Overview

Dataset statistics

Number of variables8
Number of observations86
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory67.5 B

Variable types

Categorical2
Text3
Numeric2
DateTime1

Dataset

Description울산광역시 중구 RFID 설치현황 데이터 입니다. 데이터 목록으로는 설치다세대주택명, 주소, 세대수, 수거업체명 등의 데이터 목록을 포함하고 있습니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15090480/fileData.do

Alerts

데이터기준일 has constant value ""Constant
설치년도 is highly overall correlated with 업체High correlation
업체 is highly overall correlated with 설치년도High correlation
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:59:10.929026
Analysis finished2023-12-12 03:59:12.483065
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치위치
Categorical

Distinct13
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size820.0 B
태화동
20 
우정동
8 
학성동
8 
반구1동
7 
복산2동
7 
Other values (8)
36 

Length

Max length4
Median length3
Mean length3.372093
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row다운동
2nd row반구1동
3rd row태화동
4th row복산2동
5th row다운동

Common Values

ValueCountFrequency (%)
태화동 20
23.3%
우정동 8
 
9.3%
학성동 8
 
9.3%
반구1동 7
 
8.1%
복산2동 7
 
8.1%
성안동 7
 
8.1%
병영2동 6
 
7.0%
복산1동 5
 
5.8%
중앙동 5
 
5.8%
다운동 4
 
4.7%
Other values (3) 9
10.5%

Length

2023-12-12T12:59:12.564956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
태화동 20
23.3%
우정동 8
 
9.3%
학성동 8
 
9.3%
반구1동 7
 
8.1%
복산2동 7
 
8.1%
성안동 7
 
8.1%
병영2동 6
 
7.0%
복산1동 5
 
5.8%
중앙동 5
 
5.8%
다운동 4
 
4.7%
Other values (3) 9
10.5%

공동주택명
Text

Distinct85
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-12T12:59:12.813756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length7.1976744
Min length4

Characters and Unicode

Total characters619
Distinct characters163
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

Unique84 ?
Unique (%)97.7%

Sample

1st row다운2차 아파트
2nd row한라그랜드
3rd row강변 맨션
4th row효성 해링턴 2차
5th row다운 현대
ValueCountFrequency (%)
2차 3
 
2.7%
삼익세라믹아파트101동 2
 
1.8%
해링턴 2
 
1.8%
아파트 2
 
1.8%
다운 2
 
1.8%
1,2차 2
 
1.8%
효성 2
 
1.8%
우정혁신lh 2
 
1.8%
에일린의뜰 2
 
1.8%
105동 1
 
0.9%
Other values (91) 91
82.0%
2023-12-12T12:59:13.294975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 30
 
4.8%
파 28
 
4.5%
트 28
 
4.5%
25
 
4.0%
1 22
 
3.6%
동 21
 
3.4%
차 19
 
3.1%
운 15
 
2.4%
리 12
 
1.9%
2 12
 
1.9%
Other values (153) 407
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
83.7%
Decimal Number 55
 
8.9%
Space Separator 25
 
4.0%
Uppercase Letter 9
 
1.5%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%
Lowercase Letter 3
 
0.5%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 30
 
5.8%
파 28
 
5.4%
트 28
 
5.4%
동 21
 
4.1%
차 19
 
3.7%
운 15
 
2.9%
리 12
 
2.3%
성 11
 
2.1%
이 10
 
1.9%
스 10
 
1.9%
Other values (136) 334
64.5%
Decimal Number
ValueCountFrequency (%)
1 22
40.0%
2 12
21.8%
0 10
18.2%
3 7
 
12.7%
6 2
 
3.6%
4 1
 
1.8%
5 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
H 3
33.3%
L 3
33.3%
C 2
22.2%
K 1
 
11.1%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
83.7%
Common 89
 
14.4%
Latin 12
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 30
 
5.8%
파 28
 
5.4%
트 28
 
5.4%
동 21
 
4.1%
차 19
 
3.7%
운 15
 
2.9%
리 12
 
2.3%
성 11
 
2.1%
이 10
 
1.9%
스 10
 
1.9%
Other values (136) 334
64.5%
Common
ValueCountFrequency (%)
25
28.1%
1 22
24.7%
2 12
13.5%
0 10
 
11.2%
3 7
 
7.9%
) 3
 
3.4%
( 3
 
3.4%
6 2
 
2.2%
, 2
 
2.2%
4 1
 
1.1%
Other values (2) 2
 
2.2%
Latin
ValueCountFrequency (%)
H 3
25.0%
L 3
25.0%
e 3
25.0%
C 2
16.7%
K 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
83.7%
ASCII 101
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 30
 
5.8%
파 28
 
5.4%
트 28
 
5.4%
동 21
 
4.1%
차 19
 
3.7%
운 15
 
2.9%
리 12
 
2.3%
성 11
 
2.1%
이 10
 
1.9%
스 10
 
1.9%
Other values (136) 334
64.5%
ASCII
ValueCountFrequency (%)
25
24.8%
1 22
21.8%
2 12
11.9%
0 10
 
9.9%
3 7
 
6.9%
) 3
 
3.0%
H 3
 
3.0%
L 3
 
3.0%
( 3
 
3.0%
e 3
 
3.0%
Other values (7) 10
 
9.9%

세대수
Real number (ℝ)

Distinct80
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.90698
Minimum34
Maximum1613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T12:59:13.442307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile50
Q1105.25
median228.5
Q3466.75
95-th percentile899.75
Maximum1613
Range1579
Interquartile range (IQR)361.5

Descriptive statistics

Standard deviation291.34288
Coefficient of variation (CV)0.89946466
Kurtosis3.8683737
Mean323.90698
Median Absolute Deviation (MAD)159
Skewness1.7091525
Sum27856
Variance84880.674
MonotonicityNot monotonic
2023-12-12T12:59:13.917846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
346 2
 
2.3%
48 2
 
2.3%
50 2
 
2.3%
201 2
 
2.3%
483 2
 
2.3%
594 2
 
2.3%
400 1
 
1.2%
652 1
 
1.2%
60 1
 
1.2%
648 1
 
1.2%
Other values (70) 70
81.4%
ValueCountFrequency (%)
34 1
1.2%
47 1
1.2%
48 2
2.3%
50 2
2.3%
53 1
1.2%
54 1
1.2%
55 1
1.2%
60 1
1.2%
63 1
1.2%
64 1
1.2%
ValueCountFrequency (%)
1613 1
1.2%
1112 1
1.2%
1004 1
1.2%
920 1
1.2%
911 1
1.2%
866 1
1.2%
800 1
1.2%
736 1
1.2%
712 1
1.2%
685 1
1.2%

도로명주소
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-12T12:59:14.259958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length16.546512
Min length13

Characters and Unicode

Total characters1423
Distinct characters72
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

Unique86 ?
Unique (%)100.0%

Sample

1st row울산광역시 중구 울산광역시 중구 다운 6길 16
2nd row울산광역시 중구 반구정 9길 10
3rd row울산광역시 중구 신기11길 10-10
4th row울산광역시 중구 번영로 445
5th row울산광역시 중구 운곡 3길 23
ValueCountFrequency (%)
울산광역시 87
24.9%
중구 87
24.9%
10 6
 
1.7%
종가로 6
 
1.7%
3길 4
 
1.1%
유곡로 4
 
1.1%
화합로 3
 
0.9%
25 3
 
0.9%
신기11길 3
 
0.9%
도화골길 2
 
0.6%
Other values (118) 144
41.3%
2023-12-12T12:59:14.763254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272
19.1%
구 97
 
6.8%
산 89
 
6.3%
역 89
 
6.3%
울 87
 
6.1%
광 87
 
6.1%
시 87
 
6.1%
중 87
 
6.1%
1 66
 
4.6%
길 52
 
3.7%
Other values (62) 410
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 880
61.8%
Space Separator 272
 
19.1%
Decimal Number 260
 
18.3%
Dash Punctuation 11
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 97
11.0%
산 89
10.1%
역 89
10.1%
울 87
9.9%
광 87
9.9%
시 87
9.9%
중 87
9.9%
길 52
 
5.9%
로 34
 
3.9%
기 9
 
1.0%
Other values (50) 162
18.4%
Decimal Number
ValueCountFrequency (%)
1 66
25.4%
2 35
13.5%
5 29
11.2%
0 25
 
9.6%
3 25
 
9.6%
4 24
 
9.2%
6 22
 
8.5%
8 15
 
5.8%
9 11
 
4.2%
7 8
 
3.1%
Space Separator
ValueCountFrequency (%)
272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 880
61.8%
Common 543
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 97
11.0%
산 89
10.1%
역 89
10.1%
울 87
9.9%
광 87
9.9%
시 87
9.9%
중 87
9.9%
길 52
 
5.9%
로 34
 
3.9%
기 9
 
1.0%
Other values (50) 162
18.4%
Common
ValueCountFrequency (%)
272
50.1%
1 66
 
12.2%
2 35
 
6.4%
5 29
 
5.3%
0 25
 
4.6%
3 25
 
4.6%
4 24
 
4.4%
6 22
 
4.1%
8 15
 
2.8%
9 11
 
2.0%
Other values (2) 19
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 880
61.8%
ASCII 543
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
272
50.1%
1 66
 
12.2%
2 35
 
6.4%
5 29
 
5.3%
0 25
 
4.6%
3 25
 
4.6%
4 24
 
4.4%
6 22
 
4.1%
8 15
 
2.8%
9 11
 
2.0%
Other values (2) 19
 
3.5%
Hangul
ValueCountFrequency (%)
구 97
11.0%
산 89
10.1%
역 89
10.1%
울 87
9.9%
광 87
9.9%
시 87
9.9%
중 87
9.9%
길 52
 
5.9%
로 34
 
3.9%
기 9
 
1.0%
Other values (50) 162
18.4%

지번주소
Text

Distinct85
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-12T12:59:15.051167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length17.372093
Min length15

Characters and Unicode

Total characters1494
Distinct characters42
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

Unique84 ?
Unique (%)97.7%

Sample

1st row울산광역시 중구 다운동 768
2nd row울산광역시 중구 반구동 290-2
3rd row울산광역시 중구 태화동 산26
4th row울산광역시 중구 복산동 770
5th row울산광역시 중구 다운동 590
ValueCountFrequency (%)
울산광역시 86
25.0%
중구 86
25.0%
태화동 14
 
4.1%
복산동 12
 
3.5%
반구동 11
 
3.2%
학성동 8
 
2.3%
우정동 8
 
2.3%
성안동 7
 
2.0%
유곡동 6
 
1.7%
서동 4
 
1.2%
Other values (93) 102
29.7%
2023-12-12T12:59:15.538941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
271
18.1%
산 101
 
6.8%
구 97
 
6.5%
동 87
 
5.8%
중 86
 
5.8%
울 86
 
5.8%
시 86
 
5.8%
역 86
 
5.8%
광 86
 
5.8%
- 55
 
3.7%
Other values (32) 453
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 856
57.3%
Decimal Number 312
 
20.9%
Space Separator 271
 
18.1%
Dash Punctuation 55
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 101
11.8%
구 97
11.3%
동 87
10.2%
중 86
10.0%
울 86
10.0%
시 86
10.0%
역 86
10.0%
광 86
10.0%
성 16
 
1.9%
화 14
 
1.6%
Other values (20) 111
13.0%
Decimal Number
ValueCountFrequency (%)
1 52
16.7%
7 44
14.1%
2 41
13.1%
3 33
10.6%
6 29
9.3%
5 27
8.7%
9 23
7.4%
4 21
6.7%
0 21
6.7%
8 21
6.7%
Space Separator
ValueCountFrequency (%)
271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 856
57.3%
Common 638
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 101
11.8%
구 97
11.3%
동 87
10.2%
중 86
10.0%
울 86
10.0%
시 86
10.0%
역 86
10.0%
광 86
10.0%
성 16
 
1.9%
화 14
 
1.6%
Other values (20) 111
13.0%
Common
ValueCountFrequency (%)
271
42.5%
- 55
 
8.6%
1 52
 
8.2%
7 44
 
6.9%
2 41
 
6.4%
3 33
 
5.2%
6 29
 
4.5%
5 27
 
4.2%
9 23
 
3.6%
4 21
 
3.3%
Other values (2) 42
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 856
57.3%
ASCII 638
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
271
42.5%
- 55
 
8.6%
1 52
 
8.2%
7 44
 
6.9%
2 41
 
6.4%
3 33
 
5.2%
6 29
 
4.5%
5 27
 
4.2%
9 23
 
3.6%
4 21
 
3.3%
Other values (2) 42
 
6.6%
Hangul
ValueCountFrequency (%)
산 101
11.8%
구 97
11.3%
동 87
10.2%
중 86
10.0%
울 86
10.0%
시 86
10.0%
역 86
10.0%
광 86
10.0%
성 16
 
1.9%
화 14
 
1.6%
Other values (20) 111
13.0%

업체
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
정한테크㈜
51 
부민W&P
14 
솔루션
11 
일월정밀
10 

Length

Max length5
Median length5
Mean length4.627907
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정한테크㈜
2nd row정한테크㈜
3rd row정한테크㈜
4th row정한테크㈜
5th row정한테크㈜

Common Values

ValueCountFrequency (%)
정한테크㈜ 51
59.3%
부민W&P 14
 
16.3%
솔루션 11
 
12.8%
일월정밀 10
 
11.6%

Length

2023-12-12T12:59:15.799054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:59:15.987762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정한테크㈜ 51
59.3%
부민w&p 14
 
16.3%
솔루션 11
 
12.8%
일월정밀 10
 
11.6%

설치년도
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.3488
Minimum2016
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T12:59:16.144753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2017
Q12018
median2019
Q32021
95-th percentile2023
Maximum2023
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9749457
Coefficient of variation (CV)0.00097801115
Kurtosis-1.0231961
Mean2019.3488
Median Absolute Deviation (MAD)2
Skewness0.42748825
Sum173664
Variance3.9004104
MonotonicityNot monotonic
2023-12-12T12:59:16.306342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2018 21
24.4%
2017 16
18.6%
2021 15
17.4%
2019 13
15.1%
2023 8
 
9.3%
2020 6
 
7.0%
2022 6
 
7.0%
2016 1
 
1.2%
ValueCountFrequency (%)
2016 1
 
1.2%
2017 16
18.6%
2018 21
24.4%
2019 13
15.1%
2020 6
 
7.0%
2021 15
17.4%
2022 6
 
7.0%
2023 8
 
9.3%
ValueCountFrequency (%)
2023 8
 
9.3%
2022 6
 
7.0%
2021 15
17.4%
2020 6
 
7.0%
2019 13
15.1%
2018 21
24.4%
2017 16
18.6%
2016 1
 
1.2%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2023-09-01 00:00:00
Maximum2023-09-01 00:00:00
2023-12-12T12:59:16.443884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:59:16.595857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:59:11.955943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:59:11.697570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:59:12.058755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:59:11.832921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:59:16.707991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치위치공동주택명세대수도로명주소지번주소업체설치년도
설치위치1.0000.9160.4641.0001.0000.5390.504
공동주택명0.9161.0001.0001.0000.9990.7351.000
세대수0.4641.0001.0001.0000.2950.0000.321
도로명주소1.0001.0001.0001.0001.0001.0001.000
지번주소1.0000.9990.2951.0001.0001.0001.000
업체0.5390.7350.0001.0001.0001.0000.835
설치년도0.5041.0000.3211.0001.0000.8351.000
2023-12-12T12:59:16.864062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치위치업체
설치위치1.0000.324
업체0.3241.000
2023-12-12T12:59:16.957185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세대수설치년도설치위치업체
세대수1.000-0.2940.2190.000
설치년도-0.2941.0000.2550.729
설치위치0.2190.2551.0000.324
업체0.0000.7290.3241.000

Missing values

2023-12-12T12:59:12.225415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:59:12.426427image/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

설치위치공동주택명세대수도로명주소지번주소업체설치년도데이터기준일
0다운동다운2차 아파트400울산광역시 중구 울산광역시 중구 다운 6길 16울산광역시 중구 다운동 768정한테크㈜20162023-09-01
1반구1동한라그랜드238울산광역시 중구 반구정 9길 10울산광역시 중구 반구동 290-2정한테크㈜20172023-09-01
2태화동강변 맨션298울산광역시 중구 신기11길 10-10울산광역시 중구 태화동 산26정한테크㈜20172023-09-01
3복산2동효성 해링턴 2차205울산광역시 중구 번영로 445울산광역시 중구 복산동 770정한테크㈜20172023-09-01
4다운동다운 현대279울산광역시 중구 운곡 3길 23울산광역시 중구 다운동 590정한테크㈜20172023-09-01
5병영2동KCC 스위첸424울산광역시 중구 종가로 668-10울산광역시 중구 서동 613정한테크㈜20172023-09-01
6복산2동효성 해링턴 1차207울산광역시 중구 번영로 435울산광역시 중구 복산동 766정한테크㈜20172023-09-01
7다운동다운 아파트800울산광역시 중구 다운 6길 16울산광역시 중구 다운동 768정한테크㈜20172023-09-01
8우정동우정 선경 2차1613울산광역시 중구 유곡로 10울산광역시 중구 우정동 369-1정한테크㈜20172023-09-01
9다운동다운삼성아파트289울산광역시 중구 운곡 3길 24울산광역시 중구 다운동 620정한테크㈜20172023-09-01
설치위치공동주택명세대수도로명주소지번주소업체설치년도데이터기준일
76병영1동일신에일린의뜰920울산광역시 중구 남외1길 105울산광역시 중구 남외동 500부민W&P20222023-09-01
77학성동남운학성타운274울산광역시 중구 학성4길 61울산광역시 중구 학성동 379부민W&P20222023-09-01
78태화동전원타운아파트403울산광역시 중구 신기길 31울산광역시 중구 태화동 431-10일월정밀20232023-09-01
79병영2동한라하얏트137울산광역시 중구 동천4길 15울산광역시 중구 서동 42-4일월정밀20232023-09-01
80반구1동화전아파트50울산광역시 중구 반구정17길 12-1울산광역시 중구 반구동 880-8일월정밀20232023-09-01
81성안동라인에이미54울산광역시 중구 성안8길 14울산광역시 중구 성안동 492-1일월정밀20232023-09-01
82학성동동남하이빌 6차75울산광역시 중구 구역전길 24-10울산광역시 중구 학성동 432-12일월정밀20232023-09-01
83학성동모아시티타워64울산광역시 중구 학성로 186울산광역시 중구 학성동 432-352일월정밀20232023-09-01
84태화동미포현대아파트94울산광역시 중구 신기11길 10-8울산광역시 중구 태화동 169-4일월정밀20232023-09-01
85학성동남경파크55울산광역시 중구 옥교3길 100울산광역시 중구 학성동 468-1일월정밀20232023-09-01