Overview

Dataset statistics

Number of variables11
Number of observations61
Missing cells61
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory92.2 B

Variable types

Categorical3
Text3
Boolean3
Unsupported1
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,학교안전공제회 대상여부,학교안전공제회 가입여부,교육시설재난공제회 대상여부,교육시설재난공제회 가입여부,공시차수,주소
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-20844/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
학교안전공제회 대상여부 has constant value ""Constant
공시차수 is highly overall correlated with 학교안전공제회 가입여부 and 1 other fieldsHigh correlation
학교안전공제회 가입여부 is highly overall correlated with 공시차수High correlation
교육시설재난공제회 대상여부 is highly overall correlated with 공시차수High correlation
학교안전공제회 가입여부 is highly imbalanced (87.9%)Imbalance
교육시설재난공제회 가입여부 has 61 (100.0%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
교육시설재난공제회 가입여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 19:20:49.707054
Analysis finished2024-03-13 19:20:50.259200
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
서울특별시교육청
61 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 61
100.0%

Length

2024-03-14T04:20:50.307531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:20:50.375720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 61
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
강서양천교육지원청
61 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강서양천교육지원청 61
100.0%

Length

2024-03-14T04:20:50.456058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:20:50.546307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 61
100.0%

유치원코드
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-14T04:20:50.717259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2196
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row1ecec08c-fbfb-b044-e053-0a32095ab044
2nd row1ecec08c-fcd8-b044-e053-0a32095ab044
3rd row1ecec08c-ed82-b044-e053-0a32095ab044
4th rowfe178e0b-2595-4d65-863b-0d8924203e02
5th row1ecec08c-eec7-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-fbfb-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-03f7-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-05b7-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-05b9-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-08ba-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-08bd-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0993-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-09f0-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0b2b-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0c02-b044-e053-0a32095ab044 1
 
1.6%
Other values (51) 51
83.6%
2024-03-14T04:20:50.992097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1226
55.8%
Lowercase Letter 726
33.1%
Dash Punctuation 244
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 325
26.5%
4 218
17.8%
5 138
11.3%
3 131
10.7%
8 88
 
7.2%
9 87
 
7.1%
1 81
 
6.6%
2 78
 
6.4%
7 44
 
3.6%
6 36
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
f 63
 
8.7%
d 63
 
8.7%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1470
66.9%
Latin 726
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 325
22.1%
- 244
16.6%
4 218
14.8%
5 138
9.4%
3 131
8.9%
8 88
 
6.0%
9 87
 
5.9%
1 81
 
5.5%
2 78
 
5.3%
7 44
 
3.0%
Latin
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
f 63
 
8.7%
d 63
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

유치원명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-14T04:20:51.175190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.4098361
Min length5

Characters and Unicode

Total characters452
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row예지유치원
2nd row수미유치원
3rd row서울공항초등학교병설유치원
4th row서울등명초등학교병설유치원
5th row화곡유치원
ValueCountFrequency (%)
예지유치원 1
 
1.6%
아이파크예원유치원 1
 
1.6%
국제유치원 1
 
1.6%
등촌제일유치원 1
 
1.6%
장미유치원 1
 
1.6%
홍신유치원 1
 
1.6%
아람유치원 1
 
1.6%
서울화일초등학교병설유치원 1
 
1.6%
윤서유치원 1
 
1.6%
미도유치원 1
 
1.6%
Other values (51) 51
83.6%
2024-03-14T04:20:51.450343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
교 15
 
3.3%
병 15
 
3.3%
초 15
 
3.3%
Other values (73) 147
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 452
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
교 15
 
3.3%
병 15
 
3.3%
초 15
 
3.3%
Other values (73) 147
32.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
교 15
 
3.3%
병 15
 
3.3%
초 15
 
3.3%
Other values (73) 147
32.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
교 15
 
3.3%
병 15
 
3.3%
초 15
 
3.3%
Other values (73) 147
32.5%

설립유형
Categorical

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
사립(사인)
39 
공립(병설)
15 
사립(법인)
4 
공립(단설)
 
3

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사립(사인)
2nd row사립(사인)
3rd row공립(병설)
4th row공립(병설)
5th row사립(법인)

Common Values

ValueCountFrequency (%)
사립(사인) 39
63.9%
공립(병설) 15
 
24.6%
사립(법인) 4
 
6.6%
공립(단설) 3
 
4.9%

Length

2024-03-14T04:20:51.551163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:20:51.630609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 39
63.9%
공립(병설 15
 
24.6%
사립(법인 4
 
6.6%
공립(단설 3
 
4.9%

학교안전공제회 대상여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size193.0 B
True
61 
ValueCountFrequency (%)
True 61
100.0%
2024-03-14T04:20:51.712212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

학교안전공제회 가입여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size193.0 B
True
60 
False
 
1
ValueCountFrequency (%)
True 60
98.4%
False 1
 
1.6%
2024-03-14T04:20:51.772005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육시설재난공제회 대상여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size193.0 B
True
39 
False
22 
ValueCountFrequency (%)
True 39
63.9%
False 22
36.1%
2024-03-14T04:20:51.842562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교육시설재난공제회 가입여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

공시차수
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20226.361
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-14T04:20:51.922598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20191
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.71378
Coefficient of variation (CV)0.0006780152
Kurtosis4.2220024
Mean20226.361
Median Absolute Deviation (MAD)0
Skewness-2.3704251
Sum1233808
Variance188.06776
MonotonicityNot monotonic
2024-03-14T04:20:52.031120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20232 49
80.3%
20222 3
 
4.9%
20182 2
 
3.3%
20191 2
 
3.3%
20192 2
 
3.3%
20201 1
 
1.6%
20212 1
 
1.6%
20231 1
 
1.6%
ValueCountFrequency (%)
20182 2
 
3.3%
20191 2
 
3.3%
20192 2
 
3.3%
20201 1
 
1.6%
20212 1
 
1.6%
20222 3
 
4.9%
20231 1
 
1.6%
20232 49
80.3%
ValueCountFrequency (%)
20232 49
80.3%
20231 1
 
1.6%
20222 3
 
4.9%
20212 1
 
1.6%
20201 1
 
1.6%
20192 2
 
3.3%
20191 2
 
3.3%
20182 2
 
3.3%

주소
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-14T04:20:52.250415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.885246
Min length15

Characters and Unicode

Total characters1152
Distinct characters58
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)93.4%

Sample

1st row서울특별시 강서구 남부순환로11가길 89
2nd row서울특별시 강서구 강서로17길 130
3rd row서울특별시 강서구 마곡서1로 68
4th row서울특별시 강서구 강서로56나길 34
5th row서울특별시 강서구 까치산로 60
ValueCountFrequency (%)
서울특별시 61
25.0%
강서구 61
25.0%
허준로 9
 
3.7%
금낭화로 3
 
1.2%
39 3
 
1.2%
강서로 3
 
1.2%
마곡서1로 2
 
0.8%
4 2
 
0.8%
100 2
 
0.8%
63 2
 
0.8%
Other values (88) 96
39.3%
2024-03-14T04:20:52.585423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
15.9%
서 135
 
11.7%
강 71
 
6.2%
울 61
 
5.3%
특 61
 
5.3%
별 61
 
5.3%
시 61
 
5.3%
구 61
 
5.3%
로 61
 
5.3%
1 43
 
3.7%
Other values (48) 354
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 744
64.6%
Decimal Number 219
 
19.0%
Space Separator 183
 
15.9%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
울 61
8.2%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Decimal Number
ValueCountFrequency (%)
1 43
19.6%
3 35
16.0%
6 26
11.9%
4 22
10.0%
2 21
9.6%
7 16
 
7.3%
0 15
 
6.8%
8 14
 
6.4%
5 14
 
6.4%
9 13
 
5.9%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 744
64.6%
Common 408
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
울 61
8.2%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Common
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
8 14
 
3.4%
5 14
 
3.4%
Other values (2) 19
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 744
64.6%
ASCII 408
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
8 14
 
3.4%
5 14
 
3.4%
Other values (2) 19
 
4.7%
Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
울 61
8.2%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%

Interactions

2024-03-14T04:20:49.996640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T04:20:52.666042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형학교안전공제회 가입여부교육시설재난공제회 대상여부공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0000.0000.6370.0000.000
학교안전공제회 가입여부1.0001.0000.0001.0000.0001.0001.000
교육시설재난공제회 대상여부1.0001.0000.6370.0001.0000.4190.000
공시차수1.0001.0000.0001.0000.4191.0000.000
주소1.0001.0000.0001.0000.0000.0001.000
2024-03-14T04:20:52.749414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교육시설재난공제회 대상여부학교안전공제회 가입여부
설립유형1.0000.4350.000
교육시설재난공제회 대상여부0.4351.0000.000
학교안전공제회 가입여부0.0000.0001.000
2024-03-14T04:20:52.817407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형학교안전공제회 가입여부교육시설재난공제회 대상여부
공시차수1.0000.0000.9660.522
설립유형0.0001.0000.0000.435
학교안전공제회 가입여부0.9660.0001.0000.000
교육시설재난공제회 대상여부0.5220.4350.0001.000

Missing values

2024-03-14T04:20:50.082393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T04:20:50.212997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

교육청명교육지원청명유치원코드유치원명설립유형학교안전공제회 대상여부학교안전공제회 가입여부교육시설재난공제회 대상여부교육시설재난공제회 가입여부공시차수주소
0서울특별시교육청강서양천교육지원청1ecec08c-fbfb-b044-e053-0a32095ab044예지유치원사립(사인)YYN<NA>20182서울특별시 강서구 남부순환로11가길 89
1서울특별시교육청강서양천교육지원청1ecec08c-fcd8-b044-e053-0a32095ab044수미유치원사립(사인)YYN<NA>20182서울특별시 강서구 강서로17길 130
2서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)YYY<NA>20232서울특별시 강서구 마곡서1로 68
3서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)YYY<NA>20232서울특별시 강서구 강서로56나길 34
4서울특별시교육청강서양천교육지원청1ecec08c-eec7-b044-e053-0a32095ab044화곡유치원사립(법인)YYN<NA>20232서울특별시 강서구 까치산로 60
5서울특별시교육청강서양천교육지원청1ecec08c-ef9c-b044-e053-0a32095ab044선미유치원사립(법인)YYY<NA>20232서울특별시 강서구 까치산로2길 43
6서울특별시교육청강서양천교육지원청1ecec08c-f199-b044-e053-0a32095ab044서울공진초등학교병설유치원공립(병설)YYY<NA>20232서울특별시 강서구 마곡서로 33
7서울특별시교육청강서양천교육지원청1ecec08c-f1fa-b044-e053-0a32095ab044보라유치원사립(사인)YYY<NA>20232서울특별시 강서구 공항대로39길 100
8서울특별시교육청강서양천교육지원청1ecec08c-f33b-b044-e053-0a32095ab044신세기유치원사립(사인)YYY<NA>20232서울특별시 강서구 허준로 47
9서울특별시교육청강서양천교육지원청1ecec08c-f3d7-b044-e053-0a32095ab044서울정곡초등학교병설유치원공립(병설)YYY<NA>20232서울특별시 강서구 방화대로50길 22
교육청명교육지원청명유치원코드유치원명설립유형학교안전공제회 대상여부학교안전공제회 가입여부교육시설재난공제회 대상여부교육시설재난공제회 가입여부공시차수주소
51서울특별시교육청강서양천교육지원청8114e0a3-e56e-47e5-a5d6-c2eef91cbed7서울탑산초등학교병설유치원공립(병설)YYY<NA>20232서울특별시 강서구 허준로 109
52서울특별시교육청강서양천교육지원청1ecec08c-f44b-b044-e053-0a32095ab044문성유치원사립(사인)YYN<NA>20192서울특별시 강서구 우현로 8
53서울특별시교육청강서양천교육지원청8fe5f3aa-d57f-4d30-bf63-09e1b5ab5633서울신월초등학교병설유치원공립(병설)YYY<NA>20232서울특별시 강서구 강서로31길 48
54서울특별시교육청강서양천교육지원청cd859395-2ba1-4f95-a3db-7c7a75b2d320서울송정초등학교병설유치원공립(병설)YYY<NA>20232서울특별시 강서구 공항대로3길 18
55서울특별시교육청강서양천교육지원청d0fe68a4-a1df-44ce-9072-87f9da3c301a서울개화초등학교병설유치원공립(병설)YYY<NA>20232서울특별시 강서구 양천로 11
56서울특별시교육청강서양천교육지원청da318554-85fa-494c-9ab9-60fd25bb0ce2이솔유치원사립(사인)YYY<NA>20232서울특별시 강서구 곰달래로33가길 6
57서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)YYY<NA>20232서울특별시 강서구 허준로 186
58서울특별시교육청강서양천교육지원청1ecec08c-eec6-b044-e053-0a32095ab044한나유치원사립(사인)YYY<NA>20232서울특별시 강서구 금낭화로 287-19
59서울특별시교육청강서양천교육지원청1ecec08c-fc58-b044-e053-0a32095ab044예은유치원사립(사인)YYN<NA>20192서울특별시 강서구 까치산로4길 101-5
60서울특별시교육청강서양천교육지원청1ecec08d-06b7-b044-e053-0a32095ab044미래클유치원사립(사인)YYN<NA>20191서울특별시 강서구 수명로1길 76