Overview

Dataset statistics

Number of variables5
Number of observations97
Missing cells6
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory41.4 B

Variable types

Categorical2
Text3

Dataset

Description전북특별자치도 장수군에 소재하고 있는 종교단체(개신교, 불교, 원불교)현황(지역, 구분, 종교명, 주소, 전화번호)에 대한 정보를 설명하고자 합니다
Author전북특별자치도 장수군
URLhttps://www.data.go.kr/data/15037140/fileData.do

Alerts

전화번호 has 6 (6.2%) missing valuesMissing
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-30 06:56:09.233848
Analysis finished2024-03-30 06:56:11.487591
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

Distinct7
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
장수
25 
산서
16 
장계
16 
번암
14 
천천
12 
Other values (2)
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장수 25
25.8%
산서 16
16.5%
장계 16
16.5%
번암 14
14.4%
천천 12
12.4%
계남 7
 
7.2%
계북 7
 
7.2%

Length

2024-03-30T06:56:11.711465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T06:56:12.138619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장수 25
25.8%
산서 16
16.5%
장계 16
16.5%
번암 14
14.4%
천천 12
12.4%
계남 7
 
7.2%
계북 7
 
7.2%

구분
Categorical

Distinct6
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
개신교
60 
불교
30 
원불교
 
3
천주교
 
2
통일교
 
1

Length

Max length6
Median length3
Mean length2.7216495
Min length2

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
개신교 60
61.9%
불교 30
30.9%
원불교 3
 
3.1%
천주교 2
 
2.1%
통일교 1
 
1.0%
여호와의증인 1
 
1.0%

Length

2024-03-30T06:56:12.622018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T06:56:12.983615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개신교 60
61.9%
불교 30
30.9%
원불교 3
 
3.1%
천주교 2
 
2.1%
통일교 1
 
1.0%
여호와의증인 1
 
1.0%

종교명
Text

Distinct95
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
2024-03-30T06:56:13.734145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.5051546
Min length3

Characters and Unicode

Total characters437
Distinct characters131
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

Unique93 ?
Unique (%)95.9%

Sample

1st row노곡교회
2nd row개정교회
3rd row구락교회
4th row오동교회
5th row장수교회
ValueCountFrequency (%)
장수교회 2
 
1.9%
성당 2
 
1.9%
장안사 2
 
1.9%
삼고교회 1
 
1.0%
극락사 1
 
1.0%
장계교당 1
 
1.0%
성관사 1
 
1.0%
현불사 1
 
1.0%
세심사 1
 
1.0%
선유사 1
 
1.0%
Other values (91) 91
87.5%
2024-03-30T06:56:15.072743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 66
 
15.1%
회 62
 
14.2%
사 24
 
5.5%
장 22
 
5.0%
성 11
 
2.5%
수 10
 
2.3%
계 10
 
2.3%
암 10
 
2.3%
7
 
1.6%
원 5
 
1.1%
Other values (121) 210
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
97.9%
Space Separator 7
 
1.6%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 66
 
15.4%
회 62
 
14.5%
사 24
 
5.6%
장 22
 
5.1%
성 11
 
2.6%
수 10
 
2.3%
계 10
 
2.3%
암 10
 
2.3%
원 5
 
1.2%
당 5
 
1.2%
Other values (118) 203
47.4%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
97.9%
Common 9
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 66
 
15.4%
회 62
 
14.5%
사 24
 
5.6%
장 22
 
5.1%
성 11
 
2.6%
수 10
 
2.3%
계 10
 
2.3%
암 10
 
2.3%
원 5
 
1.2%
당 5
 
1.2%
Other values (118) 203
47.4%
Common
ValueCountFrequency (%)
7
77.8%
( 1
 
11.1%
) 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
97.9%
ASCII 9
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 66
 
15.4%
회 62
 
14.5%
사 24
 
5.6%
장 22
 
5.1%
성 11
 
2.6%
수 10
 
2.3%
계 10
 
2.3%
암 10
 
2.3%
원 5
 
1.2%
당 5
 
1.2%
Other values (118) 203
47.4%
ASCII
ValueCountFrequency (%)
7
77.8%
( 1
 
11.1%
) 1
 
11.1%

주소
Text

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2024-03-30T06:56:15.970703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length24.041237
Min length16

Characters and Unicode

Total characters2332
Distinct characters122
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

Unique97 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 장수군 장수읍 개실길 147
2nd row전북특별자치도 장수군 장수읍 개정농원길 20-45
3rd row전북특별자치도 장수군 장수읍 구락길 48
4th row전북특별자치도 장수군 장수읍 구평길 78-1
5th row전북특별자치도 장수군 장수읍 덕산로 16
ValueCountFrequency (%)
장수군 97
20.1%
전북특별자치도 95
19.7%
장수읍 25
 
5.2%
산서면 16
 
3.3%
장계면 16
 
3.3%
번암면 14
 
2.9%
천천면 12
 
2.5%
계남면 7
 
1.4%
계북면 7
 
1.4%
한들로 5
 
1.0%
Other values (167) 189
39.1%
2024-03-30T06:56:17.491395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
386
 
16.6%
장 157
 
6.7%
수 126
 
5.4%
북 104
 
4.5%
군 97
 
4.2%
자 96
 
4.1%
도 96
 
4.1%
전 95
 
4.1%
치 95
 
4.1%
별 95
 
4.1%
Other values (112) 985
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1571
67.4%
Space Separator 386
 
16.6%
Decimal Number 316
 
13.6%
Dash Punctuation 57
 
2.4%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 157
 
10.0%
수 126
 
8.0%
북 104
 
6.6%
군 97
 
6.2%
자 96
 
6.1%
도 96
 
6.1%
전 95
 
6.0%
치 95
 
6.0%
별 95
 
6.0%
특 95
 
6.0%
Other values (98) 515
32.8%
Decimal Number
ValueCountFrequency (%)
1 79
25.0%
2 48
15.2%
4 35
11.1%
9 26
 
8.2%
6 25
 
7.9%
5 24
 
7.6%
0 23
 
7.3%
8 21
 
6.6%
3 20
 
6.3%
7 15
 
4.7%
Space Separator
ValueCountFrequency (%)
386
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1571
67.4%
Common 761
32.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 157
 
10.0%
수 126
 
8.0%
북 104
 
6.6%
군 97
 
6.2%
자 96
 
6.1%
도 96
 
6.1%
전 95
 
6.0%
치 95
 
6.0%
별 95
 
6.0%
특 95
 
6.0%
Other values (98) 515
32.8%
Common
ValueCountFrequency (%)
386
50.7%
1 79
 
10.4%
- 57
 
7.5%
2 48
 
6.3%
4 35
 
4.6%
9 26
 
3.4%
6 25
 
3.3%
5 24
 
3.2%
0 23
 
3.0%
8 21
 
2.8%
Other values (4) 37
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1571
67.4%
ASCII 761
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
386
50.7%
1 79
 
10.4%
- 57
 
7.5%
2 48
 
6.3%
4 35
 
4.6%
9 26
 
3.4%
6 25
 
3.3%
5 24
 
3.2%
0 23
 
3.0%
8 21
 
2.8%
Other values (4) 37
 
4.9%
Hangul
ValueCountFrequency (%)
장 157
 
10.0%
수 126
 
8.0%
북 104
 
6.6%
군 97
 
6.2%
자 96
 
6.1%
도 96
 
6.1%
전 95
 
6.0%
치 95
 
6.0%
별 95
 
6.0%
특 95
 
6.0%
Other values (98) 515
32.8%

전화번호
Text

MISSING 

Distinct87
Distinct (%)95.6%
Missing6
Missing (%)6.2%
Memory size908.0 B
2024-03-30T06:56:17.965139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.538462
Min length1

Characters and Unicode

Total characters1050
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

Unique85 ?
Unique (%)93.4%

Sample

1st row063-351-4955
2nd row063-351-3586
3rd row063-351-5635
4th row063-353-3697
5th row063-351-9191
ValueCountFrequency (%)
063-351-0691 2
 
2.3%
063-353-9415 1
 
1.1%
063-351-0388 1
 
1.1%
063-352-0210 1
 
1.1%
063-353-0396 1
 
1.1%
063-352-1362 1
 
1.1%
063-353-6808 1
 
1.1%
063-352-0945 1
 
1.1%
063-351-0111 1
 
1.1%
063-353-8291 1
 
1.1%
Other values (76) 76
87.4%
2024-03-30T06:56:19.066289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 225
21.4%
- 174
16.6%
0 129
12.3%
5 117
11.1%
6 112
10.7%
1 90
 
8.6%
2 70
 
6.7%
8 36
 
3.4%
4 35
 
3.3%
9 34
 
3.2%
Other values (2) 28
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 872
83.0%
Dash Punctuation 174
 
16.6%
Space Separator 4
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 225
25.8%
0 129
14.8%
5 117
13.4%
6 112
12.8%
1 90
 
10.3%
2 70
 
8.0%
8 36
 
4.1%
4 35
 
4.0%
9 34
 
3.9%
7 24
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 225
21.4%
- 174
16.6%
0 129
12.3%
5 117
11.1%
6 112
10.7%
1 90
 
8.6%
2 70
 
6.7%
8 36
 
3.4%
4 35
 
3.3%
9 34
 
3.2%
Other values (2) 28
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 225
21.4%
- 174
16.6%
0 129
12.3%
5 117
11.1%
6 112
10.7%
1 90
 
8.6%
2 70
 
6.7%
8 36
 
3.4%
4 35
 
3.3%
9 34
 
3.2%
Other values (2) 28
 
2.7%

Correlations

2024-03-30T06:56:19.361001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역구분종교명주소전화번호
지역1.0000.0000.9391.0000.820
구분0.0001.0000.0001.0001.000
종교명0.9390.0001.0001.0000.990
주소1.0001.0001.0001.0001.000
전화번호0.8201.0000.9901.0001.000
2024-03-30T06:56:19.622052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역구분
지역1.0000.000
구분0.0001.000
2024-03-30T06:56:19.984697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역구분
지역1.0000.000
구분0.0001.000

Missing values

2024-03-30T06:56:10.910900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T06:56:11.373659image/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

지역구분종교명주소전화번호
0장수개신교노곡교회전북특별자치도 장수군 장수읍 개실길 147063-351-4955
1장수개신교개정교회전북특별자치도 장수군 장수읍 개정농원길 20-45063-351-3586
2장수개신교구락교회전북특별자치도 장수군 장수읍 구락길 48063-351-5635
3장수개신교오동교회전북특별자치도 장수군 장수읍 구평길 78-1063-353-3697
4장수개신교장수교회전북특별자치도 장수군 장수읍 덕산로 16063-351-9191
5장수개신교장수침례교회전북특별자치도 장수군 장수읍 장천로 147070-7121-7575
6장수개신교장수중앙교회전북특별자치도 장수군 장수읍 보훈길 1-1063-351-2114
7장수개신교금평교회전북특별자치도 장수군 장수읍 비행로 987-9063-353-9182
8장수개신교송죽교회전북특별자치도 장수군 장수읍 식천길 187-4063-352-2418
9장수개신교장수순복음교회전북특별자치도 장수군 장수읍 음선길 30-15063-351-8291
지역구분종교명주소전화번호
87계남개신교신전교회전북특별자치도 장수군 계남면 음신길 21063-352-1006
88계남불교장안사전북특별자치도 장수군 계남면 지소골길 261063-352-7678
89계남불교보현사전북특별자치도 장수군 계남면 화산길 69-8063-353-0945
90계북개신교원양교회전북특별자치도 장수군 계북면 양악길 29063-352-2844
91계북개신교열린문교회전북특별자치도 장수군 계북면 샛담길 99-7<NA>
92계북개신교참샘교회전북특별자치도 장수군 계북면 원농소2길 19-8063-352-8291
93계북개신교계북교회전북특별자치도 장수군 계북면 장무로 965-5063-352-1322
94계북개신교임평교회전북특별자치도 장수군 계북면 지마재로 223063-352-2898
95계북불교극락사전북특별자치도 장수군 계북면 원촌리 166-2063-352-2888
96계북불교미륵사전북특별자치도 장수군 계북면 달밭길 11-2063-353-1416