Overview

Dataset statistics

Number of variables7
Number of observations163
Missing cells90
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory56.8 B

Variable types

Text4
Categorical2
DateTime1

Dataset

Description울산광역시 남구 평생교육기관현황에 대한 데이터로 시설명, 소재지도로명주소, 전화번호, 홈페이지 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3076211/fileData.do

Alerts

홈페이지 has 90 (55.2%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:04:57.810520
Analysis finished2023-12-12 09:04:58.373272
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T18:04:58.581989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length8.2699387
Min length3

Characters and Unicode

Total characters1348
Distinct characters200
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)100.0%

Sample

1st row옥산초등학교
2nd row선암동 주민자치센터
3rd row태화중학교
4th row울산여자상업고등학교
5th row삼일여자고등학교
ValueCountFrequency (%)
주민자치센터 12
 
5.9%
마을문고 6
 
2.9%
울산대학교 4
 
2.0%
문고 3
 
1.5%
작은도서관 3
 
1.5%
울산광역시 3
 
1.5%
야음장생포동 2
 
1.0%
신정4동 2
 
1.0%
삼산동 2
 
1.0%
평생교육원 2
 
1.0%
Other values (163) 166
81.0%
2023-12-12T18:04:59.072985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 80
 
5.9%
학 72
 
5.3%
산 60
 
4.5%
울 50
 
3.7%
등 45
 
3.3%
42
 
3.1%
터 38
 
2.8%
센 38
 
2.8%
동 35
 
2.6%
문 33
 
2.4%
Other values (190) 855
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1266
93.9%
Space Separator 42
 
3.1%
Decimal Number 12
 
0.9%
Open Punctuation 9
 
0.7%
Close Punctuation 9
 
0.7%
Uppercase Letter 7
 
0.5%
Final Punctuation 1
 
0.1%
Initial Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 80
 
6.3%
학 72
 
5.7%
산 60
 
4.7%
울 50
 
3.9%
등 45
 
3.6%
터 38
 
3.0%
센 38
 
3.0%
동 35
 
2.8%
문 33
 
2.6%
초 30
 
2.4%
Other values (173) 785
62.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
Y 1
14.3%
A 1
14.3%
W 1
14.3%
K 1
14.3%
H 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
1 3
25.0%
3 2
16.7%
4 2
16.7%
5 1
 
8.3%
Space Separator
ValueCountFrequency (%)
42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1265
93.8%
Common 75
 
5.6%
Latin 7
 
0.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 80
 
6.3%
학 72
 
5.7%
산 60
 
4.7%
울 50
 
4.0%
등 45
 
3.6%
터 38
 
3.0%
센 38
 
3.0%
동 35
 
2.8%
문 33
 
2.6%
초 30
 
2.4%
Other values (172) 784
62.0%
Common
ValueCountFrequency (%)
42
56.0%
( 9
 
12.0%
) 9
 
12.0%
2 4
 
5.3%
1 3
 
4.0%
3 2
 
2.7%
4 2
 
2.7%
’ 1
 
1.3%
‘ 1
 
1.3%
/ 1
 
1.3%
Latin
ValueCountFrequency (%)
C 2
28.6%
Y 1
14.3%
A 1
14.3%
W 1
14.3%
K 1
14.3%
H 1
14.3%
Han
ValueCountFrequency (%)
休 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1265
93.8%
ASCII 80
 
5.9%
Punctuation 2
 
0.1%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 80
 
6.3%
학 72
 
5.7%
산 60
 
4.7%
울 50
 
4.0%
등 45
 
3.6%
터 38
 
3.0%
센 38
 
3.0%
동 35
 
2.8%
문 33
 
2.6%
초 30
 
2.4%
Other values (172) 784
62.0%
ASCII
ValueCountFrequency (%)
42
52.5%
( 9
 
11.2%
) 9
 
11.2%
2 4
 
5.0%
1 3
 
3.8%
C 2
 
2.5%
3 2
 
2.5%
4 2
 
2.5%
Y 1
 
1.2%
/ 1
 
1.2%
Other values (5) 5
 
6.2%
CJK
ValueCountFrequency (%)
休 1
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

동 구분
Categorical

Distinct14
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
무거동
24 
옥동
17 
삼산동
16 
달동
15 
대현동
14 
Other values (9)
77 

Length

Max length6
Median length4
Mean length3.3190184
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무거동
2nd row선암동
3rd row야음장생포동
4th row신정4동
5th row선암동

Common Values

ValueCountFrequency (%)
무거동 24
14.7%
옥동 17
10.4%
삼산동 16
9.8%
달동 15
9.2%
대현동 14
8.6%
신정3동 14
8.6%
야음장생포동 13
8.0%
신정4동 12
7.4%
삼호동 9
 
5.5%
신정1동 8
 
4.9%
Other values (4) 21
12.9%

Length

2023-12-12T18:04:59.244453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무거동 24
14.7%
옥동 17
10.4%
삼산동 16
9.8%
달동 15
9.2%
대현동 14
8.6%
신정3동 14
8.6%
야음장생포동 13
8.0%
신정4동 12
7.4%
삼호동 9
 
5.5%
신정1동 8
 
4.9%
Other values (4) 21
12.9%

소재지도로명주소
Text

Distinct157
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T18:04:59.635288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length22.558282
Min length15

Characters and Unicode

Total characters3677
Distinct characters138
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

Unique151 ?
Unique (%)92.6%

Sample

1st row울산광역시 남구 옥현로60번길 7 (무거동)
2nd row울산광역시 남구 산업로 325번길 34
3rd row울산광역시 남구 화합로71번길 24 (야음동)
4th row울산광역시 남구 두왕로 304 (신정동)
5th row울산광역시 남구 두왕로190번길 59 (선암동)
ValueCountFrequency (%)
울산광역시 163
20.9%
남구 163
20.9%
신정동 17
 
2.2%
무거동 13
 
1.7%
수암로 12
 
1.5%
야음동 11
 
1.4%
돋질로 9
 
1.2%
문수로 9
 
1.2%
옥동 8
 
1.0%
달동 6
 
0.8%
Other values (242) 370
47.4%
2023-12-12T18:05:00.197818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
657
17.9%
산 199
 
5.4%
남 170
 
4.6%
울 167
 
4.5%
역 165
 
4.5%
광 164
 
4.5%
구 164
 
4.5%
시 163
 
4.4%
로 162
 
4.4%
1 123
 
3.3%
Other values (128) 1543
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2233
60.7%
Space Separator 657
 
17.9%
Decimal Number 582
 
15.8%
Close Punctuation 92
 
2.5%
Open Punctuation 92
 
2.5%
Dash Punctuation 15
 
0.4%
Other Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 199
 
8.9%
남 170
 
7.6%
울 167
 
7.5%
역 165
 
7.4%
광 164
 
7.3%
구 164
 
7.3%
시 163
 
7.3%
로 162
 
7.3%
동 96
 
4.3%
번 89
 
4.0%
Other values (112) 694
31.1%
Decimal Number
ValueCountFrequency (%)
1 123
21.1%
2 86
14.8%
3 80
13.7%
4 70
12.0%
6 44
 
7.6%
9 43
 
7.4%
8 40
 
6.9%
5 40
 
6.9%
7 31
 
5.3%
0 25
 
4.3%
Space Separator
ValueCountFrequency (%)
657
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2233
60.7%
Common 1441
39.2%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 199
 
8.9%
남 170
 
7.6%
울 167
 
7.5%
역 165
 
7.4%
광 164
 
7.3%
구 164
 
7.3%
시 163
 
7.3%
로 162
 
7.3%
동 96
 
4.3%
번 89
 
4.0%
Other values (112) 694
31.1%
Common
ValueCountFrequency (%)
657
45.6%
1 123
 
8.5%
) 92
 
6.4%
( 92
 
6.4%
2 86
 
6.0%
3 80
 
5.6%
4 70
 
4.9%
6 44
 
3.1%
9 43
 
3.0%
8 40
 
2.8%
Other values (5) 114
 
7.9%
Latin
ValueCountFrequency (%)
A 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2233
60.7%
ASCII 1444
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
657
45.5%
1 123
 
8.5%
) 92
 
6.4%
( 92
 
6.4%
2 86
 
6.0%
3 80
 
5.5%
4 70
 
4.8%
6 44
 
3.0%
9 43
 
3.0%
8 40
 
2.8%
Other values (6) 117
 
8.1%
Hangul
ValueCountFrequency (%)
산 199
 
8.9%
남 170
 
7.6%
울 167
 
7.5%
역 165
 
7.4%
광 164
 
7.3%
구 164
 
7.3%
시 163
 
7.3%
로 162
 
7.3%
동 96
 
4.3%
번 89
 
4.0%
Other values (112) 694
31.1%

전화번호
Text

Distinct158
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T18:05:00.529824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02454
Min length11

Characters and Unicode

Total characters1960
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)93.9%

Sample

1st row052-223-5160
2nd row052-226-2804
3rd row070-8277-7800
4th row052-257-2301
5th row052-276-4414
ValueCountFrequency (%)
052-226-2612 2
 
1.2%
052-274-4560 2
 
1.2%
052-226-2797 2
 
1.2%
052-261-2823 2
 
1.2%
052-268-2823 2
 
1.2%
052-267-1365 2
 
1.2%
052-267-3883 1
 
0.6%
052-226-2625 1
 
0.6%
052-223-5160 1
 
0.6%
052-247-3740 1
 
0.6%
Other values (147) 147
90.2%
2023-12-12T18:05:01.137691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 476
24.3%
- 325
16.6%
0 263
13.4%
5 263
13.4%
6 146
 
7.4%
7 142
 
7.2%
1 86
 
4.4%
3 77
 
3.9%
8 67
 
3.4%
9 56
 
2.9%
Other values (2) 59
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1631
83.2%
Dash Punctuation 325
 
16.6%
Space Separator 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 476
29.2%
0 263
16.1%
5 263
16.1%
6 146
 
9.0%
7 142
 
8.7%
1 86
 
5.3%
3 77
 
4.7%
8 67
 
4.1%
9 56
 
3.4%
4 55
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 325
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1960
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 476
24.3%
- 325
16.6%
0 263
13.4%
5 263
13.4%
6 146
 
7.4%
7 142
 
7.2%
1 86
 
4.4%
3 77
 
3.9%
8 67
 
3.4%
9 56
 
2.9%
Other values (2) 59
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 476
24.3%
- 325
16.6%
0 263
13.4%
5 263
13.4%
6 146
 
7.4%
7 142
 
7.2%
1 86
 
4.4%
3 77
 
3.9%
8 67
 
3.4%
9 56
 
2.9%
Other values (2) 59
 
3.0%

홈페이지
Text

MISSING 

Distinct73
Distinct (%)100.0%
Missing90
Missing (%)55.2%
Memory size1.4 KiB
2023-12-12T18:05:01.548648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length43
Mean length33.780822
Min length18

Characters and Unicode

Total characters2466
Distinct characters50
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ulsannamgu.go.kr/dong/sunam/
2nd rowwww.ulsangch.hs.kr
3rd rowhttps://www.ulsannamgu.go.kr/dong/ok/
4th rowhttps://www.ulsannamgu.go.kr/cmm/main/mainPage.do
5th rowhttp://www.uimc.or.kr/institution/InstitutionHome/FamilycultureCenter/main/main.php
ValueCountFrequency (%)
https://www.ulsannamgu.go.kr/dong/sinjung2 1
 
1.4%
http://www.liveinkorea.kr/center/default.asp?pzt=ct&cc=ulsannamgu 1
 
1.4%
http://www.ulsansenior.org 1
 
1.4%
http://dosansenior.or.kr 1
 
1.4%
http://www.ubr.or.kr 1
 
1.4%
http://www.betogether.or.kr 1
 
1.4%
https://www.ulsannamgu.go.kr/dong/suam 1
 
1.4%
https://www.ulsannamgu.go.kr/dong/yajang 1
 
1.4%
http://www.ng518.kr 1
 
1.4%
http://www.ushrd.or.kr 1
 
1.4%
Other values (63) 63
86.3%
2023-12-12T18:05:02.101813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 253
 
10.3%
. 209
 
8.5%
t 185
 
7.5%
w 147
 
6.0%
n 146
 
5.9%
a 141
 
5.7%
u 117
 
4.7%
o 114
 
4.6%
s 109
 
4.4%
r 109
 
4.4%
Other values (40) 936
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1861
75.5%
Other Punctuation 537
 
21.8%
Decimal Number 46
 
1.9%
Uppercase Letter 14
 
0.6%
Connector Punctuation 4
 
0.2%
Math Symbol 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 185
 
9.9%
w 147
 
7.9%
n 146
 
7.8%
a 141
 
7.6%
u 117
 
6.3%
o 114
 
6.1%
s 109
 
5.9%
r 109
 
5.9%
p 99
 
5.3%
h 98
 
5.3%
Other values (15) 596
32.0%
Decimal Number
ValueCountFrequency (%)
0 9
19.6%
1 8
17.4%
8 8
17.4%
3 6
13.0%
2 5
10.9%
5 3
 
6.5%
4 3
 
6.5%
9 2
 
4.3%
7 2
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 4
28.6%
T 2
14.3%
M 2
14.3%
P 2
14.3%
L 1
 
7.1%
F 1
 
7.1%
I 1
 
7.1%
H 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
/ 253
47.1%
. 209
38.9%
: 72
 
13.4%
? 2
 
0.4%
& 1
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1875
76.0%
Common 591
 
24.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 185
 
9.9%
w 147
 
7.8%
n 146
 
7.8%
a 141
 
7.5%
u 117
 
6.2%
o 114
 
6.1%
s 109
 
5.8%
r 109
 
5.8%
p 99
 
5.3%
h 98
 
5.2%
Other values (23) 610
32.5%
Common
ValueCountFrequency (%)
/ 253
42.8%
. 209
35.4%
: 72
 
12.2%
0 9
 
1.5%
1 8
 
1.4%
8 8
 
1.4%
3 6
 
1.0%
2 5
 
0.8%
_ 4
 
0.7%
5 3
 
0.5%
Other values (7) 14
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2466
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 253
 
10.3%
. 209
 
8.5%
t 185
 
7.5%
w 147
 
6.0%
n 146
 
5.9%
a 141
 
5.7%
u 117
 
4.7%
o 114
 
4.6%
s 109
 
4.4%
r 109
 
4.4%
Other values (40) 936
38.0%

분야
Categorical

Distinct12
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
초등학교
30 
공공도서관
22 
시민사회단체부설
20 
사회복지시설
18 
중학교
16 
Other values (7)
57 

Length

Max length8
Median length6
Mean length5.0245399
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row초등학교
2nd row주민자치센터
3rd row중학교
4th row고등학교
5th row고등학교

Common Values

ValueCountFrequency (%)
초등학교 30
18.4%
공공도서관 22
13.5%
시민사회단체부설 20
12.3%
사회복지시설 18
11.0%
중학교 16
9.8%
고등학교 15
9.2%
주민자치센터 12
 
7.4%
공공기관 12
 
7.4%
기업체부설 8
 
4.9%
문화관련시설 7
 
4.3%
Other values (2) 3
 
1.8%

Length

2023-12-12T18:05:02.275532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
초등학교 30
18.4%
공공도서관 22
13.5%
시민사회단체부설 20
12.3%
사회복지시설 18
11.0%
중학교 16
9.8%
고등학교 15
9.2%
주민자치센터 12
 
7.4%
공공기관 12
 
7.4%
기업체부설 8
 
4.9%
문화관련시설 7
 
4.3%
Other values (2) 3
 
1.8%

등록일시
Date

Distinct7
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2012-05-30 00:00:00
Maximum2014-09-16 00:00:00
2023-12-12T18:05:02.697345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:05:02.801269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

Correlations

2023-12-12T18:05:02.890496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동 구분홈페이지분야등록일시
동 구분1.0001.0000.0000.000
홈페이지1.0001.0001.0001.000
분야0.0001.0001.0000.675
등록일시0.0001.0000.6751.000
2023-12-12T18:05:02.984564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동 구분분야
동 구분1.0000.000
분야0.0001.000
2023-12-12T18:05:03.068179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동 구분분야
동 구분1.0000.000
분야0.0001.000

Missing values

2023-12-12T18:04:58.207892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:04:58.324152image/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

시설명동 구분소재지도로명주소전화번호홈페이지분야등록일시
0옥산초등학교무거동울산광역시 남구 옥현로60번길 7 (무거동)052-223-5160<NA>초등학교2014-03-17
1선암동 주민자치센터선암동울산광역시 남구 산업로 325번길 34052-226-2804https://www.ulsannamgu.go.kr/dong/sunam/주민자치센터2014-03-17
2태화중학교야음장생포동울산광역시 남구 화합로71번길 24 (야음동)070-8277-7800<NA>중학교2014-03-17
3울산여자상업고등학교신정4동울산광역시 남구 두왕로 304 (신정동)052-257-2301www.ulsangch.hs.kr고등학교2014-03-17
4삼일여자고등학교선암동울산광역시 남구 두왕로190번길 59 (선암동)052-276-4414<NA>고등학교2014-03-17
5신정초등학교신정1동울산광역시 남구 봉월로67번길 16 (신정동)052-257-8157<NA>초등학교2014-03-17
6야음초등학교대현동울산광역시 남구 산업로355번길 111 (야음동)052-274-1682<NA>초등학교2014-03-17
7여천초등학교야음장생포동울산광역시 남구 여천로 31 (야음동)052-258-4102<NA>초등학교2014-03-17
8용연초등학교대현동울산광역시 남구 야음로26번길 7 (야음동)052-256-8684<NA>초등학교2014-03-17
9동평중학교옥동울산광역시 남구 도산로77번길 13-34 (달동)052-265-9577<NA>중학교2014-03-17
시설명동 구분소재지도로명주소전화번호홈페이지분야등록일시
153울산다울성인장애인학교신정3동울산광역시 남구 월평로 67 신정나이스빌 2층052-261-1203http://cafe.daum.net/ulsandaul사회복지시설2014-03-17
154수암초등학교신정4동울산광역시 남구 중앙로 47 (신정동)052-271-7950<NA>초등학교2014-03-17
155신복초등학교무거동울산광역시 남구 신복로 74 (무거동)052-222-6271<NA>초등학교2014-03-17
156신정3동 주민자치센터신정3동울산광역시 남구 월평로 103번길 18052-226-2532https://www.ulsannamgu.go.kr/dong/sinjung3/주민자치센터2014-03-17
157국민체육센터야음장생포동울산광역시 남구 야음동 여천로 38052-256-6310https://crs.uncmc.or.kr/index_main.jsp공공기관2012-05-30
158남구 보건소삼산동울산광역시 남구 삼산중로 132052-226-2805https://www.ulsannamgu.go.kr/health/mainPage.do공공기관2014-03-17
159삼호동 주민자치센터삼호동울산광역시 남구 삼호로 15052-226-2582https://www.ulsannamgu.go.kr/dong/samho/주민자치센터2014-03-17
160세이브존문화센터삼산동울산광역시 남구 번영로 250번길 7-12(삼산동)052-279-9906https://saveculture.savezone.co.kr/기업체부설2014-03-17
161현대백화점문화센터(울산점)삼산동울산광역시 남구 삼산로 261(삼산동)052-274-4560http://www.ehyundai.com/newCulture/CT/CT000000_M.do기업체부설2014-03-17
162신정5동 주민자치센터신정5동울산광역시 남구 월평로 147052-226-2795https://www.ulsannamgu.go.kr/dong/sinjung5/주민자치센터2014-03-17