Overview

Dataset statistics

Number of variables11
Number of observations305
Missing cells725
Missing cells (%)21.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.6 KiB
Average record size in memory89.4 B

Variable types

Text5
Categorical5
Unsupported1

Dataset

Description경상남도 의령군 13개 읍면에 소재하고 있는 마을회관명, 소재지의 주소, 건축연도, 규모, 전화번호 정보를 제공합니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15032056

Alerts

소재지지번주소 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
건립일자 is highly overall correlated with 영업상태명High correlation
영업상태명 is highly overall correlated with 건립일자High correlation
시설유형 is highly imbalanced (87.0%)Imbalance
영업상태명 is highly imbalanced (96.8%)Imbalance
소재지지번주소 has 304 (99.7%) missing valuesMissing
위도 has 305 (100.0%) missing valuesMissing
전화번호 has 113 (37.0%) missing valuesMissing
위도 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 00:53:58.803651
Analysis finished2023-12-11 00:53:59.662232
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct277
Distinct (%)91.1%
Missing1
Missing (%)0.3%
Memory size2.5 KiB
2023-12-11T09:53:59.981545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.3552632
Min length2

Characters and Unicode

Total characters1324
Distinct characters163
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

Unique260 ?
Unique (%)85.5%

Sample

1st row 신우희가로
2nd row 서신
3rd row 주공
4th row 서본
5th row 땅고
ValueCountFrequency (%)
신기 6
 
2.0%
상촌 4
 
1.3%
평촌 3
 
1.0%
중촌 3
 
1.0%
신촌 3
 
1.0%
두곡 3
 
1.0%
적곡 2
 
0.7%
운곡 2
 
0.7%
당동 2
 
0.7%
방계 2
 
0.7%
Other values (267) 274
90.1%
2023-12-11T09:54:00.563480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
606
45.8%
곡 47
 
3.5%
구 34
 
2.6%
신 28
 
2.1%
상 25
 
1.9%
산 25
 
1.9%
동 24
 
1.8%
촌 19
 
1.4%
하 14
 
1.1%
성 14
 
1.1%
Other values (153) 488
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 695
52.5%
Space Separator 606
45.8%
Decimal Number 19
 
1.4%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
곡 47
 
6.8%
구 34
 
4.9%
신 28
 
4.0%
상 25
 
3.6%
산 25
 
3.6%
동 24
 
3.5%
촌 19
 
2.7%
하 14
 
2.0%
성 14
 
2.0%
암 13
 
1.9%
Other values (147) 452
65.0%
Decimal Number
ValueCountFrequency (%)
1 10
52.6%
2 8
42.1%
3 1
 
5.3%
Space Separator
ValueCountFrequency (%)
606
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 695
52.5%
Common 629
47.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
곡 47
 
6.8%
구 34
 
4.9%
신 28
 
4.0%
상 25
 
3.6%
산 25
 
3.6%
동 24
 
3.5%
촌 19
 
2.7%
하 14
 
2.0%
성 14
 
2.0%
암 13
 
1.9%
Other values (147) 452
65.0%
Common
ValueCountFrequency (%)
606
96.3%
1 10
 
1.6%
2 8
 
1.3%
( 2
 
0.3%
) 2
 
0.3%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 695
52.5%
ASCII 629
47.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
606
96.3%
1 10
 
1.6%
2 8
 
1.3%
( 2
 
0.3%
) 2
 
0.3%
3 1
 
0.2%
Hangul
ValueCountFrequency (%)
곡 47
 
6.8%
구 34
 
4.9%
신 28
 
4.0%
상 25
 
3.6%
산 25
 
3.6%
동 24
 
3.5%
촌 19
 
2.7%
하 14
 
2.0%
성 14
 
2.0%
암 13
 
1.9%
Other values (147) 452
65.0%

시설유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
경로당
296 
마을회관
 
8
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0295082
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
경로당 296
97.0%
마을회관 8
 
2.6%
<NA> 1
 
0.3%

Length

2023-12-11T09:54:00.700453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:54:00.802405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 296
97.0%
마을회관 8
 
2.6%
na 1
 
0.3%

소재지도로명주소
Text

Distinct302
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Memory size2.5 KiB
2023-12-11T09:54:01.066411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length19.516447
Min length5

Characters and Unicode

Total characters5933
Distinct characters115
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

Unique301 ?
Unique (%)99.0%

Sample

1st row경남 의령군 의령읍 행복로 7
2nd row경남 의령군 의령읍 의병로9길 18
3rd row경남 의령군 의령읍 의병로9길 25-6(주공)
4th row경남 의령군 의령읍 서동리 301-22
5th row경남 의령군 의령읍 의병로9동길 23
ValueCountFrequency (%)
경남 303
20.0%
의령군 303
20.0%
지정면 32
 
2.1%
부림면 32
 
2.1%
의령읍 32
 
2.1%
용덕면 26
 
1.7%
봉수면 24
 
1.6%
유곡면 24
 
1.6%
궁류면 24
 
1.6%
대의면 21
 
1.4%
Other values (449) 697
45.9%
2023-12-11T09:54:01.497792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1261
21.3%
의 397
 
6.7%
령 335
 
5.6%
남 315
 
5.3%
경 304
 
5.1%
군 303
 
5.1%
면 271
 
4.6%
로 270
 
4.6%
1 237
 
4.0%
길 231
 
3.9%
Other values (105) 2009
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3570
60.2%
Space Separator 1261
 
21.3%
Decimal Number 1001
 
16.9%
Dash Punctuation 99
 
1.7%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 397
11.1%
령 335
 
9.4%
남 315
 
8.8%
경 304
 
8.5%
군 303
 
8.5%
면 271
 
7.6%
로 270
 
7.6%
길 231
 
6.5%
정 118
 
3.3%
곡 71
 
2.0%
Other values (91) 955
26.8%
Decimal Number
ValueCountFrequency (%)
1 237
23.7%
2 154
15.4%
4 105
10.5%
3 104
10.4%
6 77
 
7.7%
5 77
 
7.7%
9 67
 
6.7%
7 63
 
6.3%
0 61
 
6.1%
8 56
 
5.6%
Space Separator
ValueCountFrequency (%)
1261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3570
60.2%
Common 2363
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 397
11.1%
령 335
 
9.4%
남 315
 
8.8%
경 304
 
8.5%
군 303
 
8.5%
면 271
 
7.6%
로 270
 
7.6%
길 231
 
6.5%
정 118
 
3.3%
곡 71
 
2.0%
Other values (91) 955
26.8%
Common
ValueCountFrequency (%)
1261
53.4%
1 237
 
10.0%
2 154
 
6.5%
4 105
 
4.4%
3 104
 
4.4%
- 99
 
4.2%
6 77
 
3.3%
5 77
 
3.3%
9 67
 
2.8%
7 63
 
2.7%
Other values (4) 119
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3570
60.2%
ASCII 2363
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1261
53.4%
1 237
 
10.0%
2 154
 
6.5%
4 105
 
4.4%
3 104
 
4.4%
- 99
 
4.2%
6 77
 
3.3%
5 77
 
3.3%
9 67
 
2.8%
7 63
 
2.7%
Other values (4) 119
 
5.0%
Hangul
ValueCountFrequency (%)
의 397
11.1%
령 335
 
9.4%
남 315
 
8.8%
경 304
 
8.5%
군 303
 
8.5%
면 271
 
7.6%
로 270
 
7.6%
길 231
 
6.5%
정 118
 
3.3%
곡 71
 
2.0%
Other values (91) 955
26.8%

소재지지번주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing304
Missing (%)99.7%
Memory size2.5 KiB
2023-12-11T09:54:01.666524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters20
Distinct characters15
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

Unique1 ?
Unique (%)100.0%

Sample

1st row경남 의령군 지정면 봉곡리 663-6
ValueCountFrequency (%)
경남 1
20.0%
의령군 1
20.0%
지정면 1
20.0%
봉곡리 1
20.0%
663-6 1
20.0%
2023-12-11T09:54:01.912710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
20.0%
6 3
15.0%
경 1
 
5.0%
남 1
 
5.0%
의 1
 
5.0%
령 1
 
5.0%
군 1
 
5.0%
지 1
 
5.0%
정 1
 
5.0%
면 1
 
5.0%
Other values (5) 5
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
55.0%
Space Separator 4
 
20.0%
Decimal Number 4
 
20.0%
Dash Punctuation 1
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1
9.1%
남 1
9.1%
의 1
9.1%
령 1
9.1%
군 1
9.1%
지 1
9.1%
정 1
9.1%
면 1
9.1%
봉 1
9.1%
곡 1
9.1%
Decimal Number
ValueCountFrequency (%)
6 3
75.0%
3 1
 
25.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
55.0%
Common 9
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1
9.1%
남 1
9.1%
의 1
9.1%
령 1
9.1%
군 1
9.1%
지 1
9.1%
정 1
9.1%
면 1
9.1%
봉 1
9.1%
곡 1
9.1%
Common
ValueCountFrequency (%)
4
44.4%
6 3
33.3%
3 1
 
11.1%
- 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
55.0%
ASCII 9
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
44.4%
6 3
33.3%
3 1
 
11.1%
- 1
 
11.1%
Hangul
ValueCountFrequency (%)
경 1
9.1%
남 1
9.1%
의 1
9.1%
령 1
9.1%
군 1
9.1%
지 1
9.1%
정 1
9.1%
면 1
9.1%
봉 1
9.1%
곡 1
9.1%

위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing305
Missing (%)100.0%
Memory size2.8 KiB

영업상태명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
운영중
304 
휴지중
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 304
99.7%
휴지중 1
 
0.3%

Length

2023-12-11T09:54:02.018199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:54:02.119383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 304
99.7%
휴지중 1
 
0.3%

전화번호
Text

MISSING 

Distinct189
Distinct (%)98.4%
Missing113
Missing (%)37.0%
Memory size2.5 KiB
2023-12-11T09:54:02.330288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.40625
Min length12

Characters and Unicode

Total characters2382
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

Unique186 ?
Unique (%)96.9%

Sample

1st row055-572-3351
2nd row055-574-1133
3rd row055-573-2595
4th row055-573-4747
5th row055-572-3591
ValueCountFrequency (%)
055-572-0306 2
 
1.0%
055-572-6006 2
 
1.0%
055-572-9644 2
 
1.0%
055-573-0212 2
 
1.0%
055-573-4671 1
 
0.5%
055-574-5199 1
 
0.5%
055-574-1766 1
 
0.5%
055-574-0106 1
 
0.5%
055-574-5569 1
 
0.5%
055-574-0332 1
 
0.5%
Other values (178) 178
92.7%
2023-12-11T09:54:02.732291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 655
27.5%
- 384
16.1%
0 296
12.4%
7 275
11.5%
3 141
 
5.9%
2 135
 
5.7%
4 112
 
4.7%
1 84
 
3.5%
6 80
 
3.4%
78
 
3.3%
Other values (2) 142
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1920
80.6%
Dash Punctuation 384
 
16.1%
Space Separator 78
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 655
34.1%
0 296
15.4%
7 275
14.3%
3 141
 
7.3%
2 135
 
7.0%
4 112
 
5.8%
1 84
 
4.4%
6 80
 
4.2%
9 74
 
3.9%
8 68
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 384
100.0%
Space Separator
ValueCountFrequency (%)
78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2382
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 655
27.5%
- 384
16.1%
0 296
12.4%
7 275
11.5%
3 141
 
5.9%
2 135
 
5.7%
4 112
 
4.7%
1 84
 
3.5%
6 80
 
3.4%
78
 
3.3%
Other values (2) 142
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 655
27.5%
- 384
16.1%
0 296
12.4%
7 275
11.5%
3 141
 
5.9%
2 135
 
5.7%
4 112
 
4.7%
1 84
 
3.5%
6 80
 
3.4%
78
 
3.3%
Other values (2) 142
 
6.0%

건립일자
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2002년도
35 
2001년도
30 
2003년도
20 
2008년도
 
18
1999년도
 
18
Other values (43)
184 

Length

Max length6
Median length6
Mean length5.9934426
Min length4

Unique

Unique11 ?
Unique (%)3.6%

Sample

1st row2018년도
2nd row2002년도
3rd row2008년도
4th row2014년도
5th row2019년도

Common Values

ValueCountFrequency (%)
2002년도 35
 
11.5%
2001년도 30
 
9.8%
2003년도 20
 
6.6%
2008년도 18
 
5.9%
1999년도 18
 
5.9%
1998년도 17
 
5.6%
2005년도 14
 
4.6%
2000년도 13
 
4.3%
2009년도 12
 
3.9%
2007년도 11
 
3.6%
Other values (38) 117
38.4%

Length

2023-12-11T09:54:02.875125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2002년도 35
 
11.5%
2001년도 30
 
9.8%
2003년도 20
 
6.6%
2008년도 18
 
5.9%
1999년도 18
 
5.9%
1998년도 17
 
5.6%
2005년도 14
 
4.6%
2000년도 13
 
4.3%
2009년도 12
 
3.9%
2007년도 11
 
3.6%
Other values (38) 117
38.4%

건물면적
Text

Distinct280
Distinct (%)92.1%
Missing1
Missing (%)0.3%
Memory size2.5 KiB
2023-12-11T09:54:03.222876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.7138158
Min length3

Characters and Unicode

Total characters1737
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)85.9%

Sample

1st row152.8㎡
2nd row129.56㎡
3rd row113.517㎡
4th row161㎡
5th row31.5㎡
ValueCountFrequency (%)
66㎡ 4
 
1.3%
88.58㎡ 3
 
1.0%
99㎡ 3
 
1.0%
90㎡ 3
 
1.0%
82㎡ 2
 
0.7%
69.12㎡ 2
 
0.7%
76.5㎡ 2
 
0.7%
73.68㎡ 2
 
0.7%
82.8㎡ 2
 
0.7%
27㎡ 2
 
0.7%
Other values (270) 279
91.8%
2023-12-11T09:54:03.717173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 304
17.5%
. 263
15.1%
1 178
10.2%
8 153
8.8%
9 151
8.7%
6 131
7.5%
2 109
 
6.3%
7 101
 
5.8%
5 98
 
5.6%
4 93
 
5.4%
Other values (2) 156
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1170
67.4%
Other Symbol 304
 
17.5%
Other Punctuation 263
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 178
15.2%
8 153
13.1%
9 151
12.9%
6 131
11.2%
2 109
9.3%
7 101
8.6%
5 98
8.4%
4 93
7.9%
3 84
7.2%
0 72
6.2%
Other Symbol
ValueCountFrequency (%)
㎡ 304
100.0%
Other Punctuation
ValueCountFrequency (%)
. 263
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1737
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 304
17.5%
. 263
15.1%
1 178
10.2%
8 153
8.8%
9 151
8.7%
6 131
7.5%
2 109
 
6.3%
7 101
 
5.8%
5 98
 
5.6%
4 93
 
5.4%
Other values (2) 156
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1433
82.5%
CJK Compat 304
 
17.5%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 304
100.0%
ASCII
ValueCountFrequency (%)
. 263
18.4%
1 178
12.4%
8 153
10.7%
9 151
10.5%
6 131
9.1%
2 109
7.6%
7 101
 
7.0%
5 98
 
6.8%
4 93
 
6.5%
3 84
 
5.9%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
의령군 주민생활지원과
305 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의령군 주민생활지원과
2nd row의령군 주민생활지원과
3rd row의령군 주민생활지원과
4th row의령군 주민생활지원과
5th row의령군 주민생활지원과

Common Values

ValueCountFrequency (%)
의령군 주민생활지원과 305
100.0%

Length

2023-12-11T09:54:03.866616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:54:03.955841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의령군 305
50.0%
주민생활지원과 305
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-10-04
305 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-04
2nd row2023-10-04
3rd row2023-10-04
4th row2023-10-04
5th row2023-10-04

Common Values

ValueCountFrequency (%)
2023-10-04 305
100.0%

Length

2023-12-11T09:54:04.076390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:54:04.445780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-04 305
100.0%

Correlations

2023-12-11T09:54:04.498576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형영업상태명건립일자
시설유형1.0000.0000.000
영업상태명0.0001.000NaN
건립일자0.000NaN1.000
2023-12-11T09:54:04.605330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건립일자시설유형영업상태명
건립일자1.0000.0001.000
시설유형0.0001.0000.000
영업상태명1.0000.0001.000
2023-12-11T09:54:04.687996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형영업상태명건립일자
시설유형1.0000.0000.000
영업상태명0.0001.0001.000
건립일자0.0001.0001.000

Missing values

2023-12-11T09:53:59.192713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:53:59.442043image/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.
2023-12-11T09:53:59.583595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시설명시설유형소재지도로명주소소재지지번주소위도영업상태명전화번호건립일자건물면적관리기관명데이터기준일자
0신우희가로경로당경남 의령군 의령읍 행복로 7<NA><NA>운영중<NA>2018년도152.8㎡의령군 주민생활지원과2023-10-04
1서신경로당경남 의령군 의령읍 의병로9길 18<NA><NA>운영중055-572-33512002년도129.56㎡의령군 주민생활지원과2023-10-04
2주공경로당경남 의령군 의령읍 의병로9길 25-6(주공)<NA><NA>운영중055-574-11332008년도113.517㎡의령군 주민생활지원과2023-10-04
3서본경로당경남 의령군 의령읍 서동리 301-22<NA><NA>운영중055-573-25952014년도161㎡의령군 주민생활지원과2023-10-04
4땅고경로당경남 의령군 의령읍 의병로9동길 23<NA><NA>운영중<NA>2019년도31.5㎡의령군 주민생활지원과2023-10-04
5서부경로당경남 의령군 의령읍 의병로17길 5<NA><NA>운영중055-573-47472011년도82㎡의령군 주민생활지원과2023-10-04
6가야경로당경남 의령군 의령읍 충익로 77-3<NA><NA>운영중055-572-35911979년도49.59㎡의령군 주민생활지원과2023-10-04
7중본경로당경남 의령군 의령읍 충익로 38-8<NA><NA>운영중055-572-03881984년도197㎡의령군 주민생활지원과2023-10-04
8상동경로당경남 의령군 의령읍 의병로19길 38-1<NA><NA>운영중055-573-68811982년도116.015㎡의령군 주민생활지원과2023-10-04
9동본경로당경남 의령군 의령읍 의병로23길 6-20<NA><NA>운영중055-572-22421977년도62.64㎡의령군 주민생활지원과2023-10-04
시설명시설유형소재지도로명주소소재지지번주소위도영업상태명전화번호건립일자건물면적관리기관명데이터기준일자
295세간2구경로당경남 의령군 유곡면 세간2길 23-8<NA><NA>운영중055-574-00751977년도162.71㎡의령군 주민생활지원과2023-10-04
296가례마을복지회관마을회관경남 의령군 의령읍 중리로 15<NA><NA>운영중<NA>2006년도345.86㎡의령군 주민생활지원과2023-10-04
297운암학구복지회관마을회관경남 의령군 가례면 의병로 40<NA><NA>운영중<NA>2012년도190.8㎡의령군 주민생활지원과2023-10-04
298적곡마을회관경남 의령군 가례면 홍의로6길 12<NA><NA>운영중<NA>2005년도130.31㎡의령군 주민생활지원과2023-10-04
299성당마을회관경남 의령군 정곡면 강변로4길 33<NA><NA>운영중<NA>2009년도91.81㎡의령군 주민생활지원과2023-10-04
300오산마을회관경남 의령군 지정면 강변로7길 10-10<NA><NA>운영중<NA>2001년도100.83㎡의령군 주민생활지원과2023-10-04
301서암마을회관경남 의령군 봉수면 대한로 778<NA><NA>운영중<NA>2009년도91.77㎡의령군 주민생활지원과2023-10-04
302죽전1구마을회관경남 의령군 봉수면 대한로 886<NA><NA>운영중<NA>2004년도163.69㎡의령군 주민생활지원과2023-10-04
303서득상암평마을회관경남 의령군 봉수면 대한로 1223<NA><NA>운영중<NA>2003년도118.31㎡의령군 주민생활지원과2023-10-04
304<NA><NA>경남 의령군 봉수면 천혜로 128-3<NA><NA>운영중<NA>2008년도52.2㎡의령군 주민생활지원과2023-10-04