Overview

Dataset statistics

Number of variables4
Number of observations168
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory32.8 B

Variable types

Categorical1
Text3

Dataset

Description전라남도 영암군 종교시설현황을 제공하는 데이터로 종교시설구분(기독교, 불교 , 원불교, 천주교), 주소, 연락처 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15118006/fileData.do

Reproduction

Analysis started2023-12-12 17:17:27.467914
Analysis finished2023-12-12 17:17:27.801337
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종교구분
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
기독교
127 
불교
30 
천주교
 
10
원불교
 
1

Length

Max length3
Median length3
Mean length2.8214286
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 127
75.6%
불교 30
 
17.9%
천주교 10
 
6.0%
원불교 1
 
0.6%

Length

2023-12-13T02:17:27.864406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:17:27.977314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 127
75.6%
불교 30
 
17.9%
천주교 10
 
6.0%
원불교 1
 
0.6%

시설명
Text

Distinct167
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T02:17:28.231445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.1607143
Min length3

Characters and Unicode

Total characters1203
Distinct characters166
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

Unique166 ?
Unique (%)98.8%

Sample

1st row영암그리스도교회
2nd row기쁜소식영암교회
3rd row보배교회
4th row영암성산교회
5th row성심교회
ValueCountFrequency (%)
대한예수교장로회 12
 
5.7%
교회 4
 
1.9%
기독교대한성결교회 3
 
1.4%
대한예수교 3
 
1.4%
한빛교회 2
 
0.9%
한국기독교장로회 2
 
0.9%
대한불교법화종 2
 
0.9%
삼호교회 2
 
0.9%
대한불교 2
 
0.9%
조계종 2
 
0.9%
Other values (175) 178
84.0%
2023-12-13T02:17:28.607447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 180
 
15.0%
회 164
 
13.6%
45
 
3.7%
한 41
 
3.4%
대 41
 
3.4%
암 30
 
2.5%
사 28
 
2.3%
영 28
 
2.3%
수 26
 
2.2%
장 25
 
2.1%
Other values (156) 595
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1140
94.8%
Space Separator 45
 
3.7%
Open Punctuation 9
 
0.7%
Close Punctuation 9
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 180
 
15.8%
회 164
 
14.4%
한 41
 
3.6%
대 41
 
3.6%
암 30
 
2.6%
사 28
 
2.5%
영 28
 
2.5%
수 26
 
2.3%
장 25
 
2.2%
예 22
 
1.9%
Other values (153) 555
48.7%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1140
94.8%
Common 63
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 180
 
15.8%
회 164
 
14.4%
한 41
 
3.6%
대 41
 
3.6%
암 30
 
2.6%
사 28
 
2.5%
영 28
 
2.5%
수 26
 
2.3%
장 25
 
2.2%
예 22
 
1.9%
Other values (153) 555
48.7%
Common
ValueCountFrequency (%)
45
71.4%
( 9
 
14.3%
) 9
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1140
94.8%
ASCII 63
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 180
 
15.8%
회 164
 
14.4%
한 41
 
3.6%
대 41
 
3.6%
암 30
 
2.6%
사 28
 
2.5%
영 28
 
2.5%
수 26
 
2.3%
장 25
 
2.2%
예 22
 
1.9%
Other values (153) 555
48.7%
ASCII
ValueCountFrequency (%)
45
71.4%
( 9
 
14.3%
) 9
 
14.3%

주소
Text

Distinct167
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T02:17:28.904218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length19.345238
Min length15

Characters and Unicode

Total characters3250
Distinct characters157
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

Unique166 ?
Unique (%)98.8%

Sample

1st row전남 영암군 영암읍 송계길 25-6
2nd row전남 영암군 영암읍 낭주로 111
3rd row전남 영암군 영암읍 개신율산길 80-18
4th row전남 영암군 영암읍 춘양남춘동길 68-10
5th row전남 영암군 영암읍 족자동길 18
ValueCountFrequency (%)
전남 168
20.1%
영암군 168
20.1%
삼호읍 42
 
5.0%
영암읍 29
 
3.5%
학산면 17
 
2.0%
신북면 17
 
2.0%
군서면 13
 
1.6%
도포면 11
 
1.3%
시종면 10
 
1.2%
미암면 9
 
1.1%
Other values (282) 352
42.1%
2023-12-13T02:17:29.420905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
675
20.8%
암 212
 
6.5%
영 208
 
6.4%
군 182
 
5.6%
남 177
 
5.4%
전 170
 
5.2%
1 116
 
3.6%
면 97
 
3.0%
2 96
 
3.0%
로 84
 
2.6%
Other values (147) 1233
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1953
60.1%
Space Separator 675
 
20.8%
Decimal Number 540
 
16.6%
Dash Punctuation 82
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
암 212
 
10.9%
영 208
 
10.7%
군 182
 
9.3%
남 177
 
9.1%
전 170
 
8.7%
면 97
 
5.0%
로 84
 
4.3%
읍 71
 
3.6%
길 63
 
3.2%
호 61
 
3.1%
Other values (135) 628
32.2%
Decimal Number
ValueCountFrequency (%)
1 116
21.5%
2 96
17.8%
3 51
9.4%
8 46
 
8.5%
4 45
 
8.3%
0 41
 
7.6%
5 41
 
7.6%
6 35
 
6.5%
7 35
 
6.5%
9 34
 
6.3%
Space Separator
ValueCountFrequency (%)
675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1953
60.1%
Common 1297
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
암 212
 
10.9%
영 208
 
10.7%
군 182
 
9.3%
남 177
 
9.1%
전 170
 
8.7%
면 97
 
5.0%
로 84
 
4.3%
읍 71
 
3.6%
길 63
 
3.2%
호 61
 
3.1%
Other values (135) 628
32.2%
Common
ValueCountFrequency (%)
675
52.0%
1 116
 
8.9%
2 96
 
7.4%
- 82
 
6.3%
3 51
 
3.9%
8 46
 
3.5%
4 45
 
3.5%
0 41
 
3.2%
5 41
 
3.2%
6 35
 
2.7%
Other values (2) 69
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1953
60.1%
ASCII 1297
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
675
52.0%
1 116
 
8.9%
2 96
 
7.4%
- 82
 
6.3%
3 51
 
3.9%
8 46
 
3.5%
4 45
 
3.5%
0 41
 
3.2%
5 41
 
3.2%
6 35
 
2.7%
Other values (2) 69
 
5.3%
Hangul
ValueCountFrequency (%)
암 212
 
10.9%
영 208
 
10.7%
군 182
 
9.3%
남 177
 
9.1%
전 170
 
8.7%
면 97
 
5.0%
로 84
 
4.3%
읍 71
 
3.6%
길 63
 
3.2%
호 61
 
3.1%
Other values (135) 628
32.2%

연락처
Text

Distinct144
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T02:17:29.685196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.279762
Min length7

Characters and Unicode

Total characters1895
Distinct characters18
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

Unique143 ?
Unique (%)85.1%

Sample

1st row061-473-4426
2nd row061-471-9191
3rd row061-473-1032
4th row061-471-2278
5th row061-471-8291
ValueCountFrequency (%)
데이터 25
 
13.0%
미보유 25
 
13.0%
061-473-9584 1
 
0.5%
061-472-4078 1
 
0.5%
061-472-4707 1
 
0.5%
061-471-0315 1
 
0.5%
061-472-4675 1
 
0.5%
061-471-7748 1
 
0.5%
061-473-0444 1
 
0.5%
061-473-7182 1
 
0.5%
Other values (135) 135
69.9%
2023-12-13T02:17:30.145854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 286
15.1%
1 249
13.1%
0 228
12.0%
4 218
11.5%
6 206
10.9%
7 163
8.6%
2 131
6.9%
3 94
 
5.0%
9 58
 
3.1%
8 45
 
2.4%
Other values (8) 217
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1432
75.6%
Dash Punctuation 286
 
15.1%
Other Letter 150
 
7.9%
Space Separator 27
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 249
17.4%
0 228
15.9%
4 218
15.2%
6 206
14.4%
7 163
11.4%
2 131
9.1%
3 94
 
6.6%
9 58
 
4.1%
8 45
 
3.1%
5 40
 
2.8%
Other Letter
ValueCountFrequency (%)
이 25
16.7%
유 25
16.7%
보 25
16.7%
미 25
16.7%
터 25
16.7%
데 25
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1745
92.1%
Hangul 150
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 286
16.4%
1 249
14.3%
0 228
13.1%
4 218
12.5%
6 206
11.8%
7 163
9.3%
2 131
7.5%
3 94
 
5.4%
9 58
 
3.3%
8 45
 
2.6%
Other values (2) 67
 
3.8%
Hangul
ValueCountFrequency (%)
이 25
16.7%
유 25
16.7%
보 25
16.7%
미 25
16.7%
터 25
16.7%
데 25
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1745
92.1%
Hangul 150
 
7.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 286
16.4%
1 249
14.3%
0 228
13.1%
4 218
12.5%
6 206
11.8%
7 163
9.3%
2 131
7.5%
3 94
 
5.4%
9 58
 
3.3%
8 45
 
2.6%
Other values (2) 67
 
3.8%
Hangul
ValueCountFrequency (%)
이 25
16.7%
유 25
16.7%
보 25
16.7%
미 25
16.7%
터 25
16.7%
데 25
16.7%

Missing values

2023-12-13T02:17:27.687908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:17:27.766639image/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

종교구분시설명주소연락처
0기독교영암그리스도교회전남 영암군 영암읍 송계길 25-6061-473-4426
1기독교기쁜소식영암교회전남 영암군 영암읍 낭주로 111061-471-9191
2기독교보배교회전남 영암군 영암읍 개신율산길 80-18061-473-1032
3기독교영암성산교회전남 영암군 영암읍 춘양남춘동길 68-10061-471-2278
4기독교성심교회전남 영암군 영암읍 족자동길 18061-471-8291
5기독교세계기독교통일신령협회 영암교회전남 영암군 영암읍 성밖1길 22061-473-2743
6기독교영암신흥교회전남 영암군 영암읍 송평리 862-11061-473-3793
7기독교대한예수교침례회영암교회전남 영암군 영암읍 녹암대동보길 25061-471-9004
8기독교영암대영교회전남 영암군 영암읍 남풍문길 11061-473-4110
9기독교기독교대한성결교회 영암벧엘교회전남 영암군 영암읍 동문안길 21061-473-0678
종교구분시설명주소연락처
158불교영암사전남 영암군 군서면 월산길 56데이터 미보유
159불교대한불교 조계종 대혜사전남 영암군 학산면 영산로 784061-471-2777
160불교다솔정사전남 영암군 학산면 학계길 136061-471-0047
161불교대원사전남 영암군 학산면 영산로 298-1데이터 미보유
162불교수월사전남 영암군 학산면 신덕길 89데이터 미보유
163불교대한불교법화종 선왕사전남 영암군 미암면 선황로 209-115061-473-9584
164불교대한불교조계종염불암전남 영암군 미암면 갈마달산길 28-74데이터 미보유
165불교약수암전남 영암군 미암면 녹색로 2041061-473-8054
166불교덕수사전남 영암군 미암면 춘동길 64-14데이터 미보유
167원불교원불교영암교당전남 영암군 영암읍 서남리 96-1061-473-2317