Overview

Dataset statistics

Number of variables10
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory87.3 B

Variable types

Text4
Categorical5
Numeric1

Dataset

Description경상남도 양산시 미세먼지쉼터에 대한 자료로 쉼터명칭, 신주소, 구주소, 시설유형, 이용가능인원, 시설연락처, 운영시간, 주말공휴일운영시간 데이터를 제공합니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15105470/fileData.do

Alerts

시설유형 is highly overall correlated with 주말공휴일운영시작시간 and 1 other fieldsHigh correlation
주말공휴일운영종료시간 is highly overall correlated with 시설유형 and 3 other fieldsHigh correlation
주말공휴일운영시작시간 is highly overall correlated with 시설유형 and 3 other fieldsHigh correlation
운영시작시간 is highly overall correlated with 운영종료시간 and 2 other fieldsHigh correlation
운영종료시간 is highly overall correlated with 운영시작시간 and 2 other fieldsHigh correlation
시설유형 is highly imbalanced (54.6%)Imbalance
운영시작시간 is highly imbalanced (65.4%)Imbalance
운영종료시간 is highly imbalanced (54.4%)Imbalance
쉼터명칭 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique
시설연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:27:02.817514
Analysis finished2023-12-12 20:27:03.622358
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

쉼터명칭
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T05:27:03.765115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length6.047619
Min length5

Characters and Unicode

Total characters127
Distinct characters42
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row청룡경로당
2nd row소남경로당
3rd row회현경로당
4th row신북정경로당
5th row서이동마을경로당
ValueCountFrequency (%)
청룡경로당 1
 
4.8%
영천경로당 1
 
4.8%
서창동행정복지센터 1
 
4.8%
벽산마을경로당 1
 
4.8%
신동중1경로당 1
 
4.8%
동중경로당 1
 
4.8%
서남경로당 1
 
4.8%
신기경로당 1
 
4.8%
상리경로당 1
 
4.8%
서부경로당 1
 
4.8%
Other values (11) 11
52.4%
2023-12-13T05:27:04.138441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 19
15.0%
로 19
15.0%
당 19
15.0%
동 7
 
5.5%
서 5
 
3.9%
을 4
 
3.1%
마 4
 
3.1%
정 3
 
2.4%
신 3
 
2.4%
중 2
 
1.6%
Other values (32) 42
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
99.2%
Decimal Number 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 19
15.1%
로 19
15.1%
당 19
15.1%
동 7
 
5.6%
서 5
 
4.0%
을 4
 
3.2%
마 4
 
3.2%
정 3
 
2.4%
신 3
 
2.4%
중 2
 
1.6%
Other values (31) 41
32.5%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 19
15.1%
로 19
15.1%
당 19
15.1%
동 7
 
5.6%
서 5
 
4.0%
을 4
 
3.2%
마 4
 
3.2%
정 3
 
2.4%
신 3
 
2.4%
중 2
 
1.6%
Other values (31) 41
32.5%
Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
99.2%
ASCII 1
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 19
15.1%
로 19
15.1%
당 19
15.1%
동 7
 
5.6%
서 5
 
4.0%
을 4
 
3.2%
마 4
 
3.2%
정 3
 
2.4%
신 3
 
2.4%
중 2
 
1.6%
Other values (31) 41
32.5%
ASCII
ValueCountFrequency (%)
1 1
100.0%

도로명주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T05:27:04.383606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length24
Min length15

Characters and Unicode

Total characters504
Distinct characters64
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

Unique21 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 물금읍 가촌로 155
2nd row경상남도 양산시 소남1길 14 소남마을회관
3rd row경상남도 양산시 교동1길 58 회현마을회관
4th row경상남도 양산시 신북정길 15-24
5th row경상남도 양산시 양주3길 4 _ 양주3길 1
ValueCountFrequency (%)
경상남도 21
 
16.9%
양산시 21
 
16.9%
8
 
6.5%
물금읍 7
 
5.6%
동면 3
 
2.4%
신평4길 2
 
1.6%
7 2
 
1.6%
증산1길 2
 
1.6%
가촌새터2길 2
 
1.6%
양주3길 2
 
1.6%
Other values (49) 54
43.5%
2023-12-13T05:27:04.829169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
20.4%
남 25
 
5.0%
산 25
 
5.0%
1 24
 
4.8%
상 23
 
4.6%
길 23
 
4.6%
양 23
 
4.6%
경 22
 
4.4%
시 21
 
4.2%
도 21
 
4.2%
Other values (54) 194
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
61.1%
Space Separator 103
 
20.4%
Decimal Number 81
 
16.1%
Connector Punctuation 8
 
1.6%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 25
 
8.1%
산 25
 
8.1%
상 23
 
7.5%
길 23
 
7.5%
양 23
 
7.5%
경 22
 
7.1%
시 21
 
6.8%
도 21
 
6.8%
동 12
 
3.9%
물 7
 
2.3%
Other values (41) 106
34.4%
Decimal Number
ValueCountFrequency (%)
1 24
29.6%
2 12
14.8%
4 11
13.6%
3 10
12.3%
5 9
 
11.1%
8 4
 
4.9%
7 4
 
4.9%
0 3
 
3.7%
9 2
 
2.5%
6 2
 
2.5%
Space Separator
ValueCountFrequency (%)
103
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
61.1%
Common 196
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 25
 
8.1%
산 25
 
8.1%
상 23
 
7.5%
길 23
 
7.5%
양 23
 
7.5%
경 22
 
7.1%
시 21
 
6.8%
도 21
 
6.8%
동 12
 
3.9%
물 7
 
2.3%
Other values (41) 106
34.4%
Common
ValueCountFrequency (%)
103
52.6%
1 24
 
12.2%
2 12
 
6.1%
4 11
 
5.6%
3 10
 
5.1%
5 9
 
4.6%
_ 8
 
4.1%
8 4
 
2.0%
7 4
 
2.0%
- 4
 
2.0%
Other values (3) 7
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
61.1%
ASCII 196
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
52.6%
1 24
 
12.2%
2 12
 
6.1%
4 11
 
5.6%
3 10
 
5.1%
5 9
 
4.6%
_ 8
 
4.1%
8 4
 
2.0%
7 4
 
2.0%
- 4
 
2.0%
Other values (3) 7
 
3.6%
Hangul
ValueCountFrequency (%)
남 25
 
8.1%
산 25
 
8.1%
상 23
 
7.5%
길 23
 
7.5%
양 23
 
7.5%
경 22
 
7.1%
시 21
 
6.8%
도 21
 
6.8%
동 12
 
3.9%
물 7
 
2.3%
Other values (41) 106
34.4%

지번주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T05:27:05.055640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length29.333333
Min length24

Characters and Unicode

Total characters616
Distinct characters56
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

Unique21 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 경상남도 양산시 물금읍 가촌리 800
2nd row경상남도 양산시 경상남도 양산시 소주동 105
3rd row경상남도 양산시 경상남도 양산시 교동 281
4th row경상남도 양산시 경상남도 양산시 북정동 206
5th row경상남도 양산시 경상남도 양산시 중부동 665-3
ValueCountFrequency (%)
경상남도 42
30.0%
양산시 42
30.0%
물금읍 7
 
5.0%
범어리 3
 
2.1%
동면 3
 
2.1%
중부동 2
 
1.4%
가촌리 2
 
1.4%
소주동 1
 
0.7%
1022-14 1
 
0.7%
여락리 1
 
0.7%
Other values (36) 36
25.7%
2023-12-13T05:27:05.452271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
19.3%
산 45
 
7.3%
상 43
 
7.0%
경 42
 
6.8%
남 42
 
6.8%
도 42
 
6.8%
양 42
 
6.8%
시 42
 
6.8%
1 16
 
2.6%
리 14
 
2.3%
Other values (46) 169
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 399
64.8%
Space Separator 119
 
19.3%
Decimal Number 85
 
13.8%
Dash Punctuation 13
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 45
11.3%
상 43
10.8%
경 42
10.5%
남 42
10.5%
도 42
10.5%
양 42
10.5%
시 42
10.5%
리 14
 
3.5%
동 13
 
3.3%
물 8
 
2.0%
Other values (34) 66
16.5%
Decimal Number
ValueCountFrequency (%)
1 16
18.8%
5 10
11.8%
0 10
11.8%
6 10
11.8%
2 9
10.6%
8 9
10.6%
4 7
8.2%
7 7
8.2%
3 5
 
5.9%
9 2
 
2.4%
Space Separator
ValueCountFrequency (%)
119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 399
64.8%
Common 217
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 45
11.3%
상 43
10.8%
경 42
10.5%
남 42
10.5%
도 42
10.5%
양 42
10.5%
시 42
10.5%
리 14
 
3.5%
동 13
 
3.3%
물 8
 
2.0%
Other values (34) 66
16.5%
Common
ValueCountFrequency (%)
119
54.8%
1 16
 
7.4%
- 13
 
6.0%
5 10
 
4.6%
0 10
 
4.6%
6 10
 
4.6%
2 9
 
4.1%
8 9
 
4.1%
4 7
 
3.2%
7 7
 
3.2%
Other values (2) 7
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 399
64.8%
ASCII 217
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
54.8%
1 16
 
7.4%
- 13
 
6.0%
5 10
 
4.6%
0 10
 
4.6%
6 10
 
4.6%
2 9
 
4.1%
8 9
 
4.1%
4 7
 
3.2%
7 7
 
3.2%
Other values (2) 7
 
3.2%
Hangul
ValueCountFrequency (%)
산 45
11.3%
상 43
10.8%
경 42
10.5%
남 42
10.5%
도 42
10.5%
양 42
10.5%
시 42
10.5%
리 14
 
3.5%
동 13
 
3.3%
물 8
 
2.0%
Other values (34) 66
16.5%

시설유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
노인시설
19 
주민센터
2 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인시설 19
90.5%
주민센터 2
 
9.5%

Length

2023-12-13T05:27:05.612120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:27:05.716568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인시설 19
90.5%
주민센터 2
 
9.5%

이용가능인원(명)
Real number (ℝ)

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.047619
Minimum10
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T05:27:05.833955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15
Q122
median30
Q347
95-th percentile52
Maximum60
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.333444
Coefficient of variation (CV)0.43372093
Kurtosis-1.035771
Mean33.047619
Median Absolute Deviation (MAD)10
Skewness0.27252767
Sum694
Variance205.44762
MonotonicityNot monotonic
2023-12-13T05:27:05.981794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
30 2
 
9.5%
15 2
 
9.5%
20 2
 
9.5%
50 2
 
9.5%
47 1
 
4.8%
26 1
 
4.8%
51 1
 
4.8%
22 1
 
4.8%
52 1
 
4.8%
41 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
10 1
4.8%
15 2
9.5%
20 2
9.5%
22 1
4.8%
25 1
4.8%
26 1
4.8%
27 1
4.8%
30 2
9.5%
31 1
4.8%
32 1
4.8%
ValueCountFrequency (%)
60 1
4.8%
52 1
4.8%
51 1
4.8%
50 2
9.5%
47 1
4.8%
41 1
4.8%
40 1
4.8%
32 1
4.8%
31 1
4.8%
30 2
9.5%

시설연락처
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T05:27:06.222878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique21 ?
Unique (%)100.0%

Sample

1st row055-366-6617
2nd row055-363-0214
3rd row055-392-7404
4th row055-363-0037
5th row055-384-8015
ValueCountFrequency (%)
055-366-6617 1
 
4.8%
055-381-8201 1
 
4.8%
055-392-6703 1
 
4.8%
055-387-4043 1
 
4.8%
055-367-4568 1
 
4.8%
055-385-3961 1
 
4.8%
055-387-2103 1
 
4.8%
055-384-4524 1
 
4.8%
055-383-9734 1
 
4.8%
055-384-4177 1
 
4.8%
Other values (11) 11
52.4%
2023-12-13T05:27:06.550133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 50
19.8%
- 42
16.7%
0 36
14.3%
3 35
13.9%
4 18
 
7.1%
7 14
 
5.6%
8 14
 
5.6%
6 12
 
4.8%
1 12
 
4.8%
2 11
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 50
23.8%
0 36
17.1%
3 35
16.7%
4 18
 
8.6%
7 14
 
6.7%
8 14
 
6.7%
6 12
 
5.7%
1 12
 
5.7%
2 11
 
5.2%
9 8
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 50
19.8%
- 42
16.7%
0 36
14.3%
3 35
13.9%
4 18
 
7.1%
7 14
 
5.6%
8 14
 
5.6%
6 12
 
4.8%
1 12
 
4.8%
2 11
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 50
19.8%
- 42
16.7%
0 36
14.3%
3 35
13.9%
4 18
 
7.1%
7 14
 
5.6%
8 14
 
5.6%
6 12
 
4.8%
1 12
 
4.8%
2 11
 
4.4%

운영시작시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
09:00
19 
10:00
 
1
13:00
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row 09:00
2nd row 09:00
3rd row 10:00
4th row 09:00
5th row 09:00

Common Values

ValueCountFrequency (%)
09:00 19
90.5%
10:00 1
 
4.8%
13:00 1
 
4.8%

Length

2023-12-13T05:27:06.677544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:27:06.778281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 19
90.5%
10:00 1
 
4.8%
13:00 1
 
4.8%

운영종료시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
18:00
18 
17:00
2 
20:00
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row 18:00
2nd row 18:00
3rd row 17:00
4th row 18:00
5th row 18:00

Common Values

ValueCountFrequency (%)
18:00 18
85.7%
17:00 2
 
9.5%
20:00 1
 
4.8%

Length

2023-12-13T05:27:06.876409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:27:06.969838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 18
85.7%
17:00 2
 
9.5%
20:00 1
 
4.8%

주말공휴일운영시작시간
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
09:00
10 
<NA>
8 
10:00
2 
13:00
 
1

Length

Max length6
Median length6
Mean length5.2380952
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row 09:00
2nd row<NA>
3rd row 10:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
09:00 10
47.6%
<NA> 8
38.1%
10:00 2
 
9.5%
13:00 1
 
4.8%

Length

2023-12-13T05:27:07.081565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:27:07.208395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 10
47.6%
na 8
38.1%
10:00 2
 
9.5%
13:00 1
 
4.8%

주말공휴일운영종료시간
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
18:00
9 
<NA>
8 
17:00
3 
20:00
1 

Length

Max length6
Median length6
Mean length5.2380952
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row 18:00
2nd row<NA>
3rd row 17:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
18:00 9
42.9%
<NA> 8
38.1%
17:00 3
 
14.3%
20:00 1
 
4.8%

Length

2023-12-13T05:27:07.342514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:27:07.450784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00 9
42.9%
na 8
38.1%
17:00 3
 
14.3%
20:00 1
 
4.8%

Interactions

2023-12-13T05:27:03.248645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:27:07.807730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
쉼터명칭도로명주소지번주소시설유형이용가능인원(명)시설연락처운영시작시간운영종료시간주말공휴일운영시작시간주말공휴일운영종료시간
쉼터명칭1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설유형1.0001.0001.0001.0000.0001.0000.0000.000NaNNaN
이용가능인원(명)1.0001.0001.0000.0001.0001.0000.8290.7540.2560.675
시설연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
운영시작시간1.0001.0001.0000.0000.8291.0001.0000.9840.9790.960
운영종료시간1.0001.0001.0000.0000.7541.0000.9841.0000.9440.990
주말공휴일운영시작시간1.0001.0001.000NaN0.2561.0000.9790.9441.0000.990
주말공휴일운영종료시간1.0001.0001.000NaN0.6751.0000.9600.9900.9901.000
2023-12-13T05:27:07.938803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형운영시작시간주말공휴일운영종료시간운영종료시간주말공휴일운영시작시간
시설유형1.0000.0001.0000.0001.000
운영시작시간0.0001.0000.7510.8410.820
주말공휴일운영종료시간1.0000.7511.0000.8720.872
운영종료시간0.0000.8410.8721.0000.704
주말공휴일운영시작시간1.0000.8200.8720.7041.000
2023-12-13T05:27:08.048951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용가능인원(명)시설유형운영시작시간운영종료시간주말공휴일운영시작시간주말공휴일운영종료시간
이용가능인원(명)1.0000.0000.0000.0000.0000.000
시설유형0.0001.0000.0000.0001.0001.000
운영시작시간0.0000.0001.0000.8410.8200.751
운영종료시간0.0000.0000.8411.0000.7040.872
주말공휴일운영시작시간0.0001.0000.8200.7041.0000.872
주말공휴일운영종료시간0.0001.0000.7510.8720.8721.000

Missing values

2023-12-13T05:27:03.384106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:27:03.562041image/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

쉼터명칭도로명주소지번주소시설유형이용가능인원(명)시설연락처운영시작시간운영종료시간주말공휴일운영시작시간주말공휴일운영종료시간
0청룡경로당경상남도 양산시 물금읍 가촌로 155경상남도 양산시 경상남도 양산시 물금읍 가촌리 800노인시설60055-366-661709:0018:0009:0018:00
1소남경로당경상남도 양산시 소남1길 14 소남마을회관경상남도 양산시 경상남도 양산시 소주동 105노인시설50055-363-021409:0018:00<NA><NA>
2회현경로당경상남도 양산시 교동1길 58 회현마을회관경상남도 양산시 경상남도 양산시 교동 281노인시설15055-392-740410:0017:0010:0017:00
3신북정경로당경상남도 양산시 신북정길 15-24경상남도 양산시 경상남도 양산시 북정동 206노인시설20055-363-003709:0018:00<NA><NA>
4서이동마을경로당경상남도 양산시 양주3길 4 _ 양주3길 1경상남도 양산시 경상남도 양산시 중부동 665-3노인시설25055-384-801509:0018:00<NA><NA>
5서일동경로당경상남도 양산시 서일동2길 30경상남도 양산시 경상남도 양산시 중부동 600-20노인시설31055-392-730309:0018:00<NA><NA>
6북부마을경로당경상남도 양산시 하북면 신평4길 7 _ 신평4길 10경상남도 양산시 경상남도 양산시 하북면 순지리 671노인시설32055-392-725309:0018:00<NA><NA>
7윗반회경로당경상남도 양산시 상북면 상북면 반회동7길 7경상남도 양산시 경상남도 양산시 상북면 석계리 74-58노인시설27055-374-433509:0018:0010:0017:00
8원동마을경로당경상남도 양산시 원동면 원동마을길 63 _ 원동마을길 65경상남도 양산시 경상남도 양산시 원동면 원리 857-11노인시설40055-381-500009:0018:0009:0018:00
9내송경로당경상남도 양산시 동면 내송2길 13-1경상남도 양산시 경상남도 양산시 동면 내송리 269노인시설30055-392-710409:0017:0009:0017:00
쉼터명칭도로명주소지번주소시설유형이용가능인원(명)시설연락처운영시작시간운영종료시간주말공휴일운영시작시간주말공휴일운영종료시간
11영천경로당경상남도 양산시 동면 영천로 124경상남도 양산시 경상남도 양산시 동면 여락리 39노인시설10055-381-820113:0020:0013:0020:00
12서부경로당경상남도 양산시 물금읍 화산길 51-15경상남도 양산시 경상남도 양산시 물금읍 물금리 774-155노인시설47055-384-417709:0018:0009:0018:00
13상리경로당경상남도 양산시 물금읍 증산1길 33 _ 증산1길 31경상남도 양산시 경상남도 양산시 물금읍 증산리 515-43노인시설41055-383-973409:0018:0009:0018:00
14신기경로당경상남도 양산시 물금읍 가촌새터2길 28 _ 가촌새터2길 29경상남도 양산시 경상남도 양산시 물금읍 가촌리 480-6노인시설52055-384-452409:0018:0009:0018:00
15서남경로당경상남도 양산시 물금읍 서남4길 10 _ 서남4길 8경상남도 양산시 경상남도 양산시 물금읍 범어리 1022-14노인시설22055-387-210309:0018:0009:0018:00
16동중경로당경상남도 양산시 물금읍 동중5길 24 _ 동중5길 24-1경상남도 양산시 경상남도 양산시 물금읍 범어리 721-1노인시설51055-385-396109:0018:0009:0018:00
17신동중1경로당경상남도 양산시 물금읍 오봉로 128 _ 신동중1리마을회관경상남도 양산시 경상남도 양산시 물금읍 범어리 678-6 신동중1리마을회관노인시설26055-367-456809:0018:0009:0018:00
18벽산마을경로당경상남도 양산시 덕계11길 12경상남도 양산시 경상남도 양산시 덕계동 881노인시설30055-387-404309:0018:00<NA><NA>
19서창동행정복지센터경상남도 양산시 서창로 194경상남도 양산시 경상남도 양산시 삼호동 535-10주민센터20055-392-670309:0018:00<NA><NA>
20평산동행정복지센터경상남도 양산시 평산로 71경상남도 양산시 경상남도 양산시 평산동 486-2주민센터50055-392-680109:0018:00<NA><NA>