Overview

Dataset statistics

Number of variables5
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory43.7 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description경상북도 울릉군의 종교시설을 개신교, 천주교, 불교 등 종교별로 구분하여 나타낸 자료입니다. 해당 데이터는 연단위로 갱신되어집니다.
URLhttps://www.data.go.kr/data/15117925/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique
주 소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:03:16.343104
Analysis finished2023-12-12 03:03:16.934286
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T12:03:17.056975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-12T12:03:17.218600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

시설명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T12:03:17.507786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length5.3469388
Min length3

Characters and Unicode

Total characters262
Distinct characters79
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row나리교회
2nd row천부침례교회
3rd row석포침례교회
4th row추산침례교회
5th row현포침례교회
ValueCountFrequency (%)
나리교회 1
 
1.9%
천부침례교회 1
 
1.9%
신흥교회 1
 
1.9%
현포양문교회 1
 
1.9%
서문교회 1
 
1.9%
울릉양문교회 1
 
1.9%
죽암교회 1
 
1.9%
동산교회 1
 
1.9%
좁은길교회 1
 
1.9%
울릉소망교회 1
 
1.9%
Other values (42) 42
80.8%
2023-12-12T12:03:18.359874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 36
 
13.7%
회 36
 
13.7%
침 15
 
5.7%
례 15
 
5.7%
사 8
 
3.1%
릉 7
 
2.7%
울 7
 
2.7%
성 6
 
2.3%
동 6
 
2.3%
천 5
 
1.9%
Other values (69) 121
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
97.7%
Space Separator 3
 
1.1%
Uppercase Letter 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 36
 
14.1%
회 36
 
14.1%
침 15
 
5.9%
례 15
 
5.9%
사 8
 
3.1%
릉 7
 
2.7%
울 7
 
2.7%
성 6
 
2.3%
동 6
 
2.3%
천 5
 
2.0%
Other values (65) 115
44.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
G 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
97.7%
Common 3
 
1.1%
Latin 3
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 36
 
14.1%
회 36
 
14.1%
침 15
 
5.9%
례 15
 
5.9%
사 8
 
3.1%
릉 7
 
2.7%
울 7
 
2.7%
성 6
 
2.3%
동 6
 
2.3%
천 5
 
2.0%
Other values (65) 115
44.9%
Latin
ValueCountFrequency (%)
S 1
33.3%
G 1
33.3%
I 1
33.3%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
97.7%
ASCII 6
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 36
 
14.1%
회 36
 
14.1%
침 15
 
5.9%
례 15
 
5.9%
사 8
 
3.1%
릉 7
 
2.7%
울 7
 
2.7%
성 6
 
2.3%
동 6
 
2.3%
천 5
 
2.0%
Other values (65) 115
44.9%
ASCII
ValueCountFrequency (%)
3
50.0%
S 1
 
16.7%
G 1
 
16.7%
I 1
 
16.7%

주 소
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T12:03:18.703654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.387755
Min length16

Characters and Unicode

Total characters950
Distinct characters58
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

Unique49 ?
Unique (%)100.0%

Sample

1st row경북 울릉군 북면 나리길 568-3
2nd row경북 울릉군 북면 천부2길 11
3rd row경북 울릉군 북면 석포길 455
4th row경북 울릉군 북면 추산길 101-11
5th row경북 울릉군 북면 현포길 27-19
ValueCountFrequency (%)
울릉군 49
19.6%
경북 45
18.0%
울릉읍 25
 
10.0%
북면 13
 
5.2%
서면 11
 
4.4%
울릉순환로 7
 
2.8%
봉래길 4
 
1.6%
경상북도 4
 
1.6%
도동길 2
 
0.8%
1길 2
 
0.8%
Other values (79) 88
35.2%
2023-12-12T12:03:19.246639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
21.3%
울 81
 
8.5%
릉 81
 
8.5%
북 62
 
6.5%
경 49
 
5.2%
군 49
 
5.2%
1 46
 
4.8%
길 39
 
4.1%
2 30
 
3.2%
- 26
 
2.7%
Other values (48) 285
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 547
57.6%
Space Separator 202
 
21.3%
Decimal Number 175
 
18.4%
Dash Punctuation 26
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 81
14.8%
릉 81
14.8%
북 62
11.3%
경 49
9.0%
군 49
9.0%
길 39
 
7.1%
읍 25
 
4.6%
면 24
 
4.4%
서 14
 
2.6%
동 12
 
2.2%
Other values (36) 111
20.3%
Decimal Number
ValueCountFrequency (%)
1 46
26.3%
2 30
17.1%
3 21
12.0%
4 14
 
8.0%
6 14
 
8.0%
5 13
 
7.4%
9 13
 
7.4%
0 9
 
5.1%
7 9
 
5.1%
8 6
 
3.4%
Space Separator
ValueCountFrequency (%)
202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 547
57.6%
Common 403
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 81
14.8%
릉 81
14.8%
북 62
11.3%
경 49
9.0%
군 49
9.0%
길 39
 
7.1%
읍 25
 
4.6%
면 24
 
4.4%
서 14
 
2.6%
동 12
 
2.2%
Other values (36) 111
20.3%
Common
ValueCountFrequency (%)
202
50.1%
1 46
 
11.4%
2 30
 
7.4%
- 26
 
6.5%
3 21
 
5.2%
4 14
 
3.5%
6 14
 
3.5%
5 13
 
3.2%
9 13
 
3.2%
0 9
 
2.2%
Other values (2) 15
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 547
57.6%
ASCII 403
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
50.1%
1 46
 
11.4%
2 30
 
7.4%
- 26
 
6.5%
3 21
 
5.2%
4 14
 
3.5%
6 14
 
3.5%
5 13
 
3.2%
9 13
 
3.2%
0 9
 
2.2%
Other values (2) 15
 
3.7%
Hangul
ValueCountFrequency (%)
울 81
14.8%
릉 81
14.8%
북 62
11.3%
경 49
9.0%
군 49
9.0%
길 39
 
7.1%
읍 25
 
4.6%
면 24
 
4.4%
서 14
 
2.6%
동 12
 
2.2%
Other values (36) 111
20.3%

연락처
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T12:03:19.581174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.979592
Min length11

Characters and Unicode

Total characters587
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

Unique49 ?
Unique (%)100.0%

Sample

1st row054-791-6293
2nd row054-791-191
3rd row054-791-6237
4th row054-791-6176
5th row054-791-5768
ValueCountFrequency (%)
054-791-6293 1
 
2.0%
054-791-2915 1
 
2.0%
054-791-2448 1
 
2.0%
054-791-2273 1
 
2.0%
054-791-3496 1
 
2.0%
054-791-3942 1
 
2.0%
054-791-4562 1
 
2.0%
054-791-6135 1
 
2.0%
054-791-4798 1
 
2.0%
054-791-3081 1
 
2.0%
Other values (39) 39
79.6%
2023-12-12T12:03:20.213568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 98
16.7%
4 77
13.1%
5 72
12.3%
0 71
12.1%
7 67
11.4%
9 64
10.9%
1 58
9.9%
2 29
 
4.9%
6 21
 
3.6%
3 16
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 489
83.3%
Dash Punctuation 98
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 77
15.7%
5 72
14.7%
0 71
14.5%
7 67
13.7%
9 64
13.1%
1 58
11.9%
2 29
 
5.9%
6 21
 
4.3%
3 16
 
3.3%
8 14
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 587
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 98
16.7%
4 77
13.1%
5 72
12.3%
0 71
12.1%
7 67
11.4%
9 64
10.9%
1 58
9.9%
2 29
 
4.9%
6 21
 
3.6%
3 16
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 587
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 98
16.7%
4 77
13.1%
5 72
12.3%
0 71
12.1%
7 67
11.4%
9 64
10.9%
1 58
9.9%
2 29
 
4.9%
6 21
 
3.6%
3 16
 
2.7%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
개신교
36 
불교
11 
천주교
 
2

Length

Max length3
Median length3
Mean length2.7755102
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개신교 36
73.5%
불교 11
 
22.4%
천주교 2
 
4.1%

Length

2023-12-12T12:03:20.443041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:03:20.607410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개신교 36
73.5%
불교 11
 
22.4%
천주교 2
 
4.1%

Interactions

2023-12-12T12:03:16.623526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:03:20.706995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명주 소연락처구분
연번1.0001.0001.0001.0000.841
시설명1.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.000
구분0.8411.0001.0001.0001.000
2023-12-12T12:03:20.844266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.692
구분0.6921.000

Missing values

2023-12-12T12:03:16.751183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:03:16.878132image/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

연번시설명주 소연락처구분
01나리교회경북 울릉군 북면 나리길 568-3054-791-6293개신교
12천부침례교회경북 울릉군 북면 천부2길 11054-791-191개신교
23석포침례교회경북 울릉군 북면 석포길 455054-791-6237개신교
34추산침례교회경북 울릉군 북면 추산길 101-11054-791-6176개신교
45현포침례교회경북 울릉군 북면 현포길 27-19054-791-5768개신교
56평리침례교회경북 울릉군 북면 평리2길 207-4054-791-5809개신교
67구암교회경북 울릉군 서면 구암길 4-30054-791-5204개신교
78남양침례교회경북 울릉군 서면 남서길 36-7054-791-4944개신교
89서달침례교회경북 울릉군 서면 태하리 서달길 214-17054-791-5420개신교
910태하침례교회경북 울릉군 서면 태하길 138054-791-5358개신교
연번시설명주 소연락처구분
3940대원사경북 울릉군 울릉읍 도동8길 15-11054-791-2006불교
4041보덕사경북 울릉군 울릉읍 봉래길 31-13054-791-2482불교
4142성불사경북 울릉군 북면 추산길 116-4054-791-7009불교
4243여래심인당경북 울릉군 울릉읍 도동길 203054-791-2040불교
4344총지심인당경상북도 울릉군 울릉읍 사동리 624-1054-791-2465불교
4445선원심인당경북 울릉군 서면 남양4길 39054-791-4943불교
4546해도사경북 울릉군 울릉읍 약수터길 63054-791-2471불교
4647남양 성인사경상북도 울릉군 서면 남서리 19054-791-5011불교
4748태하 삼도사경상북도 울릉군 서면 태하2길 58-10054-791-5457불교
4849한국SGI 울릉연수원경상북도 울릉군 울릉읍 옥천길 130054-791-4550불교