Overview

Dataset statistics

Number of variables6
Number of observations90
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory50.4 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description경상북도 영양군 종교시설 현황에 대한 데이터로 연번, 시설명, 주소, 전화번호, 종교구분, 데이터기준일자를 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15117964/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 종교구분High correlation
종교구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-04-20 18:09:18.634870
Analysis finished2024-04-20 18:09:19.938528
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.5
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size938.0 B
2024-04-21T03:09:20.071004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.45
Q123.25
median45.5
Q367.75
95-th percentile85.55
Maximum90
Range89
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation26.124701
Coefficient of variation (CV)0.57416925
Kurtosis-1.2
Mean45.5
Median Absolute Deviation (MAD)22.5
Skewness0
Sum4095
Variance682.5
MonotonicityStrictly increasing
2024-04-21T03:09:20.309795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
69 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
Other values (80) 80
88.9%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%

시설명
Text

Distinct88
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size848.0 B
2024-04-21T03:09:21.152784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length3.9666667
Min length3

Characters and Unicode

Total characters357
Distinct characters100
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

Unique86 ?
Unique (%)95.6%

Sample

1st row용주사
2nd row연대암
3rd row무량사
4th row영양교당
5th row관음정사
ValueCountFrequency (%)
영양성당 4
 
4.3%
용화사 2
 
2.2%
천문사 2
 
2.2%
영양서부교회 1
 
1.1%
영양중앙교회 1
 
1.1%
용주사 1
 
1.1%
주파교회 1
 
1.1%
저동교회 1
 
1.1%
신당교회 1
 
1.1%
청기교회 1
 
1.1%
Other values (78) 78
83.9%
2024-04-21T03:09:22.205921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 43
 
12.0%
사 42
 
11.8%
회 41
 
11.5%
영 13
 
3.6%
양 13
 
3.6%
암 10
 
2.8%
천 8
 
2.2%
성 8
 
2.2%
당 7
 
2.0%
정 7
 
2.0%
Other values (90) 165
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 354
99.2%
Space Separator 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 43
 
12.1%
사 42
 
11.9%
회 41
 
11.6%
영 13
 
3.7%
양 13
 
3.7%
암 10
 
2.8%
천 8
 
2.3%
성 8
 
2.3%
당 7
 
2.0%
정 7
 
2.0%
Other values (89) 162
45.8%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 354
99.2%
Common 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 43
 
12.1%
사 42
 
11.9%
회 41
 
11.6%
영 13
 
3.7%
양 13
 
3.7%
암 10
 
2.8%
천 8
 
2.3%
성 8
 
2.3%
당 7
 
2.0%
정 7
 
2.0%
Other values (89) 162
45.8%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 354
99.2%
ASCII 3
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 43
 
12.1%
사 42
 
11.9%
회 41
 
11.6%
영 13
 
3.7%
양 13
 
3.7%
암 10
 
2.8%
천 8
 
2.3%
성 8
 
2.3%
당 7
 
2.0%
정 7
 
2.0%
Other values (89) 162
45.8%
ASCII
ValueCountFrequency (%)
3
100.0%

주소
Text

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size848.0 B
2024-04-21T03:09:23.518859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19.5
Mean length16.222222
Min length14

Characters and Unicode

Total characters1460
Distinct characters114
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

Unique90 ?
Unique (%)100.0%

Sample

1st row영양군 영양읍 상원로 121-25
2nd row영양군 영양읍 연지길 102-77
3rd row영양군 영양읍 산성길 50
4th row영양군 영양읍 옥골1길 3-6
5th row영양군 영양읍 무네미길 109-14
ValueCountFrequency (%)
영양군 90
25.0%
영양읍 23
 
6.4%
일월면 20
 
5.6%
석보면 14
 
3.9%
입암면 13
 
3.6%
청기면 11
 
3.1%
수비면 9
 
2.5%
영양로 6
 
1.7%
한티로 3
 
0.8%
오리도곡로 3
 
0.8%
Other values (151) 168
46.7%
2024-04-21T03:09:24.866661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
271
18.6%
양 123
 
8.4%
영 122
 
8.4%
군 91
 
6.2%
면 67
 
4.6%
1 66
 
4.5%
길 56
 
3.8%
2 46
 
3.2%
- 44
 
3.0%
3 37
 
2.5%
Other values (104) 537
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 842
57.7%
Decimal Number 303
 
20.8%
Space Separator 271
 
18.6%
Dash Punctuation 44
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 123
14.6%
영 122
14.5%
군 91
 
10.8%
면 67
 
8.0%
길 56
 
6.7%
로 34
 
4.0%
읍 23
 
2.7%
일 21
 
2.5%
월 21
 
2.5%
석 17
 
2.0%
Other values (92) 267
31.7%
Decimal Number
ValueCountFrequency (%)
1 66
21.8%
2 46
15.2%
3 37
12.2%
6 29
9.6%
4 27
8.9%
5 24
 
7.9%
7 22
 
7.3%
8 19
 
6.3%
9 18
 
5.9%
0 15
 
5.0%
Space Separator
ValueCountFrequency (%)
271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 842
57.7%
Common 618
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 123
14.6%
영 122
14.5%
군 91
 
10.8%
면 67
 
8.0%
길 56
 
6.7%
로 34
 
4.0%
읍 23
 
2.7%
일 21
 
2.5%
월 21
 
2.5%
석 17
 
2.0%
Other values (92) 267
31.7%
Common
ValueCountFrequency (%)
271
43.9%
1 66
 
10.7%
2 46
 
7.4%
- 44
 
7.1%
3 37
 
6.0%
6 29
 
4.7%
4 27
 
4.4%
5 24
 
3.9%
7 22
 
3.6%
8 19
 
3.1%
Other values (2) 33
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 842
57.7%
ASCII 618
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
271
43.9%
1 66
 
10.7%
2 46
 
7.4%
- 44
 
7.1%
3 37
 
6.0%
6 29
 
4.7%
4 27
 
4.4%
5 24
 
3.9%
7 22
 
3.6%
8 19
 
3.1%
Other values (2) 33
 
5.3%
Hangul
ValueCountFrequency (%)
양 123
14.6%
영 122
14.5%
군 91
 
10.8%
면 67
 
8.0%
길 56
 
6.7%
로 34
 
4.0%
읍 23
 
2.7%
일 21
 
2.5%
월 21
 
2.5%
석 17
 
2.0%
Other values (92) 267
31.7%

전화번호
Text

Distinct74
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size848.0 B
2024-04-21T03:09:25.562726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.177778
Min length12

Characters and Unicode

Total characters1096
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

Unique72 ?
Unique (%)80.0%

Sample

1st row054-683-2941
2nd row054-683-2008
3rd row054-683-2879
4th row054-683-2795
5th row010-****-****
ValueCountFrequency (%)
010 16
 
17.8%
054-683-6426 2
 
2.2%
054-683-5231 1
 
1.1%
054-683-4710 1
 
1.1%
054-683-2941 1
 
1.1%
054-682-3841 1
 
1.1%
054-682-6711 1
 
1.1%
054-682-6719 1
 
1.1%
054-682-6689 1
 
1.1%
054-682-6150 1
 
1.1%
Other values (64) 64
71.1%
2024-04-21T03:09:26.496775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 180
16.4%
0 141
12.9%
* 128
11.7%
6 111
10.1%
8 105
9.6%
4 103
9.4%
5 95
8.7%
2 71
 
6.5%
3 64
 
5.8%
1 53
 
4.8%
Other values (2) 45
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 788
71.9%
Dash Punctuation 180
 
16.4%
Other Punctuation 128
 
11.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 141
17.9%
6 111
14.1%
8 105
13.3%
4 103
13.1%
5 95
12.1%
2 71
9.0%
3 64
8.1%
1 53
 
6.7%
9 23
 
2.9%
7 22
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%
Other Punctuation
ValueCountFrequency (%)
* 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1096
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 180
16.4%
0 141
12.9%
* 128
11.7%
6 111
10.1%
8 105
9.6%
4 103
9.4%
5 95
8.7%
2 71
 
6.5%
3 64
 
5.8%
1 53
 
4.8%
Other values (2) 45
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1096
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 180
16.4%
0 141
12.9%
* 128
11.7%
6 111
10.1%
8 105
9.6%
4 103
9.4%
5 95
8.7%
2 71
 
6.5%
3 64
 
5.8%
1 53
 
4.8%
Other values (2) 45
 
4.1%

종교구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size848.0 B
불교
45 
기독교
39 
천주교
 
4
기타종교
 
2

Length

Max length4
Median length3.5
Mean length2.5222222
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불교 45
50.0%
기독교 39
43.3%
천주교 4
 
4.4%
기타종교 2
 
2.2%

Length

2024-04-21T03:09:26.744132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:09:26.948235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불교 45
50.0%
기독교 39
43.3%
천주교 4
 
4.4%
기타종교 2
 
2.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size848.0 B
2023-08-01
90 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-01
2nd row2023-08-01
3rd row2023-08-01
4th row2023-08-01
5th row2023-08-01

Common Values

ValueCountFrequency (%)
2023-08-01 90
100.0%

Length

2024-04-21T03:09:27.141852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:09:27.308052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-01 90
100.0%

Interactions

2024-04-21T03:09:19.510176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:09:27.422455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명주소전화번호종교구분
연번1.0000.8691.0000.7190.850
시설명0.8691.0001.0000.9921.000
주소1.0001.0001.0001.0001.000
전화번호0.7190.9921.0001.0000.976
종교구분0.8501.0001.0000.9761.000
2024-04-21T03:09:27.580639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교구분
연번1.0000.673
종교구분0.6731.000

Missing values

2024-04-21T03:09:19.686944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:09:19.867792image/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

연번시설명주소전화번호종교구분데이터기준일자
01용주사영양군 영양읍 상원로 121-25054-683-2941불교2023-08-01
12연대암영양군 영양읍 연지길 102-77054-683-2008불교2023-08-01
23무량사영양군 영양읍 산성길 50054-683-2879불교2023-08-01
34영양교당영양군 영양읍 옥골1길 3-6054-683-2795불교2023-08-01
45관음정사영양군 영양읍 무네미길 109-14010-****-****불교2023-08-01
56영성사영양군 영양읍 양평길 53054-683-6789불교2023-08-01
67월삼사영양군 영양읍 팔수로 501054-683-3586불교2023-08-01
78용화사영양군 영양읍 팔수로 429054-683-3066불교2023-08-01
89관음사영양군 영양읍 동부동산길 11-13010-****-****불교2023-08-01
910천문사영양군 입암면 방전2길 26010-****-****불교2023-08-01
연번시설명주소전화번호종교구분데이터기준일자
8081가구교회영양군 석보면 가구길 51054-682-8150기독교2023-08-01
8182목양교회영양군 석보면 석보로 1191054-682-2067기독교2023-08-01
8283요원교회영양군 석보면 원요로 686-8054-683-5084기독교2023-08-01
8384신평교회영양군 석보면 건들길 7-6054-682-8684기독교2023-08-01
8485영양성당영양군 영양읍 영양창수로 35-1054-683-2105천주교2023-08-01
8586영양성당 입암공소영양군 입암면 입암로 64-10054-682-8043천주교2023-08-01
8687영양성당 청기공소영양군 청기면 청기2길 8-13054-682-7982천주교2023-08-01
8788영양성당 석보공소영양군 석보면 원리길 28-4054-682-0983천주교2023-08-01
8889영양가정교회영양군 영양읍 팔수로 529054-682-6510기타종교2023-08-01
8990제칠일안식일예수재림교회영양군 영양읍 서북새길 1-5054-682-7001기타종교2023-08-01