Overview

Dataset statistics

Number of variables8
Number of observations138
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.2 KiB
Average record size in memory68.0 B

Variable types

Numeric2
Text3
Categorical3

Dataset

Description제주특별자치도 제주시 관리 대상 시민게시판 (홍보용) 현황 데이터입니다.항목: 연번, 일련번호, 유형, 주소, 위치, 전단함개수, 수거함개수, 데이터기준일
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15017604/fileData.do

Alerts

데이터기준일 has constant value ""Constant
수거함 개수 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
유형 is highly overall correlated with 전단함 개수 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 수거함 개수High correlation
전단함 개수 is highly overall correlated with 유형 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
일련번호 has unique valuesUnique
위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:47:05.554531
Analysis finished2023-12-12 16:47:06.606004
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.5
Minimum1
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T01:47:06.699809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.85
Q135.25
median69.5
Q3103.75
95-th percentile131.15
Maximum138
Range137
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation39.981246
Coefficient of variation (CV)0.57526972
Kurtosis-1.2
Mean69.5
Median Absolute Deviation (MAD)34.5
Skewness0
Sum9591
Variance1598.5
MonotonicityStrictly increasing
2023-12-13T01:47:06.893518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
96 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
105 1
 
0.7%
Other values (128) 128
92.8%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%

일련번호
Text

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T01:47:07.255939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.3623188
Min length4

Characters and Unicode

Total characters602
Distinct characters43
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)100.0%

Sample

1st row한림-1
2nd row한림-2
3rd row한림-3
4th row한림-4
5th row한림-5
ValueCountFrequency (%)
한림-1 1
 
0.7%
연동-3 1
 
0.7%
아라-8 1
 
0.7%
연동-8 1
 
0.7%
연동-7 1
 
0.7%
연동-6 1
 
0.7%
연동-5 1
 
0.7%
연동-4 1
 
0.7%
연동-10 1
 
0.7%
연동-9 1
 
0.7%
Other values (128) 128
92.8%
2023-12-13T01:47:07.834146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 138
22.9%
1 56
 
9.3%
2 42
 
7.0%
도 24
 
4.0%
한 23
 
3.8%
형 20
 
3.3%
노 20
 
3.3%
연 17
 
2.8%
동 17
 
2.8%
3 17
 
2.8%
Other values (33) 228
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
45.8%
Decimal Number 188
31.2%
Dash Punctuation 138
22.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 24
 
8.7%
한 23
 
8.3%
형 20
 
7.2%
노 20
 
7.2%
연 17
 
6.2%
동 17
 
6.2%
라 14
 
5.1%
경 12
 
4.3%
림 11
 
4.0%
이 11
 
4.0%
Other values (22) 107
38.8%
Decimal Number
ValueCountFrequency (%)
1 56
29.8%
2 42
22.3%
3 17
 
9.0%
4 15
 
8.0%
5 13
 
6.9%
6 11
 
5.9%
8 9
 
4.8%
7 9
 
4.8%
9 9
 
4.8%
0 7
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 326
54.2%
Hangul 276
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 24
 
8.7%
한 23
 
8.3%
형 20
 
7.2%
노 20
 
7.2%
연 17
 
6.2%
동 17
 
6.2%
라 14
 
5.1%
경 12
 
4.3%
림 11
 
4.0%
이 11
 
4.0%
Other values (22) 107
38.8%
Common
ValueCountFrequency (%)
- 138
42.3%
1 56
17.2%
2 42
 
12.9%
3 17
 
5.2%
4 15
 
4.6%
5 13
 
4.0%
6 11
 
3.4%
8 9
 
2.8%
7 9
 
2.8%
9 9
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 326
54.2%
Hangul 276
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 138
42.3%
1 56
17.2%
2 42
 
12.9%
3 17
 
5.2%
4 15
 
4.6%
5 13
 
4.0%
6 11
 
3.4%
8 9
 
2.8%
7 9
 
2.8%
9 9
 
2.8%
Hangul
ValueCountFrequency (%)
도 24
 
8.7%
한 23
 
8.3%
형 20
 
7.2%
노 20
 
7.2%
연 17
 
6.2%
동 17
 
6.2%
라 14
 
5.1%
경 12
 
4.3%
림 11
 
4.0%
이 11
 
4.0%
Other values (22) 107
38.8%

유형
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
사각형
56 
타원형
42 
돌하르방형
12 
표준디자인
10 
정낭형
9 
Other values (3)
9 

Length

Max length8
Median length3
Mean length3.6014493
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
사각형 56
40.6%
타원형 42
30.4%
돌하르방형 12
 
8.7%
표준디자인 10
 
7.2%
정낭형 9
 
6.5%
정낭형(양면) 6
 
4.3%
사각형(통합형) 2
 
1.4%
표준디자인회전형 1
 
0.7%

Length

2023-12-13T01:47:08.050048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:47:08.180628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사각형 56
40.6%
타원형 42
30.4%
돌하르방형 12
 
8.7%
표준디자인 10
 
7.2%
정낭형 9
 
6.5%
정낭형(양면 6
 
4.3%
사각형(통합형 2
 
1.4%
표준디자인회전형 1
 
0.7%

주소
Text

Distinct136
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T01:47:08.656845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length21.253623
Min length17

Characters and Unicode

Total characters2933
Distinct characters133
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

Unique134 ?
Unique (%)97.1%

Sample

1st row제주특별자치도 제주시 한림읍 명상로24 옆
2nd row제주특별자치도 제주시 한림읍 수원5길
3rd row제주특별자치도 제주시 한림읍 수원7길 32
4th row제주특별자치도 제주시 한림읍 월계로21
5th row제주특별자치도 제주시 한림읍 중산간서로4632
ValueCountFrequency (%)
제주특별자치도 138
22.9%
제주시 138
22.9%
한경면 12
 
2.0%
연동 11
 
1.8%
한림읍 11
 
1.8%
조천읍 11
 
1.8%
노형동 9
 
1.5%
앞 7
 
1.2%
애월읍 5
 
0.8%
화북일동 4
 
0.7%
Other values (219) 257
42.6%
2023-12-13T01:47:09.334060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
467
15.9%
주 280
 
9.5%
제 276
 
9.4%
도 148
 
5.0%
특 138
 
4.7%
별 138
 
4.7%
자 138
 
4.7%
치 138
 
4.7%
시 138
 
4.7%
1 100
 
3.4%
Other values (123) 972
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1997
68.1%
Space Separator 467
 
15.9%
Decimal Number 438
 
14.9%
Dash Punctuation 31
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 280
14.0%
제 276
13.8%
도 148
 
7.4%
특 138
 
6.9%
별 138
 
6.9%
자 138
 
6.9%
치 138
 
6.9%
시 138
 
6.9%
로 61
 
3.1%
동 57
 
2.9%
Other values (111) 485
24.3%
Decimal Number
ValueCountFrequency (%)
1 100
22.8%
2 57
13.0%
3 44
10.0%
4 44
10.0%
7 37
 
8.4%
0 37
 
8.4%
5 35
 
8.0%
6 34
 
7.8%
9 28
 
6.4%
8 22
 
5.0%
Space Separator
ValueCountFrequency (%)
467
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1997
68.1%
Common 936
31.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 280
14.0%
제 276
13.8%
도 148
 
7.4%
특 138
 
6.9%
별 138
 
6.9%
자 138
 
6.9%
치 138
 
6.9%
시 138
 
6.9%
로 61
 
3.1%
동 57
 
2.9%
Other values (111) 485
24.3%
Common
ValueCountFrequency (%)
467
49.9%
1 100
 
10.7%
2 57
 
6.1%
3 44
 
4.7%
4 44
 
4.7%
7 37
 
4.0%
0 37
 
4.0%
5 35
 
3.7%
6 34
 
3.6%
- 31
 
3.3%
Other values (2) 50
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1997
68.1%
ASCII 936
31.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
467
49.9%
1 100
 
10.7%
2 57
 
6.1%
3 44
 
4.7%
4 44
 
4.7%
7 37
 
4.0%
0 37
 
4.0%
5 35
 
3.7%
6 34
 
3.6%
- 31
 
3.3%
Other values (2) 50
 
5.3%
Hangul
ValueCountFrequency (%)
주 280
14.0%
제 276
13.8%
도 148
 
7.4%
특 138
 
6.9%
별 138
 
6.9%
자 138
 
6.9%
치 138
 
6.9%
시 138
 
6.9%
로 61
 
3.1%
동 57
 
2.9%
Other values (111) 485
24.3%

위치
Text

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T01:47:09.663612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length12.797101
Min length5

Characters and Unicode

Total characters1766
Distinct characters249
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

Unique138 ?
Unique (%)100.0%

Sample

1st row명월리 상동회관 앞
2nd row수원초교 횡단보도 앞
3rd row삼거리상점 앞
4th row옹포리사무소입구
5th row문수동회관 입구
ValueCountFrequency (%)
앞 39
 
9.7%
옆 33
 
8.2%
맞은편 13
 
3.2%
입구 11
 
2.7%
사거리 7
 
1.7%
북측 6
 
1.5%
서측 6
 
1.5%
정문 5
 
1.2%
승차대 5
 
1.2%
어린이공원 5
 
1.2%
Other values (231) 272
67.7%
2023-12-13T01:47:10.153936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
 
15.5%
리 59
 
3.3%
사 43
 
2.4%
앞 41
 
2.3%
옆 36
 
2.0%
동 36
 
2.0%
주 28
 
1.6%
제 27
 
1.5%
측 26
 
1.5%
소 26
 
1.5%
Other values (239) 1170
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1389
78.7%
Space Separator 274
 
15.5%
Decimal Number 42
 
2.4%
Uppercase Letter 22
 
1.2%
Close Punctuation 16
 
0.9%
Open Punctuation 16
 
0.9%
Other Punctuation 4
 
0.2%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 59
 
4.2%
사 43
 
3.1%
앞 41
 
3.0%
옆 36
 
2.6%
동 36
 
2.6%
주 28
 
2.0%
제 27
 
1.9%
측 26
 
1.9%
소 26
 
1.9%
대 25
 
1.8%
Other values (211) 1042
75.0%
Uppercase Letter
ValueCountFrequency (%)
C 4
18.2%
T 4
18.2%
V 3
13.6%
K 3
13.6%
A 2
9.1%
G 2
9.1%
Y 1
 
4.5%
S 1
 
4.5%
P 1
 
4.5%
W 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
2 12
28.6%
1 10
23.8%
0 5
11.9%
5 4
 
9.5%
6 4
 
9.5%
3 3
 
7.1%
9 2
 
4.8%
7 1
 
2.4%
4 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 1
25.0%
@ 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
274
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1389
78.7%
Common 353
 
20.0%
Latin 24
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 59
 
4.2%
사 43
 
3.1%
앞 41
 
3.0%
옆 36
 
2.6%
동 36
 
2.6%
주 28
 
2.0%
제 27
 
1.9%
측 26
 
1.9%
소 26
 
1.9%
대 25
 
1.8%
Other values (211) 1042
75.0%
Common
ValueCountFrequency (%)
274
77.6%
) 16
 
4.5%
( 16
 
4.5%
2 12
 
3.4%
1 10
 
2.8%
0 5
 
1.4%
5 4
 
1.1%
6 4
 
1.1%
3 3
 
0.8%
9 2
 
0.6%
Other values (6) 7
 
2.0%
Latin
ValueCountFrequency (%)
C 4
16.7%
T 4
16.7%
V 3
12.5%
K 3
12.5%
A 2
8.3%
G 2
8.3%
Y 1
 
4.2%
S 1
 
4.2%
P 1
 
4.2%
W 1
 
4.2%
Other values (2) 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1389
78.7%
ASCII 377
 
21.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
72.7%
) 16
 
4.2%
( 16
 
4.2%
2 12
 
3.2%
1 10
 
2.7%
0 5
 
1.3%
5 4
 
1.1%
6 4
 
1.1%
C 4
 
1.1%
T 4
 
1.1%
Other values (18) 28
 
7.4%
Hangul
ValueCountFrequency (%)
리 59
 
4.2%
사 43
 
3.1%
앞 41
 
3.0%
옆 36
 
2.6%
동 36
 
2.6%
주 28
 
2.0%
제 27
 
1.9%
측 26
 
1.9%
소 26
 
1.9%
대 25
 
1.8%
Other values (211) 1042
75.0%

전단함 개수
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3333333
Minimum0
Maximum15
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T01:47:10.276245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q15
median7
Q38
95-th percentile8
Maximum15
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8535164
Coefficient of variation (CV)0.29266049
Kurtosis3.2467922
Mean6.3333333
Median Absolute Deviation (MAD)1
Skewness0.59578383
Sum874
Variance3.4355231
MonotonicityNot monotonic
2023-12-13T01:47:10.393278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 44
31.9%
8 35
25.4%
7 34
24.6%
4 14
 
10.1%
6 3
 
2.2%
3 2
 
1.4%
10 2
 
1.4%
0 1
 
0.7%
15 1
 
0.7%
9 1
 
0.7%
ValueCountFrequency (%)
0 1
 
0.7%
3 2
 
1.4%
4 14
 
10.1%
5 44
31.9%
6 3
 
2.2%
7 34
24.6%
8 35
25.4%
9 1
 
0.7%
10 2
 
1.4%
12 1
 
0.7%
ValueCountFrequency (%)
15 1
 
0.7%
12 1
 
0.7%
10 2
 
1.4%
9 1
 
0.7%
8 35
25.4%
7 34
24.6%
6 3
 
2.2%
5 44
31.9%
4 14
 
10.1%
3 2
 
1.4%

수거함 개수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
80 
0
58 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1 80
58.0%
0 58
42.0%

Length

2023-12-13T01:47:10.559350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:47:10.666560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 80
58.0%
0 58
42.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-06-01
138 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-01
2nd row2023-06-01
3rd row2023-06-01
4th row2023-06-01
5th row2023-06-01

Common Values

ValueCountFrequency (%)
2023-06-01 138
100.0%

Length

2023-12-13T01:47:10.795708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:47:10.910073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-01 138
100.0%

Interactions

2023-12-13T01:47:06.114531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:47:05.901272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:47:06.246953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:47:05.998983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:47:10.977852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형전단함 개수수거함 개수
연번1.0000.5910.5880.945
유형0.5911.0000.9350.995
전단함 개수0.5880.9351.0000.982
수거함 개수0.9450.9950.9821.000
2023-12-13T01:47:11.078268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수거함 개수유형
수거함 개수1.0000.919
유형0.9191.000
2023-12-13T01:47:11.171072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전단함 개수유형수거함 개수
연번1.000-0.0670.3290.777
전단함 개수-0.0671.0000.5910.825
유형0.3290.5911.0000.919
수거함 개수0.7770.8250.9191.000

Missing values

2023-12-13T01:47:06.391267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:47:06.544737image/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

연번일련번호유형주소위치전단함 개수수거함 개수데이터기준일
01한림-1사각형제주특별자치도 제주시 한림읍 명상로24 옆명월리 상동회관 앞702023-06-01
12한림-2사각형제주특별자치도 제주시 한림읍 수원5길수원초교 횡단보도 앞702023-06-01
23한림-3사각형제주특별자치도 제주시 한림읍 수원7길 32삼거리상점 앞702023-06-01
34한림-4사각형제주특별자치도 제주시 한림읍 월계로21옹포리사무소입구702023-06-01
45한림-5사각형제주특별자치도 제주시 한림읍 중산간서로4632문수동회관 입구702023-06-01
56한림-6사각형제주특별자치도 제주시 한림읍 한성길20한성동 정자 입구702023-06-01
67한림-7사각형제주특별자치도 제주시 한림읍 금능2길1금능교회 옆702023-06-01
78한림-8사각형제주특별자치도 제주시 한림읍 귀덕리 2074-2귀덕3리 사무소 버스정류장 옆702023-06-01
89한림-9사각형제주특별자치도 제주시 한림읍 금능리 1279-1금능리 사무소 앞702023-06-01
910한림-10사각형제주특별자치도 제주시 한림읍 한림로 228 맞은편금능자갈 식당 맞은편702023-06-01
연번일련번호유형주소위치전단함 개수수거함 개수데이터기준일
128129노형-19타원형제주특별자치도 제주시 노형동 765제주 우편집중국(노형) 현수막 지정게시대 옆812023-06-01
129130노형-20돌하르방형제주특별자치도 제주시 수덕5길 2노형우체국 맞은편512023-06-01
130131노형-21타원형제주특별자치도 제주시 노형동 2583-5노형뜨란채 아파트 209동 북측812023-06-01
131132외도-1타원형제주특별자치도 제주시 일주서로 7368 앞외도초등학교 앞712023-06-01
132133외도-2사각형제주특별자치도 제주시 외도1동 560-3 공원 앞외도부영2차APT 어린이놀이터402023-06-01
133134외도-3사각형제주특별자치도 제주시 내도동 608-3내도마을회관 앞602023-06-01
134135이호-1사각형제주특별자치도 제주시 태우해안로 143현사포구 화장실 앞402023-06-01
135136이호-2사각형제주특별자치도 제주시 현사길 17현사마을회관 사거리402023-06-01
136137도두-1정낭형(양면)제주특별자치도 제주시 서해안로 161365약국 사거리1202023-06-01
137138도두-4표준디자인제주특별자치도 제주시 도공로 48마트클럽 남측512023-06-01