Overview

Dataset statistics

Number of variables4
Number of observations136
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory33.0 B

Variable types

Text2
Categorical2

Dataset

Description김해시 석면조사대상건축물 현황(건물명, 동명, 주소, 구분(대분류), 구분(소분류) 등)에 대한 데이터를 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15093011/fileData.do

Alerts

구분(소분류) is highly overall correlated with 구분(대분류)High correlation
구분(대분류) is highly overall correlated with 구분(소분류)High correlation
건물명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:52:47.238679
Analysis finished2023-12-11 22:52:47.667559
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건물명
Text

UNIQUE 

Distinct136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T07:52:47.843439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.6617647
Min length2

Characters and Unicode

Total characters1178
Distinct characters244
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)100.0%

Sample

1st row동상동행정복지센터
2nd row나전농공단지사무실
3rd row봉림농공단지사무실
4th row내삼농공단지관리사무실
5th row진영죽곡농공단지 복지관
ValueCountFrequency (%)
및 3
 
1.8%
본점 3
 
1.8%
김해축산농협 2
 
1.2%
부경양돈협동조합사료공장 2
 
1.2%
하나로마트 2
 
1.2%
장유농협 2
 
1.2%
대동농협 2
 
1.2%
실내주차장 1
 
0.6%
자이언트가구프라자 1
 
0.6%
김해성모요양병원(신관 1
 
0.6%
Other values (152) 152
88.9%
2023-12-12T07:52:48.262637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 41
 
3.5%
40
 
3.4%
원 31
 
2.6%
) 30
 
2.5%
( 30
 
2.5%
이 29
 
2.5%
김 27
 
2.3%
해 27
 
2.3%
어 26
 
2.2%
린 25
 
2.1%
Other values (234) 872
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1034
87.8%
Space Separator 40
 
3.4%
Close Punctuation 30
 
2.5%
Open Punctuation 30
 
2.5%
Decimal Number 19
 
1.6%
Uppercase Letter 15
 
1.3%
Other Punctuation 5
 
0.4%
Dash Punctuation 4
 
0.3%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 41
 
4.0%
원 31
 
3.0%
이 29
 
2.8%
김 27
 
2.6%
해 27
 
2.6%
어 26
 
2.5%
린 25
 
2.4%
사 24
 
2.3%
농 24
 
2.3%
집 24
 
2.3%
Other values (207) 756
73.1%
Uppercase Letter
ValueCountFrequency (%)
A 4
26.7%
C 2
13.3%
B 2
13.3%
E 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%
H 1
 
6.7%
N 1
 
6.7%
W 1
 
6.7%
Y 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 5
26.3%
2 3
15.8%
5 3
15.8%
7 2
 
10.5%
0 2
 
10.5%
9 1
 
5.3%
3 1
 
5.3%
6 1
 
5.3%
8 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
/ 1
 
20.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1035
87.9%
Common 128
 
10.9%
Latin 15
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 41
 
4.0%
원 31
 
3.0%
이 29
 
2.8%
김 27
 
2.6%
해 27
 
2.6%
어 26
 
2.5%
린 25
 
2.4%
사 24
 
2.3%
농 24
 
2.3%
집 24
 
2.3%
Other values (208) 757
73.1%
Common
ValueCountFrequency (%)
40
31.2%
) 30
23.4%
( 30
23.4%
1 5
 
3.9%
- 4
 
3.1%
. 3
 
2.3%
2 3
 
2.3%
5 3
 
2.3%
7 2
 
1.6%
0 2
 
1.6%
Other values (6) 6
 
4.7%
Latin
ValueCountFrequency (%)
A 4
26.7%
C 2
13.3%
B 2
13.3%
E 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%
H 1
 
6.7%
N 1
 
6.7%
W 1
 
6.7%
Y 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1034
87.8%
ASCII 143
 
12.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 41
 
4.0%
원 31
 
3.0%
이 29
 
2.8%
김 27
 
2.6%
해 27
 
2.6%
어 26
 
2.5%
린 25
 
2.4%
사 24
 
2.3%
농 24
 
2.3%
집 24
 
2.3%
Other values (207) 756
73.1%
ASCII
ValueCountFrequency (%)
40
28.0%
) 30
21.0%
( 30
21.0%
1 5
 
3.5%
A 4
 
2.8%
- 4
 
2.8%
. 3
 
2.1%
2 3
 
2.1%
5 3
 
2.1%
C 2
 
1.4%
Other values (16) 19
13.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

건물주소(도로명)
Text

Distinct116
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T07:52:48.599544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length18.375
Min length10

Characters and Unicode

Total characters2499
Distinct characters112
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)78.7%

Sample

1st row김해시 호계로517번길 8
2nd row김해시 나전로249번길 13-67
3rd row김해시 봉림로 115-80
4th row김해시 주촌면 서부로1499번길 102-6
5th row김해시 진영읍 서부로179번길 57
ValueCountFrequency (%)
김해시 136
25.5%
어방동 17
 
3.2%
인제로 13
 
2.4%
외동 12
 
2.2%
진영읍 12
 
2.2%
197 11
 
2.1%
내동 10
 
1.9%
한림면 9
 
1.7%
부원동 7
 
1.3%
김해대로 6
 
1.1%
Other values (200) 301
56.4%
2023-12-12T07:52:49.055031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
406
 
16.2%
김 150
 
6.0%
해 150
 
6.0%
시 136
 
5.4%
로 135
 
5.4%
1 131
 
5.2%
동 94
 
3.8%
2 80
 
3.2%
( 79
 
3.2%
) 79
 
3.2%
Other values (102) 1059
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1343
53.7%
Decimal Number 555
22.2%
Space Separator 406
 
16.2%
Open Punctuation 79
 
3.2%
Close Punctuation 79
 
3.2%
Dash Punctuation 31
 
1.2%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 150
 
11.2%
해 150
 
11.2%
시 136
 
10.1%
로 135
 
10.1%
동 94
 
7.0%
번 60
 
4.5%
길 58
 
4.3%
대 30
 
2.2%
삼 24
 
1.8%
방 23
 
1.7%
Other values (87) 483
36.0%
Decimal Number
ValueCountFrequency (%)
1 131
23.6%
2 80
14.4%
5 55
9.9%
7 48
 
8.6%
9 48
 
8.6%
3 47
 
8.5%
8 39
 
7.0%
0 39
 
7.0%
6 34
 
6.1%
4 34
 
6.1%
Space Separator
ValueCountFrequency (%)
406
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1343
53.7%
Common 1156
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 150
 
11.2%
해 150
 
11.2%
시 136
 
10.1%
로 135
 
10.1%
동 94
 
7.0%
번 60
 
4.5%
길 58
 
4.3%
대 30
 
2.2%
삼 24
 
1.8%
방 23
 
1.7%
Other values (87) 483
36.0%
Common
ValueCountFrequency (%)
406
35.1%
1 131
 
11.3%
2 80
 
6.9%
( 79
 
6.8%
) 79
 
6.8%
5 55
 
4.8%
7 48
 
4.2%
9 48
 
4.2%
3 47
 
4.1%
8 39
 
3.4%
Other values (5) 144
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1343
53.7%
ASCII 1156
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
406
35.1%
1 131
 
11.3%
2 80
 
6.9%
( 79
 
6.8%
) 79
 
6.8%
5 55
 
4.8%
7 48
 
4.2%
9 48
 
4.2%
3 47
 
4.1%
8 39
 
3.4%
Other values (5) 144
 
12.5%
Hangul
ValueCountFrequency (%)
김 150
 
11.2%
해 150
 
11.2%
시 136
 
10.1%
로 135
 
10.1%
동 94
 
7.0%
번 60
 
4.5%
길 58
 
4.3%
대 30
 
2.2%
삼 24
 
1.8%
방 23
 
1.7%
Other values (87) 483
36.0%

구분(대분류)
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
공공건축물
62 
다중이용시설
45 
학교
16 
기타 건축물
13 

Length

Max length6
Median length5
Mean length5.0735294
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공건축물 62
45.6%
다중이용시설 45
33.1%
학교 16
 
11.8%
기타 건축물 13
 
9.6%

Length

2023-12-12T07:52:49.199043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:52:49.382512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공건축물 62
41.6%
다중이용시설 45
30.2%
학교 16
 
10.7%
기타 13
 
8.7%
건축물 13
 
8.7%

구분(소분류)
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
특수법인
30 
어린이집
22 
행정기관
18 
대학교
16 
공공기관
14 
Other values (8)
36 

Length

Max length8
Median length4
Mean length4.1838235
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
특수법인 30
22.1%
어린이집 22
16.2%
행정기관 18
13.2%
대학교 16
11.8%
공공기관 14
10.3%
의료기관 11
 
8.1%
대규모점포 9
 
6.6%
기타 노유자시설 5
 
3.7%
어린이시설 3
 
2.2%
실내주차장 3
 
2.2%
Other values (3) 5
 
3.7%

Length

2023-12-12T07:52:49.533806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
특수법인 30
21.3%
어린이집 22
15.6%
행정기관 18
12.8%
대학교 16
11.3%
공공기관 14
9.9%
의료기관 11
 
7.8%
대규모점포 9
 
6.4%
기타 5
 
3.5%
노유자시설 5
 
3.5%
어린이시설 3
 
2.1%
Other values (4) 8
 
5.7%

Correlations

2023-12-12T07:52:49.638587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(대분류)구분(소분류)
구분(대분류)1.0001.000
구분(소분류)1.0001.000
2023-12-12T07:52:49.746239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(소분류)구분(대분류)
구분(소분류)1.0000.965
구분(대분류)0.9651.000
2023-12-12T07:52:49.842884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(대분류)구분(소분류)
구분(대분류)1.0000.965
구분(소분류)0.9651.000

Missing values

2023-12-12T07:52:47.537231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:52:47.633471image/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

건물명건물주소(도로명)구분(대분류)구분(소분류)
0동상동행정복지센터김해시 호계로517번길 8공공건축물행정기관
1나전농공단지사무실김해시 나전로249번길 13-67공공건축물행정기관
2봉림농공단지사무실김해시 봉림로 115-80공공건축물행정기관
3내삼농공단지관리사무실김해시 주촌면 서부로1499번길 102-6공공건축물행정기관
4진영죽곡농공단지 복지관김해시 진영읍 서부로179번길 57공공건축물행정기관
5내외동사무소김해시 내외로 67공공건축물행정기관
6진영읍사무소김해시 여래로20번길 11공공건축물행정기관
7김해어린이집김해시 가락로15번길 22공공건축물행정기관
8예비군교육관김해시 생림대로 132-16공공건축물행정기관
9삼안동행정복지센터김해시 활천로255번길 12공공건축물행정기관
건물명건물주소(도로명)구분(대분류)구분(소분류)
126사회과학동(6동)김해시 인제로 197 (어방동)학교대학교
127강의동(5동)김해시 인제로 197 (어방동)학교대학교
128기숙사동(3동)김해시 인제로 197 (어방동)학교대학교
129보건전문대학동(1동)김해시 인제로 197 (어방동)학교대학교
130본관/도서관(17동)김해시 인제로 197 (어방동)학교대학교
131학생회관(7동)김해시 인제로 197 (어방동)학교대학교
132교수식당(2동)김해시 인제로 197 (어방동)학교대학교
133학군단(19동)김해시 인제로 197 (어방동)학교대학교
134고시원(20동)김해시 인제로 197 (어방동)학교대학교
135퇴래농장실습사1김해시 김해대로 969학교대학교