Overview

Dataset statistics

Number of variables7
Number of observations171
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory57.8 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description봉화군 종교시설 현황 데이터로 봉화군 관내(봉화읍, 물야면, 봉성면, 법전면, 춘양면, 소천면, 석포면, 재산면, 상운면) 기독교, 불교, 천주교 현황을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15117807/fileData.do

Alerts

데이터기준일 has constant value ""Constant
순번 is highly overall correlated with 종교구분High correlation
종교구분 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:33:30.364514
Analysis finished2023-12-12 01:33:31.073425
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86
Minimum1
Maximum171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T10:33:31.137856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.5
Q143.5
median86
Q3128.5
95-th percentile162.5
Maximum171
Range170
Interquartile range (IQR)85

Descriptive statistics

Standard deviation49.507575
Coefficient of variation (CV)0.57566948
Kurtosis-1.2
Mean86
Median Absolute Deviation (MAD)43
Skewness0
Sum14706
Variance2451
MonotonicityStrictly increasing
2023-12-12T10:33:31.275039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
119 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
Other values (161) 161
94.2%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%

시설명
Text

Distinct163
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T10:33:31.531736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.128655
Min length3

Characters and Unicode

Total characters706
Distinct characters162
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)90.6%

Sample

1st row제일교회
2nd row중앙교회
3rd row적덕교회
4th row문단교회
5th row화천교회
ValueCountFrequency (%)
안식교회 3
 
1.7%
제일교회 2
 
1.1%
문수암 2
 
1.1%
물야 2
 
1.1%
약수암 2
 
1.1%
중앙교회 2
 
1.1%
춘양 2
 
1.1%
법전교회 2
 
1.1%
중대사 2
 
1.1%
대각사 2
 
1.1%
Other values (158) 159
88.3%
2023-12-12T10:33:31.974699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 84
 
11.9%
회 82
 
11.6%
사 60
 
8.5%
암 23
 
3.3%
봉 18
 
2.5%
화 15
 
2.1%
천 15
 
2.1%
성 12
 
1.7%
수 11
 
1.6%
산 10
 
1.4%
Other values (152) 376
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 694
98.3%
Space Separator 9
 
1.3%
Decimal Number 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 84
 
12.1%
회 82
 
11.8%
사 60
 
8.6%
암 23
 
3.3%
봉 18
 
2.6%
화 15
 
2.2%
천 15
 
2.2%
성 12
 
1.7%
수 11
 
1.6%
산 10
 
1.4%
Other values (148) 364
52.4%
Space Separator
ValueCountFrequency (%)
9
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 694
98.3%
Common 12
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 84
 
12.1%
회 82
 
11.8%
사 60
 
8.6%
암 23
 
3.3%
봉 18
 
2.6%
화 15
 
2.2%
천 15
 
2.2%
성 12
 
1.7%
수 11
 
1.6%
산 10
 
1.4%
Other values (148) 364
52.4%
Common
ValueCountFrequency (%)
9
75.0%
7 1
 
8.3%
) 1
 
8.3%
( 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 694
98.3%
ASCII 12
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 84
 
12.1%
회 82
 
11.8%
사 60
 
8.6%
암 23
 
3.3%
봉 18
 
2.6%
화 15
 
2.2%
천 15
 
2.2%
성 12
 
1.7%
수 11
 
1.6%
산 10
 
1.4%
Other values (148) 364
52.4%
ASCII
ValueCountFrequency (%)
9
75.0%
7 1
 
8.3%
) 1
 
8.3%
( 1
 
8.3%

지번주소
Text

Distinct168
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T10:33:32.376104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.134503
Min length16

Characters and Unicode

Total characters3272
Distinct characters98
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

Unique166 ?
Unique (%)97.1%

Sample

1st row경북 봉화군 봉화읍 내성리 302-1
2nd row경북 봉화군 봉화읍 내성리 408-5
3rd row경북 봉화군 봉화읍 적덕리 891-5
4th row경북 봉화군 봉화읍 문단리 산 70-3
5th row경북 봉화군 봉화읍 화천리 380-2
ValueCountFrequency (%)
경북 171
19.8%
봉화군 171
19.8%
소천면 27
 
3.1%
봉화읍 24
 
2.8%
물야면 23
 
2.7%
춘양면 22
 
2.5%
상운면 16
 
1.8%
봉성면 15
 
1.7%
석포면 13
 
1.5%
재산면 13
 
1.5%
Other values (229) 370
42.8%
2023-12-12T10:33:32.943046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
694
21.2%
봉 216
 
6.6%
화 196
 
6.0%
북 177
 
5.4%
경 171
 
5.2%
리 171
 
5.2%
군 171
 
5.2%
면 151
 
4.6%
1 116
 
3.5%
- 96
 
2.9%
Other values (88) 1113
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1893
57.9%
Space Separator 694
 
21.2%
Decimal Number 589
 
18.0%
Dash Punctuation 96
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 216
11.4%
화 196
 
10.4%
북 177
 
9.4%
경 171
 
9.0%
리 171
 
9.0%
군 171
 
9.0%
면 151
 
8.0%
천 40
 
2.1%
산 31
 
1.6%
양 30
 
1.6%
Other values (76) 539
28.5%
Decimal Number
ValueCountFrequency (%)
1 116
19.7%
2 78
13.2%
3 69
11.7%
4 62
10.5%
5 61
10.4%
6 52
8.8%
7 43
 
7.3%
9 41
 
7.0%
8 41
 
7.0%
0 26
 
4.4%
Space Separator
ValueCountFrequency (%)
694
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1893
57.9%
Common 1379
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 216
11.4%
화 196
 
10.4%
북 177
 
9.4%
경 171
 
9.0%
리 171
 
9.0%
군 171
 
9.0%
면 151
 
8.0%
천 40
 
2.1%
산 31
 
1.6%
양 30
 
1.6%
Other values (76) 539
28.5%
Common
ValueCountFrequency (%)
694
50.3%
1 116
 
8.4%
- 96
 
7.0%
2 78
 
5.7%
3 69
 
5.0%
4 62
 
4.5%
5 61
 
4.4%
6 52
 
3.8%
7 43
 
3.1%
9 41
 
3.0%
Other values (2) 67
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1893
57.9%
ASCII 1379
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
694
50.3%
1 116
 
8.4%
- 96
 
7.0%
2 78
 
5.7%
3 69
 
5.0%
4 62
 
4.5%
5 61
 
4.4%
6 52
 
3.8%
7 43
 
3.1%
9 41
 
3.0%
Other values (2) 67
 
4.9%
Hangul
ValueCountFrequency (%)
봉 216
11.4%
화 196
 
10.4%
북 177
 
9.4%
경 171
 
9.0%
리 171
 
9.0%
군 171
 
9.0%
면 151
 
8.0%
천 40
 
2.1%
산 31
 
1.6%
양 30
 
1.6%
Other values (76) 539
28.5%

도로명주소
Text

Distinct168
Distinct (%)98.8%
Missing1
Missing (%)0.6%
Memory size1.5 KiB
2023-12-12T10:33:33.271200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19.158824
Min length10

Characters and Unicode

Total characters3257
Distinct characters160
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

Unique166 ?
Unique (%)97.6%

Sample

1st row경북 봉화군 봉화읍 내성로6길 14
2nd row경북 봉화군 봉화읍 내성천2길 9
3rd row경북 봉화군 봉화읍 봉화로 642
4th row경북 봉화군 봉화읍 배진기길 5
5th row경북 봉화군 봉화읍 몽화각길 2
ValueCountFrequency (%)
경북 158
19.2%
봉화군 158
19.2%
소천면 27
 
3.3%
봉화읍 24
 
2.9%
물야면 23
 
2.8%
춘양면 22
 
2.7%
상운면 16
 
1.9%
봉성면 15
 
1.8%
석포면 13
 
1.6%
재산면 13
 
1.6%
Other values (276) 355
43.1%
2023-12-12T10:33:33.778385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
654
20.1%
봉 210
 
6.4%
화 186
 
5.7%
군 159
 
4.9%
경 158
 
4.9%
북 158
 
4.9%
면 146
 
4.5%
1 140
 
4.3%
길 108
 
3.3%
2 93
 
2.9%
Other values (150) 1245
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1865
57.3%
Space Separator 654
 
20.1%
Decimal Number 647
 
19.9%
Dash Punctuation 91
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 210
 
11.3%
화 186
 
10.0%
군 159
 
8.5%
경 158
 
8.5%
북 158
 
8.5%
면 146
 
7.8%
길 108
 
5.8%
로 69
 
3.7%
천 36
 
1.9%
소 33
 
1.8%
Other values (138) 602
32.3%
Decimal Number
ValueCountFrequency (%)
1 140
21.6%
2 93
14.4%
3 77
11.9%
4 60
9.3%
6 56
 
8.7%
9 52
 
8.0%
5 47
 
7.3%
7 46
 
7.1%
8 39
 
6.0%
0 37
 
5.7%
Space Separator
ValueCountFrequency (%)
654
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1865
57.3%
Common 1392
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 210
 
11.3%
화 186
 
10.0%
군 159
 
8.5%
경 158
 
8.5%
북 158
 
8.5%
면 146
 
7.8%
길 108
 
5.8%
로 69
 
3.7%
천 36
 
1.9%
소 33
 
1.8%
Other values (138) 602
32.3%
Common
ValueCountFrequency (%)
654
47.0%
1 140
 
10.1%
2 93
 
6.7%
- 91
 
6.5%
3 77
 
5.5%
4 60
 
4.3%
6 56
 
4.0%
9 52
 
3.7%
5 47
 
3.4%
7 46
 
3.3%
Other values (2) 76
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1865
57.3%
ASCII 1392
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
654
47.0%
1 140
 
10.1%
2 93
 
6.7%
- 91
 
6.5%
3 77
 
5.5%
4 60
 
4.3%
6 56
 
4.0%
9 52
 
3.7%
5 47
 
3.4%
7 46
 
3.3%
Other values (2) 76
 
5.5%
Hangul
ValueCountFrequency (%)
봉 210
 
11.3%
화 186
 
10.0%
군 159
 
8.5%
경 158
 
8.5%
북 158
 
8.5%
면 146
 
7.8%
길 108
 
5.8%
로 69
 
3.7%
천 36
 
1.9%
소 33
 
1.8%
Other values (138) 602
32.3%

전화번호
Text

Distinct122
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T10:33:34.036548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12.409357
Min length12

Characters and Unicode

Total characters2122
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)70.2%

Sample

1st row054-673-9191
2nd row054-672-6250
3rd row054-672-0339
4th row054-673-5668
5th row054-672-0264
ValueCountFrequency (%)
010 49
28.5%
054-672-6675 2
 
1.2%
054-674-0366 1
 
0.6%
054-672-1782 1
 
0.6%
054-673-2243 1
 
0.6%
054-673-5408 1
 
0.6%
054-672-2980 1
 
0.6%
054-672-4067 1
 
0.6%
054-673-2349 1
 
0.6%
054-672-3756 1
 
0.6%
Other values (113) 113
65.7%
2023-12-12T10:33:34.421647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 392
18.5%
- 345
16.3%
0 269
12.7%
4 188
8.9%
6 182
8.6%
7 176
8.3%
5 171
8.1%
2 125
 
5.9%
1 96
 
4.5%
3 88
 
4.1%
Other values (4) 90
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1381
65.1%
Other Punctuation 393
 
18.5%
Dash Punctuation 345
 
16.3%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 269
19.5%
4 188
13.6%
6 182
13.2%
7 176
12.7%
5 171
12.4%
2 125
9.1%
1 96
 
7.0%
3 88
 
6.4%
9 48
 
3.5%
8 38
 
2.8%
Other Punctuation
ValueCountFrequency (%)
* 392
99.7%
, 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 345
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2122
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 392
18.5%
- 345
16.3%
0 269
12.7%
4 188
8.9%
6 182
8.6%
7 176
8.3%
5 171
8.1%
2 125
 
5.9%
1 96
 
4.5%
3 88
 
4.1%
Other values (4) 90
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 392
18.5%
- 345
16.3%
0 269
12.7%
4 188
8.9%
6 182
8.6%
7 176
8.3%
5 171
8.1%
2 125
 
5.9%
1 96
 
4.5%
3 88
 
4.1%
Other values (4) 90
 
4.2%

종교구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
불교
87 
기독교
78 
천주교
 
6

Length

Max length3
Median length2
Mean length2.4912281
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불교 87
50.9%
기독교 78
45.6%
천주교 6
 
3.5%

Length

2023-12-12T10:33:34.867944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:33:35.008538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불교 87
50.9%
기독교 78
45.6%
천주교 6
 
3.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-04
171 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-04
2nd row2023-08-04
3rd row2023-08-04
4th row2023-08-04
5th row2023-08-04

Common Values

ValueCountFrequency (%)
2023-08-04 171
100.0%

Length

2023-12-12T10:33:35.139222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:33:35.266418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-04 171
100.0%

Interactions

2023-12-12T10:33:30.683797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:33:35.343396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종교구분
순번1.0000.847
종교구분0.8471.000
2023-12-12T10:33:35.457959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종교구분
순번1.0000.746
종교구분0.7461.000

Missing values

2023-12-12T10:33:30.872566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:33:31.029043image/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

순번시설명지번주소도로명주소전화번호종교구분데이터기준일
01제일교회경북 봉화군 봉화읍 내성리 302-1경북 봉화군 봉화읍 내성로6길 14054-673-9191기독교2023-08-04
12중앙교회경북 봉화군 봉화읍 내성리 408-5경북 봉화군 봉화읍 내성천2길 9054-672-6250기독교2023-08-04
23적덕교회경북 봉화군 봉화읍 적덕리 891-5경북 봉화군 봉화읍 봉화로 642054-672-0339기독교2023-08-04
34문단교회경북 봉화군 봉화읍 문단리 산 70-3경북 봉화군 봉화읍 배진기길 5054-673-5668기독교2023-08-04
45화천교회경북 봉화군 봉화읍 화천리 380-2경북 봉화군 봉화읍 몽화각길 2054-672-0264기독교2023-08-04
56유곡교회경북 봉화군 봉화읍 유곡리 281-1경북 봉화군 봉화읍 봉명로 14054-672-8759기독교2023-08-04
67봉화교회경북 봉화군 봉화읍 내성리 183-6경북 봉화군 봉화읍 교촌길 60054-672-2198기독교2023-08-04
78평강교회경북 봉화군 봉화읍 유곡리 1326-71경북 봉화군 봉화읍 탑평길 26-93054-673-7177기독교2023-08-04
89거촌교회경북 봉화군 봉화읍 유곡리 1145경북 봉화군 봉화읍 거촌로 250054-672-7091기독교2023-08-04
910봉화농아인교회경북 봉화군 봉화읍 내성리 334경북 봉화군 봉화읍 거촌로 53054-672-3669기독교2023-08-04
순번시설명지번주소도로명주소전화번호종교구분데이터기준일
161162천룡사경북 봉화군 상운면 하눌리 872경북 봉화군 상운면 예봉로 1606-33010-****-****불교2023-08-04
162163관음사경북 봉화군 상운면 하눌리 528-3경북 봉화군 상운면 하눌로 163-39054-672-5711불교2023-08-04
163164약사암경북 봉화군 상운면 설매리 635경북 봉화군 상운면 설매2길15-34010-****-****불교2023-08-04
164165약천사경북 봉화군 상운면 문촌리 148경북 봉화군 상운면 신라길 401010-****-****불교2023-08-04
165166봉화천주교회경북 봉화군 봉화읍 내성리 32-1경북 봉화군 봉화읍 내성로6길 22-27054-674-1784천주교2023-08-04
166167우곡성지사제관경북 봉화군 봉성면 우곡리 151-2경북 봉화군 봉성면 시거리길 397054-673-4152천주교2023-08-04
167168춘양 천주교회경북 봉화군 춘양면 의양리 258-2경북 봉화군 춘양면 현마1길 35054-672-1782천주교2023-08-04
168169봉화천주교두음공소경북 봉화군 소천면 두음리 607-2경북 봉화군 소천면 두음길 97-19054-674-0205천주교2023-08-04
169170장성성당 석포공소경북 봉화군 석포면 석포리 437경북 봉화군 석포면 반야길 5010-****-****천주교2023-08-04
170171재산천주교회 봉화본당 재산공소경북 봉화군 재산면 현동리 663-6경북 봉화군 재산면 재산로 513-10010-****-****천주교2023-08-04