Overview

Dataset statistics

Number of variables7
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory60.3 B

Variable types

Numeric1
Text4
DateTime2

Dataset

Description광주광역시에서 활동하는 민간단체중에서 종교단체현황에 대한 정보로 단체명, 대표자, 회원수, 주소, 연락처 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15043912/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
단체명 has unique valuesUnique
승인일 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:10:03.267778
Analysis finished2024-04-21 01:10:05.212873
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-21T10:10:05.276967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2024-04-21T10:10:05.392528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

단체명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-21T10:10:05.585321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10.5
Mean length8.025
Min length2

Characters and Unicode

Total characters321
Distinct characters105
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row대한예수교장로회전남노회유지재단
2nd row광주향교재단
3rd row금륜회
4th row한국불교조동종사암연합회
5th row선염불원
ValueCountFrequency (%)
대한불교 3
 
6.2%
대한예수교장로회전남노회유지재단 1
 
2.1%
영원한복음총회 1
 
2.1%
선교 1
 
2.1%
대한기독교연합회 1
 
2.1%
광주예경미션협회 1
 
2.1%
자비나눔 1
 
2.1%
선한교육 1
 
2.1%
대한불교선재종 1
 
2.1%
한국기독교미래연합 1
 
2.1%
Other values (36) 36
75.0%
2024-04-21T10:10:05.894300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 31
 
9.7%
회 24
 
7.5%
불 14
 
4.4%
한 13
 
4.0%
선 13
 
4.0%
주 10
 
3.1%
대 8
 
2.5%
8
 
2.5%
광 8
 
2.5%
종 7
 
2.2%
Other values (95) 185
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
97.5%
Space Separator 8
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 31
 
9.9%
회 24
 
7.7%
불 14
 
4.5%
한 13
 
4.2%
선 13
 
4.2%
주 10
 
3.2%
대 8
 
2.6%
광 8
 
2.6%
종 7
 
2.2%
단 6
 
1.9%
Other values (94) 179
57.2%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
97.5%
Common 8
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 31
 
9.9%
회 24
 
7.7%
불 14
 
4.5%
한 13
 
4.2%
선 13
 
4.2%
주 10
 
3.2%
대 8
 
2.6%
광 8
 
2.6%
종 7
 
2.2%
단 6
 
1.9%
Other values (94) 179
57.2%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
97.5%
ASCII 8
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 31
 
9.9%
회 24
 
7.7%
불 14
 
4.5%
한 13
 
4.2%
선 13
 
4.2%
주 10
 
3.2%
대 8
 
2.6%
광 8
 
2.6%
종 7
 
2.2%
단 6
 
1.9%
Other values (94) 179
57.2%
ASCII
ValueCountFrequency (%)
8
100.0%

승인일
Date

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum1976-03-02 00:00:00
Maximum2022-03-28 00:00:00
2024-04-21T10:10:06.008830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:10:06.115461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

대표자
Text

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-21T10:10:06.289455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.05
Min length3

Characters and Unicode

Total characters122
Distinct characters61
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row양승일
2nd row기한성
3rd row이신정
4th row정화수
5th row최인기
ValueCountFrequency (%)
박광의 2
 
4.8%
지용현 1
 
2.4%
문제율 1
 
2.4%
박진영 1
 
2.4%
이상권 1
 
2.4%
남철희 1
 
2.4%
이정범 1
 
2.4%
권상훈 1
 
2.4%
김춘자 1
 
2.4%
김용민 1
 
2.4%
Other values (31) 31
73.8%
2024-04-21T10:10:06.571487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 11
 
9.0%
광 6
 
4.9%
김 6
 
4.9%
박 5
 
4.1%
정 4
 
3.3%
희 4
 
3.3%
상 3
 
2.5%
수 3
 
2.5%
권 3
 
2.5%
성 3
 
2.5%
Other values (51) 74
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
98.4%
Space Separator 2
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 11
 
9.2%
광 6
 
5.0%
김 6
 
5.0%
박 5
 
4.2%
정 4
 
3.3%
희 4
 
3.3%
상 3
 
2.5%
수 3
 
2.5%
권 3
 
2.5%
성 3
 
2.5%
Other values (50) 72
60.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120
98.4%
Common 2
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 11
 
9.2%
광 6
 
5.0%
김 6
 
5.0%
박 5
 
4.2%
정 4
 
3.3%
희 4
 
3.3%
상 3
 
2.5%
수 3
 
2.5%
권 3
 
2.5%
성 3
 
2.5%
Other values (50) 72
60.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120
98.4%
ASCII 2
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 11
 
9.2%
광 6
 
5.0%
김 6
 
5.0%
박 5
 
4.2%
정 4
 
3.3%
희 4
 
3.3%
상 3
 
2.5%
수 3
 
2.5%
권 3
 
2.5%
성 3
 
2.5%
Other values (50) 72
60.0%
ASCII
ValueCountFrequency (%)
2
100.0%

연락처
Text

Distinct31
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-21T10:10:06.734505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters480
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

Unique30 ?
Unique (%)75.0%

Sample

1st row062-232-0025
2nd row062-672-7008
3rd row062-224-0175
4th row062-000-0000
5th row062-000-0000
ValueCountFrequency (%)
062-000-0000 10
25.0%
062-232-0025 1
 
2.5%
062-671-1150 1
 
2.5%
062-466-9500 1
 
2.5%
062-368-2460 1
 
2.5%
062-227-5119 1
 
2.5%
062-374-6199 1
 
2.5%
062-675-9002 1
 
2.5%
062-655-7175 1
 
2.5%
062-672-0009 1
 
2.5%
Other values (21) 21
52.5%
2024-04-21T10:10:06.995825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 145
30.2%
- 80
16.7%
2 68
14.2%
6 62
12.9%
3 27
 
5.6%
1 22
 
4.6%
5 19
 
4.0%
7 18
 
3.8%
9 16
 
3.3%
8 13
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
83.3%
Dash Punctuation 80
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 145
36.2%
2 68
17.0%
6 62
15.5%
3 27
 
6.8%
1 22
 
5.5%
5 19
 
4.8%
7 18
 
4.5%
9 16
 
4.0%
8 13
 
3.2%
4 10
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 145
30.2%
- 80
16.7%
2 68
14.2%
6 62
12.9%
3 27
 
5.6%
1 22
 
4.6%
5 19
 
4.0%
7 18
 
3.8%
9 16
 
3.3%
8 13
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 145
30.2%
- 80
16.7%
2 68
14.2%
6 62
12.9%
3 27
 
5.6%
1 22
 
4.6%
5 19
 
4.0%
7 18
 
3.8%
9 16
 
3.3%
8 13
 
2.7%

소재지주소
Text

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-21T10:10:07.237545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length16.075
Min length9

Characters and Unicode

Total characters643
Distinct characters102
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)90.0%

Sample

1st row동구 남문로 629(소태동)
2nd row남구 중앙로107번길 5(구동)
3rd row동구 구성로152번길 20(호남동)
4th row동구 천변우로 53(금동,코밀빌딩701호)
5th row남구 금당로3길 27 (진월동)
ValueCountFrequency (%)
북구 12
 
9.3%
서구 10
 
7.8%
동구 9
 
7.0%
남구 7
 
5.4%
태봉로 2
 
1.6%
제봉로 2
 
1.6%
운천로 2
 
1.6%
광산구 2
 
1.6%
87(동명동 2
 
1.6%
동계천로 2
 
1.6%
Other values (78) 79
61.2%
2024-04-21T10:10:07.593169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
13.8%
동 48
 
7.5%
구 42
 
6.5%
로 33
 
5.1%
( 30
 
4.7%
) 30
 
4.7%
1 28
 
4.4%
2 27
 
4.2%
길 17
 
2.6%
3 16
 
2.5%
Other values (92) 283
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
52.6%
Decimal Number 143
22.2%
Space Separator 89
 
13.8%
Open Punctuation 30
 
4.7%
Close Punctuation 30
 
4.7%
Dash Punctuation 8
 
1.2%
Other Punctuation 4
 
0.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
 
14.2%
구 42
 
12.4%
로 33
 
9.8%
길 17
 
5.0%
남 14
 
4.1%
북 13
 
3.8%
번 13
 
3.8%
서 11
 
3.3%
산 7
 
2.1%
봉 6
 
1.8%
Other values (76) 134
39.6%
Decimal Number
ValueCountFrequency (%)
1 28
19.6%
2 27
18.9%
3 16
11.2%
0 15
10.5%
5 13
9.1%
4 12
8.4%
9 9
 
6.3%
7 9
 
6.3%
6 8
 
5.6%
8 6
 
4.2%
Space Separator
ValueCountFrequency (%)
89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
52.6%
Common 304
47.3%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
 
14.2%
구 42
 
12.4%
로 33
 
9.8%
길 17
 
5.0%
남 14
 
4.1%
북 13
 
3.8%
번 13
 
3.8%
서 11
 
3.3%
산 7
 
2.1%
봉 6
 
1.8%
Other values (76) 134
39.6%
Common
ValueCountFrequency (%)
89
29.3%
( 30
 
9.9%
) 30
 
9.9%
1 28
 
9.2%
2 27
 
8.9%
3 16
 
5.3%
0 15
 
4.9%
5 13
 
4.3%
4 12
 
3.9%
9 9
 
3.0%
Other values (5) 35
 
11.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
52.6%
ASCII 305
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
29.2%
( 30
 
9.8%
) 30
 
9.8%
1 28
 
9.2%
2 27
 
8.9%
3 16
 
5.2%
0 15
 
4.9%
5 13
 
4.3%
4 12
 
3.9%
9 9
 
3.0%
Other values (6) 36
11.8%
Hangul
ValueCountFrequency (%)
동 48
 
14.2%
구 42
 
12.4%
로 33
 
9.8%
길 17
 
5.0%
남 14
 
4.1%
북 13
 
3.8%
번 13
 
3.8%
서 11
 
3.3%
산 7
 
2.1%
봉 6
 
1.8%
Other values (76) 134
39.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2023-11-23 00:00:00
Maximum2023-11-23 00:00:00
2024-04-21T10:10:07.692701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:10:07.783831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T10:10:04.905201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:10:07.859509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단체명승인일대표자연락처소재지주소
연번1.0001.0001.0000.9320.6590.857
단체명1.0001.0001.0001.0001.0001.000
승인일1.0001.0001.0001.0001.0001.000
대표자0.9321.0001.0001.0000.9621.000
연락처0.6591.0001.0000.9621.0000.851
소재지주소0.8571.0001.0001.0000.8511.000

Missing values

2024-04-21T10:10:05.079569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:10:05.171426image/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

연번단체명승인일대표자연락처소재지주소데이터기준일자
01대한예수교장로회전남노회유지재단1976-03-02양승일062-232-0025동구 남문로 629(소태동)2023-11-23
12광주향교재단1987-07-10기한성062-672-7008남구 중앙로107번길 5(구동)2023-11-23
23금륜회2003-03-28이신정062-224-0175동구 구성로152번길 20(호남동)2023-11-23
34한국불교조동종사암연합회2004-05-21정화수062-000-0000동구 천변우로 53(금동,코밀빌딩701호)2023-11-23
45선염불원2005-11-30최인기062-000-0000남구 금당로3길 27 (진월동)2023-11-23
56전남지방경찰청 경선교회2006-08-15권오연062-226-2636남구 봉선동 26-152023-11-23
67광주전통불교영산회2006-09-07박도길062-375-0053서구 화개1로 532023-11-23
78광주불교사암연합회2006-12-29이재희062-376-3223서구 치평동 산12023-11-23
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