Overview

Dataset statistics

Number of variables7
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory60.3 B

Variable types

Numeric3
Categorical1
Text3

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=f9660e60-fe2d-11ea-9867-1b12bf08ea04

Alerts

학교주위미세먼지수치 is highly overall correlated with 미세먼지지수 and 1 other fieldsHigh correlation
미세먼지지수 is highly overall correlated with 학교주위미세먼지수치 and 1 other fieldsHigh correlation
학제명 is highly overall correlated with 학교주위미세먼지수치 and 1 other fieldsHigh correlation
학제명 is highly imbalanced (80.6%)Imbalance
학교명 has unique valuesUnique
보육시설상세주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:31:50.680824
Analysis finished2023-12-10 13:31:52.890648
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

보육시설번호
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.27
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:31:53.007622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q123.75
median47.5
Q372.25
95-th percentile92.05
Maximum97
Range96
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation28.166839
Coefficient of variation (CV)0.5835268
Kurtosis-1.2064994
Mean48.27
Median Absolute Deviation (MAD)24.5
Skewness0.036878055
Sum4827
Variance793.37081
MonotonicityIncreasing
2023-12-10T22:31:53.255871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47 2
 
2.0%
10 2
 
2.0%
17 2
 
2.0%
1 1
 
1.0%
64 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 2
2.0%
ValueCountFrequency (%)
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%

학제명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
유치원
97 
어린이집
 
3

Length

Max length4
Median length3
Mean length3.03
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 97
97.0%
어린이집 3
 
3.0%

Length

2023-12-10T22:31:53.473916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:31:53.617195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 97
97.0%
어린이집 3
 
3.0%

학교명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:31:53.921258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.23
Min length4

Characters and Unicode

Total characters823
Distinct characters118
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row린덴바움유치원
2nd row배화여자대학교 부속 배화유치원
3rd row봄샘유치원
4th row상명사대부속유치원
5th row서울명신초등학교병설유치원
ValueCountFrequency (%)
린덴바움유치원 1
 
1.0%
배화유치원 1
 
1.0%
옥수예일유치원 1
 
1.0%
옥수삼성유치원 1
 
1.0%
에덴유치원 1
 
1.0%
아이들세상유치원 1
 
1.0%
송곡유치원 1
 
1.0%
세인유치원 1
 
1.0%
세성유치원 1
 
1.0%
성심유치원 1
 
1.0%
Other values (92) 92
90.2%
2023-12-10T22:31:54.469113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 102
 
12.4%
유 97
 
11.8%
치 97
 
11.8%
학 37
 
4.5%
교 36
 
4.4%
서 36
 
4.4%
울 35
 
4.3%
설 34
 
4.1%
병 33
 
4.0%
등 33
 
4.0%
Other values (108) 283
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 821
99.8%
Space Separator 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 102
 
12.4%
유 97
 
11.8%
치 97
 
11.8%
학 37
 
4.5%
교 36
 
4.4%
서 36
 
4.4%
울 35
 
4.3%
설 34
 
4.1%
병 33
 
4.0%
등 33
 
4.0%
Other values (107) 281
34.2%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 821
99.8%
Common 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 102
 
12.4%
유 97
 
11.8%
치 97
 
11.8%
학 37
 
4.5%
교 36
 
4.4%
서 36
 
4.4%
울 35
 
4.3%
설 34
 
4.1%
병 33
 
4.0%
등 33
 
4.0%
Other values (107) 281
34.2%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 821
99.8%
ASCII 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 102
 
12.4%
유 97
 
11.8%
치 97
 
11.8%
학 37
 
4.5%
교 36
 
4.4%
서 36
 
4.4%
울 35
 
4.3%
설 34
 
4.1%
병 33
 
4.0%
등 33
 
4.0%
Other values (107) 281
34.2%
ASCII
ValueCountFrequency (%)
2
100.0%

보육시설상세주소
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:31:54.831292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length31.86
Min length17

Characters and Unicode

Total characters3186
Distinct characters181
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 통일로12길 51 . 린덴바움유치원 (무악동)
2nd row서울특별시 종로구 필운대로1길 34 (필운동)
3rd row서울특별시 종로구 율곡로 264 (종로6가)
4th row서울특별시 종로구 홍지문2길 1 (홍지동)
5th row서울특별시 종로구 낙산길 250 (창신동. 서울명신초등학교)
ValueCountFrequency (%)
서울특별시 97
 
16.0%
성동구 29
 
4.8%
26
 
4.3%
광진구 24
 
4.0%
종로구 17
 
2.8%
중구 14
 
2.3%
용산구 13
 
2.1%
신당동 6
 
1.0%
자양동 6
 
1.0%
마장동 5
 
0.8%
Other values (298) 370
61.0%
2023-12-10T22:31:55.510859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
513
 
16.1%
동 145
 
4.6%
서 123
 
3.9%
울 116
 
3.6%
로 103
 
3.2%
구 101
 
3.2%
시 100
 
3.1%
특 97
 
3.0%
별 97
 
3.0%
( 96
 
3.0%
Other values (171) 1695
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2044
64.2%
Space Separator 513
 
16.1%
Decimal Number 363
 
11.4%
Open Punctuation 96
 
3.0%
Close Punctuation 96
 
3.0%
Other Punctuation 66
 
2.1%
Dash Punctuation 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 145
 
7.1%
서 123
 
6.0%
울 116
 
5.7%
로 103
 
5.0%
구 101
 
4.9%
시 100
 
4.9%
특 97
 
4.7%
별 97
 
4.7%
길 65
 
3.2%
원 44
 
2.2%
Other values (156) 1053
51.5%
Decimal Number
ValueCountFrequency (%)
1 76
20.9%
2 60
16.5%
4 40
11.0%
3 36
9.9%
0 32
8.8%
6 30
 
8.3%
5 29
 
8.0%
8 22
 
6.1%
9 19
 
5.2%
7 19
 
5.2%
Space Separator
ValueCountFrequency (%)
513
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Other Punctuation
ValueCountFrequency (%)
. 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2044
64.2%
Common 1142
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 145
 
7.1%
서 123
 
6.0%
울 116
 
5.7%
로 103
 
5.0%
구 101
 
4.9%
시 100
 
4.9%
특 97
 
4.7%
별 97
 
4.7%
길 65
 
3.2%
원 44
 
2.2%
Other values (156) 1053
51.5%
Common
ValueCountFrequency (%)
513
44.9%
( 96
 
8.4%
) 96
 
8.4%
1 76
 
6.7%
. 66
 
5.8%
2 60
 
5.3%
4 40
 
3.5%
3 36
 
3.2%
0 32
 
2.8%
6 30
 
2.6%
Other values (5) 97
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2044
64.2%
ASCII 1142
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
513
44.9%
( 96
 
8.4%
) 96
 
8.4%
1 76
 
6.7%
. 66
 
5.8%
2 60
 
5.3%
4 40
 
3.5%
3 36
 
3.2%
0 32
 
2.8%
6 30
 
2.6%
Other values (5) 97
 
8.5%
Hangul
ValueCountFrequency (%)
동 145
 
7.1%
서 123
 
6.0%
울 116
 
5.7%
로 103
 
5.0%
구 101
 
4.9%
시 100
 
4.9%
특 97
 
4.7%
별 97
 
4.7%
길 65
 
3.2%
원 44
 
2.2%
Other values (156) 1053
51.5%

보육시설연락처번호
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:31:55.918415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.44
Min length11

Characters and Unicode

Total characters1144
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

Unique97 ?
Unique (%)97.0%

Sample

1st row02-730-6207
2nd row02-737-1433
3rd row02-764-3210
4th row02-396-1602
5th row02-744-4633
ValueCountFrequency (%)
02-2286-3688 3
 
3.0%
02-2297-0432 1
 
1.0%
02-2293-5657 1
 
1.0%
02-2292-2779 1
 
1.0%
02-2299-8955 1
 
1.0%
02-2295-3551 1
 
1.0%
02-2296-6107 1
 
1.0%
02-2293-0621 1
 
1.0%
02-2245-8985 1
 
1.0%
02-2294-6317 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T22:31:56.537274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 228
19.9%
- 200
17.5%
0 159
13.9%
7 89
 
7.8%
3 77
 
6.7%
4 73
 
6.4%
9 72
 
6.3%
6 69
 
6.0%
5 64
 
5.6%
1 61
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 944
82.5%
Dash Punctuation 200
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 228
24.2%
0 159
16.8%
7 89
 
9.4%
3 77
 
8.2%
4 73
 
7.7%
9 72
 
7.6%
6 69
 
7.3%
5 64
 
6.8%
1 61
 
6.5%
8 52
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1144
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 228
19.9%
- 200
17.5%
0 159
13.9%
7 89
 
7.8%
3 77
 
6.7%
4 73
 
6.4%
9 72
 
6.3%
6 69
 
6.0%
5 64
 
5.6%
1 61
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1144
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 228
19.9%
- 200
17.5%
0 159
13.9%
7 89
 
7.8%
3 77
 
6.7%
4 73
 
6.4%
9 72
 
6.3%
6 69
 
6.0%
5 64
 
5.6%
1 61
 
5.3%

학교주위미세먼지수치
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.190453
Minimum11.847927
Maximum18.927394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:31:56.774390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.847927
5-th percentile11.847927
Q112.344547
median14.14647
Q314.731215
95-th percentile18.927394
Maximum18.927394
Range7.0794673
Interquartile range (IQR)2.3866682

Descriptive statistics

Standard deviation1.9783694
Coefficient of variation (CV)0.13941552
Kurtosis1.2437035
Mean14.190453
Median Absolute Deviation (MAD)0.58474455
Skewness1.1748324
Sum1419.0453
Variance3.9139455
MonotonicityNot monotonic
2023-12-10T22:31:56.963562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
14.146470404984424 26
26.0%
11.847926791277258 17
17.0%
14.731214953271028 17
17.0%
14.243496884735205 14
14.0%
18.927394080996883 11
11.0%
12.344546728971965 9
 
9.0%
12.41098598130841 3
 
3.0%
15.599247663551402 1
 
1.0%
13.833855140186916 1
 
1.0%
14.01438629283489 1
 
1.0%
ValueCountFrequency (%)
11.847926791277258 17
17.0%
12.344546728971965 9
 
9.0%
12.41098598130841 3
 
3.0%
13.833855140186916 1
 
1.0%
14.01438629283489 1
 
1.0%
14.146470404984424 26
26.0%
14.243496884735205 14
14.0%
14.731214953271028 17
17.0%
15.599247663551402 1
 
1.0%
18.927394080996883 11
11.0%
ValueCountFrequency (%)
18.927394080996883 11
11.0%
15.599247663551402 1
 
1.0%
14.731214953271028 17
17.0%
14.243496884735205 14
14.0%
14.146470404984424 26
26.0%
14.01438629283489 1
 
1.0%
13.833855140186916 1
 
1.0%
12.41098598130841 3
 
3.0%
12.344546728971965 9
 
9.0%
11.847926791277258 17
17.0%

미세먼지지수
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.87276525
Minimum0.72869124
Maximum1.1641046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:31:57.152914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.72869124
5-th percentile0.72869124
Q10.7592352
median0.87006016
Q30.90602411
95-th percentile1.1641046
Maximum1.1641046
Range0.43541337
Interquartile range (IQR)0.14678891

Descriptive statistics

Standard deviation0.12167702
Coefficient of variation (CV)0.13941552
Kurtosis1.2437035
Mean0.87276525
Median Absolute Deviation (MAD)0.035963949
Skewness1.1748324
Sum87.276525
Variance0.014805298
MonotonicityNot monotonic
2023-12-10T22:31:57.329769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.8700601569950382 26
26.0%
0.728691238802034 17
17.0%
0.906024105522084 17
17.0%
0.8760276437099501 14
14.0%
1.164104613672165 11
11.0%
0.7592351984320825 9
 
9.0%
0.7633214577366024 3
 
3.0%
0.9594113218779932 1
 
1.0%
0.8508331640715646 1
 
1.0%
0.8619364964589882 1
 
1.0%
ValueCountFrequency (%)
0.728691238802034 17
17.0%
0.7592351984320825 9
 
9.0%
0.7633214577366024 3
 
3.0%
0.8508331640715646 1
 
1.0%
0.8619364964589882 1
 
1.0%
0.8700601569950382 26
26.0%
0.8760276437099501 14
14.0%
0.906024105522084 17
17.0%
0.9594113218779932 1
 
1.0%
1.164104613672165 11
11.0%
ValueCountFrequency (%)
1.164104613672165 11
11.0%
0.9594113218779932 1
 
1.0%
0.906024105522084 17
17.0%
0.8760276437099501 14
14.0%
0.8700601569950382 26
26.0%
0.8619364964589882 1
 
1.0%
0.8508331640715646 1
 
1.0%
0.7633214577366024 3
 
3.0%
0.7592351984320825 9
 
9.0%
0.728691238802034 17
17.0%

Interactions

2023-12-10T22:31:52.181926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:31:51.295713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:31:51.761465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:31:52.319109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:31:51.434645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:31:51.891657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:31:52.454481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:31:51.629011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:31:52.043684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:31:57.454036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보육시설번호학제명학교명보육시설상세주소보육시설연락처번호학교주위미세먼지수치미세먼지지수
보육시설번호1.0000.0001.0001.0000.8700.6390.639
학제명0.0001.0001.0001.0001.0000.9520.952
학교명1.0001.0001.0001.0001.0001.0001.000
보육시설상세주소1.0001.0001.0001.0001.0001.0001.000
보육시설연락처번호0.8701.0001.0001.0001.0001.0001.000
학교주위미세먼지수치0.6390.9521.0001.0001.0001.0001.000
미세먼지지수0.6390.9521.0001.0001.0001.0001.000
2023-12-10T22:31:57.608914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보육시설번호학교주위미세먼지수치미세먼지지수학제명
보육시설번호1.0000.4950.4950.000
학교주위미세먼지수치0.4951.0001.0000.788
미세먼지지수0.4951.0001.0000.788
학제명0.0000.7880.7881.000

Missing values

2023-12-10T22:31:52.626058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:31:52.816763image/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

보육시설번호학제명학교명보육시설상세주소보육시설연락처번호학교주위미세먼지수치미세먼지지수
01유치원린덴바움유치원서울특별시 종로구 통일로12길 51 . 린덴바움유치원 (무악동)02-730-620711.8479270.728691
12유치원배화여자대학교 부속 배화유치원서울특별시 종로구 필운대로1길 34 (필운동)02-737-143311.8479270.728691
23유치원봄샘유치원서울특별시 종로구 율곡로 264 (종로6가)02-764-321014.146470.87006
34유치원상명사대부속유치원서울특별시 종로구 홍지문2길 1 (홍지동)02-396-160212.4109860.763321
45유치원서울명신초등학교병설유치원서울특별시 종로구 낙산길 250 (창신동. 서울명신초등학교)02-744-463314.146470.87006
56유치원서울재동초등학교병설유치원서울특별시 종로구 북촌로4길 7 (가회동.서울재동초등학교)02-764-283011.8479270.728691
67유치원서울창신초등학교병설유치원서울특별시 종로구 지봉로 73 서울창신초등학교병설유치원(창신동. 창신초등학교)02-763-881214.146470.87006
78유치원서울청운초등학교병설유치원서울특별시 종로구 자하문로 105 (청운동) 병설유치원02-739-694011.8479270.728691
89유치원서울혜화초등학교병설유치원서울특별시 종로구 혜화로 32 (혜화동. 혜화초등학교)02-763-012411.8479270.728691
910유치원세검정유치원서울특별시 종로구 자하문로 310 (홍지동)02-395-254412.4109860.763321
보육시설번호학제명학교명보육시설상세주소보육시설연락처번호학교주위미세먼지수치미세먼지지수
9088유치원서울자양초등학교병설유치원서울특별시 광진구 아차산로44길 26 (자양동.서울자양초등학교)02-455-805114.7312150.906024
9189유치원서울중광초등학교병설유치원서울특별시 광진구 긴고랑로13길 59 (중곡동)02-466-969114.2434970.876028
9290유치원선경유치원서울특별시 광진구 뚝섬로66길 14 선경유치원 (자양동)02-447-085214.7312150.906024
9391유치원선미유치원서울특별시 광진구 면목로5길 54 (군자동. 선미유치원)02-2286-368814.2434970.876028
9492유치원선양유치원서울특별시 광진구 동일로 256 (군자동)02-466-619314.2434970.876028
9593유치원선화유치원서울특별시 광진구 천호대로130길 58 (능동)02-2204-105114.2434970.876028
9694유치원성산유치원서울특별시 광진구 뚝섬로59길 18 (자양동)02-455-058114.7312150.906024
9795유치원슬기유치원서울특별시 광진구 자양로 296 (구의동)02-446-058114.2434970.876028
9896유치원아이조아유치원서울특별시 광진구 긴고랑로7길 65 . 아이조아유치원 (중곡동. 아이조아어린이집)02-498-990314.2434970.876028
9997유치원어린이회관유치원서울특별시 광진구 광나루로 441 . 어린이회관 (능동)02-2204-600114.7312150.906024