Overview

Dataset statistics

Number of variables5
Number of observations935
Missing cells7
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.6 KiB
Average record size in memory40.1 B

Variable types

Categorical1
Text4

Dataset

Description울산광역시 울주군 담배소매인 지정현황에 대한 데이터로 구분,업소명,도로명주소,지번주소,지정일자에 대한 정보를 제공합니다.
Author울산광역시 울주군
URLhttps://www.data.go.kr/data/15102399/fileData.do

Reproduction

Analysis started2024-03-14 09:00:33.309874
Analysis finished2024-03-14 09:00:34.621017
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

민원구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
제7조의3제2항에따른경우
811 
제7조의3제3항에따른경우
124 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제7조의3제2항에따른경우
2nd row제7조의3제2항에따른경우
3rd row제7조의3제2항에따른경우
4th row제7조의3제2항에따른경우
5th row제7조의3제3항에따른경우

Common Values

ValueCountFrequency (%)
제7조의3제2항에따른경우 811
86.7%
제7조의3제3항에따른경우 124
 
13.3%

Length

2024-03-14T18:00:34.726135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:00:34.888861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7조의3제2항에따른경우 811
86.7%
제7조의3제3항에따른경우 124
 
13.3%
Distinct904
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-14T18:00:35.890187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length7.7625668
Min length2

Characters and Unicode

Total characters7258
Distinct characters500
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique884 ?
Unique (%)94.5%

Sample

1st row이마트24 청량율리점
2nd row주식회사 이스턴웰스 LSMnM 매점
3rd row씨유 언양작천정점
4th row주식회사 행복누리 울산지점
5th row지에스(GS)25울산울주대복점
ValueCountFrequency (%)
씨유 55
 
4.4%
이마트24 41
 
3.2%
세븐일레븐 41
 
3.2%
지에스(gs)25 25
 
2.0%
지에스25 18
 
1.4%
주식회사 12
 
1.0%
gs25 9
 
0.7%
주)코리아세븐 8
 
0.6%
티브이씨티앤씨 7
 
0.6%
언양점 6
 
0.5%
Other values (959) 1040
82.4%
2024-03-14T18:00:37.172201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
370
 
5.1%
327
 
4.5%
238
 
3.3%
211
 
2.9%
193
 
2.7%
180
 
2.5%
2 141
 
1.9%
124
 
1.7%
124
 
1.7%
116
 
1.6%
Other values (490) 5234
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6180
85.1%
Space Separator 327
 
4.5%
Decimal Number 312
 
4.3%
Uppercase Letter 197
 
2.7%
Close Punctuation 97
 
1.3%
Open Punctuation 96
 
1.3%
Lowercase Letter 38
 
0.5%
Other Punctuation 8
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
370
 
6.0%
238
 
3.9%
211
 
3.4%
193
 
3.1%
180
 
2.9%
124
 
2.0%
124
 
2.0%
116
 
1.9%
113
 
1.8%
108
 
1.7%
Other values (436) 4403
71.2%
Uppercase Letter
ValueCountFrequency (%)
S 67
34.0%
G 61
31.0%
R 9
 
4.6%
T 8
 
4.1%
L 7
 
3.6%
M 7
 
3.6%
K 6
 
3.0%
I 5
 
2.5%
A 4
 
2.0%
O 4
 
2.0%
Other values (10) 19
 
9.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
15.8%
o 4
10.5%
t 4
10.5%
f 4
10.5%
c 3
7.9%
a 3
7.9%
l 2
 
5.3%
i 2
 
5.3%
s 2
 
5.3%
r 1
 
2.6%
Other values (7) 7
18.4%
Decimal Number
ValueCountFrequency (%)
2 141
45.2%
5 85
27.2%
4 55
 
17.6%
1 11
 
3.5%
3 5
 
1.6%
7 4
 
1.3%
8 4
 
1.3%
9 4
 
1.3%
6 3
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
& 2
25.0%
: 1
 
12.5%
/ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
327
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6179
85.1%
Common 843
 
11.6%
Latin 235
 
3.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
370
 
6.0%
238
 
3.9%
211
 
3.4%
193
 
3.1%
180
 
2.9%
124
 
2.0%
124
 
2.0%
116
 
1.9%
113
 
1.8%
108
 
1.7%
Other values (435) 4402
71.2%
Latin
ValueCountFrequency (%)
S 67
28.5%
G 61
26.0%
R 9
 
3.8%
T 8
 
3.4%
L 7
 
3.0%
M 7
 
3.0%
K 6
 
2.6%
e 6
 
2.6%
I 5
 
2.1%
A 4
 
1.7%
Other values (27) 55
23.4%
Common
ValueCountFrequency (%)
327
38.8%
2 141
16.7%
) 97
 
11.5%
( 96
 
11.4%
5 85
 
10.1%
4 55
 
6.5%
1 11
 
1.3%
3 5
 
0.6%
7 4
 
0.5%
8 4
 
0.5%
Other values (7) 18
 
2.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6179
85.1%
ASCII 1078
 
14.9%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
370
 
6.0%
238
 
3.9%
211
 
3.4%
193
 
3.1%
180
 
2.9%
124
 
2.0%
124
 
2.0%
116
 
1.9%
113
 
1.8%
108
 
1.7%
Other values (435) 4402
71.2%
ASCII
ValueCountFrequency (%)
327
30.3%
2 141
13.1%
) 97
 
9.0%
( 96
 
8.9%
5 85
 
7.9%
S 67
 
6.2%
G 61
 
5.7%
4 55
 
5.1%
1 11
 
1.0%
R 9
 
0.8%
Other values (44) 129
 
12.0%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct724
Distinct (%)78.0%
Missing7
Missing (%)0.7%
Memory size7.4 KiB
2024-03-14T18:00:38.350056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length21.637931
Min length1

Characters and Unicode

Total characters20080
Distinct characters271
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

Unique717 ?
Unique (%)77.3%

Sample

1st row울산광역시 울주군 청량읍 율리 1470-6
2nd row울산광역시 울주군 온산읍 대정리 70
3rd row울산광역시 울주군 상북면 등억알프스리 27
4th row울산광역시 울주군 온산읍 화산리 580
5th row울산광역시 울주군 웅촌면 대복리 343-1
ValueCountFrequency (%)
울산광역시 731
 
17.1%
울주군 731
 
17.1%
온산읍 123
 
2.9%
언양읍 104
 
2.4%
범서읍 98
 
2.3%
1호 97
 
2.3%
삼남읍 76
 
1.8%
덕신리 73
 
1.7%
서생면 71
 
1.7%
온양읍 71
 
1.7%
Other values (956) 2095
49.1%
2024-03-14T18:00:39.806938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4234
21.1%
1478
 
7.4%
940
 
4.7%
742
 
3.7%
739
 
3.7%
738
 
3.7%
735
 
3.7%
733
 
3.7%
731
 
3.6%
1 704
 
3.5%
Other values (261) 8306
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12442
62.0%
Space Separator 4234
 
21.1%
Decimal Number 3114
 
15.5%
Dash Punctuation 217
 
1.1%
Uppercase Letter 38
 
0.2%
Open Punctuation 10
 
< 0.1%
Close Punctuation 10
 
< 0.1%
Other Punctuation 9
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1478
 
11.9%
940
 
7.6%
742
 
6.0%
739
 
5.9%
738
 
5.9%
735
 
5.9%
733
 
5.9%
731
 
5.9%
521
 
4.2%
460
 
3.7%
Other values (228) 4625
37.2%
Uppercase Letter
ValueCountFrequency (%)
B 15
39.5%
N 9
23.7%
L 5
 
13.2%
P 2
 
5.3%
A 1
 
2.6%
I 1
 
2.6%
M 1
 
2.6%
D 1
 
2.6%
S 1
 
2.6%
E 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 704
22.6%
2 374
12.0%
3 338
10.9%
5 288
9.2%
0 286
9.2%
4 284
9.1%
6 242
 
7.8%
8 224
 
7.2%
7 219
 
7.0%
9 155
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
33.3%
l 1
16.7%
p 1
16.7%
z 1
16.7%
e 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
@ 2
 
22.2%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
4234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 217
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12442
62.0%
Common 7594
37.8%
Latin 44
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1478
 
11.9%
940
 
7.6%
742
 
6.0%
739
 
5.9%
738
 
5.9%
735
 
5.9%
733
 
5.9%
731
 
5.9%
521
 
4.2%
460
 
3.7%
Other values (228) 4625
37.2%
Common
ValueCountFrequency (%)
4234
55.8%
1 704
 
9.3%
2 374
 
4.9%
3 338
 
4.5%
5 288
 
3.8%
0 286
 
3.8%
4 284
 
3.7%
6 242
 
3.2%
8 224
 
2.9%
7 219
 
2.9%
Other values (7) 401
 
5.3%
Latin
ValueCountFrequency (%)
B 15
34.1%
N 9
20.5%
L 5
 
11.4%
a 2
 
4.5%
P 2
 
4.5%
A 1
 
2.3%
I 1
 
2.3%
M 1
 
2.3%
D 1
 
2.3%
S 1
 
2.3%
Other values (6) 6
 
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12442
62.0%
ASCII 7638
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4234
55.4%
1 704
 
9.2%
2 374
 
4.9%
3 338
 
4.4%
5 288
 
3.8%
0 286
 
3.7%
4 284
 
3.7%
6 242
 
3.2%
8 224
 
2.9%
7 219
 
2.9%
Other values (23) 445
 
5.8%
Hangul
ValueCountFrequency (%)
1478
 
11.9%
940
 
7.6%
742
 
6.0%
739
 
5.9%
738
 
5.9%
735
 
5.9%
733
 
5.9%
731
 
5.9%
521
 
4.2%
460
 
3.7%
Other values (228) 4625
37.2%
Distinct815
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-14T18:00:41.099199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length52
Mean length21.767914
Min length1

Characters and Unicode

Total characters20353
Distinct characters309
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique803 ?
Unique (%)85.9%

Sample

1st row울산광역시 울주군 청량읍 율리영해로 45
2nd row울산광역시 울주군 온산읍 산암로 148
3rd row울산광역시 울주군 상북면 자수정로 323
4th row울산광역시 울주군 온산읍 이진로 19
5th row울산광역시 울주군 웅촌면 삼동로 1620. 1층
ValueCountFrequency (%)
울산광역시 825
 
18.2%
울주군 825
 
18.2%
온산읍 149
 
3.3%
1층 120
 
2.6%
언양읍 117
 
2.6%
범서읍 106
 
2.3%
온양읍 89
 
2.0%
서생면 72
 
1.6%
상북면 62
 
1.4%
삼남면 61
 
1.3%
Other values (965) 2110
46.5%
2024-03-14T18:00:42.862445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3839
18.9%
1687
 
8.3%
1075
 
5.3%
841
 
4.1%
840
 
4.1%
833
 
4.1%
830
 
4.1%
825
 
4.1%
1 752
 
3.7%
510
 
2.5%
Other values (299) 8321
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13135
64.5%
Space Separator 3839
 
18.9%
Decimal Number 2811
 
13.8%
Other Punctuation 220
 
1.1%
Dash Punctuation 135
 
0.7%
Open Punctuation 92
 
0.5%
Close Punctuation 91
 
0.4%
Uppercase Letter 23
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1687
 
12.8%
1075
 
8.2%
841
 
6.4%
840
 
6.4%
833
 
6.3%
830
 
6.3%
825
 
6.3%
510
 
3.9%
431
 
3.3%
397
 
3.0%
Other values (265) 4866
37.0%
Uppercase Letter
ValueCountFrequency (%)
B 9
39.1%
A 3
 
13.0%
P 2
 
8.7%
M 2
 
8.7%
G 1
 
4.3%
L 1
 
4.3%
I 1
 
4.3%
D 1
 
4.3%
S 1
 
4.3%
E 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 752
26.8%
2 380
13.5%
3 282
 
10.0%
0 255
 
9.1%
4 227
 
8.1%
5 217
 
7.7%
7 188
 
6.7%
8 184
 
6.5%
6 175
 
6.2%
9 151
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
33.3%
e 1
16.7%
z 1
16.7%
l 1
16.7%
p 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 218
99.1%
@ 1
 
0.5%
& 1
 
0.5%
Space Separator
ValueCountFrequency (%)
3839
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13135
64.5%
Common 7189
35.3%
Latin 29
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1687
 
12.8%
1075
 
8.2%
841
 
6.4%
840
 
6.4%
833
 
6.3%
830
 
6.3%
825
 
6.3%
510
 
3.9%
431
 
3.3%
397
 
3.0%
Other values (265) 4866
37.0%
Common
ValueCountFrequency (%)
3839
53.4%
1 752
 
10.5%
2 380
 
5.3%
3 282
 
3.9%
0 255
 
3.5%
4 227
 
3.2%
. 218
 
3.0%
5 217
 
3.0%
7 188
 
2.6%
8 184
 
2.6%
Other values (8) 647
 
9.0%
Latin
ValueCountFrequency (%)
B 9
31.0%
A 3
 
10.3%
a 2
 
6.9%
P 2
 
6.9%
M 2
 
6.9%
e 1
 
3.4%
G 1
 
3.4%
L 1
 
3.4%
I 1
 
3.4%
D 1
 
3.4%
Other values (6) 6
20.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13135
64.5%
ASCII 7218
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3839
53.2%
1 752
 
10.4%
2 380
 
5.3%
3 282
 
3.9%
0 255
 
3.5%
4 227
 
3.1%
. 218
 
3.0%
5 217
 
3.0%
7 188
 
2.6%
8 184
 
2.5%
Other values (24) 676
 
9.4%
Hangul
ValueCountFrequency (%)
1687
 
12.8%
1075
 
8.2%
841
 
6.4%
840
 
6.4%
833
 
6.3%
830
 
6.3%
825
 
6.3%
510
 
3.9%
431
 
3.3%
397
 
3.0%
Other values (265) 4866
37.0%
Distinct783
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-14T18:00:44.008900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters9350
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

Unique657 ?
Unique (%)70.3%

Sample

1st row2024-01-11
2nd row2024-01-05
3rd row2023-12-29
4th row2023-12-14
5th row2023-12-14
ValueCountFrequency (%)
2009-03-16 5
 
0.5%
2018-11-15 4
 
0.4%
2018-08-13 3
 
0.3%
2019-03-20 3
 
0.3%
2018-04-12 3
 
0.3%
2022-08-24 3
 
0.3%
2022-06-27 3
 
0.3%
2023-07-05 3
 
0.3%
2016-08-29 3
 
0.3%
2016-09-05 3
 
0.3%
Other values (773) 902
96.5%
2024-03-14T18:00:45.544889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2359
25.2%
2 1871
20.0%
- 1870
20.0%
1 1325
14.2%
3 326
 
3.5%
9 322
 
3.4%
8 306
 
3.3%
4 245
 
2.6%
7 244
 
2.6%
6 242
 
2.6%
Other values (2) 240
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7478
80.0%
Dash Punctuation 1870
 
20.0%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2359
31.5%
2 1871
25.0%
1 1325
17.7%
3 326
 
4.4%
9 322
 
4.3%
8 306
 
4.1%
4 245
 
3.3%
7 244
 
3.3%
6 242
 
3.2%
5 238
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1870
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2359
25.2%
2 1871
20.0%
- 1870
20.0%
1 1325
14.2%
3 326
 
3.5%
9 322
 
3.4%
8 306
 
3.3%
4 245
 
2.6%
7 244
 
2.6%
6 242
 
2.6%
Other values (2) 240
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2359
25.2%
2 1871
20.0%
- 1870
20.0%
1 1325
14.2%
3 326
 
3.5%
9 322
 
3.4%
8 306
 
3.3%
4 245
 
2.6%
7 244
 
2.6%
6 242
 
2.6%
Other values (2) 240
 
2.6%

Missing values

2024-03-14T18:00:34.344124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:00:34.553743image/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

민원구분업소명업소지번주소업소도로명주소지정일자
0제7조의3제2항에따른경우이마트24 청량율리점울산광역시 울주군 청량읍 율리 1470-6울산광역시 울주군 청량읍 율리영해로 452024-01-11
1제7조의3제2항에따른경우주식회사 이스턴웰스 LSMnM 매점울산광역시 울주군 온산읍 대정리 70울산광역시 울주군 온산읍 산암로 1482024-01-05
2제7조의3제2항에따른경우씨유 언양작천정점울산광역시 울주군 상북면 등억알프스리 27울산광역시 울주군 상북면 자수정로 3232023-12-29
3제7조의3제2항에따른경우주식회사 행복누리 울산지점울산광역시 울주군 온산읍 화산리 580울산광역시 울주군 온산읍 이진로 192023-12-14
4제7조의3제3항에따른경우지에스(GS)25울산울주대복점울산광역시 울주군 웅촌면 대복리 343-1울산광역시 울주군 웅촌면 삼동로 1620. 1층2023-12-14
5제7조의3제2항에따른경우지에스(GS)25 온양미라주점울산광역시 울주군 온양읍 대안리 750 일동미라주더스타울산광역시 울주군 온양읍 대안3길 46. 상가동 105호 (일동미라주더스타)2023-12-11
6제7조의3제2항에따른경우이마트24 새울2발전소위성점울산광역시 울주군 서생면 신암리 8772023-11-29
7제7조의3제2항에따른경우이마트24 새울2발전소점울산광역시 울주군 서생면 신암리 825-12023-11-29
8제7조의3제2항에따른경우씨유 울산교동원룸점울산광역시 울주군 삼남읍 교동리 1627-6울산광역시 울주군 삼남읍 동향교2길 52023-11-16
9제7조의3제2항에따른경우대추나무매점울산광역시 울주군 상북면 이천리 66울산광역시 울주군 상북면 배내로 1350-132023-11-14
민원구분업소명업소지번주소업소도로명주소지정일자
925제7조의3제2항에따른경우현대슈퍼울산광역시 울주군 언양읍 반천리 1023번지 51호 현대상가 1 101울산광역시 울주군 언양읍 반천강변길 51. 1동 101호 (현대상가)1998-11-19
926제7조의3제3항에따른경우청량농업협동조합울산광역시 울주군 청량읍 상남리 586번지 1호울산광역시 울주군 청량면 덕하로 2401998-06-08
927제7조의3제2항에따른경우바다슈퍼울산광역시 울주군 온양면 발리 608번지 1호1998-02-14
928제7조의3제2항에따른경우송전상회울산광역시 울주군 청량읍 상남리 547번지 11호울산광역시 울주군 청량면 덕하로 2111998-05-17
929제7조의3제2항에따른경우향산가든울산광역시 울주군 상북면 향산리 432-1호1998-12-14
930제7조의3제3항에따른경우(주)현대밋숀울산광역시 울주군 온산읍 화산리 1281번지 2호울산광역시 울주군 온산읍 화산로 2291998-12-08
931제7조의3제2항에따른경우현대유통울산광역시 울주군 언양읍 반송리 1030 (주) 금강호1998-11-06
932제7조의3제3항에따른경우형화체널포울산광역시 울주군 범서읍 구영리 578호 청구그린타운상가 2011998-09-07
933제7조의3제2항에따른경우정가정식당울산광역시 울주군 온산읍 덕신리 1293-6호1998-10-28
934제7조의3제2항에따른경우울산종합신발울산광역시 울주군 범서읍 구영리 10B 8-4N 105호1997-10-28