Overview

Dataset statistics

Number of variables7
Number of observations516
Missing cells271
Missing cells (%)7.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.9 KiB
Average record size in memory57.3 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description진주에 소재하고 있는 종교시설 (기독교, 천주교, 불교, 원불교, 개신교)의 시설명, 주소 전화번호 등 관련 현황 자료
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15117659

Alerts

데이터기준일자 has constant value ""Constant
지번주소 has 146 (28.3%) missing valuesMissing
전화번호 has 125 (24.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:38:51.460906
Analysis finished2023-12-11 00:38:52.103055
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct516
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258.5
Minimum1
Maximum516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-11T09:38:52.170070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.75
Q1129.75
median258.5
Q3387.25
95-th percentile490.25
Maximum516
Range515
Interquartile range (IQR)257.5

Descriptive statistics

Standard deviation149.10064
Coefficient of variation (CV)0.57679163
Kurtosis-1.2
Mean258.5
Median Absolute Deviation (MAD)129
Skewness0
Sum133386
Variance22231
MonotonicityStrictly increasing
2023-12-11T09:38:52.293256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
325 1
 
0.2%
355 1
 
0.2%
354 1
 
0.2%
353 1
 
0.2%
352 1
 
0.2%
351 1
 
0.2%
350 1
 
0.2%
349 1
 
0.2%
348 1
 
0.2%
Other values (506) 506
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
516 1
0.2%
515 1
0.2%
514 1
0.2%
513 1
0.2%
512 1
0.2%
511 1
0.2%
510 1
0.2%
509 1
0.2%
508 1
0.2%
507 1
0.2%

종교구분
Categorical

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
기독교
271 
불교
212 
천주교
 
14
기타
 
13
원불교
 
5

Length

Max length4
Median length3
Mean length2.5658915
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 271
52.5%
불교 212
41.1%
천주교 14
 
2.7%
기타 13
 
2.5%
원불교 5
 
1.0%
이슬람교 1
 
0.2%

Length

2023-12-11T09:38:52.404603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:38:52.496757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 271
52.5%
불교 212
41.1%
천주교 14
 
2.7%
기타 13
 
2.5%
원불교 5
 
1.0%
이슬람교 1
 
0.2%

종교시설명
Text

Distinct480
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T09:38:52.685233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length4.6492248
Min length3

Characters and Unicode

Total characters2399
Distinct characters261
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique452 ?
Unique (%)87.6%

Sample

1st row갈곡교회
2nd row문산감리교회
3rd row문산교회
4th row사랑의 엘림교회
5th row상문교회
ValueCountFrequency (%)
교회 7
 
1.3%
진주교회 4
 
0.7%
참빛교회 4
 
0.7%
관음사 4
 
0.7%
반석교회 3
 
0.5%
사랑의 3
 
0.5%
불광사 3
 
0.5%
하나님의교회 3
 
0.5%
평화교회 2
 
0.4%
순복음진주 2
 
0.4%
Other values (490) 511
93.6%
2023-12-11T09:38:53.001885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 303
 
12.6%
회 281
 
11.7%
사 159
 
6.6%
진 93
 
3.9%
주 93
 
3.9%
암 61
 
2.5%
성 59
 
2.5%
원 37
 
1.5%
대 34
 
1.4%
30
 
1.3%
Other values (251) 1249
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2332
97.2%
Space Separator 30
 
1.3%
Open Punctuation 12
 
0.5%
Close Punctuation 12
 
0.5%
Decimal Number 5
 
0.2%
Lowercase Letter 5
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 303
 
13.0%
회 281
 
12.0%
사 159
 
6.8%
진 93
 
4.0%
주 93
 
4.0%
암 61
 
2.6%
성 59
 
2.5%
원 37
 
1.6%
대 34
 
1.5%
천 28
 
1.2%
Other values (237) 1184
50.8%
Lowercase Letter
ValueCountFrequency (%)
c 1
20.0%
i 1
20.0%
s 1
20.0%
a 1
20.0%
b 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
7 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
S 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2332
97.2%
Common 59
 
2.5%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 303
 
13.0%
회 281
 
12.0%
사 159
 
6.8%
진 93
 
4.0%
주 93
 
4.0%
암 61
 
2.6%
성 59
 
2.5%
원 37
 
1.6%
대 34
 
1.5%
천 28
 
1.2%
Other values (237) 1184
50.8%
Latin
ValueCountFrequency (%)
G 1
12.5%
S 1
12.5%
c 1
12.5%
i 1
12.5%
s 1
12.5%
a 1
12.5%
b 1
12.5%
I 1
12.5%
Common
ValueCountFrequency (%)
30
50.8%
( 12
 
20.3%
) 12
 
20.3%
1 2
 
3.4%
2 2
 
3.4%
7 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2332
97.2%
ASCII 67
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 303
 
13.0%
회 281
 
12.0%
사 159
 
6.8%
진 93
 
4.0%
주 93
 
4.0%
암 61
 
2.6%
성 59
 
2.5%
원 37
 
1.6%
대 34
 
1.5%
천 28
 
1.2%
Other values (237) 1184
50.8%
ASCII
ValueCountFrequency (%)
30
44.8%
( 12
 
17.9%
) 12
 
17.9%
1 2
 
3.0%
2 2
 
3.0%
G 1
 
1.5%
S 1
 
1.5%
c 1
 
1.5%
i 1
 
1.5%
s 1
 
1.5%
Other values (4) 4
 
6.0%

도로명주소
Text

Distinct514
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T09:38:53.228036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length23.125969
Min length14

Characters and Unicode

Total characters11933
Distinct characters185
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

Unique512 ?
Unique (%)99.2%

Sample

1st row경상남도 진주시 문산읍 갈곡길 16번길 7
2nd row경상남도 진주시 문산읍 월아산로 1052번길 6
3rd row경상남도 진주시 문산읍 월아산로 1117번길 15-26
4th row경상남도 진주시 문산읍 동부로 730-21
5th row경상남도 진주시 문산읍 문산로 890
ValueCountFrequency (%)
진주시 517
21.2%
경상남도 516
21.1%
명석면 39
 
1.6%
금산면 23
 
0.9%
대곡면 23
 
0.9%
문산읍 21
 
0.9%
진주대로 19
 
0.8%
집현면 16
 
0.7%
미천면 15
 
0.6%
지수면 15
 
0.6%
Other values (837) 1239
50.7%
2023-12-11T09:38:53.587309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1939
 
16.2%
진 628
 
5.3%
주 565
 
4.7%
남 550
 
4.6%
상 550
 
4.6%
경 540
 
4.5%
도 525
 
4.4%
시 518
 
4.3%
1 484
 
4.1%
로 409
 
3.4%
Other values (175) 5225
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7161
60.0%
Decimal Number 2277
 
19.1%
Space Separator 1939
 
16.2%
Dash Punctuation 235
 
2.0%
Open Punctuation 138
 
1.2%
Close Punctuation 138
 
1.2%
Other Punctuation 43
 
0.4%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 628
 
8.8%
주 565
 
7.9%
남 550
 
7.7%
상 550
 
7.7%
경 540
 
7.5%
도 525
 
7.3%
시 518
 
7.2%
로 409
 
5.7%
길 368
 
5.1%
번 266
 
3.7%
Other values (158) 2242
31.3%
Decimal Number
ValueCountFrequency (%)
1 484
21.3%
2 319
14.0%
3 245
10.8%
4 212
9.3%
5 204
9.0%
6 189
 
8.3%
9 176
 
7.7%
7 155
 
6.8%
0 149
 
6.5%
8 144
 
6.3%
Space Separator
ValueCountFrequency (%)
1939
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%
Open Punctuation
ValueCountFrequency (%)
( 138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7161
60.0%
Common 4771
40.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 628
 
8.8%
주 565
 
7.9%
남 550
 
7.7%
상 550
 
7.7%
경 540
 
7.5%
도 525
 
7.3%
시 518
 
7.2%
로 409
 
5.7%
길 368
 
5.1%
번 266
 
3.7%
Other values (158) 2242
31.3%
Common
ValueCountFrequency (%)
1939
40.6%
1 484
 
10.1%
2 319
 
6.7%
3 245
 
5.1%
- 235
 
4.9%
4 212
 
4.4%
5 204
 
4.3%
6 189
 
4.0%
9 176
 
3.7%
7 155
 
3.2%
Other values (6) 613
 
12.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7161
60.0%
ASCII 4772
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1939
40.6%
1 484
 
10.1%
2 319
 
6.7%
3 245
 
5.1%
- 235
 
4.9%
4 212
 
4.4%
5 204
 
4.3%
6 189
 
4.0%
9 176
 
3.7%
7 155
 
3.2%
Other values (7) 614
 
12.9%
Hangul
ValueCountFrequency (%)
진 628
 
8.8%
주 565
 
7.9%
남 550
 
7.7%
상 550
 
7.7%
경 540
 
7.5%
도 525
 
7.3%
시 518
 
7.2%
로 409
 
5.7%
길 368
 
5.1%
번 266
 
3.7%
Other values (158) 2242
31.3%

지번주소
Text

MISSING 

Distinct367
Distinct (%)99.2%
Missing146
Missing (%)28.3%
Memory size4.2 KiB
2023-12-11T09:38:53.897362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length18.613514
Min length15

Characters and Unicode

Total characters6887
Distinct characters128
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique364 ?
Unique (%)98.4%

Sample

1st row경상남도 진주시 문산읍 갈곡리 1084
2nd row경상남도 진주시 문산읍 삼곡리 1209-6
3rd row경상남도 진주시 문산읍 소문리 687
4th row경상남도 진주시 문산읍 상문리 963
5th row경상남도 진주시 문산읍 상문리 159-5
ValueCountFrequency (%)
경상남도 370
23.8%
진주시 370
23.8%
상대동 28
 
1.8%
대곡면 23
 
1.5%
신안동 20
 
1.3%
하대동 20
 
1.3%
평거동 17
 
1.1%
문산읍 15
 
1.0%
상평동 15
 
1.0%
망경동 15
 
1.0%
Other values (482) 659
42.5%
2023-12-11T09:38:54.331309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1186
17.2%
상 443
 
6.4%
경 385
 
5.6%
주 375
 
5.4%
남 375
 
5.4%
도 370
 
5.4%
진 370
 
5.4%
시 370
 
5.4%
1 299
 
4.3%
- 270
 
3.9%
Other values (118) 2444
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3950
57.4%
Decimal Number 1460
 
21.2%
Space Separator 1186
 
17.2%
Dash Punctuation 270
 
3.9%
Other Punctuation 14
 
0.2%
Close Punctuation 4
 
0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 443
11.2%
경 385
9.7%
주 375
9.5%
남 375
9.5%
도 370
9.4%
진 370
9.4%
시 370
9.4%
동 251
 
6.4%
리 125
 
3.2%
대 83
 
2.1%
Other values (103) 803
20.3%
Decimal Number
ValueCountFrequency (%)
1 299
20.5%
2 201
13.8%
4 161
11.0%
3 153
10.5%
9 119
 
8.2%
5 110
 
7.5%
6 108
 
7.4%
7 106
 
7.3%
8 102
 
7.0%
0 101
 
6.9%
Space Separator
ValueCountFrequency (%)
1186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3950
57.4%
Common 2937
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 443
11.2%
경 385
9.7%
주 375
9.5%
남 375
9.5%
도 370
9.4%
진 370
9.4%
시 370
9.4%
동 251
 
6.4%
리 125
 
3.2%
대 83
 
2.1%
Other values (103) 803
20.3%
Common
ValueCountFrequency (%)
1186
40.4%
1 299
 
10.2%
- 270
 
9.2%
2 201
 
6.8%
4 161
 
5.5%
3 153
 
5.2%
9 119
 
4.1%
5 110
 
3.7%
6 108
 
3.7%
7 106
 
3.6%
Other values (5) 224
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3950
57.4%
ASCII 2937
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1186
40.4%
1 299
 
10.2%
- 270
 
9.2%
2 201
 
6.8%
4 161
 
5.5%
3 153
 
5.2%
9 119
 
4.1%
5 110
 
3.7%
6 108
 
3.7%
7 106
 
3.6%
Other values (5) 224
 
7.6%
Hangul
ValueCountFrequency (%)
상 443
11.2%
경 385
9.7%
주 375
9.5%
남 375
9.5%
도 370
9.4%
진 370
9.4%
시 370
9.4%
동 251
 
6.4%
리 125
 
3.2%
대 83
 
2.1%
Other values (103) 803
20.3%

전화번호
Text

MISSING 

Distinct386
Distinct (%)98.7%
Missing125
Missing (%)24.2%
Memory size4.2 KiB
2023-12-11T09:38:54.577450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length12.294118
Min length9

Characters and Unicode

Total characters4807
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique381 ?
Unique (%)97.4%

Sample

1st row055-759-5004
2nd row055-761-4349
3rd row055-761-6352
4th row055-762-5004
5th row055-758-4802
ValueCountFrequency (%)
055-755-8962 2
 
0.5%
055-742-7060 2
 
0.5%
055-762-1611 2
 
0.5%
055-743-5100 2
 
0.5%
055-756-5680 2
 
0.5%
055-746-5833 1
 
0.3%
055-745-8293 1
 
0.3%
055-745-8961 1
 
0.3%
055-744-1530 1
 
0.3%
055-741-8586 1
 
0.3%
Other values (376) 376
96.2%
2023-12-11T09:38:55.018163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1158
24.1%
- 799
16.6%
0 597
12.4%
7 565
11.8%
4 399
 
8.3%
6 275
 
5.7%
1 240
 
5.0%
2 198
 
4.1%
3 193
 
4.0%
8 188
 
3.9%
Other values (2) 195
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3999
83.2%
Dash Punctuation 799
 
16.6%
Math Symbol 9
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1158
29.0%
0 597
14.9%
7 565
14.1%
4 399
 
10.0%
6 275
 
6.9%
1 240
 
6.0%
2 198
 
5.0%
3 193
 
4.8%
8 188
 
4.7%
9 186
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 799
100.0%
Math Symbol
ValueCountFrequency (%)
+ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4807
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1158
24.1%
- 799
16.6%
0 597
12.4%
7 565
11.8%
4 399
 
8.3%
6 275
 
5.7%
1 240
 
5.0%
2 198
 
4.1%
3 193
 
4.0%
8 188
 
3.9%
Other values (2) 195
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1158
24.1%
- 799
16.6%
0 597
12.4%
7 565
11.8%
4 399
 
8.3%
6 275
 
5.7%
1 240
 
5.0%
2 198
 
4.1%
3 193
 
4.0%
8 188
 
3.9%
Other values (2) 195
 
4.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2023-08-02 00:00:00
Maximum2023-08-02 00:00:00
2023-12-11T09:38:55.136132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:38:55.214948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:38:51.802433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:38:55.275196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교구분
연번1.0000.658
종교구분0.6581.000
2023-12-11T09:38:55.364798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교구분
연번1.0000.420
종교구분0.4201.000

Missing values

2023-12-11T09:38:51.902196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:38:51.994135image/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.
2023-12-11T09:38:52.067755image/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

연번종교구분종교시설명도로명주소지번주소전화번호데이터기준일자
01기독교갈곡교회경상남도 진주시 문산읍 갈곡길 16번길 7경상남도 진주시 문산읍 갈곡리 1084055-759-50042023-08-02
12기독교문산감리교회경상남도 진주시 문산읍 월아산로 1052번길 6경상남도 진주시 문산읍 삼곡리 1209-6055-761-43492023-08-02
23기독교문산교회경상남도 진주시 문산읍 월아산로 1117번길 15-26경상남도 진주시 문산읍 소문리 687055-761-63522023-08-02
34기독교사랑의 엘림교회경상남도 진주시 문산읍 동부로 730-21경상남도 진주시 문산읍 상문리 963055-762-50042023-08-02
45기독교상문교회경상남도 진주시 문산읍 문산로 890경상남도 진주시 문산읍 상문리 159-5055-758-48022023-08-02
56기독교어수교회경상남도 진주시 문산읍 월아산로 832번길 27-3경상남도 진주시 문산읍 이곡리 1050055-761-43752023-08-02
67기독교옥산교회경상남도 진주시 문산읍 문정로 592번길 16-7경상남도 진주시 문산읍 옥산리 307055-761-54752023-08-02
78기독교이곡교회경상남도 진주시 문산읍 이곡길 118번길 16-5경상남도 진주시 문산읍 이곡리 174-7055-761-43982023-08-02
89기독교제곡교회경상남도 진주시 문산읍 제곡길 143경상남도 진주시 문산읍 삼곡리 96055-761-51432023-08-02
910기독교진양교회경상남도 진주시 문산읍 소문길 43번길 9-5경상남도 진주시 소문리 148-31055-761-69482023-08-02
연번종교구분종교시설명도로명주소지번주소전화번호데이터기준일자
506507불교마하사경상남도 진주시 진양호로143번길 33(평거동)경상남도 진주시 평거동 380-5055-747-22682023-08-02
507508불교보경사경상남도 진주시 판문로 70-5(판문동)경상남도 진주시 판문동 178055-746-48002023-08-02
508509불교염불선사경상남도 진주시 판문로 64-12(판문동)경상남도 진주시 판문동 182-12055-748-77192023-08-02
509510불교용화사경상남도 진주시 진양호로143번길 15(평거동)경상남도 진주시 평거동 391-1055-746-45152023-08-02
510511원불교원불교서진주교당경상남도 진주시 진양호로97번길 13-26(평거동)경상남도 진주시 평거동 739-4055-745-49202023-08-02
511512불교관음선원경상남도 진주시 동부로 169번길 12(충무공동, 윙스타워 B동 16층)<NA>055-755-33222023-08-02
512513불교안심사경상남도 진주시 사들로34번길 14-22<NA><NA>2023-08-02
513514불교미륵암경상남도 진주시 개양로 170-90(가좌동)<NA>055-759-82432023-08-02
514515불교용호정사경상남도 진주시 동부로169번길 35 (호탄동)<NA>055-755-89622023-08-02
515516불교화성사경상남도 진주시 동부로 250-20 (가좌동)<NA>055-763-01082023-08-02