Overview

Dataset statistics

Number of variables9
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory77.1 B

Variable types

Categorical3
Text4
Numeric2

Dataset

Description제주특별자치도 내 소재하고 있는 지역아동센터의 행정동,시설명,소재지,전화번호,종사자 정원,아동 정원 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056371/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
우편번호 is highly overall correlated with 행정시High correlation
아동 정원 is highly overall correlated with 종사자 정원High correlation
행정시 is highly overall correlated with 우편번호High correlation
종사자 정원 is highly overall correlated with 아동 정원High correlation
시설명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:05:51.669615
Analysis finished2023-12-12 12:05:52.685706
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정시
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
제주시
36 
서귀포시
28 

Length

Max length4
Median length3
Mean length3.4375
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 36
56.2%
서귀포시 28
43.8%

Length

2023-12-12T21:05:52.765090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:52.986257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 36
56.2%
서귀포시 28
43.8%

행정동
Text

Distinct33
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T21:05:53.206295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0625
Min length2

Characters and Unicode

Total characters196
Distinct characters54
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

Unique16 ?
Unique (%)25.0%

Sample

1st row노형동
2nd row삼도2동
3rd row일도2동
4th row구좌읍
5th row구좌읍
ValueCountFrequency (%)
동홍동 5
 
7.8%
성산읍 4
 
6.2%
조천읍 4
 
6.2%
노형동 4
 
6.2%
구좌읍 4
 
6.2%
남원읍 3
 
4.7%
대정읍 3
 
4.7%
애월읍 3
 
4.7%
화북동 2
 
3.1%
봉개동 2
 
3.1%
Other values (23) 30
46.9%
2023-12-12T21:05:53.567099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 40
20.4%
읍 22
 
11.2%
천 8
 
4.1%
면 7
 
3.6%
도 6
 
3.1%
홍 6
 
3.1%
산 5
 
2.6%
대 5
 
2.6%
좌 4
 
2.0%
구 4
 
2.0%
Other values (44) 89
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
97.4%
Decimal Number 5
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
20.9%
읍 22
 
11.5%
천 8
 
4.2%
면 7
 
3.7%
도 6
 
3.1%
홍 6
 
3.1%
산 5
 
2.6%
대 5
 
2.6%
좌 4
 
2.1%
구 4
 
2.1%
Other values (42) 84
44.0%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
97.4%
Common 5
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
20.9%
읍 22
 
11.5%
천 8
 
4.2%
면 7
 
3.7%
도 6
 
3.1%
홍 6
 
3.1%
산 5
 
2.6%
대 5
 
2.6%
좌 4
 
2.1%
구 4
 
2.1%
Other values (42) 84
44.0%
Common
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
97.4%
ASCII 5
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 40
20.9%
읍 22
 
11.5%
천 8
 
4.2%
면 7
 
3.7%
도 6
 
3.1%
홍 6
 
3.1%
산 5
 
2.6%
대 5
 
2.6%
좌 4
 
2.1%
구 4
 
2.1%
Other values (42) 84
44.0%
ASCII
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

시설명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T21:05:53.913489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length8
Mean length8.984375
Min length7

Characters and Unicode

Total characters575
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

Unique64 ?
Unique (%)100.0%

Sample

1st row더불어숲지역아동센터
2nd row우리동네지역아동센터
3rd row제일지역아동센터
4th row우리하도지역아동센터
5th row해바라기지역아동센터
ValueCountFrequency (%)
더불어숲지역아동센터 1
 
1.6%
우리동네지역아동센터 1
 
1.6%
비전지역아동센터 1
 
1.6%
새순지역아동센터 1
 
1.6%
lh행복꿈터삼화지역아동센터 1
 
1.6%
가마지역아동센터 1
 
1.6%
감산지역아동센터 1
 
1.6%
다솜지역아동센터 1
 
1.6%
담쟁이지역아동센터 1
 
1.6%
대정골지역아동센터 1
 
1.6%
Other values (54) 54
84.4%
2023-12-12T21:05:54.392563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 67
11.7%
지 66
 
11.5%
아 66
 
11.5%
터 65
 
11.3%
역 64
 
11.1%
센 64
 
11.1%
한 5
 
0.9%
복 4
 
0.7%
이 4
 
0.7%
신 4
 
0.7%
Other values (115) 166
28.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 573
99.7%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 67
11.7%
지 66
11.5%
아 66
11.5%
터 65
 
11.3%
역 64
 
11.2%
센 64
 
11.2%
한 5
 
0.9%
복 4
 
0.7%
이 4
 
0.7%
신 4
 
0.7%
Other values (113) 164
28.6%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 573
99.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 67
11.7%
지 66
11.5%
아 66
11.5%
터 65
 
11.3%
역 64
 
11.2%
센 64
 
11.2%
한 5
 
0.9%
복 4
 
0.7%
이 4
 
0.7%
신 4
 
0.7%
Other values (113) 164
28.6%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 573
99.7%
ASCII 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 67
11.7%
지 66
11.5%
아 66
11.5%
터 65
 
11.3%
역 64
 
11.2%
센 64
 
11.2%
한 5
 
0.9%
복 4
 
0.7%
이 4
 
0.7%
신 4
 
0.7%
Other values (113) 164
28.6%
ASCII
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

소재지
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T21:05:54.808832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length21.125
Min length17

Characters and Unicode

Total characters1352
Distinct characters98
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

Unique64 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 제주시 일주서로 7774-1
2nd row제주특별자치도 제주시 관덕로 35
3rd row제주특별자치도 제주시 천수동로 2
4th row제주특별자치도 제주시 일주동로 3400
5th row제주특별자치도 제주시 평대13길 46
ValueCountFrequency (%)
제주특별자치도 64
25.0%
제주시 36
 
14.1%
서귀포시 28
 
10.9%
일주서로 2
 
0.8%
5 2
 
0.8%
동홍중앙로 2
 
0.8%
9 2
 
0.8%
6 2
 
0.8%
중산간서로 2
 
0.8%
50 2
 
0.8%
Other values (107) 114
44.5%
2023-12-12T21:05:55.397228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
 
14.2%
주 104
 
7.7%
제 100
 
7.4%
도 66
 
4.9%
특 64
 
4.7%
별 64
 
4.7%
자 64
 
4.7%
치 64
 
4.7%
시 64
 
4.7%
로 54
 
4.0%
Other values (88) 516
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 932
68.9%
Decimal Number 213
 
15.8%
Space Separator 192
 
14.2%
Dash Punctuation 15
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 104
11.2%
제 100
 
10.7%
도 66
 
7.1%
특 64
 
6.9%
별 64
 
6.9%
자 64
 
6.9%
치 64
 
6.9%
시 64
 
6.9%
로 54
 
5.8%
서 35
 
3.8%
Other values (76) 253
27.1%
Decimal Number
ValueCountFrequency (%)
1 47
22.1%
2 32
15.0%
5 26
12.2%
3 18
 
8.5%
0 17
 
8.0%
6 17
 
8.0%
4 17
 
8.0%
7 17
 
8.0%
9 12
 
5.6%
8 10
 
4.7%
Space Separator
ValueCountFrequency (%)
192
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 932
68.9%
Common 420
31.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 104
11.2%
제 100
 
10.7%
도 66
 
7.1%
특 64
 
6.9%
별 64
 
6.9%
자 64
 
6.9%
치 64
 
6.9%
시 64
 
6.9%
로 54
 
5.8%
서 35
 
3.8%
Other values (76) 253
27.1%
Common
ValueCountFrequency (%)
192
45.7%
1 47
 
11.2%
2 32
 
7.6%
5 26
 
6.2%
3 18
 
4.3%
0 17
 
4.0%
6 17
 
4.0%
4 17
 
4.0%
7 17
 
4.0%
- 15
 
3.6%
Other values (2) 22
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 932
68.9%
ASCII 420
31.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
45.7%
1 47
 
11.2%
2 32
 
7.6%
5 26
 
6.2%
3 18
 
4.3%
0 17
 
4.0%
6 17
 
4.0%
4 17
 
4.0%
7 17
 
4.0%
- 15
 
3.6%
Other values (2) 22
 
5.2%
Hangul
ValueCountFrequency (%)
주 104
11.2%
제 100
 
10.7%
도 66
 
7.1%
특 64
 
6.9%
별 64
 
6.9%
자 64
 
6.9%
치 64
 
6.9%
시 64
 
6.9%
로 54
 
5.8%
서 35
 
3.8%
Other values (76) 253
27.1%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63374.203
Minimum63006
Maximum63643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T21:05:55.573008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63006
5-th percentile63047.45
Q163172.5
median63358.5
Q363587.5
95-th percentile63634.95
Maximum63643
Range637
Interquartile range (IQR)415

Descriptive statistics

Standard deviation211.66327
Coefficient of variation (CV)0.0033398963
Kurtosis-1.3676582
Mean63374.203
Median Absolute Deviation (MAD)222
Skewness-0.26847054
Sum4055949
Variance44801.339
MonotonicityNot monotonic
2023-12-12T21:05:55.754529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63589 2
 
3.1%
63333 2
 
3.1%
63095 1
 
1.6%
63563 1
 
1.6%
63303 1
 
1.6%
63625 1
 
1.6%
63531 1
 
1.6%
63606 1
 
1.6%
63584 1
 
1.6%
63517 1
 
1.6%
Other values (52) 52
81.2%
ValueCountFrequency (%)
63006 1
1.6%
63008 1
1.6%
63028 1
1.6%
63047 1
1.6%
63050 1
1.6%
63067 1
1.6%
63070 1
1.6%
63074 1
1.6%
63095 1
1.6%
63096 1
1.6%
ValueCountFrequency (%)
63643 1
1.6%
63640 1
1.6%
63639 1
1.6%
63636 1
1.6%
63629 1
1.6%
63625 1
1.6%
63618 1
1.6%
63616 1
1.6%
63611 1
1.6%
63606 1
1.6%

전화번호
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T21:05:56.031422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.046875
Min length12

Characters and Unicode

Total characters771
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

Unique64 ?
Unique (%)100.0%

Sample

1st row064-711-5025
2nd row064-721-8219
3rd row064-756-1878
4th row064-784-2818
5th row064-782-1742
ValueCountFrequency (%)
064-711-5025 1
 
1.6%
064-721-8219 1
 
1.6%
064-739-9801 1
 
1.6%
064-742-7004 1
 
1.6%
064-751-0317 1
 
1.6%
064-787-3320 1
 
1.6%
064-794-6497 1
 
1.6%
064-767-3402 1
 
1.6%
064-732-3315 1
 
1.6%
064-792-3690 1
 
1.6%
Other values (54) 54
84.4%
2023-12-12T21:05:56.426826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 128
16.6%
0 113
14.7%
6 96
12.5%
4 92
11.9%
7 92
11.9%
2 53
6.9%
3 47
 
6.1%
9 42
 
5.4%
8 39
 
5.1%
1 37
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 643
83.4%
Dash Punctuation 128
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
17.6%
6 96
14.9%
4 92
14.3%
7 92
14.3%
2 53
8.2%
3 47
7.3%
9 42
 
6.5%
8 39
 
6.1%
1 37
 
5.8%
5 32
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 771
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 128
16.6%
0 113
14.7%
6 96
12.5%
4 92
11.9%
7 92
11.9%
2 53
6.9%
3 47
 
6.1%
9 42
 
5.4%
8 39
 
5.1%
1 37
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 771
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 128
16.6%
0 113
14.7%
6 96
12.5%
4 92
11.9%
7 92
11.9%
2 53
6.9%
3 47
 
6.1%
9 42
 
5.4%
8 39
 
5.1%
1 37
 
4.8%

종사자 정원
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
2
46 
3
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row3
4th row2
5th row3

Common Values

ValueCountFrequency (%)
2 46
71.9%
3 18
 
28.1%

Length

2023-12-12T21:05:56.582160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:56.674247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 46
71.9%
3 18
 
28.1%

아동 정원
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum19
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T21:05:56.785151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median29
Q332
95-th percentile39
Maximum40
Range21
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.6380337
Coefficient of variation (CV)0.23707263
Kurtosis-0.88967052
Mean28
Median Absolute Deviation (MAD)4.5
Skewness-0.023527656
Sum1792
Variance44.063492
MonotonicityNot monotonic
2023-12-12T21:05:56.932228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
29 26
40.6%
19 18
28.1%
35 6
 
9.4%
40 3
 
4.7%
39 3
 
4.7%
32 2
 
3.1%
34 1
 
1.6%
38 1
 
1.6%
33 1
 
1.6%
25 1
 
1.6%
Other values (2) 2
 
3.1%
ValueCountFrequency (%)
19 18
28.1%
25 1
 
1.6%
27 1
 
1.6%
28 1
 
1.6%
29 26
40.6%
32 2
 
3.1%
33 1
 
1.6%
34 1
 
1.6%
35 6
 
9.4%
38 1
 
1.6%
ValueCountFrequency (%)
40 3
 
4.7%
39 3
 
4.7%
38 1
 
1.6%
35 6
 
9.4%
34 1
 
1.6%
33 1
 
1.6%
32 2
 
3.1%
29 26
40.6%
28 1
 
1.6%
27 1
 
1.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
2022-11-17
64 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-17
2nd row2022-11-17
3rd row2022-11-17
4th row2022-11-17
5th row2022-11-17

Common Values

ValueCountFrequency (%)
2022-11-17 64
100.0%

Length

2023-12-12T21:05:57.056520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:57.146966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-17 64
100.0%

Interactions

2023-12-12T21:05:52.231369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:05:52.045048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:05:52.335053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:05:52.149294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:05:57.211555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정시행정동시설명소재지우편번호전화번호종사자 정원아동 정원
행정시1.0001.0001.0001.0001.0001.0000.0000.296
행정동1.0001.0001.0001.0000.9901.0000.1360.485
시설명1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
우편번호1.0000.9901.0001.0001.0001.0000.2570.349
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
종사자 정원0.0000.1361.0001.0000.2571.0001.0000.890
아동 정원0.2960.4851.0001.0000.3491.0000.8901.000
2023-12-12T21:05:57.331051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종사자 정원행정시
종사자 정원1.0000.000
행정시0.0001.000
2023-12-12T21:05:57.412164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호아동 정원행정시종사자 정원
우편번호1.0000.0570.9420.163
아동 정원0.0571.0000.3020.919
행정시0.9420.3021.0000.000
종사자 정원0.1630.9190.0001.000

Missing values

2023-12-12T21:05:52.450324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:05:52.621796image/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

행정시행정동시설명소재지우편번호전화번호종사자 정원아동 정원데이터기준일자
0제주시노형동더불어숲지역아동센터제주특별자치도 제주시 일주서로 7774-163095064-711-50252292022-11-17
1제주시삼도2동우리동네지역아동센터제주특별자치도 제주시 관덕로 3563168064-721-82193402022-11-17
2제주시일도2동제일지역아동센터제주특별자치도 제주시 천수동로 263256064-756-18783402022-11-17
3제주시구좌읍우리하도지역아동센터제주특별자치도 제주시 일주동로 340063363064-784-28182292022-11-17
4제주시구좌읍해바라기지역아동센터제주특별자치도 제주시 평대13길 4663360064-782-17423352022-11-17
5제주시한림읍한사랑지역아동센터제주특별자치도 제주시 명랑남동길 2563028064-796-66922292022-11-17
6제주시한경면청수지역아동센터제주특별자치도 제주시 중산간서로 3481-663006064-772-30063342022-11-17
7제주시삼양동홍익지역아동센터제주특별자치도 제주시 매촌서1길 1063326064-756-08452192022-11-17
8제주시우도면우도지역아동센터제주특별자치도 제주시 우도로 20163365064-782-40902292022-11-17
9제주시조천읍신촌지역아동센터제주특별자치도 제주시 신촌북1길 2763337064-784-17292292022-11-17
행정시행정동시설명소재지우편번호전화번호종사자 정원아동 정원데이터기준일자
54서귀포시표선면성읍지역아동센터제주특별자치도 서귀포시 표선관정로 105-263629064-787-82432292022-11-17
55서귀포시천지동소망지역아동센터제주특별자치도 서귀포시 중정로 95-963591064-733-33832292022-11-17
56서귀포시성산읍신풍지역아동센터제주특별자치도 서귀포시 신풍상동로14번길 663636064-782-95732292022-11-17
57서귀포시남원읍신흥지역아동센터제주특별자치도 서귀포시 신흥로 2263616064-764-40932292022-11-17
58서귀포시동홍동아름다운지역아동센터제주특별자치도 서귀포시 동홍중앙로52번길 4263587064-767-37902272022-11-17
59서귀포시안덕면안덕지역아동센터제주특별자치도 서귀포시 화순서서로7번길 1663529064-792-82532292022-11-17
60서귀포시동홍동온누리지역아동센터제주특별자치도 서귀포시 태평로512번길 963597064-767-06882282022-11-17
61서귀포시남원읍위미지역아동센터제주특별자치도 서귀포시 태위로115번길 1663611064-764-82572292022-11-17
62서귀포시중문동중문제일행복한홈스쿨지역아동센터제주특별자치도 서귀포시 1100로49번길 1163545064-738-03012292022-11-17
63서귀포시중문동중문지역아동센터제주특별자치도 서귀포시 중문로105번길 1463539064-738-56153352022-11-17