Overview

Dataset statistics

Number of variables10
Number of observations149
Missing cells33
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory80.9 B

Variable types

Categorical4
Text5
DateTime1

Dataset

Description울산광역시 남구 어린이집(시도명, 시군구명, 어린이집명, 어린이집유형구분, 우편번호, 상세주소, 어린이집전화번호, 어린이집팩스번호,인가일, 데이터기준일자)에 관한 데이터입니다.
Author울산광역시 남구
URLhttps://www.data.go.kr/data/15112301/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
어린이집팩스번호 has 33 (22.1%) missing valuesMissing
어린이집명 has unique valuesUnique
상세주소 has unique valuesUnique
어린이집전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:19:51.767013
Analysis finished2024-03-14 16:19:53.042906
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
울산광역시
149 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 149
100.0%

Length

2024-03-15T01:19:53.180210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:19:53.496536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 149
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
남구
149 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 149
100.0%

Length

2024-03-15T01:19:53.854030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:19:54.169560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 149
100.0%

어린이집명
Text

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T01:19:55.028732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length7.8389262
Min length6

Characters and Unicode

Total characters1168
Distinct characters233
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

Unique149 ?
Unique (%)100.0%

Sample

1st rowABC어린이집
2nd rowBNK울산어린이집
3rd rowSK행복(수암점)어린이집
4th rowSK행복어린이집
5th row가인어린이집
ValueCountFrequency (%)
어린이집 6
 
3.7%
abc어린이집 1
 
0.6%
아이파크열린어린이집 1
 
0.6%
수암나우어린이집 1
 
0.6%
어깨동무어린이집 1
 
0.6%
에쓰-오일 1
 
0.6%
에코하이츠어린이집 1
 
0.6%
예닮어린이집 1
 
0.6%
예랑어린이집 1
 
0.6%
예슬어린이집 1
 
0.6%
Other values (146) 146
90.7%
2024-03-15T01:19:56.479053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
14.0%
151
 
12.9%
150
 
12.8%
149
 
12.8%
13
 
1.1%
12
 
1.0%
12
 
1.0%
12
 
1.0%
11
 
0.9%
10
 
0.9%
Other values (223) 484
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1119
95.8%
Lowercase Letter 17
 
1.5%
Space Separator 12
 
1.0%
Uppercase Letter 10
 
0.9%
Decimal Number 5
 
0.4%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
164
 
14.7%
151
 
13.5%
150
 
13.4%
149
 
13.3%
13
 
1.2%
12
 
1.1%
12
 
1.1%
11
 
1.0%
10
 
0.9%
8
 
0.7%
Other values (199) 439
39.2%
Lowercase Letter
ValueCountFrequency (%)
h 3
17.6%
a 2
11.8%
w 2
11.8%
b 2
11.8%
y 2
11.8%
o 2
11.8%
s 1
 
5.9%
t 1
 
5.9%
c 1
 
5.9%
l 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
K 3
30.0%
B 2
20.0%
S 2
20.0%
A 1
 
10.0%
N 1
 
10.0%
C 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
4 1
20.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1119
95.8%
Latin 27
 
2.3%
Common 22
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
164
 
14.7%
151
 
13.5%
150
 
13.4%
149
 
13.3%
13
 
1.2%
12
 
1.1%
12
 
1.1%
11
 
1.0%
10
 
0.9%
8
 
0.7%
Other values (199) 439
39.2%
Latin
ValueCountFrequency (%)
h 3
11.1%
K 3
11.1%
a 2
 
7.4%
w 2
 
7.4%
b 2
 
7.4%
y 2
 
7.4%
B 2
 
7.4%
o 2
 
7.4%
S 2
 
7.4%
A 1
 
3.7%
Other values (6) 6
22.2%
Common
ValueCountFrequency (%)
12
54.5%
& 2
 
9.1%
2 2
 
9.1%
1 2
 
9.1%
- 1
 
4.5%
4 1
 
4.5%
) 1
 
4.5%
( 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1119
95.8%
ASCII 49
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
164
 
14.7%
151
 
13.5%
150
 
13.4%
149
 
13.3%
13
 
1.2%
12
 
1.1%
12
 
1.1%
11
 
1.0%
10
 
0.9%
8
 
0.7%
Other values (199) 439
39.2%
ASCII
ValueCountFrequency (%)
12
24.5%
h 3
 
6.1%
K 3
 
6.1%
a 2
 
4.1%
w 2
 
4.1%
b 2
 
4.1%
y 2
 
4.1%
B 2
 
4.1%
o 2
 
4.1%
& 2
 
4.1%
Other values (14) 17
34.7%
Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
민간
61 
가정
50 
국공립
26 
직장
협동
 
2

Length

Max length6
Median length2
Mean length2.2013423
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
민간 61
40.9%
가정 50
33.6%
국공립 26
17.4%
직장 9
 
6.0%
협동 2
 
1.3%
사회복지법인 1
 
0.7%

Length

2024-03-15T01:19:57.033769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:19:57.342886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 61
40.9%
가정 50
33.6%
국공립 26
17.4%
직장 9
 
6.0%
협동 2
 
1.3%
사회복지법인 1
 
0.7%
Distinct88
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T01:19:58.922966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0134228
Min length5

Characters and Unicode

Total characters747
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

Unique52 ?
Unique (%)34.9%

Sample

1st row44712
2nd row44690
3rd row44749
4th row44764
5th row44613
ValueCountFrequency (%)
44774 7
 
4.7%
44733 7
 
4.7%
44603 5
 
3.4%
44773 4
 
2.7%
44700 3
 
2.0%
44656 3
 
2.0%
44612 3
 
2.0%
44710 3
 
2.0%
44684 3
 
2.0%
44763 3
 
2.0%
Other values (78) 108
72.5%
2024-03-15T01:20:00.950233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 329
44.0%
7 118
 
15.8%
6 90
 
12.0%
3 51
 
6.8%
0 34
 
4.6%
1 34
 
4.6%
5 30
 
4.0%
2 24
 
3.2%
8 20
 
2.7%
9 16
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 746
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 329
44.1%
7 118
 
15.8%
6 90
 
12.1%
3 51
 
6.8%
0 34
 
4.6%
1 34
 
4.6%
5 30
 
4.0%
2 24
 
3.2%
8 20
 
2.7%
9 16
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 747
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 329
44.0%
7 118
 
15.8%
6 90
 
12.0%
3 51
 
6.8%
0 34
 
4.6%
1 34
 
4.6%
5 30
 
4.0%
2 24
 
3.2%
8 20
 
2.7%
9 16
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 747
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 329
44.0%
7 118
 
15.8%
6 90
 
12.0%
3 51
 
6.8%
0 34
 
4.6%
1 34
 
4.6%
5 30
 
4.0%
2 24
 
3.2%
8 20
 
2.7%
9 16
 
2.1%

상세주소
Text

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T01:20:02.032622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length30.959732
Min length15

Characters and Unicode

Total characters4613
Distinct characters165
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)100.0%

Sample

1st row울산광역시 남구 남중로80번길 15 (삼산동)
2nd row울산광역시 남구 중앙로 202 3층
3rd row울산광역시 남구 중앙로28번길 7
4th row울산광역시 남구 신선로 166 (야음동)
5th row울산광역시 남구 옥현로 92-12 201동 101호(무거동, 옥현주공2단지)
ValueCountFrequency (%)
울산광역시 149
 
17.6%
남구 149
 
17.6%
신정동 17
 
2.0%
무거동 12
 
1.4%
관리동 12
 
1.4%
대암로 11
 
1.3%
삼산동 9
 
1.1%
달동 8
 
0.9%
옥현로 7
 
0.8%
야음동 6
 
0.7%
Other values (308) 465
55.0%
2024-03-15T01:20:03.629419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
696
 
15.1%
1 254
 
5.5%
190
 
4.1%
179
 
3.9%
156
 
3.4%
153
 
3.3%
152
 
3.3%
151
 
3.3%
150
 
3.3%
149
 
3.2%
Other values (155) 2383
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2724
59.1%
Decimal Number 904
 
19.6%
Space Separator 696
 
15.1%
Close Punctuation 106
 
2.3%
Open Punctuation 105
 
2.3%
Other Punctuation 49
 
1.1%
Dash Punctuation 27
 
0.6%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
190
 
7.0%
179
 
6.6%
156
 
5.7%
153
 
5.6%
152
 
5.6%
151
 
5.5%
150
 
5.5%
149
 
5.5%
149
 
5.5%
115
 
4.2%
Other values (138) 1180
43.3%
Decimal Number
ValueCountFrequency (%)
1 254
28.1%
2 137
15.2%
0 123
13.6%
3 93
 
10.3%
4 72
 
8.0%
6 48
 
5.3%
5 48
 
5.3%
8 47
 
5.2%
9 45
 
5.0%
7 37
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
696
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2724
59.1%
Common 1887
40.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
190
 
7.0%
179
 
6.6%
156
 
5.7%
153
 
5.6%
152
 
5.6%
151
 
5.5%
150
 
5.5%
149
 
5.5%
149
 
5.5%
115
 
4.2%
Other values (138) 1180
43.3%
Common
ValueCountFrequency (%)
696
36.9%
1 254
 
13.5%
2 137
 
7.3%
0 123
 
6.5%
) 106
 
5.6%
( 105
 
5.6%
3 93
 
4.9%
4 72
 
3.8%
, 49
 
2.6%
6 48
 
2.5%
Other values (5) 204
 
10.8%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2724
59.1%
ASCII 1889
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
696
36.8%
1 254
 
13.4%
2 137
 
7.3%
0 123
 
6.5%
) 106
 
5.6%
( 105
 
5.6%
3 93
 
4.9%
4 72
 
3.8%
, 49
 
2.6%
6 48
 
2.5%
Other values (7) 206
 
10.9%
Hangul
ValueCountFrequency (%)
190
 
7.0%
179
 
6.6%
156
 
5.7%
153
 
5.6%
152
 
5.6%
151
 
5.5%
150
 
5.5%
149
 
5.5%
149
 
5.5%
115
 
4.2%
Other values (138) 1180
43.3%
Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T01:20:04.742841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.033557
Min length12

Characters and Unicode

Total characters1793
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

Unique149 ?
Unique (%)100.0%

Sample

1st row052-227-2372
2nd row052-256-6625
3rd row052-265-3327
4th row052-276-3854
5th row052-222-1889
ValueCountFrequency (%)
052-227-2372 1
 
0.7%
052-931-3131 1
 
0.7%
052-268-9159 1
 
0.7%
052-269-7949 1
 
0.7%
052-227-7588 1
 
0.7%
052-227-0786 1
 
0.7%
052-276-7740 1
 
0.7%
052-272-3579 1
 
0.7%
052-273-4045 1
 
0.7%
052-223-3365 1
 
0.7%
Other values (139) 139
93.3%
2024-03-15T01:20:06.041371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 356
19.9%
- 298
16.6%
5 250
13.9%
0 246
13.7%
6 135
 
7.5%
7 134
 
7.5%
3 84
 
4.7%
9 75
 
4.2%
1 74
 
4.1%
4 71
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1495
83.4%
Dash Punctuation 298
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 356
23.8%
5 250
16.7%
0 246
16.5%
6 135
 
9.0%
7 134
 
9.0%
3 84
 
5.6%
9 75
 
5.0%
1 74
 
4.9%
4 71
 
4.7%
8 70
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 298
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1793
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 356
19.9%
- 298
16.6%
5 250
13.9%
0 246
13.7%
6 135
 
7.5%
7 134
 
7.5%
3 84
 
4.7%
9 75
 
4.2%
1 74
 
4.1%
4 71
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1793
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 356
19.9%
- 298
16.6%
5 250
13.9%
0 246
13.7%
6 135
 
7.5%
7 134
 
7.5%
3 84
 
4.7%
9 75
 
4.2%
1 74
 
4.1%
4 71
 
4.0%
Distinct116
Distinct (%)100.0%
Missing33
Missing (%)22.1%
Memory size1.3 KiB
2024-03-15T01:20:07.183853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.060345
Min length12

Characters and Unicode

Total characters1399
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

Unique116 ?
Unique (%)100.0%

Sample

1st row070-7545-2372
2nd row052-256-6695
3rd row052-276-3851
4th row052-269-1376
5th row052-265-7369
ValueCountFrequency (%)
052-905-3100 1
 
0.9%
052-249-1797 1
 
0.9%
052-269-9150 1
 
0.9%
052-223-9013 1
 
0.9%
052-216-8074 1
 
0.9%
052-274-2174 1
 
0.9%
052-275-4413 1
 
0.9%
052-227-5009 1
 
0.9%
052-247-4201 1
 
0.9%
052-222-2295 1
 
0.9%
Other values (106) 106
91.4%
2024-03-15T01:20:08.629920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 268
19.2%
- 232
16.6%
5 195
13.9%
0 190
13.6%
6 114
8.1%
7 102
 
7.3%
9 63
 
4.5%
3 62
 
4.4%
1 58
 
4.1%
8 58
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1167
83.4%
Dash Punctuation 232
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 268
23.0%
5 195
16.7%
0 190
16.3%
6 114
9.8%
7 102
 
8.7%
9 63
 
5.4%
3 62
 
5.3%
1 58
 
5.0%
8 58
 
5.0%
4 57
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1399
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 268
19.2%
- 232
16.6%
5 195
13.9%
0 190
13.6%
6 114
8.1%
7 102
 
7.3%
9 63
 
4.5%
3 62
 
4.4%
1 58
 
4.1%
8 58
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1399
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 268
19.2%
- 232
16.6%
5 195
13.9%
0 190
13.6%
6 114
8.1%
7 102
 
7.3%
9 63
 
4.5%
3 62
 
4.4%
1 58
 
4.1%
8 58
 
4.1%
Distinct144
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1982-01-10 00:00:00
Maximum2023-08-14 00:00:00
2024-03-15T01:20:09.028598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:20:09.388778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-02-14
149 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-14
2nd row2024-02-14
3rd row2024-02-14
4th row2024-02-14
5th row2024-02-14

Common Values

ValueCountFrequency (%)
2024-02-14 149
100.0%

Length

2024-03-15T01:20:09.628470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:20:09.841763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-14 149
100.0%

Correlations

2024-03-15T01:20:10.018762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집유형우편번호
어린이집유형1.0000.245
우편번호0.2451.000

Missing values

2024-03-15T01:19:52.433811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:19:52.909927image/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

시도명시군구명어린이집명어린이집유형우편번호상세주소어린이집전화번호어린이집팩스번호인가일데이터기준일자
0울산광역시남구ABC어린이집민간44712울산광역시 남구 남중로80번길 15 (삼산동)052-227-2372070-7545-23722010-06-042024-02-14
1울산광역시남구BNK울산어린이집직장44690울산광역시 남구 중앙로 202 3층052-256-6625052-256-66952016-03-292024-02-14
2울산광역시남구SK행복(수암점)어린이집직장44749울산광역시 남구 중앙로28번길 7052-265-3327<NA>2023-02-282024-02-14
3울산광역시남구SK행복어린이집직장44764울산광역시 남구 신선로 166 (야음동)052-276-3854052-276-38512007-09-122024-02-14
4울산광역시남구가인어린이집가정44613울산광역시 남구 옥현로 92-12 201동 101호(무거동, 옥현주공2단지)052-222-1889<NA>2004-02-072024-02-14
5울산광역시남구강남어린이집국공립44688울산광역시 남구 신정로126번길 2 (신정동)052-269-1366052-269-13761994-11-302024-02-14
6울산광역시남구강변하이츠어린이집민간44680울산광역시 남구 중앙로290번길 53 관리동052-266-7369052-265-73692020-03-262024-02-14
7울산광역시남구경희영재어린이집민간44703울산광역시 남구 돋질로206번길 20 (달동)052-272-0095052-266-48632004-08-022024-02-14
8울산광역시남구경희예능어린이집민간44681울산광역시 남구 팔등로109번길 14-1052-269-9794<NA>1999-09-292024-02-14
9울산광역시남구궁거랑어린이집가정44633울산광역시 남구 삼호로7번길 27 (무거동)052-247-6005052-247-60052000-07-182024-02-14
시도명시군구명어린이집명어린이집유형우편번호상세주소어린이집전화번호어린이집팩스번호인가일데이터기준일자
139울산광역시남구함께하는어린이집민간44628울산광역시 남구 남산로12번길 10 (무거동)052-249-5274052-247-52741995-03-022024-02-14
140울산광역시남구햇님어린이집가정44699울산광역시 남구 돋질로261번길 32 103동 102호(삼산동, 우성)070-8223-2760<NA>2010-08-032024-02-14
141울산광역시남구행복나라어린이집민간44645울산광역시 남구 법대로95번길 20 (옥동)052-266-2862052-266-28621995-10-092024-02-14
142울산광역시남구행복한어린이집가정44737울산광역시 남구 수암로129번길 25 302동 112호(신정동, 신정현대홈타운3차아파트)052-269-19590504-094-27022006-10-192024-02-14
143울산광역시남구호반늘봄어린이집국공립44776울산광역시 남구 테크노산업로44번길 50052-261-7590052-261-75982020-05-192024-02-14
144울산광역시남구호반숲어린이집국공립44776울산광역시 남구 테크노산업로82번길 52052-266-3340052-258-33402020-07-012024-02-14
145울산광역시남구호반해와달어린이집가정44776울산광역시 남구 테크노산업로82번길 62 3단지 관리동070-7868-1005070-7868-10052021-01-142024-02-14
146울산광역시남구호수루첸어린이집국공립44764울산광역시 남구 신선로 186 관리동(야음동, 호수공원대명루첸아파트)052-956-3003052-956-30022021-12-212024-02-14
147울산광역시남구홈타운영아어린이집가정44733울산광역시 남구 대암로 82 203동 101호(야음동, 신정현대홈타운2차아파트)052-266-5515<NA>2004-10-192024-02-14
148울산광역시남구힐스테이트도담어린이집국공립44745울산광역시 남구 중앙로47번길 27 1단지 관리동052-258-4875052-258-48752020-10-132024-02-14