Overview

Dataset statistics

Number of variables4
Number of observations112
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory33.2 B

Variable types

Text4

Dataset

Description칠곡군 관내 석면조사대상 건축물 현황
Author경상북도 칠곡군
URLhttps://www.data.go.kr/data/3073551/fileData.do

Alerts

인허가관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:41:56.157073
Analysis finished2023-12-12 04:41:56.549372
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인허가관리번호
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T13:41:56.674569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters2352
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

Unique112 ?
Unique (%)100.0%

Sample

1st row5220000-98-2012-00001
2nd row5220000-98-2012-00002
3rd row5220000-98-2012-00003
4th row5220000-98-2012-00004
5th row5220000-98-2012-00005
ValueCountFrequency (%)
5220000-98-2012-00001 1
 
0.9%
5220000-98-2012-00002 1
 
0.9%
5220000-98-2014-00006 1
 
0.9%
5220000-98-2014-00005 1
 
0.9%
5220000-98-2014-00004 1
 
0.9%
5220000-98-2014-00003 1
 
0.9%
5220000-98-2014-00002 1
 
0.9%
5220000-98-2014-00001 1
 
0.9%
5220000-98-2013-00052 1
 
0.9%
5220000-98-2013-00051 1
 
0.9%
Other values (102) 102
91.1%
2023-12-12T13:41:56.987245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 933
39.7%
2 400
17.0%
- 336
 
14.3%
1 155
 
6.6%
5 127
 
5.4%
9 122
 
5.2%
8 122
 
5.2%
3 79
 
3.4%
4 57
 
2.4%
6 11
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
85.7%
Dash Punctuation 336
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 933
46.3%
2 400
19.8%
1 155
 
7.7%
5 127
 
6.3%
9 122
 
6.1%
8 122
 
6.1%
3 79
 
3.9%
4 57
 
2.8%
6 11
 
0.5%
7 10
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2352
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 933
39.7%
2 400
17.0%
- 336
 
14.3%
1 155
 
6.6%
5 127
 
5.4%
9 122
 
5.2%
8 122
 
5.2%
3 79
 
3.4%
4 57
 
2.4%
6 11
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 933
39.7%
2 400
17.0%
- 336
 
14.3%
1 155
 
6.6%
5 127
 
5.4%
9 122
 
5.2%
8 122
 
5.2%
3 79
 
3.4%
4 57
 
2.4%
6 11
 
0.5%

건물명
Text

Distinct111
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T13:41:57.215297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.2946429
Min length3

Characters and Unicode

Total characters929
Distinct characters200
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)98.2%

Sample

1st row아이캔몬테소리어린이집
2nd row천재어린이집
3rd row키즈스쿨어린이집
4th row칠곡군소망어린이집
5th row칠곡군행복어린이집
ValueCountFrequency (%)
한국철도시설공단 2
 
1.8%
칠곡소방서금산119안전센터 1
 
0.9%
왜관역제1여객홈지붕 1
 
0.9%
북삼평생학습복지센터 1
 
0.9%
왜관역제2여객홈지붕 1
 
0.9%
신동역제1여객홈지붕 1
 
0.9%
신동역제2여객홈지붕 1
 
0.9%
지천구분소 1
 
0.9%
주)대현하이웨이동명하휴게소 1
 
0.9%
주)대현하이웨이동명상휴게소 1
 
0.9%
Other values (102) 102
90.3%
2023-12-12T13:41:57.677115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
칠 38
 
4.1%
곡 38
 
4.1%
소 34
 
3.7%
이 33
 
3.6%
어 27
 
2.9%
집 27
 
2.9%
린 26
 
2.8%
지 25
 
2.7%
사 25
 
2.7%
관 19
 
2.0%
Other values (190) 637
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 883
95.0%
Decimal Number 14
 
1.5%
Open Punctuation 13
 
1.4%
Close Punctuation 11
 
1.2%
Uppercase Letter 7
 
0.8%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
칠 38
 
4.3%
곡 38
 
4.3%
소 34
 
3.9%
이 33
 
3.7%
어 27
 
3.1%
집 27
 
3.1%
린 26
 
2.9%
지 25
 
2.8%
사 25
 
2.8%
관 19
 
2.2%
Other values (180) 591
66.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
42.9%
B 2
28.6%
D 1
 
14.3%
C 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
1 8
57.1%
2 3
 
21.4%
9 3
 
21.4%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 883
95.0%
Common 39
 
4.2%
Latin 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
칠 38
 
4.3%
곡 38
 
4.3%
소 34
 
3.9%
이 33
 
3.7%
어 27
 
3.1%
집 27
 
3.1%
린 26
 
2.9%
지 25
 
2.8%
사 25
 
2.8%
관 19
 
2.2%
Other values (180) 591
66.9%
Common
ValueCountFrequency (%)
( 13
33.3%
) 11
28.2%
1 8
20.5%
2 3
 
7.7%
9 3
 
7.7%
1
 
2.6%
Latin
ValueCountFrequency (%)
A 3
42.9%
B 2
28.6%
D 1
 
14.3%
C 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 883
95.0%
ASCII 46
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
칠 38
 
4.3%
곡 38
 
4.3%
소 34
 
3.9%
이 33
 
3.7%
어 27
 
3.1%
집 27
 
3.1%
린 26
 
2.9%
지 25
 
2.8%
사 25
 
2.8%
관 19
 
2.2%
Other values (180) 591
66.9%
ASCII
ValueCountFrequency (%)
( 13
28.3%
) 11
23.9%
1 8
17.4%
2 3
 
6.5%
9 3
 
6.5%
A 3
 
6.5%
B 2
 
4.3%
1
 
2.2%
D 1
 
2.2%
C 1
 
2.2%

건물주소(도로명)
Text

Distinct101
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T13:41:58.085080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length37
Mean length21.285714
Min length1

Characters and Unicode

Total characters2384
Distinct characters94
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)82.1%

Sample

1st row경상북도 칠곡군 왜관읍 평장2길 65
2nd row경상북도 칠곡군 왜관읍 석전로1길 25
3rd row경상북도 칠곡군 북삼읍 인평9길 8
4th row경상북도 칠곡군 왜관읍 공단로4길 18-16
5th row경상북도 칠곡군 왜관읍 평장7길 5
ValueCountFrequency (%)
경상북도 111
20.0%
칠곡군 110
19.8%
왜관읍 50
 
9.0%
석적읍 12
 
2.2%
북삼읍 11
 
2.0%
지천면 10
 
1.8%
약목면 10
 
1.8%
가산면 7
 
1.3%
칠곡대로 6
 
1.1%
기산면 5
 
0.9%
Other values (162) 224
40.3%
2023-12-12T13:41:58.638507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
448
18.8%
북 128
 
5.4%
곡 125
 
5.2%
칠 121
 
5.1%
도 119
 
5.0%
경 116
 
4.9%
상 114
 
4.8%
군 113
 
4.7%
1 100
 
4.2%
읍 73
 
3.1%
Other values (84) 927
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1534
64.3%
Space Separator 448
 
18.8%
Decimal Number 372
 
15.6%
Dash Punctuation 20
 
0.8%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 128
 
8.3%
곡 125
 
8.1%
칠 121
 
7.9%
도 119
 
7.8%
경 116
 
7.6%
상 114
 
7.4%
군 113
 
7.4%
읍 73
 
4.8%
길 68
 
4.4%
로 65
 
4.2%
Other values (70) 492
32.1%
Decimal Number
ValueCountFrequency (%)
1 100
26.9%
2 39
 
10.5%
5 38
 
10.2%
4 34
 
9.1%
3 31
 
8.3%
0 30
 
8.1%
7 28
 
7.5%
6 27
 
7.3%
8 27
 
7.3%
9 18
 
4.8%
Space Separator
ValueCountFrequency (%)
448
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1534
64.3%
Common 850
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 128
 
8.3%
곡 125
 
8.1%
칠 121
 
7.9%
도 119
 
7.8%
경 116
 
7.6%
상 114
 
7.4%
군 113
 
7.4%
읍 73
 
4.8%
길 68
 
4.4%
로 65
 
4.2%
Other values (70) 492
32.1%
Common
ValueCountFrequency (%)
448
52.7%
1 100
 
11.8%
2 39
 
4.6%
5 38
 
4.5%
4 34
 
4.0%
3 31
 
3.6%
0 30
 
3.5%
7 28
 
3.3%
6 27
 
3.2%
8 27
 
3.2%
Other values (4) 48
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1534
64.3%
ASCII 850
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
448
52.7%
1 100
 
11.8%
2 39
 
4.6%
5 38
 
4.5%
4 34
 
4.0%
3 31
 
3.6%
0 30
 
3.5%
7 28
 
3.3%
6 27
 
3.2%
8 27
 
3.2%
Other values (4) 48
 
5.6%
Hangul
ValueCountFrequency (%)
북 128
 
8.3%
곡 125
 
8.1%
칠 121
 
7.9%
도 119
 
7.8%
경 116
 
7.6%
상 114
 
7.4%
군 113
 
7.4%
읍 73
 
4.8%
길 68
 
4.4%
로 65
 
4.2%
Other values (70) 492
32.1%

건물주소(지번)
Text

Distinct102
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T13:41:58.999092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length24.714286
Min length22

Characters and Unicode

Total characters2768
Distinct characters76
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

Unique94 ?
Unique (%)83.9%

Sample

1st row경상북도 칠곡군 왜관읍 왜관리 613-1번지
2nd row경상북도 칠곡군 왜관읍 석전리 746-4번지
3rd row경상북도 칠곡군 북삼읍 인평리 523-9번지
4th row경상북도 칠곡군 왜관읍 금산리 986-33번지
5th row경상북도 칠곡군 왜관읍 왜관리 590번지
ValueCountFrequency (%)
경상북도 112
19.7%
칠곡군 112
19.7%
왜관읍 52
 
9.2%
왜관리 21
 
3.7%
석적읍 12
 
2.1%
북삼읍 11
 
1.9%
약목면 10
 
1.8%
금산리 10
 
1.8%
지천면 10
 
1.8%
중리 9
 
1.6%
Other values (135) 209
36.8%
2023-12-12T13:41:59.579813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
566
20.4%
북 124
 
4.5%
지 123
 
4.4%
곡 119
 
4.3%
경 114
 
4.1%
도 114
 
4.1%
칠 114
 
4.1%
군 112
 
4.0%
상 112
 
4.0%
리 110
 
4.0%
Other values (66) 1160
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1701
61.5%
Space Separator 566
 
20.4%
Decimal Number 431
 
15.6%
Dash Punctuation 70
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 124
 
7.3%
지 123
 
7.2%
곡 119
 
7.0%
경 114
 
6.7%
도 114
 
6.7%
칠 114
 
6.7%
군 112
 
6.6%
상 112
 
6.6%
리 110
 
6.5%
번 110
 
6.5%
Other values (54) 549
32.3%
Decimal Number
ValueCountFrequency (%)
1 82
19.0%
2 65
15.1%
3 56
13.0%
7 42
9.7%
6 42
9.7%
5 32
 
7.4%
8 29
 
6.7%
9 28
 
6.5%
0 28
 
6.5%
4 27
 
6.3%
Space Separator
ValueCountFrequency (%)
566
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1701
61.5%
Common 1067
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 124
 
7.3%
지 123
 
7.2%
곡 119
 
7.0%
경 114
 
6.7%
도 114
 
6.7%
칠 114
 
6.7%
군 112
 
6.6%
상 112
 
6.6%
리 110
 
6.5%
번 110
 
6.5%
Other values (54) 549
32.3%
Common
ValueCountFrequency (%)
566
53.0%
1 82
 
7.7%
- 70
 
6.6%
2 65
 
6.1%
3 56
 
5.2%
7 42
 
3.9%
6 42
 
3.9%
5 32
 
3.0%
8 29
 
2.7%
9 28
 
2.6%
Other values (2) 55
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1701
61.5%
ASCII 1067
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
566
53.0%
1 82
 
7.7%
- 70
 
6.6%
2 65
 
6.1%
3 56
 
5.2%
7 42
 
3.9%
6 42
 
3.9%
5 32
 
3.0%
8 29
 
2.7%
9 28
 
2.6%
Other values (2) 55
 
5.2%
Hangul
ValueCountFrequency (%)
북 124
 
7.3%
지 123
 
7.2%
곡 119
 
7.0%
경 114
 
6.7%
도 114
 
6.7%
칠 114
 
6.7%
군 112
 
6.6%
상 112
 
6.6%
리 110
 
6.5%
번 110
 
6.5%
Other values (54) 549
32.3%

Missing values

2023-12-12T13:41:56.427583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:41:56.515861image/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

인허가관리번호건물명건물주소(도로명)건물주소(지번)
05220000-98-2012-00001아이캔몬테소리어린이집경상북도 칠곡군 왜관읍 평장2길 65경상북도 칠곡군 왜관읍 왜관리 613-1번지
15220000-98-2012-00002천재어린이집경상북도 칠곡군 왜관읍 석전로1길 25경상북도 칠곡군 왜관읍 석전리 746-4번지
25220000-98-2012-00003키즈스쿨어린이집경상북도 칠곡군 북삼읍 인평9길 8경상북도 칠곡군 북삼읍 인평리 523-9번지
35220000-98-2012-00004칠곡군소망어린이집경상북도 칠곡군 왜관읍 공단로4길 18-16경상북도 칠곡군 왜관읍 금산리 986-33번지
45220000-98-2012-00005칠곡군행복어린이집경상북도 칠곡군 왜관읍 평장7길 5경상북도 칠곡군 왜관읍 왜관리 590번지
55220000-98-2012-00006칠곡어린이집경상북도 칠곡군 왜관읍 구상길 136-5경상북도 칠곡군 왜관읍 왜관리 809-1번지
65220000-98-2012-00007칠곡군샛별어린이집경상북도 칠곡군 왜관읍 관문로1길 24경상북도 칠곡군 왜관읍 석전리 883번지
75220000-98-2012-00008칠곡군희망어린이집경상북도 칠곡군 석적읍 남중리2길 65경상북도 칠곡군 석적읍 중리 244-10번지
85220000-98-2012-00009햇님어린이집경상북도 칠곡군 석적읍 동중리8길 10경상북도 칠곡군 석적읍 중리 214-2번지
95220000-98-2012-00010아이웃음어린이집경상북도 칠곡군 석적읍 동중리9길 20경상북도 칠곡군 석적읍 중리 222-2번지
인허가관리번호건물명건물주소(도로명)건물주소(지번)
1025220000-98-2014-00026다부영업소경상북도 칠곡군 가산면 호국로 1420경상북도 칠곡군 가산면 다부리 229번지
1035220000-98-2014-00027고속도로순찰대A동경상북도 칠곡군 왜관읍 칠곡대로 1779-50경상북도 칠곡군 왜관읍 삼청리 579-4번지
1045220000-98-2014-00028칠곡(서울)휴게소D동기숙사경상북도 칠곡군 왜관읍 경부고속도로 158경상북도 칠곡군 왜관읍 아곡리 138번지
1055220000-98-2014-00029칠곡(부산)휴게서B동(매점)경상북도 칠곡군 왜관읍 아곡4길 7경상북도 칠곡군 왜관읍 아곡리 302번지
1065220000-98-2014-00030칠곡(부산)휴게서A동(식당)경상북도 칠곡군 왜관읍 아곡4길 7경상북도 칠곡군 왜관읍 아곡리 302번지
1075220000-98-2014-00031칠곡(부산)휴게소C동(기숙사)경상북도 칠곡군 왜관읍 아곡4길 7경상북도 칠곡군 왜관읍 아곡리 302번지
1085220000-98-2014-00032한국도로공사왜관영업소경상북도 칠곡군 왜관읍 칠곡대로 1779-60경상북도 칠곡군 왜관읍 삼청리 578-3번지
1095220000-98-2014-00033한국도로공사경상북도 칠곡군 지천면 경부고속도로 843-1경상북도 칠곡군 지천면 연화리 843-1번지
1105220000-98-2014-00034칠곡(서울)휴게소A동(식당경상북도 칠곡군 왜관읍 경부고속도로 158
1115220000-98-2014-00035칠곡(서울)휴게소B동(매점경상북도 칠곡군 왜관읍 경부고속도로 138