Overview

Dataset statistics

Number of variables8
Number of observations66
Missing cells39
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory67.0 B

Variable types

Numeric1
Categorical3
Text4

Dataset

Description경상남도 의령군의 재활용품 분리수거장 현황 정보 입니다. 재활용품 분리수거장이 설치된 읍면과 마을명칭, 설치장소의 도로명주소와 지번주소 및 세부위치명을 제공하는 데이터 입니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15113790

Alerts

시군구 has constant value ""Constant
데이터기준일 has constant value ""Constant
구분 is highly overall correlated with 읍면High correlation
읍면 is highly overall correlated with 구분High correlation
설치장소 도로명주소 has 39 (59.1%) missing valuesMissing
구분 has unique valuesUnique
설치장소 지번주소 has unique valuesUnique
세부위치 has unique valuesUnique

Reproduction

Analysis started2023-12-11 01:03:29.882605
Analysis finished2023-12-11 01:03:30.685935
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.5
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-11T10:03:30.766353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median33.5
Q349.75
95-th percentile62.75
Maximum66
Range65
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation19.196354
Coefficient of variation (CV)0.57302549
Kurtosis-1.2
Mean33.5
Median Absolute Deviation (MAD)16.5
Skewness0
Sum2211
Variance368.5
MonotonicityStrictly increasing
2023-12-11T10:03:30.940086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
51 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
44 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
의령군
66 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의령군 66
100.0%

Length

2023-12-11T10:03:31.099449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:03:31.214330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의령군 66
100.0%

읍면
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size660.0 B
의령읍
15 
지정면
8 
대의면
6 
궁류면
5 
부림면
5 
Other values (8)
27 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row가례면
2nd row가례면
3rd row가례면
4th row가례면
5th row궁류면

Common Values

ValueCountFrequency (%)
의령읍 15
22.7%
지정면 8
12.1%
대의면 6
 
9.1%
궁류면 5
 
7.6%
부림면 5
 
7.6%
용덕면 5
 
7.6%
가례면 4
 
6.1%
봉수면 4
 
6.1%
정곡면 4
 
6.1%
칠곡면 4
 
6.1%
Other values (3) 6
 
9.1%

Length

2023-12-11T10:03:31.344120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의령읍 15
22.7%
지정면 8
12.1%
대의면 6
 
9.1%
궁류면 5
 
7.6%
부림면 5
 
7.6%
용덕면 5
 
7.6%
가례면 4
 
6.1%
봉수면 4
 
6.1%
정곡면 4
 
6.1%
칠곡면 4
 
6.1%
Other values (3) 6
 
9.1%

마을명
Text

Distinct58
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-11T10:03:31.592347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.0757576
Min length2

Characters and Unicode

Total characters137
Distinct characters67
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)77.3%

Sample

1st row갑을
2nd row가례
3rd row양성
4th row평촌
5th row토곡
ValueCountFrequency (%)
평촌 3
 
4.5%
행복 2
 
3.0%
계현1구 2
 
3.0%
신기 2
 
3.0%
중촌 2
 
3.0%
서본 2
 
3.0%
서신 2
 
3.0%
무상 1
 
1.5%
가현 1
 
1.5%
구룡 1
 
1.5%
Other values (48) 48
72.7%
2023-12-11T10:03:31.984931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
신 10
 
7.3%
촌 7
 
5.1%
서 6
 
4.4%
구 5
 
3.6%
산 5
 
3.6%
남 4
 
2.9%
곡 4
 
2.9%
무 4
 
2.9%
현 4
 
2.9%
중 4
 
2.9%
Other values (57) 84
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135
98.5%
Decimal Number 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 10
 
7.4%
촌 7
 
5.2%
서 6
 
4.4%
구 5
 
3.7%
산 5
 
3.7%
남 4
 
3.0%
곡 4
 
3.0%
무 4
 
3.0%
현 4
 
3.0%
중 4
 
3.0%
Other values (56) 82
60.7%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135
98.5%
Common 2
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 10
 
7.4%
촌 7
 
5.2%
서 6
 
4.4%
구 5
 
3.7%
산 5
 
3.7%
남 4
 
3.0%
곡 4
 
3.0%
무 4
 
3.0%
현 4
 
3.0%
중 4
 
3.0%
Other values (56) 82
60.7%
Common
ValueCountFrequency (%)
1 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135
98.5%
ASCII 2
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
신 10
 
7.4%
촌 7
 
5.2%
서 6
 
4.4%
구 5
 
3.7%
산 5
 
3.7%
남 4
 
3.0%
곡 4
 
3.0%
무 4
 
3.0%
현 4
 
3.0%
중 4
 
3.0%
Other values (56) 82
60.7%
ASCII
ValueCountFrequency (%)
1 2
100.0%

설치장소 지번주소
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-11T10:03:32.267643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length34
Mean length22.651515
Min length12

Characters and Unicode

Total characters1495
Distinct characters110
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

Unique66 ?
Unique (%)100.0%

Sample

1st row경상남도 의령군 가례면 갑을리 243-2
2nd row경상남도 의령군 가례면 가례리 443
3rd row경상남도 의령군 가례면 양성리 619-8
4th row경상남도 의령군 가례면 운암리 200-27
5th row경상남도 의령군 궁류면 토곡리 823
ValueCountFrequency (%)
경상남도 64
19.2%
의령군 64
19.2%
의령읍 15
 
4.5%
지정면 8
 
2.4%
대의면 6
 
1.8%
궁류면 5
 
1.5%
용덕면 5
 
1.5%
부림면 5
 
1.5%
칠곡면 4
 
1.2%
서동리 4
 
1.2%
Other values (126) 154
46.1%
2023-12-11T10:03:32.630933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
18.7%
의 87
 
5.8%
령 81
 
5.4%
리 67
 
4.5%
상 66
 
4.4%
경 65
 
4.3%
남 64
 
4.3%
도 64
 
4.3%
군 64
 
4.3%
1 52
 
3.5%
Other values (100) 606
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 908
60.7%
Space Separator 279
 
18.7%
Decimal Number 257
 
17.2%
Dash Punctuation 51
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 87
 
9.6%
령 81
 
8.9%
리 67
 
7.4%
상 66
 
7.3%
경 65
 
7.2%
남 64
 
7.0%
도 64
 
7.0%
군 64
 
7.0%
면 51
 
5.6%
곡 17
 
1.9%
Other values (88) 282
31.1%
Decimal Number
ValueCountFrequency (%)
1 52
20.2%
4 29
11.3%
5 28
10.9%
2 27
10.5%
3 23
8.9%
6 21
8.2%
7 21
8.2%
8 21
8.2%
9 20
 
7.8%
0 15
 
5.8%
Space Separator
ValueCountFrequency (%)
279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 908
60.7%
Common 587
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 87
 
9.6%
령 81
 
8.9%
리 67
 
7.4%
상 66
 
7.3%
경 65
 
7.2%
남 64
 
7.0%
도 64
 
7.0%
군 64
 
7.0%
면 51
 
5.6%
곡 17
 
1.9%
Other values (88) 282
31.1%
Common
ValueCountFrequency (%)
279
47.5%
1 52
 
8.9%
- 51
 
8.7%
4 29
 
4.9%
5 28
 
4.8%
2 27
 
4.6%
3 23
 
3.9%
6 21
 
3.6%
7 21
 
3.6%
8 21
 
3.6%
Other values (2) 35
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 908
60.7%
ASCII 587
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
47.5%
1 52
 
8.9%
- 51
 
8.7%
4 29
 
4.9%
5 28
 
4.8%
2 27
 
4.6%
3 23
 
3.9%
6 21
 
3.6%
7 21
 
3.6%
8 21
 
3.6%
Other values (2) 35
 
6.0%
Hangul
ValueCountFrequency (%)
의 87
 
9.6%
령 81
 
8.9%
리 67
 
7.4%
상 66
 
7.3%
경 65
 
7.2%
남 64
 
7.0%
도 64
 
7.0%
군 64
 
7.0%
면 51
 
5.6%
곡 17
 
1.9%
Other values (88) 282
31.1%

설치장소 도로명주소
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing39
Missing (%)59.1%
Memory size660.0 B
2023-12-11T10:03:32.823427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length23.592593
Min length13

Characters and Unicode

Total characters637
Distinct characters88
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

Unique27 ?
Unique (%)100.0%

Sample

1st row경상남도 의령군 가례면 가례로9길 6
2nd row경상남도 의령군 궁류면 궁류로 143-4
3rd row경상남도 의령군 궁류면 청정로3길 32
4th row경상남도 의령군 낙서면 낙동강로2길 113
5th row경상남도 의령군 대의면 망용로4길 9
ValueCountFrequency (%)
경상남도 26
19.4%
의령군 26
19.4%
의령읍 8
 
6.0%
지정면 5
 
3.7%
의병로9길 2
 
1.5%
궁류면 2
 
1.5%
부림면 2
 
1.5%
행복로 2
 
1.5%
정곡면 2
 
1.5%
23 2
 
1.5%
Other values (57) 57
42.5%
2023-12-11T10:03:33.102396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
19.9%
의 43
 
6.8%
령 35
 
5.5%
로 28
 
4.4%
남 27
 
4.2%
경 26
 
4.1%
도 26
 
4.1%
군 26
 
4.1%
상 26
 
4.1%
1 20
 
3.1%
Other values (78) 253
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
63.4%
Space Separator 127
 
19.9%
Decimal Number 88
 
13.8%
Dash Punctuation 8
 
1.3%
Open Punctuation 5
 
0.8%
Close Punctuation 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 43
 
10.6%
령 35
 
8.7%
로 28
 
6.9%
남 27
 
6.7%
경 26
 
6.4%
도 26
 
6.4%
군 26
 
6.4%
상 26
 
6.4%
길 19
 
4.7%
면 19
 
4.7%
Other values (64) 129
31.9%
Decimal Number
ValueCountFrequency (%)
1 20
22.7%
2 12
13.6%
3 10
11.4%
9 9
10.2%
4 9
10.2%
6 8
 
9.1%
7 7
 
8.0%
5 6
 
6.8%
0 4
 
4.5%
8 3
 
3.4%
Space Separator
ValueCountFrequency (%)
127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
63.4%
Common 233
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 43
 
10.6%
령 35
 
8.7%
로 28
 
6.9%
남 27
 
6.7%
경 26
 
6.4%
도 26
 
6.4%
군 26
 
6.4%
상 26
 
6.4%
길 19
 
4.7%
면 19
 
4.7%
Other values (64) 129
31.9%
Common
ValueCountFrequency (%)
127
54.5%
1 20
 
8.6%
2 12
 
5.2%
3 10
 
4.3%
9 9
 
3.9%
4 9
 
3.9%
- 8
 
3.4%
6 8
 
3.4%
7 7
 
3.0%
5 6
 
2.6%
Other values (4) 17
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
63.4%
ASCII 233
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
54.5%
1 20
 
8.6%
2 12
 
5.2%
3 10
 
4.3%
9 9
 
3.9%
4 9
 
3.9%
- 8
 
3.4%
6 8
 
3.4%
7 7
 
3.0%
5 6
 
2.6%
Other values (4) 17
 
7.3%
Hangul
ValueCountFrequency (%)
의 43
 
10.6%
령 35
 
8.7%
로 28
 
6.9%
남 27
 
6.7%
경 26
 
6.4%
도 26
 
6.4%
군 26
 
6.4%
상 26
 
6.4%
길 19
 
4.7%
면 19
 
4.7%
Other values (64) 129
31.9%

세부위치
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-11T10:03:33.326771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.1515152
Min length4

Characters and Unicode

Total characters538
Distinct characters118
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

Unique66 ?
Unique (%)100.0%

Sample

1st row갑을마을 주차장
2nd row가례마을 공터
3rd row양성마을 버스승강장 근처
4th row평촌마을 주차장
5th row토곡마을회관
ValueCountFrequency (%)
근처 13
 
11.3%
도로변 9
 
7.8%
주차장 9
 
7.8%
버스승강장 3
 
2.6%
입구 3
 
2.6%
공터 3
 
2.6%
맞은편 2
 
1.7%
옆 2
 
1.7%
갑을마을 1
 
0.9%
신우희가로 1
 
0.9%
Other values (69) 69
60.0%
2023-12-11T10:03:33.681677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 49
 
9.1%
49
 
9.1%
을 49
 
9.1%
관 27
 
5.0%
회 27
 
5.0%
장 13
 
2.4%
처 13
 
2.4%
근 13
 
2.4%
로 13
 
2.4%
주 11
 
2.0%
Other values (108) 274
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 486
90.3%
Space Separator 49
 
9.1%
Decimal Number 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 49
 
10.1%
을 49
 
10.1%
관 27
 
5.6%
회 27
 
5.6%
장 13
 
2.7%
처 13
 
2.7%
근 13
 
2.7%
로 13
 
2.7%
주 11
 
2.3%
차 10
 
2.1%
Other values (105) 261
53.7%
Space Separator
ValueCountFrequency (%)
49
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 486
90.3%
Common 52
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 49
 
10.1%
을 49
 
10.1%
관 27
 
5.6%
회 27
 
5.6%
장 13
 
2.7%
처 13
 
2.7%
근 13
 
2.7%
로 13
 
2.7%
주 11
 
2.3%
차 10
 
2.1%
Other values (105) 261
53.7%
Common
ValueCountFrequency (%)
49
94.2%
1 2
 
3.8%
- 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 486
90.3%
ASCII 52
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 49
 
10.1%
을 49
 
10.1%
관 27
 
5.6%
회 27
 
5.6%
장 13
 
2.7%
처 13
 
2.7%
근 13
 
2.7%
로 13
 
2.7%
주 11
 
2.3%
차 10
 
2.1%
Other values (105) 261
53.7%
ASCII
ValueCountFrequency (%)
49
94.2%
1 2
 
3.8%
- 1
 
1.9%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-05-17
66 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-17
2nd row2023-05-17
3rd row2023-05-17
4th row2023-05-17
5th row2023-05-17

Common Values

ValueCountFrequency (%)
2023-05-17 66
100.0%

Length

2023-12-11T10:03:33.786597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:03:33.887372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-17 66
100.0%

Interactions

2023-12-11T10:03:30.306189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T10:03:33.935784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분읍면마을명설치장소 지번주소설치장소 도로명주소세부위치
구분1.0000.9340.9511.0001.0001.000
읍면0.9341.0000.9431.0001.0001.000
마을명0.9510.9431.0001.0001.0001.000
설치장소 지번주소1.0001.0001.0001.0001.0001.000
설치장소 도로명주소1.0001.0001.0001.0001.0001.000
세부위치1.0001.0001.0001.0001.0001.000
2023-12-11T10:03:34.021038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분읍면
구분1.0000.711
읍면0.7111.000

Missing values

2023-12-11T10:03:30.482537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:03:30.627084image/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

구분시군구읍면마을명설치장소 지번주소설치장소 도로명주소세부위치데이터기준일
01의령군가례면갑을경상남도 의령군 가례면 갑을리 243-2<NA>갑을마을 주차장2023-05-17
12의령군가례면가례경상남도 의령군 가례면 가례리 443<NA>가례마을 공터2023-05-17
23의령군가례면양성경상남도 의령군 가례면 양성리 619-8경상남도 의령군 가례면 가례로9길 6양성마을 버스승강장 근처2023-05-17
34의령군가례면평촌경상남도 의령군 가례면 운암리 200-27<NA>평촌마을 주차장2023-05-17
45의령군궁류면토곡경상남도 의령군 궁류면 토곡리 823<NA>토곡마을회관2023-05-17
56의령군궁류면계현1구경상남도 의령군 궁류면 계현리 274-9<NA>계현1리마을회관2023-05-17
67의령군궁류면석정경상남도 의령군 궁류면 토곡리 591-27경상남도 의령군 궁류면 궁류로 143-4석정마을회관2023-05-17
78의령군궁류면평촌경상남도 의령군 궁류면 평촌리 491경상남도 의령군 궁류면 청정로3길 32평촌경로당2023-05-17
89의령군궁류면계현1구경상남도 의령군 궁류면 계현리 313<NA>계현1구마을입구 공터2023-05-17
910의령군낙서면신기경상남도 의령군 낙서면 정곡리 141-1<NA>신기마을 주차장2023-05-17
구분시군구읍면마을명설치장소 지번주소설치장소 도로명주소세부위치데이터기준일
5657의령군지정면성당경상남도 의령군 지정면 성당리 586-2경상남도 의령군 지정면 강변로 507-2성당보건진료소 근처2023-05-17
5758의령군지정면신암경상남도 의령군 지정면 태부리 383 신정마을회관경상남도 의령군 지정면 함의로10길 7신정마을 공영주차장2023-05-17
5859의령군지정면나림경상남도 의령군 지정면 봉곡리763-1경상남도 의령군 지정면 함의로3길 19나림마을회관 근처2023-05-17
5960의령군지정면포외경상남도 의령군 지정면 마산리574-5경상남도 의령군 지정면 보덕로1길 48포외경로당2023-05-17
6061의령군지정면마산경상남도 의령군 지정면 마산리 948-8<NA>마산마을회관 맞은편2023-05-17
6162의령군칠곡면입암경상남도 의령군 칠곡면 신포리 739-2<NA>마을입구 주차장 쪽2023-05-17
6263의령군칠곡면죽공경상남도 의령군 칠곡면 산북리 549-1<NA>죽공마을복지회관2023-05-17
6364의령군칠곡면중촌경상남도 의령군 칠곡면 외조리 206-1경상남도 의령군 칠곡면 자굴산로1길 11-1중촌마을회관2023-05-17
6465의령군칠곡면신포경상남도 의령군 칠곡면 신포리 666-1<NA>신포마을회관 맞은편2023-05-17
6566의령군화정면유수경상남도 의령군 화정면 가수리 796-7 유수마을회관경상남도 의령군 화정면 진의로4길 139유수마을회관2023-05-17