Overview

Dataset statistics

Number of variables23
Number of observations114
Missing cells13
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.8 KiB
Average record size in memory196.2 B

Variable types

Categorical7
Numeric10
Text4
Boolean1
DateTime1

Dataset

Description부산광역시남구_어린이집현황_20230417
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15090300

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
운영현황 has constant value ""Constant
데이터기준일자 has constant value ""Constant
제공서비스 is highly imbalanced (56.3%)Imbalance
어린이집팩스번호 has 13 (11.4%) missing valuesMissing
어린이집코드 has unique valuesUnique
어린이집명 has unique valuesUnique
상세주소 has unique valuesUnique
어린이집전화번호 has unique valuesUnique
CCTV설치수 has 3 (2.6%) zerosZeros
현원수 has 4 (3.5%) zerosZeros

Reproduction

Analysis started2023-12-10 16:21:05.548687
Analysis finished2023-12-10 16:21:06.033154
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
부산광역시
114 

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 114
100.0%

Length

2023-12-11T01:21:06.133782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:21:06.267829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 114
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
남구
114 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 114
100.0%

Length

2023-12-11T01:21:06.412383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:21:06.552301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 114
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.629 × 1010
Minimum2.629 × 1010
Maximum2.629 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:21:06.686576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.629 × 1010
5-th percentile2.629 × 1010
Q12.629 × 1010
median2.629 × 1010
Q32.629 × 1010
95-th percentile2.629 × 1010
Maximum2.629 × 1010
Range228
Interquartile range (IQR)151.5

Descriptive statistics

Standard deviation76.497845
Coefficient of variation (CV)2.9097697 × 10-9
Kurtosis-1.4951468
Mean2.629 × 1010
Median Absolute Deviation (MAD)78.5
Skewness0.01391044
Sum2.99706 × 1012
Variance5851.9203
MonotonicityNot monotonic
2023-12-11T01:21:06.908425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26290000226 1
 
0.9%
26290000180 1
 
0.9%
26290000084 1
 
0.9%
26290000009 1
 
0.9%
26290000087 1
 
0.9%
26290000004 1
 
0.9%
26290000007 1
 
0.9%
26290000079 1
 
0.9%
26290000193 1
 
0.9%
26290000132 1
 
0.9%
Other values (104) 104
91.2%
ValueCountFrequency (%)
26290000004 1
0.9%
26290000006 1
0.9%
26290000007 1
0.9%
26290000009 1
0.9%
26290000010 1
0.9%
26290000012 1
0.9%
26290000013 1
0.9%
26290000014 1
0.9%
26290000015 1
0.9%
26290000016 1
0.9%
ValueCountFrequency (%)
26290000232 1
0.9%
26290000231 1
0.9%
26290000230 1
0.9%
26290000229 1
0.9%
26290000228 1
0.9%
26290000227 1
0.9%
26290000226 1
0.9%
26290000225 1
0.9%
26290000224 1
0.9%
26290000223 1
0.9%

어린이집명
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T01:21:07.303088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.7631579
Min length6

Characters and Unicode

Total characters885
Distinct characters189
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)100.0%

Sample

1st row(공립)대연자이어린이집
2nd row(공립)데시앙해링턴어린이집
3rd row(공립)오션파라곤어린이집
4th row(공립)천사어린이집
5th row21세기영아전담어린이집
ValueCountFrequency (%)
공립)대연자이어린이집 1
 
0.9%
양문어린이집 1
 
0.9%
용호한빛어린이집 1
 
0.9%
용호어린이집 1
 
0.9%
용산초등어린이집 1
 
0.9%
용당어린이집 1
 
0.9%
왕자와공주어린이집 1
 
0.9%
오륙도어린이집 1
 
0.9%
오륙도sk어린이집 1
 
0.9%
예쁜어린이집 1
 
0.9%
Other values (106) 106
91.4%
2023-12-11T01:21:07.948098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 130
 
14.7%
린 116
 
13.1%
어 115
 
13.0%
집 114
 
12.9%
아 16
 
1.8%
리 10
 
1.1%
대 10
 
1.1%
한 9
 
1.0%
오 8
 
0.9%
산 7
 
0.8%
Other values (179) 350
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 848
95.8%
Uppercase Letter 23
 
2.6%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Space Separator 2
 
0.2%
Lowercase Letter 2
 
0.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 130
15.3%
린 116
 
13.7%
어 115
 
13.6%
집 114
 
13.4%
아 16
 
1.9%
리 10
 
1.2%
대 10
 
1.2%
한 9
 
1.1%
오 8
 
0.9%
산 7
 
0.8%
Other values (159) 313
36.9%
Uppercase Letter
ValueCountFrequency (%)
G 3
13.0%
F 3
13.0%
K 2
8.7%
L 2
8.7%
I 2
8.7%
C 2
8.7%
S 2
8.7%
B 2
8.7%
H 1
 
4.3%
W 1
 
4.3%
Other values (3) 3
13.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 848
95.8%
Latin 25
 
2.8%
Common 12
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 130
15.3%
린 116
 
13.7%
어 115
 
13.6%
집 114
 
13.4%
아 16
 
1.9%
리 10
 
1.2%
대 10
 
1.2%
한 9
 
1.1%
오 8
 
0.9%
산 7
 
0.8%
Other values (159) 313
36.9%
Latin
ValueCountFrequency (%)
G 3
12.0%
F 3
12.0%
K 2
 
8.0%
L 2
 
8.0%
I 2
 
8.0%
C 2
 
8.0%
S 2
 
8.0%
B 2
 
8.0%
k 1
 
4.0%
s 1
 
4.0%
Other values (5) 5
20.0%
Common
ValueCountFrequency (%)
( 4
33.3%
) 4
33.3%
2
16.7%
2 1
 
8.3%
1 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 848
95.8%
ASCII 37
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 130
15.3%
린 116
 
13.7%
어 115
 
13.6%
집 114
 
13.4%
아 16
 
1.9%
리 10
 
1.2%
대 10
 
1.2%
한 9
 
1.1%
오 8
 
0.9%
산 7
 
0.8%
Other values (159) 313
36.9%
ASCII
ValueCountFrequency (%)
( 4
 
10.8%
) 4
 
10.8%
G 3
 
8.1%
F 3
 
8.1%
2
 
5.4%
K 2
 
5.4%
L 2
 
5.4%
I 2
 
5.4%
C 2
 
5.4%
S 2
 
5.4%
Other values (10) 11
29.7%

어린이집유형구분
Categorical

Distinct7
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
가정
42 
민간
38 
국공립
18 
직장
7 
사회복지법인
6 
Other values (2)
 
3

Length

Max length6
Median length2
Mean length2.4035088
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
가정 42
36.8%
민간 38
33.3%
국공립 18
15.8%
직장 7
 
6.1%
사회복지법인 6
 
5.3%
협동 2
 
1.8%
법인·단체등 1
 
0.9%

Length

2023-12-11T01:21:08.189630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:21:08.382379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 42
36.8%
민간 38
33.3%
국공립 18
15.8%
직장 7
 
6.1%
사회복지법인 6
 
5.3%
협동 2
 
1.8%
법인·단체등 1
 
0.9%

운영현황
Boolean

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size246.0 B
True
114 
ValueCountFrequency (%)
True 114
100.0%
2023-12-11T01:21:08.536312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

우편번호
Real number (ℝ)

Distinct76
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53413.658
Minimum48400
Maximum608811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:21:09.050105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48400
5-th percentile48413.65
Q148436.25
median48515
Q348545.25
95-th percentile48591.35
Maximum608811
Range560411
Interquartile range (IQR)109

Descriptive statistics

Standard deviation52478.095
Coefficient of variation (CV)0.98248458
Kurtosis113.99969
Mean53413.658
Median Absolute Deviation (MAD)59.5
Skewness10.677057
Sum6089157
Variance2.7539505 × 109
MonotonicityNot monotonic
2023-12-11T01:21:09.277786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48516 8
 
7.0%
48432 5
 
4.4%
48532 4
 
3.5%
48594 4
 
3.5%
48400 3
 
2.6%
48539 3
 
2.6%
48517 3
 
2.6%
48455 2
 
1.8%
48424 2
 
1.8%
48415 2
 
1.8%
Other values (66) 78
68.4%
ValueCountFrequency (%)
48400 3
2.6%
48404 1
 
0.9%
48409 1
 
0.9%
48413 1
 
0.9%
48414 1
 
0.9%
48415 2
1.8%
48417 1
 
0.9%
48418 1
 
0.9%
48420 1
 
0.9%
48422 1
 
0.9%
ValueCountFrequency (%)
608811 1
 
0.9%
48594 4
3.5%
48592 1
 
0.9%
48591 1
 
0.9%
48589 1
 
0.9%
48588 1
 
0.9%
48587 2
1.8%
48586 2
1.8%
48582 1
 
0.9%
48581 1
 
0.9%

상세주소
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T01:21:09.667320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40.5
Mean length32.447368
Min length15

Characters and Unicode

Total characters3699
Distinct characters179
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

Unique114 ?
Unique (%)100.0%

Sample

1st row부산광역시 남구 유엔로 246 대연자이아파트 108동 1층
2nd row부산광역시 남구 용주로 36
3rd row부산광역시 남구 우암로 300 (공립)오션파라곤어린이집
4th row부산광역시 남구 황령대로319번가길 190-6 대우그린1차아파트 입구
5th row부산광역시 남구 석포로 7 자유4차아파트 단지내 (감만동)
ValueCountFrequency (%)
부산광역시 114
 
16.9%
남구 114
 
16.9%
용호동 21
 
3.1%
대연동 11
 
1.6%
문현동 10
 
1.5%
분포로 9
 
1.3%
수영로 8
 
1.2%
관리동 7
 
1.0%
101동 7
 
1.0%
홍곡로 6
 
0.9%
Other values (263) 366
54.4%
2023-12-11T01:21:10.201057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
559
 
15.1%
1 212
 
5.7%
동 155
 
4.2%
로 123
 
3.3%
시 121
 
3.3%
남 121
 
3.3%
산 118
 
3.2%
부 117
 
3.2%
구 116
 
3.1%
광 114
 
3.1%
Other values (169) 1943
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2212
59.8%
Decimal Number 688
 
18.6%
Space Separator 559
 
15.1%
Close Punctuation 83
 
2.2%
Open Punctuation 83
 
2.2%
Other Punctuation 39
 
1.1%
Dash Punctuation 21
 
0.6%
Uppercase Letter 14
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 155
 
7.0%
로 123
 
5.6%
시 121
 
5.5%
남 121
 
5.5%
산 118
 
5.3%
부 117
 
5.3%
구 116
 
5.2%
광 114
 
5.2%
역 114
 
5.2%
호 80
 
3.6%
Other values (144) 1033
46.7%
Decimal Number
ValueCountFrequency (%)
1 212
30.8%
0 100
14.5%
3 74
 
10.8%
2 71
 
10.3%
4 53
 
7.7%
6 50
 
7.3%
5 44
 
6.4%
9 32
 
4.7%
7 27
 
3.9%
8 25
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
21.4%
K 2
14.3%
G 2
14.3%
I 1
 
7.1%
E 1
 
7.1%
W 1
 
7.1%
V 1
 
7.1%
C 1
 
7.1%
A 1
 
7.1%
L 1
 
7.1%
Space Separator
ValueCountFrequency (%)
559
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2212
59.8%
Common 1473
39.8%
Latin 14
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 155
 
7.0%
로 123
 
5.6%
시 121
 
5.5%
남 121
 
5.5%
산 118
 
5.3%
부 117
 
5.3%
구 116
 
5.2%
광 114
 
5.2%
역 114
 
5.2%
호 80
 
3.6%
Other values (144) 1033
46.7%
Common
ValueCountFrequency (%)
559
37.9%
1 212
 
14.4%
0 100
 
6.8%
) 83
 
5.6%
( 83
 
5.6%
3 74
 
5.0%
2 71
 
4.8%
4 53
 
3.6%
6 50
 
3.4%
5 44
 
3.0%
Other values (5) 144
 
9.8%
Latin
ValueCountFrequency (%)
S 3
21.4%
K 2
14.3%
G 2
14.3%
I 1
 
7.1%
E 1
 
7.1%
W 1
 
7.1%
V 1
 
7.1%
C 1
 
7.1%
A 1
 
7.1%
L 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2212
59.8%
ASCII 1487
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
559
37.6%
1 212
 
14.3%
0 100
 
6.7%
) 83
 
5.6%
( 83
 
5.6%
3 74
 
5.0%
2 71
 
4.8%
4 53
 
3.6%
6 50
 
3.4%
5 44
 
3.0%
Other values (15) 158
 
10.6%
Hangul
ValueCountFrequency (%)
동 155
 
7.0%
로 123
 
5.6%
시 121
 
5.5%
남 121
 
5.5%
산 118
 
5.3%
부 117
 
5.3%
구 116
 
5.2%
광 114
 
5.2%
역 114
 
5.2%
호 80
 
3.6%
Other values (144) 1033
46.7%

어린이집전화번호
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T01:21:10.524122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.026316
Min length12

Characters and Unicode

Total characters1371
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

Unique114 ?
Unique (%)100.0%

Sample

1st row051-626-2050
2nd row051-622-4123
3rd row051-639-8381
4th row051-628-1004
5th row051-636-3242
ValueCountFrequency (%)
051-626-2050 1
 
0.9%
051-635-6522 1
 
0.9%
051-628-6596 1
 
0.9%
051-626-3008 1
 
0.9%
051-624-5132 1
 
0.9%
051-625-9027 1
 
0.9%
051-612-0574 1
 
0.9%
051-612-2800 1
 
0.9%
051-621-4568 1
 
0.9%
051-627-1001 1
 
0.9%
Other values (104) 104
91.2%
2023-12-11T01:21:11.059911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 228
16.6%
0 198
14.4%
1 198
14.4%
5 161
11.7%
6 146
10.6%
2 124
9.0%
7 77
 
5.6%
3 77
 
5.6%
4 71
 
5.2%
8 49
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1143
83.4%
Dash Punctuation 228
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 198
17.3%
1 198
17.3%
5 161
14.1%
6 146
12.8%
2 124
10.8%
7 77
 
6.7%
3 77
 
6.7%
4 71
 
6.2%
8 49
 
4.3%
9 42
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1371
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 228
16.6%
0 198
14.4%
1 198
14.4%
5 161
11.7%
6 146
10.6%
2 124
9.0%
7 77
 
5.6%
3 77
 
5.6%
4 71
 
5.2%
8 49
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 228
16.6%
0 198
14.4%
1 198
14.4%
5 161
11.7%
6 146
10.6%
2 124
9.0%
7 77
 
5.6%
3 77
 
5.6%
4 71
 
5.2%
8 49
 
3.6%

어린이집팩스번호
Text

MISSING 

Distinct101
Distinct (%)100.0%
Missing13
Missing (%)11.4%
Memory size1.0 KiB
2023-12-11T01:21:11.562107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.089109
Min length12

Characters and Unicode

Total characters1221
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

Unique101 ?
Unique (%)100.0%

Sample

1st row051-622-2050
2nd row051-639-8382
3rd row051-628-1004
4th row051-636-3626
5th row051-647-9033
ValueCountFrequency (%)
051-628-0931 1
 
1.0%
051-627-6166 1
 
1.0%
050-4076-3696 1
 
1.0%
051-626-0211 1
 
1.0%
051-628-6562 1
 
1.0%
051-626-4008 1
 
1.0%
051-622-5131 1
 
1.0%
051-625-9027 1
 
1.0%
051-612-0575 1
 
1.0%
051-612-2800 1
 
1.0%
Other values (91) 91
90.1%
2023-12-11T01:21:12.203945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 202
16.5%
0 181
14.8%
1 172
14.1%
5 137
11.2%
6 130
10.6%
2 101
8.3%
3 75
 
6.1%
7 73
 
6.0%
8 55
 
4.5%
4 52
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1019
83.5%
Dash Punctuation 202
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 181
17.8%
1 172
16.9%
5 137
13.4%
6 130
12.8%
2 101
9.9%
3 75
7.4%
7 73
7.2%
8 55
 
5.4%
4 52
 
5.1%
9 43
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1221
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 202
16.5%
0 181
14.8%
1 172
14.1%
5 137
11.2%
6 130
10.6%
2 101
8.3%
3 75
 
6.1%
7 73
 
6.0%
8 55
 
4.5%
4 52
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 202
16.5%
0 181
14.8%
1 172
14.1%
5 137
11.2%
6 130
10.6%
2 101
8.3%
3 75
 
6.1%
7 73
 
6.0%
8 55
 
4.5%
4 52
 
4.3%

보육실수
Real number (ℝ)

Distinct10
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6929825
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:21:12.391245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q36
95-th percentile8
Maximum12
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8101347
Coefficient of variation (CV)0.38571094
Kurtosis2.2308631
Mean4.6929825
Median Absolute Deviation (MAD)1
Skewness1.3810005
Sum535
Variance3.2765875
MonotonicityNot monotonic
2023-12-11T01:21:12.556975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 33
28.9%
4 32
28.1%
5 17
14.9%
6 14
12.3%
7 9
 
7.9%
8 3
 
2.6%
9 2
 
1.8%
10 2
 
1.8%
2 1
 
0.9%
12 1
 
0.9%
ValueCountFrequency (%)
2 1
 
0.9%
3 33
28.9%
4 32
28.1%
5 17
14.9%
6 14
12.3%
7 9
 
7.9%
8 3
 
2.6%
9 2
 
1.8%
10 2
 
1.8%
12 1
 
0.9%
ValueCountFrequency (%)
12 1
 
0.9%
10 2
 
1.8%
9 2
 
1.8%
8 3
 
2.6%
7 9
 
7.9%
6 14
12.3%
5 17
14.9%
4 32
28.1%
3 33
28.9%
2 1
 
0.9%

보육실 면적
Real number (ℝ)

Distinct84
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.41228
Minimum35
Maximum455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:21:12.761834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile51
Q160
median109.5
Q3214.75
95-th percentile348.7
Maximum455
Range420
Interquartile range (IQR)154.75

Descriptive statistics

Standard deviation98.2498
Coefficient of variation (CV)0.68034242
Kurtosis0.42924197
Mean144.41228
Median Absolute Deviation (MAD)55.5
Skewness1.0532772
Sum16463
Variance9653.0232
MonotonicityNot monotonic
2023-12-11T01:21:12.965214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 6
 
5.3%
57 4
 
3.5%
51 3
 
2.6%
65 3
 
2.6%
66 3
 
2.6%
58 3
 
2.6%
54 3
 
2.6%
209 2
 
1.8%
134 2
 
1.8%
60 2
 
1.8%
Other values (74) 83
72.8%
ValueCountFrequency (%)
35 2
 
1.8%
39 1
 
0.9%
47 1
 
0.9%
51 3
2.6%
52 2
 
1.8%
53 6
5.3%
54 3
2.6%
56 1
 
0.9%
57 4
3.5%
58 3
2.6%
ValueCountFrequency (%)
455 1
0.9%
408 1
0.9%
407 1
0.9%
371 1
0.9%
357 1
0.9%
350 1
0.9%
348 1
0.9%
347 1
0.9%
306 1
0.9%
299 1
0.9%

놀이터수
Categorical

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
70 
1
21 
2
18 
3
 
4
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row2
2nd row3
3rd row3
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 70
61.4%
1 21
 
18.4%
2 18
 
15.8%
3 4
 
3.5%
4 1
 
0.9%

Length

2023-12-11T01:21:13.176149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:21:13.324879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 70
61.4%
1 21
 
18.4%
2 18
 
15.8%
3 4
 
3.5%
4 1
 
0.9%

CCTV설치수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3947368
Minimum0
Maximum25
Zeros3
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:21:13.468671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median6
Q39
95-th percentile16
Maximum25
Range25
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.7645788
Coefficient of variation (CV)0.64432026
Kurtosis3.4773004
Mean7.3947368
Median Absolute Deviation (MAD)2
Skewness1.696408
Sum843
Variance22.701211
MonotonicityNot monotonic
2023-12-11T01:21:13.654484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 36
31.6%
8 15
13.2%
5 11
 
9.6%
9 8
 
7.0%
10 6
 
5.3%
6 6
 
5.3%
7 6
 
5.3%
16 6
 
5.3%
13 5
 
4.4%
3 4
 
3.5%
Other values (6) 11
 
9.6%
ValueCountFrequency (%)
0 3
 
2.6%
3 4
 
3.5%
4 36
31.6%
5 11
 
9.6%
6 6
 
5.3%
7 6
 
5.3%
8 15
13.2%
9 8
 
7.0%
10 6
 
5.3%
11 3
 
2.6%
ValueCountFrequency (%)
25 1
 
0.9%
24 2
 
1.8%
23 1
 
0.9%
16 6
 
5.3%
13 5
 
4.4%
12 1
 
0.9%
11 3
 
2.6%
10 6
 
5.3%
9 8
7.0%
8 15
13.2%

보육교직원수
Real number (ℝ)

Distinct25
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8859649
Minimum0
Maximum26
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:21:13.858076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.65
Q15
median7
Q311
95-th percentile20.35
Maximum26
Range26
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.6408102
Coefficient of variation (CV)0.63479996
Kurtosis1.0458953
Mean8.8859649
Median Absolute Deviation (MAD)3
Skewness1.1836513
Sum1013
Variance31.818739
MonotonicityNot monotonic
2023-12-11T01:21:14.053338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
6 17
14.9%
7 13
11.4%
5 10
 
8.8%
3 8
 
7.0%
4 8
 
7.0%
10 8
 
7.0%
9 7
 
6.1%
8 5
 
4.4%
11 4
 
3.5%
13 4
 
3.5%
Other values (15) 30
26.3%
ValueCountFrequency (%)
0 1
 
0.9%
1 2
 
1.8%
2 3
 
2.6%
3 8
7.0%
4 8
7.0%
5 10
8.8%
6 17
14.9%
7 13
11.4%
8 5
 
4.4%
9 7
6.1%
ValueCountFrequency (%)
26 2
1.8%
24 2
1.8%
22 1
 
0.9%
21 1
 
0.9%
20 3
2.6%
19 1
 
0.9%
18 1
 
0.9%
17 1
 
0.9%
16 3
2.6%
15 2
1.8%

정원수
Real number (ℝ)

Distinct52
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.263158
Minimum13
Maximum171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:21:14.217854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile17
Q120
median34
Q370
95-th percentile129.75
Maximum171
Range158
Interquartile range (IQR)50

Descriptive statistics

Standard deviation36.647339
Coefficient of variation (CV)0.75932328
Kurtosis1.1193654
Mean48.263158
Median Absolute Deviation (MAD)15
Skewness1.3283586
Sum5502
Variance1343.0275
MonotonicityNot monotonic
2023-12-11T01:21:14.419414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 22
19.3%
19 12
 
10.5%
39 5
 
4.4%
99 4
 
3.5%
49 4
 
3.5%
24 3
 
2.6%
34 3
 
2.6%
18 3
 
2.6%
13 3
 
2.6%
79 2
 
1.8%
Other values (42) 53
46.5%
ValueCountFrequency (%)
13 3
 
2.6%
15 2
 
1.8%
17 2
 
1.8%
18 3
 
2.6%
19 12
10.5%
20 22
19.3%
24 3
 
2.6%
25 1
 
0.9%
28 1
 
0.9%
29 2
 
1.8%
ValueCountFrequency (%)
171 1
 
0.9%
154 1
 
0.9%
146 1
 
0.9%
145 1
 
0.9%
135 1
 
0.9%
133 1
 
0.9%
128 1
 
0.9%
120 1
 
0.9%
111 1
 
0.9%
99 4
3.5%

현원수
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.517544
Minimum0
Maximum127
Zeros4
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:21:14.660590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.65
Q112
median18
Q339.5
95-th percentile80.35
Maximum127
Range127
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation24.470402
Coefficient of variation (CV)0.88926549
Kurtosis1.9686319
Mean27.517544
Median Absolute Deviation (MAD)10
Skewness1.4750538
Sum3137
Variance598.80057
MonotonicityNot monotonic
2023-12-11T01:21:14.892190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 8
 
7.0%
18 6
 
5.3%
6 6
 
5.3%
7 5
 
4.4%
24 5
 
4.4%
20 5
 
4.4%
12 4
 
3.5%
0 4
 
3.5%
16 4
 
3.5%
15 4
 
3.5%
Other values (44) 63
55.3%
ValueCountFrequency (%)
0 4
3.5%
2 2
 
1.8%
3 2
 
1.8%
4 1
 
0.9%
6 6
5.3%
7 5
4.4%
8 2
 
1.8%
9 3
2.6%
11 3
2.6%
12 4
3.5%
ValueCountFrequency (%)
127 1
0.9%
87 1
0.9%
86 1
0.9%
85 1
0.9%
84 1
0.9%
81 1
0.9%
80 1
0.9%
75 1
0.9%
74 1
0.9%
72 1
0.9%

위도
Real number (ℝ)

Distinct106
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.13041
Minimum35.102798
Maximum35.182247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:21:15.116043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.102798
5-th percentile35.113192
Q135.122265
median35.129358
Q335.139708
95-th percentile35.148799
Maximum35.182247
Range0.0794495
Interquartile range (IQR)0.01744256

Descriptive statistics

Standard deviation0.012881198
Coefficient of variation (CV)0.00036666802
Kurtosis2.3926216
Mean35.13041
Median Absolute Deviation (MAD)0.00888594
Skewness0.84236536
Sum4004.8667
Variance0.00016592525
MonotonicityNot monotonic
2023-12-11T01:21:15.336385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.13996364 5
 
4.4%
35.12726563 2
 
1.8%
35.12923333 2
 
1.8%
35.15153463 2
 
1.8%
35.14444039 2
 
1.8%
35.12995252 1
 
0.9%
35.11274914 1
 
0.9%
35.12577509 1
 
0.9%
35.11496632 1
 
0.9%
35.12458627 1
 
0.9%
Other values (96) 96
84.2%
ValueCountFrequency (%)
35.10279779 1
0.9%
35.10341028 1
0.9%
35.10859867 1
0.9%
35.11013853 1
0.9%
35.110167 1
0.9%
35.11274914 1
0.9%
35.11343086 1
0.9%
35.11379973 1
0.9%
35.1144419 1
0.9%
35.11476653 1
0.9%
ValueCountFrequency (%)
35.18224729 1
0.9%
35.17737189 1
0.9%
35.15153463 2
1.8%
35.15110212 1
0.9%
35.15084757 1
0.9%
35.14769516 1
0.9%
35.14718682 1
0.9%
35.14715413 1
0.9%
35.14670013 1
0.9%
35.14637686 1
0.9%

경도
Real number (ℝ)

Distinct106
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.09557
Minimum129.06563
Maximum129.19142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:21:15.564655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.06563
5-th percentile129.06908
Q1129.08302
median129.0929
Q3129.10928
95-th percentile129.1156
Maximum129.19142
Range0.1257987
Interquartile range (IQR)0.026258675

Descriptive statistics

Standard deviation0.01783719
Coefficient of variation (CV)0.00013817043
Kurtosis5.8432704
Mean129.09557
Median Absolute Deviation (MAD)0.0143471
Skewness1.2339711
Sum14716.895
Variance0.00031816534
MonotonicityNot monotonic
2023-12-11T01:21:15.829600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.1035069 5
 
4.4%
129.1090419 2
 
1.8%
129.1110946 2
 
1.8%
129.0876328 2
 
1.8%
129.0787976 2
 
1.8%
129.1035685 1
 
0.9%
129.1092862 1
 
0.9%
129.0810329 1
 
0.9%
129.1120626 1
 
0.9%
129.1134979 1
 
0.9%
Other values (96) 96
84.2%
ValueCountFrequency (%)
129.065626 1
0.9%
129.0656932 1
0.9%
129.0683218 1
0.9%
129.0684235 1
0.9%
129.0686999 1
0.9%
129.0689091 1
0.9%
129.0691749 1
0.9%
129.0695753 1
0.9%
129.0702035 1
0.9%
129.0705387 1
0.9%
ValueCountFrequency (%)
129.1914247 1
0.9%
129.1273034 1
0.9%
129.1216512 1
0.9%
129.1197786 1
0.9%
129.1191902 1
0.9%
129.115949 1
0.9%
129.115408 1
0.9%
129.1153641 1
0.9%
129.1151348 1
0.9%
129.1148427 1
0.9%

통학차량운영여부
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
운영(신고)
63 
미운영
51 

Length

Max length6
Median length6
Mean length4.6578947
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영(신고) 63
55.3%
미운영 51
44.7%

Length

2023-12-11T01:21:16.063246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:21:16.210758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영(신고 63
55.3%
미운영 51
44.7%

인가일자
Date

Distinct107
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1982-03-01 00:00:00
Maximum2023-02-28 00:00:00
2023-12-11T01:21:16.387201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:21:16.591494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공서비스
Categorical

IMBALANCE 

Distinct7
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
일반
89 
야간연장
10 
장애아통합
 
7
일반,시간제보육
 
4
장애아전문
 
2
Other values (2)
 
2

Length

Max length9
Median length2
Mean length2.7017544
Min length2

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
일반 89
78.1%
야간연장 10
 
8.8%
장애아통합 7
 
6.1%
일반,시간제보육 4
 
3.5%
장애아전문 2
 
1.8%
영아전담 1
 
0.9%
야간연장,24시간 1
 
0.9%

Length

2023-12-11T01:21:16.814331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:21:16.992313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 89
78.1%
야간연장 10
 
8.8%
장애아통합 7
 
6.1%
일반,시간제보육 4
 
3.5%
장애아전문 2
 
1.8%
영아전담 1
 
0.9%
야간연장,24시간 1
 
0.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-04-17
114 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-17
2nd row2023-04-17
3rd row2023-04-17
4th row2023-04-17
5th row2023-04-17

Common Values

ValueCountFrequency (%)
2023-04-17 114
100.0%

Length

2023-12-11T01:21:17.163644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:21:17.305247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-17 114
100.0%

Sample

시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자제공서비스데이터기준일자
0부산광역시남구26290000226(공립)대연자이어린이집국공립Y48530부산광역시 남구 유엔로 246 대연자이아파트 108동 1층051-626-2050051-622-20503742712282835.129953129.103568미운영2020-05-18일반2023-04-17
1부산광역시남구26290000232(공립)데시앙해링턴어린이집국공립Y48592부산광역시 남구 용주로 36051-622-4123<NA>416430062035.110139129.112233미운영2023-02-01일반2023-04-17
2부산광역시남구26290000231(공립)오션파라곤어린이집국공립Y48478부산광역시 남구 우암로 300 (공립)오션파라곤어린이집051-639-8381051-639-83824181389242435.129542129.068909미운영2023-02-28일반2023-04-17
3부산광역시남구26290000225(공립)천사어린이집국공립Y48426부산광역시 남구 황령대로319번가길 190-6 대우그린1차아파트 입구051-628-1004051-628-1004721811311784835.151102129.089021운영(신고)2020-03-01일반2023-04-17
4부산광역시남구2629000002021세기영아전담어린이집민간Y48489부산광역시 남구 석포로 7 자유4차아파트 단지내 (감만동)051-636-3242051-636-36264930811401735.122297129.081595운영(신고)1997-08-27영아전담2023-04-17
5부산광역시남구26290000209BIFC어린이집직장Y48400부산광역시 남구 문현금융로 40 문현국제금융센터, 101호(문현동)051-647-9031051-647-90337407225261208035.147187129.065626미운영2014-11-28일반2023-04-17
6부산광역시남구26290000216BIFC푸른바다어린이집직장Y48400부산광역시 남구 문현금융로 40 부산국제금융센터 203호 (문현동)051-647-9041051-647-9043422201615454035.147154129.065693미운영2018-02-26일반2023-04-17
7부산광역시남구26290000173GS하이츠자이어린이집민간Y48515부산광역시 남구 신선로 566 GS하이츠자이 관리동 401동 (용호동)051-628-0017051-628-57575118056442035.132789129.110953미운영2010-02-01일반,시간제보육2023-04-17
8부산광역시남구26290000230HF보금자리어린이집직장Y48400부산광역시 남구 문현금융로 40 문현국제금융센터, 201호(문현동)051-637-0408051-637-0409625512419764935.182247129.072958미운영2022-09-23일반2023-04-17
9부산광역시남구26290000105LG메트로시티어린이집민간Y48516부산광역시 남구 분포로 111 (용호동, 엘지메트로시티아파트)051-612-4577051-612-457872231817646135.129233129.111095운영(신고)2002-07-05일반2023-04-17
시도명시군구명어린이집코드어린이집명어린이집유형구분운영현황우편번호상세주소어린이집전화번호어린이집팩스번호보육실수보육실 면적놀이터수CCTV설치수보육교직원수정원수현원수위도경도통학차량운영여부인가일자제공서비스데이터기준일자
104부산광역시남구26290000014한빛어린이집국공립Y48477부산광역시 남구 장고개로85번가길 16 (문현동)051-643-0592070-8228-05921245529131716535.131545129.0687운영(신고)1983-10-10일반2023-04-17
105부산광역시남구26290000046한사랑어린이집가정Y48516부산광역시 남구 분포로 113 134동 102호(용호동, 엘지메트로시티아파트)051-625-0708051-625-0708356046191735.127266129.109042미운영2000-09-04일반2023-04-17
106부산광역시남구26290000197한신햇살어린이집가정Y48535부산광역시 남구 유엔평화로 152-2 한신문화타운 103동 107호051-624-8802051-621-8803473057201335.122692129.097209운영(신고)2013-07-03일반2023-04-17
107부산광역시남구26290000098한아름어린이집사회복지법인Y48422부산광역시 남구 진남로232번길 7 (문현동)051-642-1604051-643-3338824221624998135.146377129.075723운영(신고)1997-03-14일반2023-04-17
108부산광역시남구26290000210해군작전사 바다별어린이집직장Y48536부산광역시 남구 신선로 393-15 용당해군숙소051-627-2014051-628-20134124089362235.120349129.096549운영(신고)2014-12-15일반2023-04-17
109부산광역시남구26290000083해뜨는어린이집민간Y48589부산광역시 남구 용호로269번길 10 (용호동)051-622-1770051-621-17708294116201118535.108599129.113202운영(신고)2004-12-26일반,시간제보육2023-04-17
110부산광역시남구26290000077행복한어린이집민간Y48444부산광역시 남구 못골로 91-12051-623-7637051-628-315762462921938435.136282129.092601운영(신고)1992-03-02야간연장,24시간2023-04-17
111부산광역시남구26290000129현대아이엔젤어린이집가정Y48559부산광역시 남구 동명로 26 104동 103호(용당동, 현대아이아파트)051-622-7475070-7592-982335804318635.118931129.099145미운영2009-02-04일반2023-04-17
112부산광역시남구26290000041현대어린이집민간Y48517부산광역시 남구 용호로42번길 14 현대비치 아파트 내 현대어린이집 (용호동)051-611-2414051-611-272052483612864135.126113129.108556운영(신고)1997-12-01장애아통합2023-04-17
113부산광역시남구26290000056호산나어린이집민간Y48524부산광역시 남구 용호로106번가길 14 호산나어린이집 (용호동)051-622-4413051-626-8224720939539735.122993129.111283운영(신고)1997-05-28일반2023-04-17