1
 
0.9%
2 1
 
0.9%
3 1
 
0.9%
4 19
17.9%
5 9
8.5%
6 3
 
2.8%
7 7
 
6.6%
8 19
17.9%
9 5
 
4.7%
10 4
 
3.8%
ValueCountFrequency (%)
33 1
 
0.9%
32 1
 
0.9%
31 1
 
0.9%
23 2
 
1.9%
16 9
8.5%
15 5
4.7%
14 5
4.7%
13 3
 
2.8%
12 7
6.6%
11 3
 
2.8%

보육교직원수
Real number (ℝ)

Distinct26
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.669811
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:23:35.094231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q17
median11
Q315
95-th percentile22.75
Maximum46
Range45
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.9113043
Coefficient of variation (CV)0.59223788
Kurtosis6.9308357
Mean11.669811
Median Absolute Deviation (MAD)4
Skewness2.0240664
Sum1237
Variance47.766128
MonotonicityNot monotonic
2023-12-11T01:23:35.282096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
11 11
 
10.4%
6 10
 
9.4%
7 10
 
9.4%
5 9
 
8.5%
10 7
 
6.6%
13 7
 
6.6%
12 7
 
6.6%
15 6
 
5.7%
9 5
 
4.7%
16 5
 
4.7%
Other values (16) 29
27.4%
ValueCountFrequency (%)
1 1
 
0.9%
2 1
 
0.9%
3 2
 
1.9%
4 2
 
1.9%
5 9
8.5%
6 10
9.4%
7 10
9.4%
8 2
 
1.9%
9 5
4.7%
10 7
6.6%
ValueCountFrequency (%)
46 1
 
0.9%
39 1
 
0.9%
30 1
 
0.9%
26 2
1.9%
23 1
 
0.9%
22 1
 
0.9%
20 1
 
0.9%
19 2
1.9%
18 3
2.8%
17 4
3.8%

정원수
Real number (ℝ)

Distinct61
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.160377
Minimum15
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:23:35.477899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile19
Q123
median46
Q371.75
95-th percentile142
Maximum300
Range285
Interquartile range (IQR)48.75

Descriptive statistics

Standard deviation47.614351
Coefficient of variation (CV)0.83299574
Kurtosis9.2858832
Mean57.160377
Median Absolute Deviation (MAD)24.5
Skewness2.6828617
Sum6059
Variance2267.1264
MonotonicityNot monotonic
2023-12-11T01:23:35.680441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 12
 
11.3%
49 10
 
9.4%
19 8
 
7.5%
46 3
 
2.8%
39 3
 
2.8%
38 3
 
2.8%
90 2
 
1.9%
68 2
 
1.9%
65 2
 
1.9%
44 2
 
1.9%
Other values (51) 59
55.7%
ValueCountFrequency (%)
15 1
 
0.9%
16 1
 
0.9%
17 1
 
0.9%
18 2
 
1.9%
19 8
7.5%
20 12
11.3%
22 1
 
0.9%
23 2
 
1.9%
26 1
 
0.9%
27 1
 
0.9%
ValueCountFrequency (%)
300 1
0.9%
249 1
0.9%
227 1
0.9%
197 1
0.9%
150 1
0.9%
147 1
0.9%
127 1
0.9%
123 1
0.9%
94 1
0.9%
93 1
0.9%

현원수
Real number (ℝ)

Distinct62
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.650943
Minimum3
Maximum228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:23:35.865328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7.5
Q118
median35.5
Q353.75
95-th percentile95
Maximum228
Range225
Interquartile range (IQR)35.75

Descriptive statistics

Standard deviation37.372015
Coefficient of variation (CV)0.8762295
Kurtosis8.8060731
Mean42.650943
Median Absolute Deviation (MAD)17.5
Skewness2.5557828
Sum4521
Variance1396.6675
MonotonicityNot monotonic
2023-12-11T01:23:36.090784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 5
 
4.7%
25 5
 
4.7%
45 5
 
4.7%
15 4
 
3.8%
17 4
 
3.8%
18 3
 
2.8%
77 3
 
2.8%
20 3
 
2.8%
76 3
 
2.8%
12 2
 
1.9%
Other values (52) 69
65.1%
ValueCountFrequency (%)
3 1
0.9%
5 2
1.9%
6 1
0.9%
7 2
1.9%
9 2
1.9%
10 1
0.9%
11 1
0.9%
12 2
1.9%
13 2
1.9%
14 2
1.9%
ValueCountFrequency (%)
228 1
 
0.9%
199 1
 
0.9%
177 1
 
0.9%
149 1
 
0.9%
100 1
 
0.9%
96 1
 
0.9%
92 1
 
0.9%
80 1
 
0.9%
77 3
2.8%
76 3
2.8%
Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
운영(신고)
58 
미운영
48 

Length

Max length6
Median length6
Mean length4.6415094
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영(신고)
2nd row미운영
3rd row미운영
4th row운영(신고)
5th row운영(신고)

Common Values

ValueCountFrequency (%)
운영(신고) 58
54.7%
미운영 48
45.3%

Length

2023-12-11T01:23:36.286700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:23:36.434526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영(신고 58
54.7%
미운영 48
45.3%
Distinct93
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum1982-09-30 00:00:00
Maximum2023-04-01 00:00:00
2023-12-11T01:23:36.604328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:23:36.805947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct9
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size980.0 B
일반
60 
야간연장
30 
장애아통합,야간연장
일반,시간제보육
 
3
야간연장,24시간
 
1
Other values (4)
 
4

Length

Max length10
Median length2
Mean length3.5471698
Min length2

Unique

Unique5 ?
Unique (%)4.7%

Sample

1st row일반
2nd row야간연장
3rd row야간연장
4th row일반
5th row일반

Common Values

ValueCountFrequency (%)
일반 60
56.6%
야간연장 30
28.3%
장애아통합,야간연장 8
 
7.5%
일반,시간제보육 3
 
2.8%
야간연장,24시간 1
 
0.9%
장애아전문 1
 
0.9%
영아전담,야간연장 1
 
0.9%
장애아통합 1
 
0.9%
영아전담 1
 
0.9%

Length

2023-12-11T01:23:37.029155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:23:37.220010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 60
56.6%
야간연장 30
28.3%
장애아통합,야간연장 8
 
7.5%
일반,시간제보육 3
 
2.8%
야간연장,24시간 1
 
0.9%
장애아전문 1
 
0.9%
영아전담,야간연장 1
 
0.9%
장애아통합 1
 
0.9%
영아전담 1
 
0.9%

위도
Real number (ℝ)

Distinct105
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.224423
Minimum35.131181
Maximum37.564166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:23:37.413227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.131181
5-th percentile35.193026
Q135.196675
median35.201704
Q335.207498
95-th percentile35.216036
Maximum37.564166
Range2.4329853
Interquartile range (IQR)0.010822563

Descriptive statistics

Standard deviation0.2296382
Coefficient of variation (CV)0.0065192892
Kurtosis105.58687
Mean35.224423
Median Absolute Deviation (MAD)0.005343365
Skewness10.26553
Sum3733.7888
Variance0.052733704
MonotonicityNot monotonic
2023-12-11T01:23:37.643608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.19302571 2
 
1.9%
35.19674896 1
 
0.9%
35.22113178 1
 
0.9%
35.20920548 1
 
0.9%
35.20216467 1
 
0.9%
35.20671244 1
 
0.9%
35.1953707 1
 
0.9%
35.19481758 1
 
0.9%
35.1948983 1
 
0.9%
35.19665048 1
 
0.9%
Other values (95) 95
89.6%
ValueCountFrequency (%)
35.1311812 1
0.9%
35.19163118 1
0.9%
35.19275683 1
0.9%
35.19293456 1
0.9%
35.19299221 1
0.9%
35.19302571 2
1.9%
35.19396531 1
0.9%
35.19397929 1
0.9%
35.1942664 1
0.9%
35.19438545 1
0.9%
ValueCountFrequency (%)
37.56416649 1
0.9%
35.22331906 1
0.9%
35.22113178 1
0.9%
35.21650801 1
0.9%
35.2163625 1
0.9%
35.21607308 1
0.9%
35.21592459 1
0.9%
35.21487906 1
0.9%
35.21468632 1
0.9%
35.21419569 1
0.9%

경도
Real number (ℝ)

Distinct105
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06294
Minimum126.97992
Maximum129.14349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:23:37.843357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97992
5-th percentile129.05534
Q1129.06614
median129.08151
Q3129.09969
95-th percentile129.10944
Maximum129.14349
Range2.1635693
Interquartile range (IQR)0.033553775

Descriptive statistics

Standard deviation0.20511756
Coefficient of variation (CV)0.0015892832
Kurtosis104.16195
Mean129.06294
Median Absolute Deviation (MAD)0.01653
Skewness-10.162434
Sum13680.672
Variance0.042073215
MonotonicityNot monotonic
2023-12-11T01:23:38.027574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.1094403 2
 
1.9%
129.0533573 1
 
0.9%
129.0853019 1
 
0.9%
129.1029203 1
 
0.9%
129.0662623 1
 
0.9%
129.0843397 1
 
0.9%
129.091783 1
 
0.9%
129.1118454 1
 
0.9%
129.0933236 1
 
0.9%
129.1092074 1
 
0.9%
Other values (95) 95
89.6%
ValueCountFrequency (%)
126.9799207 1
0.9%
129.0533573 1
0.9%
129.0534885 1
0.9%
129.0535911 1
0.9%
129.0545142 1
0.9%
129.0552723 1
0.9%
129.0555368 1
0.9%
129.0576535 1
0.9%
129.0578289 1
0.9%
129.0579096 1
0.9%
ValueCountFrequency (%)
129.14349 1
0.9%
129.1137555 1
0.9%
129.1132674 1
0.9%
129.1132498 1
0.9%
129.1118454 1
0.9%
129.1094403 2
1.9%
129.1092074 1
0.9%
129.1085824 1
0.9%
129.1085789 1
0.9%
129.1072739 1
0.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum2023-07-10 00:00:00
Maximum2023-07-10 00:00:00
2023-12-11T01:23:38.177495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:23:38.297679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시도명시군구명어린이집명어린이집유형우편번호도로명주소전화번호팩스번호홈페이지주소보육실수보육실면적놀이터수CCTV설치수보육교직원수정원수현원수통학차량운영인가일어린이집특성위도경도데이터기준일자
0부산광역시동래구BR스쿨어린이집사회복지법인47873부산광역시 동래구 쇠미로27번길 10 (사직2동)051-504-8866051-504-8866<NA>10239210179065운영(신고)2004-03-17일반35.196749129.0533572023-07-10
1부산광역시동래구강변뜨란채어린이집국공립47894부산광역시 동래구 안남로 79 관리동 1층(강변뜨란채아파트)051-529-0032051-528-9556<NA>412208112826미운영2020-09-01야간연장35.194266129.1003422023-07-10
2부산광역시동래구경동아이숲어린이집민간47899부산광역시 동래구 충렬대로446번길 67 경동리인1차아파트 관리동1층051-523-2007051-523-2006<NA>3880432710미운영2016-01-18야간연장35.191631129.1067222023-07-10
3부산광역시동래구고운어린이집민간47872부산광역시 동래구 쇠미로81번길 33 관리동 1층 (사직2동,한신)051-503-3044051-503-3045<NA>5970653319운영(신고)1999-10-29일반35.201584129.0535912023-07-10
4부산광역시동래구금강어린이집가정47848부산광역시 동래구 아시아드대로247번길 53 102호(온천3동, 유림빌라)051-505-4492051-505-4922<NA>4660552018운영(신고)1996-03-04일반35.204145129.0637692023-07-10
5부산광역시동래구꼬마루어린이집가정47831부산광역시 동래구 여고로127번길 71 (사직3동)051-505-8164051-501-8264<NA>2523451514운영(신고)2003-04-25일반35.202078129.0751222023-07-10
6부산광역시동래구꼬마별어린이집가정47827부산광역시 동래구 충렬대로86번길 112051-501-8064<NA><NA>4510571613운영(신고)1997-04-28일반35.201812129.0701342023-07-10
7부산광역시동래구꼬마피카소어린이집민간47761부산광역시 동래구 명서로112번가길 25 (명장2동)051-527-5162<NA><NA>51152874920운영(신고)2004-10-30일반35.209737129.1010372023-07-10
8부산광역시동래구꿈나무어린이집민간47720부산광역시 동래구 금강로13번길 24 (온천2동)051-558-3782<NA><NA>925021659425운영(신고)2005-01-17일반35.213598129.0723432023-07-10
9부산광역시동래구낙민아라빌어린이집국공립47892부산광역시 동래구 안남로31번길 21051-557-0337051-937-0337<NA>5242114167754미운영2014-03-01야간연장,24시간35.19494129.095362023-07-10
시도명시군구명어린이집명어린이집유형우편번호도로명주소전화번호팩스번호홈페이지주소보육실수보육실면적놀이터수CCTV설치수보육교직원수정원수현원수통학차량운영인가일어린이집특성위도경도데이터기준일자
96부산광역시동래구한아름어린이집가정47720부산광역시 동래구 우장춘로74번길 17 동우빌 102호 (온천2동)051-555-5361051-555-5362<NA>48505102020운영(신고)1993-06-01영아전담35.214686129.0730772023-07-10
97부산광역시동래구한진어린이집가정47816부산광역시 동래구 충렬대로200번길 25 한진아파트 관리동 1층(수안동)051-552-4728<NA><NA>3540361713미운영1997-02-27일반35.201829129.0802322023-07-10
98부산광역시동래구해맑은어린이집민간47902부산광역시 동래구 온천천로399번길 14 107동 101호(낙민동, 동원아파트)051-522-2966051-522-2969<NA>413208113736운영(신고)2000-05-06일반35.192935129.0978812023-07-10
99부산광역시동래구해밀어린이집가정47741부산광역시 동래구 온천천로 83 세창아파트 213호 (명륜동)051-556-51180303-3440-5118<NA>453145209운영(신고)2009-08-26일반35.211869129.0800362023-07-10
100부산광역시동래구햇살어린이집국공립47829부산광역시 동래구 여고로91번길 77-10051-507-7070051-507-7070<NA>7187216146661운영(신고)2020-03-01야간연장35.200522129.0715662023-07-10
101부산광역시동래구행복한어린이집민간47837부산광역시 동래구 아시아드대로 234 관리동 107동 1층(온천3동,반도보라스카이뷰)051-507-0915051-507-0915<NA>3620462219미운영2007-01-30일반35.205018129.06612023-07-10
102부산광역시동래구혜화어린이집민간47769부산광역시 동래구 명장로99번길 25 (명장1동)051-523-0054051-523-4279<NA>18129332330300199운영(신고)2002-03-06일반35.201596129.113252023-07-10
103부산광역시동래구휴먼시아어린이집국공립47792부산광역시 동래구 충렬대로447번길 38 (안락2동)051-522-7970051-526-7970cafe.daum.net/inhumansia42110894235운영(신고)2011-11-01야간연장35.197431129.1085822023-07-10
104부산광역시동래구힐스테이트 명륜 어린이집국공립47744부산광역시 동래구 명륜로 222051-558-5153051-558-5154cafe.daum.net/hillstatemyeongyun521308154941미운영2019-03-01야간연장35.214196129.0835062023-07-10
105부산광역시동래구힐스테이트명륜트라디움어린이집국공립47740부산광역시 동래구 동래로57번길 94051-557-5004051-508-5006<NA>5177315166760미운영2022-08-01야간연장35.213084129.0818542023-07-10