Overview

Dataset statistics

Number of variables15
Number of observations10000
Missing cells24332
Missing cells (%)16.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory133.0 B

Variable types

Text5
Categorical3
Numeric5
Boolean1
DateTime1

Alerts

시도명 has constant value ""Constant
정원수 is highly overall correlated with 보육교직원수 and 3 other fieldsHigh correlation
보육교직원수 is highly overall correlated with 정원수 and 3 other fieldsHigh correlation
보육실수 is highly overall correlated with 정원수 and 3 other fieldsHigh correlation
놀이터수 is highly overall correlated with 정원수 and 3 other fieldsHigh correlation
CCTV설치수 is highly overall correlated with 정원수 and 3 other fieldsHigh correlation
보육교직원수 has 328 (3.3%) missing valuesMissing
어린이집팩스번호 has 4047 (40.5%) missing valuesMissing
보육실수 has 2925 (29.2%) missing valuesMissing
놀이터수 has 3844 (38.4%) missing valuesMissing
CCTV설치수 has 3202 (32.0%) missing valuesMissing
통학차량운영여부 has 1641 (16.4%) missing valuesMissing
홈페이지주소 has 8345 (83.5%) missing valuesMissing
놀이터수 has 3684 (36.8%) zerosZeros
CCTV설치수 has 175 (1.8%) zerosZeros

Reproduction

Analysis started2024-03-12 23:35:22.168548
Analysis finished2024-03-12 23:35:26.366815
Duration4.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

어린이집명
Text

Distinct6690
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T08:35:26.496813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length7.6481
Min length1

Characters and Unicode

Total characters76481
Distinct characters729
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5611 ?
Unique (%)56.1%

Sample

1st row소영어린이집
2nd row시립파밀리에어린이집
3rd row또래별어린이집
4th row푸르지오어린이집
5th row주주어린이집
ValueCountFrequency (%)
어린이집 242
 
2.3%
다솜어린이집 21
 
0.2%
아이숲어린이집 20
 
0.2%
새싹어린이집 18
 
0.2%
아이뜰어린이집 17
 
0.2%
해오름어린이집 17
 
0.2%
사랑나무어린이집 17
 
0.2%
사과나무어린이집 16
 
0.2%
꼬꼬마어린이집 16
 
0.2%
자연어린이집 16
 
0.2%
Other values (6701) 9968
96.1%
2024-03-13T08:35:26.845719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 11032
 
14.4%
린 9716
 
12.7%
어 9603
 
12.6%
집 9550
 
12.5%
아 1485
 
1.9%
시 789
 
1.0%
리 765
 
1.0%
사 728
 
1.0%
립 686
 
0.9%
나 665
 
0.9%
Other values (719) 31462
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75422
98.6%
Space Separator 368
 
0.5%
Uppercase Letter 277
 
0.4%
Decimal Number 184
 
0.2%
Lowercase Letter 173
 
0.2%
Dash Punctuation 16
 
< 0.1%
Close Punctuation 14
 
< 0.1%
Open Punctuation 14
 
< 0.1%
Other Punctuation 11
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 11032
 
14.6%
린 9716
 
12.9%
어 9603
 
12.7%
집 9550
 
12.7%
아 1485
 
2.0%
시 789
 
1.0%
리 765
 
1.0%
사 728
 
1.0%
립 686
 
0.9%
나 665
 
0.9%
Other values (653) 30403
40.3%
Uppercase Letter
ValueCountFrequency (%)
S 40
14.4%
K 37
13.4%
I 24
 
8.7%
C 22
 
7.9%
B 20
 
7.2%
A 19
 
6.9%
E 15
 
5.4%
L 13
 
4.7%
T 11
 
4.0%
D 10
 
3.6%
Other values (16) 66
23.8%
Lowercase Letter
ValueCountFrequency (%)
i 44
25.4%
e 23
13.3%
s 18
10.4%
k 13
 
7.5%
d 8
 
4.6%
l 8
 
4.6%
n 8
 
4.6%
o 7
 
4.0%
y 7
 
4.0%
m 7
 
4.0%
Other values (10) 30
17.3%
Decimal Number
ValueCountFrequency (%)
2 64
34.8%
1 37
20.1%
3 31
16.8%
5 14
 
7.6%
4 11
 
6.0%
7 8
 
4.3%
6 8
 
4.3%
9 7
 
3.8%
0 4
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 4
36.4%
! 3
27.3%
& 2
18.2%
? 1
 
9.1%
＆ 1
 
9.1%
Other Symbol
ValueCountFrequency (%)
♥ 1
50.0%
★ 1
50.0%
Space Separator
ValueCountFrequency (%)
368
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75420
98.6%
Common 609
 
0.8%
Latin 450
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 11032
 
14.6%
린 9716
 
12.9%
어 9603
 
12.7%
집 9550
 
12.7%
아 1485
 
2.0%
시 789
 
1.0%
리 765
 
1.0%
사 728
 
1.0%
립 686
 
0.9%
나 665
 
0.9%
Other values (652) 30401
40.3%
Latin
ValueCountFrequency (%)
i 44
 
9.8%
S 40
 
8.9%
K 37
 
8.2%
I 24
 
5.3%
e 23
 
5.1%
C 22
 
4.9%
B 20
 
4.4%
A 19
 
4.2%
s 18
 
4.0%
E 15
 
3.3%
Other values (36) 188
41.8%
Common
ValueCountFrequency (%)
368
60.4%
2 64
 
10.5%
1 37
 
6.1%
3 31
 
5.1%
- 16
 
2.6%
5 14
 
2.3%
) 14
 
2.3%
( 14
 
2.3%
4 11
 
1.8%
7 8
 
1.3%
Other values (10) 32
 
5.3%
Han
ValueCountFrequency (%)
愛 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75420
98.6%
ASCII 1056
 
1.4%
CJK 2
 
< 0.1%
Misc Symbols 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 11032
 
14.6%
린 9716
 
12.9%
어 9603
 
12.7%
집 9550
 
12.7%
아 1485
 
2.0%
시 789
 
1.0%
리 765
 
1.0%
사 728
 
1.0%
립 686
 
0.9%
나 665
 
0.9%
Other values (652) 30401
40.3%
ASCII
ValueCountFrequency (%)
368
34.8%
2 64
 
6.1%
i 44
 
4.2%
S 40
 
3.8%
1 37
 
3.5%
K 37
 
3.5%
3 31
 
2.9%
I 24
 
2.3%
e 23
 
2.2%
C 22
 
2.1%
Other values (53) 366
34.7%
CJK
ValueCountFrequency (%)
愛 2
100.0%
Misc Symbols
ValueCountFrequency (%)
♥ 1
50.0%
★ 1
50.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 10000
100.0%

Length

2024-03-13T08:35:26.958187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:35:27.046765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 10000
100.0%

시군구명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
1100 
화성시
732 
용인시
703 
남양주시
651 
성남시
650 
Other values (26)
6164 

Length

Max length4
Median length3
Mean length3.119
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부천시
2nd row평택시
3rd row용인시
4th row성남시
5th row의왕시

Common Values

ValueCountFrequency (%)
수원시 1100
 
11.0%
화성시 732
 
7.3%
용인시 703
 
7.0%
남양주시 651
 
6.5%
성남시 650
 
6.5%
고양시 558
 
5.6%
시흥시 470
 
4.7%
부천시 466
 
4.7%
파주시 448
 
4.5%
의정부시 427
 
4.3%
Other values (21) 3795
38.0%

Length

2024-03-13T08:35:27.149414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 1100
 
11.0%
화성시 732
 
7.3%
용인시 703
 
7.0%
남양주시 651
 
6.5%
성남시 650
 
6.5%
고양시 558
 
5.6%
시흥시 470
 
4.7%
부천시 466
 
4.7%
파주시 448
 
4.5%
의정부시 427
 
4.3%
Other values (21) 3795
38.0%

어린이집유형구분
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가정
5230 
민간
3249 
국공립
1042 
직장
 
260
법인·단체
 
98
Other values (3)
 
121

Length

Max length6
Median length2
Mean length2.1576
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가정 5230
52.3%
민간 3249
32.5%
국공립 1042
 
10.4%
직장 260
 
2.6%
법인·단체 98
 
1.0%
협동 60
 
0.6%
사회복지법인 59
 
0.6%
부모협동 2
 
< 0.1%

Length

2024-03-13T08:35:27.252889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:35:27.541814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 5230
52.3%
민간 3249
32.5%
국공립 1042
 
10.4%
직장 260
 
2.6%
법인·단체 98
 
1.0%
협동 60
 
0.6%
사회복지법인 59
 
0.6%
부모협동 2
 
< 0.1%

정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct247
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.6034
Minimum5
Maximum423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:35:27.649193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile15
Q120
median20
Q351
95-th percentile126
Maximum423
Range418
Interquartile range (IQR)31

Descriptive statistics

Standard deviation40.291955
Coefficient of variation (CV)0.94574506
Kurtosis9.0485574
Mean42.6034
Median Absolute Deviation (MAD)5
Skewness2.5923502
Sum426034
Variance1623.4417
MonotonicityNot monotonic
2024-03-13T08:35:27.784011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3009
30.1%
19 1033
 
10.3%
16 277
 
2.8%
49 233
 
2.3%
39 229
 
2.3%
18 218
 
2.2%
17 217
 
2.2%
13 203
 
2.0%
15 152
 
1.5%
99 135
 
1.4%
Other values (237) 4294
42.9%
ValueCountFrequency (%)
5 1
 
< 0.1%
6 2
 
< 0.1%
7 4
 
< 0.1%
8 2
 
< 0.1%
9 10
 
0.1%
10 22
 
0.2%
11 45
 
0.4%
12 41
 
0.4%
13 203
2.0%
14 89
0.9%
ValueCountFrequency (%)
423 1
 
< 0.1%
309 1
 
< 0.1%
304 1
 
< 0.1%
300 21
0.2%
299 1
 
< 0.1%
298 1
 
< 0.1%
290 1
 
< 0.1%
289 1
 
< 0.1%
287 1
 
< 0.1%
279 1
 
< 0.1%

보육교직원수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct53
Distinct (%)0.5%
Missing328
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean8.5367039
Minimum0
Maximum78
Zeros48
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:35:27.919809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q310
95-th percentile19
Maximum78
Range78
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.6029943
Coefficient of variation (CV)0.65634164
Kurtosis14.710435
Mean8.5367039
Median Absolute Deviation (MAD)2
Skewness2.749891
Sum82567
Variance31.393545
MonotonicityNot monotonic
2024-03-13T08:35:28.043390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1662
16.6%
7 1262
12.6%
5 1197
12.0%
8 783
7.8%
4 768
7.7%
9 563
 
5.6%
10 472
 
4.7%
3 384
 
3.8%
11 373
 
3.7%
12 308
 
3.1%
Other values (43) 1900
19.0%
(Missing) 328
 
3.3%
ValueCountFrequency (%)
0 48
 
0.5%
1 102
 
1.0%
2 155
 
1.6%
3 384
 
3.8%
4 768
7.7%
5 1197
12.0%
6 1662
16.6%
7 1262
12.6%
8 783
7.8%
9 563
 
5.6%
ValueCountFrequency (%)
78 1
 
< 0.1%
67 1
 
< 0.1%
64 2
< 0.1%
63 1
 
< 0.1%
61 4
< 0.1%
50 1
 
< 0.1%
47 1
 
< 0.1%
46 1
 
< 0.1%
45 3
< 0.1%
44 4
< 0.1%

소재지도로명주소
Text

Distinct9984
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T08:35:28.316782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length49
Mean length35.9849
Min length13

Characters and Unicode

Total characters359849
Distinct characters641
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9969 ?
Unique (%)99.7%

Sample

1st row경기도 부천시 평천로 616 2115동 101호 (상동, 다정한마을 삼성래미안아파트)
2nd row경기도 평택시 고덕국제2로 73 신동아파밀리에아파트 관리동
3rd row경기도 용인시 수지구 포은대로 298 101동 112호(상현동, 만현마을동보2차1단지아파트)
4th row경기도 성남시 분당구 판교로 20 대우푸르지오 3단지 관리동 (판교동)
5th row경기도 의왕시 내손순환로 7 307동 102호(내손동 래미안에버하임)
ValueCountFrequency (%)
경기도 10014
 
14.8%
수원시 1100
 
1.6%
관리동 880
 
1.3%
화성시 735
 
1.1%
용인시 703
 
1.0%
성남시 653
 
1.0%
남양주시 651
 
1.0%
고양시 559
 
0.8%
시흥시 474
 
0.7%
부천시 466
 
0.7%
Other values (13454) 51408
76.0%
2024-03-13T08:35:28.711688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57776
 
16.1%
1 19940
 
5.5%
동 14555
 
4.0%
0 11694
 
3.2%
시 11187
 
3.1%
도 10668
 
3.0%
기 10566
 
2.9%
경 10474
 
2.9%
로 9501
 
2.6%
2 9035
 
2.5%
Other values (631) 194453
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 210332
58.5%
Decimal Number 70170
 
19.5%
Space Separator 57776
 
16.1%
Open Punctuation 6888
 
1.9%
Close Punctuation 6888
 
1.9%
Other Punctuation 4740
 
1.3%
Dash Punctuation 2201
 
0.6%
Uppercase Letter 701
 
0.2%
Lowercase Letter 130
 
< 0.1%
Math Symbol 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 14555
 
6.9%
시 11187
 
5.3%
도 10668
 
5.1%
기 10566
 
5.0%
경 10474
 
5.0%
로 9501
 
4.5%
호 5421
 
2.6%
파 4735
 
2.3%
아 4689
 
2.2%
트 4343
 
2.1%
Other values (572) 124193
59.0%
Uppercase Letter
ValueCountFrequency (%)
L 80
11.4%
K 79
11.3%
S 79
11.3%
E 77
11.0%
A 68
9.7%
C 54
7.7%
H 52
7.4%
G 43
 
6.1%
B 22
 
3.1%
P 19
 
2.7%
Other values (15) 128
18.3%
Lowercase Letter
ValueCountFrequency (%)
e 80
61.5%
s 17
 
13.1%
c 8
 
6.2%
k 5
 
3.8%
a 5
 
3.8%
l 4
 
3.1%
t 3
 
2.3%
h 3
 
2.3%
i 2
 
1.5%
p 1
 
0.8%
Other values (2) 2
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 19940
28.4%
0 11694
16.7%
2 9035
12.9%
3 6507
 
9.3%
4 5066
 
7.2%
5 4731
 
6.7%
6 4008
 
5.7%
7 3509
 
5.0%
8 2928
 
4.2%
9 2752
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 4636
97.8%
. 89
 
1.9%
/ 10
 
0.2%
? 5
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 19
90.5%
< 1
 
4.8%
> 1
 
4.8%
Space Separator
ValueCountFrequency (%)
57776
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6888
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6888
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2201
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 210331
58.4%
Common 148686
41.3%
Latin 831
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 14555
 
6.9%
시 11187
 
5.3%
도 10668
 
5.1%
기 10566
 
5.0%
경 10474
 
5.0%
로 9501
 
4.5%
호 5421
 
2.6%
파 4735
 
2.3%
아 4689
 
2.2%
트 4343
 
2.1%
Other values (571) 124192
59.0%
Latin
ValueCountFrequency (%)
e 80
9.6%
L 80
9.6%
K 79
9.5%
S 79
9.5%
E 77
 
9.3%
A 68
 
8.2%
C 54
 
6.5%
H 52
 
6.3%
G 43
 
5.2%
B 22
 
2.6%
Other values (27) 197
23.7%
Common
ValueCountFrequency (%)
57776
38.9%
1 19940
 
13.4%
0 11694
 
7.9%
2 9035
 
6.1%
( 6888
 
4.6%
) 6888
 
4.6%
3 6507
 
4.4%
4 5066
 
3.4%
5 4731
 
3.2%
, 4636
 
3.1%
Other values (12) 15525
 
10.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 210330
58.4%
ASCII 149517
41.5%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57776
38.6%
1 19940
 
13.3%
0 11694
 
7.8%
2 9035
 
6.0%
( 6888
 
4.6%
) 6888
 
4.6%
3 6507
 
4.4%
4 5066
 
3.4%
5 4731
 
3.2%
, 4636
 
3.1%
Other values (49) 16356
 
10.9%
Hangul
ValueCountFrequency (%)
동 14555
 
6.9%
시 11187
 
5.3%
도 10668
 
5.1%
기 10566
 
5.0%
경 10474
 
5.0%
로 9501
 
4.5%
호 5421
 
2.6%
파 4735
 
2.3%
아 4689
 
2.2%
트 4343
 
2.1%
Other values (570) 124191
59.0%
CJK
ValueCountFrequency (%)
內 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

어린이집전화번호
Text

Distinct9973
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T08:35:28.909513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.0488
Min length11

Characters and Unicode

Total characters120488
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

Unique9959 ?
Unique (%)99.6%

Sample

1st row032-323-5090
2nd row031-664-2389
3rd row031-266-3923
4th row031-8016-3399
5th row070-7690-2000
ValueCountFrequency (%)
000-0000-0000 11
 
0.1%
031-0000-0000 6
 
0.1%
031-944-6607 2
 
< 0.1%
031-273-9999 2
 
< 0.1%
031-948-2385 2
 
< 0.1%
031-875-6775 2
 
< 0.1%
031-865-7738 2
 
< 0.1%
031-838-1241 2
 
< 0.1%
031-347-0217 2
 
< 0.1%
070-4226-7000 2
 
< 0.1%
Other values (9963) 9967
99.7%
2024-03-13T08:35:29.239128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20000
16.6%
0 17335
14.4%
3 17214
14.3%
1 15370
12.8%
2 8718
7.2%
7 8065
6.7%
5 7464
 
6.2%
8 6829
 
5.7%
9 6647
 
5.5%
6 6558
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100488
83.4%
Dash Punctuation 20000
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17335
17.3%
3 17214
17.1%
1 15370
15.3%
2 8718
8.7%
7 8065
8.0%
5 7464
7.4%
8 6829
 
6.8%
9 6647
 
6.6%
6 6558
 
6.5%
4 6288
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120488
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 20000
16.6%
0 17335
14.4%
3 17214
14.3%
1 15370
12.8%
2 8718
7.2%
7 8065
6.7%
5 7464
 
6.2%
8 6829
 
5.7%
9 6647
 
5.5%
6 6558
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20000
16.6%
0 17335
14.4%
3 17214
14.3%
1 15370
12.8%
2 8718
7.2%
7 8065
6.7%
5 7464
 
6.2%
8 6829
 
5.7%
9 6647
 
5.5%
6 6558
 
5.4%

어린이집팩스번호
Text

MISSING 

Distinct5504
Distinct (%)92.5%
Missing4047
Missing (%)40.5%
Memory size156.2 KiB
2024-03-13T08:35:29.450026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.122627
Min length11

Characters and Unicode

Total characters72166
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

Unique5448 ?
Unique (%)91.5%

Sample

1st row032-323-5090
2nd row031-664-2391
3rd row031-307-8440
4th row031-821-0632
5th row031-395-3668
ValueCountFrequency (%)
000-0000-0000 137
 
2.3%
031-0000-0000 134
 
2.3%
000-000-0000 126
 
2.1%
031-000-0000 4
 
0.1%
031-891-8372 2
 
< 0.1%
031-777-0305 2
 
< 0.1%
031-856-1033 2
 
< 0.1%
031-866-0119 2
 
< 0.1%
031-838-1241 2
 
< 0.1%
031-827-4964 2
 
< 0.1%
Other values (5494) 5540
93.1%
2024-03-13T08:35:29.753214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13513
18.7%
- 11906
16.5%
3 9697
13.4%
1 8227
11.4%
2 4499
 
6.2%
7 4348
 
6.0%
8 4228
 
5.9%
6 4065
 
5.6%
5 3994
 
5.5%
9 3955
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60260
83.5%
Dash Punctuation 11906
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13513
22.4%
3 9697
16.1%
1 8227
13.7%
2 4499
 
7.5%
7 4348
 
7.2%
8 4228
 
7.0%
6 4065
 
6.7%
5 3994
 
6.6%
9 3955
 
6.6%
4 3734
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 11906
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72166
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13513
18.7%
- 11906
16.5%
3 9697
13.4%
1 8227
11.4%
2 4499
 
6.2%
7 4348
 
6.0%
8 4228
 
5.9%
6 4065
 
5.6%
5 3994
 
5.5%
9 3955
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13513
18.7%
- 11906
16.5%
3 9697
13.4%
1 8227
11.4%
2 4499
 
6.2%
7 4348
 
6.0%
8 4228
 
5.9%
6 4065
 
5.6%
5 3994
 
5.5%
9 3955
 
5.5%

보육실수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)0.3%
Missing2925
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean4.5612721
Minimum0
Maximum32
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:35:29.855878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q13
median4
Q35
95-th percentile9
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2766093
Coefficient of variation (CV)0.4991172
Kurtosis9.9721146
Mean4.5612721
Median Absolute Deviation (MAD)1
Skewness2.5022791
Sum32271
Variance5.18295
MonotonicityNot monotonic
2024-03-13T08:35:29.946139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3 2807
28.1%
4 1817
18.2%
5 782
 
7.8%
6 535
 
5.3%
7 325
 
3.2%
8 250
 
2.5%
9 143
 
1.4%
10 105
 
1.1%
2 104
 
1.0%
11 57
 
0.6%
Other values (13) 150
 
1.5%
(Missing) 2925
29.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 7
 
0.1%
2 104
 
1.0%
3 2807
28.1%
4 1817
18.2%
5 782
 
7.8%
6 535
 
5.3%
7 325
 
3.2%
8 250
 
2.5%
9 143
 
1.4%
ValueCountFrequency (%)
32 1
 
< 0.1%
24 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
19 3
 
< 0.1%
17 13
0.1%
16 17
0.2%
15 12
0.1%
14 19
0.2%
13 27
0.3%

놀이터수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct10
Distinct (%)0.2%
Missing3844
Missing (%)38.4%
Infinite0
Infinite (%)0.0%
Mean0.56822612
Minimum0
Maximum26
Zeros3684
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:35:30.034818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum26
Range26
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.90439356
Coefficient of variation (CV)1.5916086
Kurtosis105.45423
Mean0.56822612
Median Absolute Deviation (MAD)0
Skewness5.2247308
Sum3498
Variance0.81792771
MonotonicityNot monotonic
2024-03-13T08:35:30.133270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 3684
36.8%
1 1771
17.7%
2 490
 
4.9%
3 147
 
1.5%
4 46
 
0.5%
5 10
 
0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
26 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 3844
38.4%
ValueCountFrequency (%)
0 3684
36.8%
1 1771
17.7%
2 490
 
4.9%
3 147
 
1.5%
4 46
 
0.5%
5 10
 
0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
26 1
 
< 0.1%
ValueCountFrequency (%)
26 1
 
< 0.1%
8 1
 
< 0.1%
7 2
 
< 0.1%
6 4
 
< 0.1%
5 10
 
0.1%
4 46
 
0.5%
3 147
 
1.5%
2 490
 
4.9%
1 1771
17.7%
0 3684
36.8%

CCTV설치수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct48
Distinct (%)0.7%
Missing3202
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean6.1095911
Minimum0
Maximum114
Zeros175
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:35:30.240337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median4
Q38
95-th percentile16
Maximum114
Range114
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.7948011
Coefficient of variation (CV)0.9484761
Kurtosis28.285323
Mean6.1095911
Median Absolute Deviation (MAD)2
Skewness3.3898477
Sum41533
Variance33.57972
MonotonicityNot monotonic
2024-03-13T08:35:30.349272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4 2543
25.4%
1 1096
 
11.0%
5 520
 
5.2%
8 377
 
3.8%
6 338
 
3.4%
7 247
 
2.5%
16 183
 
1.8%
0 175
 
1.8%
3 158
 
1.6%
12 138
 
1.4%
Other values (38) 1023
 
10.2%
(Missing) 3202
32.0%
ValueCountFrequency (%)
0 175
 
1.8%
1 1096
11.0%
2 11
 
0.1%
3 158
 
1.6%
4 2543
25.4%
5 520
 
5.2%
6 338
 
3.4%
7 247
 
2.5%
8 377
 
3.8%
9 134
 
1.3%
ValueCountFrequency (%)
114 1
< 0.1%
75 1
< 0.1%
63 1
< 0.1%
50 1
< 0.1%
48 2
< 0.1%
46 1
< 0.1%
45 1
< 0.1%
43 1
< 0.1%
42 1
< 0.1%
41 2
< 0.1%

통학차량운영여부
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1641
Missing (%)16.4%
Memory size97.7 KiB
False
5263 
True
3096 
(Missing)
1641 
ValueCountFrequency (%)
False 5263
52.6%
True 3096
31.0%
(Missing) 1641
 
16.4%
2024-03-13T08:35:30.438540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

홈페이지주소
Text

MISSING 

Distinct549
Distinct (%)33.2%
Missing8345
Missing (%)83.5%
Memory size156.2 KiB
2024-03-13T08:35:30.607998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length11
Mean length16.320242
Min length1

Characters and Unicode

Total characters27010
Distinct characters204
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique543 ?
Unique (%)32.8%

Sample

1st rowwww.maehwakid.co.kr
2nd rowhttp://www.
3rd rowhttps://libedoman2.kidsnote.ac/home/main
4th rowhttp://www.
5th rowhttp://www.
ValueCountFrequency (%)
http://www 1100
65.2%
키즈노트사용 4
 
0.2%
다음카페 4
 
0.2%
http://cafe.daum.net/bombitnara 2
 
0.1%
y 2
 
0.1%
cafe.naver.com/orda1997 2
 
0.1%
http://cafe.daum.net/beauty0550 2
 
0.1%
다음까페 2
 
0.1%
2
 
0.1%
sinachildcare 1
 
0.1%
Other values (565) 565
33.5%
2024-03-13T08:35:30.924769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 3681
13.6%
/ 3322
12.3%
t 3196
11.8%
. 2197
 
8.1%
h 1623
 
6.0%
p 1572
 
5.8%
: 1437
 
5.3%
a 1026
 
3.8%
e 1003
 
3.7%
o 780
 
2.9%
Other values (194) 7173
26.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 18775
69.5%
Other Punctuation 6968
 
25.8%
Decimal Number 691
 
2.6%
Other Letter 423
 
1.6%
Uppercase Letter 67
 
0.2%
Dash Punctuation 33
 
0.1%
Space Separator 32
 
0.1%
Connector Punctuation 9
 
< 0.1%
Math Symbol 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 37
 
8.7%
린 30
 
7.1%
어 30
 
7.1%
집 29
 
6.9%
음 17
 
4.0%
다 17
 
4.0%
페 12
 
2.8%
사 11
 
2.6%
카 9
 
2.1%
시 7
 
1.7%
Other values (122) 224
53.0%
Lowercase Letter
ValueCountFrequency (%)
w 3681
19.6%
t 3196
17.0%
h 1623
8.6%
p 1572
8.4%
a 1026
 
5.5%
e 1003
 
5.3%
o 780
 
4.2%
c 775
 
4.1%
n 706
 
3.8%
m 608
 
3.2%
Other values (16) 3805
20.3%
Uppercase Letter
ValueCountFrequency (%)
R 7
 
10.4%
A 6
 
9.0%
S 5
 
7.5%
T 5
 
7.5%
H 5
 
7.5%
D 4
 
6.0%
G 4
 
6.0%
E 4
 
6.0%
I 4
 
6.0%
Y 4
 
6.0%
Other values (11) 19
28.4%
Decimal Number
ValueCountFrequency (%)
0 120
17.4%
2 101
14.6%
1 85
12.3%
7 80
11.6%
4 72
10.4%
9 58
8.4%
6 49
7.1%
3 46
 
6.7%
8 46
 
6.7%
5 34
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/ 3322
47.7%
. 2197
31.5%
: 1437
20.6%
* 6
 
0.1%
? 4
 
0.1%
, 1
 
< 0.1%
; 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 3
75.0%
~ 1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18842
69.8%
Common 7745
28.7%
Hangul 423
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 37
 
8.7%
린 30
 
7.1%
어 30
 
7.1%
집 29
 
6.9%
음 17
 
4.0%
다 17
 
4.0%
페 12
 
2.8%
사 11
 
2.6%
카 9
 
2.1%
시 7
 
1.7%
Other values (122) 224
53.0%
Latin
ValueCountFrequency (%)
w 3681
19.5%
t 3196
17.0%
h 1623
8.6%
p 1572
8.3%
a 1026
 
5.4%
e 1003
 
5.3%
o 780
 
4.1%
c 775
 
4.1%
n 706
 
3.7%
m 608
 
3.2%
Other values (37) 3872
20.5%
Common
ValueCountFrequency (%)
/ 3322
42.9%
. 2197
28.4%
: 1437
18.6%
0 120
 
1.5%
2 101
 
1.3%
1 85
 
1.1%
7 80
 
1.0%
4 72
 
0.9%
9 58
 
0.7%
6 49
 
0.6%
Other values (15) 224
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26587
98.4%
Hangul 423
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 3681
13.8%
/ 3322
12.5%
t 3196
12.0%
. 2197
 
8.3%
h 1623
 
6.1%
p 1572
 
5.9%
: 1437
 
5.4%
a 1026
 
3.9%
e 1003
 
3.8%
o 780
 
2.9%
Other values (62) 6750
25.4%
Hangul
ValueCountFrequency (%)
이 37
 
8.7%
린 30
 
7.1%
어 30
 
7.1%
집 29
 
6.9%
음 17
 
4.0%
다 17
 
4.0%
페 12
 
2.8%
사 11
 
2.6%
카 9
 
2.1%
시 7
 
1.7%
Other values (122) 224
53.0%

데이터기준일자
Date

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-04-24 00:00:00
Maximum2024-02-29 00:00:00
2024-03-13T08:35:31.033122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:31.128835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

Interactions

2024-03-13T08:35:25.574236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.002064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.360312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.778650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:25.210101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:25.640832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.068734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.428900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.861127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:25.276604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:25.717886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.141563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.512088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.955396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:25.350971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:25.790753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.210304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.596048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:25.038700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:25.434589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:25.863371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.288971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:24.689089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:25.116068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:35:25.501907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:35:31.203804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명어린이집유형구분정원수보육교직원수보육실수놀이터수CCTV설치수통학차량운영여부데이터기준일자
시군구명1.0000.2640.1940.2700.2660.0000.2360.4671.000
어린이집유형구분0.2641.0000.4910.5010.4650.0780.3720.4460.260
정원수0.1940.4911.0000.7080.8670.1680.5490.3060.181
보육교직원수0.2700.5010.7081.0000.8440.1560.6460.2110.240
보육실수0.2660.4650.8670.8441.0000.1450.5910.4410.254
놀이터수0.0000.0780.1680.1560.1451.0000.1380.0240.000
CCTV설치수0.2360.3720.5490.6460.5910.1381.0000.1620.226
통학차량운영여부0.4670.4460.3060.2110.4410.0240.1621.0000.430
데이터기준일자1.0000.2600.1810.2400.2540.0000.2260.4301.000
2024-03-13T08:35:31.312640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통학차량운영여부어린이집유형구분시군구명
통학차량운영여부1.0000.4780.371
어린이집유형구분0.4781.0000.105
시군구명0.3710.1051.000
2024-03-13T08:35:31.402821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원수보육교직원수보육실수놀이터수CCTV설치수시군구명어린이집유형구분통학차량운영여부
정원수1.0000.7370.7930.6940.6110.0730.2670.305
보육교직원수0.7371.0000.6760.5910.5670.0890.2670.211
보육실수0.7930.6761.0000.6210.7570.1040.2670.331
놀이터수0.6940.5910.6211.0000.5600.0000.0500.030
CCTV설치수0.6110.5670.7570.5601.0000.0980.2090.121
시군구명0.0730.0890.1040.0000.0981.0000.1050.371
어린이집유형구분0.2670.2670.2670.0500.2090.1051.0000.478
통학차량운영여부0.3050.2110.3310.0300.1210.3710.4781.000

Missing values

2024-03-13T08:35:25.981800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:35:26.140949image/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.
2024-03-13T08:35:26.287049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

어린이집명시도명시군구명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부홈페이지주소데이터기준일자
3036소영어린이집경기도부천시가정206경기도 부천시 평천로 616 2115동 101호 (상동, 다정한마을 삼성래미안아파트)032-323-5090032-323-509040<NA>N<NA>2022-10-17
9144시립파밀리에어린이집경기도평택시국공립8013경기도 평택시 고덕국제2로 73 신동아파밀리에아파트 관리동031-664-2389031-664-239161<NA>N<NA>2022-09-30
7271또래별어린이집경기도용인시가정196경기도 용인시 수지구 포은대로 298 101동 112호(상현동, 만현마을동보2차1단지아파트)031-266-3923<NA>304N<NA>2022-05-31
3445푸르지오어린이집경기도성남시민간307경기도 성남시 분당구 판교로 20 대우푸르지오 3단지 관리동 (판교동)031-8016-3399<NA><NA><NA><NA><NA><NA>2018-05-15
7832주주어린이집경기도의왕시가정206경기도 의왕시 내손순환로 7 307동 102호(내손동 래미안에버하임)070-7690-2000<NA>300N<NA>2023-03-13
9982초콜릿어린이집경기도화성시민간396경기도 화성시 영통로27번길 20 신영통현대아파트 4단지 관리동 2층031-307-8440031-307-8440417N<NA>2022-06-08
6096아이꿈 어린이집경기도안양시가정20<NA>경기도 안양시 동안구 달안로 10 102동 101호(비산동, 은하수마을청구1단지아파트)031-386-1236<NA><NA><NA><NA><NA><NA>2023-06-21
6353아이꿈어린이집경기도양주시민간398경기도 양주시 고읍로 118-16 유승한내들A. 9단지 관리동 1층 (광사동)031-821-0632031-821-0632406Y<NA>2019-05-16
1333군포시립매화어린이집경기도군포시국공립5411경기도 군포시 곡란로 22 매화14단지 매화종합사회복지관1층031-395-3678031-395-3668418Nwww.maehwakid.co.kr2022-05-03
2532꿈모아어린이집경기도남양주시가정175경기도 남양주시 화도읍 수레로 1234-13 211동 102호(, 창현두산2단지아파트)031-511-7665<NA><NA><NA><NA><NA><NA>2017-04-24
어린이집명시도명시군구명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부홈페이지주소데이터기준일자
6457숲속효동어린이집경기도양주시민간476경기도 양주시 마전로118번길 62-10031-841-9030031-841-9031407Y<NA>2019-05-16
9852어울림어린이집경기도화성시민간257경기도 화성시 동탄중앙로 213 관리동1층(반송동, 시범한빛마을 금호어울림)031-613-8579031-8003-7979424N<NA>2022-06-08
4539아트팡팡어린이집경기도수원시가정195경기도 수원시 권선구 수성로 18 2동 101호(구운동, 강남아파트)031-292-6160<NA><NA><NA>1Yhttp://www.2018-07-31
87389사단에버나인경기도파주시직장5912경기도 파주시 창곡동길 20 관리동031-946-8274070-7552-73524<NA>29N<NA>2019-02-28
566고양시립일산센트럴어린이집경기도고양시국공립7317경기도 고양시 일산동구 중산로 70 일산센트럴아이파크 내031-975-7942031-975-79496121Nhttps://cafe.naver.com/forestofkids2024-02-29
1275군포시립송정어린이집경기도군포시국공립478경기도 군포시 송부로49번길 15 101동 1층031-502-7070031-502-7071309N<NA>2022-05-03
7738푸른솔어린이집경기도의왕시민간467경기도 의왕시 부곡복지관길 32 삼동 장미아파트 관리동 2층031-461-1004031-689-4104400Y<NA>2023-03-13
218자람동산어린이집경기도고양시민간15830경기도 고양시 덕양구 고양대로2002번길 16-13 (동산동)02-387-018802-387-01838216Y<NA>2024-02-29
637은혜어린이집경기도과천시가정208경기도 과천시 부림로 2 808동 107호(주공8단지)02-503-325602-504-3256313N<NA>2023-08-01
2536남양아이꼬마숲어린이집경기도남양주시가정205경기도 남양주시 미금로57번길 22 722동 105호(도농동, 남양아이좋은집2단지아파트)031-553-2932<NA><NA><NA><NA><NA><NA>2017-04-24