Overview

Dataset statistics

Number of variables5
Number of observations4074
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory163.2 KiB
Average record size in memory41.0 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description속초시 옥외광고물 현황에 대한 데이터입니다. 광고물 종류, 업소명, 광고물규격, 주소 데이터가 포함되어 있습니다.
Author강원도 속초시
URLhttps://www.data.go.kr/data/15112108/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:18:30.184992
Analysis finished2023-12-12 18:18:31.116461
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct4074
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2037.5
Minimum1
Maximum4074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.9 KiB
2023-12-13T03:18:31.187459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile204.65
Q11019.25
median2037.5
Q33055.75
95-th percentile3870.35
Maximum4074
Range4073
Interquartile range (IQR)2036.5

Descriptive statistics

Standard deviation1176.2068
Coefficient of variation (CV)0.57727942
Kurtosis-1.2
Mean2037.5
Median Absolute Deviation (MAD)1018.5
Skewness0
Sum8300775
Variance1383462.5
MonotonicityStrictly increasing
2023-12-13T03:18:31.334563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2722 1
 
< 0.1%
2709 1
 
< 0.1%
2710 1
 
< 0.1%
2711 1
 
< 0.1%
2712 1
 
< 0.1%
2713 1
 
< 0.1%
2714 1
 
< 0.1%
2715 1
 
< 0.1%
2716 1
 
< 0.1%
Other values (4064) 4064
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4074 1
< 0.1%
4073 1
< 0.1%
4072 1
< 0.1%
4071 1
< 0.1%
4070 1
< 0.1%
4069 1
< 0.1%
4068 1
< 0.1%
4067 1
< 0.1%
4066 1
< 0.1%
4065 1
< 0.1%

광고물종류
Categorical

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size32.0 KiB
벽면이용간판(가로형)
1516 
돌출간판
1214 
지주이용 간판
842 
가로형간판_입체형
261 
옥상간판
 
146
Other values (6)
 
95

Length

Max length11
Median length10
Mean length7.6570938
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
벽면이용간판(가로형) 1516
37.2%
돌출간판 1214
29.8%
지주이용 간판 842
20.7%
가로형간판_입체형 261
 
6.4%
옥상간판 146
 
3.6%
교통수단이용 광고물 38
 
0.9%
벽면이용간판(세로형) 34
 
0.8%
기타 11
 
0.3%
애드벌룬 7
 
0.2%
현수막게시틀 3
 
0.1%

Length

2023-12-13T03:18:31.490770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
벽면이용간판(가로형 1516
30.6%
돌출간판 1214
24.5%
지주이용 842
17.0%
간판 842
17.0%
가로형간판_입체형 261
 
5.3%
옥상간판 146
 
2.9%
교통수단이용 38
 
0.8%
광고물 38
 
0.8%
벽면이용간판(세로형 34
 
0.7%
기타 11
 
0.2%
Other values (3) 12
 
0.2%

업소명
Text

Distinct2813
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size32.0 KiB
2023-12-13T03:18:31.803042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length6.514973
Min length1

Characters and Unicode

Total characters26542
Distinct characters774
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1779 ?
Unique (%)43.7%

Sample

1st rowCU 속초 영랑호수점
2nd rowCU 속초영랑호수점
3rd rowCU속초영랑호수점
4th row역전할머니 맥주 속초 조양점
5th row역전할머니맥주 속초조양점
ValueCountFrequency (%)
속초점 66
 
1.3%
gs25 44
 
0.9%
속초 21
 
0.4%
조양점 20
 
0.4%
속초지점 17
 
0.3%
pc방 14
 
0.3%
훼미리마트 13
 
0.3%
씨유 13
 
0.3%
사무소 12
 
0.2%
이마트 10
 
0.2%
Other values (3044) 4660
95.3%
2023-12-13T03:18:32.245517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
818
 
3.1%
초 645
 
2.4%
속 621
 
2.3%
점 576
 
2.2%
이 488
 
1.8%
스 432
 
1.6%
리 384
 
1.4%
대 373
 
1.4%
동 361
 
1.4%
사 341
 
1.3%
Other values (764) 21503
81.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23683
89.2%
Uppercase Letter 936
 
3.5%
Space Separator 818
 
3.1%
Decimal Number 323
 
1.2%
Lowercase Letter 316
 
1.2%
Open Punctuation 215
 
0.8%
Close Punctuation 215
 
0.8%
Other Punctuation 26
 
0.1%
Dash Punctuation 7
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 645
 
2.7%
속 621
 
2.6%
점 576
 
2.4%
이 488
 
2.1%
스 432
 
1.8%
리 384
 
1.6%
대 373
 
1.6%
동 361
 
1.5%
사 341
 
1.4%
장 327
 
1.4%
Other values (694) 19135
80.8%
Uppercase Letter
ValueCountFrequency (%)
S 154
16.5%
G 119
12.7%
C 84
 
9.0%
P 64
 
6.8%
K 61
 
6.5%
L 49
 
5.2%
O 49
 
5.2%
T 49
 
5.2%
B 40
 
4.3%
A 36
 
3.8%
Other values (16) 231
24.7%
Lowercase Letter
ValueCountFrequency (%)
e 39
12.3%
s 26
 
8.2%
l 25
 
7.9%
t 25
 
7.9%
o 24
 
7.6%
a 19
 
6.0%
c 17
 
5.4%
n 16
 
5.1%
h 15
 
4.7%
r 15
 
4.7%
Other values (13) 95
30.1%
Decimal Number
ValueCountFrequency (%)
2 115
35.6%
5 89
27.6%
0 33
 
10.2%
4 25
 
7.7%
1 23
 
7.1%
3 18
 
5.6%
9 8
 
2.5%
8 6
 
1.9%
6 4
 
1.2%
7 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
& 15
57.7%
. 8
30.8%
? 1
 
3.8%
' 1
 
3.8%
· 1
 
3.8%
Space Separator
ValueCountFrequency (%)
818
100.0%
Open Punctuation
ValueCountFrequency (%)
( 215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 215
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23683
89.2%
Common 1606
 
6.1%
Latin 1253
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 645
 
2.7%
속 621
 
2.6%
점 576
 
2.4%
이 488
 
2.1%
스 432
 
1.8%
리 384
 
1.6%
대 373
 
1.6%
동 361
 
1.5%
사 341
 
1.4%
장 327
 
1.4%
Other values (694) 19135
80.8%
Latin
ValueCountFrequency (%)
S 154
 
12.3%
G 119
 
9.5%
C 84
 
6.7%
P 64
 
5.1%
K 61
 
4.9%
L 49
 
3.9%
O 49
 
3.9%
T 49
 
3.9%
B 40
 
3.2%
e 39
 
3.1%
Other values (40) 545
43.5%
Common
ValueCountFrequency (%)
818
50.9%
( 215
 
13.4%
) 215
 
13.4%
2 115
 
7.2%
5 89
 
5.5%
0 33
 
2.1%
4 25
 
1.6%
1 23
 
1.4%
3 18
 
1.1%
& 15
 
0.9%
Other values (10) 40
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23683
89.2%
ASCII 2857
 
10.8%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
818
28.6%
( 215
 
7.5%
) 215
 
7.5%
S 154
 
5.4%
G 119
 
4.2%
2 115
 
4.0%
5 89
 
3.1%
C 84
 
2.9%
P 64
 
2.2%
K 61
 
2.1%
Other values (58) 923
32.3%
Hangul
ValueCountFrequency (%)
초 645
 
2.7%
속 621
 
2.6%
점 576
 
2.4%
이 488
 
2.1%
스 432
 
1.8%
리 384
 
1.6%
대 373
 
1.6%
동 361
 
1.5%
사 341
 
1.4%
장 327
 
1.4%
Other values (694) 19135
80.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

광고물규격
Text

Distinct2186
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size32.0 KiB
2023-12-13T03:18:32.590462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length41
Mean length8.5373098
Min length1

Characters and Unicode

Total characters34781
Distinct characters42
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

Unique1669 ?
Unique (%)41.0%

Sample

1st row0.8*4.95 0.8*4.95
2nd row12.64*0.8
3rd row8.8*0.8
4th row7.6*1.1
5th row0.8*5 0.8*5
ValueCountFrequency (%)
0.8*3 164
 
3.2%
0.8*4 154
 
3.0%
0.8*2 79
 
1.6%
높이:0 77
 
1.5%
0.7*3 75
 
1.5%
0.8*5 64
 
1.3%
높이:5 63
 
1.2%
0.7*2 53
 
1.0%
높이:4 48
 
1.0%
0.8*3.5 45
 
0.9%
Other values (1862) 4228
83.7%
2023-12-13T03:18:33.094359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6661
19.2%
* 4710
13.5%
3678
10.6%
0 3259
9.4%
1 3141
9.0%
5 1954
 
5.6%
8 1848
 
5.3%
2 1694
 
4.9%
7 1393
 
4.0%
3 1351
 
3.9%
Other values (32) 5092
14.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17808
51.2%
Other Punctuation 11786
33.9%
Space Separator 3678
 
10.6%
Other Letter 892
 
2.6%
Lowercase Letter 202
 
0.6%
Open Punctuation 202
 
0.6%
Close Punctuation 201
 
0.6%
Uppercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
높 413
46.3%
이 413
46.3%
면 48
 
5.4%
개 2
 
0.2%
자 2
 
0.2%
점 1
 
0.1%
측 1
 
0.1%
대 1
 
0.1%
차 1
 
0.1%
동 1
 
0.1%
Other values (9) 9
 
1.0%
Decimal Number
ValueCountFrequency (%)
0 3259
18.3%
1 3141
17.6%
5 1954
11.0%
8 1848
10.4%
2 1694
9.5%
7 1393
7.8%
3 1351
7.6%
4 1196
 
6.7%
6 1159
 
6.5%
9 813
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 6661
56.5%
* 4710
40.0%
: 413
 
3.5%
/ 2
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
m 197
97.5%
h 5
 
2.5%
Open Punctuation
ValueCountFrequency (%)
[ 167
82.7%
( 35
 
17.3%
Close Punctuation
ValueCountFrequency (%)
] 167
83.1%
) 34
 
16.9%
Uppercase Letter
ValueCountFrequency (%)
M 11
91.7%
H 1
 
8.3%
Space Separator
ValueCountFrequency (%)
3678
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33675
96.8%
Hangul 892
 
2.6%
Latin 214
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6661
19.8%
* 4710
14.0%
3678
10.9%
0 3259
9.7%
1 3141
9.3%
5 1954
 
5.8%
8 1848
 
5.5%
2 1694
 
5.0%
7 1393
 
4.1%
3 1351
 
4.0%
Other values (9) 3986
11.8%
Hangul
ValueCountFrequency (%)
높 413
46.3%
이 413
46.3%
면 48
 
5.4%
개 2
 
0.2%
자 2
 
0.2%
점 1
 
0.1%
측 1
 
0.1%
대 1
 
0.1%
차 1
 
0.1%
동 1
 
0.1%
Other values (9) 9
 
1.0%
Latin
ValueCountFrequency (%)
m 197
92.1%
M 11
 
5.1%
h 5
 
2.3%
H 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33889
97.4%
Hangul 892
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6661
19.7%
* 4710
13.9%
3678
10.9%
0 3259
9.6%
1 3141
9.3%
5 1954
 
5.8%
8 1848
 
5.5%
2 1694
 
5.0%
7 1393
 
4.1%
3 1351
 
4.0%
Other values (13) 4200
12.4%
Hangul
ValueCountFrequency (%)
높 413
46.3%
이 413
46.3%
면 48
 
5.4%
개 2
 
0.2%
자 2
 
0.2%
점 1
 
0.1%
측 1
 
0.1%
대 1
 
0.1%
차 1
 
0.1%
동 1
 
0.1%
Other values (9) 9
 
1.0%

표시장소도로명
Text

Distinct1943
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Memory size32.0 KiB
2023-12-13T03:18:33.507175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length47
Mean length22.45189
Min length1

Characters and Unicode

Total characters91469
Distinct characters260
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

Unique930 ?
Unique (%)22.8%

Sample

1st row강원도 속초시 번영로97번길 50(동명동)
2nd row강원도 속초시 번영로97번길 50(동명동)
3rd row강원도 속초시 번영로97번길 50(동명동)
4th row강원도 속초시 조양로 74(조양동)
5th row강원도 속초시 조양로 74(조양동)
ValueCountFrequency (%)
강원도 4066
19.5%
속초시 4057
19.5%
교동 1132
 
5.4%
조양동 1012
 
4.9%
중앙로 853
 
4.1%
동해대로 777
 
3.7%
청학동 274
 
1.3%
노학동 263
 
1.3%
중앙동 263
 
1.3%
동명동 253
 
1.2%
Other values (1286) 7892
37.9%
2023-12-13T03:18:34.089823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17119
18.7%
동 5236
 
5.7%
시 4269
 
4.7%
초 4184
 
4.6%
원 4160
 
4.5%
도 4116
 
4.5%
강 4109
 
4.5%
속 4078
 
4.5%
( 4071
 
4.5%
) 4071
 
4.5%
Other values (250) 36056
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52449
57.3%
Space Separator 17119
 
18.7%
Decimal Number 13174
 
14.4%
Open Punctuation 4071
 
4.5%
Close Punctuation 4071
 
4.5%
Dash Punctuation 548
 
0.6%
Uppercase Letter 25
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5236
 
10.0%
시 4269
 
8.1%
초 4184
 
8.0%
원 4160
 
7.9%
도 4116
 
7.8%
강 4109
 
7.8%
속 4078
 
7.8%
로 3330
 
6.3%
교 1271
 
2.4%
앙 1259
 
2.4%
Other values (224) 16437
31.3%
Decimal Number
ValueCountFrequency (%)
1 2854
21.7%
3 1747
13.3%
2 1689
12.8%
4 1658
12.6%
0 1085
 
8.2%
5 913
 
6.9%
9 893
 
6.8%
7 814
 
6.2%
8 804
 
6.1%
6 717
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
E 10
40.0%
S 8
32.0%
K 2
 
8.0%
B 2
 
8.0%
M 1
 
4.0%
A 1
 
4.0%
Y 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
/ 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
17119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4071
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4071
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 548
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52448
57.3%
Common 38992
42.6%
Latin 28
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5236
 
10.0%
시 4269
 
8.1%
초 4184
 
8.0%
원 4160
 
7.9%
도 4116
 
7.8%
강 4109
 
7.8%
속 4078
 
7.8%
로 3330
 
6.3%
교 1271
 
2.4%
앙 1259
 
2.4%
Other values (223) 16436
31.3%
Common
ValueCountFrequency (%)
17119
43.9%
( 4071
 
10.4%
) 4071
 
10.4%
1 2854
 
7.3%
3 1747
 
4.5%
2 1689
 
4.3%
4 1658
 
4.3%
0 1085
 
2.8%
5 913
 
2.3%
9 893
 
2.3%
Other values (7) 2892
 
7.4%
Latin
ValueCountFrequency (%)
E 10
35.7%
S 8
28.6%
K 2
 
7.1%
e 2
 
7.1%
B 2
 
7.1%
b 1
 
3.6%
M 1
 
3.6%
A 1
 
3.6%
Y 1
 
3.6%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52448
57.3%
ASCII 39020
42.7%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17119
43.9%
( 4071
 
10.4%
) 4071
 
10.4%
1 2854
 
7.3%
3 1747
 
4.5%
2 1689
 
4.3%
4 1658
 
4.2%
0 1085
 
2.8%
5 913
 
2.3%
9 893
 
2.3%
Other values (16) 2920
 
7.5%
Hangul
ValueCountFrequency (%)
동 5236
 
10.0%
시 4269
 
8.1%
초 4184
 
8.0%
원 4160
 
7.9%
도 4116
 
7.8%
강 4109
 
7.8%
속 4078
 
7.8%
로 3330
 
6.3%
교 1271
 
2.4%
앙 1259
 
2.4%
Other values (223) 16436
31.3%
CJK
ValueCountFrequency (%)
內 1
100.0%

Interactions

2023-12-13T03:18:30.815206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:18:34.207733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번광고물종류
순번1.0000.226
광고물종류0.2261.000
2023-12-13T03:18:34.294277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번광고물종류
순번1.0000.098
광고물종류0.0981.000

Missing values

2023-12-13T03:18:30.959833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:18:31.068120image/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

순번광고물종류업소명광고물규격표시장소도로명
01지주이용 간판CU 속초 영랑호수점0.8*4.95 0.8*4.95강원도 속초시 번영로97번길 50(동명동)
12벽면이용간판(가로형)CU 속초영랑호수점12.64*0.8강원도 속초시 번영로97번길 50(동명동)
23벽면이용간판(가로형)CU속초영랑호수점8.8*0.8강원도 속초시 번영로97번길 50(동명동)
34벽면이용간판(가로형)역전할머니 맥주 속초 조양점7.6*1.1강원도 속초시 조양로 74(조양동)
45돌출간판역전할머니맥주 속초조양점0.8*5 0.8*5강원도 속초시 조양로 74(조양동)
56돌출간판믿음홈인테리어0.8*2 0.8*2강원도 속초시 번영로 184 세광빌딩 (영랑동)
67벽면이용간판(가로형)믿음홈인테리어6*1강원도 속초시 번영로 184 세광빌딩 (영랑동)
78벽면이용간판(가로형)신한은행 속초지점9.9*0.9강원도 속초시 중앙로 143-0 (중앙동)
89가로형간판_입체형머리박사6*0.55강원도 속초시 중앙로 71 (청학동)
910지주이용 간판판도라로스터즈0.8*5 0.8*5강원도 속초시 밤골5길 20(교동)
순번광고물종류업소명광고물규격표시장소도로명
40644065지주이용 간판쌍용3.7*1.3서울특별시 영등포구 여의대로 70 (여의도동)
40654066지주이용 간판엘지칼텍스 정유(주)2.6*2.8서울특별시 영등포구 여의대로 128 (여의도동)
40664067돌출간판플러스인터넷 게임방0.7*4.0강원도 속초시 수복로 74 (교동)
40674068돌출간판세븐나잇00.7*1.5강원도 속초시 중앙로 131 (중앙동)
40684069기타로얄파크1.6*8.95강원도 속초시 중앙로 260 (동명동)
40694070돌출간판로얄파크0.8*5강원도 속초시 중앙로 260 (동명동)
40704071지주이용 간판새서울모텔0.8*5.0강원도 속초시 청봉로5길 18 (설악동)
40714072지주이용 간판부림모텔1.0*6.0강원도 속초시 청봉로7길 17 (설악동)
40724073지주이용 간판뉴한미모텔0.8*4.4강원도 속초시 청봉로 153 (설악동)
40734074지주이용 간판그린파크장1.3*7.0강원도 속초시 설악산로 814 (설악동)