Overview

Dataset statistics

Number of variables11
Number of observations106
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory92.2 B

Variable types

Text3
Categorical6
Numeric1
DateTime1

Dataset

Description경상남도 거제시 현수막 게시대(공공용, 상업용) 현황 자료입니다. 현수막 게시대의 고유번호, 설치장소, 규격 등의 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079327

Alerts

시군구 has constant value ""Constant
규격(가로x세로) has constant value ""Constant
기준일 has constant value ""Constant
면 is highly overall correlated with 열High correlation
열 is highly overall correlated with 면High correlation
열 is highly imbalanced (53.0%)Imbalance

Reproduction

Analysis started2023-12-10 23:27:02.272759
Analysis finished2023-12-10 23:27:03.406405
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Text

Distinct102
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-11T08:27:03.620423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.9622642
Min length4

Characters and Unicode

Total characters526
Distinct characters14
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

Unique98 ?
Unique (%)92.5%

Sample

1st row상1-1
2nd row상1-2
3rd row상1-3
4th row상1-4
5th row상1-5
ValueCountFrequency (%)
행 38
26.4%
상7-2 2
 
1.4%
상19-2 2
 
1.4%
상17-4 2
 
1.4%
상16-2 2
 
1.4%
18-4 1
 
0.7%
9-3 1
 
0.7%
8-1 1
 
0.7%
7-1 1
 
0.7%
6-1 1
 
0.7%
Other values (93) 93
64.6%
2023-12-11T08:27:04.021381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 115
21.9%
- 106
20.2%
상 68
12.9%
행 38
 
7.2%
38
 
7.2%
2 33
 
6.3%
3 25
 
4.8%
4 21
 
4.0%
7 20
 
3.8%
6 17
 
3.2%
Other values (4) 45
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 276
52.5%
Dash Punctuation 106
 
20.2%
Other Letter 106
 
20.2%
Space Separator 38
 
7.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 115
41.7%
2 33
 
12.0%
3 25
 
9.1%
4 21
 
7.6%
7 20
 
7.2%
6 17
 
6.2%
5 17
 
6.2%
9 15
 
5.4%
8 11
 
4.0%
0 2
 
0.7%
Other Letter
ValueCountFrequency (%)
상 68
64.2%
행 38
35.8%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
79.8%
Hangul 106
 
20.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 115
27.4%
- 106
25.2%
38
 
9.0%
2 33
 
7.9%
3 25
 
6.0%
4 21
 
5.0%
7 20
 
4.8%
6 17
 
4.0%
5 17
 
4.0%
9 15
 
3.6%
Other values (2) 13
 
3.1%
Hangul
ValueCountFrequency (%)
상 68
64.2%
행 38
35.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
79.8%
Hangul 106
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 115
27.4%
- 106
25.2%
38
 
9.0%
2 33
 
7.9%
3 25
 
6.0%
4 21
 
5.0%
7 20
 
4.8%
6 17
 
4.0%
5 17
 
4.0%
9 15
 
3.6%
Other values (2) 13
 
3.1%
Hangul
ValueCountFrequency (%)
상 68
64.2%
행 38
35.8%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
경상남도 거제시
106 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 거제시
2nd row경상남도 거제시
3rd row경상남도 거제시
4th row경상남도 거제시
5th row경상남도 거제시

Common Values

ValueCountFrequency (%)
경상남도 거제시 106
100.0%

Length

2023-12-11T08:27:04.159164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:27:04.266710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 106
50.0%
거제시 106
50.0%

면동
Categorical

Distinct23
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size980.0 B
고현동
13 
장승포동
9 
일운면
8 
사등면
8 
아주동
8 
Other values (18)
60 

Length

Max length4
Median length3
Mean length3.2075472
Min length3

Unique

Unique4 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
고현동 13
12.3%
장승포동 9
 
8.5%
일운면 8
 
7.5%
사등면 8
 
7.5%
아주동 8
 
7.5%
수양동 8
 
7.5%
상문동 7
 
6.6%
장목면 7
 
6.6%
거제면 5
 
4.7%
장평동 4
 
3.8%
Other values (13) 29
27.4%

Length

2023-12-11T08:27:04.378113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고현동 13
12.3%
장승포동 9
 
8.5%
일운면 8
 
7.5%
사등면 8
 
7.5%
아주동 8
 
7.5%
수양동 8
 
7.5%
상문동 7
 
6.6%
장목면 7
 
6.6%
거제면 5
 
4.7%
연초면 4
 
3.8%
Other values (13) 29
27.4%

설치장소
Text

Distinct89
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-11T08:27:04.690402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.0566038
Min length3

Characters and Unicode

Total characters960
Distinct characters163
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

Unique84 ?
Unique (%)79.2%

Sample

1st row거원아파트 앞 국도변
2nd row일운주요소 앞 국도변
3rd row구조라 입구 국도변
4th row소동리 동성(아) 입구
5th row구조라 수정마을
ValueCountFrequency (%)
앞 21
 
8.6%
입구 20
 
8.2%
내 13
 
5.3%
주변 12
 
4.9%
면사무소 11
 
4.5%
동사무소 8
 
3.3%
4
 
1.6%
1 4
 
1.6%
국도변 4
 
1.6%
옆 4
 
1.6%
Other values (115) 144
58.8%
2023-12-11T08:27:05.132950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
14.7%
구 28
 
2.9%
소 28
 
2.9%
사 26
 
2.7%
입 26
 
2.7%
주 25
 
2.6%
앞 21
 
2.2%
아 21
 
2.2%
리 20
 
2.1%
변 20
 
2.1%
Other values (153) 604
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 756
78.8%
Space Separator 141
 
14.7%
Decimal Number 18
 
1.9%
Close Punctuation 16
 
1.7%
Open Punctuation 16
 
1.7%
Dash Punctuation 10
 
1.0%
Uppercase Letter 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 28
 
3.7%
소 28
 
3.7%
사 26
 
3.4%
입 26
 
3.4%
주 25
 
3.3%
앞 21
 
2.8%
아 21
 
2.8%
리 20
 
2.6%
변 20
 
2.6%
동 19
 
2.5%
Other values (144) 522
69.0%
Decimal Number
ValueCountFrequency (%)
1 9
50.0%
2 8
44.4%
4 1
 
5.6%
Space Separator
ValueCountFrequency (%)
141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 756
78.8%
Common 201
 
20.9%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 28
 
3.7%
소 28
 
3.7%
사 26
 
3.4%
입 26
 
3.4%
주 25
 
3.3%
앞 21
 
2.8%
아 21
 
2.8%
리 20
 
2.6%
변 20
 
2.6%
동 19
 
2.5%
Other values (144) 522
69.0%
Common
ValueCountFrequency (%)
141
70.1%
) 16
 
8.0%
( 16
 
8.0%
- 10
 
5.0%
1 9
 
4.5%
2 8
 
4.0%
4 1
 
0.5%
Latin
ValueCountFrequency (%)
C 2
66.7%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 756
78.8%
ASCII 204
 
21.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
69.1%
) 16
 
7.8%
( 16
 
7.8%
- 10
 
4.9%
1 9
 
4.4%
2 8
 
3.9%
C 2
 
1.0%
4 1
 
0.5%
e 1
 
0.5%
Hangul
ValueCountFrequency (%)
구 28
 
3.7%
소 28
 
3.7%
사 26
 
3.4%
입 26
 
3.4%
주 25
 
3.3%
앞 21
 
2.8%
아 21
 
2.8%
리 20
 
2.6%
변 20
 
2.6%
동 19
 
2.5%
Other values (144) 522
69.0%

열
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size980.0 B
1
85 
2
14 
3
 
6
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 85
80.2%
2 14
 
13.2%
3 6
 
5.7%
6 1
 
0.9%

Length

2023-12-11T08:27:05.240752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:27:05.315117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 85
80.2%
2 14
 
13.2%
3 6
 
5.7%
6 1
 
0.9%

단
Categorical

Distinct5
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size980.0 B
5
53 
4
20 
6
13 
2
11 
3
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row5
4th row5
5th row2

Common Values

ValueCountFrequency (%)
5 53
50.0%
4 20
 
18.9%
6 13
 
12.3%
2 11
 
10.4%
3 9
 
8.5%

Length

2023-12-11T08:27:05.394182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:27:05.471616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 53
50.0%
4 20
 
18.9%
6 13
 
12.3%
2 11
 
10.4%
3 9
 
8.5%

면
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7830189
Minimum2
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T08:27:05.551980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median5
Q36
95-th percentile12
Maximum24
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.2921399
Coefficient of variation (CV)0.56927705
Kurtosis8.6474885
Mean5.7830189
Median Absolute Deviation (MAD)1
Skewness2.3257162
Sum613
Variance10.838185
MonotonicityNot monotonic
2023-12-11T08:27:05.636161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 41
38.7%
4 13
 
12.3%
6 13
 
12.3%
2 11
 
10.4%
10 10
 
9.4%
3 7
 
6.6%
12 4
 
3.8%
8 3
 
2.8%
15 2
 
1.9%
9 1
 
0.9%
ValueCountFrequency (%)
2 11
 
10.4%
3 7
 
6.6%
4 13
 
12.3%
5 41
38.7%
6 13
 
12.3%
8 3
 
2.8%
9 1
 
0.9%
10 10
 
9.4%
12 4
 
3.8%
15 2
 
1.9%
ValueCountFrequency (%)
24 1
 
0.9%
15 2
 
1.9%
12 4
 
3.8%
10 10
 
9.4%
9 1
 
0.9%
8 3
 
2.8%
6 13
 
12.3%
5 41
38.7%
4 13
 
12.3%
3 7
 
6.6%

규격(가로x세로)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
5.2x0.7m
106 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.2x0.7m
2nd row5.2x0.7m
3rd row5.2x0.7m
4th row5.2x0.7m
5th row5.2x0.7m

Common Values

ValueCountFrequency (%)
5.2x0.7m 106
100.0%

Length

2023-12-11T08:27:05.727214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:27:05.798461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.2x0.7m 106
100.0%

지번주소
Text

Distinct97
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-11T08:27:06.082846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length20.122642
Min length15

Characters and Unicode

Total characters2133
Distinct characters82
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

Unique88 ?
Unique (%)83.0%

Sample

1st row경상남도 거제시 일운면 지세포리 758
2nd row경상남도 거제시 일운면 지세포리 808-4
3rd row경상남도 거제시 일운면 구조라리 28-1
4th row경상남도 거제시 일운면 소동리 산 66-2
5th row경상남도 거제시 일운면 구조라리 97-11
ValueCountFrequency (%)
경상남도 106
22.1%
거제시 106
22.1%
고현동 14
 
2.9%
산 12
 
2.5%
옥포동 12
 
2.5%
장승포동 9
 
1.9%
일운면 8
 
1.7%
사등면 8
 
1.7%
아주동 7
 
1.5%
장목면 7
 
1.5%
Other values (135) 191
39.8%
2023-12-11T08:27:06.726029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
374
17.5%
도 121
 
5.7%
상 114
 
5.3%
거 111
 
5.2%
제 111
 
5.2%
남 110
 
5.2%
경 106
 
5.0%
시 106
 
5.0%
- 80
 
3.8%
1 76
 
3.6%
Other values (72) 824
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1240
58.1%
Decimal Number 403
 
18.9%
Space Separator 374
 
17.5%
Dash Punctuation 80
 
3.8%
Open Punctuation 18
 
0.8%
Close Punctuation 18
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 121
9.8%
상 114
 
9.2%
거 111
 
9.0%
제 111
 
9.0%
남 110
 
8.9%
경 106
 
8.5%
시 106
 
8.5%
동 76
 
6.1%
면 44
 
3.5%
리 43
 
3.5%
Other values (58) 298
24.0%
Decimal Number
ValueCountFrequency (%)
1 76
18.9%
4 51
12.7%
2 47
11.7%
3 46
11.4%
8 45
11.2%
9 34
8.4%
0 30
 
7.4%
5 26
 
6.5%
6 25
 
6.2%
7 23
 
5.7%
Space Separator
ValueCountFrequency (%)
374
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1240
58.1%
Common 893
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 121
9.8%
상 114
 
9.2%
거 111
 
9.0%
제 111
 
9.0%
남 110
 
8.9%
경 106
 
8.5%
시 106
 
8.5%
동 76
 
6.1%
면 44
 
3.5%
리 43
 
3.5%
Other values (58) 298
24.0%
Common
ValueCountFrequency (%)
374
41.9%
- 80
 
9.0%
1 76
 
8.5%
4 51
 
5.7%
2 47
 
5.3%
3 46
 
5.2%
8 45
 
5.0%
9 34
 
3.8%
0 30
 
3.4%
5 26
 
2.9%
Other values (4) 84
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1240
58.1%
ASCII 893
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
374
41.9%
- 80
 
9.0%
1 76
 
8.5%
4 51
 
5.7%
2 47
 
5.3%
3 46
 
5.2%
8 45
 
5.0%
9 34
 
3.8%
0 30
 
3.4%
5 26
 
2.9%
Other values (4) 84
 
9.4%
Hangul
ValueCountFrequency (%)
도 121
9.8%
상 114
 
9.2%
거 111
 
9.0%
제 111
 
9.0%
남 110
 
8.9%
경 106
 
8.5%
시 106
 
8.5%
동 76
 
6.1%
면 44
 
3.5%
리 43
 
3.5%
Other values (58) 298
24.0%

비고
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
상업용
68 
행정용
38 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상업용 68
64.2%
행정용 38
35.8%

Length

2023-12-11T08:27:06.860270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:27:06.947750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상업용 68
64.2%
행정용 38
35.8%

기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum2022-07-26 00:00:00
Maximum2022-07-26 00:00:00
2023-12-11T08:27:07.033815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:07.122313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:27:03.088185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:27:07.213848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면동설치장소열단면지번주소비고
면동1.0000.0000.0000.4620.0000.9970.000
설치장소0.0001.0000.9160.5390.0000.9930.953
열0.0000.9161.0000.0800.9240.0000.418
단0.4620.5390.0801.0000.6520.8360.259
면0.0000.0000.9240.6521.0000.0000.369
지번주소0.9970.9930.0000.8360.0001.0000.442
비고0.0000.9530.4180.2590.3690.4421.000
2023-12-11T08:27:07.332641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단열면동비고
단1.0000.0620.2200.312
열0.0621.0000.0000.277
면동0.2200.0001.0000.000
비고0.3120.2770.0001.000
2023-12-11T08:27:07.443350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면면동열단비고
면1.0000.0000.8860.4890.385
면동0.0001.0000.0000.2200.000
열0.8860.0001.0000.0620.277
단0.4890.2200.0621.0000.312
비고0.3850.0000.2770.3121.000

Missing values

2023-12-11T08:27:03.197549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:27:03.340421image/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

고유번호시군구면동설치장소열단면규격(가로x세로)지번주소비고기준일
0상1-1경상남도 거제시일운면거원아파트 앞 국도변1445.2x0.7m경상남도 거제시 일운면 지세포리 758상업용2022-07-26
1상1-2경상남도 거제시일운면일운주요소 앞 국도변1445.2x0.7m경상남도 거제시 일운면 지세포리 808-4상업용2022-07-26
2상1-3경상남도 거제시일운면구조라 입구 국도변1555.2x0.7m경상남도 거제시 일운면 구조라리 28-1상업용2022-07-26
3상1-4경상남도 거제시일운면소동리 동성(아) 입구1555.2x0.7m경상남도 거제시 일운면 소동리 산 66-2상업용2022-07-26
4상1-5경상남도 거제시일운면구조라 수정마을1225.2x0.7m경상남도 거제시 일운면 구조라리 97-11상업용2022-07-26
5상1-6경상남도 거제시일운면대명리조트 뒷편1665.2x0.7m경상남도 거제시 일운면 소동리 산 14-14상업용2022-07-26
6상2-1경상남도 거제시동부면오망천 주변1555.2x0.7m경상남도 거제시 동부면 산양리 945-8상업용2022-07-26
7상3-1경상남도 거제시남부면저구 주요소 주변1555.2x0.7m경상남도 거제시 남부면 저구리 2-5상업용2022-07-26
8상3-2경상남도 거제시남부면신선대 입구1665.2x0.7m경상남도 거제시 남부면 갈곶리 338-2상업용2022-07-26
9상4-2경상남도 거제시거제면죽림마을 삼거리1445.2x0.7m경상남도 거제시 거제면 동상리 107(구)상업용2022-07-26
고유번호시군구면동설치장소열단면규격(가로x세로)지번주소비고기준일
96행 17-3경상남도 거제시고현동중곡초 교차로(덕산1차상가)1225.2x0.7m경상남도 거제시 고현동 1047(도)행정용2022-07-26
97행 17-4경상남도 거제시고현동금곡교 입구1225.2x0.7m경상남도 거제시 고현동 71-3(도)행정용2022-07-26
98행 17-5경상남도 거제시고현동중곡육교 주변1445.2x0.7m경상남도 거제시 고현동 2-2행정용2022-07-26
99행 17-7경상남도 거제시고현동보조운동장 앞1225.2x0.7m경상남도 거제시 고현동 906행정용2022-07-26
100행 17-8경상남도 거제시고현동고현시외버스터미널 앞1555.2x0.7m경상남도 거제시 고현동 983(도)행정용2022-07-26
101행 18-1경상남도 거제시상문동동사무소 앞1555.2x0.7m경상남도 거제시 상동동 167-2(도)행정용2022-07-26
102행 18-2경상남도 거제시상문동독봉산 웰빙공원 입구1555.2x0.7m경상남도 거제시 상동동 385-5(도)행정용2022-07-26
103행 18-3경상남도 거제시상문동포스코 아파트 앞1555.2x0.7m경상남도 거제시 상동동 912-5(도)행정용2022-07-26
104행 18-4경상남도 거제시상문동상문동 공용주차장1665.2x0.7m경상남도 거제시 상동동 169-8행정용2022-07-26
105행 19-1경상남도 거제시수양동동사무소 앞1445.2x0.7m경상남도 거제시 양정동 859-1행정용2022-07-26