Overview

Dataset statistics

Number of variables10
Number of observations5521
Missing cells385
Missing cells (%)0.7%
Duplicate rows11
Duplicate rows (%)0.2%
Total size in memory431.5 KiB
Average record size in memory80.0 B

Variable types

Categorical4
Text6

Dataset

Description울산광역시 동구 내 위치한 옥외광고물현황에 대한 데이터로 광고물 종류, 업소명, 규격 등의 정보를 포함하고 있습니다
Author울산광역시 동구
URLhttps://www.data.go.kr/data/15042388/fileData.do

Alerts

Dataset has 11 (0.2%) duplicate rowsDuplicates
표시법정동 is highly overall correlated with 표시행정동High correlation
표시행정동 is highly overall correlated with 표시법정동High correlation
광고물종류 is highly imbalanced (57.3%)Imbalance
수량 is highly imbalanced (93.1%)Imbalance
표시장소_도로명 has 385 (7.0%) missing valuesMissing

Reproduction

Analysis started2024-03-14 18:08:02.748371
Analysis finished2024-03-14 18:08:05.918711
Duration3.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

광고물종류
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
돌출간판
3233 
벽면이용간판(가로형)
1762 
지주이용 간판
417 
옥상간판
 
40
공공시설물이용 광고물
 
24
Other values (5)
 
45

Length

Max length11
Median length4
Mean length6.5230936
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row돌출간판
2nd row벽면이용간판(가로형)
3rd row돌출간판
4th row벽면이용간판(가로형)
5th row지주이용 간판

Common Values

ValueCountFrequency (%)
돌출간판 3233
58.6%
벽면이용간판(가로형) 1762
31.9%
지주이용 간판 417
 
7.6%
옥상간판 40
 
0.7%
공공시설물이용 광고물 24
 
0.4%
애드벌룬 14
 
0.3%
벽면이용간판(세로형) 11
 
0.2%
교통수단이용 광고물 9
 
0.2%
가로형간판_입체형 8
 
0.1%
현수막게시틀 3
 
0.1%

Length

2024-03-15T03:08:06.144526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:08:06.378356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
돌출간판 3233
54.1%
벽면이용간판(가로형 1762
29.5%
지주이용 417
 
7.0%
간판 417
 
7.0%
옥상간판 40
 
0.7%
광고물 33
 
0.6%
공공시설물이용 24
 
0.4%
애드벌룬 14
 
0.2%
벽면이용간판(세로형 11
 
0.2%
교통수단이용 9
 
0.2%
Other values (2) 11
 
0.2%

업소명
Text

Distinct4351
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-03-15T03:08:07.647144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length6.2466944
Min length1

Characters and Unicode

Total characters34488
Distinct characters879
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3316 ?
Unique (%)60.1%

Sample

1st row무지개노래타운
2nd row샵네일
3rd row(쇼)카이텔레콤
4th row(주) 한우촌
5th row(주)KCC울산공장
ValueCountFrequency (%)
주)쓰리디허브시스템즈 23
 
0.4%
세븐일레븐 18
 
0.3%
씨유 9
 
0.2%
금성애드벌룬사 7
 
0.1%
울산동구점 6
 
0.1%
전하점 6
 
0.1%
이마트24 5
 
0.1%
울산화암점 5
 
0.1%
오페라노래공간 5
 
0.1%
하나마트 5
 
0.1%
Other values (4453) 5654
98.5%
2024-03-15T03:08:09.394709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 704
 
2.0%
산 628
 
1.8%
원 609
 
1.8%
이 570
 
1.7%
스 508
 
1.5%
리 465
 
1.3%
어 465
 
1.3%
사 444
 
1.3%
동 440
 
1.3%
울 411
 
1.2%
Other values (869) 29244
84.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32663
94.7%
Uppercase Letter 576
 
1.7%
Decimal Number 474
 
1.4%
Space Separator 222
 
0.6%
Open Punctuation 186
 
0.5%
Close Punctuation 186
 
0.5%
Lowercase Letter 86
 
0.2%
Other Punctuation 84
 
0.2%
Dash Punctuation 9
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 704
 
2.2%
산 628
 
1.9%
원 609
 
1.9%
이 570
 
1.7%
스 508
 
1.6%
리 465
 
1.4%
어 465
 
1.4%
사 444
 
1.4%
동 440
 
1.3%
울 411
 
1.3%
Other values (805) 27419
83.9%
Uppercase Letter
ValueCountFrequency (%)
C 76
13.2%
G 68
11.8%
S 67
11.6%
P 59
 
10.2%
K 39
 
6.8%
A 30
 
5.2%
B 30
 
5.2%
I 20
 
3.5%
L 20
 
3.5%
O 19
 
3.3%
Other values (16) 148
25.7%
Lowercase Letter
ValueCountFrequency (%)
c 20
23.3%
e 14
16.3%
p 13
15.1%
m 6
 
7.0%
s 5
 
5.8%
n 3
 
3.5%
k 3
 
3.5%
a 3
 
3.5%
f 3
 
3.5%
r 2
 
2.3%
Other values (9) 14
16.3%
Decimal Number
ValueCountFrequency (%)
2 126
26.6%
1 75
15.8%
5 58
12.2%
4 52
11.0%
0 51
10.8%
9 24
 
5.1%
6 24
 
5.1%
8 24
 
5.1%
7 22
 
4.6%
3 18
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 56
66.7%
& 25
29.8%
: 2
 
2.4%
' 1
 
1.2%
Space Separator
ValueCountFrequency (%)
222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 186
100.0%
Close Punctuation
ValueCountFrequency (%)
) 186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32658
94.7%
Common 1163
 
3.4%
Latin 662
 
1.9%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 704
 
2.2%
산 628
 
1.9%
원 609
 
1.9%
이 570
 
1.7%
스 508
 
1.6%
리 465
 
1.4%
어 465
 
1.4%
사 444
 
1.4%
동 440
 
1.3%
울 411
 
1.3%
Other values (801) 27414
83.9%
Latin
ValueCountFrequency (%)
C 76
 
11.5%
G 68
 
10.3%
S 67
 
10.1%
P 59
 
8.9%
K 39
 
5.9%
A 30
 
4.5%
B 30
 
4.5%
I 20
 
3.0%
c 20
 
3.0%
L 20
 
3.0%
Other values (35) 233
35.2%
Common
ValueCountFrequency (%)
222
19.1%
( 186
16.0%
) 186
16.0%
2 126
10.8%
1 75
 
6.4%
5 58
 
5.0%
. 56
 
4.8%
4 52
 
4.5%
0 51
 
4.4%
& 25
 
2.1%
Other values (9) 126
10.8%
Han
ValueCountFrequency (%)
喜 2
40.0%
家 1
20.0%
府 1
20.0%
川 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32658
94.7%
ASCII 1825
 
5.3%
CJK 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 704
 
2.2%
산 628
 
1.9%
원 609
 
1.9%
이 570
 
1.7%
스 508
 
1.6%
리 465
 
1.4%
어 465
 
1.4%
사 444
 
1.4%
동 440
 
1.3%
울 411
 
1.3%
Other values (801) 27414
83.9%
ASCII
ValueCountFrequency (%)
222
 
12.2%
( 186
 
10.2%
) 186
 
10.2%
2 126
 
6.9%
C 76
 
4.2%
1 75
 
4.1%
G 68
 
3.7%
S 67
 
3.7%
P 59
 
3.2%
5 58
 
3.2%
Other values (54) 702
38.5%
CJK
ValueCountFrequency (%)
喜 2
40.0%
家 1
20.0%
府 1
20.0%
川 1
20.0%

규격
Text

Distinct1710
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-03-15T03:08:10.938884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length41
Mean length7.0103242
Min length3

Characters and Unicode

Total characters38704
Distinct characters131
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1201 ?
Unique (%)21.8%

Sample

1st row0.8*3.5
2nd row4*1.2
3rd row0.8*2
4th row150*480
5th row1.86*5
ValueCountFrequency (%)
0.8*2 395
 
6.3%
0.8*3 380
 
6.1%
0.8*4 191
 
3.1%
0.8*2.5 172
 
2.7%
154
 
2.5%
0.7*2 106
 
1.7%
0.5*0.2 88
 
1.4%
0.7*3 88
 
1.4%
0.8*1.5 84
 
1.3%
0.8*5 77
 
1.2%
Other values (1574) 4527
72.3%
2024-03-15T03:08:12.508621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 7174
18.5%
0 5830
15.1%
* 5763
14.9%
1 3152
8.1%
8 2864
 
7.4%
5 2361
 
6.1%
2 2131
 
5.5%
1850
 
4.8%
3 1647
 
4.3%
7 1510
 
3.9%
Other values (121) 4422
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22228
57.4%
Other Punctuation 13284
34.3%
Space Separator 1850
 
4.8%
Other Letter 1035
 
2.7%
Close Punctuation 101
 
0.3%
Open Punctuation 101
 
0.3%
Uppercase Letter 76
 
0.2%
Lowercase Letter 16
 
< 0.1%
Math Symbol 9
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 194
18.7%
높 191
18.5%
용 92
 
8.9%
점 90
 
8.7%
로 90
 
8.7%
도 88
 
8.5%
고 15
 
1.4%
인 12
 
1.2%
신 12
 
1.2%
제 10
 
1.0%
Other values (94) 241
23.3%
Decimal Number
ValueCountFrequency (%)
0 5830
26.2%
1 3152
14.2%
8 2864
12.9%
5 2361
10.6%
2 2131
 
9.6%
3 1647
 
7.4%
7 1510
 
6.8%
4 1105
 
5.0%
6 1016
 
4.6%
9 612
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 7174
54.0%
* 5763
43.4%
: 344
 
2.6%
※ 3
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
O 43
56.6%
X 32
42.1%
K 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
o 10
62.5%
x 3
 
18.8%
m 3
 
18.8%
Math Symbol
ValueCountFrequency (%)
> 7
77.8%
+ 2
 
22.2%
Space Separator
ValueCountFrequency (%)
1850
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37577
97.1%
Hangul 1035
 
2.7%
Latin 92
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 194
18.7%
높 191
18.5%
용 92
 
8.9%
점 90
 
8.7%
로 90
 
8.7%
도 88
 
8.5%
고 15
 
1.4%
인 12
 
1.2%
신 12
 
1.2%
제 10
 
1.0%
Other values (94) 241
23.3%
Common
ValueCountFrequency (%)
. 7174
19.1%
0 5830
15.5%
* 5763
15.3%
1 3152
8.4%
8 2864
 
7.6%
5 2361
 
6.3%
2 2131
 
5.7%
1850
 
4.9%
3 1647
 
4.4%
7 1510
 
4.0%
Other values (11) 3295
8.8%
Latin
ValueCountFrequency (%)
O 43
46.7%
X 32
34.8%
o 10
 
10.9%
x 3
 
3.3%
m 3
 
3.3%
K 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37666
97.3%
Hangul 1035
 
2.7%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 7174
19.0%
0 5830
15.5%
* 5763
15.3%
1 3152
8.4%
8 2864
 
7.6%
5 2361
 
6.3%
2 2131
 
5.7%
1850
 
4.9%
3 1647
 
4.4%
7 1510
 
4.0%
Other values (16) 3384
9.0%
Hangul
ValueCountFrequency (%)
이 194
18.7%
높 191
18.5%
용 92
 
8.9%
점 90
 
8.7%
로 90
 
8.7%
도 88
 
8.5%
고 15
 
1.4%
인 12
 
1.2%
신 12
 
1.2%
제 10
 
1.0%
Other values (94) 241
23.3%
Punctuation
ValueCountFrequency (%)
※ 3
100.0%

광고물규격
Text

Distinct1635
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-03-15T03:08:13.807411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length6.7042202
Min length3

Characters and Unicode

Total characters37014
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1137 ?
Unique (%)20.6%

Sample

1st row0.8*3.5
2nd row4*1.2
3rd row0.8*2
4th row150*480
5th row1.86*5
ValueCountFrequency (%)
0.8*2 395
 
6.7%
0.8*3 380
 
6.4%
0.8*4 191
 
3.2%
0.8*2.5 172
 
2.9%
0.7*2 106
 
1.8%
0.5*0.2 88
 
1.5%
0.7*3 88
 
1.5%
0.8*1.5 84
 
1.4%
0.8*3.5 77
 
1.3%
0.8*5 77
 
1.3%
Other values (1494) 4253
72.0%
2024-03-15T03:08:15.703368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 7133
19.3%
0 5816
15.7%
* 5743
15.5%
1 3123
8.4%
8 2848
 
7.7%
5 2341
 
6.3%
2 2111
 
5.7%
3 1636
 
4.4%
1498
 
4.0%
7 1497
 
4.0%
Other values (15) 3268
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22060
59.6%
Other Punctuation 13054
35.3%
Space Separator 1498
 
4.0%
Other Letter 384
 
1.0%
Open Punctuation 9
 
< 0.1%
Close Punctuation 9
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5816
26.4%
1 3123
14.2%
8 2848
12.9%
5 2341
10.6%
2 2111
 
9.6%
3 1636
 
7.4%
7 1497
 
6.8%
4 1083
 
4.9%
6 1003
 
4.5%
9 602
 
2.7%
Other Letter
ValueCountFrequency (%)
높 179
46.6%
이 179
46.6%
네 6
 
1.6%
온 6
 
1.6%
싸 4
 
1.0%
인 4
 
1.0%
볼 4
 
1.0%
가 1
 
0.3%
로 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 7133
54.6%
* 5743
44.0%
: 178
 
1.4%
Space Separator
ValueCountFrequency (%)
1498
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36630
99.0%
Hangul 384
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 7133
19.5%
0 5816
15.9%
* 5743
15.7%
1 3123
8.5%
8 2848
 
7.8%
5 2341
 
6.4%
2 2111
 
5.8%
3 1636
 
4.5%
1498
 
4.1%
7 1497
 
4.1%
Other values (6) 2884
7.9%
Hangul
ValueCountFrequency (%)
높 179
46.6%
이 179
46.6%
네 6
 
1.6%
온 6
 
1.6%
싸 4
 
1.0%
인 4
 
1.0%
볼 4
 
1.0%
가 1
 
0.3%
로 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36630
99.0%
Hangul 384
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 7133
19.5%
0 5816
15.9%
* 5743
15.7%
1 3123
8.5%
8 2848
 
7.8%
5 2341
 
6.4%
2 2111
 
5.8%
3 1636
 
4.5%
1498
 
4.1%
7 1497
 
4.1%
Other values (6) 2884
7.9%
Hangul
ValueCountFrequency (%)
높 179
46.6%
이 179
46.6%
네 6
 
1.6%
온 6
 
1.6%
싸 4
 
1.0%
인 4
 
1.0%
볼 4
 
1.0%
가 1
 
0.3%
로 1
 
0.3%

수량
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
1
5312 
2
 
188
4
 
5
3
 
4
10
 
2
Other values (9)
 
10

Length

Max length2
Median length1
Mean length1.001449
Min length1

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5312
96.2%
2 188
 
3.4%
4 5
 
0.1%
3 4
 
0.1%
10 2
 
< 0.1%
8 2
 
< 0.1%
25 1
 
< 0.1%
22 1
 
< 0.1%
1] 1
 
< 0.1%
6 1
 
< 0.1%
Other values (4) 4
 
0.1%

Length

2024-03-15T03:08:16.133377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 5313
96.2%
2 188
 
3.4%
4 5
 
0.1%
3 4
 
0.1%
10 2
 
< 0.1%
8 2
 
< 0.1%
25 1
 
< 0.1%
22 1
 
< 0.1%
6 1
 
< 0.1%
18 1
 
< 0.1%
Other values (3) 3
 
0.1%

표시장소_지번
Text

Distinct2819
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-03-15T03:08:17.552046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length20.866329
Min length15

Characters and Unicode

Total characters115203
Distinct characters273
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1581 ?
Unique (%)28.6%

Sample

1st row울산광역시 동구 전하동 544-42
2nd row울산광역시 동구 서부동 244-5 새운상가
3rd row울산광역시 동구 서부동 319-7
4th row울산광역시 동구 화정동 640-43
5th row울산광역시 동구 방어동 1234
ValueCountFrequency (%)
울산광역시 5516
24.5%
동구 5515
24.5%
방어동 1523
 
6.8%
전하동 1186
 
5.3%
화정동 1131
 
5.0%
일산동 713
 
3.2%
서부동 459
 
2.0%
동부동 394
 
1.7%
주전동 109
 
0.5%
상가 34
 
0.2%
Other values (2910) 5956
26.4%
2024-03-15T03:08:19.312691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27924
24.2%
동 11505
 
10.0%
산 6289
 
5.5%
구 5573
 
4.8%
시 5547
 
4.8%
울 5546
 
4.8%
광 5520
 
4.8%
역 5517
 
4.8%
- 4911
 
4.3%
1 4887
 
4.2%
Other values (263) 31984
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58032
50.4%
Space Separator 27924
24.2%
Decimal Number 24089
20.9%
Dash Punctuation 4911
 
4.3%
Uppercase Letter 204
 
0.2%
Lowercase Letter 22
 
< 0.1%
Other Punctuation 9
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11505
19.8%
산 6289
10.8%
구 5573
9.6%
시 5547
9.6%
울 5546
9.6%
광 5520
9.5%
역 5517
9.5%
어 1536
 
2.6%
방 1529
 
2.6%
전 1332
 
2.3%
Other values (227) 8138
14.0%
Uppercase Letter
ValueCountFrequency (%)
B 83
40.7%
N 73
35.8%
A 11
 
5.4%
K 10
 
4.9%
C 10
 
4.9%
O 6
 
2.9%
E 3
 
1.5%
S 2
 
1.0%
H 2
 
1.0%
T 1
 
0.5%
Other values (3) 3
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 4887
20.3%
3 2649
11.0%
6 2645
11.0%
5 2515
10.4%
4 2321
9.6%
2 2285
9.5%
0 1910
 
7.9%
8 1766
 
7.3%
9 1635
 
6.8%
7 1476
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
e 14
63.6%
n 3
 
13.6%
b 2
 
9.1%
o 1
 
4.5%
w 1
 
4.5%
a 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
/ 2
 
22.2%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
27924
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4911
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58032
50.4%
Common 56945
49.4%
Latin 226
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11505
19.8%
산 6289
10.8%
구 5573
9.6%
시 5547
9.6%
울 5546
9.6%
광 5520
9.5%
역 5517
9.5%
어 1536
 
2.6%
방 1529
 
2.6%
전 1332
 
2.3%
Other values (227) 8138
14.0%
Latin
ValueCountFrequency (%)
B 83
36.7%
N 73
32.3%
e 14
 
6.2%
A 11
 
4.9%
K 10
 
4.4%
C 10
 
4.4%
O 6
 
2.7%
E 3
 
1.3%
n 3
 
1.3%
b 2
 
0.9%
Other values (9) 11
 
4.9%
Common
ValueCountFrequency (%)
27924
49.0%
- 4911
 
8.6%
1 4887
 
8.6%
3 2649
 
4.7%
6 2645
 
4.6%
5 2515
 
4.4%
4 2321
 
4.1%
2 2285
 
4.0%
0 1910
 
3.4%
8 1766
 
3.1%
Other values (7) 3132
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58030
50.4%
ASCII 57171
49.6%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27924
48.8%
- 4911
 
8.6%
1 4887
 
8.5%
3 2649
 
4.6%
6 2645
 
4.6%
5 2515
 
4.4%
4 2321
 
4.1%
2 2285
 
4.0%
0 1910
 
3.3%
8 1766
 
3.1%
Other values (26) 3358
 
5.9%
Hangul
ValueCountFrequency (%)
동 11505
19.8%
산 6289
10.8%
구 5573
9.6%
시 5547
9.6%
울 5546
9.6%
광 5520
9.5%
역 5517
9.5%
어 1536
 
2.6%
방 1529
 
2.6%
전 1332
 
2.3%
Other values (226) 8136
14.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 2
100.0%

표시장소_도로명
Text

MISSING 

Distinct2970
Distinct (%)57.8%
Missing385
Missing (%)7.0%
Memory size43.3 KiB
2024-03-15T03:08:21.360584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length43
Mean length23.590537
Min length19

Characters and Unicode

Total characters121161
Distinct characters422
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

Unique1747 ?
Unique (%)34.0%

Sample

1st row울산광역시 동구 녹수길 24 (전하동)
2nd row울산광역시 동구 명덕3길 40 (서부동 새운상가)
3rd row울산광역시 동구 방어진순환도로 1117 (서부동)
4th row울산광역시 동구 화정8길 26 (화정동)
5th row울산광역시 동구 방어진순환도로 30 (방어동)
ValueCountFrequency (%)
울산광역시 5131
19.6%
동구 5130
19.6%
방어동 1231
 
4.7%
전하동 1060
 
4.0%
화정동 997
 
3.8%
일산동 644
 
2.5%
방어진순환도로 606
 
2.3%
서부동 400
 
1.5%
동부동 311
 
1.2%
대학길 256
 
1.0%
Other values (1624) 10416
39.8%
2024-03-15T03:08:23.335532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21733
17.9%
동 10930
 
9.0%
산 6012
 
5.0%
울 5194
 
4.3%
구 5155
 
4.3%
시 5150
 
4.3%
) 5143
 
4.2%
( 5143
 
4.2%
광 5137
 
4.2%
역 5132
 
4.2%
Other values (412) 46432
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74052
61.1%
Space Separator 21733
 
17.9%
Decimal Number 14657
 
12.1%
Close Punctuation 5143
 
4.2%
Open Punctuation 5143
 
4.2%
Dash Punctuation 327
 
0.3%
Uppercase Letter 70
 
0.1%
Lowercase Letter 28
 
< 0.1%
Other Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10930
14.8%
산 6012
 
8.1%
울 5194
 
7.0%
구 5155
 
7.0%
시 5150
 
7.0%
광 5137
 
6.9%
역 5132
 
6.9%
길 3192
 
4.3%
어 1972
 
2.7%
방 1969
 
2.7%
Other values (374) 24209
32.7%
Uppercase Letter
ValueCountFrequency (%)
B 12
17.1%
C 11
15.7%
K 10
14.3%
A 10
14.3%
O 6
8.6%
S 5
7.1%
G 4
 
5.7%
D 3
 
4.3%
E 3
 
4.3%
T 2
 
2.9%
Other values (3) 4
 
5.7%
Decimal Number
ValueCountFrequency (%)
1 3186
21.7%
2 1925
13.1%
3 1555
10.6%
4 1452
9.9%
5 1449
9.9%
6 1288
8.8%
7 1047
 
7.1%
8 997
 
6.8%
0 923
 
6.3%
9 835
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
e 15
53.6%
p 3
 
10.7%
c 3
 
10.7%
b 2
 
7.1%
k 1
 
3.6%
n 1
 
3.6%
w 1
 
3.6%
o 1
 
3.6%
a 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
21733
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 327
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74052
61.1%
Common 47011
38.8%
Latin 98
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10930
14.8%
산 6012
 
8.1%
울 5194
 
7.0%
구 5155
 
7.0%
시 5150
 
7.0%
광 5137
 
6.9%
역 5132
 
6.9%
길 3192
 
4.3%
어 1972
 
2.7%
방 1969
 
2.7%
Other values (374) 24209
32.7%
Latin
ValueCountFrequency (%)
e 15
15.3%
B 12
12.2%
C 11
11.2%
K 10
10.2%
A 10
10.2%
O 6
 
6.1%
S 5
 
5.1%
G 4
 
4.1%
D 3
 
3.1%
E 3
 
3.1%
Other values (12) 19
19.4%
Common
ValueCountFrequency (%)
21733
46.2%
) 5143
 
10.9%
( 5143
 
10.9%
1 3186
 
6.8%
2 1925
 
4.1%
3 1555
 
3.3%
4 1452
 
3.1%
5 1449
 
3.1%
6 1288
 
2.7%
7 1047
 
2.2%
Other values (6) 3090
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74052
61.1%
ASCII 47109
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21733
46.1%
) 5143
 
10.9%
( 5143
 
10.9%
1 3186
 
6.8%
2 1925
 
4.1%
3 1555
 
3.3%
4 1452
 
3.1%
5 1449
 
3.1%
6 1288
 
2.7%
7 1047
 
2.2%
Other values (28) 3188
 
6.8%
Hangul
ValueCountFrequency (%)
동 10930
14.8%
산 6012
 
8.1%
울 5194
 
7.0%
구 5155
 
7.0%
시 5150
 
7.0%
광 5137
 
6.9%
역 5132
 
6.9%
길 3192
 
4.3%
어 1972
 
2.7%
방 1969
 
2.7%
Other values (374) 24209
32.7%

표시행정동
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
방어동
1514 
화정동
1047 
일산동
711 
전하2동
657 
전하1동
525 
Other values (9)
1067 

Length

Max length4
Median length3
Mean length3.3925014
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row전하1동
2nd row남목2동
3rd row남목1동
4th row화정동
5th row방어동

Common Values

ValueCountFrequency (%)
방어동 1514
27.4%
화정동 1047
19.0%
일산동 711
12.9%
전하2동 657
11.9%
전하1동 525
 
9.5%
남목3동 378
 
6.8%
남목1동 374
 
6.8%
남목2동 207
 
3.7%
대송동 80
 
1.4%
<NA> 22
 
0.4%
Other values (4) 6
 
0.1%

Length

2024-03-15T03:08:23.771532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방어동 1514
27.4%
화정동 1047
19.0%
일산동 711
12.9%
전하2동 657
11.9%
전하1동 525
 
9.5%
남목3동 378
 
6.8%
남목1동 374
 
6.8%
남목2동 207
 
3.7%
대송동 80
 
1.4%
na 22
 
0.4%
Other values (4) 6
 
0.1%

표시법정동
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
방어동
1523 
전하동
1186 
화정동
1131 
일산동
713 
서부동
459 
Other values (6)
509 

Length

Max length3
Median length3
Mean length2.9998189
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row전하동
2nd row서부동
3rd row서부동
4th row화정동
5th row방어동

Common Values

ValueCountFrequency (%)
방어동 1523
27.6%
전하동 1186
21.5%
화정동 1131
20.5%
일산동 713
12.9%
서부동 459
 
8.3%
동부동 394
 
7.1%
주전동 109
 
2.0%
양재동 3
 
0.1%
신정동 1
 
< 0.1%
장동 1
 
< 0.1%

Length

2024-03-15T03:08:24.176622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방어동 1523
27.6%
전하동 1186
21.5%
화정동 1131
20.5%
일산동 713
12.9%
서부동 459
 
8.3%
동부동 394
 
7.1%
주전동 109
 
2.0%
양재동 3
 
0.1%
신정동 1
 
< 0.1%
장동 1
 
< 0.1%

광고주주소
Text

Distinct3574
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-03-15T03:08:25.446496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length51
Mean length26.207571
Min length4

Characters and Unicode

Total characters144692
Distinct characters392
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2500 ?
Unique (%)45.3%

Sample

1st row울산광역시 동구 전하동 544번지 42호
2nd row울산광역시 동구 서부동 244번지 5호새운상가
3rd row울산광역시 동구 서부동 248번지 24호31통 4반 성원상떼빌아파트 112동 802호
4th row울산광역시 동구 전하동 658번지 1호13통 4반 일산아파트 29동 406호
5th row울산광역시 동구 방어동 1234번지
ValueCountFrequency (%)
울산광역시 5018
 
16.6%
동구 4687
 
15.5%
방어동 1358
 
4.5%
전하동 1009
 
3.3%
화정동 1008
 
3.3%
일산동 503
 
1.7%
서부동 391
 
1.3%
1반 323
 
1.1%
동부동 314
 
1.0%
1호 303
 
1.0%
Other values (2943) 15363
50.7%
2024-03-15T03:08:26.932072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31691
21.9%
동 10940
 
7.6%
1 6966
 
4.8%
산 5809
 
4.0%
호 5462
 
3.8%
시 5264
 
3.6%
구 5202
 
3.6%
울 5178
 
3.6%
광 5108
 
3.5%
역 5094
 
3.5%
Other values (382) 57978
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80396
55.6%
Decimal Number 32143
 
22.2%
Space Separator 31691
 
21.9%
Uppercase Letter 307
 
0.2%
Dash Punctuation 98
 
0.1%
Lowercase Letter 28
 
< 0.1%
Other Punctuation 20
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10940
13.6%
산 5809
 
7.2%
호 5462
 
6.8%
시 5264
 
6.5%
구 5202
 
6.5%
울 5178
 
6.4%
광 5108
 
6.4%
역 5094
 
6.3%
지 4974
 
6.2%
번 4825
 
6.0%
Other values (336) 22540
28.0%
Uppercase Letter
ValueCountFrequency (%)
B 79
25.7%
A 62
20.2%
N 52
16.9%
K 19
 
6.2%
P 15
 
4.9%
I 13
 
4.2%
C 13
 
4.2%
S 11
 
3.6%
R 11
 
3.6%
G 9
 
2.9%
Other values (9) 23
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 6966
21.7%
2 3793
11.8%
0 3460
10.8%
3 3349
10.4%
5 3078
9.6%
4 2980
9.3%
6 2898
9.0%
8 2005
 
6.2%
9 1841
 
5.7%
7 1773
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
e 20
71.4%
a 2
 
7.1%
p 1
 
3.6%
i 1
 
3.6%
v 1
 
3.6%
n 1
 
3.6%
w 1
 
3.6%
o 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
' 10
50.0%
. 8
40.0%
/ 1
 
5.0%
& 1
 
5.0%
Space Separator
ValueCountFrequency (%)
31691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80396
55.6%
Common 63960
44.2%
Latin 336
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10940
13.6%
산 5809
 
7.2%
호 5462
 
6.8%
시 5264
 
6.5%
구 5202
 
6.5%
울 5178
 
6.4%
광 5108
 
6.4%
역 5094
 
6.3%
지 4974
 
6.2%
번 4825
 
6.0%
Other values (336) 22540
28.0%
Latin
ValueCountFrequency (%)
B 79
23.5%
A 62
18.5%
N 52
15.5%
e 20
 
6.0%
K 19
 
5.7%
P 15
 
4.5%
I 13
 
3.9%
C 13
 
3.9%
S 11
 
3.3%
R 11
 
3.3%
Other values (18) 41
12.2%
Common
ValueCountFrequency (%)
31691
49.5%
1 6966
 
10.9%
2 3793
 
5.9%
0 3460
 
5.4%
3 3349
 
5.2%
5 3078
 
4.8%
4 2980
 
4.7%
6 2898
 
4.5%
8 2005
 
3.1%
9 1841
 
2.9%
Other values (8) 1899
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80394
55.6%
ASCII 64295
44.4%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31691
49.3%
1 6966
 
10.8%
2 3793
 
5.9%
0 3460
 
5.4%
3 3349
 
5.2%
5 3078
 
4.8%
4 2980
 
4.6%
6 2898
 
4.5%
8 2005
 
3.1%
9 1841
 
2.9%
Other values (35) 2234
 
3.5%
Hangul
ValueCountFrequency (%)
동 10940
13.6%
산 5809
 
7.2%
호 5462
 
6.8%
시 5264
 
6.5%
구 5202
 
6.5%
울 5178
 
6.4%
광 5108
 
6.4%
역 5094
 
6.3%
지 4974
 
6.2%
번 4825
 
6.0%
Other values (335) 22538
28.0%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

Correlations

2024-03-15T03:08:27.261101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광고물종류수량표시행정동표시법정동
광고물종류1.0000.5330.5060.512
수량0.5331.0000.6360.644
표시행정동0.5060.6361.0000.984
표시법정동0.5120.6440.9841.000
2024-03-15T03:08:27.520044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
표시법정동표시행정동수량광고물종류
표시법정동1.0000.9320.3170.246
표시행정동0.9321.0000.2890.237
수량0.3170.2891.0000.247
광고물종류0.2460.2370.2471.000
2024-03-15T03:08:27.788787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광고물종류수량표시행정동표시법정동
광고물종류1.0000.2470.2370.246
수량0.2471.0000.2890.317
표시행정동0.2370.2891.0000.932
표시법정동0.2460.3170.9321.000

Missing values

2024-03-15T03:08:05.184683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:08:05.670262image/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

광고물종류업소명규격광고물규격수량표시장소_지번표시장소_도로명표시행정동표시법정동광고주주소
0돌출간판무지개노래타운0.8*3.50.8*3.51울산광역시 동구 전하동 544-42울산광역시 동구 녹수길 24 (전하동)전하1동전하동울산광역시 동구 전하동 544번지 42호
1벽면이용간판(가로형)샵네일4*1.24*1.21울산광역시 동구 서부동 244-5 새운상가울산광역시 동구 명덕3길 40 (서부동 새운상가)남목2동서부동울산광역시 동구 서부동 244번지 5호새운상가
2돌출간판(쇼)카이텔레콤0.8*20.8*21울산광역시 동구 서부동 319-7울산광역시 동구 방어진순환도로 1117 (서부동)남목1동서부동울산광역시 동구 서부동 248번지 24호31통 4반 성원상떼빌아파트 112동 802호
3벽면이용간판(가로형)(주) 한우촌150*480150*4801울산광역시 동구 화정동 640-43울산광역시 동구 화정8길 26 (화정동)화정동화정동울산광역시 동구 전하동 658번지 1호13통 4반 일산아파트 29동 406호
4지주이용 간판(주)KCC울산공장1.86*51.86*51울산광역시 동구 방어동 1234울산광역시 동구 방어진순환도로 30 (방어동)방어동방어동울산광역시 동구 방어동 1234번지
5벽면이용간판(가로형)(주)KCC울산공장14.76*3.414.76*3.41울산광역시 동구 방어동 1234울산광역시 동구 방어진순환도로 30 (방어동)방어동방어동울산광역시 동구 방어동 1234번지
6돌출간판(주)가원건축0.6*30.6*31울산광역시 동구 방어동 1041-2울산광역시 동구 꽃바위로 167 (방어동)방어동방어동울산광역시 중구 우정동 280번지 31호6통 4반
7벽면이용간판(가로형)(주)가원건축6*0.96*0.91울산광역시 동구 방어동 1041-2울산광역시 동구 꽃바위로 167 (방어동)방어동방어동울산광역시 중구 우정동 280번지 31호6통 4반
8돌출간판(주)강성산업0.8*20.8*21울산광역시 동구 일산동 466-14울산광역시 동구 학문로 18 (일산동)일산동일산동울산광역시 동구 일산동 466번지 14호
9돌출간판(주)비겐의료기0.8*3.20.8*3.21울산광역시 동구 전하동 635-2울산광역시 동구 진성2길 35 (전하동)전하1동전하동경기도 여주시 가남읍 태평리 4통 동명주택 사동 101호
광고물종류업소명규격광고물규격수량표시장소_지번표시장소_도로명표시행정동표시법정동광고주주소
5511돌출간판힐링엔젤스0.6*0.60.6*0.61울산광역시 동구 전하동 550-47 청솔울산광역시 동구 녹수12길 8 청솔 (전하동)전하1동전하동울산광역시 동구 전하동 550번지 47호청솔
5512벽면이용간판(가로형)힐링엔젤스4.7*0.74.7*0.71울산광역시 동구 전하동 550-47 청솔울산광역시 동구 녹수12길 8 청솔 (전하동)전하1동전하동울산광역시 동구 전하동 550번지 47호청솔
5513벽면이용간판(가로형)힐링하우스9*1.4 4.5*1.49*1.4 4.5*1.41울산광역시 동구 전하동 648-16울산광역시 동구 진성12길 87 (전하동)전하2동전하동울산광역시 동구 전하동 648번지 16호
5514돌출간판힐사이드120*370120*3701울산광역시 동구 전하동 656-6<NA>전하2동전하동울산광역시 동구 전하동 626번지 6호1통 2반
5515지주이용 간판힐튼노래연습장0.8*30.8*31울산광역시 동구 전하동 619-3울산광역시 동구 전하로 19 (전하동)전하1동전하동울산광역시 동구 전하동 301번지 28호13통 4반 대경넥스빌 105동 2202호
5516지주이용 간판힐튼노래연습장(표시장소:262-4)0.8*4 : 건물(274-1) 지주이용 설치 장소 다름0.8*41울산광역시 동구 동부동 262-4울산광역시 동구 남목16길 1 (동부동)남목1동동부동서울특별시 관악구 신림동 25통 2반 메리트홈 504호
5517지주이용 간판힐튼모텔0.8*3.80.8*3.81울산광역시 동구 동부동 262-4울산광역시 동구 남목16길 1 (동부동)남목1동동부동울산광역시 동구 동부동 2통 1반
5518옥상간판힐튼모텔8*0.98*0.91울산광역시 동구 동부동 274-1울산광역시 동구 남목16길 10 (동부동)남목3동동부동울산광역시 동구 동부동 2통 1반
5519돌출간판힘찬공인중개사사무소0.7*1.50.7*1.51울산광역시 동구 전하동 543-21울산광역시 동구 녹수길 73 (전하동)전하1동전하동울산광역시 동구 전하동 763번지 1호
5520돌출간판동아대힘찬태권도0.75*4.50.75*4.51울산광역시 동구 방어동 911-5울산광역시 동구 월봉4길 58 (방어동)방어동방어동울산광역시 동구 방어동 911번지 5호

Duplicate rows

Most frequently occurring

광고물종류업소명규격광고물규격수량표시장소_지번표시장소_도로명표시행정동표시법정동광고주주소# duplicates
1공공시설물이용 광고물(주)쓰리디허브시스템즈1.74*1.041.74*1.041울산광역시 동구 일산동 955-4울산광역시 동구 해수욕장길 27 (일산동)일산동일산동울산광역시 남구 달동 1301번지 8호4층3
4교통수단이용 광고물(주)피피더블유코리아1.42*0.73 2.82*0.731.42*0.73 2.82*0.731서울특별시 서초구 양재동 318-3서울특별시 서초구 강남대로12길 31 (양재동)양재1동양재동서울특별시 서초구 양재동 318번지 3호3
0공공시설물이용 광고물(주)쓰리디허브시스템즈1.74*1.041.74*1.041울산광역시 동구 일산동 0 일산해수욕장 행정봉사실울산광역시 동구 해수욕장10길 7 일산해수욕장 행정봉사실 (일산동)일산동일산동울산광역시 남구 달동 1301번지 8호4층2
2공공시설물이용 광고물(주)쓰리디허브시스템즈1.74*1.041.74*1.041울산광역시 동구 일산동 956-1울산광역시 동구 해수욕장길 12 (일산동)일산동일산동울산광역시 남구 달동 1301번지 8호4층2
3공공시설물이용 광고물(주)쓰리디허브시스템즈1.74*1.041.74*1.041울산광역시 동구 일산동 958-9울산광역시 동구 해수욕장길 28 (일산동)일산동일산동울산광역시 남구 달동 1301번지 8호4층2
5돌출간판섬진강민물매운탕70*24070*2401울산광역시 동구 방어동 1021-15울산광역시 동구 꽃바위로 211 (방어동)방어동방어동울산광역시 동구 방어동 925번지 1호17통 5반 다운빌라 A동 101호2
6벽면이용간판(가로형)제일기획12*1.212*1.21울산광역시 동구 전하동 650-18울산광역시 동구 진성11길 88 (전하동)전하1동전하동울산광역시 동구 전하동 650번지 18호4통 4반2
7벽면이용간판(가로형)주식회사 우상개발5.7*2.525.7*2.521울산광역시 동구 방어동 58-2울산광역시 동구 등대로 50(방어동)방어동방어동울산광역시 동구 방어동 58번지 2호2
8벽면이용간판(가로형)프레쉬푸드마켓15.9*0.915.9*0.91울산광역시 동구 방어동 1129-1울산광역시 동구 문현로 22(방어동)방어동방어동울산광역시 동구 방어동 1129번지 1호2
9벽면이용간판(가로형)하나은행 동울산지점16.5*116.5*11울산광역시 동구 서부동울산광역시 동구 명덕로 15(서부동)남목2동서부동2