Overview

Dataset statistics

Number of variables3
Number of observations139
Missing cells2
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory24.9 B

Variable types

Text3

Dataset

Description전라북도 임실군의 종교단체 현황으로 종교단체 명칭(교회, 성당, 사찰), 도로명주소, 전화번호가 포함된 정보입니다.
URLhttps://www.data.go.kr/data/15036949/fileData.do

Alerts

전화번호 has 2 (1.4%) missing valuesMissing
종교단체명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:07:56.892127
Analysis finished2023-12-12 06:07:57.163926
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종교단체명칭
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:07:57.359604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length9.0143885
Min length7

Characters and Unicode

Total characters1253
Distinct characters154
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)100.0%

Sample

1st row(교회)제일교회
2nd row(교회)성가교회
3rd row(교회)임실교회
4th row(교회)임실순복음교회
5th row(교회)신안교회
ValueCountFrequency (%)
교회)제일교회 1
 
0.7%
사찰)원불교(금평교당 1
 
0.7%
사찰)원불교(임실교당 1
 
0.7%
성당)오수성당 1
 
0.7%
성당)임실성당 1
 
0.7%
교회)청웅훈독가정교회 1
 
0.7%
교회)임실가정교회 1
 
0.7%
교회)주안교회(폐쇄 1
 
0.7%
교회)영천교회 1
 
0.7%
교회)천담리교회 1
 
0.7%
Other values (130) 130
92.9%
2023-12-12T15:07:57.843295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 208
16.6%
회 201
16.0%
( 150
 
12.0%
) 150
 
12.0%
사 63
 
5.0%
찰 37
 
3.0%
암 17
 
1.4%
성 16
 
1.3%
수 14
 
1.1%
실 12
 
1.0%
Other values (144) 385
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 951
75.9%
Open Punctuation 150
 
12.0%
Close Punctuation 150
 
12.0%
Decimal Number 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 208
21.9%
회 201
21.1%
사 63
 
6.6%
찰 37
 
3.9%
암 17
 
1.8%
성 16
 
1.7%
수 14
 
1.5%
실 12
 
1.3%
임 12
 
1.3%
신 9
 
0.9%
Other values (140) 362
38.1%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 951
75.9%
Common 302
 
24.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 208
21.9%
회 201
21.1%
사 63
 
6.6%
찰 37
 
3.9%
암 17
 
1.8%
성 16
 
1.7%
수 14
 
1.5%
실 12
 
1.3%
임 12
 
1.3%
신 9
 
0.9%
Other values (140) 362
38.1%
Common
ValueCountFrequency (%)
( 150
49.7%
) 150
49.7%
1 1
 
0.3%
1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 951
75.9%
ASCII 302
 
24.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 208
21.9%
회 201
21.1%
사 63
 
6.6%
찰 37
 
3.9%
암 17
 
1.8%
성 16
 
1.7%
수 14
 
1.5%
실 12
 
1.3%
임 12
 
1.3%
신 9
 
0.9%
Other values (140) 362
38.1%
ASCII
ValueCountFrequency (%)
( 150
49.7%
) 150
49.7%
1 1
 
0.3%
1
 
0.3%

도로명주소
Text

Distinct138
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:07:58.287369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length21.388489
Min length17

Characters and Unicode

Total characters2973
Distinct characters111
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

Unique137 ?
Unique (%)98.6%

Sample

1st row전라북도 임실군 임실읍 갈마2길 6-32
2nd row전라북도 임실군 임실읍 두곡1길 32
3rd row전라북도 임실군 임실읍 봉황11길 26-2
4th row전라북도 임실군 임실읍 봉황8길 28
5th row전라북도 임실군 임실읍 신안3길 64-2
ValueCountFrequency (%)
전라북도 139
20.0%
임실군 139
20.0%
임실읍 26
 
3.7%
오수면 17
 
2.4%
관촌면 15
 
2.2%
삼계면 11
 
1.6%
지사면 11
 
1.6%
신평면 11
 
1.6%
덕치면 10
 
1.4%
신덕면 10
 
1.4%
Other values (248) 307
44.1%
2023-12-12T15:07:58.898007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
558
18.8%
임 171
 
5.8%
실 165
 
5.5%
전 142
 
4.8%
도 140
 
4.7%
1 140
 
4.7%
북 139
 
4.7%
군 139
 
4.7%
라 139
 
4.7%
면 113
 
3.8%
Other values (101) 1127
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1819
61.2%
Space Separator 558
 
18.8%
Decimal Number 514
 
17.3%
Dash Punctuation 82
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 171
 
9.4%
실 165
 
9.1%
전 142
 
7.8%
도 140
 
7.7%
북 139
 
7.6%
군 139
 
7.6%
라 139
 
7.6%
면 113
 
6.2%
길 84
 
4.6%
로 51
 
2.8%
Other values (89) 536
29.5%
Decimal Number
ValueCountFrequency (%)
1 140
27.2%
2 71
13.8%
3 67
13.0%
4 47
 
9.1%
8 38
 
7.4%
9 36
 
7.0%
6 32
 
6.2%
5 30
 
5.8%
7 30
 
5.8%
0 23
 
4.5%
Space Separator
ValueCountFrequency (%)
558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1819
61.2%
Common 1154
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 171
 
9.4%
실 165
 
9.1%
전 142
 
7.8%
도 140
 
7.7%
북 139
 
7.6%
군 139
 
7.6%
라 139
 
7.6%
면 113
 
6.2%
길 84
 
4.6%
로 51
 
2.8%
Other values (89) 536
29.5%
Common
ValueCountFrequency (%)
558
48.4%
1 140
 
12.1%
- 82
 
7.1%
2 71
 
6.2%
3 67
 
5.8%
4 47
 
4.1%
8 38
 
3.3%
9 36
 
3.1%
6 32
 
2.8%
5 30
 
2.6%
Other values (2) 53
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1819
61.2%
ASCII 1154
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
558
48.4%
1 140
 
12.1%
- 82
 
7.1%
2 71
 
6.2%
3 67
 
5.8%
4 47
 
4.1%
8 38
 
3.3%
9 36
 
3.1%
6 32
 
2.8%
5 30
 
2.6%
Other values (2) 53
 
4.6%
Hangul
ValueCountFrequency (%)
임 171
 
9.4%
실 165
 
9.1%
전 142
 
7.8%
도 140
 
7.7%
북 139
 
7.6%
군 139
 
7.6%
라 139
 
7.6%
면 113
 
6.2%
길 84
 
4.6%
로 51
 
2.8%
Other values (89) 536
29.5%

전화번호
Text

MISSING 

Distinct130
Distinct (%)94.9%
Missing2
Missing (%)1.4%
Memory size1.2 KiB
2023-12-12T15:07:59.250186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.722628
Min length7

Characters and Unicode

Total characters1606
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

Unique129 ?
Unique (%)94.2%

Sample

1st row063-642-2509
2nd row063-644-0095
3rd row063-642-2161
4th row063-644-0091
5th row063-643-3017
ValueCountFrequency (%)
데이터 8
 
5.5%
미집계 8
 
5.5%
063-642-2441 1
 
0.7%
063-642-1802 1
 
0.7%
063-643-1482 1
 
0.7%
063-644-8813 1
 
0.7%
063-643-5036 1
 
0.7%
063-642-3758 1
 
0.7%
063-642-4350 1
 
0.7%
063-642-3305 1
 
0.7%
Other values (121) 121
83.4%
2023-12-12T15:07:59.748256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 298
18.6%
- 258
16.1%
3 223
13.9%
0 200
12.5%
4 198
12.3%
2 118
 
7.3%
1 81
 
5.0%
9 54
 
3.4%
7 49
 
3.1%
5 35
 
2.2%
Other values (8) 92
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1291
80.4%
Dash Punctuation 258
 
16.1%
Other Letter 48
 
3.0%
Space Separator 9
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 298
23.1%
3 223
17.3%
0 200
15.5%
4 198
15.3%
2 118
 
9.1%
1 81
 
6.3%
9 54
 
4.2%
7 49
 
3.8%
5 35
 
2.7%
8 35
 
2.7%
Other Letter
ValueCountFrequency (%)
이 8
16.7%
계 8
16.7%
집 8
16.7%
미 8
16.7%
터 8
16.7%
데 8
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1558
97.0%
Hangul 48
 
3.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 298
19.1%
- 258
16.6%
3 223
14.3%
0 200
12.8%
4 198
12.7%
2 118
 
7.6%
1 81
 
5.2%
9 54
 
3.5%
7 49
 
3.1%
5 35
 
2.2%
Other values (2) 44
 
2.8%
Hangul
ValueCountFrequency (%)
이 8
16.7%
계 8
16.7%
집 8
16.7%
미 8
16.7%
터 8
16.7%
데 8
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1558
97.0%
Hangul 48
 
3.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 298
19.1%
- 258
16.6%
3 223
14.3%
0 200
12.8%
4 198
12.7%
2 118
 
7.6%
1 81
 
5.2%
9 54
 
3.5%
7 49
 
3.1%
5 35
 
2.2%
Other values (2) 44
 
2.8%
Hangul
ValueCountFrequency (%)
이 8
16.7%
계 8
16.7%
집 8
16.7%
미 8
16.7%
터 8
16.7%
데 8
16.7%

Missing values

2023-12-12T15:07:57.070363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:07:57.136739image/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

종교단체명칭도로명주소전화번호
0(교회)제일교회전라북도 임실군 임실읍 갈마2길 6-32063-642-2509
1(교회)성가교회전라북도 임실군 임실읍 두곡1길 32063-644-0095
2(교회)임실교회전라북도 임실군 임실읍 봉황11길 26-2063-642-2161
3(교회)임실순복음교회전라북도 임실군 임실읍 봉황8길 28063-644-0091
4(교회)신안교회전라북도 임실군 임실읍 신안3길 64-2063-643-3017
5(교회)임실은혜전라북도 임실군 임실읍 운수로 33-18063-643-9001
6(교회)반석교회전라북도 임실군 임실읍 운수로 38063-643-3679
7(교회)정월순복음교회전라북도 임실군 임실읍 임삼로 1498-3063-643-4733
8(교회)신인교회전라북도 임실군 임실읍 임삼로 947-7063-644-4021
9(교회)사랑의교회전라북도 임실군 임실읍 임운로 9063-642-1249
종교단체명칭도로명주소전화번호
129(사찰)망전암전라북도 임실군 임실읍 망전1길 134-74063-644-4984
130(사찰)불국정사전라북도 임실군 임실읍 봉황3길 4063-644-7523
131(사찰)운수사전라북도 임실군 임실읍 봉황10길 109063-642-2405
132(사찰)극락사전라북도 임실군 임실읍 오정리 산1063-642-2463
133(사찰)안도암전라북도 임실군 임실읍 이도리 산45-1063-642-2633
134(사찰)건봉사전라북도 임실군 임실읍 정월2길 3데이터 미집계
135(사찰)죽림암전라북도 임실군 임실읍 호반로 79-53063-642-3270
136(사찰)덕수사전라북도 임실군 지사면 안하리 산 13063-642-1802
137(사찰)모원사전라북도 임실군 청웅면 구고8길 93데이터 미집계
138(사찰)수용사전라북도 임실군 청웅면 구고길 47063-643-8049