Overview

Dataset statistics

Number of variables12
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory100.9 B

Variable types

Numeric1
Categorical8
Text3

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
자연장형태 is highly overall correlated with 구분High correlation
편의시설 is highly overall correlated with 구분High correlation
자연장형태 is highly imbalanced (73.8%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:19:53.501084
Analysis finished2024-03-14 00:19:54.407969
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-14T09:19:54.472259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2024-03-14T09:19:54.588821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

시군명
Categorical

Distinct13
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
전주시
9 
고창군
7 
익산시
7 
군산시
5 
김제시
3 
Other values (8)
14 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)6.7%

Sample

1st row전주시
2nd row고창군
3rd row익산시
4th row전주시
5th row전주시

Common Values

ValueCountFrequency (%)
전주시 9
20.0%
고창군 7
15.6%
익산시 7
15.6%
군산시 5
11.1%
김제시 3
 
6.7%
진안군 3
 
6.7%
남원시 2
 
4.4%
완주군 2
 
4.4%
무주군 2
 
4.4%
정읍시 2
 
4.4%
Other values (3) 3
 
6.7%

Length

2024-03-14T09:19:54.693922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 9
20.0%
고창군 7
15.6%
익산시 7
15.6%
군산시 5
11.1%
김제시 3
 
6.7%
진안군 3
 
6.7%
남원시 2
 
4.4%
완주군 2
 
4.4%
무주군 2
 
4.4%
정읍시 2
 
4.4%
Other values (3) 3
 
6.7%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
봉안시설(봉안당)
20 
공설묘지
15 
사설법인묘지
5 
자연장지시설
3 
봉안시설(봉안묘,봉안탑)
 
2

Length

Max length13
Median length9
Mean length6.9777778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자연장지시설
2nd row자연장지시설
3rd row자연장지시설
4th row봉안시설(봉안당)
5th row봉안시설(봉안당)

Common Values

ValueCountFrequency (%)
봉안시설(봉안당) 20
44.4%
공설묘지 15
33.3%
사설법인묘지 5
 
11.1%
자연장지시설 3
 
6.7%
봉안시설(봉안묘,봉안탑) 2
 
4.4%

Length

2024-03-14T09:19:54.785842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:19:54.876451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
봉안시설(봉안당 20
44.4%
공설묘지 15
33.3%
사설법인묘지 5
 
11.1%
자연장지시설 3
 
6.7%
봉안시설(봉안묘,봉안탑 2
 
4.4%

명칭
Text

Distinct42
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T09:19:55.049791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.1777778
Min length3

Characters and Unicode

Total characters278
Distinct characters81
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

Unique41 ?
Unique (%)91.1%

Sample

1st row전주효자자연장
2nd row고창군자연장
3rd row익산자연장
4th row전주봉안당
5th row전주봉안원
ValueCountFrequency (%)
추모의집 4
 
8.7%
장계공설묘지 1
 
2.2%
재)전주공원묘원 1
 
2.2%
임실공설묘지 1
 
2.2%
팔봉공설묘지 1
 
2.2%
여산공설묘지 1
 
2.2%
입암공설묘지 1
 
2.2%
완주공설묘지 1
 
2.2%
송풍망향공설묘지 1
 
2.2%
상전망향공설묘지 1
 
2.2%
Other values (33) 33
71.7%
2024-03-14T09:19:55.442673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 21
 
7.6%
묘 21
 
7.6%
원 17
 
6.1%
지 15
 
5.4%
설 14
 
5.0%
모 11
 
4.0%
( 10
 
3.6%
) 10
 
3.6%
추 9
 
3.2%
전 8
 
2.9%
Other values (71) 142
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 257
92.4%
Open Punctuation 10
 
3.6%
Close Punctuation 10
 
3.6%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 21
 
8.2%
묘 21
 
8.2%
원 17
 
6.6%
지 15
 
5.8%
설 14
 
5.4%
모 11
 
4.3%
추 9
 
3.5%
전 8
 
3.1%
안 7
 
2.7%
봉 7
 
2.7%
Other values (68) 127
49.4%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 257
92.4%
Common 21
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 21
 
8.2%
묘 21
 
8.2%
원 17
 
6.6%
지 15
 
5.8%
설 14
 
5.4%
모 11
 
4.3%
추 9
 
3.5%
전 8
 
3.1%
안 7
 
2.7%
봉 7
 
2.7%
Other values (68) 127
49.4%
Common
ValueCountFrequency (%)
( 10
47.6%
) 10
47.6%
1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 257
92.4%
ASCII 21
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 21
 
8.2%
묘 21
 
8.2%
원 17
 
6.6%
지 15
 
5.8%
설 14
 
5.4%
모 11
 
4.3%
추 9
 
3.5%
전 8
 
3.1%
안 7
 
2.7%
봉 7
 
2.7%
Other values (68) 127
49.4%
ASCII
ValueCountFrequency (%)
( 10
47.6%
) 10
47.6%
1
 
4.8%

도로명주소
Text

Distinct42
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T09:19:55.691374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length17
Min length11

Characters and Unicode

Total characters765
Distinct characters109
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

Unique39 ?
Unique (%)86.7%

Sample

1st row전주시 완산구 콩쥐팥쥐로 1705-108
2nd row고창군 신림면 왕림로 94-54
3rd row익산시 무왕로 1503
4th row전주시 완산구 콩쥐팥쥐로 1705-138
5th row전주시 완산구 콩쥐팥쥐로 1705-124
ValueCountFrequency (%)
전주시 9
 
5.1%
완산구 8
 
4.6%
고창군 7
 
4.0%
익산시 7
 
4.0%
콩쥐팥쥐로 5
 
2.9%
군산시 5
 
2.9%
임피면 4
 
2.3%
진안군 3
 
1.7%
부안면 3
 
1.7%
김제시 3
 
1.7%
Other values (103) 121
69.1%
2024-03-14T09:19:56.055105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
 
17.0%
로 34
 
4.4%
시 28
 
3.7%
2 27
 
3.5%
면 27
 
3.5%
5 26
 
3.4%
- 26
 
3.4%
1 25
 
3.3%
산 25
 
3.3%
3 23
 
3.0%
Other values (99) 394
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 420
54.9%
Decimal Number 189
24.7%
Space Separator 130
 
17.0%
Dash Punctuation 26
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 34
 
8.1%
시 28
 
6.7%
면 27
 
6.4%
산 25
 
6.0%
군 22
 
5.2%
주 16
 
3.8%
길 13
 
3.1%
전 11
 
2.6%
쥐 10
 
2.4%
완 10
 
2.4%
Other values (87) 224
53.3%
Decimal Number
ValueCountFrequency (%)
2 27
14.3%
5 26
13.8%
1 25
13.2%
3 23
12.2%
7 22
11.6%
4 21
11.1%
0 14
7.4%
6 13
6.9%
9 10
 
5.3%
8 8
 
4.2%
Space Separator
ValueCountFrequency (%)
130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 420
54.9%
Common 345
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 34
 
8.1%
시 28
 
6.7%
면 27
 
6.4%
산 25
 
6.0%
군 22
 
5.2%
주 16
 
3.8%
길 13
 
3.1%
전 11
 
2.6%
쥐 10
 
2.4%
완 10
 
2.4%
Other values (87) 224
53.3%
Common
ValueCountFrequency (%)
130
37.7%
2 27
 
7.8%
5 26
 
7.5%
- 26
 
7.5%
1 25
 
7.2%
3 23
 
6.7%
7 22
 
6.4%
4 21
 
6.1%
0 14
 
4.1%
6 13
 
3.8%
Other values (2) 18
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 420
54.9%
ASCII 345
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
37.7%
2 27
 
7.8%
5 26
 
7.5%
- 26
 
7.5%
1 25
 
7.2%
3 23
 
6.7%
7 22
 
6.4%
4 21
 
6.1%
0 14
 
4.1%
6 13
 
3.8%
Other values (2) 18
 
5.2%
Hangul
ValueCountFrequency (%)
로 34
 
8.1%
시 28
 
6.7%
면 27
 
6.4%
산 25
 
6.0%
군 22
 
5.2%
주 16
 
3.8%
길 13
 
3.1%
전 11
 
2.6%
쥐 10
 
2.4%
완 10
 
2.4%
Other values (87) 224
53.3%

전화번호
Text

Distinct36
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T09:19:56.226958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.022222
Min length12

Characters and Unicode

Total characters541
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

Unique29 ?
Unique (%)64.4%

Sample

1st row063-239-2690
2nd row063-564-7852
3rd row063-859-3480
4th row063-281-2788
5th row063-281-2790
ValueCountFrequency (%)
063-833-3657 4
 
8.9%
063-281-2788 2
 
4.4%
063-543-5551 2
 
4.4%
063-560-2614 2
 
4.4%
063-560-2603 2
 
4.4%
063-453-6159 2
 
4.4%
063-836-4311 2
 
4.4%
063-453-5510 1
 
2.2%
063-450-6159 1
 
2.2%
063-538-4905 1
 
2.2%
Other values (26) 26
57.8%
2024-03-14T09:19:56.507208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 101
18.7%
- 90
16.6%
0 77
14.2%
6 76
14.0%
5 47
8.7%
2 38
 
7.0%
4 33
 
6.1%
1 25
 
4.6%
8 21
 
3.9%
9 18
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 451
83.4%
Dash Punctuation 90
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 101
22.4%
0 77
17.1%
6 76
16.9%
5 47
10.4%
2 38
 
8.4%
4 33
 
7.3%
1 25
 
5.5%
8 21
 
4.7%
9 18
 
4.0%
7 15
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 541
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 101
18.7%
- 90
16.6%
0 77
14.2%
6 76
14.0%
5 47
8.7%
2 38
 
7.0%
4 33
 
6.1%
1 25
 
4.6%
8 21
 
3.9%
9 18
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 101
18.7%
- 90
16.6%
0 77
14.2%
6 76
14.0%
5 47
8.7%
2 38
 
7.0%
4 33
 
6.1%
1 25
 
4.6%
8 21
 
3.9%
9 18
 
3.3%

자연장형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
-
42 
잔디형
 
2
잔디형외
 
1

Length

Max length4
Median length1
Mean length1.1555556
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row잔디형
2nd row잔디형외
3rd row잔디형
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 42
93.3%
잔디형 2
 
4.4%
잔디형외 1
 
2.2%

Length

2024-03-14T09:19:56.651814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:19:56.783083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
42
93.3%
잔디형 2
 
4.4%
잔디형외 1
 
2.2%

편의시설
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
-
23 
주차장, 휴게실
17 
주차장
 
2
재실법당
 
1
휴게실
 
1

Length

Max length8
Median length1
Mean length4
Min length1

Unique

Unique3 ?
Unique (%)6.7%

Sample

1st row-
2nd row-
3rd row-
4th row주차장, 휴게실
5th row주차장, 휴게실

Common Values

ValueCountFrequency (%)
- 23
51.1%
주차장, 휴게실 17
37.8%
주차장 2
 
4.4%
재실법당 1
 
2.2%
휴게실 1
 
2.2%
주차장, 화장실 1
 
2.2%

Length

2024-03-14T09:19:56.881799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:19:56.979219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23
36.5%
주차장 20
31.7%
휴게실 18
28.6%
재실법당 1
 
1.6%
화장실 1
 
1.6%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
노인장애인복지과
45 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인장애인복지과 45
100.0%

Length

2024-03-14T09:19:57.075638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:19:57.165459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인장애인복지과 45
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
공개
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 45
100.0%

Length

2024-03-14T09:19:57.251611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:19:57.335892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 45
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
2015.1
45 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 45
100.0%

Length

2024-03-14T09:19:57.480504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:19:57.576685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 45
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
1년
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 45
100.0%

Length

2024-03-14T09:19:57.665221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:19:57.738706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 45
100.0%

Interactions

2024-03-14T09:19:54.099491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:19:57.790660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명구분명칭도로명주소전화번호자연장형태편의시설
순번1.0000.7140.9790.9600.9210.8940.4780.693
시군명0.7141.0000.0000.7231.0001.0000.0000.444
구분0.9790.0001.0001.0000.9070.8490.6920.678
명칭0.9600.7231.0001.0000.9830.9401.0000.000
도로명주소0.9211.0000.9070.9831.0000.9941.0000.000
전화번호0.8941.0000.8490.9400.9941.0001.0000.000
자연장형태0.4780.0000.6921.0001.0001.0001.0000.000
편의시설0.6930.4440.6780.0000.0000.0000.0001.000
2024-03-14T09:19:57.884457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명구분편의시설자연장형태
시군명1.0000.0000.2000.000
구분0.0001.0000.5320.655
편의시설0.2000.5321.0000.000
자연장형태0.0000.6550.0001.000
2024-03-14T09:19:57.982460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명구분자연장형태편의시설
순번1.0000.3670.7700.2920.422
시군명0.3671.0000.0000.0000.200
구분0.7700.0001.0000.6550.532
자연장형태0.2920.0000.6551.0000.000
편의시설0.4220.2000.5320.0001.000

Missing values

2024-03-14T09:19:54.186121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:19:54.343529image/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

순번시군명구분명칭도로명주소전화번호자연장형태편의시설자료출처공개여부작성일갱신주기
01전주시자연장지시설전주효자자연장전주시 완산구 콩쥐팥쥐로 1705-108063-239-2690잔디형-노인장애인복지과공개2015.11년
12고창군자연장지시설고창군자연장고창군 신림면 왕림로 94-54063-564-7852잔디형외-노인장애인복지과공개2015.11년
23익산시자연장지시설익산자연장익산시 무왕로 1503063-859-3480잔디형-노인장애인복지과공개2015.11년
34전주시봉안시설(봉안당)전주봉안당전주시 완산구 콩쥐팥쥐로 1705-138063-281-2788-주차장, 휴게실노인장애인복지과공개2015.11년
45전주시봉안시설(봉안당)전주봉안원전주시 완산구 콩쥐팥쥐로 1705-124063-281-2790-주차장, 휴게실노인장애인복지과공개2015.11년
56전주시봉안시설(봉안당)효자추모관전주시 완산구 콩쥐팥쥐로 1705-31063-227-6811-주차장, 휴게실노인장애인복지과공개2015.11년
67전주시봉안시설(봉안당)금상동성당전주시 덕진구 전진로 107-13063-245-0091-주차장, 휴게실노인장애인복지과공개2015.11년
78전주시봉안시설(봉안당)그린피아추모관전주시 완산구 쑥고개옛길 51063-237-1009-주차장, 휴게실노인장애인복지과공개2015.11년
89전주시봉안시설(봉안당)정읍사원전주시 완산구 콩쥐팥쥐로 1705-152063-224-0924-주차장, 휴게실노인장애인복지과공개2015.11년
910전주시봉안시설(봉안당)모악추모공원전주시 완산구 우림로 714063-1577-3525-주차장, 휴게실노인장애인복지과공개2015.11년
순번시군명구분명칭도로명주소전화번호자연장형태편의시설자료출처공개여부작성일갱신주기
3536고창군공설묘지아산주진공설묘지고창군 아산면 녹두로 546-21063-560-2603--노인장애인복지과공개2015.11년
3637고창군공설묘지부안용산공설묘지고창군 부안면 복분자로 567-2063-560-2614--노인장애인복지과공개2015.11년
3738고창군공설묘지부안수동공설묘지고창군 부안면 인촌로 999063-560-2614--노인장애인복지과공개2015.11년
3839고창군공설묘지신림덕화공설묘지고창군 신림면 가평로 576063-560-2613--노인장애인복지과공개2015.11년
3940고창군공설묘지무장고라공설묘지고창군 무장면 반송길 16063-560-2603--노인장애인복지과공개2015.11년
4041군산시사설법인묘지(재)봉황공원묘원군산시 임피면 서원석곡로 387063-453-5533--노인장애인복지과공개2015.11년
4142익산시사설법인묘지(재)영모묘원익산시 왕궁면 호반로 173-45063-836-4311--노인장애인복지과공개2015.11년
4243정읍시사설법인묘지(재)화신공원묘원정읍시 옹동면 옹동용호길 82063-538-4905--노인장애인복지과공개2015.11년
4344진안군사설법인묘지(재)전주공원묘원진안군 부귀면 모래재로 572063-433-9104--노인장애인복지과공개2015.11년
4445무주군사설법인묘지(재)선경공원묘원무주군 적상면 삼방로 509063-324-4000--노인장애인복지과공개2015.11년