Overview

Dataset statistics

Number of variables7
Number of observations38
Missing cells8
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory60.5 B

Variable types

Numeric1
Categorical1
Text3
DateTime2

Dataset

Description대전광역시 종교법인(재단법인, 사단법인)현황 데이터로 단체명, 주소, 허가일자, 연락처 정보를 제공합니다.(제공일자 기준 : 2023. 3. 1 현재)
URLhttps://www.data.go.kr/data/15063358/fileData.do

Alerts

작성기준일 has constant value ""Constant
연번 is highly overall correlated with 구분　High correlation
구분　 is highly overall correlated with 연번High correlation
전화번호 has 8 (21.1%) missing valuesMissing
연번 has unique valuesUnique
법인체명 has unique valuesUnique
소재지 has unique valuesUnique
허가일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:39:52.863840
Analysis finished2023-12-12 07:39:53.852112
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:39:53.946563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2023-12-12T16:39:54.110988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
31 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
29 1
2.6%

구분　
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
사단
23 
재단
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사단 23
60.5%
재단 15
39.5%

Length

2023-12-12T16:39:54.254027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:39:54.356694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사단 23
60.5%
재단 15
39.5%

법인체명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T16:39:54.570393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length10.210526
Min length4

Characters and Unicode

Total characters388
Distinct characters114
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row도 덕 회
2nd row예 수 수 도 회
3rd row극동사도 선교회 유지재단
4th row대한예수교장로회대전노회 유지재단
5th row대한예수교 복음교회유지재단
ValueCountFrequency (%)
대한불교 5
 
7.5%
유지재단 4
 
6.0%
수 3
 
4.5%
도 2
 
3.0%
회 2
 
3.0%
대한불교조계종대전비구니청림회 1
 
1.5%
종정협의회 1
 
1.5%
금강종협의회 1
 
1.5%
대한예수교장로회청교도총회 1
 
1.5%
염불종회(원광사 1
 
1.5%
Other values (46) 46
68.7%
2023-12-12T16:39:55.070586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 33
 
8.5%
29
 
7.5%
회 29
 
7.5%
대 25
 
6.4%
한 17
 
4.4%
불 16
 
4.1%
수 11
 
2.8%
전 10
 
2.6%
유 8
 
2.1%
예 8
 
2.1%
Other values (104) 202
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 353
91.0%
Space Separator 29
 
7.5%
Uppercase Letter 4
 
1.0%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 33
 
9.3%
회 29
 
8.2%
대 25
 
7.1%
한 17
 
4.8%
불 16
 
4.5%
수 11
 
3.1%
전 10
 
2.8%
유 8
 
2.3%
예 8
 
2.3%
단 8
 
2.3%
Other values (97) 188
53.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
M 1
25.0%
Y 1
25.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 353
91.0%
Common 31
 
8.0%
Latin 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 33
 
9.3%
회 29
 
8.2%
대 25
 
7.1%
한 17
 
4.8%
불 16
 
4.5%
수 11
 
3.1%
전 10
 
2.8%
유 8
 
2.3%
예 8
 
2.3%
단 8
 
2.3%
Other values (97) 188
53.3%
Latin
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
M 1
25.0%
Y 1
25.0%
Common
ValueCountFrequency (%)
29
93.5%
) 1
 
3.2%
( 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 353
91.0%
ASCII 35
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 33
 
9.3%
회 29
 
8.2%
대 25
 
7.1%
한 17
 
4.8%
불 16
 
4.5%
수 11
 
3.1%
전 10
 
2.8%
유 8
 
2.3%
예 8
 
2.3%
단 8
 
2.3%
Other values (97) 188
53.3%
ASCII
ValueCountFrequency (%)
29
82.9%
) 1
 
2.9%
( 1
 
2.9%
C 1
 
2.9%
A 1
 
2.9%
M 1
 
2.9%
Y 1
 
2.9%

소재지
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T16:39:55.437939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length24.789474
Min length15

Characters and Unicode

Total characters942
Distinct characters108
Distinct categories7 ?
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 (%)100.0%

Sample

1st row대전광역시 동구 흥룡로 71번길 92(가양동)
2nd row대전광역시 중구 대흥로 62
3rd row대전광역시 중구 계룡로 816번길 19
4th row대전광역시 유성구 학하서로 103
5th row대전광역시 서구 계룡로 509번길 6, 204호(주안에쉐르)
ValueCountFrequency (%)
대전광역시 38
 
19.5%
서구 11
 
5.6%
중구 8
 
4.1%
동구 5
 
2.6%
유성 5
 
2.6%
대덕구 4
 
2.1%
계룡로 4
 
2.1%
유성구 3
 
1.5%
대덕 2
 
1.0%
보문로 2
 
1.0%
Other values (110) 113
57.9%
2023-12-12T16:39:55.957065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
 
17.2%
대 57
 
6.1%
전 41
 
4.4%
광 38
 
4.0%
역 38
 
4.0%
시 38
 
4.0%
로 36
 
3.8%
1 33
 
3.5%
구 32
 
3.4%
2 27
 
2.9%
Other values (98) 440
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 536
56.9%
Decimal Number 192
 
20.4%
Space Separator 162
 
17.2%
Open Punctuation 16
 
1.7%
Close Punctuation 16
 
1.7%
Other Punctuation 14
 
1.5%
Dash Punctuation 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 57
 
10.6%
전 41
 
7.6%
광 38
 
7.1%
역 38
 
7.1%
시 38
 
7.1%
로 36
 
6.7%
구 32
 
6.0%
동 21
 
3.9%
길 20
 
3.7%
번 19
 
3.5%
Other values (83) 196
36.6%
Decimal Number
ValueCountFrequency (%)
1 33
17.2%
2 27
14.1%
3 24
12.5%
0 23
12.0%
4 19
9.9%
5 17
8.9%
9 16
8.3%
7 14
7.3%
6 12
 
6.2%
8 7
 
3.6%
Space Separator
ValueCountFrequency (%)
162
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 536
56.9%
Common 406
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 57
 
10.6%
전 41
 
7.6%
광 38
 
7.1%
역 38
 
7.1%
시 38
 
7.1%
로 36
 
6.7%
구 32
 
6.0%
동 21
 
3.9%
길 20
 
3.7%
번 19
 
3.5%
Other values (83) 196
36.6%
Common
ValueCountFrequency (%)
162
39.9%
1 33
 
8.1%
2 27
 
6.7%
3 24
 
5.9%
0 23
 
5.7%
4 19
 
4.7%
5 17
 
4.2%
9 16
 
3.9%
( 16
 
3.9%
) 16
 
3.9%
Other values (5) 53
 
13.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 536
56.9%
ASCII 406
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162
39.9%
1 33
 
8.1%
2 27
 
6.7%
3 24
 
5.9%
0 23
 
5.7%
4 19
 
4.7%
5 17
 
4.2%
9 16
 
3.9%
( 16
 
3.9%
) 16
 
3.9%
Other values (5) 53
 
13.1%
Hangul
ValueCountFrequency (%)
대 57
 
10.6%
전 41
 
7.6%
광 38
 
7.1%
역 38
 
7.1%
시 38
 
7.1%
로 36
 
6.7%
구 32
 
6.0%
동 21
 
3.9%
길 20
 
3.7%
번 19
 
3.5%
Other values (83) 196
36.6%

허가일자
Date

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum1964-07-28 00:00:00
Maximum2022-04-18 00:00:00
2023-12-12T16:39:56.127961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:39:56.268134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

전화번호
Text

MISSING 

Distinct29
Distinct (%)96.7%
Missing8
Missing (%)21.1%
Memory size436.0 B
2023-12-12T16:39:56.466900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique28 ?
Unique (%)93.3%

Sample

1st row042-625-6336
2nd row042-254-6530
3rd row042-522-8351
4th row042-621-7353
5th row042-221-0774
ValueCountFrequency (%)
042-621-7353 2
 
6.7%
042-525-9106 1
 
3.3%
042-625-6336 1
 
3.3%
042-545-2955 1
 
3.3%
042-822-2377 1
 
3.3%
042-526-1080 1
 
3.3%
042-223-0900 1
 
3.3%
042-242-1080 1
 
3.3%
042-633-8311 1
 
3.3%
042-222-7090 1
 
3.3%
Other values (19) 19
63.3%
2023-12-12T16:39:56.785968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 68
18.9%
- 60
16.7%
0 53
14.7%
4 44
12.2%
5 28
7.8%
3 26
 
7.2%
6 20
 
5.6%
7 19
 
5.3%
8 17
 
4.7%
1 16
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 68
22.7%
0 53
17.7%
4 44
14.7%
5 28
9.3%
3 26
 
8.7%
6 20
 
6.7%
7 19
 
6.3%
8 17
 
5.7%
1 16
 
5.3%
9 9
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 68
18.9%
- 60
16.7%
0 53
14.7%
4 44
12.2%
5 28
7.8%
3 26
 
7.2%
6 20
 
5.6%
7 19
 
5.3%
8 17
 
4.7%
1 16
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 68
18.9%
- 60
16.7%
0 53
14.7%
4 44
12.2%
5 28
7.8%
3 26
 
7.2%
6 20
 
5.6%
7 19
 
5.3%
8 17
 
4.7%
1 16
 
4.4%

작성기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2023-03-01 00:00:00
Maximum2023-03-01 00:00:00
2023-12-12T16:39:56.944653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:39:57.064923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T16:39:53.136427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:39:57.157960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분법인체명소재지허가일자전화번호
연번1.0001.0001.0001.0001.0000.905
구분1.0001.0001.0001.0001.0001.000
법인체명1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
허가일자1.0001.0001.0001.0001.0001.000
전화번호0.9051.0001.0001.0001.0001.000
2023-12-12T16:39:57.282042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.882
구분0.8821.000

Missing values

2023-12-12T16:39:53.628379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:39:53.781040image/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

연번구분법인체명소재지허가일자전화번호작성기준일
01재단도 덕 회대전광역시 동구 흥룡로 71번길 92(가양동)1964-07-28042-625-63362023-03-01
12재단예 수 수 도 회대전광역시 중구 대흥로 621965-02-25042-254-65302023-03-01
23재단극동사도 선교회 유지재단대전광역시 중구 계룡로 816번길 191965-08-16042-522-83512023-03-01
34재단대한예수교장로회대전노회 유지재단대전광역시 유성구 학하서로 1031969-04-08042-621-73532023-03-01
45재단대한예수교 복음교회유지재단대전광역시 서구 계룡로 509번길 6, 204호(주안에쉐르)1972-02-01042-221-07742023-03-01
56재단거룩한말씀의 수녀회대전광역시 중구 동서대로 1365번길 291983-04-25042-255-50042023-03-01
67재단세등선원대전광역시 서구 탄방로 351988-11-22042-485-03352023-03-01
78재단대전광역시 향교재단대전광역시 유성 엑스포로 245 유림회관 (4층)1995-10-20042-861-47722023-03-01
89재단수 운 교대전광역시 유성 자운로 245번길 801999-11-02042-861-17712023-03-01
910재단대승불교 양우회 유지재단대전광역시 유성 노은동로 79번길 75, 양우빌딩3층2004-09-08042-477-60462023-03-01
연번구분법인체명소재지허가일자전화번호작성기준일
2829사단대전광역시불교총연합신도회대전광역시 중구 과례로 22번길 49, 303호2012-09-11042-223-09002023-03-01
2930사단대전광역시불교총연합회대전광역시 서구 도산로 370번길 55, 가-202호(서우아파트)2013-11-05042-526-10802023-03-01
3031사단대한불교 원각회대전광역시 유성 북유성대로 487번길 130 (구암사)2014-07-10042-822-23772023-03-01
3132사단유니온 크리스탈 스칼라대전광역시 대덕 중리서로 41번길 30, 201호 (중리동)2019-09-03<NA>2023-03-01
3233사단늘푸른 선교센터대전광역시 서구 원도안로 1102019-11-27<NA>2023-03-01
3334사단대한예수교복음교회포스퀘어대전광역시 서구 월평서로 6번길 14, 201호(월평동)2020-06-24<NA>2023-03-01
3435사단그리스도의교회총회대전광역시 동구 한밭대로1237벌길 37-24(용전동)2020-06-29<NA>2023-03-01
3536사단대한불교천봉종대전광역시 중구 대둔산로 460, 301호2020-12-15042-582-85582023-03-01
3637사단성경영성아카데미대전광역시 서구 계룡로 491번길 24, 5층2021-12-07<NA>2023-03-01
3738사단대한불교혜인조계종대전광역시 중구 대종로 208, 4층 401호2022-04-18<NA>2023-03-01