Overview

Dataset statistics

Number of variables14
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory117.2 B

Variable types

Categorical7
Text2
Numeric3
Boolean2

Dataset

Description부산광역시동래구_미세먼지쉼터현황_20230712
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15116779

Alerts

구군명 has constant value ""Constant
시설유형 has constant value ""Constant
지정공간 has constant value ""Constant
공기청정 설비 유무 has constant value ""Constant
환기시설 설비 유무 has constant value ""Constant
데이터기준일자 has constant value ""Constant
운영시간(평일) is highly overall correlated with 운영시간(주말) and 1 other fieldsHigh correlation
운영시간(주말) is highly overall correlated with 운영시간(평일) and 1 other fieldsHigh correlation
운영시간(공휴일) is highly overall correlated with 운영시간(평일) and 1 other fieldsHigh correlation
쉼터명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:32:36.859864
Analysis finished2023-12-10 16:32:38.636222
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
부산광역시 동래구
61 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 동래구
2nd row부산광역시 동래구
3rd row부산광역시 동래구
4th row부산광역시 동래구
5th row부산광역시 동래구

Common Values

ValueCountFrequency (%)
부산광역시 동래구 61
100.0%

Length

2023-12-11T01:32:38.691529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:38.777528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 61
50.0%
동래구 61
50.0%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
노인시설
61 

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 61
100.0%

Length

2023-12-11T01:32:38.863624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:38.947047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인시설 61
100.0%

쉼터명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T01:32:39.114554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length8.0983607
Min length5

Characters and Unicode

Total characters494
Distinct characters93
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row동래구노인복지관
2nd row낙민경로당
3rd row동산경로당
4th row한양복지경로당
5th row수안할머니경로당
ValueCountFrequency (%)
경로당 2
 
3.2%
동래구노인복지관 1
 
1.6%
락천경로당 1
 
1.6%
사직삼환나우빌경로당 1
 
1.6%
여고할아버지경로당 1
 
1.6%
여고할머니경로당 1
 
1.6%
여명할아버지경로당 1
 
1.6%
여명할머니경로당 1
 
1.6%
동원경로당 1
 
1.6%
사직3동할아버지경로당 1
 
1.6%
Other values (52) 52
82.5%
2023-12-11T01:32:39.494407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 60
 
12.1%
당 60
 
12.1%
로 60
 
12.1%
할 31
 
6.3%
아 19
 
3.8%
지 18
 
3.6%
니 17
 
3.4%
머 17
 
3.4%
버 14
 
2.8%
동 12
 
2.4%
Other values (83) 186
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 483
97.8%
Decimal Number 9
 
1.8%
Space Separator 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 60
 
12.4%
당 60
 
12.4%
로 60
 
12.4%
할 31
 
6.4%
아 19
 
3.9%
지 18
 
3.7%
니 17
 
3.5%
머 17
 
3.5%
버 14
 
2.9%
동 12
 
2.5%
Other values (79) 175
36.2%
Decimal Number
ValueCountFrequency (%)
2 4
44.4%
1 3
33.3%
3 2
22.2%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 483
97.8%
Common 11
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 60
 
12.4%
당 60
 
12.4%
로 60
 
12.4%
할 31
 
6.4%
아 19
 
3.9%
지 18
 
3.7%
니 17
 
3.5%
머 17
 
3.5%
버 14
 
2.9%
동 12
 
2.5%
Other values (79) 175
36.2%
Common
ValueCountFrequency (%)
2 4
36.4%
1 3
27.3%
2
18.2%
3 2
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 483
97.8%
ASCII 11
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 60
 
12.4%
당 60
 
12.4%
로 60
 
12.4%
할 31
 
6.4%
아 19
 
3.9%
지 18
 
3.7%
니 17
 
3.5%
머 17
 
3.5%
버 14
 
2.9%
동 12
 
2.5%
Other values (79) 175
36.2%
ASCII
ValueCountFrequency (%)
2 4
36.4%
1 3
27.3%
2
18.2%
3 2
18.2%

도로명주소
Text

Distinct46
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T01:32:39.784636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length28.57377
Min length23

Characters and Unicode

Total characters1743
Distinct characters101
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

Unique31 ?
Unique (%)50.8%

Sample

1st row부산광역시 동래구 명륜로207번길 18 (명륜동)
2nd row부산광역시 동래구 반송로175번길 13 (낙민동)
3rd row부산광역시 동래구 반송로175번길 13 (낙민동)
4th row부산광역시 동래구 충렬대로 314 (낙민동, 한양아파트)
5th row부산광역시 동래구 온천천로337번길 87-16 (수안동)
ValueCountFrequency (%)
부산광역시 61
18.8%
동래구 61
18.8%
사직동 15
 
4.6%
안락동 11
 
3.4%
명장동 8
 
2.5%
명륜동 8
 
2.5%
온천동 8
 
2.5%
낙민동 4
 
1.2%
복천동 3
 
0.9%
쇠미로 3
 
0.9%
Other values (106) 143
44.0%
2023-12-11T01:32:40.259712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
 
15.1%
동 130
 
7.5%
래 68
 
3.9%
시 65
 
3.7%
산 63
 
3.6%
1 62
 
3.6%
부 61
 
3.5%
( 61
 
3.5%
구 61
 
3.5%
역 61
 
3.5%
Other values (91) 847
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1049
60.2%
Decimal Number 272
 
15.6%
Space Separator 264
 
15.1%
Open Punctuation 61
 
3.5%
Close Punctuation 61
 
3.5%
Dash Punctuation 22
 
1.3%
Other Punctuation 14
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 130
 
12.4%
래 68
 
6.5%
시 65
 
6.2%
산 63
 
6.0%
부 61
 
5.8%
구 61
 
5.8%
역 61
 
5.8%
광 61
 
5.8%
로 59
 
5.6%
길 44
 
4.2%
Other values (76) 376
35.8%
Decimal Number
ValueCountFrequency (%)
1 62
22.8%
3 36
13.2%
4 31
11.4%
5 25
9.2%
7 25
9.2%
2 24
 
8.8%
8 23
 
8.5%
9 18
 
6.6%
6 15
 
5.5%
0 13
 
4.8%
Space Separator
ValueCountFrequency (%)
264
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1049
60.2%
Common 694
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 130
 
12.4%
래 68
 
6.5%
시 65
 
6.2%
산 63
 
6.0%
부 61
 
5.8%
구 61
 
5.8%
역 61
 
5.8%
광 61
 
5.8%
로 59
 
5.6%
길 44
 
4.2%
Other values (76) 376
35.8%
Common
ValueCountFrequency (%)
264
38.0%
1 62
 
8.9%
( 61
 
8.8%
) 61
 
8.8%
3 36
 
5.2%
4 31
 
4.5%
5 25
 
3.6%
7 25
 
3.6%
2 24
 
3.5%
8 23
 
3.3%
Other values (5) 82
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1049
60.2%
ASCII 694
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
38.0%
1 62
 
8.9%
( 61
 
8.8%
) 61
 
8.8%
3 36
 
5.2%
4 31
 
4.5%
5 25
 
3.6%
7 25
 
3.6%
2 24
 
3.5%
8 23
 
3.3%
Other values (5) 82
 
11.8%
Hangul
ValueCountFrequency (%)
동 130
 
12.4%
래 68
 
6.5%
시 65
 
6.2%
산 63
 
6.0%
부 61
 
5.8%
구 61
 
5.8%
역 61
 
5.8%
광 61
 
5.8%
로 59
 
5.6%
길 44
 
4.2%
Other values (76) 376
35.8%

위도
Real number (ℝ)

Distinct46
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.304027
Minimum35.189957
Maximum37.490197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T01:32:40.452334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.189957
5-th percentile35.19519
Q135.198449
median35.201729
Q335.210234
95-th percentile35.222523
Maximum37.490197
Range2.3002403
Interquartile range (IQR)0.0117852

Descriptive statistics

Standard deviation0.45112385
Coefficient of variation (CV)0.012778255
Kurtosis18.593557
Mean35.304027
Median Absolute Deviation (MAD)0.0044294
Skewness4.4267039
Sum2153.5457
Variance0.20351273
MonotonicityNot monotonic
2023-12-11T01:32:40.665334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
35.1981217 2
 
3.3%
35.2070301 2
 
3.3%
35.2005328 2
 
3.3%
35.1984487 2
 
3.3%
35.2037161 2
 
3.3%
35.2005943 2
 
3.3%
35.1899565 2
 
3.3%
35.1966299 2
 
3.3%
35.203573 2
 
3.3%
35.1972997 2
 
3.3%
Other values (36) 41
67.2%
ValueCountFrequency (%)
35.1899565 2
3.3%
35.1950509 1
1.6%
35.1951901 1
1.6%
35.1966299 2
3.3%
35.1972879 1
1.6%
35.1972997 2
3.3%
35.1973219 2
3.3%
35.1976965 1
1.6%
35.1981217 2
3.3%
35.1983928 1
1.6%
ValueCountFrequency (%)
37.4901968 1
1.6%
37.4421345 1
1.6%
36.810992 1
1.6%
35.2225231 1
1.6%
35.2196276 1
1.6%
35.2168331 1
1.6%
35.2139601 1
1.6%
35.212606 1
1.6%
35.2123823 1
1.6%
35.2120914 1
1.6%

경도
Real number (ℝ)

Distinct46
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.97496
Minimum126.69831
Maximum129.11288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T01:32:40.827381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.69831
5-th percentile129.05286
Q1129.06725
median129.08409
Q3129.09826
95-th percentile129.10795
Maximum129.11288
Range2.4145666
Interquartile range (IQR)0.0310036

Descriptive statistics

Standard deviation0.48906408
Coefficient of variation (CV)0.0037919306
Kurtosis17.517604
Mean128.97496
Median Absolute Deviation (MAD)0.014525
Skewness-4.3293821
Sum7867.4723
Variance0.23918368
MonotonicityNot monotonic
2023-12-11T01:32:41.036268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
129.0629887 2
 
3.3%
129.0840946 2
 
3.3%
129.1026156 2
 
3.3%
129.0725633 2
 
3.3%
129.0615331 2
 
3.3%
129.0606664 2
 
3.3%
129.1128816 2
 
3.3%
129.107952 2
 
3.3%
129.1060129 2
 
3.3%
129.094429 2
 
3.3%
Other values (36) 41
67.2%
ValueCountFrequency (%)
126.698315 1
1.6%
126.7114746 1
1.6%
127.1502723 1
1.6%
129.0528627 1
1.6%
129.0546388 1
1.6%
129.0553572 1
1.6%
129.0553604 1
1.6%
129.0606664 2
3.3%
129.0615331 2
3.3%
129.0629887 2
3.3%
ValueCountFrequency (%)
129.1128816 2
3.3%
129.1097983 1
1.6%
129.107952 2
3.3%
129.1060129 2
3.3%
129.1051053 1
1.6%
129.1026156 2
3.3%
129.1023043 1
1.6%
129.1016328 2
3.3%
129.1011231 1
1.6%
129.0986196 1
1.6%

지정공간
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
거실
61 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
거실 61
100.0%

Length

2023-12-11T01:32:41.221749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:41.329158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거실 61
100.0%

수용규모(명)
Real number (ℝ)

Distinct25
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.229508
Minimum1
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T01:32:41.455917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q112
median16
Q321
95-th percentile32
Maximum101
Range100
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.604403
Coefficient of variation (CV)0.7462847
Kurtosis22.948721
Mean18.229508
Median Absolute Deviation (MAD)5
Skewness4.1017538
Sum1112
Variance185.07978
MonotonicityNot monotonic
2023-12-11T01:32:41.614292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
16 9
14.8%
21 7
 
11.5%
8 4
 
6.6%
19 4
 
6.6%
15 4
 
6.6%
9 4
 
6.6%
13 4
 
6.6%
12 2
 
3.3%
32 2
 
3.3%
14 2
 
3.3%
Other values (15) 19
31.1%
ValueCountFrequency (%)
1 1
 
1.6%
4 1
 
1.6%
7 1
 
1.6%
8 4
6.6%
9 4
6.6%
10 2
3.3%
11 2
3.3%
12 2
3.3%
13 4
6.6%
14 2
3.3%
ValueCountFrequency (%)
101 1
 
1.6%
49 1
 
1.6%
43 1
 
1.6%
32 2
 
3.3%
29 1
 
1.6%
27 1
 
1.6%
25 2
 
3.3%
24 1
 
1.6%
21 7
11.5%
20 1
 
1.6%

운영시간(평일)
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
09:00~18:00
30 
10:00~16:00
10 
13:00~18:00
5 
12:00~17:00
 
3
12:00~19:00
 
3
Other values (9)
10 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique8 ?
Unique (%)13.1%

Sample

1st row09:00~18:00
2nd row09:30~17:00
3rd row10:00~16:00
4th row10:00~16:00
5th row10:00~18:00

Common Values

ValueCountFrequency (%)
09:00~18:00 30
49.2%
10:00~16:00 10
 
16.4%
13:00~18:00 5
 
8.2%
12:00~17:00 3
 
4.9%
12:00~19:00 3
 
4.9%
14:00~18:00 2
 
3.3%
09:30~17:00 1
 
1.6%
10:00~18:00 1
 
1.6%
11:00~17:00 1
 
1.6%
09:00~19:00 1
 
1.6%
Other values (4) 4
 
6.6%

Length

2023-12-11T01:32:41.763249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00~18:00 30
49.2%
10:00~16:00 10
 
16.4%
13:00~18:00 5
 
8.2%
12:00~17:00 3
 
4.9%
12:00~19:00 3
 
4.9%
14:00~18:00 2
 
3.3%
09:30~17:00 1
 
1.6%
10:00~18:00 1
 
1.6%
11:00~17:00 1
 
1.6%
09:00~19:00 1
 
1.6%
Other values (4) 4
 
6.6%

운영시간(주말)
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
31 
10:00~16:00
7 
09:00~18:00
6 
13:00~18:00
5 
12:00~17:00
 
3
Other values (6)
9 

Length

Max length11
Median length4
Mean length7.442623
Min length4

Unique

Unique4 ?
Unique (%)6.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
50.8%
10:00~16:00 7
 
11.5%
09:00~18:00 6
 
9.8%
13:00~18:00 5
 
8.2%
12:00~17:00 3
 
4.9%
12:00~19:00 3
 
4.9%
14:00~18:00 2
 
3.3%
09:00~22:00 1
 
1.6%
12:00~18:00 1
 
1.6%
13:00~17:00 1
 
1.6%

Length

2023-12-11T01:32:41.937685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 31
50.8%
10:00~16:00 7
 
11.5%
09:00~18:00 6
 
9.8%
13:00~18:00 5
 
8.2%
12:00~17:00 3
 
4.9%
12:00~19:00 3
 
4.9%
14:00~18:00 2
 
3.3%
09:00~22:00 1
 
1.6%
12:00~18:00 1
 
1.6%
13:00~17:00 1
 
1.6%

운영시간(공휴일)
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
31 
10:00~16:00
7 
09:00~18:00
6 
13:00~18:00
5 
12:00~17:00
 
3
Other values (6)
9 

Length

Max length11
Median length4
Mean length7.442623
Min length4

Unique

Unique4 ?
Unique (%)6.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
50.8%
10:00~16:00 7
 
11.5%
09:00~18:00 6
 
9.8%
13:00~18:00 5
 
8.2%
12:00~17:00 3
 
4.9%
12:00~19:00 3
 
4.9%
14:00~18:00 2
 
3.3%
09:00~22:00 1
 
1.6%
12:00~18:00 1
 
1.6%
13:00~17:00 1
 
1.6%

Length

2023-12-11T01:32:42.111823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 31
50.8%
10:00~16:00 7
 
11.5%
09:00~18:00 6
 
9.8%
13:00~18:00 5
 
8.2%
12:00~17:00 3
 
4.9%
12:00~19:00 3
 
4.9%
14:00~18:00 2
 
3.3%
09:00~22:00 1
 
1.6%
12:00~18:00 1
 
1.6%
13:00~17:00 1
 
1.6%

공기청정 설비 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size193.0 B
True
61 
ValueCountFrequency (%)
True 61
100.0%
2023-12-11T01:32:42.237460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

환기시설 설비 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size193.0 B
False
61 
ValueCountFrequency (%)
False 61
100.0%
2023-12-11T01:32:42.339811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-07-12
61 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-12
2nd row2023-07-12
3rd row2023-07-12
4th row2023-07-12
5th row2023-07-12

Common Values

ValueCountFrequency (%)
2023-07-12 61
100.0%

Length

2023-12-11T01:32:42.467749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:42.584085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-12 61
100.0%

Interactions

2023-12-11T01:32:37.786917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:32:37.312085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:32:37.548000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:32:37.878602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:32:37.380084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:32:37.631821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:32:38.284604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:32:37.454751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:32:37.706773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:32:42.670773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
쉼터명도로명주소위도경도수용규모(명)운영시간(평일)운영시간(주말)운영시간(공휴일)
쉼터명1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0000.9940.8180.9190.919
위도1.0001.0001.0001.0000.7580.0000.0000.000
경도1.0001.0001.0001.0000.7580.0000.0000.000
수용규모(명)1.0000.9940.7580.7581.0000.0000.8360.836
운영시간(평일)1.0000.8180.0000.0000.0001.0001.0001.000
운영시간(주말)1.0000.9190.0000.0000.8361.0001.0001.000
운영시간(공휴일)1.0000.9190.0000.0000.8361.0001.0001.000
2023-12-11T01:32:42.862644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시간(평일)운영시간(주말)운영시간(공휴일)
운영시간(평일)1.0001.0001.000
운영시간(주말)1.0001.0001.000
운영시간(공휴일)1.0001.0001.000
2023-12-11T01:32:42.990564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도수용규모(명)운영시간(평일)운영시간(주말)운영시간(공휴일)
위도1.000-0.2910.1050.0000.0000.000
경도-0.2911.0000.0530.0000.0000.000
수용규모(명)0.1050.0531.0000.0000.4640.464
운영시간(평일)0.0000.0000.0001.0001.0001.000
운영시간(주말)0.0000.0000.4641.0001.0001.000
운영시간(공휴일)0.0000.0000.4641.0001.0001.000

Missing values

2023-12-11T01:32:38.392513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:32:38.571803image/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

구군명시설유형쉼터명도로명주소위도경도지정공간수용규모(명)운영시간(평일)운영시간(주말)운영시간(공휴일)공기청정 설비 유무환기시설 설비 유무데이터기준일자
0부산광역시 동래구노인시설동래구노인복지관부산광역시 동래구 명륜로207번길 18 (명륜동)35.212382129.081947거실2009:00~18:00<NA><NA>YN2023-07-12
1부산광역시 동래구노인시설낙민경로당부산광역시 동래구 반송로175번길 13 (낙민동)35.1973129.094429거실909:30~17:00<NA><NA>YN2023-07-12
2부산광역시 동래구노인시설동산경로당부산광역시 동래구 반송로175번길 13 (낙민동)35.1973129.094429거실1010:00~16:00<NA><NA>YN2023-07-12
3부산광역시 동래구노인시설한양복지경로당부산광역시 동래구 충렬대로 314 (낙민동, 한양아파트)35.198393129.092343거실810:00~16:00<NA><NA>YN2023-07-12
4부산광역시 동래구노인시설수안할머니경로당부산광역시 동래구 온천천로337번길 87-16 (수안동)35.197322129.087512거실1610:00~18:00<NA><NA>YN2023-07-12
5부산광역시 동래구노인시설수안할아버지경로당부산광역시 동래구 온천천로337번길 87-16 (수안동)35.197322129.087512거실1611:00~17:00<NA><NA>YN2023-07-12
6부산광역시 동래구노인시설벽산아파트경로당부산광역시 동래구 안남로 47 (낙민동, 동래벽산아파트)35.195051129.097212거실2710:00~16:00<NA><NA>YN2023-07-12
7부산광역시 동래구노인시설읍성경로당부산광역시 동래구 복천로41번나길 14-15 (복천동)35.20799129.090034거실2109:00~18:00<NA><NA>YN2023-07-12
8부산광역시 동래구노인시설복산경로당부산광역시 동래구 동래로159번길 121 (칠산동)35.206964129.093161거실1109:00~19:00<NA><NA>YN2023-07-12
9부산광역시 동래구노인시설동래경로당부산광역시 동래구 동래로148번길 5 (복천동)35.204336129.086516거실709:00~18:00<NA><NA>YN2023-07-12
구군명시설유형쉼터명도로명주소위도경도지정공간수용규모(명)운영시간(평일)운영시간(주말)운영시간(공휴일)공기청정 설비 유무환기시설 설비 유무데이터기준일자
51부산광역시 동래구노인시설화현할머니경로당부산광역시 동래구 화현길 21-9 (안락동)35.19663129.107952거실1509:00~18:00<NA><NA>YN2023-07-12
52부산광역시 동래구노인시설화현할아버지경로당부산광역시 동래구 화현길 21-9 (안락동)35.19663129.107952거실109:00~18:00<NA><NA>YN2023-07-12
53부산광역시 동래구노인시설명장할머니경로당부산광역시 동래구 명장로48번길 28 (명장동)35.203573129.106013거실2512:00~19:0012:00~19:0012:00~19:00YN2023-07-12
54부산광역시 동래구노인시설명장할아버지경로당부산광역시 동래구 명장로48번길 28 (명장동)35.203573129.106013거실2512:00~19:0012:00~19:0012:00~19:00YN2023-07-12
55부산광역시 동래구노인시설옥봉 경로당부산광역시 동래구 명장로63번길 124-16 (명장동)35.209672129.105105거실2114:00~18:0014:00~18:0014:00~18:00YN2023-07-12
56부산광역시 동래구노인시설명장2동할아버지경로당부산광역시 동래구 명서로105번길 74 (명장동)35.211067129.101633거실1312:00~18:0012:00~18:0012:00~18:00YN2023-07-12
57부산광역시 동래구노인시설아림파크경로당부산광역시 동래구 반송로341번길 68-2 (명장동)35.211358129.101123거실3213:00~17:0013:00~17:0013:00~17:00YN2023-07-12
58부산광역시 동래구노인시설세실할머니경로당부산광역시 동래구 시실로135번길 41-5 (명장동)35.210472129.098091거실1612:00~17:0012:00~17:0012:00~17:00YN2023-07-12
59부산광역시 동래구노인시설세실할아버지경로당부산광역시 동래구 시실로135번길 41-5 (명장동)35.210472129.098091거실1613:00~15:0013:00~15:0013:00~15:00YN2023-07-12
60부산광역시 동래구노인시설명장2동할머니경로당부산광역시 동래구 명서로105번길 74 (명장동)35.211067129.101633거실1812:00~19:0012:00~19:0012:00~19:00YN2023-07-12