Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory70.4 B

Variable types

Text4
DateTime1
Numeric2
Categorical1

Dataset

Description부산광역시해운대구_노인주간보호센터_20230517
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075570

Alerts

데이터기준일자 has constant value ""Constant
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:07:58.376970
Analysis finished2023-12-10 17:08:00.037333
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T02:08:00.290729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length10.9
Min length8

Characters and Unicode

Total characters327
Distinct characters92
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row(주)신세계 실버데이케어
2nd row(주)양지복지센터
3rd row다온실버복지센터
4th row㈜길데이케어센터
5th row살루스플러스데이케어
ValueCountFrequency (%)
주간보호센터 2
 
5.4%
주)신세계 1
 
2.7%
주)참조은재가복지센터 1
 
2.7%
주)한마음 1
 
2.7%
노인복지센터 1
 
2.7%
a+사랑드림 1
 
2.7%
재활주간보호센터 1
 
2.7%
살루스실버케어센터 1
 
2.7%
안심노인요양시설 1
 
2.7%
파랑새방문요양기관 1
 
2.7%
Other values (26) 26
70.3%
2023-12-11T02:08:00.824987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 30
 
9.2%
터 26
 
8.0%
주 16
 
4.9%
어 13
 
4.0%
지 11
 
3.4%
복 11
 
3.4%
인 10
 
3.1%
보 10
 
3.1%
간 10
 
3.1%
재 9
 
2.8%
Other values (82) 181
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
93.3%
Space Separator 7
 
2.1%
Close Punctuation 6
 
1.8%
Open Punctuation 6
 
1.8%
Lowercase Letter 1
 
0.3%
Math Symbol 1
 
0.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 30
 
9.8%
터 26
 
8.5%
주 16
 
5.2%
어 13
 
4.3%
지 11
 
3.6%
복 11
 
3.6%
인 10
 
3.3%
보 10
 
3.3%
간 10
 
3.3%
재 9
 
3.0%
Other values (76) 159
52.1%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 306
93.6%
Common 20
 
6.1%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 30
 
9.8%
터 26
 
8.5%
주 16
 
5.2%
어 13
 
4.2%
지 11
 
3.6%
복 11
 
3.6%
인 10
 
3.3%
보 10
 
3.3%
간 10
 
3.3%
재 9
 
2.9%
Other values (77) 160
52.3%
Common
ValueCountFrequency (%)
7
35.0%
) 6
30.0%
( 6
30.0%
+ 1
 
5.0%
Latin
ValueCountFrequency (%)
a 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
93.3%
ASCII 21
 
6.4%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 30
 
9.8%
터 26
 
8.5%
주 16
 
5.2%
어 13
 
4.3%
지 11
 
3.6%
복 11
 
3.6%
인 10
 
3.3%
보 10
 
3.3%
간 10
 
3.3%
재 9
 
3.0%
Other values (76) 159
52.1%
ASCII
ValueCountFrequency (%)
7
33.3%
) 6
28.6%
( 6
28.6%
a 1
 
4.8%
+ 1
 
4.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T02:08:01.208062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length32.833333
Min length18

Characters and Unicode

Total characters985
Distinct characters94
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row부산광역시 해운대구 세실로 87, 903호 (좌동, 영진파스타)
2nd row부산광역시 해운대구 송정중앙로 19, 2층 201호 (송정동, 코스마아파트)
3rd row부산광역시 해운대구 신반송로 203-6, 1~3층 (반송동)
4th row부산광역시 해운대구 양운로 92, 2~3층 (좌동, 나하나빌딩)
5th row부산광역시 해운대구 좌동로 88, 4층 (좌동, 울트라타워)
ValueCountFrequency (%)
부산광역시 30
 
15.9%
해운대구 30
 
15.9%
좌동 10
 
5.3%
반여동 5
 
2.6%
우동 4
 
2.1%
반송동 4
 
2.1%
재송동 4
 
2.1%
재반로 3
 
1.6%
2층 3
 
1.6%
양운로 3
 
1.6%
Other values (82) 93
49.2%
2023-12-11T02:08:01.814440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
 
16.1%
운 38
 
3.9%
, 37
 
3.8%
대 37
 
3.8%
해 34
 
3.5%
동 33
 
3.4%
부 30
 
3.0%
구 30
 
3.0%
로 30
 
3.0%
산 30
 
3.0%
Other values (84) 527
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 577
58.6%
Space Separator 159
 
16.1%
Decimal Number 145
 
14.7%
Other Punctuation 37
 
3.8%
Close Punctuation 29
 
2.9%
Open Punctuation 29
 
2.9%
Dash Punctuation 5
 
0.5%
Math Symbol 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
운 38
 
6.6%
대 37
 
6.4%
해 34
 
5.9%
동 33
 
5.7%
부 30
 
5.2%
구 30
 
5.2%
로 30
 
5.2%
산 30
 
5.2%
광 30
 
5.2%
시 30
 
5.2%
Other values (68) 255
44.2%
Decimal Number
ValueCountFrequency (%)
1 28
19.3%
2 25
17.2%
7 14
9.7%
5 12
8.3%
0 12
8.3%
9 12
8.3%
3 12
8.3%
4 11
 
7.6%
8 11
 
7.6%
6 8
 
5.5%
Space Separator
ValueCountFrequency (%)
159
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 577
58.6%
Common 408
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
운 38
 
6.6%
대 37
 
6.4%
해 34
 
5.9%
동 33
 
5.7%
부 30
 
5.2%
구 30
 
5.2%
로 30
 
5.2%
산 30
 
5.2%
광 30
 
5.2%
시 30
 
5.2%
Other values (68) 255
44.2%
Common
ValueCountFrequency (%)
159
39.0%
, 37
 
9.1%
) 29
 
7.1%
( 29
 
7.1%
1 28
 
6.9%
2 25
 
6.1%
7 14
 
3.4%
5 12
 
2.9%
0 12
 
2.9%
9 12
 
2.9%
Other values (6) 51
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 577
58.6%
ASCII 408
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
39.0%
, 37
 
9.1%
) 29
 
7.1%
( 29
 
7.1%
1 28
 
6.9%
2 25
 
6.1%
7 14
 
3.4%
5 12
 
2.9%
0 12
 
2.9%
9 12
 
2.9%
Other values (6) 51
 
12.5%
Hangul
ValueCountFrequency (%)
운 38
 
6.6%
대 37
 
6.4%
해 34
 
5.9%
동 33
 
5.7%
부 30
 
5.2%
구 30
 
5.2%
로 30
 
5.2%
산 30
 
5.2%
광 30
 
5.2%
시 30
 
5.2%
Other values (68) 255
44.2%

소재지지번주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T02:08:02.184055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length24.966667
Min length19

Characters and Unicode

Total characters749
Distinct characters63
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

Unique30 ?
Unique (%)100.0%

Sample

1st row부산광역시 해운대구 좌동 1461-7번지 903
2nd row부산광역시 해운대구 송정동 199-17번지 코스마아파트 802호
3rd row부산광역시 해운대구 반송동 210-5
4th row부산광역시 해운대구 좌동 1460-1
5th row부산광역시 해운대구 좌동 1461-1번지 4층 울트라타워
ValueCountFrequency (%)
부산광역시 30
21.0%
해운대구 30
21.0%
좌동 10
 
7.0%
반여동 5
 
3.5%
재송동 2
 
1.4%
재송1동 2
 
1.4%
5층 2
 
1.4%
우동 2
 
1.4%
640-24번지 1
 
0.7%
국제빌딩 1
 
0.7%
Other values (58) 58
40.6%
2023-12-11T02:08:02.803525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
15.6%
1 47
 
6.3%
대 32
 
4.3%
부 30
 
4.0%
광 30
 
4.0%
역 30
 
4.0%
시 30
 
4.0%
해 30
 
4.0%
운 30
 
4.0%
구 30
 
4.0%
Other values (53) 343
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
55.9%
Decimal Number 182
24.3%
Space Separator 117
 
15.6%
Dash Punctuation 25
 
3.3%
Other Punctuation 5
 
0.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 32
 
7.6%
부 30
 
7.2%
광 30
 
7.2%
역 30
 
7.2%
시 30
 
7.2%
해 30
 
7.2%
운 30
 
7.2%
구 30
 
7.2%
산 30
 
7.2%
동 30
 
7.2%
Other values (39) 117
27.9%
Decimal Number
ValueCountFrequency (%)
1 47
25.8%
2 28
15.4%
3 21
11.5%
0 20
11.0%
4 18
 
9.9%
6 12
 
6.6%
7 11
 
6.0%
5 10
 
5.5%
9 8
 
4.4%
8 7
 
3.8%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
55.9%
Common 330
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 32
 
7.6%
부 30
 
7.2%
광 30
 
7.2%
역 30
 
7.2%
시 30
 
7.2%
해 30
 
7.2%
운 30
 
7.2%
구 30
 
7.2%
산 30
 
7.2%
동 30
 
7.2%
Other values (39) 117
27.9%
Common
ValueCountFrequency (%)
117
35.5%
1 47
14.2%
2 28
 
8.5%
- 25
 
7.6%
3 21
 
6.4%
0 20
 
6.1%
4 18
 
5.5%
6 12
 
3.6%
7 11
 
3.3%
5 10
 
3.0%
Other values (4) 21
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
55.9%
ASCII 330
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
35.5%
1 47
14.2%
2 28
 
8.5%
- 25
 
7.6%
3 21
 
6.4%
0 20
 
6.1%
4 18
 
5.5%
6 12
 
3.6%
7 11
 
3.3%
5 10
 
3.0%
Other values (4) 21
 
6.4%
Hangul
ValueCountFrequency (%)
대 32
 
7.6%
부 30
 
7.2%
광 30
 
7.2%
역 30
 
7.2%
시 30
 
7.2%
해 30
 
7.2%
운 30
 
7.2%
구 30
 
7.2%
산 30
 
7.2%
동 30
 
7.2%
Other values (39) 117
27.9%

전화번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T02:08:03.126598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique30 ?
Unique (%)100.0%

Sample

1st row051-702-9400
2nd row051-702-6655
3rd row051-542-9980
4th row051-741-1109
5th row051-704-9988
ValueCountFrequency (%)
051-702-9400 1
 
3.3%
051-702-6655 1
 
3.3%
051-746-9983 1
 
3.3%
051-715-4663 1
 
3.3%
051-531-9980 1
 
3.3%
051-744-6993 1
 
3.3%
051-783-8890 1
 
3.3%
051-545-0115 1
 
3.3%
051-525-0777 1
 
3.3%
051-543-3001 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T02:08:03.759941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 62
17.2%
- 60
16.7%
1 53
14.7%
5 50
13.9%
7 27
7.5%
9 24
 
6.7%
4 22
 
6.1%
8 18
 
5.0%
3 18
 
5.0%
2 15
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
20.7%
1 53
17.7%
5 50
16.7%
7 27
9.0%
9 24
 
8.0%
4 22
 
7.3%
8 18
 
6.0%
3 18
 
6.0%
2 15
 
5.0%
6 11
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 62
17.2%
- 60
16.7%
1 53
14.7%
5 50
13.9%
7 27
7.5%
9 24
 
6.7%
4 22
 
6.1%
8 18
 
5.0%
3 18
 
5.0%
2 15
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 62
17.2%
- 60
16.7%
1 53
14.7%
5 50
13.9%
7 27
7.5%
9 24
 
6.7%
4 22
 
6.1%
8 18
 
5.0%
3 18
 
5.0%
2 15
 
4.2%

운영시작일자
Date

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum1995-03-02 00:00:00
Maximum2023-01-19 00:00:00
2023-12-11T02:08:04.023932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:08:04.244525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

위도
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.187421
Minimum35.161491
Maximum35.23024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T02:08:04.901772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.161491
5-th percentile35.167968
Q135.171353
median35.177315
Q335.204171
95-th percentile35.228383
Maximum35.23024
Range0.068749
Interquartile range (IQR)0.03281797

Descriptive statistics

Standard deviation0.02164282
Coefficient of variation (CV)0.00061507265
Kurtosis-0.62025452
Mean35.187421
Median Absolute Deviation (MAD)0.0091675
Skewness0.87342953
Sum1055.6226
Variance0.00046841168
MonotonicityNot monotonic
2023-12-11T02:08:05.164803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35.172331 1
 
3.3%
35.171652 1
 
3.3%
35.17164719 1
 
3.3%
35.1682089 1
 
3.3%
35.19134151 1
 
3.3%
35.205 1
 
3.3%
35.16786 1
 
3.3%
35.19504 1
 
3.3%
35.228903 1
 
3.3%
35.224658 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
35.161491 1
3.3%
35.16786 1
3.3%
35.168099 1
3.3%
35.168196 1
3.3%
35.1682089 1
3.3%
35.168875 1
3.3%
35.170481 1
3.3%
35.17125431 1
3.3%
35.17164719 1
3.3%
35.171652 1
3.3%
ValueCountFrequency (%)
35.23024 1
3.3%
35.228903 1
3.3%
35.227747 1
3.3%
35.224658 1
3.3%
35.220519 1
3.3%
35.205769 1
3.3%
35.205 1
3.3%
35.204658 1
3.3%
35.202708 1
3.3%
35.19504 1
3.3%

경도
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.15398
Minimum129.11596
Maximum129.20298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T02:08:05.448295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.11596
5-th percentile129.11996
Q1129.12876
median129.1559
Q3129.17539
95-th percentile129.17991
Maximum129.20298
Range0.087016
Interquartile range (IQR)0.046635125

Descriptive statistics

Standard deviation0.024029359
Coefficient of variation (CV)0.00018605202
Kurtosis-1.2083469
Mean129.15398
Median Absolute Deviation (MAD)0.0212141
Skewness-0.01603114
Sum3874.6195
Variance0.00057741008
MonotonicityNot monotonic
2023-12-11T02:08:05.750653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
129.175893 1
 
3.3%
129.174869 1
 
3.3%
129.1764402 1
 
3.3%
129.1751364 1
 
3.3%
129.1281713 1
 
3.3%
129.12 1
 
3.3%
129.14497 1
 
3.3%
129.13051 1
 
3.3%
129.158391 1
 
3.3%
129.14542 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
129.115965 1
3.3%
129.119933 1
3.3%
129.12 1
3.3%
129.126036 1
3.3%
129.126367 1
3.3%
129.127388 1
3.3%
129.127722 1
3.3%
129.1281713 1
3.3%
129.13051 1
3.3%
129.132343 1
3.3%
ValueCountFrequency (%)
129.202981 1
3.3%
129.180866 1
3.3%
129.178741 1
3.3%
129.17837 1
3.3%
129.177795 1
3.3%
129.1764402 1
3.3%
129.175893 1
3.3%
129.175476 1
3.3%
129.1751364 1
3.3%
129.1750204 1
3.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-05-17
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-17
2nd row2023-05-17
3rd row2023-05-17
4th row2023-05-17
5th row2023-05-17

Common Values

ValueCountFrequency (%)
2023-05-17 30
100.0%

Length

2023-12-11T02:08:05.975145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:08:06.138446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-17 30
100.0%

Interactions

2023-12-11T02:07:59.296785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:58.954810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:59.463767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:59.134605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:08:06.262376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지도로명주소소재지지번주소전화번호운영시작일자위도경도
시설명1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
운영시작일자1.0001.0001.0001.0001.0000.4720.797
위도1.0001.0001.0001.0000.4721.0000.731
경도1.0001.0001.0001.0000.7970.7311.000
2023-12-11T02:08:06.486517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.483
경도-0.4831.000

Missing values

2023-12-11T02:07:59.716618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:07:59.951370image/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

시설명소재지도로명주소소재지지번주소전화번호운영시작일자위도경도데이터기준일자
0(주)신세계 실버데이케어부산광역시 해운대구 세실로 87, 903호 (좌동, 영진파스타)부산광역시 해운대구 좌동 1461-7번지 903051-702-94002019-10-0135.172331129.1758932023-05-17
1(주)양지복지센터부산광역시 해운대구 송정중앙로 19, 2층 201호 (송정동, 코스마아파트)부산광역시 해운대구 송정동 199-17번지 코스마아파트 802호051-702-66552019-02-2835.183197129.2029812023-05-17
2다온실버복지센터부산광역시 해운대구 신반송로 203-6, 1~3층 (반송동)부산광역시 해운대구 반송동 210-5051-542-99802021-02-2335.23024129.157412023-05-17
3㈜길데이케어센터부산광역시 해운대구 양운로 92, 2~3층 (좌동, 나하나빌딩)부산광역시 해운대구 좌동 1460-1051-741-11092022-09-2635.171254129.175022023-05-17
4살루스플러스데이케어부산광역시 해운대구 좌동로 88, 4층 (좌동, 울트라타워)부산광역시 해운대구 좌동 1461-1번지 4층 울트라타워051-704-99882019-10-0135.171999129.1750012023-05-17
5센텀라파 주간보호센터부산광역시 해운대구 재반로 107, 3층 4층 (재송동)부산광역시 해운대구 재송동 1061-6051-783-11122020-02-1135.18805129.1260362023-05-17
6센텀효사랑재가복지센터부산광역시 해운대구 선수촌로 104-10, 6층,7층 (반여동)부산광역시 해운대구 반여동 1206-39번지 7층 선수촌빌딩051-532-12302019-10-0135.202708129.1199332023-05-17
7센텀효어르신데이케어센터부산광역시 해운대구 해운대로295번길 15, 1층 (우동)부산광역시 해운대구 우2동 1229-7051-741-61632019-12-1835.174786129.1323432023-05-17
8어진샘주간노인복지센터부산광역시 해운대구 재반로12번길 16 (재송동)부산광역시 해운대구 재송1동 100051-784-80081999-01-2535.179844129.1277222023-05-17
9에젤 주야간보호센터부산광역시 해운대구 세실로27번길 13, 2층 (좌동, 선린빌딩)부산광역시 해운대구 좌동 1483-3번지 선린빌딩 2층051-704-49942019-12-1635.168099129.178372023-05-17
시설명소재지도로명주소소재지지번주소전화번호운영시작일자위도경도데이터기준일자
20살루스실버케어센터부산광역시 해운대구 세실로27번길 23, 10층 (좌동, 샤인빌딩)부산광역시 해운대구 좌2동 세실로27번길 23 샤인빌딩 10층051-704-99662017-04-0735.168875129.1777952023-05-17
21안심노인요양시설부산광역시 해운대구 아랫반송로89번길 8 (반송동)부산광역시 해운대구 반송3동 250-2253051-543-30012008-07-1035.220519129.1532722023-05-17
22(주)참조은재가복지센터부산광역시 해운대구 반송로 797 (석대동)부산광역시 해운대구 석대동 10-8번지051-525-07772018-04-2335.224658129.145422023-05-17
23파랑새방문요양기관부산광역시 해운대구 신반송로 21 (반송동)부산광역시 해운대구 반송2동 233-4051-545-01152008-08-1935.228903129.1583912023-05-17
24사랑채주간보호센터부산광역시 해운대구 재반로 199, 5층 (반여동, 새아빌딩)부산광역시 해운대구 반여동 1291-832, 5층051-783-88902021-05-3135.19504129.130512023-05-17
25정담시니어 주간보호센터부산광역시 해운대구 해운대로469번나길 69, 2~5층 (우동, 호현빌딩)부산광역시 해운대구 우동 1537, 2~5층051-744-69932021-07-2135.16786129.144972023-05-17
26명품재활주간보호센터부산광역시 해운대구 반여로155번길 17-12 (반여동)부산광역시 해운대구 반여동 1237-10051-531-99802021-11-2935.205129.122023-05-17
27(주)센텀보라데이케어센터부산광역시 해운대구 재반로 150, 302호 (재송동, 보라스카이타운)부산광역시 해운대구 재송동 1145-1, 302호051-715-46632022-06-2335.191342129.1281712023-05-17
28청솔노인주간보호센터부산광역시 해운대구 해운대로774번길 11, 8층 (좌동)부산광역시 해운대구 좌동 1473-5, 8층051-746-99832022-10-2035.168209129.1751362023-05-17
29(주)대교 뉴이프데이케어센터해운대센터부산광역시 해운대구 세실로 79, 5층 (좌동, 대교빌딩)부산광역시 해운대구 좌동 1466-2, 5층051-711-93092023-01-1935.171647129.176442023-05-17