Overview

Dataset statistics

Number of variables6
Number of observations99
Missing cells7
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory49.3 B

Variable types

Categorical3
Text3

Dataset

Description전라남도 구례군에서 운영중인 종교시설현황으로 시설명, 종단/교단, 소재지, 연락처 등을 제공합니다. 코로나19 예방점검에 따른 수집데이터로 실제 현황과 다를 수 있습니다.
URLhttps://www.data.go.kr/data/15065028/fileData.do

Alerts

데이터기준일 has constant value ""Constant
구분 is highly overall correlated with 종단High correlation
종단 is highly overall correlated with 구분High correlation
연락처 has 7 (7.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:39:59.366769
Analysis finished2023-12-12 11:40:01.080809
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
기독교
55 
불교
36 
기타
 
3
기도원
 
2
천주교
 
2

Length

Max length3
Median length3
Mean length2.6060606
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 55
55.6%
불교 36
36.4%
기타 3
 
3.0%
기도원 2
 
2.0%
천주교 2
 
2.0%
원불교 1
 
1.0%

Length

2023-12-12T20:40:01.216558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:40:01.427735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 55
55.6%
불교 36
36.4%
기타 3
 
3.0%
기도원 2
 
2.0%
천주교 2
 
2.0%
원불교 1
 
1.0%

종단
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
대한예수교 장로회
49 
조계종
32 
<NA>
7 
통일교
 
1
대한 감리회
 
1
Other values (9)
9 

Length

Max length12
Median length9
Mean length6.3737374
Min length3

Unique

Unique11 ?
Unique (%)11.1%

Sample

1st row<NA>
2nd row<NA>
3rd row대한예수교 장로회
4th row대한예수교 장로회
5th row통일교

Common Values

ValueCountFrequency (%)
대한예수교 장로회 49
49.5%
조계종 32
32.3%
<NA> 7
 
7.1%
통일교 1
 
1.0%
대한 감리회 1
 
1.0%
대한하나님의성회 1
 
1.0%
제칠일안식일예수재림교회 1
 
1.0%
대한예수교 침례회 1
 
1.0%
대한기독교 침례회 1
 
1.0%
여호와의 증인 1
 
1.0%
Other values (4) 4
 
4.0%

Length

2023-12-12T20:40:01.672850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한예수교 50
32.9%
장로회 49
32.2%
조계종 32
21.1%
na 7
 
4.6%
침례회 2
 
1.3%
여호와의 1
 
0.7%
법화종 1
 
0.7%
태고종 1
 
0.7%
법상종 1
 
0.7%
증인 1
 
0.7%
Other values (7) 7
 
4.6%

시설명
Text

Distinct98
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-12T20:40:02.043670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length4.6666667
Min length2

Characters and Unicode

Total characters462
Distinct characters122
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

Unique97 ?
Unique (%)98.0%

Sample

1st row평화산기도원
2nd row용천암
3rd row오봉교회
4th row구례제일교회
5th row구례가정교회
ValueCountFrequency (%)
국제도덕협회 2
 
2.0%
영봉사 1
 
1.0%
불락사 1
 
1.0%
보현사 1
 
1.0%
문수사 1
 
1.0%
죽림사 1
 
1.0%
용운암 1
 
1.0%
약천사 1
 
1.0%
사성암 1
 
1.0%
세심사 1
 
1.0%
Other values (90) 90
89.1%
2023-12-12T20:40:02.679807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 59
 
12.8%
교 58
 
12.6%
사 20
 
4.3%
암 20
 
4.3%
례 19
 
4.1%
구 18
 
3.9%
산 11
 
2.4%
제 9
 
1.9%
일 8
 
1.7%
도 7
 
1.5%
Other values (112) 233
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
99.4%
Space Separator 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 59
 
12.9%
교 58
 
12.6%
사 20
 
4.4%
암 20
 
4.4%
례 19
 
4.1%
구 18
 
3.9%
산 11
 
2.4%
제 9
 
2.0%
일 8
 
1.7%
도 7
 
1.5%
Other values (111) 230
50.1%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
99.4%
Common 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 59
 
12.9%
교 58
 
12.6%
사 20
 
4.4%
암 20
 
4.4%
례 19
 
4.1%
구 18
 
3.9%
산 11
 
2.4%
제 9
 
2.0%
일 8
 
1.7%
도 7
 
1.5%
Other values (111) 230
50.1%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
99.4%
ASCII 3
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 59
 
12.9%
교 58
 
12.6%
사 20
 
4.4%
암 20
 
4.4%
례 19
 
4.1%
구 18
 
3.9%
산 11
 
2.4%
제 9
 
2.0%
일 8
 
1.7%
도 7
 
1.5%
Other values (111) 230
50.1%
ASCII
ValueCountFrequency (%)
3
100.0%

소재지
Text

Distinct87
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-12T20:40:03.165895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length20.666667
Min length16

Characters and Unicode

Total characters2046
Distinct characters105
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

Unique84 ?
Unique (%)84.8%

Sample

1st row전라남도 구례군 구례읍 섬진강로 286-59
2nd row전라남도 구례군 간전면 매재길 2-65
3rd row전라남도 구례군 구례읍 강촌길 21-10
4th row전라남도 구례군 구례읍 구례1길 37
5th row전라남도 구례군 구례읍 구례2길 8
ValueCountFrequency (%)
구례군 101
20.6%
전라남도 99
20.2%
구례읍 32
 
6.5%
마산면 15
 
3.1%
광의면 14
 
2.9%
토지면 11
 
2.2%
산동면 11
 
2.2%
황전리 10
 
2.0%
20-1 7
 
1.4%
방광리 6
 
1.2%
Other values (150) 185
37.7%
2023-12-12T20:40:03.907723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
19.8%
구 139
 
6.8%
례 138
 
6.7%
전 116
 
5.7%
군 101
 
4.9%
남 100
 
4.9%
도 100
 
4.9%
라 99
 
4.8%
1 71
 
3.5%
면 67
 
3.3%
Other values (95) 710
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1317
64.4%
Space Separator 405
 
19.8%
Decimal Number 279
 
13.6%
Dash Punctuation 45
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 139
 
10.6%
례 138
 
10.5%
전 116
 
8.8%
군 101
 
7.7%
남 100
 
7.6%
도 100
 
7.6%
라 99
 
7.5%
면 67
 
5.1%
길 46
 
3.5%
리 43
 
3.3%
Other values (83) 368
27.9%
Decimal Number
ValueCountFrequency (%)
1 71
25.4%
2 48
17.2%
0 29
10.4%
5 25
 
9.0%
6 21
 
7.5%
3 21
 
7.5%
7 21
 
7.5%
4 17
 
6.1%
9 14
 
5.0%
8 12
 
4.3%
Space Separator
ValueCountFrequency (%)
405
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1317
64.4%
Common 729
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 139
 
10.6%
례 138
 
10.5%
전 116
 
8.8%
군 101
 
7.7%
남 100
 
7.6%
도 100
 
7.6%
라 99
 
7.5%
면 67
 
5.1%
길 46
 
3.5%
리 43
 
3.3%
Other values (83) 368
27.9%
Common
ValueCountFrequency (%)
405
55.6%
1 71
 
9.7%
2 48
 
6.6%
- 45
 
6.2%
0 29
 
4.0%
5 25
 
3.4%
6 21
 
2.9%
3 21
 
2.9%
7 21
 
2.9%
4 17
 
2.3%
Other values (2) 26
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1317
64.4%
ASCII 729
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
55.6%
1 71
 
9.7%
2 48
 
6.6%
- 45
 
6.2%
0 29
 
4.0%
5 25
 
3.4%
6 21
 
2.9%
3 21
 
2.9%
7 21
 
2.9%
4 17
 
2.3%
Other values (2) 26
 
3.6%
Hangul
ValueCountFrequency (%)
구 139
 
10.6%
례 138
 
10.5%
전 116
 
8.8%
군 101
 
7.7%
남 100
 
7.6%
도 100
 
7.6%
라 99
 
7.5%
면 67
 
5.1%
길 46
 
3.5%
리 43
 
3.3%
Other values (83) 368
27.9%

연락처
Text

MISSING 

Distinct91
Distinct (%)98.9%
Missing7
Missing (%)7.1%
Memory size924.0 B
2023-12-12T20:40:04.319938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1104
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

Unique90 ?
Unique (%)97.8%

Sample

1st row061-782-1175
2nd row061-782-7174
3rd row061-782-2091
4th row061-782-2766
5th row061-782-9462
ValueCountFrequency (%)
061-781-4800 2
 
2.2%
061-781-1647 1
 
1.1%
061-782-5132 1
 
1.1%
061-781-2474 1
 
1.1%
061-781-2751 1
 
1.1%
061-781-4557 1
 
1.1%
061-781-6328 1
 
1.1%
061-781-5463 1
 
1.1%
061-782-0190 1
 
1.1%
061-783-2300 1
 
1.1%
Other values (81) 81
88.0%
2023-12-12T20:40:05.010607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 184
16.7%
1 162
14.7%
0 145
13.1%
7 138
12.5%
6 118
10.7%
8 115
10.4%
2 84
7.6%
3 51
 
4.6%
4 41
 
3.7%
5 37
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 920
83.3%
Dash Punctuation 184
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 162
17.6%
0 145
15.8%
7 138
15.0%
6 118
12.8%
8 115
12.5%
2 84
9.1%
3 51
 
5.5%
4 41
 
4.5%
5 37
 
4.0%
9 29
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 184
16.7%
1 162
14.7%
0 145
13.1%
7 138
12.5%
6 118
10.7%
8 115
10.4%
2 84
7.6%
3 51
 
4.6%
4 41
 
3.7%
5 37
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 184
16.7%
1 162
14.7%
0 145
13.1%
7 138
12.5%
6 118
10.7%
8 115
10.4%
2 84
7.6%
3 51
 
4.6%
4 41
 
3.7%
5 37
 
3.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-07-27
99 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-27
2nd row2023-07-27
3rd row2023-07-27
4th row2023-07-27
5th row2023-07-27

Common Values

ValueCountFrequency (%)
2023-07-27 99
100.0%

Length

2023-12-12T20:40:05.292935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:40:05.466677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-27 99
100.0%

Correlations

2023-12-12T20:40:05.576753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종단시설명소재지연락처
구분1.0001.0001.0001.0001.000
종단1.0001.0001.0001.0001.000
시설명1.0001.0001.0000.9960.999
소재지1.0001.0000.9961.0001.000
연락처1.0001.0000.9991.0001.000
2023-12-12T20:40:05.764132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종단
구분1.0000.942
종단0.9421.000
2023-12-12T20:40:05.925171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종단
구분1.0000.942
종단0.9421.000

Missing values

2023-12-12T20:40:00.807799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:40:00.999308image/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

구분종단시설명소재지연락처데이터기준일
0기도원<NA>평화산기도원전라남도 구례군 구례읍 섬진강로 286-59061-782-11752023-07-27
1기도원<NA>용천암전라남도 구례군 간전면 매재길 2-65<NA>2023-07-27
2기독교대한예수교 장로회오봉교회전라남도 구례군 구례읍 강촌길 21-10061-782-71742023-07-27
3기독교대한예수교 장로회구례제일교회전라남도 구례군 구례읍 구례1길 37061-782-20912023-07-27
4기독교통일교구례가정교회전라남도 구례군 구례읍 구례2길 8061-782-27662023-07-27
5기독교대한 감리회구례감리교회전라남도 구례군 구례읍 구례2길 93061-782-94622023-07-27
6기독교대한예수교 장로회늘푸른교회전라남도 구례군 구례읍 구례로 246061-782-81512023-07-27
7기독교대한예수교 장로회구례실로암교회전라남도 구례군 구례읍 구례로 517-6061-783-33772023-07-27
8기독교대한예수교 장로회구례섬진강교회전라남도 구례군 구례읍 독자길 1061-782-62062023-07-27
9기독교대한예수교 장로회구례남부교회전라남도 구례군 구례읍 동산2길 34-1061-782-35822023-07-27
구분종단시설명소재지연락처데이터기준일
89불교조계종상선암전라남도 구례군 광의면 방광리 70061-781-48002023-07-27
90불교조계종수도암전라남도 구례군 광의면 방광리 70061-781-50602023-07-27
91불교조계종우번암전라남도 구례군 광의면 방광리 70061-782-05972023-07-27
92불교조계종천은사전라남도 구례군 광의면 방광리 70061-781-48002023-07-27
93불교조계종황토정사전라남도 구례군 광의면 수월리 175<NA>2023-07-27
94불교조계종죽림정사전라남도 구례군 용방면 죽정리 841061-782-12252023-07-27
95불교조계종삼정사전라남도 구례군 산동면 둔사리061-782-35832023-07-27
96원불교<NA>원불교전라남도 구례군 구례읍 학교길104061-782-84472023-07-27
97천주교<NA>구례성당전라남도 구례군 구례읍 학교길 99061-782-23142023-07-27
98천주교<NA>산동성당전라남도 구례군 산동면 지리산온천로 150-6061-783-80042023-07-27