Overview

Dataset statistics

Number of variables24
Number of observations80
Missing cells61
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.0 KiB
Average record size in memory204.7 B

Variable types

Categorical5
Numeric10
Text5
Boolean2
DateTime2

Dataset

Description부산광역시금정구_어린이집_20220506
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15100169

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
운영현황 has constant value ""Constant
데이터기준일자 has constant value ""Constant
어린이집특성 is highly imbalanced (53.5%)Imbalance
어린이집팩스번호 has 8 (10.0%) missing valuesMissing
홈페이지주소 has 53 (66.2%) missing valuesMissing
어린이집코드 has unique valuesUnique
어린이집명 has unique valuesUnique
어린이집전화번호 has unique valuesUnique
CCTV설치 has 1 (1.2%) zerosZeros

Reproduction

Analysis started2023-12-10 16:12:41.562476
Analysis finished2023-12-10 16:12:41.928373
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
부산광역시
80 

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 80
100.0%

Length

2023-12-11T01:12:41.985488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:12:42.078865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 80
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
금정구
80 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금정구 80
100.0%

Length

2023-12-11T01:12:42.202317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:12:42.308589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금정구 80
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.641 × 1010
Minimum2.641 × 1010
Maximum2.641 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T01:12:42.458941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.641 × 1010
5-th percentile2.641 × 1010
Q12.641 × 1010
median2.641 × 1010
Q32.641 × 1010
95-th percentile2.641 × 1010
Maximum2.641 × 1010
Range186
Interquartile range (IQR)96

Descriptive statistics

Standard deviation60.489648
Coefficient of variation (CV)2.2904069 × 10-9
Kurtosis-1.2575212
Mean2.641 × 1010
Median Absolute Deviation (MAD)51.5
Skewness0.28228709
Sum2.1128 × 1012
Variance3658.9975
MonotonicityNot monotonic
2023-12-11T01:12:42.600183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26410000174 1
 
1.2%
26410000076 1
 
1.2%
26410000169 1
 
1.2%
26410000010 1
 
1.2%
26410000026 1
 
1.2%
26410000171 1
 
1.2%
26410000182 1
 
1.2%
26410000126 1
 
1.2%
26410000170 1
 
1.2%
26410000011 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
26410000001 1
1.2%
26410000003 1
1.2%
26410000004 1
1.2%
26410000005 1
1.2%
26410000006 1
1.2%
26410000008 1
1.2%
26410000009 1
1.2%
26410000010 1
1.2%
26410000011 1
1.2%
26410000012 1
1.2%
ValueCountFrequency (%)
26410000187 1
1.2%
26410000186 1
1.2%
26410000185 1
1.2%
26410000184 1
1.2%
26410000183 1
1.2%
26410000182 1
1.2%
26410000181 1
1.2%
26410000180 1
1.2%
26410000179 1
1.2%
26410000178 1
1.2%

어린이집명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-11T01:12:42.819493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.4875
Min length6

Characters and Unicode

Total characters599
Distinct characters131
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)100.0%

Sample

1st rowBNK금정어린이집
2nd row공립구서어린이집
3rd row공립부곡복지어린이집
4th row구서SK뷰해야어린이집
5th row구서롯데어린이집
ValueCountFrequency (%)
어린이집 8
 
8.9%
bnk금정어린이집 1
 
1.1%
성심어린이집 1
 
1.1%
아이원어린이집 1
 
1.1%
아이미래어린이집 1
 
1.1%
아이누리어린이집 1
 
1.1%
씨드키즈어린이집 1
 
1.1%
쌍용예가어린이집 1
 
1.1%
신명어린이집 1
 
1.1%
영재타운어린이집 1
 
1.1%
Other values (73) 73
81.1%
2023-12-11T01:12:43.136277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 86
 
14.4%
린 81
 
13.5%
집 80
 
13.4%
어 80
 
13.4%
산 11
 
1.8%
동 10
 
1.7%
10
 
1.7%
부 7
 
1.2%
미 6
 
1.0%
금 6
 
1.0%
Other values (121) 222
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 582
97.2%
Space Separator 10
 
1.7%
Uppercase Letter 7
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 86
14.8%
린 81
 
13.9%
집 80
 
13.7%
어 80
 
13.7%
산 11
 
1.9%
동 10
 
1.7%
부 7
 
1.2%
미 6
 
1.0%
금 6
 
1.0%
서 6
 
1.0%
Other values (116) 209
35.9%
Uppercase Letter
ValueCountFrequency (%)
K 3
42.9%
S 2
28.6%
B 1
 
14.3%
N 1
 
14.3%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 582
97.2%
Common 10
 
1.7%
Latin 7
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 86
14.8%
린 81
 
13.9%
집 80
 
13.7%
어 80
 
13.7%
산 11
 
1.9%
동 10
 
1.7%
부 7
 
1.2%
미 6
 
1.0%
금 6
 
1.0%
서 6
 
1.0%
Other values (116) 209
35.9%
Latin
ValueCountFrequency (%)
K 3
42.9%
S 2
28.6%
B 1
 
14.3%
N 1
 
14.3%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 582
97.2%
ASCII 17
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 86
14.8%
린 81
 
13.9%
집 80
 
13.7%
어 80
 
13.7%
산 11
 
1.9%
동 10
 
1.7%
부 7
 
1.2%
미 6
 
1.0%
금 6
 
1.0%
서 6
 
1.0%
Other values (116) 209
35.9%
ASCII
ValueCountFrequency (%)
10
58.8%
K 3
 
17.6%
S 2
 
11.8%
B 1
 
5.9%
N 1
 
5.9%

어린이집유형
Categorical

Distinct6
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
민간
39 
가정
18 
국공립
13 
사회복지법인
6 
직장
 
3

Length

Max length6
Median length2
Mean length2.5125
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
민간 39
48.8%
가정 18
22.5%
국공립 13
 
16.2%
사회복지법인 6
 
7.5%
직장 3
 
3.8%
법인·단체등 1
 
1.2%

Length

2023-12-11T01:12:43.594007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:12:43.726762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 39
48.8%
가정 18
22.5%
국공립 13
 
16.2%
사회복지법인 6
 
7.5%
직장 3
 
3.8%
법인·단체등 1
 
1.2%

운영현황
Boolean

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size212.0 B
True
80 
ValueCountFrequency (%)
True 80
100.0%
2023-12-11T01:12:43.830883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

우편번호
Real number (ℝ)

Distinct57
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46269.137
Minimum46214
Maximum46335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T01:12:43.929217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46214
5-th percentile46217
Q146241.75
median46271.5
Q346296
95-th percentile46318.15
Maximum46335
Range121
Interquartile range (IQR)54.25

Descriptive statistics

Standard deviation34.098051
Coefficient of variation (CV)0.00073695021
Kurtosis-1.1184329
Mean46269.137
Median Absolute Deviation (MAD)28
Skewness-0.031944623
Sum3701531
Variance1162.6771
MonotonicityNot monotonic
2023-12-11T01:12:44.086690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46270 3
 
3.8%
46217 3
 
3.8%
46296 3
 
3.8%
46230 3
 
3.8%
46275 2
 
2.5%
46278 2
 
2.5%
46294 2
 
2.5%
46269 2
 
2.5%
46242 2
 
2.5%
46298 2
 
2.5%
Other values (47) 56
70.0%
ValueCountFrequency (%)
46214 1
 
1.2%
46215 1
 
1.2%
46217 3
3.8%
46218 1
 
1.2%
46219 2
2.5%
46220 1
 
1.2%
46221 2
2.5%
46224 1
 
1.2%
46230 3
3.8%
46231 1
 
1.2%
ValueCountFrequency (%)
46335 1
1.2%
46334 1
1.2%
46328 1
1.2%
46321 1
1.2%
46318 1
1.2%
46316 2
2.5%
46315 1
1.2%
46313 2
2.5%
46310 1
1.2%
46307 1
1.2%

상세주소
Text

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-11T01:12:44.381962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length30.0625
Min length16

Characters and Unicode

Total characters2405
Distinct characters145
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

Unique78 ?
Unique (%)97.5%

Sample

1st row부산광역시 금정구 금강로 324 (장전동)
2nd row부산광역시 금정구 금강로 503 롯데캐슬골드 2단지내 (구서동)
3rd row부산광역시 금정구 동현로 67 2차상가동내(부곡동, 부곡시영아파트)
4th row부산광역시 금정구 금샘로246번길 18 구서동, 구서SK뷰1단지아파트
5th row부산광역시 금정구 금강로 502 관리동(구서동,롯데캐슬골드1단지)
ValueCountFrequency (%)
금정구 81
 
18.4%
부산광역시 80
 
18.2%
장전동 10
 
2.3%
구서동 8
 
1.8%
부곡동 7
 
1.6%
서동 7
 
1.6%
금강로 6
 
1.4%
50 4
 
0.9%
101호(부곡동 3
 
0.7%
금정로 3
 
0.7%
Other values (188) 231
52.5%
2023-12-11T01:12:44.857817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
361
 
15.0%
금 123
 
5.1%
부 118
 
4.9%
산 100
 
4.2%
구 97
 
4.0%
정 93
 
3.9%
1 92
 
3.8%
동 86
 
3.6%
시 83
 
3.5%
역 83
 
3.5%
Other values (135) 1169
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1501
62.4%
Decimal Number 399
 
16.6%
Space Separator 361
 
15.0%
Close Punctuation 53
 
2.2%
Open Punctuation 53
 
2.2%
Other Punctuation 21
 
0.9%
Dash Punctuation 13
 
0.5%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 123
 
8.2%
부 118
 
7.9%
산 100
 
6.7%
구 97
 
6.5%
정 93
 
6.2%
동 86
 
5.7%
시 83
 
5.5%
역 83
 
5.5%
로 82
 
5.5%
광 80
 
5.3%
Other values (118) 556
37.0%
Decimal Number
ValueCountFrequency (%)
1 92
23.1%
2 57
14.3%
0 52
13.0%
5 39
9.8%
3 38
9.5%
7 30
 
7.5%
6 29
 
7.3%
4 27
 
6.8%
8 20
 
5.0%
9 15
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
K 2
50.0%
Space Separator
ValueCountFrequency (%)
361
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1501
62.4%
Common 900
37.4%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 123
 
8.2%
부 118
 
7.9%
산 100
 
6.7%
구 97
 
6.5%
정 93
 
6.2%
동 86
 
5.7%
시 83
 
5.5%
역 83
 
5.5%
로 82
 
5.5%
광 80
 
5.3%
Other values (118) 556
37.0%
Common
ValueCountFrequency (%)
361
40.1%
1 92
 
10.2%
2 57
 
6.3%
) 53
 
5.9%
( 53
 
5.9%
0 52
 
5.8%
5 39
 
4.3%
3 38
 
4.2%
7 30
 
3.3%
6 29
 
3.2%
Other values (5) 96
 
10.7%
Latin
ValueCountFrequency (%)
S 2
50.0%
K 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1501
62.4%
ASCII 904
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
361
39.9%
1 92
 
10.2%
2 57
 
6.3%
) 53
 
5.9%
( 53
 
5.9%
0 52
 
5.8%
5 39
 
4.3%
3 38
 
4.2%
7 30
 
3.3%
6 29
 
3.2%
Other values (7) 100
 
11.1%
Hangul
ValueCountFrequency (%)
금 123
 
8.2%
부 118
 
7.9%
산 100
 
6.7%
구 97
 
6.5%
정 93
 
6.2%
동 86
 
5.7%
시 83
 
5.5%
역 83
 
5.5%
로 82
 
5.5%
광 80
 
5.3%
Other values (118) 556
37.0%

어린이집전화번호
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-11T01:12:45.134793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters960
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

Unique80 ?
Unique (%)100.0%

Sample

1st row051-513-2561
2nd row051-518-1437
3rd row051-515-2066
4th row051-583-4110
5th row051-912-5158
ValueCountFrequency (%)
051-513-2561 1
 
1.2%
051-518-1437 1
 
1.2%
051-582-3209 1
 
1.2%
051-513-9990 1
 
1.2%
051-951-5115 1
 
1.2%
051-513-8108 1
 
1.2%
051-517-5936 1
 
1.2%
051-711-2588 1
 
1.2%
051-517-7454 1
 
1.2%
051-514-3393 1
 
1.2%
Other values (70) 70
87.5%
2023-12-11T01:12:45.549349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 197
20.5%
1 176
18.3%
- 160
16.7%
0 131
13.6%
2 52
 
5.4%
3 49
 
5.1%
7 46
 
4.8%
8 44
 
4.6%
9 39
 
4.1%
4 34
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
83.3%
Dash Punctuation 160
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 197
24.6%
1 176
22.0%
0 131
16.4%
2 52
 
6.5%
3 49
 
6.1%
7 46
 
5.8%
8 44
 
5.5%
9 39
 
4.9%
4 34
 
4.2%
6 32
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 960
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 197
20.5%
1 176
18.3%
- 160
16.7%
0 131
13.6%
2 52
 
5.4%
3 49
 
5.1%
7 46
 
4.8%
8 44
 
4.6%
9 39
 
4.1%
4 34
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 197
20.5%
1 176
18.3%
- 160
16.7%
0 131
13.6%
2 52
 
5.4%
3 49
 
5.1%
7 46
 
4.8%
8 44
 
4.6%
9 39
 
4.1%
4 34
 
3.5%

어린이집팩스번호
Text

MISSING 

Distinct71
Distinct (%)98.6%
Missing8
Missing (%)10.0%
Memory size772.0 B
2023-12-11T01:12:45.828340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.097222
Min length12

Characters and Unicode

Total characters871
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

Unique70 ?
Unique (%)97.2%

Sample

1st row051-513-2562
2nd row051-517-2552
3rd row051-516-1963
4th row051-936-5158
5th row051-583-5159
ValueCountFrequency (%)
051-518-0213 2
 
2.8%
051-522-0819 1
 
1.4%
051-513-2562 1
 
1.4%
051-514-4327 1
 
1.4%
051-929-9991 1
 
1.4%
051-951-5116 1
 
1.4%
051-517-5936 1
 
1.4%
051-711-2589 1
 
1.4%
051-517-7454 1
 
1.4%
051-581-3209 1
 
1.4%
Other values (61) 61
84.7%
2023-12-11T01:12:46.215506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 166
19.1%
- 144
16.5%
1 141
16.2%
0 134
15.4%
2 50
 
5.7%
3 47
 
5.4%
9 46
 
5.3%
7 41
 
4.7%
8 37
 
4.2%
6 34
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 727
83.5%
Dash Punctuation 144
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 166
22.8%
1 141
19.4%
0 134
18.4%
2 50
 
6.9%
3 47
 
6.5%
9 46
 
6.3%
7 41
 
5.6%
8 37
 
5.1%
6 34
 
4.7%
4 31
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 871
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 166
19.1%
- 144
16.5%
1 141
16.2%
0 134
15.4%
2 50
 
5.7%
3 47
 
5.4%
9 46
 
5.3%
7 41
 
4.7%
8 37
 
4.2%
6 34
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 871
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 166
19.1%
- 144
16.5%
1 141
16.2%
0 134
15.4%
2 50
 
5.7%
3 47
 
5.4%
9 46
 
5.3%
7 41
 
4.7%
8 37
 
4.2%
6 34
 
3.9%

홈페이지주소
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing53
Missing (%)66.2%
Memory size772.0 B
2023-12-11T01:12:46.505813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length25.555556
Min length15

Characters and Unicode

Total characters690
Distinct characters54
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st rowwww.puruni.com/busanbank3
2nd rowhttp://cafe.naver.com/geumsaem4846
3rd row네이버카페 금정산sk어린이집
4th rowosjjlove@hanmail.net
5th rowktp://cafe.naver.com/dreamlovechildren
ValueCountFrequency (%)
www.puruni.com/busanbank3 1
 
3.6%
http://cafe.naver.com/geumsaem4846 1
 
3.6%
https://blog.naver.com/sunnykids7130 1
 
3.6%
https://blog.naver.com/gksmftoa5080 1
 
3.6%
5815838@hanmaiㅣ.net 1
 
3.6%
http://cafe.daum.net/kid-1 1
 
3.6%
http://cafe.naver.com/01034224133 1
 
3.6%
cafe.daum.net/59yh 1
 
3.6%
jos9990@naver.com 1
 
3.6%
daum/cafe/inoori 1
 
3.6%
Other values (18) 18
64.3%
2023-12-11T01:12:46.904191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 60
 
8.7%
e 50
 
7.2%
/ 45
 
6.5%
. 45
 
6.5%
n 41
 
5.9%
t 38
 
5.5%
m 34
 
4.9%
o 31
 
4.5%
c 29
 
4.2%
h 23
 
3.3%
Other values (44) 294
42.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 488
70.7%
Other Punctuation 109
 
15.8%
Decimal Number 75
 
10.9%
Other Letter 13
 
1.9%
Uppercase Letter 3
 
0.4%
Dash Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 60
12.3%
e 50
 
10.2%
n 41
 
8.4%
t 38
 
7.8%
m 34
 
7.0%
o 31
 
6.4%
c 29
 
5.9%
h 23
 
4.7%
d 20
 
4.1%
i 19
 
3.9%
Other values (13) 143
29.3%
Other Letter
ValueCountFrequency (%)
이 2
15.4%
집 1
7.7%
버 1
7.7%
네 1
7.7%
카 1
7.7%
린 1
7.7%
페 1
7.7%
금 1
7.7%
정 1
7.7%
산 1
7.7%
Other values (2) 2
15.4%
Decimal Number
ValueCountFrequency (%)
1 14
18.7%
0 11
14.7%
8 10
13.3%
3 9
12.0%
9 9
12.0%
4 7
9.3%
5 7
9.3%
2 5
 
6.7%
7 2
 
2.7%
6 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
/ 45
41.3%
. 45
41.3%
: 12
 
11.0%
@ 7
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
I 1
33.3%
K 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 491
71.2%
Common 186
 
27.0%
Hangul 13
 
1.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 60
12.2%
e 50
 
10.2%
n 41
 
8.4%
t 38
 
7.7%
m 34
 
6.9%
o 31
 
6.3%
c 29
 
5.9%
h 23
 
4.7%
d 20
 
4.1%
i 19
 
3.9%
Other values (16) 146
29.7%
Common
ValueCountFrequency (%)
/ 45
24.2%
. 45
24.2%
1 14
 
7.5%
: 12
 
6.5%
0 11
 
5.9%
8 10
 
5.4%
3 9
 
4.8%
9 9
 
4.8%
4 7
 
3.8%
5 7
 
3.8%
Other values (6) 17
 
9.1%
Hangul
ValueCountFrequency (%)
이 2
15.4%
집 1
7.7%
버 1
7.7%
네 1
7.7%
카 1
7.7%
린 1
7.7%
페 1
7.7%
금 1
7.7%
정 1
7.7%
산 1
7.7%
Other values (2) 2
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 677
98.1%
Hangul 12
 
1.7%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 60
 
8.9%
e 50
 
7.4%
/ 45
 
6.6%
. 45
 
6.6%
n 41
 
6.1%
t 38
 
5.6%
m 34
 
5.0%
o 31
 
4.6%
c 29
 
4.3%
h 23
 
3.4%
Other values (32) 281
41.5%
Hangul
ValueCountFrequency (%)
이 2
16.7%
집 1
8.3%
버 1
8.3%
네 1
8.3%
카 1
8.3%
린 1
8.3%
페 1
8.3%
금 1
8.3%
정 1
8.3%
산 1
8.3%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

보육실수
Real number (ℝ)

Distinct12
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5625
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T01:12:47.044825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q37
95-th percentile10
Maximum16
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5350393
Coefficient of variation (CV)0.4557374
Kurtosis4.7177352
Mean5.5625
Median Absolute Deviation (MAD)1
Skewness1.7851299
Sum445
Variance6.4264241
MonotonicityNot monotonic
2023-12-11T01:12:47.270809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 16
20.0%
3 15
18.8%
6 15
18.8%
5 12
15.0%
7 9
11.2%
8 5
 
6.2%
9 2
 
2.5%
10 2
 
2.5%
16 1
 
1.2%
15 1
 
1.2%
Other values (2) 2
 
2.5%
ValueCountFrequency (%)
2 1
 
1.2%
3 15
18.8%
4 16
20.0%
5 12
15.0%
6 15
18.8%
7 9
11.2%
8 5
 
6.2%
9 2
 
2.5%
10 2
 
2.5%
12 1
 
1.2%
ValueCountFrequency (%)
16 1
 
1.2%
15 1
 
1.2%
12 1
 
1.2%
10 2
 
2.5%
9 2
 
2.5%
8 5
 
6.2%
7 9
11.2%
6 15
18.8%
5 12
15.0%
4 16
20.0%

보육실면적
Real number (ℝ)

Distinct71
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.166
Minimum50
Maximum788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T01:12:47.474584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile56.95
Q188.75
median146.5
Q3248.5
95-th percentile346.2
Maximum788
Range738
Interquartile range (IQR)159.75

Descriptive statistics

Standard deviation118.10839
Coefficient of variation (CV)0.66291208
Kurtosis7.5924953
Mean178.166
Median Absolute Deviation (MAD)77.5
Skewness1.9869509
Sum14253.28
Variance13949.593
MonotonicityNot monotonic
2023-12-11T01:12:47.706802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.0 3
 
3.8%
85.0 3
 
3.8%
63.0 2
 
2.5%
341.0 2
 
2.5%
114.0 2
 
2.5%
50.0 2
 
2.5%
257.0 2
 
2.5%
194.28 1
 
1.2%
90.0 1
 
1.2%
142.0 1
 
1.2%
Other values (61) 61
76.2%
ValueCountFrequency (%)
50.0 2
2.5%
52.0 1
 
1.2%
56.0 1
 
1.2%
57.0 1
 
1.2%
60.0 3
3.8%
61.0 1
 
1.2%
62.0 1
 
1.2%
63.0 2
2.5%
64.0 1
 
1.2%
68.0 1
 
1.2%
ValueCountFrequency (%)
788.0 1
1.2%
427.0 1
1.2%
359.0 1
1.2%
350.0 1
1.2%
346.0 1
1.2%
341.0 2
2.5%
332.0 1
1.2%
319.0 1
1.2%
310.0 1
1.2%
308.0 1
1.2%

놀이터수
Categorical

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
0
41 
1
26 
2
9 
3
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 41
51.2%
1 26
32.5%
2 9
 
11.2%
3 3
 
3.8%
4 1
 
1.2%

Length

2023-12-11T01:12:47.889743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:12:48.026211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 41
51.2%
1 26
32.5%
2 9
 
11.2%
3 3
 
3.8%
4 1
 
1.2%

CCTV설치
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.875
Minimum0
Maximum24
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T01:12:48.168751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q14
median8
Q310
95-th percentile16
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.9916844
Coefficient of variation (CV)0.50688056
Kurtosis3.12956
Mean7.875
Median Absolute Deviation (MAD)3
Skewness1.3766684
Sum630
Variance15.933544
MonotonicityNot monotonic
2023-12-11T01:12:48.343755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 20
25.0%
8 16
20.0%
10 10
12.5%
7 9
11.2%
5 7
 
8.8%
11 3
 
3.8%
9 3
 
3.8%
16 3
 
3.8%
13 2
 
2.5%
14 2
 
2.5%
Other values (5) 5
 
6.2%
ValueCountFrequency (%)
0 1
 
1.2%
4 20
25.0%
5 7
 
8.8%
6 1
 
1.2%
7 9
11.2%
8 16
20.0%
9 3
 
3.8%
10 10
12.5%
11 3
 
3.8%
12 1
 
1.2%
ValueCountFrequency (%)
24 1
 
1.2%
20 1
 
1.2%
16 3
 
3.8%
14 2
 
2.5%
13 2
 
2.5%
12 1
 
1.2%
11 3
 
3.8%
10 10
12.5%
9 3
 
3.8%
8 16
20.0%

보육교직원수
Real number (ℝ)

Distinct22
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.825
Minimum3
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T01:12:48.495291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median10
Q314
95-th percentile22.05
Maximum38
Range35
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.0415754
Coefficient of variation (CV)0.5581132
Kurtosis4.7556871
Mean10.825
Median Absolute Deviation (MAD)3.5
Skewness1.7397205
Sum866
Variance36.500633
MonotonicityNot monotonic
2023-12-11T01:12:48.653206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
8 10
12.5%
7 8
 
10.0%
10 8
 
10.0%
5 7
 
8.8%
14 5
 
6.2%
6 5
 
6.2%
15 4
 
5.0%
4 4
 
5.0%
11 4
 
5.0%
12 4
 
5.0%
Other values (12) 21
26.2%
ValueCountFrequency (%)
3 2
 
2.5%
4 4
 
5.0%
5 7
8.8%
6 5
6.2%
7 8
10.0%
8 10
12.5%
9 3
 
3.8%
10 8
10.0%
11 4
 
5.0%
12 4
 
5.0%
ValueCountFrequency (%)
38 1
 
1.2%
29 1
 
1.2%
23 2
2.5%
22 1
 
1.2%
21 1
 
1.2%
19 1
 
1.2%
18 1
 
1.2%
17 2
2.5%
16 3
3.8%
15 4
5.0%

정원수
Real number (ℝ)

Distinct48
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.1
Minimum16
Maximum223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T01:12:48.818933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile19
Q126.75
median46
Q368.25
95-th percentile118.1
Maximum223
Range207
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation36.464861
Coefficient of variation (CV)0.674027
Kurtosis5.0422162
Mean54.1
Median Absolute Deviation (MAD)21
Skewness1.8225961
Sum4328
Variance1329.6861
MonotonicityNot monotonic
2023-12-11T01:12:49.002424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
19 11
 
13.8%
39 5
 
6.2%
20 5
 
6.2%
46 4
 
5.0%
49 4
 
5.0%
32 2
 
2.5%
53 2
 
2.5%
57 2
 
2.5%
31 2
 
2.5%
40 2
 
2.5%
Other values (38) 41
51.2%
ValueCountFrequency (%)
16 1
 
1.2%
17 1
 
1.2%
19 11
13.8%
20 5
6.2%
24 1
 
1.2%
26 1
 
1.2%
27 1
 
1.2%
29 1
 
1.2%
31 2
 
2.5%
32 2
 
2.5%
ValueCountFrequency (%)
223 1
1.2%
147 1
1.2%
141 1
1.2%
120 1
1.2%
118 2
2.5%
101 1
1.2%
100 2
2.5%
97 1
1.2%
95 1
1.2%
92 1
1.2%

현원수
Real number (ℝ)

Distinct48
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.2625
Minimum6
Maximum183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T01:12:49.195140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9
Q114.75
median28
Q345.5
95-th percentile85.1
Maximum183
Range177
Interquartile range (IQR)30.75

Descriptive statistics

Standard deviation30.859725
Coefficient of variation (CV)0.85100931
Kurtosis7.0806969
Mean36.2625
Median Absolute Deviation (MAD)14.5
Skewness2.2746131
Sum2901
Variance952.32263
MonotonicityNot monotonic
2023-12-11T01:12:49.393177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
12 6
 
7.5%
9 5
 
6.2%
13 4
 
5.0%
19 3
 
3.8%
18 3
 
3.8%
41 3
 
3.8%
42 2
 
2.5%
17 2
 
2.5%
14 2
 
2.5%
45 2
 
2.5%
Other values (38) 48
60.0%
ValueCountFrequency (%)
6 2
 
2.5%
9 5
6.2%
11 1
 
1.2%
12 6
7.5%
13 4
5.0%
14 2
 
2.5%
15 2
 
2.5%
16 2
 
2.5%
17 2
 
2.5%
18 3
3.8%
ValueCountFrequency (%)
183 1
1.2%
143 1
1.2%
119 1
1.2%
87 1
1.2%
85 1
1.2%
79 1
1.2%
78 1
1.2%
74 1
1.2%
73 1
1.2%
71 1
1.2%

위도
Real number (ℝ)

Distinct76
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.294756
Minimum35.05918
Maximum37.56647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T01:12:49.606355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.05918
5-th percentile35.216073
Q135.226334
median35.235693
Q335.251336
95-th percentile35.27336
Maximum37.56647
Range2.5072901
Interquartile range (IQR)0.025001608

Descriptive statistics

Standard deviation0.36700991
Coefficient of variation (CV)0.010398426
Kurtosis36.98134
Mean35.294756
Median Absolute Deviation (MAD)0.011999575
Skewness6.149874
Sum2823.5805
Variance0.13469627
MonotonicityNot monotonic
2023-12-11T01:12:49.844467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.56647 2
 
2.5%
35.23643545 2
 
2.5%
35.22770804 2
 
2.5%
35.22666652 2
 
2.5%
35.23214899 1
 
1.2%
35.22748313 1
 
1.2%
35.22897002 1
 
1.2%
35.2425073 1
 
1.2%
35.2480517 1
 
1.2%
35.24679021 1
 
1.2%
Other values (66) 66
82.5%
ValueCountFrequency (%)
35.05917994 1
1.2%
35.21252635 1
1.2%
35.21281696 1
1.2%
35.21455003 1
1.2%
35.21615263 1
1.2%
35.21751064 1
1.2%
35.21793609 1
1.2%
35.2180412 1
1.2%
35.2182172 1
1.2%
35.2188743 1
1.2%
ValueCountFrequency (%)
37.56647 2
2.5%
35.27457408 1
1.2%
35.27368211 1
1.2%
35.27334263 1
1.2%
35.27226028 1
1.2%
35.27182032 1
1.2%
35.27132098 1
1.2%
35.27128854 1
1.2%
35.26872157 1
1.2%
35.26851434 1
1.2%

경도
Real number (ℝ)

Distinct76
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.04257
Minimum126.97796
Maximum129.44935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T01:12:50.083548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97796
5-th percentile129.08045
Q1129.08649
median129.09014
Q3129.09345
95-th percentile129.1078
Maximum129.44935
Range2.4713879
Interquartile range (IQR)0.006960225

Descriptive statistics

Standard deviation0.33519367
Coefficient of variation (CV)0.0025975434
Kurtosis36.227883
Mean129.04257
Median Absolute Deviation (MAD)0.0035005
Skewness-6.0412189
Sum10323.406
Variance0.1123548
MonotonicityNot monotonic
2023-12-11T01:12:50.285500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.977963 2
 
2.5%
129.0901415 2
 
2.5%
129.0867837 2
 
2.5%
129.0960141 2
 
2.5%
129.0902896 1
 
1.2%
129.091329 1
 
1.2%
129.0930234 1
 
1.2%
129.0839248 1
 
1.2%
129.0872381 1
 
1.2%
129.0847301 1
 
1.2%
Other values (66) 66
82.5%
ValueCountFrequency (%)
126.977963 2
2.5%
129.0547727 1
1.2%
129.0784544 1
1.2%
129.0805503 1
1.2%
129.0813563 1
1.2%
129.0817171 1
1.2%
129.0818986 1
1.2%
129.0828029 1
1.2%
129.0833542 1
1.2%
129.0839248 1
1.2%
ValueCountFrequency (%)
129.4493509 1
1.2%
129.118411 1
1.2%
129.1104313 1
1.2%
129.1090615 1
1.2%
129.1077379 1
1.2%
129.1066027 1
1.2%
129.1049204 1
1.2%
129.1044274 1
1.2%
129.1043159 1
1.2%
129.101942 1
1.2%

통학차량운영
Boolean

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size212.0 B
True
61 
False
19 
ValueCountFrequency (%)
True 61
76.2%
False 19
 
23.8%
2023-12-11T01:12:50.461477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인가일
Date

Distinct74
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum1975-04-30 00:00:00
Maximum2021-12-01 00:00:00
2023-12-11T01:12:50.635282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:12:50.839900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

어린이집특성
Categorical

IMBALANCE 

Distinct7
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
일반
60 
야간연장
11 
일반,시간제보육
 
3
영아전담
 
2
야간연장,시간제보육
 
2
Other values (2)
 
2

Length

Max length10
Median length2
Mean length2.8125
Min length2

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
일반 60
75.0%
야간연장 11
 
13.8%
일반,시간제보육 3
 
3.8%
영아전담 2
 
2.5%
야간연장,시간제보육 2
 
2.5%
24시간 1
 
1.2%
장애아전문 1
 
1.2%

Length

2023-12-11T01:12:51.503250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:12:51.809052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 60
75.0%
야간연장 11
 
13.8%
일반,시간제보육 3
 
3.8%
영아전담 2
 
2.5%
야간연장,시간제보육 2
 
2.5%
24시간 1
 
1.2%
장애아전문 1
 
1.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2022-05-06 00:00:00
Maximum2022-05-06 00:00:00
2023-12-11T01:12:52.048733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:12:52.289418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

시도명시군구명어린이집코드어린이집명어린이집유형운영현황우편번호상세주소어린이집전화번호어린이집팩스번호홈페이지주소보육실수보육실면적놀이터수CCTV설치보육교직원수정원수현원수위도경도통학차량운영인가일어린이집특성데이터기준일자
0부산광역시금정구26410000174BNK금정어린이집직장Y46283부산광역시 금정구 금강로 324 (장전동)051-513-2561051-513-2562www.puruni.com/busanbank34242.021114633937.56647126.977963N2015-08-21일반2022-05-06
1부산광역시금정구26410000001공립구서어린이집국공립Y46232부산광역시 금정구 금강로 503 롯데캐슬골드 2단지내 (구서동)051-518-1437051-517-2552<NA>5319.01132214111935.251368129.086456N1982-10-04일반2022-05-06
2부산광역시금정구26410000054공립부곡복지어린이집국공립Y46304부산광역시 금정구 동현로 67 2차상가동내(부곡동, 부곡시영아파트)051-515-2066051-516-1963<NA>5308.027161187335.221963129.096735Y1993-02-17일반2022-05-06
3부산광역시금정구26410000183구서SK뷰해야어린이집국공립Y46245부산광역시 금정구 금샘로246번길 18 구서동, 구서SK뷰1단지아파트051-583-4110<NA><NA>4115.00514433135.245219129.085864Y2020-12-01일반2022-05-06
4부산광역시금정구26410000179구서롯데어린이집민간Y46233부산광역시 금정구 금강로 502 관리동(구서동,롯데캐슬골드1단지)051-912-5158051-936-5158<NA>7291.01915917835.250774129.089527Y2018-04-06일반2022-05-06
5부산광역시금정구26410000092그림동산어린이집민간Y46219부산광역시 금정구 팔송로7번길 8051-581-0187051-583-5159<NA>16359.0324151004935.27182129.091363Y2003-02-07일반2022-05-06
6부산광역시금정구26410000082금샘어린이집민간Y46221부산광역시 금정구 팔송로59번길 14 (남산동)051-582-4846051-582-5838http://cafe.naver.com/geumsaem484615332.021251001235.271289129.08585Y1989-03-02야간연장2022-05-06
7부산광역시금정구26410000017금성 어린이집국공립Y46237부산광역시 금정구 산성로 435 (금성동)051-517-5604051-518-5604<NA>5206.017581935.251325129.054773Y1975-04-3024시간2022-05-06
8부산광역시금정구26410000050금정구청어린이집직장Y46274부산광역시 금정구 중앙대로 1777 금정구청내 금정구청어린이집051-519-4327051-519-4329<NA>5346.02816595335.242054129.092456N2004-05-10일반2022-05-06
9부산광역시금정구26410000123금정산 SK 어린이집가정Y46296부산광역시 금정구 식물원로 64 108동 102호051-517-5932051-517-5932네이버카페 금정산sk어린이집350.0045191335.226747129.08055N1998-07-14일반2022-05-06
시도명시군구명어린이집코드어린이집명어린이집유형운영현황우편번호상세주소어린이집전화번호어린이집팩스번호홈페이지주소보육실수보육실면적놀이터수CCTV설치보육교직원수정원수현원수위도경도통학차량운영인가일어린이집특성데이터기준일자
70부산광역시금정구26410000064푸른하늘어린이집가정Y46246부산광역시 금정구 금강로379번길 50 104동 104호 (장전동, 금정산 쌍용예가아파트)051-517-9007051-517-9007<NA>368.0046191535.243081129.085216N1998-01-15일반2022-05-06
71부산광역시금정구26410000056하늘빛 어린이집민간Y46285부산광역시 금정구 부산대학로50번길 80 (장전동)051-514-5950051-514-5950<NA>5153.0058491935.234855129.087025Y2004-02-03일반2022-05-06
72부산광역시금정구26410000110하늘샘어린이집민간Y46221부산광역시 금정구 팔송로39번길 16-1051-518-5070051-518-5070https://blog.naver.com/gksmftoa50807133.0087462035.271321129.087959Y1995-05-13야간연장2022-05-06
73부산광역시금정구26410000083한별어린이집민간Y46266부산광역시 금정구 기찰로 57-1051-513-0792051-513-0792<NA>6129.00510463635.236067129.093065Y2004-07-19일반2022-05-06
74부산광역시금정구26410000139한신어린이집가정Y46277부산광역시 금정구 중앙대로1685번길 22 110동 101호(부곡동, 경남한신)051-581-08000504-445-0734<NA>385.004316935.236435129.090141N2008-03-24일반2022-05-06
75부산광역시금정구26410000055해맑은어린이집민간Y46215부산광역시 금정구 금단로 113-13 부산시 금정구 금단로 113-13 해맑은어린이집051-516-7130051-923-7132https://blog.naver.com/sunnykids71308255.011021787435.259959129.0922Y2002-02-21일반2022-05-06
76부산광역시금정구26410000004해무리어린이집사회복지법인Y46315부산광역시 금정구 서곡로34번길 59 (서동)051-524-0633051-524-0634<NA>7235.00108482235.219155129.106603Y2005-03-17일반2022-05-06
77부산광역시금정구26410000133해수어린이집가정Y46296부산광역시 금정구 식물원로 64 장전동 금정산 SK뷰 110동103호051-514-9645<NA><NA>350.0046191235.231236129.086498Y1990-09-18일반2022-05-06
78부산광역시금정구26410000185행복한그림동산어린이집국공립Y46316부산광역시 금정구 금사로29번길 57051-522-4071051-532-1030<NA>10257.021617926935.05918129.449351Y2021-03-01야간연장,시간제보육2022-05-06
79부산광역시금정구26410000071혜인어린이집민간Y46290부산광역시 금정구 장전온천천로 87-2051-583-1883051-583-1883cafe.daum.net//heainkids497.016526635.232897129.088818Y1999-03-12일반2022-05-06