Overview

Dataset statistics

Number of variables9
Number of observations1420
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory104.1 KiB
Average record size in memory75.1 B

Variable types

Categorical2
Text3
Boolean1
Numeric3

Dataset

Description평가인증어린이집현황20148
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201973

Alerts

평가인증여부 has constant value ""Constant
정원 is highly overall correlated with 현원 and 1 other fieldsHigh correlation
현원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
교직원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-03-14 00:30:38.739618
Analysis finished2024-03-14 00:30:40.461469
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

Distinct15
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
전주시 완산구
348 
전주시 덕진구
280 
익산시
231 
군산시
207 
정읍시
87 
Other values (10)
267 

Length

Max length7
Median length3
Mean length4.7690141
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전주시 완산구
2nd row전주시 완산구
3rd row전주시 완산구
4th row전주시 완산구
5th row전주시 완산구

Common Values

ValueCountFrequency (%)
전주시 완산구 348
24.5%
전주시 덕진구 280
19.7%
익산시 231
16.3%
군산시 207
14.6%
정읍시 87
 
6.1%
남원시 64
 
4.5%
완주군 64
 
4.5%
김제시 58
 
4.1%
부안군 22
 
1.5%
고창군 20
 
1.4%
Other values (5) 39
 
2.7%

Length

2024-03-14T09:30:40.545584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 628
30.7%
완산구 348
17.0%
덕진구 280
13.7%
익산시 231
 
11.3%
군산시 207
 
10.1%
정읍시 87
 
4.2%
남원시 64
 
3.1%
완주군 64
 
3.1%
김제시 58
 
2.8%
부안군 22
 
1.1%
Other values (6) 59
 
2.9%

어린이집유형
Categorical

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
가정
716 
민간
419 
사회복지법인
138 
법인·단체등
92 
국공립
 
50

Length

Max length6
Median length2
Mean length2.6830986
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가정 716
50.4%
민간 419
29.5%
사회복지법인 138
 
9.7%
법인·단체등 92
 
6.5%
국공립 50
 
3.5%
직장 5
 
0.4%

Length

2024-03-14T09:30:40.669834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:30:40.771076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 716
50.4%
민간 419
29.5%
사회복지법인 138
 
9.7%
법인·단체등 92
 
6.5%
국공립 50
 
3.5%
직장 5
 
0.4%

어린이집
Text

Distinct1158
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
2024-03-14T09:30:40.946872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.4077465
Min length5

Characters and Unicode

Total characters10519
Distinct characters468
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

Unique982 ?
Unique (%)69.2%

Sample

1st rowECG우미어린이집
2nd rowNQ보듬이어린이집
3rd rowe편한세상어린이집
4th row가람어린이집
5th row개구쟁이어린이집
ValueCountFrequency (%)
어린이집 58
 
3.9%
해바라기어린이집 6
 
0.4%
아기별어린이집 5
 
0.3%
솔로몬어린이집 5
 
0.3%
동화나라어린이집 5
 
0.3%
행복한어린이집 5
 
0.3%
해맑은어린이집 5
 
0.3%
뽀뽀뽀어린이집 4
 
0.3%
엄마사랑어린이집 4
 
0.3%
꿈동산어린이집 4
 
0.3%
Other values (1162) 1391
93.2%
2024-03-14T09:30:41.240840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1565
 
14.9%
린 1441
 
13.7%
어 1424
 
13.5%
집 1420
 
13.5%
아 183
 
1.7%
리 101
 
1.0%
사 100
 
1.0%
랑 97
 
0.9%
나 96
 
0.9%
마 93
 
0.9%
Other values (458) 3999
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10398
98.8%
Space Separator 72
 
0.7%
Uppercase Letter 28
 
0.3%
Decimal Number 10
 
0.1%
Lowercase Letter 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1565
15.1%
린 1441
 
13.9%
어 1424
 
13.7%
집 1420
 
13.7%
아 183
 
1.8%
리 101
 
1.0%
사 100
 
1.0%
랑 97
 
0.9%
나 96
 
0.9%
마 93
 
0.9%
Other values (435) 3878
37.3%
Uppercase Letter
ValueCountFrequency (%)
C 5
17.9%
A 4
14.3%
Q 4
14.3%
E 4
14.3%
N 2
 
7.1%
B 2
 
7.1%
W 2
 
7.1%
Y 2
 
7.1%
O 1
 
3.6%
G 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
1 2
20.0%
3 2
20.0%
4 2
20.0%
5 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
66.7%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
72
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10398
98.8%
Common 90
 
0.9%
Latin 31
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1565
15.1%
린 1441
 
13.9%
어 1424
 
13.7%
집 1420
 
13.7%
아 183
 
1.8%
리 101
 
1.0%
사 100
 
1.0%
랑 97
 
0.9%
나 96
 
0.9%
마 93
 
0.9%
Other values (435) 3878
37.3%
Latin
ValueCountFrequency (%)
C 5
16.1%
A 4
12.9%
Q 4
12.9%
E 4
12.9%
N 2
 
6.5%
B 2
 
6.5%
i 2
 
6.5%
W 2
 
6.5%
Y 2
 
6.5%
O 1
 
3.2%
Other values (3) 3
9.7%
Common
ValueCountFrequency (%)
72
80.0%
2 3
 
3.3%
1 2
 
2.2%
. 2
 
2.2%
3 2
 
2.2%
- 2
 
2.2%
) 2
 
2.2%
( 2
 
2.2%
4 2
 
2.2%
5 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10398
98.8%
ASCII 121
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1565
15.1%
린 1441
 
13.9%
어 1424
 
13.7%
집 1420
 
13.7%
아 183
 
1.8%
리 101
 
1.0%
사 100
 
1.0%
랑 97
 
0.9%
나 96
 
0.9%
마 93
 
0.9%
Other values (435) 3878
37.3%
ASCII
ValueCountFrequency (%)
72
59.5%
C 5
 
4.1%
A 4
 
3.3%
Q 4
 
3.3%
E 4
 
3.3%
2 3
 
2.5%
1 2
 
1.7%
. 2
 
1.7%
3 2
 
1.7%
- 2
 
1.7%
Other values (13) 21
 
17.4%

행정동
Text

Distinct158
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
2024-03-14T09:30:41.463768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.4683099
Min length2

Characters and Unicode

Total characters4925
Distinct characters125
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

Unique45 ?
Unique (%)3.2%

Sample

1st row평화2동
2nd row효자4동
3rd row서신동
4th row삼천3동
5th row삼천2동
ValueCountFrequency (%)
평화2동 75
 
5.3%
송천1동 57
 
4.0%
효자4동 51
 
3.6%
인후3동 50
 
3.5%
수송동 47
 
3.3%
서신동 46
 
3.2%
삼천3동 42
 
3.0%
나운3동 40
 
2.8%
봉동읍 33
 
2.3%
동산동 33
 
2.3%
Other values (148) 946
66.6%
2024-03-14T09:30:41.816866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1288
26.2%
2 219
 
4.4%
1 179
 
3.6%
천 151
 
3.1%
3 147
 
3.0%
송 141
 
2.9%
화 130
 
2.6%
삼 116
 
2.4%
면 113
 
2.3%
산 107
 
2.2%
Other values (115) 2334
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4329
87.9%
Decimal Number 596
 
12.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1288
29.8%
천 151
 
3.5%
송 141
 
3.3%
화 130
 
3.0%
삼 116
 
2.7%
면 113
 
2.6%
산 107
 
2.5%
읍 104
 
2.4%
성 101
 
2.3%
인 93
 
2.1%
Other values (111) 1985
45.9%
Decimal Number
ValueCountFrequency (%)
2 219
36.7%
1 179
30.0%
3 147
24.7%
4 51
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4329
87.9%
Common 596
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1288
29.8%
천 151
 
3.5%
송 141
 
3.3%
화 130
 
3.0%
삼 116
 
2.7%
면 113
 
2.6%
산 107
 
2.5%
읍 104
 
2.4%
성 101
 
2.3%
인 93
 
2.1%
Other values (111) 1985
45.9%
Common
ValueCountFrequency (%)
2 219
36.7%
1 179
30.0%
3 147
24.7%
4 51
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4329
87.9%
ASCII 596
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1288
29.8%
천 151
 
3.5%
송 141
 
3.3%
화 130
 
3.0%
삼 116
 
2.7%
면 113
 
2.6%
산 107
 
2.5%
읍 104
 
2.4%
성 101
 
2.3%
인 93
 
2.1%
Other values (111) 1985
45.9%
ASCII
ValueCountFrequency (%)
2 219
36.7%
1 179
30.0%
3 147
24.7%
4 51
 
8.6%

평가인증여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1420 
ValueCountFrequency (%)
True 1420
100.0%
2024-03-14T09:30:41.916420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct156
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.107042
Minimum10
Maximum422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.6 KiB
2024-03-14T09:30:41.999746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13
Q119
median20
Q371
95-th percentile125
Maximum422
Range412
Interquartile range (IQR)52

Descriptive statistics

Standard deviation43.714202
Coefficient of variation (CV)0.92797594
Kurtosis8.182939
Mean47.107042
Median Absolute Deviation (MAD)8
Skewness2.2510448
Sum66892
Variance1910.9315
MonotonicityNot monotonic
2024-03-14T09:30:42.110764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 244
 
17.2%
19 212
 
14.9%
13 108
 
7.6%
99 54
 
3.8%
39 37
 
2.6%
16 35
 
2.5%
49 31
 
2.2%
18 27
 
1.9%
11 22
 
1.5%
17 21
 
1.5%
Other values (146) 629
44.3%
ValueCountFrequency (%)
10 5
 
0.4%
11 22
 
1.5%
12 14
 
1.0%
13 108
7.6%
14 18
 
1.3%
15 12
 
0.8%
16 35
 
2.5%
17 21
 
1.5%
18 27
 
1.9%
19 212
14.9%
ValueCountFrequency (%)
422 1
0.1%
300 1
0.1%
295 1
0.1%
288 1
0.1%
265 1
0.1%
250 2
0.1%
245 1
0.1%
244 1
0.1%
241 1
0.1%
240 1
0.1%

현원
Real number (ℝ)

HIGH CORRELATION 

Distinct138
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.266197
Minimum0
Maximum276
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size12.6 KiB
2024-03-14T09:30:42.209449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q114
median20
Q350
95-th percentile97
Maximum276
Range276
Interquartile range (IQR)36

Descriptive statistics

Standard deviation33.368967
Coefficient of variation (CV)0.92011209
Kurtosis6.8734923
Mean36.266197
Median Absolute Deviation (MAD)10
Skewness2.092994
Sum51498
Variance1113.4879
MonotonicityNot monotonic
2024-03-14T09:30:42.311431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 90
 
6.3%
18 74
 
5.2%
13 68
 
4.8%
17 66
 
4.6%
20 66
 
4.6%
12 62
 
4.4%
15 47
 
3.3%
11 47
 
3.3%
14 46
 
3.2%
10 43
 
3.0%
Other values (128) 811
57.1%
ValueCountFrequency (%)
0 3
 
0.2%
1 2
 
0.1%
2 2
 
0.1%
3 4
 
0.3%
4 3
 
0.2%
5 12
0.8%
6 17
1.2%
7 16
1.1%
8 27
1.9%
9 28
2.0%
ValueCountFrequency (%)
276 1
0.1%
269 1
0.1%
264 1
0.1%
228 1
0.1%
196 1
0.1%
183 1
0.1%
170 1
0.1%
161 2
0.1%
155 2
0.1%
149 2
0.1%

교직원
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3295775
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.6 KiB
2024-03-14T09:30:42.426086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q310
95-th percentile16
Maximum42
Range41
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.5987526
Coefficient of variation (CV)0.62742397
Kurtosis4.6659334
Mean7.3295775
Median Absolute Deviation (MAD)2
Skewness1.6658328
Sum10408
Variance21.148526
MonotonicityNot monotonic
2024-03-14T09:30:42.548438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4 258
18.2%
5 187
13.2%
3 170
12.0%
6 112
7.9%
7 96
 
6.8%
9 85
 
6.0%
10 77
 
5.4%
8 72
 
5.1%
11 70
 
4.9%
12 55
 
3.9%
Other values (19) 238
16.8%
ValueCountFrequency (%)
1 6
 
0.4%
2 54
 
3.8%
3 170
12.0%
4 258
18.2%
5 187
13.2%
6 112
7.9%
7 96
 
6.8%
8 72
 
5.1%
9 85
 
6.0%
10 77
 
5.4%
ValueCountFrequency (%)
42 1
 
0.1%
33 1
 
0.1%
32 1
 
0.1%
28 1
 
0.1%
27 4
0.3%
25 2
 
0.1%
23 4
0.3%
22 2
 
0.1%
21 5
0.4%
20 6
0.4%

전화번호
Text

Distinct1419
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
2024-03-14T09:30:42.784654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.011268
Min length12

Characters and Unicode

Total characters17056
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

Unique1418 ?
Unique (%)99.9%

Sample

1st row063-228-1834
2nd row070-7797-9811
3rd row063-251-2131
4th row063-229-6775
5th row063-226-4352
ValueCountFrequency (%)
063-625-0151 2
 
0.1%
063-836-2778 1
 
0.1%
063-835-6444 1
 
0.1%
063-834-4116 1
 
0.1%
063-842-2548 1
 
0.1%
063-834-0636 1
 
0.1%
063-834-7448 1
 
0.1%
063-835-1856 1
 
0.1%
063-834-3252 1
 
0.1%
063-834-6706 1
 
0.1%
Other values (1409) 1409
99.2%
2024-03-14T09:30:43.094972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2840
16.7%
3 2492
14.6%
6 2354
13.8%
0 2244
13.2%
2 1630
9.6%
5 1168
6.8%
4 1054
 
6.2%
8 916
 
5.4%
1 881
 
5.2%
7 836
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14216
83.3%
Dash Punctuation 2840
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2492
17.5%
6 2354
16.6%
0 2244
15.8%
2 1630
11.5%
5 1168
8.2%
4 1054
7.4%
8 916
 
6.4%
1 881
 
6.2%
7 836
 
5.9%
9 641
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 2840
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17056
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2840
16.7%
3 2492
14.6%
6 2354
13.8%
0 2244
13.2%
2 1630
9.6%
5 1168
6.8%
4 1054
 
6.2%
8 916
 
5.4%
1 881
 
5.2%
7 836
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17056
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2840
16.7%
3 2492
14.6%
6 2354
13.8%
0 2244
13.2%
2 1630
9.6%
5 1168
6.8%
4 1054
 
6.2%
8 916
 
5.4%
1 881
 
5.2%
7 836
 
4.9%

Interactions

2024-03-14T09:30:39.854419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:30:39.161959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:30:39.360518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:30:39.922892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:30:39.225965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:30:39.426015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:30:39.991130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:30:39.296147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:30:39.498525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:30:43.202531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구어린이집유형정원현원교직원
시군구1.0000.4010.2240.2220.249
어린이집유형0.4011.0000.5740.6230.639
정원0.2240.5741.0000.8330.891
현원0.2220.6230.8331.0000.868
교직원0.2490.6390.8910.8681.000
2024-03-14T09:30:43.300784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집유형시군구
어린이집유형1.0000.199
시군구0.1991.000
2024-03-14T09:30:43.370645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원현원교직원시군구어린이집유형
정원1.0000.9080.8680.0920.328
현원0.9081.0000.9280.0840.389
교직원0.8680.9281.0000.1030.380
시군구0.0920.0840.1031.0000.199
어린이집유형0.3280.3890.3800.1991.000

Missing values

2024-03-14T09:30:40.110357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:30:40.365674image/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

시군구어린이집유형어린이집행정동평가인증여부정원현원교직원전화번호
0전주시 완산구민간ECG우미어린이집평화2동Y32267063-228-1834
1전주시 완산구가정NQ보듬이어린이집효자4동Y19194070-7797-9811
2전주시 완산구민간e편한세상어린이집서신동Y26266063-251-2131
3전주시 완산구민간가람어린이집삼천3동Y39103063-229-6775
4전주시 완산구가정개구쟁이어린이집삼천2동Y2075063-226-4352
5전주시 완산구가정경복궁어린이집평화2동Y1995063-225-1430
6전주시 완산구민간고감도어린이집평화2동Y29512317063-222-1837
7전주시 완산구가정고운엄마품어린이집효자3동Y13134063-227-4888
8전주시 완산구가정곤지곤지어린이집평화2동Y1352063-237-5757
9전주시 완산구민간골든팰리스어린이집효자4동Y21104063-902-2664
시군구어린이집유형어린이집행정동평가인증여부정원현원교직원전화번호
1410부안군법인·단체등원광백양어린이집부안읍Y1275811063-584-9498
1411부안군국공립자연보물어린이집부안읍Y675911063-584-8778
1412부안군민간줄포어린이집줄포면Y25204063-582-0708
1413부안군민간천사어린이집부안읍Y79337063-583-9605
1414부안군민간큰별 어린이집계화면Y39336063-583-7543
1415부안군민간하늘숲어린이집부안읍Y978913063-581-5599
1416부안군가정하얀어린이집부안읍Y20206063-582-2777
1417부안군민간함께하는어린이집백산면Y23156063-582-0391
1418부안군민간해랑어린이집변산면Y1099215063-582-2879
1419부안군민간해바라기어린이집부안읍Y124629063-584-8131