Overview

Dataset statistics

Number of variables4
Number of observations144
Missing cells11
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory32.9 B

Variable types

Categorical1
Text3

Dataset

Description보성군 종교시설 현황에 관련된 데이터로 종교시설명, 연락처 등의 항목을 제공하는 보성군 종교시설 파일데이터입니다.
Author전라남도 보성군
URLhttps://www.data.go.kr/data/15064792/fileData.do

Alerts

연락처 has 11 (7.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:43:06.948036
Analysis finished2023-12-12 11:43:07.553404
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
기독교
103 
불교
28 
기타
 
9
천주교
 
4

Length

Max length3
Median length3
Mean length2.7430556
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 103
71.5%
불교 28
 
19.4%
기타 9
 
6.2%
천주교 4
 
2.8%

Length

2023-12-12T20:43:07.679683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:43:07.909745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 103
71.5%
불교 28
 
19.4%
기타 9
 
6.2%
천주교 4
 
2.8%

시설명
Text

Distinct142
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T20:43:08.255951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length5.1875
Min length3

Characters and Unicode

Total characters747
Distinct characters155
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

Unique140 ?
Unique (%)97.2%

Sample

1st row강산중앙교회
2nd row대한예수교침례회보성교회
3rd row기쁜소식보성교회
4th row보성남부교회
5th row보성동부교회
ValueCountFrequency (%)
청룡사 2
 
1.4%
보성사 2
 
1.4%
재)국제도덕협회 1
 
0.7%
보성정원교회 1
 
0.7%
강산중앙교회 1
 
0.7%
성천교회 1
 
0.7%
예당중앙교회 1
 
0.7%
오봉교회 1
 
0.7%
객산교회 1
 
0.7%
군농교회 1
 
0.7%
Other values (134) 134
91.8%
2023-12-12T20:43:08.932039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 123
 
16.5%
회 113
 
15.1%
성 31
 
4.1%
사 25
 
3.3%
보 21
 
2.8%
천 14
 
1.9%
일 14
 
1.9%
동 13
 
1.7%
정 10
 
1.3%
제 10
 
1.3%
Other values (145) 373
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 735
98.4%
Close Punctuation 5
 
0.7%
Open Punctuation 5
 
0.7%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 123
 
16.7%
회 113
 
15.4%
성 31
 
4.2%
사 25
 
3.4%
보 21
 
2.9%
천 14
 
1.9%
일 14
 
1.9%
동 13
 
1.8%
정 10
 
1.4%
제 10
 
1.4%
Other values (142) 361
49.1%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 735
98.4%
Common 12
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 123
 
16.7%
회 113
 
15.4%
성 31
 
4.2%
사 25
 
3.4%
보 21
 
2.9%
천 14
 
1.9%
일 14
 
1.9%
동 13
 
1.8%
정 10
 
1.4%
제 10
 
1.4%
Other values (142) 361
49.1%
Common
ValueCountFrequency (%)
) 5
41.7%
( 5
41.7%
2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 735
98.4%
ASCII 12
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 123
 
16.7%
회 113
 
15.4%
성 31
 
4.2%
사 25
 
3.4%
보 21
 
2.9%
천 14
 
1.9%
일 14
 
1.9%
동 13
 
1.8%
정 10
 
1.4%
제 10
 
1.4%
Other values (142) 361
49.1%
ASCII
ValueCountFrequency (%)
) 5
41.7%
( 5
41.7%
2
 
16.7%

소재지
Text

Distinct143
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T20:43:09.472339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.388889
Min length18

Characters and Unicode

Total characters3080
Distinct characters145
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

Unique142 ?
Unique (%)98.6%

Sample

1st row전라남도 보성군 보성읍 강산 1길 7
2nd row전라남도 보성군 보성읍 송재로 39
3rd row전라남도 보성군 보성읍 녹차로 1387-3
4th row전라남도 보성군 보성읍 우산길 11
5th row전라남도 보성군 보성읍 보성덕정길 54-7
ValueCountFrequency (%)
전라남도 144
20.0%
보성군 144
20.0%
벌교읍 35
 
4.9%
보성읍 34
 
4.7%
득량면 16
 
2.2%
조성면 13
 
1.8%
회천면 9
 
1.2%
노동면 8
 
1.1%
복내면 8
 
1.1%
송재로 7
 
1.0%
Other values (246) 302
41.9%
2023-12-12T20:43:10.289214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
576
18.7%
성 199
 
6.5%
보 182
 
5.9%
전 148
 
4.8%
남 147
 
4.8%
도 147
 
4.8%
군 145
 
4.7%
라 144
 
4.7%
1 112
 
3.6%
길 100
 
3.2%
Other values (135) 1180
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1936
62.9%
Space Separator 576
 
18.7%
Decimal Number 481
 
15.6%
Dash Punctuation 83
 
2.7%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 199
 
10.3%
보 182
 
9.4%
전 148
 
7.6%
남 147
 
7.6%
도 147
 
7.6%
군 145
 
7.5%
라 144
 
7.4%
길 100
 
5.2%
면 75
 
3.9%
읍 70
 
3.6%
Other values (121) 579
29.9%
Decimal Number
ValueCountFrequency (%)
1 112
23.3%
2 68
14.1%
3 47
9.8%
5 45
9.4%
7 42
 
8.7%
6 38
 
7.9%
4 37
 
7.7%
9 36
 
7.5%
8 35
 
7.3%
0 21
 
4.4%
Space Separator
ValueCountFrequency (%)
576
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1936
62.9%
Common 1144
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 199
 
10.3%
보 182
 
9.4%
전 148
 
7.6%
남 147
 
7.6%
도 147
 
7.6%
군 145
 
7.5%
라 144
 
7.4%
길 100
 
5.2%
면 75
 
3.9%
읍 70
 
3.6%
Other values (121) 579
29.9%
Common
ValueCountFrequency (%)
576
50.3%
1 112
 
9.8%
- 83
 
7.3%
2 68
 
5.9%
3 47
 
4.1%
5 45
 
3.9%
7 42
 
3.7%
6 38
 
3.3%
4 37
 
3.2%
9 36
 
3.1%
Other values (4) 60
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1936
62.9%
ASCII 1144
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
576
50.3%
1 112
 
9.8%
- 83
 
7.3%
2 68
 
5.9%
3 47
 
4.1%
5 45
 
3.9%
7 42
 
3.7%
6 38
 
3.3%
4 37
 
3.2%
9 36
 
3.1%
Other values (4) 60
 
5.2%
Hangul
ValueCountFrequency (%)
성 199
 
10.3%
보 182
 
9.4%
전 148
 
7.6%
남 147
 
7.6%
도 147
 
7.6%
군 145
 
7.5%
라 144
 
7.4%
길 100
 
5.2%
면 75
 
3.9%
읍 70
 
3.6%
Other values (121) 579
29.9%

연락처
Text

MISSING 

Distinct132
Distinct (%)99.2%
Missing11
Missing (%)7.6%
Memory size1.3 KiB
2023-12-12T20:43:10.636865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.022556
Min length12

Characters and Unicode

Total characters1599
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

Unique131 ?
Unique (%)98.5%

Sample

1st row061-852-1686
2nd row070-7121-5867
3rd row061-852-1150
4th row061-852-2390
5th row061-852-0811
ValueCountFrequency (%)
061-853-7315 2
 
1.5%
061-853-6746 1
 
0.8%
061-852-1686 1
 
0.8%
061-852-8441 1
 
0.8%
061-853-3994 1
 
0.8%
061-852-8404 1
 
0.8%
070-7737-8893 1
 
0.8%
061-852-9101 1
 
0.8%
061-852-1472 1
 
0.8%
061-852-8041 1
 
0.8%
Other values (122) 122
91.7%
2023-12-12T20:43:11.304651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 266
16.6%
0 217
13.6%
1 191
11.9%
6 184
11.5%
8 183
11.4%
5 176
11.0%
2 105
 
6.6%
7 87
 
5.4%
3 83
 
5.2%
4 63
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1333
83.4%
Dash Punctuation 266
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
16.3%
1 191
14.3%
6 184
13.8%
8 183
13.7%
5 176
13.2%
2 105
7.9%
7 87
6.5%
3 83
 
6.2%
4 63
 
4.7%
9 44
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1599
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 266
16.6%
0 217
13.6%
1 191
11.9%
6 184
11.5%
8 183
11.4%
5 176
11.0%
2 105
 
6.6%
7 87
 
5.4%
3 83
 
5.2%
4 63
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1599
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 266
16.6%
0 217
13.6%
1 191
11.9%
6 184
11.5%
8 183
11.4%
5 176
11.0%
2 105
 
6.6%
7 87
 
5.4%
3 83
 
5.2%
4 63
 
3.9%

Missing values

2023-12-12T20:43:07.342702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:43:07.489231image/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

구분시설명소재지연락처
0기독교강산중앙교회전라남도 보성군 보성읍 강산 1길 7061-852-1686
1기독교대한예수교침례회보성교회전라남도 보성군 보성읍 송재로 39070-7121-5867
2기독교기쁜소식보성교회전라남도 보성군 보성읍 녹차로 1387-3061-852-1150
3기독교보성남부교회전라남도 보성군 보성읍 우산길 11061-852-2390
4기독교보성동부교회전라남도 보성군 보성읍 보성덕정길 54-7061-852-0811
5기독교보성복된교회전라남도 보성군 보성읍 송재로 114-1061-853-0691
6기독교보성사랑의교회전라남도 보성군 보성읍 쾌상길 142061-853-3177
7기독교보성서부교회전라남도 보성군 보성읍 관동길 51-1061-852-2302
8기독교보성읍교회전라남도 보성군 보성읍 동인길 11061-852-1004
9기독교보성읍안식일교회전라남도 보성군 보성읍 새싹길 66061-852-0722
구분시설명소재지연락처
134불교청룡사전라남도 보성군 조성면 은곡리 671061-858-4005
135불교학사랑절전라남도 보성군 조성면 조성로 247-38061-857-9587
136불교득량원불교전라남도 보성군 득량면 유왕길 25061-853-8366
137불교영생사전라남도 보성군 득량면 강골길 84-15061-853-8371
138불교오봉사전라남도 보성군 득량면 작천길 32-48061-853-7034
139불교일림사전라남도 보성군 회천면 일림산길 239-49<NA>
140천주교천주교보성성당전라남도 보성군 보성읍 현충로 136061-852-1767
141천주교천주교벌교성당전라남도 보성군 벌교읍 채동선로 359061-858-1004
142천주교조성성당전라남도 보성군 조성면 석부길 51-33061-858-0006
143천주교천주교회천공소전라남도 보성군 회천면 남부관광로 2293-17061-852-2070