Overview

Dataset statistics

Number of variables8
Number of observations66
Missing cells123
Missing cells (%)23.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory66.0 B

Variable types

Text4
Categorical4

Dataset

Description경기도 여주시 장사시설 공공데이터입니다. 장사시설명, 운영구분, 시설구분, 소재지도로명주소, 관리기관명, 전화번호, 데이터기준일자 등의 정보를 제공합니다.
Author경기도 여주시
URLhttps://www.data.go.kr/data/15090219/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시설구분 is highly overall correlated with 운영구분High correlation
운영구분 is highly overall correlated with 시설구분High correlation
시설구분 is highly imbalanced (57.2%)Imbalance
소재지도로명주소 has 57 (86.4%) missing valuesMissing
소재지지번주소 has 9 (13.6%) missing valuesMissing
전화번호 has 57 (86.4%) missing valuesMissing
장사시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:22:24.518787
Analysis finished2023-12-12 13:22:25.175744
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장사시설명
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T22:22:25.323234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0606061
Min length3

Characters and Unicode

Total characters532
Distinct characters97
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

Unique66 ?
Unique (%)100.0%

Sample

1st row여주장례식장
2nd row한국장례문화원
3rd row여주시민장례문화원
4th row세종여주병원장례식장
5th row가남베스트장례식장
ValueCountFrequency (%)
공동묘지 44
35.8%
공원묘지 5
 
4.1%
제1공동묘지 4
 
3.3%
제2공동묘지 4
 
3.3%
장안리 2
 
1.6%
석우리 2
 
1.6%
덕평리 2
 
1.6%
청안리 2
 
1.6%
처리 2
 
1.6%
상백리 1
 
0.8%
Other values (55) 55
44.7%
2023-12-12T22:22:25.641064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 60
 
11.3%
지 59
 
11.1%
동 58
 
10.9%
묘 58
 
10.9%
57
 
10.7%
리 51
 
9.6%
원 14
 
2.6%
장 10
 
1.9%
제 8
 
1.5%
신 6
 
1.1%
Other values (87) 151
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
87.8%
Space Separator 57
 
10.7%
Decimal Number 8
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 60
12.8%
지 59
12.6%
동 58
12.4%
묘 58
12.4%
리 51
 
10.9%
원 14
 
3.0%
장 10
 
2.1%
제 8
 
1.7%
신 6
 
1.3%
례 5
 
1.1%
Other values (84) 138
29.6%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
2 4
50.0%
Space Separator
ValueCountFrequency (%)
57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
87.8%
Common 65
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 60
12.8%
지 59
12.6%
동 58
12.4%
묘 58
12.4%
리 51
 
10.9%
원 14
 
3.0%
장 10
 
2.1%
제 8
 
1.7%
신 6
 
1.3%
례 5
 
1.1%
Other values (84) 138
29.6%
Common
ValueCountFrequency (%)
57
87.7%
1 4
 
6.2%
2 4
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
87.8%
ASCII 65
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 60
12.8%
지 59
12.6%
동 58
12.4%
묘 58
12.4%
리 51
 
10.9%
원 14
 
3.0%
장 10
 
2.1%
제 8
 
1.7%
신 6
 
1.3%
례 5
 
1.1%
Other values (84) 138
29.6%
ASCII
ValueCountFrequency (%)
57
87.7%
1 4
 
6.2%
2 4
 
6.2%

운영구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
공설
58 
사설
8 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공설 58
87.9%
사설 8
 
12.1%

Length

2023-12-12T22:22:25.754761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:22:25.834601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공설 58
87.9%
사설 8
 
12.1%

시설구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size660.0 B
공동묘지
52 
장례식장
 
5
공원묘지
 
5
자연장지, 봉안담
 
1
묘지, 봉안묘
 
1
Other values (2)
 
2

Length

Max length9
Median length4
Mean length4.1818182
Min length3

Unique

Unique4 ?
Unique (%)6.1%

Sample

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

Common Values

ValueCountFrequency (%)
공동묘지 52
78.8%
장례식장 5
 
7.6%
공원묘지 5
 
7.6%
자연장지, 봉안담 1
 
1.5%
묘지, 봉안묘 1
 
1.5%
자연장지, 봉안당 1
 
1.5%
봉안당 1
 
1.5%

Length

2023-12-12T22:22:25.927554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:22:26.022638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동묘지 52
75.4%
장례식장 5
 
7.2%
공원묘지 5
 
7.2%
자연장지 2
 
2.9%
봉안당 2
 
2.9%
봉안담 1
 
1.4%
묘지 1
 
1.4%
봉안묘 1
 
1.4%

소재지도로명주소
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing57
Missing (%)86.4%
Memory size660.0 B
2023-12-12T22:22:26.167486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length20.111111
Min length14

Characters and Unicode

Total characters181
Distinct characters44
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

Unique9 ?
Unique (%)100.0%

Sample

1st row경기도 여주시 세종대왕면 중부대로 2710-48
2nd row경기도 여주시 여양로 388-13
3rd row경기도 여주시 칠산길 28-8
4th row경기도 여주시 청심로 39
5th row경기도 여주시 가남읍 경충대로961번길 2-15
ValueCountFrequency (%)
경기도 9
21.4%
여주시 9
21.4%
가남읍 3
 
7.1%
흥천면 2
 
4.8%
중부대로 1
 
2.4%
2710-48 1
 
2.4%
부흥로 1
 
2.4%
105 1
 
2.4%
샘다리길 1
 
2.4%
459-35 1
 
2.4%
Other values (13) 13
31.0%
2023-12-12T22:22:26.425652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
18.2%
여 11
 
6.1%
경 10
 
5.5%
주 10
 
5.5%
기 9
 
5.0%
도 9
 
5.0%
시 9
 
5.0%
로 7
 
3.9%
- 5
 
2.8%
8 5
 
2.8%
Other values (34) 73
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107
59.1%
Decimal Number 36
 
19.9%
Space Separator 33
 
18.2%
Dash Punctuation 5
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 11
 
10.3%
경 10
 
9.3%
주 10
 
9.3%
기 9
 
8.4%
도 9
 
8.4%
시 9
 
8.4%
로 7
 
6.5%
남 4
 
3.7%
길 3
 
2.8%
가 3
 
2.8%
Other values (22) 32
29.9%
Decimal Number
ValueCountFrequency (%)
8 5
13.9%
1 5
13.9%
3 4
11.1%
5 4
11.1%
0 4
11.1%
9 4
11.1%
7 3
8.3%
2 3
8.3%
6 2
 
5.6%
4 2
 
5.6%
Space Separator
ValueCountFrequency (%)
33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107
59.1%
Common 74
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 11
 
10.3%
경 10
 
9.3%
주 10
 
9.3%
기 9
 
8.4%
도 9
 
8.4%
시 9
 
8.4%
로 7
 
6.5%
남 4
 
3.7%
길 3
 
2.8%
가 3
 
2.8%
Other values (22) 32
29.9%
Common
ValueCountFrequency (%)
33
44.6%
- 5
 
6.8%
8 5
 
6.8%
1 5
 
6.8%
3 4
 
5.4%
5 4
 
5.4%
0 4
 
5.4%
9 4
 
5.4%
7 3
 
4.1%
2 3
 
4.1%
Other values (2) 4
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107
59.1%
ASCII 74
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
44.6%
- 5
 
6.8%
8 5
 
6.8%
1 5
 
6.8%
3 4
 
5.4%
5 4
 
5.4%
0 4
 
5.4%
9 4
 
5.4%
7 3
 
4.1%
2 3
 
4.1%
Other values (2) 4
 
5.4%
Hangul
ValueCountFrequency (%)
여 11
 
10.3%
경 10
 
9.3%
주 10
 
9.3%
기 9
 
8.4%
도 9
 
8.4%
시 9
 
8.4%
로 7
 
6.5%
남 4
 
3.7%
길 3
 
2.8%
가 3
 
2.8%
Other values (22) 32
29.9%

소재지지번주소
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing9
Missing (%)13.6%
Memory size660.0 B
2023-12-12T22:22:26.681691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.175439
Min length15

Characters and Unicode

Total characters1150
Distinct characters98
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

Unique57 ?
Unique (%)100.0%

Sample

1st row경기도 여주시 점봉동 429-200
2nd row경기도 여주시 점동면 처리 735-2
3rd row경기도 여주시 점동면 현수리 164-2
4th row경기도 여주시 세종대왕면 광대리 198-18
5th row경기도 여주시 흥천면 하다리 78-3
ValueCountFrequency (%)
경기도 57
18.0%
여주시 57
18.0%
산 37
 
11.7%
점동면 15
 
4.7%
북내면 9
 
2.8%
흥천면 6
 
1.9%
세종대왕면 5
 
1.6%
가남읍 5
 
1.6%
강천면 4
 
1.3%
대신면 3
 
0.9%
Other values (110) 118
37.3%
2023-12-12T22:22:27.453740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
22.5%
도 58
 
5.0%
경 57
 
5.0%
기 57
 
5.0%
여 57
 
5.0%
주 57
 
5.0%
시 57
 
5.0%
리 51
 
4.4%
면 46
 
4.0%
산 39
 
3.4%
Other values (88) 412
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 710
61.7%
Space Separator 259
 
22.5%
Decimal Number 156
 
13.6%
Dash Punctuation 25
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 58
 
8.2%
경 57
 
8.0%
기 57
 
8.0%
여 57
 
8.0%
주 57
 
8.0%
시 57
 
8.0%
리 51
 
7.2%
면 46
 
6.5%
산 39
 
5.5%
동 21
 
3.0%
Other values (76) 210
29.6%
Decimal Number
ValueCountFrequency (%)
1 27
17.3%
2 23
14.7%
3 22
14.1%
5 16
10.3%
4 15
9.6%
7 15
9.6%
6 14
9.0%
8 13
8.3%
0 6
 
3.8%
9 5
 
3.2%
Space Separator
ValueCountFrequency (%)
259
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 710
61.7%
Common 440
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 58
 
8.2%
경 57
 
8.0%
기 57
 
8.0%
여 57
 
8.0%
주 57
 
8.0%
시 57
 
8.0%
리 51
 
7.2%
면 46
 
6.5%
산 39
 
5.5%
동 21
 
3.0%
Other values (76) 210
29.6%
Common
ValueCountFrequency (%)
259
58.9%
1 27
 
6.1%
- 25
 
5.7%
2 23
 
5.2%
3 22
 
5.0%
5 16
 
3.6%
4 15
 
3.4%
7 15
 
3.4%
6 14
 
3.2%
8 13
 
3.0%
Other values (2) 11
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 710
61.7%
ASCII 440
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
58.9%
1 27
 
6.1%
- 25
 
5.7%
2 23
 
5.2%
3 22
 
5.0%
5 16
 
3.6%
4 15
 
3.4%
7 15
 
3.4%
6 14
 
3.2%
8 13
 
3.0%
Other values (2) 11
 
2.5%
Hangul
ValueCountFrequency (%)
도 58
 
8.2%
경 57
 
8.0%
기 57
 
8.0%
여 57
 
8.0%
주 57
 
8.0%
시 57
 
8.0%
리 51
 
7.2%
면 46
 
6.5%
산 39
 
5.5%
동 21
 
3.0%
Other values (76) 210
29.6%

관리기관명
Categorical

CONSTANT 

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

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 여주시청
2nd row경기도 여주시청
3rd row경기도 여주시청
4th row경기도 여주시청
5th row경기도 여주시청

Common Values

ValueCountFrequency (%)
경기도 여주시청 66
100.0%

Length

2023-12-12T22:22:27.586916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:22:27.675405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 66
50.0%
여주시청 66
50.0%

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing57
Missing (%)86.4%
Memory size660.0 B
2023-12-12T22:22:27.855376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters108
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row031-885-1919
2nd row031-885-4400
3rd row031-882-1000
4th row031-886-4496
5th row031-882-1024
ValueCountFrequency (%)
031-885-1919 1
11.1%
031-885-4400 1
11.1%
031-882-1000 1
11.1%
031-886-4496 1
11.1%
031-882-1024 1
11.1%
031-880-4061 1
11.1%
031-882-6688 1
11.1%
031-886-4060 1
11.1%
031-881-3371 1
11.1%
2023-12-12T22:22:28.193183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 20
18.5%
0 19
17.6%
- 18
16.7%
1 16
14.8%
3 11
10.2%
4 7
 
6.5%
6 7
 
6.5%
2 4
 
3.7%
9 3
 
2.8%
5 2
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
83.3%
Dash Punctuation 18
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 20
22.2%
0 19
21.1%
1 16
17.8%
3 11
12.2%
4 7
 
7.8%
6 7
 
7.8%
2 4
 
4.4%
9 3
 
3.3%
5 2
 
2.2%
7 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 108
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 20
18.5%
0 19
17.6%
- 18
16.7%
1 16
14.8%
3 11
10.2%
4 7
 
6.5%
6 7
 
6.5%
2 4
 
3.7%
9 3
 
2.8%
5 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 20
18.5%
0 19
17.6%
- 18
16.7%
1 16
14.8%
3 11
10.2%
4 7
 
6.5%
6 7
 
6.5%
2 4
 
3.7%
9 3
 
2.8%
5 2
 
1.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-11-15
66 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-15
2nd row2023-11-15
3rd row2023-11-15
4th row2023-11-15
5th row2023-11-15

Common Values

ValueCountFrequency (%)
2023-11-15 66
100.0%

Length

2023-12-12T22:22:28.339524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:22:28.459888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-15 66
100.0%

Correlations

2023-12-12T22:22:28.536900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장사시설명운영구분시설구분소재지도로명주소소재지지번주소전화번호
장사시설명1.0001.0001.0001.0001.0001.000
운영구분1.0001.0001.0001.000NaN1.000
시설구분1.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.000NaN1.000
소재지지번주소1.000NaN1.000NaN1.000NaN
전화번호1.0001.0001.0001.000NaN1.000
2023-12-12T22:22:28.677250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분운영구분
시설구분1.0000.960
운영구분0.9601.000
2023-12-12T22:22:28.768466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영구분시설구분
운영구분1.0000.960
시설구분0.9601.000

Missing values

2023-12-12T22:22:24.877916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:22:25.020866image/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.
2023-12-12T22:22:25.121408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

장사시설명운영구분시설구분소재지도로명주소소재지지번주소관리기관명전화번호데이터기준일자
0여주장례식장사설장례식장경기도 여주시 세종대왕면 중부대로 2710-48<NA>경기도 여주시청031-885-19192023-11-15
1한국장례문화원사설장례식장경기도 여주시 여양로 388-13<NA>경기도 여주시청031-885-44002023-11-15
2여주시민장례문화원사설장례식장경기도 여주시 칠산길 28-8<NA>경기도 여주시청031-882-10002023-11-15
3세종여주병원장례식장사설장례식장경기도 여주시 청심로 39<NA>경기도 여주시청031-886-44962023-11-15
4가남베스트장례식장사설장례식장경기도 여주시 가남읍 경충대로961번길 2-15<NA>경기도 여주시청031-882-10242023-11-15
5여주추모공원공설자연장지, 봉안담경기도 여주시 가남읍 여주남로 769<NA>경기도 여주시청031-880-40612023-11-15
6남한강공원묘원사설묘지, 봉안묘경기도 여주시 가남읍 송삼로 459-35<NA>경기도 여주시청031-882-66882023-11-15
7세종추모공원사설자연장지, 봉안당경기도 여주시 흥천면 샘다리길 105<NA>경기도 여주시청031-886-40602023-11-15
8청운사사설봉안당경기도 여주시 흥천면 부흥로 700<NA>경기도 여주시청031-881-33712023-11-15
9점봉동 공원묘지공설공원묘지<NA>경기도 여주시 점봉동 429-200경기도 여주시청<NA>2023-11-15
장사시설명운영구분시설구분소재지도로명주소소재지지번주소관리기관명전화번호데이터기준일자
56서원리 공동묘지공설공동묘지<NA>경기도 여주시 북내면 서원리 산 56경기도 여주시청<NA>2023-11-15
57석우리 제1공동묘지공설공동묘지<NA>경기도 여주시 북내면 석우리 산 17경기도 여주시청<NA>2023-11-15
58석우리 제2공동묘지공설공동묘지<NA>경기도 여주시 북내면 석우리 산 69경기도 여주시청<NA>2023-11-15
59중암리 공동묘지공설공동묘지<NA>경기도 여주시 북내면 중암리 711-1경기도 여주시청<NA>2023-11-15
60신접리 공동묘지공설공동묘지<NA>경기도 여주시 북내면 신접리 185-5경기도 여주시청<NA>2023-11-15
61지내리 공동묘지공설공동묘지<NA>경기도 여주시 북내면 지내리 산 66경기도 여주시청<NA>2023-11-15
62이호리 공동묘지공설공동묘지<NA>경기도 여주시 강천면 이호리 산 24경기도 여주시청<NA>2023-11-15
63적금리 공동묘지공설공동묘지<NA>경기도 여주시 강천면 적금리 420-12경기도 여주시청<NA>2023-11-15
64부평리 공동묘지공설공동묘지<NA>경기도 여주시 강천면 부평리 산 76경기도 여주시청<NA>2023-11-15
65도전리 공동묘지공설공동묘지<NA>경기도 여주시 강천면 도전리 산 238경기도 여주시청<NA>2023-11-15