Overview

Dataset statistics

Number of variables9
Number of observations241
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.1 KiB
Average record size in memory72.5 B

Variable types

Categorical5
Text4

Dataset

Description강원특별자치도도 춘천시에 설치되어있는 폭염대비접이식그늘막에 대한 관리 주체인 행정동, 관리번호, 설치장소, 주소, 그늘막 유형 등에 대한 자료
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15074495/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
그늘막 유형 is highly imbalanced (93.1%)Imbalance
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-05-04 07:43:18.759631
Analysis finished2024-05-04 07:43:20.440259
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
강원특별자치도
241 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 241
100.0%

Length

2024-05-04T07:43:20.657896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:43:20.942757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 241
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
춘천시
241 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
춘천시 241
100.0%

Length

2024-05-04T07:43:21.223686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:43:21.535911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
춘천시 241
100.0%

행정동
Categorical

Distinct18
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
퇴계동
32 
강남동
28 
석사동
27 
근화동
27 
소양동
20 
Other values (13)
107 

Length

Max length4
Median length3
Mean length3.253112
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신북읍
2nd row신북읍
3rd row동면
4th row동면
5th row동면

Common Values

ValueCountFrequency (%)
퇴계동 32
13.3%
강남동 28
11.6%
석사동 27
11.2%
근화동 27
11.2%
소양동 20
8.3%
신사우동 19
7.9%
효자1동 13
 
5.4%
효자2동 13
 
5.4%
동내면 12
 
5.0%
동면 11
 
4.6%
Other values (8) 39
16.2%

Length

2024-05-04T07:43:22.070709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
퇴계동 32
13.3%
강남동 28
11.6%
석사동 27
11.2%
근화동 27
11.2%
소양동 20
8.3%
신사우동 19
7.9%
효자1동 13
 
5.4%
효자2동 13
 
5.4%
동내면 12
 
5.0%
약사명동 11
 
4.6%
Other values (8) 39
16.2%

관리번호
Text

UNIQUE 

Distinct241
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-04T07:43:22.936464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length4.7676349
Min length3

Characters and Unicode

Total characters1149
Distinct characters41
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

Unique241 ?
Unique (%)100.0%

Sample

1st row신북읍1
2nd row신북읍2
3rd row동면1
4th row동면2
5th row동면3
ValueCountFrequency (%)
신북읍1 1
 
0.4%
효자2동4 1
 
0.4%
퇴계동4 1
 
0.4%
석사동22 1
 
0.4%
석사동23 1
 
0.4%
석사동24 1
 
0.4%
석사동25 1
 
0.4%
석사동26 1
 
0.4%
석사동27 1
 
0.4%
석사동28 1
 
0.4%
Other values (231) 231
95.9%
2024-05-04T07:43:24.368499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 239
20.8%
1 126
 
11.0%
2 85
 
7.4%
사 57
 
5.0%
3 40
 
3.5%
계 32
 
2.8%
퇴 32
 
2.8%
자 30
 
2.6%
효 30
 
2.6%
남 28
 
2.4%
Other values (31) 450
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 746
64.9%
Decimal Number 399
34.7%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 239
32.0%
사 57
 
7.6%
계 32
 
4.3%
퇴 32
 
4.3%
자 30
 
4.0%
효 30
 
4.0%
남 28
 
3.8%
강 28
 
3.8%
근 27
 
3.6%
석 27
 
3.6%
Other values (19) 216
29.0%
Decimal Number
ValueCountFrequency (%)
1 126
31.6%
2 85
21.3%
3 40
 
10.0%
4 26
 
6.5%
5 24
 
6.0%
6 21
 
5.3%
7 21
 
5.3%
8 20
 
5.0%
9 19
 
4.8%
0 17
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 746
64.9%
Common 403
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 239
32.0%
사 57
 
7.6%
계 32
 
4.3%
퇴 32
 
4.3%
자 30
 
4.0%
효 30
 
4.0%
남 28
 
3.8%
강 28
 
3.8%
근 27
 
3.6%
석 27
 
3.6%
Other values (19) 216
29.0%
Common
ValueCountFrequency (%)
1 126
31.3%
2 85
21.1%
3 40
 
9.9%
4 26
 
6.5%
5 24
 
6.0%
6 21
 
5.2%
7 21
 
5.2%
8 20
 
5.0%
9 19
 
4.7%
0 17
 
4.2%
Other values (2) 4
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 746
64.9%
ASCII 403
35.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 239
32.0%
사 57
 
7.6%
계 32
 
4.3%
퇴 32
 
4.3%
자 30
 
4.0%
효 30
 
4.0%
남 28
 
3.8%
강 28
 
3.8%
근 27
 
3.6%
석 27
 
3.6%
Other values (19) 216
29.0%
ASCII
ValueCountFrequency (%)
1 126
31.3%
2 85
21.1%
3 40
 
9.9%
4 26
 
6.5%
5 24
 
6.0%
6 21
 
5.2%
7 21
 
5.2%
8 20
 
5.0%
9 19
 
4.7%
0 17
 
4.2%
Other values (2) 4
 
1.0%

설치장소명
Text

Distinct239
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-04T07:43:24.949838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length31
Mean length18.59751
Min length4

Characters and Unicode

Total characters4482
Distinct characters345
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)98.3%

Sample

1st row신북사거리 gs25 건너편 교통섬
2nd row신북사거리 국제만물 앞 교통섬
3rd row하주골 앞 보도
4th row장학교차로1(정봉기내과 앞)
5th row장학교차로2(정봉기내과 우측)
ValueCountFrequency (%)
앞 96
 
10.8%
건너편 43
 
4.8%
횡단보도 32
 
3.6%
방향 20
 
2.2%
맞은편 19
 
2.1%
교통섬 16
 
1.8%
정문 11
 
1.2%
입구 10
 
1.1%
인근 9
 
1.0%
석사동 8
 
0.9%
Other values (445) 628
70.4%
2024-05-04T07:43:26.298066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
654
 
14.6%
앞 125
 
2.8%
) 113
 
2.5%
( 112
 
2.5%
사 108
 
2.4%
동 100
 
2.2%
편 91
 
2.0%
교 75
 
1.7%
건 70
 
1.6%
천 69
 
1.5%
Other values (335) 2965
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3271
73.0%
Space Separator 654
 
14.6%
Decimal Number 238
 
5.3%
Close Punctuation 113
 
2.5%
Open Punctuation 112
 
2.5%
Uppercase Letter 49
 
1.1%
Dash Punctuation 25
 
0.6%
Lowercase Letter 15
 
0.3%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 125
 
3.8%
사 108
 
3.3%
동 100
 
3.1%
편 91
 
2.8%
교 75
 
2.3%
건 70
 
2.1%
천 69
 
2.1%
리 69
 
2.1%
거 65
 
2.0%
너 63
 
1.9%
Other values (297) 2436
74.5%
Uppercase Letter
ValueCountFrequency (%)
C 10
20.4%
S 7
14.3%
U 6
12.2%
G 6
12.2%
E 4
 
8.2%
K 4
 
8.2%
L 3
 
6.1%
V 2
 
4.1%
B 2
 
4.1%
A 2
 
4.1%
Other values (2) 3
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
u 2
13.3%
s 2
13.3%
c 2
13.3%
e 2
13.3%
m 1
6.7%
l 1
6.7%
t 1
6.7%
g 1
6.7%
o 1
6.7%
n 1
6.7%
Decimal Number
ValueCountFrequency (%)
1 65
27.3%
2 31
13.0%
3 24
 
10.1%
7 23
 
9.7%
0 22
 
9.2%
5 18
 
7.6%
9 15
 
6.3%
6 15
 
6.3%
8 14
 
5.9%
4 11
 
4.6%
Space Separator
ValueCountFrequency (%)
654
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3271
73.0%
Common 1147
 
25.6%
Latin 64
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 125
 
3.8%
사 108
 
3.3%
동 100
 
3.1%
편 91
 
2.8%
교 75
 
2.3%
건 70
 
2.1%
천 69
 
2.1%
리 69
 
2.1%
거 65
 
2.0%
너 63
 
1.9%
Other values (297) 2436
74.5%
Latin
ValueCountFrequency (%)
C 10
15.6%
S 7
 
10.9%
U 6
 
9.4%
G 6
 
9.4%
E 4
 
6.2%
K 4
 
6.2%
L 3
 
4.7%
u 2
 
3.1%
s 2
 
3.1%
c 2
 
3.1%
Other values (13) 18
28.1%
Common
ValueCountFrequency (%)
654
57.0%
) 113
 
9.9%
( 112
 
9.8%
1 65
 
5.7%
2 31
 
2.7%
- 25
 
2.2%
3 24
 
2.1%
7 23
 
2.0%
0 22
 
1.9%
5 18
 
1.6%
Other values (5) 60
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3271
73.0%
ASCII 1211
 
27.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
654
54.0%
) 113
 
9.3%
( 112
 
9.2%
1 65
 
5.4%
2 31
 
2.6%
- 25
 
2.1%
3 24
 
2.0%
7 23
 
1.9%
0 22
 
1.8%
5 18
 
1.5%
Other values (28) 124
 
10.2%
Hangul
ValueCountFrequency (%)
앞 125
 
3.8%
사 108
 
3.3%
동 100
 
3.1%
편 91
 
2.8%
교 75
 
2.3%
건 70
 
2.1%
천 69
 
2.1%
리 69
 
2.1%
거 65
 
2.0%
너 63
 
1.9%
Other values (297) 2436
74.5%

도로명주소
Text

Distinct63
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-04T07:43:27.116210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length1
Mean length8.593361
Min length1

Characters and Unicode

Total characters2071
Distinct characters109
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

Unique57 ?
Unique (%)23.7%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
춘천시 67
19.6%
강원특별자치도 64
18.7%
퇴계동 13
 
3.8%
춘천로 11
 
3.2%
후평동 9
 
2.6%
효자동 7
 
2.0%
석사동 7
 
2.0%
후석로 7
 
2.0%
금강로 7
 
2.0%
영서로 6
 
1.8%
Other values (100) 144
42.1%
2024-05-04T07:43:28.464175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
589
28.4%
천 85
 
4.1%
춘 85
 
4.1%
강 75
 
3.6%
자 72
 
3.5%
로 69
 
3.3%
도 67
 
3.2%
원 67
 
3.2%
시 67
 
3.2%
치 65
 
3.1%
Other values (99) 830
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1145
55.3%
Space Separator 589
28.4%
Decimal Number 202
 
9.8%
Open Punctuation 64
 
3.1%
Close Punctuation 64
 
3.1%
Other Punctuation 4
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 85
 
7.4%
춘 85
 
7.4%
강 75
 
6.6%
자 72
 
6.3%
로 69
 
6.0%
도 67
 
5.9%
원 67
 
5.9%
시 67
 
5.9%
치 65
 
5.7%
특 64
 
5.6%
Other values (84) 429
37.5%
Decimal Number
ValueCountFrequency (%)
1 51
25.2%
2 31
15.3%
3 24
11.9%
4 21
10.4%
6 18
 
8.9%
5 17
 
8.4%
8 16
 
7.9%
7 10
 
5.0%
9 9
 
4.5%
0 5
 
2.5%
Space Separator
ValueCountFrequency (%)
589
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1145
55.3%
Common 926
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 85
 
7.4%
춘 85
 
7.4%
강 75
 
6.6%
자 72
 
6.3%
로 69
 
6.0%
도 67
 
5.9%
원 67
 
5.9%
시 67
 
5.9%
치 65
 
5.7%
특 64
 
5.6%
Other values (84) 429
37.5%
Common
ValueCountFrequency (%)
589
63.6%
( 64
 
6.9%
) 64
 
6.9%
1 51
 
5.5%
2 31
 
3.3%
3 24
 
2.6%
4 21
 
2.3%
6 18
 
1.9%
5 17
 
1.8%
8 16
 
1.7%
Other values (5) 31
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1145
55.3%
ASCII 926
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
589
63.6%
( 64
 
6.9%
) 64
 
6.9%
1 51
 
5.5%
2 31
 
3.3%
3 24
 
2.6%
4 21
 
2.3%
6 18
 
1.9%
5 17
 
1.8%
8 16
 
1.7%
Other values (5) 31
 
3.3%
Hangul
ValueCountFrequency (%)
천 85
 
7.4%
춘 85
 
7.4%
강 75
 
6.6%
자 72
 
6.3%
로 69
 
6.0%
도 67
 
5.9%
원 67
 
5.9%
시 67
 
5.9%
치 65
 
5.7%
특 64
 
5.6%
Other values (84) 429
37.5%

지번주소
Text

Distinct210
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-04T07:43:29.449301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length22
Min length18

Characters and Unicode

Total characters5302
Distinct characters69
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

Unique186 ?
Unique (%)77.2%

Sample

1st row강원특별자치도 춘천시 신북읍 율문리 909-54
2nd row강원특별자치도 춘천시 신북읍 율문리 272-2
3rd row강원특별자치도 춘천시 동면 만천리 807-15
4th row강원특별자치도 춘천시 동면 장학리 809-11
5th row강원특별자치도 춘천시 동면 장학리 809-11
ValueCountFrequency (%)
강원특별자치도 241
24.3%
춘천시 241
24.3%
퇴계동 32
 
3.2%
효자동 29
 
2.9%
석사동 27
 
2.7%
근화동 23
 
2.3%
온의동 20
 
2.0%
후평동 14
 
1.4%
우두동 13
 
1.3%
동내면 12
 
1.2%
Other values (232) 341
34.3%
2024-05-04T07:43:30.852140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
993
18.7%
자 270
 
5.1%
천 253
 
4.8%
원 243
 
4.6%
강 241
 
4.5%
춘 241
 
4.5%
시 241
 
4.5%
도 241
 
4.5%
치 241
 
4.5%
별 241
 
4.5%
Other values (59) 2097
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3221
60.8%
Space Separator 993
 
18.7%
Decimal Number 927
 
17.5%
Dash Punctuation 161
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 270
 
8.4%
천 253
 
7.9%
원 243
 
7.5%
강 241
 
7.5%
춘 241
 
7.5%
시 241
 
7.5%
도 241
 
7.5%
치 241
 
7.5%
별 241
 
7.5%
특 241
 
7.5%
Other values (47) 768
23.8%
Decimal Number
ValueCountFrequency (%)
1 171
18.4%
2 110
11.9%
3 94
10.1%
5 91
9.8%
9 86
9.3%
6 85
9.2%
7 84
9.1%
4 74
8.0%
8 69
7.4%
0 63
 
6.8%
Space Separator
ValueCountFrequency (%)
993
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 161
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3221
60.8%
Common 2081
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 270
 
8.4%
천 253
 
7.9%
원 243
 
7.5%
강 241
 
7.5%
춘 241
 
7.5%
시 241
 
7.5%
도 241
 
7.5%
치 241
 
7.5%
별 241
 
7.5%
특 241
 
7.5%
Other values (47) 768
23.8%
Common
ValueCountFrequency (%)
993
47.7%
1 171
 
8.2%
- 161
 
7.7%
2 110
 
5.3%
3 94
 
4.5%
5 91
 
4.4%
9 86
 
4.1%
6 85
 
4.1%
7 84
 
4.0%
4 74
 
3.6%
Other values (2) 132
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3221
60.8%
ASCII 2081
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
993
47.7%
1 171
 
8.2%
- 161
 
7.7%
2 110
 
5.3%
3 94
 
4.5%
5 91
 
4.4%
9 86
 
4.1%
6 85
 
4.1%
7 84
 
4.0%
4 74
 
3.6%
Other values (2) 132
 
6.3%
Hangul
ValueCountFrequency (%)
자 270
 
8.4%
천 253
 
7.9%
원 243
 
7.5%
강 241
 
7.5%
춘 241
 
7.5%
시 241
 
7.5%
도 241
 
7.5%
치 241
 
7.5%
별 241
 
7.5%
특 241
 
7.5%
Other values (47) 768
23.8%

그늘막 유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
그늘막(고정형)
239 
그늘막(스마트형)
 
2

Length

Max length9
Median length8
Mean length8.0082988
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row그늘막(고정형)
2nd row그늘막(고정형)
3rd row그늘막(고정형)
4th row그늘막(고정형)
5th row그늘막(고정형)

Common Values

ValueCountFrequency (%)
그늘막(고정형) 239
99.2%
그늘막(스마트형) 2
 
0.8%

Length

2024-05-04T07:43:31.284677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:43:31.635641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그늘막(고정형 239
99.2%
그늘막(스마트형 2
 
0.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-17
241 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-17
2nd row2024-04-17
3rd row2024-04-17
4th row2024-04-17
5th row2024-04-17

Common Values

ValueCountFrequency (%)
2024-04-17 241
100.0%

Length

2024-05-04T07:43:32.066819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:43:32.448307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-17 241
100.0%

Correlations

2024-05-04T07:43:32.676047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동도로명주소그늘막 유형
행정동1.0000.8900.609
도로명주소0.8901.0000.679
그늘막 유형0.6090.6791.000
2024-05-04T07:43:32.950190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동그늘막 유형
행정동1.0000.469
그늘막 유형0.4691.000
2024-05-04T07:43:33.174160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동그늘막 유형
행정동1.0000.469
그늘막 유형0.4691.000

Missing values

2024-05-04T07:43:19.766305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T07:43:20.232751image/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

시도시군구행정동관리번호설치장소명도로명주소지번주소그늘막 유형데이터기준일자
0강원특별자치도춘천시신북읍신북읍1신북사거리 gs25 건너편 교통섬강원특별자치도 춘천시 신북읍 율문리 909-54그늘막(고정형)2024-04-17
1강원특별자치도춘천시신북읍신북읍2신북사거리 국제만물 앞 교통섬강원특별자치도 춘천시 신북읍 율문리 272-2그늘막(고정형)2024-04-17
2강원특별자치도춘천시동면동면1하주골 앞 보도강원특별자치도 춘천시 동면 만천리 807-15그늘막(고정형)2024-04-17
3강원특별자치도춘천시동면동면2장학교차로1(정봉기내과 앞)강원특별자치도 춘천시 동면 장학리 809-11그늘막(고정형)2024-04-17
4강원특별자치도춘천시동면동면3장학교차로2(정봉기내과 우측)강원특별자치도 춘천시 동면 장학리 809-11그늘막(고정형)2024-04-17
5강원특별자치도춘천시동면동면4장학교차로3(MS마트 앞)강원특별자치도 춘천시 동면 장학리 809-11그늘막(고정형)2024-04-17
6강원특별자치도춘천시동면동면5장학교차로4(농협주유소 앞)강원특별자치도 춘천시 동면 장학리 809-11그늘막(고정형)2024-04-17
7강원특별자치도춘천시동면동면6너울숲공원(장학초 우측건너편)강원특별자치도 춘천시 동면 장학리 1000그늘막(고정형)2024-04-17
8강원특별자치도춘천시동면동면7티파니 스크린골프 앞 횡단보도강원특별자치도 춘천시 동면 춘천순환로 515강원특별자치도 춘천시 동면 만천리 763-2그늘막(고정형)2024-04-17
9강원특별자치도춘천시동면동면8세븐일레븐 춘천여고점 앞 횡단보도강원특별자치도 춘천시 동면 춘천순환로 514강원특별자치도 춘천시 동면 만천리 759-2그늘막(고정형)2024-04-17
시도시군구행정동관리번호설치장소명도로명주소지번주소그늘막 유형데이터기준일자
231강원특별자치도춘천시신사우동신사우동10사우로 벨몽드마트 강북점 건너편강원특별자치도 춘천시 사농동 99-32그늘막(고정형)2024-04-17
232강원특별자치도춘천시신사우동신사우동11신사우동 현대아파트 정문(사농동 367-1)강원특별자치도 춘천시 영서로 2924 (사농동)강원특별자치도 춘천시 사농동 367-1그늘막(고정형)2024-04-17
233강원특별자치도춘천시신사우동신사우동12롯데인벤스 정문(우두동 707-16)강원특별자치도 춘천시 우두동 707-16그늘막(고정형)2024-04-17
234강원특별자치도춘천시신사우동신사우동13북춘천 새마을금고 앞강원특별자치도 춘천시 우두동 444-10그늘막(고정형)2024-04-17
235강원특별자치도춘천시신사우동신사우동14타이어 월드 앞강원특별자치도 춘천시 사우로 138 (우두동)강원특별자치도 춘천시 우두동 280-2그늘막(고정형)2024-04-17
236강원특별자치도춘천시신사우동신사우동15청평해장국 앞(CU 건너편)강원특별자치도 춘천시 우두동 1074그늘막(고정형)2024-04-17
237강원특별자치도춘천시신사우동신사우동16벨몽드마트 대각선 맞은편강원특별자치도 춘천시 사농동 95-3그늘막(고정형)2024-04-17
238강원특별자치도춘천시신사우동신사우동17우두벌 교차로 횡단보도(찌니네식빵 건너편 롯데캐슬더퍼스트 2단지 아파트 쪽))강원특별자치도 춘천시 사농동 823그늘막(고정형)2024-04-17
239강원특별자치도춘천시신사우동신사우동18우두벌 교차로 찌니네식빵쪽 횡단보도강원특별자치도 춘천시 우두동 1121-1그늘막(고정형)2024-04-17
240강원특별자치도춘천시신사우동신사우동19동부아파트 정문 상가건물쪽강원특별자치도 춘천시 우두동 699-25그늘막(고정형)2024-04-17