Overview

Dataset statistics

Number of variables4
Number of observations137
Missing cells45
Missing cells (%)8.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory33.0 B

Variable types

Text3
Categorical1

Dataset

Description경상북도 영덕군의 관내의 종교시설에 대한 종교시설명, 소재지, 연락처 그리고 종교를 구분(기독교, 사찰 등) 하여 표시하여 제공합니다.
URLhttps://www.data.go.kr/data/15117529/fileData.do

Alerts

전화번호 has 45 (32.8%) missing valuesMissing
주소(소재지) has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:23:11.434722
Analysis finished2023-12-12 13:23:11.867533
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct133
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:23:12.117334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length4.5036496
Min length3

Characters and Unicode

Total characters617
Distinct characters152
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)94.2%

Sample

1st row대탄갈릴리교회
2nd row창포교회
3rd row오보교회
4th row오보평강교회
5th row석동교회
ValueCountFrequency (%)
법륜사 2
 
1.5%
용운사 2
 
1.5%
무량사 2
 
1.5%
대흥사 2
 
1.5%
금미사 1
 
0.7%
jw왕국회관 1
 
0.7%
대한예수교침례회영덕교회 1
 
0.7%
서남사 1
 
0.7%
명삼사 1
 
0.7%
숭덕사 1
 
0.7%
Other values (123) 123
89.8%
2023-12-12T22:23:12.643406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 86
 
13.9%
교 84
 
13.6%
사 53
 
8.6%
영 23
 
3.7%
덕 14
 
2.3%
구 12
 
1.9%
해 11
 
1.8%
원 10
 
1.6%
성 10
 
1.6%
천 8
 
1.3%
Other values (142) 306
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 611
99.0%
Uppercase Letter 5
 
0.8%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 86
 
14.1%
교 84
 
13.7%
사 53
 
8.7%
영 23
 
3.8%
덕 14
 
2.3%
구 12
 
2.0%
해 11
 
1.8%
원 10
 
1.6%
성 10
 
1.6%
천 8
 
1.3%
Other values (136) 300
49.1%
Uppercase Letter
ValueCountFrequency (%)
W 1
20.0%
J 1
20.0%
S 1
20.0%
I 1
20.0%
G 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 611
99.0%
Latin 6
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 86
 
14.1%
교 84
 
13.7%
사 53
 
8.7%
영 23
 
3.8%
덕 14
 
2.3%
구 12
 
2.0%
해 11
 
1.8%
원 10
 
1.6%
성 10
 
1.6%
천 8
 
1.3%
Other values (136) 300
49.1%
Latin
ValueCountFrequency (%)
W 1
16.7%
J 1
16.7%
S 1
16.7%
I 1
16.7%
G 1
16.7%
k 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 611
99.0%
ASCII 6
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 86
 
14.1%
교 84
 
13.7%
사 53
 
8.7%
영 23
 
3.8%
덕 14
 
2.3%
구 12
 
2.0%
해 11
 
1.8%
원 10
 
1.6%
성 10
 
1.6%
천 8
 
1.3%
Other values (136) 300
49.1%
ASCII
ValueCountFrequency (%)
W 1
16.7%
J 1
16.7%
S 1
16.7%
I 1
16.7%
G 1
16.7%
k 1
16.7%

주소(소재지)
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:23:13.065176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.605839
Min length10

Characters and Unicode

Total characters2549
Distinct characters124
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

Unique137 ?
Unique (%)100.0%

Sample

1st row경북 영덕군 영덕읍 대탄길 14-3
2nd row경북 영덕군 영덕읍 영덕대게로 735-2
3rd row경북 영덕군 영덕읍 영덕대게로 1213-4
4th row경북 영덕군 영덕읍 매정길 351
5th row경북 영덕군 영덕읍 석동1길 10-13
ValueCountFrequency (%)
영덕군 137
21.9%
경북 84
 
13.4%
영덕읍 33
 
5.3%
영해면 21
 
3.4%
강구면 19
 
3.0%
지품면 13
 
2.1%
창수면 11
 
1.8%
병곡면 11
 
1.8%
축산면 11
 
1.8%
달산면 8
 
1.3%
Other values (238) 277
44.3%
2023-12-12T22:23:13.712854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
534
20.9%
영 211
 
8.3%
덕 184
 
7.2%
군 139
 
5.5%
1 120
 
4.7%
면 103
 
4.0%
길 94
 
3.7%
경 88
 
3.5%
북 84
 
3.3%
- 77
 
3.0%
Other values (114) 915
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1451
56.9%
Space Separator 534
 
20.9%
Decimal Number 486
 
19.1%
Dash Punctuation 77
 
3.0%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 211
14.5%
덕 184
12.7%
군 139
 
9.6%
면 103
 
7.1%
길 94
 
6.5%
경 88
 
6.1%
북 84
 
5.8%
산 33
 
2.3%
읍 33
 
2.3%
로 27
 
1.9%
Other values (101) 455
31.4%
Decimal Number
ValueCountFrequency (%)
1 120
24.7%
3 69
14.2%
2 64
13.2%
4 58
11.9%
9 34
 
7.0%
5 32
 
6.6%
6 32
 
6.6%
0 26
 
5.3%
7 26
 
5.3%
8 25
 
5.1%
Space Separator
ValueCountFrequency (%)
534
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1451
56.9%
Common 1098
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 211
14.5%
덕 184
12.7%
군 139
 
9.6%
면 103
 
7.1%
길 94
 
6.5%
경 88
 
6.1%
북 84
 
5.8%
산 33
 
2.3%
읍 33
 
2.3%
로 27
 
1.9%
Other values (101) 455
31.4%
Common
ValueCountFrequency (%)
534
48.6%
1 120
 
10.9%
- 77
 
7.0%
3 69
 
6.3%
2 64
 
5.8%
4 58
 
5.3%
9 34
 
3.1%
5 32
 
2.9%
6 32
 
2.9%
0 26
 
2.4%
Other values (3) 52
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1451
56.9%
ASCII 1098
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
534
48.6%
1 120
 
10.9%
- 77
 
7.0%
3 69
 
6.3%
2 64
 
5.8%
4 58
 
5.3%
9 34
 
3.1%
5 32
 
2.9%
6 32
 
2.9%
0 26
 
2.4%
Other values (3) 52
 
4.7%
Hangul
ValueCountFrequency (%)
영 211
14.5%
덕 184
12.7%
군 139
 
9.6%
면 103
 
7.1%
길 94
 
6.5%
경 88
 
6.1%
북 84
 
5.8%
산 33
 
2.3%
읍 33
 
2.3%
로 27
 
1.9%
Other values (101) 455
31.4%

전화번호
Text

MISSING 

Distinct92
Distinct (%)100.0%
Missing45
Missing (%)32.8%
Memory size1.2 KiB
2023-12-12T22:23:14.034511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.032609
Min length12

Characters and Unicode

Total characters1107
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

Unique92 ?
Unique (%)100.0%

Sample

1st row054-732-7321
2nd row054-732-8791
3rd row054-732-7119
4th row054-733-9091
5th row054-733-6804
ValueCountFrequency (%)
054-732-9891 1
 
1.1%
054-733-1620 1
 
1.1%
054-732-6610 1
 
1.1%
054-733-0203 1
 
1.1%
054-734-2487 1
 
1.1%
054-734-4885 1
 
1.1%
054-734-1180 1
 
1.1%
054-733-4103 1
 
1.1%
054-733-4003 1
 
1.1%
054-734-5880 1
 
1.1%
Other values (82) 82
89.1%
2023-12-12T22:23:14.500607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 184
16.6%
3 151
13.6%
4 139
12.6%
0 138
12.5%
7 127
11.5%
5 122
11.0%
2 92
8.3%
8 50
 
4.5%
1 43
 
3.9%
6 31
 
2.8%
Other values (2) 30
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 922
83.3%
Dash Punctuation 184
 
16.6%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 151
16.4%
4 139
15.1%
0 138
15.0%
7 127
13.8%
5 122
13.2%
2 92
10.0%
8 50
 
5.4%
1 43
 
4.7%
6 31
 
3.4%
9 29
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 184
16.6%
3 151
13.6%
4 139
12.6%
0 138
12.5%
7 127
11.5%
5 122
11.0%
2 92
8.3%
8 50
 
4.5%
1 43
 
3.9%
6 31
 
2.8%
Other values (2) 30
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 184
16.6%
3 151
13.6%
4 139
12.6%
0 138
12.5%
7 127
11.5%
5 122
11.0%
2 92
8.3%
8 50
 
4.5%
1 43
 
3.9%
6 31
 
2.8%
Other values (2) 30
 
2.7%

종교구분
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
기독교
78 
사찰
50 
종교시설
 
6
천주교
 
3

Length

Max length4
Median length3
Mean length2.6788321
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 78
56.9%
사찰 50
36.5%
종교시설 6
 
4.4%
천주교 3
 
2.2%

Length

2023-12-12T22:23:14.682694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:23:14.840307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 78
56.9%
사찰 50
36.5%
종교시설 6
 
4.4%
천주교 3
 
2.2%

Correlations

2023-12-12T22:23:14.930588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호종교구분
전화번호1.0001.000
종교구분1.0001.000

Missing values

2023-12-12T22:23:11.727193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:23:11.827525image/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

시설명주소(소재지)전화번호종교구분
0대탄갈릴리교회경북 영덕군 영덕읍 대탄길 14-3054-732-7321기독교
1창포교회경북 영덕군 영덕읍 영덕대게로 735-2054-732-8791기독교
2오보교회경북 영덕군 영덕읍 영덕대게로 1213-4054-732-7119기독교
3오보평강교회경북 영덕군 영덕읍 매정길 351054-733-9091기독교
4석동교회경북 영덕군 영덕읍 석동1길 10-13054-733-6804기독교
5노물반석교회경북 영덕군 영덕대게로 1283054-732-7186기독교
6영덕구세군교회경북 영덕군 영덕읍 군청길 127-7054-734-9390기독교
7영덕제일교회경북 영덕군 영덕읍 영덕로 129<NA>기독교
8영덕교회경북 영덕군 영덕읍 덕곡천길 60054-733-7352기독교
9화천교회경북 영덕군 영덕읍 화천1길 10054-732-4673기독교
시설명주소(소재지)전화번호종교구분
127장육사영덕군 창수면 장육사1길 172054-732-6289사찰
128무량사영덕군 지품면 기사길 224<NA>사찰
129영탑사영덕군 지품면 눌곡리 123-3번지<NA>사찰
130대흥사영덕군 지품면 기사리 465-3<NA>사찰
131용운사영덕군 지품면 경동로 6898054-732-3379사찰
132청련사영덕군 달산면 청련길 273번지<NA>사찰
133만국사영덕군 달산면 용평길144-12054-733-2259사찰
134옥천사영덕군 달산면 주응1길8-77054-732-3888사찰
135해암사영덕군 달산면 대지1길 39-14<NA>사찰
136용암사영덕군 달산면 용전리 424-4<NA>사찰