Overview

Dataset statistics

Number of variables8
Number of observations217
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.9 KiB
Average record size in memory65.6 B

Variable types

Numeric1
Categorical2
Text4
DateTime1

Dataset

Description서울특별시 양천구 보육시설현황 데이터입니다. 양천구 내 보육시설, 어린이집 데이터를 제공합니다. 시설 구분, 시설명, 소재지주소, 전화번호 등의 정보를 포함합니다.
URLhttps://www.data.go.kr/data/15119365/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
시설명 has unique valuesUnique
시설전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:10:14.784424
Analysis finished2023-12-12 02:10:15.611565
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct217
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109
Minimum1
Maximum217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T11:10:15.726566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.8
Q155
median109
Q3163
95-th percentile206.2
Maximum217
Range216
Interquartile range (IQR)108

Descriptive statistics

Standard deviation62.786676
Coefficient of variation (CV)0.57602455
Kurtosis-1.2
Mean109
Median Absolute Deviation (MAD)54
Skewness0
Sum23653
Variance3942.1667
MonotonicityStrictly increasing
2023-12-12T11:10:15.902946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
150 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
145 1
 
0.5%
146 1
 
0.5%
Other values (207) 207
95.4%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
217 1
0.5%
216 1
0.5%
215 1
0.5%
214 1
0.5%
213 1
0.5%
212 1
0.5%
211 1
0.5%
210 1
0.5%
209 1
0.5%
208 1
0.5%

구분
Categorical

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
가정
88 
국공립
85 
민간
34 
직장
법인·단체등
 
1

Length

Max length6
Median length2
Mean length2.4101382
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
가정 88
40.6%
국공립 85
39.2%
민간 34
 
15.7%
직장 9
 
4.1%
법인·단체등 1
 
0.5%

Length

2023-12-12T11:10:16.086113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:10:16.231014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 88
40.6%
국공립 85
39.2%
민간 34
 
15.7%
직장 9
 
4.1%
법인·단체등 1
 
0.5%

시설명
Text

UNIQUE 

Distinct217
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T11:10:16.461837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.4009217
Min length6

Characters and Unicode

Total characters1823
Distinct characters228
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)100.0%

Sample

1st rowEQ어린이집
2nd rowKTi행복한어린이집
3rd rowL캐슬어린이집
4th rowSBS어린이집
5th row가람어린이집
ValueCountFrequency (%)
구립 85
27.4%
어린이집 4
 
1.3%
직장어린이집 3
 
1.0%
아가꿈어린이집 1
 
0.3%
세진어린이집 1
 
0.3%
세천사어린이집 1
 
0.3%
세화어린이집 1
 
0.3%
솔샘어린이집 1
 
0.3%
송이어린이집 1
 
0.3%
시영어린이집 1
 
0.3%
Other values (211) 211
68.1%
2023-12-12T11:10:16.928333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
13.2%
219
 
12.0%
217
 
11.9%
217
 
11.9%
93
 
5.1%
86
 
4.7%
85
 
4.7%
27
 
1.5%
22
 
1.2%
16
 
0.9%
Other values (218) 600
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1708
93.7%
Space Separator 93
 
5.1%
Uppercase Letter 11
 
0.6%
Decimal Number 9
 
0.5%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
241
14.1%
219
 
12.8%
217
 
12.7%
217
 
12.7%
86
 
5.0%
85
 
5.0%
27
 
1.6%
22
 
1.3%
16
 
0.9%
14
 
0.8%
Other values (204) 564
33.0%
Uppercase Letter
ValueCountFrequency (%)
S 4
36.4%
E 1
 
9.1%
O 1
 
9.1%
T 1
 
9.1%
K 1
 
9.1%
B 1
 
9.1%
L 1
 
9.1%
Q 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
3 5
55.6%
2 2
 
22.2%
4 1
 
11.1%
5 1
 
11.1%
Space Separator
ValueCountFrequency (%)
93
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1708
93.7%
Common 102
 
5.6%
Latin 13
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
241
14.1%
219
 
12.8%
217
 
12.7%
217
 
12.7%
86
 
5.0%
85
 
5.0%
27
 
1.6%
22
 
1.3%
16
 
0.9%
14
 
0.8%
Other values (204) 564
33.0%
Latin
ValueCountFrequency (%)
S 4
30.8%
i 2
15.4%
E 1
 
7.7%
O 1
 
7.7%
T 1
 
7.7%
K 1
 
7.7%
B 1
 
7.7%
L 1
 
7.7%
Q 1
 
7.7%
Common
ValueCountFrequency (%)
93
91.2%
3 5
 
4.9%
2 2
 
2.0%
4 1
 
1.0%
5 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1708
93.7%
ASCII 115
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
241
14.1%
219
 
12.8%
217
 
12.7%
217
 
12.7%
86
 
5.0%
85
 
5.0%
27
 
1.6%
22
 
1.3%
16
 
0.9%
14
 
0.8%
Other values (204) 564
33.0%
ASCII
ValueCountFrequency (%)
93
80.9%
3 5
 
4.3%
S 4
 
3.5%
i 2
 
1.7%
2 2
 
1.7%
E 1
 
0.9%
O 1
 
0.9%
4 1
 
0.9%
5 1
 
0.9%
T 1
 
0.9%
Other values (4) 4
 
3.5%

행정동
Categorical

Distinct18
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
신정3동
30 
신정4동
16 
신월2동
15 
신정7동
15 
목5동
15 
Other values (13)
126 

Length

Max length4
Median length4
Mean length3.7419355
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신월7동
2nd row목1동
3rd row목3동
4th row신정4동
5th row신정7동

Common Values

ValueCountFrequency (%)
신정3동 30
13.8%
신정4동 16
 
7.4%
신월2동 15
 
6.9%
신정7동 15
 
6.9%
목5동 15
 
6.9%
목2동 12
 
5.5%
목3동 11
 
5.1%
신월3동 10
 
4.6%
신월1동 10
 
4.6%
신월5동 10
 
4.6%
Other values (8) 73
33.6%

Length

2023-12-12T11:10:17.385829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신정3동 30
13.8%
신정4동 16
 
7.4%
신월2동 15
 
6.9%
신정7동 15
 
6.9%
목5동 15
 
6.9%
목2동 12
 
5.5%
목3동 11
 
5.1%
신월4동 10
 
4.6%
신월7동 10
 
4.6%
신정6동 10
 
4.6%
Other values (8) 73
33.6%
Distinct216
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T11:10:17.659074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length32.672811
Min length16

Characters and Unicode

Total characters7090
Distinct characters186
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

Unique215 ?
Unique (%)99.1%

Sample

1st row서울특별시 양천구 신월로 99 7동 101호(신월동, 신월시영아파트)
2nd row서울특별시 양천구 오목로52길 12 1층
3rd row서울특별시 양천구 목동중앙북로 38 목동롯데캐슬위너지원센터1층 (목동)
4th row서울특별시 양천구 국회대로 214 1~2층 (신정동)
5th row서울특별시 양천구 목동동로 50 1219동 106호(신정동,목동신시가지아파트)
ValueCountFrequency (%)
서울특별시 217
 
17.0%
양천구 217
 
17.0%
목동동로 19
 
1.5%
신월동 19
 
1.5%
목동 19
 
1.5%
101동 19
 
1.5%
신정동 16
 
1.3%
목동서로 15
 
1.2%
1층 10
 
0.8%
신정로 10
 
0.8%
Other values (435) 718
56.1%
2023-12-12T11:10:18.146790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1062
 
15.0%
1 413
 
5.8%
370
 
5.2%
0 255
 
3.6%
250
 
3.5%
238
 
3.4%
225
 
3.2%
223
 
3.1%
222
 
3.1%
220
 
3.1%
Other values (176) 3612
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4293
60.6%
Decimal Number 1382
 
19.5%
Space Separator 1062
 
15.0%
Close Punctuation 122
 
1.7%
Open Punctuation 122
 
1.7%
Other Punctuation 69
 
1.0%
Dash Punctuation 34
 
0.5%
Uppercase Letter 4
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
370
 
8.6%
250
 
5.8%
238
 
5.5%
225
 
5.2%
223
 
5.2%
222
 
5.2%
220
 
5.1%
218
 
5.1%
217
 
5.1%
217
 
5.1%
Other values (158) 1893
44.1%
Decimal Number
ValueCountFrequency (%)
1 413
29.9%
0 255
18.5%
2 155
 
11.2%
3 128
 
9.3%
4 94
 
6.8%
6 83
 
6.0%
5 81
 
5.9%
7 65
 
4.7%
8 57
 
4.1%
9 51
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
75.0%
E 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1062
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Other Punctuation
ValueCountFrequency (%)
, 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4293
60.6%
Common 2793
39.4%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
370
 
8.6%
250
 
5.8%
238
 
5.5%
225
 
5.2%
223
 
5.2%
222
 
5.2%
220
 
5.1%
218
 
5.1%
217
 
5.1%
217
 
5.1%
Other values (158) 1893
44.1%
Common
ValueCountFrequency (%)
1062
38.0%
1 413
 
14.8%
0 255
 
9.1%
2 155
 
5.5%
3 128
 
4.6%
) 122
 
4.4%
( 122
 
4.4%
4 94
 
3.4%
6 83
 
3.0%
5 81
 
2.9%
Other values (6) 278
 
10.0%
Latin
ValueCountFrequency (%)
A 3
75.0%
E 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4293
60.6%
ASCII 2797
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1062
38.0%
1 413
 
14.8%
0 255
 
9.1%
2 155
 
5.5%
3 128
 
4.6%
) 122
 
4.4%
( 122
 
4.4%
4 94
 
3.4%
6 83
 
3.0%
5 81
 
2.9%
Other values (8) 282
 
10.1%
Hangul
ValueCountFrequency (%)
370
 
8.6%
250
 
5.8%
238
 
5.5%
225
 
5.2%
223
 
5.2%
222
 
5.2%
220
 
5.1%
218
 
5.1%
217
 
5.1%
217
 
5.1%
Other values (158) 1893
44.1%

원장
Text

Distinct214
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T11:10:18.501437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9953917
Min length2

Characters and Unicode

Total characters650
Distinct characters103
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

Unique211 ?
Unique (%)97.2%

Sample

1st row강현숙
2nd row정미영
3rd row김명자
4th row송고은
5th row강영신
ValueCountFrequency (%)
최현미 2
 
0.9%
최영미 2
 
0.9%
김은정 2
 
0.9%
고경옥 1
 
0.5%
이혜경 1
 
0.5%
김진순 1
 
0.5%
최상숙 1
 
0.5%
이행옥 1
 
0.5%
최미선 1
 
0.5%
서영화 1
 
0.5%
Other values (204) 204
94.0%
2023-12-12T11:10:18.956055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
7.1%
37
 
5.7%
32
 
4.9%
31
 
4.8%
28
 
4.3%
28
 
4.3%
25
 
3.8%
22
 
3.4%
19
 
2.9%
18
 
2.8%
Other values (93) 364
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 650
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
46
 
7.1%
37
 
5.7%
32
 
4.9%
31
 
4.8%
28
 
4.3%
28
 
4.3%
25
 
3.8%
22
 
3.4%
19
 
2.9%
18
 
2.8%
Other values (93) 364
56.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 650
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
46
 
7.1%
37
 
5.7%
32
 
4.9%
31
 
4.8%
28
 
4.3%
28
 
4.3%
25
 
3.8%
22
 
3.4%
19
 
2.9%
18
 
2.8%
Other values (93) 364
56.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 650
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
46
 
7.1%
37
 
5.7%
32
 
4.9%
31
 
4.8%
28
 
4.3%
28
 
4.3%
25
 
3.8%
22
 
3.4%
19
 
2.9%
18
 
2.8%
Other values (93) 364
56.0%

시설전화번호
Text

UNIQUE 

Distinct217
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T11:10:19.226501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02765
Min length11

Characters and Unicode

Total characters2610
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

Unique217 ?
Unique (%)100.0%

Sample

1st row02-2603-0314
2nd row02-2643-1840
3rd row02-2644-1061
4th row02-2651-2394
5th row02-2642-7731
ValueCountFrequency (%)
02-2603-0314 1
 
0.5%
02-2648-9225 1
 
0.5%
02-2607-4177 1
 
0.5%
02-2608-0808 1
 
0.5%
02-2693-2088 1
 
0.5%
02-2654-2727 1
 
0.5%
02-2646-2011 1
 
0.5%
02-2649-0003 1
 
0.5%
02-716-5063 1
 
0.5%
02-6489-3003 1
 
0.5%
Other values (207) 207
95.4%
2023-12-12T11:10:19.617623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 535
20.5%
- 434
16.6%
0 422
16.2%
6 322
12.3%
4 158
 
6.1%
9 145
 
5.6%
5 139
 
5.3%
7 136
 
5.2%
3 114
 
4.4%
1 114
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2176
83.4%
Dash Punctuation 434
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 535
24.6%
0 422
19.4%
6 322
14.8%
4 158
 
7.3%
9 145
 
6.7%
5 139
 
6.4%
7 136
 
6.2%
3 114
 
5.2%
1 114
 
5.2%
8 91
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 434
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2610
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 535
20.5%
- 434
16.6%
0 422
16.2%
6 322
12.3%
4 158
 
6.1%
9 145
 
5.6%
5 139
 
5.3%
7 136
 
5.2%
3 114
 
4.4%
1 114
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 535
20.5%
- 434
16.6%
0 422
16.2%
6 322
12.3%
4 158
 
6.1%
9 145
 
5.6%
5 139
 
5.3%
7 136
 
5.2%
3 114
 
4.4%
1 114
 
4.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2023-08-21 00:00:00
Maximum2023-08-21 00:00:00
2023-12-12T11:10:19.734076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:10:19.830045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T11:10:15.275077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:10:19.902861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분행정동
연번1.0000.8060.000
구분0.8061.0000.318
행정동0.0000.3181.000
2023-12-12T11:10:19.999496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분행정동
구분1.0000.162
행정동0.1621.000
2023-12-12T11:10:20.089888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분행정동
연번1.0000.4590.000
구분0.4591.0000.162
행정동0.0000.1621.000

Missing values

2023-12-12T11:10:15.388034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:10:15.548675image/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

연번구분시설명행정동소재지주소원장시설전화번호데이터기준일자
01가정EQ어린이집신월7동서울특별시 양천구 신월로 99 7동 101호(신월동, 신월시영아파트)강현숙02-2603-03142023-08-21
12직장KTi행복한어린이집목1동서울특별시 양천구 오목로52길 12 1층정미영02-2643-18402023-08-21
23민간L캐슬어린이집목3동서울특별시 양천구 목동중앙북로 38 목동롯데캐슬위너지원센터1층 (목동)김명자02-2644-10612023-08-21
34직장SBS어린이집신정4동서울특별시 양천구 국회대로 214 1~2층 (신정동)송고은02-2651-23942023-08-21
45가정가람어린이집신정7동서울특별시 양천구 목동동로 50 1219동 106호(신정동,목동신시가지아파트)강영신02-2642-77312023-08-21
56민간고려창의스쿨어린이집신정4동서울특별시 양천구 은행정로7길 24 (신정동)윤재식02-2693-82522023-08-21
67국공립구립 가온어린이집신월6동서울특별시 양천구 남부순환로83길 17 목동센트럴아이파크위브아파트 1단지송은정02-2602-24842023-08-21
78국공립구립 갈산어린이집신정7동서울특별시 양천구 목동남로4길 48-6정지선02-2642-42252023-08-21
89국공립구립 곰달래어린이집신월1동서울특별시 양천구 남부순환로65길 2 (신월동)류선희02-2695-97652023-08-21
910국공립구립 그린나래어린이집신정3동서울특별시 양천구 신정로 170 신정현대아파트 관리동김윤아02-2060-57832023-08-21
연번구분시설명행정동소재지주소원장시설전화번호데이터기준일자
207208가정하늘정원어린이집신정7동서울특별시 양천구 목동동로 50 1204동 104호 (목동신시가지아파트, 신정7동)이순옥02-2652-04522023-08-21
208209가정한가람어린이집신정7동서울특별시 양천구 목동동로 10 1104동 101호(신정동, 신시가지11단지아파트)김재숙02-2651-57772023-08-21
209210민간한사랑어린이집목2동서울특별시 양천구 목동중앙본로22길 63 건영아파트 상가203,204,205호 (목동)김창홍02-2644-24342023-08-21
210211가정해나리어린이집목1동서울특별시 양천구 목동로 212 718동 105호(목동, 목동신시가지7단지아파트)박순금02-2645-07732023-08-21
211212가정해랑어린이집목3동서울특별시 양천구 목동중앙남로14길 6김성희02-2649-60322023-08-21
212213가정햇님어린이집신정2동서울특별시 양천구 목동동로10길 16-6 경남아너스빌 1504동 104호고경옥070-7782-35172023-08-21
213214가정행복한어린이집신정6동서울특별시 양천구 목동서로 280 806동 104호(신정동, 신시가지8단지아파트)황선숙02-2647-52332023-08-21
214215가정현서어린이집신정4동서울특별시 양천구 중앙로54길 31 1층 (신정동)한영순02-2606-99902023-08-21
215216민간혜원유아학교어린이집신정3동서울특별시 양천구 신정로 260 신트리아파트4단지 보육시설 (신정동)박지연02-2065-80112023-08-21
216217민간홍익어린이집신월7동서울특별시 양천구 지양로9길 5이기만02-2607-45232023-08-21