Overview

Dataset statistics

Number of variables4
Number of observations96
Missing cells11
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory33.4 B

Variable types

Text3
Categorical1

Dataset

Description부산광역시강서구_종교단체(시설)현황_20230817
Author부산광역시 강서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15062490

Alerts

기준일자 has constant value ""Constant
전화번호 has 11 (11.5%) missing valuesMissing
단체명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:48:17.196370
Analysis finished2023-12-10 16:48:17.657983
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단체명
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-11T01:48:17.945126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.46875
Min length3

Characters and Unicode

Total characters429
Distinct characters132
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row법장사
2nd row육주선원
3rd row보광선원
4th row금강암
5th row용화사
ValueCountFrequency (%)
법장사 1
 
1.0%
육주선원 1
 
1.0%
가락교회 1
 
1.0%
호산나교회 1
 
1.0%
비전호산나교회 1
 
1.0%
명지비전교회 1
 
1.0%
명지로교회 1
 
1.0%
넘치는교회 1
 
1.0%
명지성결교회 1
 
1.0%
기쁜우리교회 1
 
1.0%
Other values (86) 86
89.6%
2023-12-11T01:48:18.405718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 62
 
14.5%
교 62
 
14.5%
사 22
 
5.1%
지 11
 
2.6%
강 10
 
2.3%
성 9
 
2.1%
암 9
 
2.1%
명 8
 
1.9%
산 7
 
1.6%
대 6
 
1.4%
Other values (122) 223
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 429
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 62
 
14.5%
교 62
 
14.5%
사 22
 
5.1%
지 11
 
2.6%
강 10
 
2.3%
성 9
 
2.1%
암 9
 
2.1%
명 8
 
1.9%
산 7
 
1.6%
대 6
 
1.4%
Other values (122) 223
52.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 429
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 62
 
14.5%
교 62
 
14.5%
사 22
 
5.1%
지 11
 
2.6%
강 10
 
2.3%
성 9
 
2.1%
암 9
 
2.1%
명 8
 
1.9%
산 7
 
1.6%
대 6
 
1.4%
Other values (122) 223
52.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 429
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 62
 
14.5%
교 62
 
14.5%
사 22
 
5.1%
지 11
 
2.6%
강 10
 
2.3%
성 9
 
2.1%
암 9
 
2.1%
명 8
 
1.9%
산 7
 
1.6%
대 6
 
1.4%
Other values (122) 223
52.0%

주소
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-11T01:48:18.711433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length11.53125
Min length6

Characters and Unicode

Total characters1107
Distinct characters97
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row대저중앙로147번길 42-15
2nd row공항로1309번길 198-11
3rd row공항진입로 32
4th row상덕로119번가길 77
5th row낙동북로138번길 57
ValueCountFrequency (%)
명지국제8로 7
 
3.5%
낙동남로 3
 
1.5%
12 3
 
1.5%
신호산단1로 3
 
1.5%
30 2
 
1.0%
가락대로1397번길 2
 
1.0%
50 2
 
1.0%
26 2
 
1.0%
4층 2
 
1.0%
명지새동네길1번길 2
 
1.0%
Other values (164) 172
86.0%
2023-12-11T01:48:19.148438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
 
9.8%
1 84
 
7.6%
길 75
 
6.8%
로 71
 
6.4%
2 62
 
5.6%
번 51
 
4.6%
4 44
 
4.0%
3 44
 
4.0%
6 36
 
3.3%
5 35
 
3.2%
Other values (87) 496
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 536
48.4%
Decimal Number 428
38.7%
Space Separator 109
 
9.8%
Dash Punctuation 27
 
2.4%
Other Punctuation 4
 
0.4%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 75
 
14.0%
로 71
 
13.2%
번 51
 
9.5%
동 21
 
3.9%
명 20
 
3.7%
지 20
 
3.7%
가 18
 
3.4%
제 14
 
2.6%
산 14
 
2.6%
신 13
 
2.4%
Other values (71) 219
40.9%
Decimal Number
ValueCountFrequency (%)
1 84
19.6%
2 62
14.5%
4 44
10.3%
3 44
10.3%
6 36
8.4%
5 35
8.2%
7 35
8.2%
9 31
 
7.2%
8 29
 
6.8%
0 28
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
A 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 568
51.3%
Hangul 536
48.4%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 75
 
14.0%
로 71
 
13.2%
번 51
 
9.5%
동 21
 
3.9%
명 20
 
3.7%
지 20
 
3.7%
가 18
 
3.4%
제 14
 
2.6%
산 14
 
2.6%
신 13
 
2.4%
Other values (71) 219
40.9%
Common
ValueCountFrequency (%)
109
19.2%
1 84
14.8%
2 62
10.9%
4 44
7.7%
3 44
7.7%
6 36
 
6.3%
5 35
 
6.2%
7 35
 
6.2%
9 31
 
5.5%
8 29
 
5.1%
Other values (3) 59
10.4%
Latin
ValueCountFrequency (%)
M 1
33.3%
A 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 571
51.6%
Hangul 536
48.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
19.1%
1 84
14.7%
2 62
10.9%
4 44
7.7%
3 44
7.7%
6 36
 
6.3%
5 35
 
6.1%
7 35
 
6.1%
9 31
 
5.4%
8 29
 
5.1%
Other values (6) 62
10.9%
Hangul
ValueCountFrequency (%)
길 75
 
14.0%
로 71
 
13.2%
번 51
 
9.5%
동 21
 
3.9%
명 20
 
3.7%
지 20
 
3.7%
가 18
 
3.4%
제 14
 
2.6%
산 14
 
2.6%
신 13
 
2.4%
Other values (71) 219
40.9%

전화번호
Text

MISSING 

Distinct85
Distinct (%)100.0%
Missing11
Missing (%)11.5%
Memory size900.0 B
2023-12-11T01:48:19.435377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.094118
Min length12

Characters and Unicode

Total characters1028
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

Unique85 ?
Unique (%)100.0%

Sample

1st row051-972-3647
2nd row051-973-0042
3rd row051-973-7158
4th row051-972-0633
5th row051-971-2056
ValueCountFrequency (%)
051-271-1001 1
 
1.2%
051-831-7123 1
 
1.2%
051-971-8128 1
 
1.2%
051-051-205-3070 1
 
1.2%
0507-1319-6843 1
 
1.2%
0507-1480-1152 1
 
1.2%
051-271-0983 1
 
1.2%
051-263-1191 1
 
1.2%
051-271-7040 1
 
1.2%
051-203-0199 1
 
1.2%
Other values (75) 75
88.2%
2023-12-11T01:48:19.846877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 180
17.5%
- 171
16.6%
0 151
14.7%
5 115
11.2%
7 99
9.6%
9 85
8.3%
2 79
7.7%
3 50
 
4.9%
8 42
 
4.1%
4 29
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 857
83.4%
Dash Punctuation 171
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 180
21.0%
0 151
17.6%
5 115
13.4%
7 99
11.6%
9 85
9.9%
2 79
9.2%
3 50
 
5.8%
8 42
 
4.9%
4 29
 
3.4%
6 27
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1028
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 180
17.5%
- 171
16.6%
0 151
14.7%
5 115
11.2%
7 99
9.6%
9 85
8.3%
2 79
7.7%
3 50
 
4.9%
8 42
 
4.1%
4 29
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1028
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 180
17.5%
- 171
16.6%
0 151
14.7%
5 115
11.2%
7 99
9.6%
9 85
8.3%
2 79
7.7%
3 50
 
4.9%
8 42
 
4.1%
4 29
 
2.8%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-08-17
96 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-17
2nd row2023-08-17
3rd row2023-08-17
4th row2023-08-17
5th row2023-08-17

Common Values

ValueCountFrequency (%)
2023-08-17 96
100.0%

Length

2023-12-11T01:48:20.022006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:48:20.157132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-17 96
100.0%

Correlations

2023-12-11T01:48:20.224801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단체명주소전화번호
단체명1.0001.0001.000
주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-11T01:48:17.508806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:48:17.615585image/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

단체명주소전화번호기준일자
0법장사대저중앙로147번길 42-15051-972-36472023-08-17
1육주선원공항로1309번길 198-11051-973-00422023-08-17
2보광선원공항진입로 32051-973-71582023-08-17
3금강암상덕로119번가길 77051-972-06332023-08-17
4용화사낙동북로138번길 57051-971-20562023-08-17
5백암사상덕로97번가길 17051-466-72372023-08-17
6지장암상덕로49번길 12051-971-72202023-08-17
7천용사낙동북로73번가길 134051-971-20722023-08-17
8청량사제도로 29051-271-27742023-08-17
9용평사낙동남로991번길 55-19051-271-25912023-08-17
단체명주소전화번호기준일자
86영원교회신호산단3로 55, 윌더하임A 상가 204호<NA>2023-08-17
87천성교회가덕해안로751번길 49051-972-11512023-08-17
88가덕중앙교회가덕해안로2번가길 129-1051-971-10382023-08-17
89대항교회가덕해안로1208번길 20-19051-971-72782023-08-17
90장항교회선창길 50051-941-74622023-08-17
91가덕교회동선길 234051-972-78462023-08-17
92울만성당설만신평길 13051-973-95092023-08-17
93명지성당명지오션시티4로 35051-271-77112023-08-17
94명지신도시성당명지국제6로318번길 70051-294-77112023-08-17
95녹산이슬라믹센터송정길 180<NA>2023-08-17