Overview

Dataset statistics

Number of variables9
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory79.9 B

Variable types

Numeric3
Text4
DateTime2

Dataset

Description노인주간보호센터_20200428
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075570

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
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 17:08:08.988093
Analysis finished2023-12-10 17:08:11.466376
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-11T02:08:11.618743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2023-12-11T02:08:11.866540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

시설명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T02:08:12.289236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length10.518519
Min length7

Characters and Unicode

Total characters284
Distinct characters86
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row(주)신세계 실버데이케어
2nd row(주)양지복지센터
3rd row다온실버복지센터
4th row길주간보호센터
5th row살루스플러스데이케어
ValueCountFrequency (%)
주간보호센터 2
 
5.6%
주)신세계 1
 
2.8%
살루스실버케어센터 1
 
2.8%
화인 1
 
2.8%
시니어데이케어센터 1
 
2.8%
주)한마음 1
 
2.8%
노인복지센터 1
 
2.8%
a+사랑드림 1
 
2.8%
재활주간보호센터 1
 
2.8%
안심노인요양시설 1
 
2.8%
Other values (25) 25
69.4%
2023-12-11T02:08:12.935556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 25
 
8.8%
터 22
 
7.7%
어 12
 
4.2%
주 12
 
4.2%
복 11
 
3.9%
지 11
 
3.9%
간 9
 
3.2%
9
 
3.2%
인 9
 
3.2%
보 8
 
2.8%
Other values (76) 156
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
94.0%
Space Separator 9
 
3.2%
Open Punctuation 3
 
1.1%
Close Punctuation 3
 
1.1%
Lowercase Letter 1
 
0.4%
Math Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 25
 
9.4%
터 22
 
8.2%
어 12
 
4.5%
주 12
 
4.5%
복 11
 
4.1%
지 11
 
4.1%
간 9
 
3.4%
인 9
 
3.4%
보 8
 
3.0%
재 8
 
3.0%
Other values (71) 140
52.4%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
94.0%
Common 16
 
5.6%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 25
 
9.4%
터 22
 
8.2%
어 12
 
4.5%
주 12
 
4.5%
복 11
 
4.1%
지 11
 
4.1%
간 9
 
3.4%
인 9
 
3.4%
보 8
 
3.0%
재 8
 
3.0%
Other values (71) 140
52.4%
Common
ValueCountFrequency (%)
9
56.2%
( 3
 
18.8%
) 3
 
18.8%
+ 1
 
6.2%
Latin
ValueCountFrequency (%)
a 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
94.0%
ASCII 17
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 25
 
9.4%
터 22
 
8.2%
어 12
 
4.5%
주 12
 
4.5%
복 11
 
4.1%
지 11
 
4.1%
간 9
 
3.4%
인 9
 
3.4%
보 8
 
3.0%
재 8
 
3.0%
Other values (71) 140
52.4%
ASCII
ValueCountFrequency (%)
9
52.9%
( 3
 
17.6%
) 3
 
17.6%
a 1
 
5.9%
+ 1
 
5.9%

소재지도로명주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T02:08:13.338188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length33.037037
Min length18

Characters and Unicode

Total characters892
Distinct characters91
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

Unique27 ?
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 해운대로774번길 11, 8층 (좌동, 해천빌딩)
5th row부산광역시 해운대구 좌동로 88, 4층 (좌동, 울트라타워)
ValueCountFrequency (%)
부산광역시 27
 
15.8%
해운대구 27
 
15.8%
좌동 8
 
4.7%
우동 4
 
2.3%
반송동 4
 
2.3%
반여동 4
 
2.3%
2층 3
 
1.8%
재송동 3
 
1.8%
3층 3
 
1.8%
반송로 2
 
1.2%
Other values (77) 86
50.3%
2023-12-11T02:08:14.095280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
 
16.1%
, 34
 
3.8%
운 34
 
3.8%
대 34
 
3.8%
해 33
 
3.7%
동 31
 
3.5%
부 27
 
3.0%
구 27
 
3.0%
로 27
 
3.0%
산 27
 
3.0%
Other values (81) 474
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 524
58.7%
Space Separator 144
 
16.1%
Decimal Number 131
 
14.7%
Other Punctuation 34
 
3.8%
Close Punctuation 26
 
2.9%
Open Punctuation 26
 
2.9%
Dash Punctuation 4
 
0.4%
Math Symbol 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
운 34
 
6.5%
대 34
 
6.5%
해 33
 
6.3%
동 31
 
5.9%
부 27
 
5.2%
구 27
 
5.2%
로 27
 
5.2%
산 27
 
5.2%
시 27
 
5.2%
역 27
 
5.2%
Other values (65) 230
43.9%
Decimal Number
ValueCountFrequency (%)
1 25
19.1%
2 23
17.6%
7 12
9.2%
4 11
8.4%
3 11
8.4%
8 11
8.4%
0 11
8.4%
9 11
8.4%
6 8
 
6.1%
5 8
 
6.1%
Space Separator
ValueCountFrequency (%)
144
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 524
58.7%
Common 368
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
운 34
 
6.5%
대 34
 
6.5%
해 33
 
6.3%
동 31
 
5.9%
부 27
 
5.2%
구 27
 
5.2%
로 27
 
5.2%
산 27
 
5.2%
시 27
 
5.2%
역 27
 
5.2%
Other values (65) 230
43.9%
Common
ValueCountFrequency (%)
144
39.1%
, 34
 
9.2%
) 26
 
7.1%
( 26
 
7.1%
1 25
 
6.8%
2 23
 
6.2%
7 12
 
3.3%
4 11
 
3.0%
3 11
 
3.0%
8 11
 
3.0%
Other values (6) 45
 
12.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 524
58.7%
ASCII 368
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
39.1%
, 34
 
9.2%
) 26
 
7.1%
( 26
 
7.1%
1 25
 
6.8%
2 23
 
6.2%
7 12
 
3.3%
4 11
 
3.0%
3 11
 
3.0%
8 11
 
3.0%
Other values (6) 45
 
12.2%
Hangul
ValueCountFrequency (%)
운 34
 
6.5%
대 34
 
6.5%
해 33
 
6.3%
동 31
 
5.9%
부 27
 
5.2%
구 27
 
5.2%
로 27
 
5.2%
산 27
 
5.2%
시 27
 
5.2%
역 27
 
5.2%
Other values (65) 230
43.9%

소재지지번주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T02:08:14.555966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length25.296296
Min length19

Characters and Unicode

Total characters683
Distinct characters65
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

Unique27 ?
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 1473-5번지 해천빌딩 8층
5th row부산광역시 해운대구 좌동 1461-1번지 4층 울트라타워
ValueCountFrequency (%)
부산광역시 27
20.8%
해운대구 27
20.8%
좌동 8
 
6.2%
반여동 4
 
3.1%
우동 2
 
1.5%
재송1동 2
 
1.5%
1433-2번지 1
 
0.8%
201호 1
 
0.8%
1461-4번지 1
 
0.8%
807호 1
 
0.8%
Other values (56) 56
43.1%
2023-12-11T02:08:15.253165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
 
15.7%
1 41
 
6.0%
대 29
 
4.2%
2 28
 
4.1%
해 28
 
4.1%
산 27
 
4.0%
동 27
 
4.0%
구 27
 
4.0%
부 27
 
4.0%
운 27
 
4.0%
Other values (55) 315
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 388
56.8%
Decimal Number 163
23.9%
Space Separator 107
 
15.7%
Dash Punctuation 22
 
3.2%
Other Punctuation 2
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 29
 
7.5%
해 28
 
7.2%
산 27
 
7.0%
동 27
 
7.0%
구 27
 
7.0%
부 27
 
7.0%
운 27
 
7.0%
시 27
 
7.0%
역 27
 
7.0%
광 27
 
7.0%
Other values (41) 115
29.6%
Decimal Number
ValueCountFrequency (%)
1 41
25.2%
2 28
17.2%
3 19
11.7%
0 17
10.4%
4 15
 
9.2%
7 11
 
6.7%
6 9
 
5.5%
9 8
 
4.9%
5 8
 
4.9%
8 7
 
4.3%
Space Separator
ValueCountFrequency (%)
107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 388
56.8%
Common 295
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 29
 
7.5%
해 28
 
7.2%
산 27
 
7.0%
동 27
 
7.0%
구 27
 
7.0%
부 27
 
7.0%
운 27
 
7.0%
시 27
 
7.0%
역 27
 
7.0%
광 27
 
7.0%
Other values (41) 115
29.6%
Common
ValueCountFrequency (%)
107
36.3%
1 41
 
13.9%
2 28
 
9.5%
- 22
 
7.5%
3 19
 
6.4%
0 17
 
5.8%
4 15
 
5.1%
7 11
 
3.7%
6 9
 
3.1%
9 8
 
2.7%
Other values (4) 18
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 388
56.8%
ASCII 295
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
36.3%
1 41
 
13.9%
2 28
 
9.5%
- 22
 
7.5%
3 19
 
6.4%
0 17
 
5.8%
4 15
 
5.1%
7 11
 
3.7%
6 9
 
3.1%
9 8
 
2.7%
Other values (4) 18
 
6.1%
Hangul
ValueCountFrequency (%)
대 29
 
7.5%
해 28
 
7.2%
산 27
 
7.0%
동 27
 
7.0%
구 27
 
7.0%
부 27
 
7.0%
운 27
 
7.0%
시 27
 
7.0%
역 27
 
7.0%
광 27
 
7.0%
Other values (41) 115
29.6%

전화번호
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-11T02:08:15.609550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.037037
Min length12

Characters and Unicode

Total characters325
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

Unique27 ?
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
 
3.7%
051-704-9141 1
 
3.7%
051-783-8890 1
 
3.7%
051-545-0115 1
 
3.7%
051-525-0777 1
 
3.7%
070-4024-7077 1
 
3.7%
051-543-3001 1
 
3.7%
051-704-9966 1
 
3.7%
051-746-7079 1
 
3.7%
051-915-7000 1
 
3.7%
Other values (17) 17
63.0%
2023-12-11T02:08:16.150948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60
18.5%
- 54
16.6%
1 45
13.8%
5 44
13.5%
7 28
8.6%
4 22
 
6.8%
9 18
 
5.5%
2 16
 
4.9%
8 16
 
4.9%
3 14
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 271
83.4%
Dash Punctuation 54
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
22.1%
1 45
16.6%
5 44
16.2%
7 28
10.3%
4 22
 
8.1%
9 18
 
6.6%
2 16
 
5.9%
8 16
 
5.9%
3 14
 
5.2%
6 8
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60
18.5%
- 54
16.6%
1 45
13.8%
5 44
13.5%
7 28
8.6%
4 22
 
6.8%
9 18
 
5.5%
2 16
 
4.9%
8 16
 
4.9%
3 14
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60
18.5%
- 54
16.6%
1 45
13.8%
5 44
13.5%
7 28
8.6%
4 22
 
6.8%
9 18
 
5.5%
2 16
 
4.9%
8 16
 
4.9%
3 14
 
4.3%

운영시작일자
Date

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum1995-03-02 00:00:00
Maximum2021-07-21 00:00:00
2023-12-11T02:08:16.363345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:08:16.557751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

위도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.186926
Minimum35.161491
Maximum35.23024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-11T02:08:16.757328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.161491
5-th percentile35.164853
Q135.169678
median35.174786
Q335.203683
95-th percentile35.228556
Maximum35.23024
Range0.068749
Interquartile range (IQR)0.034005

Descriptive statistics

Standard deviation0.022625804
Coefficient of variation (CV)0.00064301736
Kurtosis-0.67592288
Mean35.186926
Median Absolute Deviation (MAD)0.006926
Skewness0.89143116
Sum950.047
Variance0.00051192701
MonotonicityNot monotonic
2023-12-11T02:08:16.979059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
35.172331 1
 
3.7%
35.183197 1
 
3.7%
35.16786 1
 
3.7%
35.19504 1
 
3.7%
35.228903 1
 
3.7%
35.224658 1
 
3.7%
35.163564 1
 
3.7%
35.220519 1
 
3.7%
35.168875 1
 
3.7%
35.168196 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
35.161491 1
3.7%
35.163564 1
3.7%
35.16786 1
3.7%
35.168099 1
3.7%
35.168196 1
3.7%
35.168256 1
3.7%
35.168875 1
3.7%
35.170481 1
3.7%
35.171652 1
3.7%
35.171999 1
3.7%
ValueCountFrequency (%)
35.23024 1
3.7%
35.228903 1
3.7%
35.227747 1
3.7%
35.224658 1
3.7%
35.220519 1
3.7%
35.205769 1
3.7%
35.204658 1
3.7%
35.202708 1
3.7%
35.19504 1
3.7%
35.18805 1
3.7%

경도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.15502
Minimum129.11596
Maximum129.20298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-11T02:08:17.209960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.11596
5-th percentile129.12176
Q1129.13143
median129.15741
Q3129.1753
95-th percentile129.18023
Maximum129.20298
Range0.087016
Interquartile range (IQR)0.043877

Descriptive statistics

Standard deviation0.023277794
Coefficient of variation (CV)0.00018023142
Kurtosis-0.98902835
Mean129.15502
Median Absolute Deviation (MAD)0.018483
Skewness-0.041728005
Sum3487.1857
Variance0.00054185568
MonotonicityNot monotonic
2023-12-11T02:08:17.423332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
129.175893 1
 
3.7%
129.202981 1
 
3.7%
129.14497 1
 
3.7%
129.13051 1
 
3.7%
129.158391 1
 
3.7%
129.14542 1
 
3.7%
129.165852 1
 
3.7%
129.153272 1
 
3.7%
129.177795 1
 
3.7%
129.157502 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
129.115965 1
3.7%
129.119933 1
3.7%
129.126036 1
3.7%
129.126367 1
3.7%
129.127388 1
3.7%
129.127722 1
3.7%
129.13051 1
3.7%
129.132343 1
3.7%
129.14497 1
3.7%
129.14542 1
3.7%
ValueCountFrequency (%)
129.202981 1
3.7%
129.180866 1
3.7%
129.178741 1
3.7%
129.17837 1
3.7%
129.177795 1
3.7%
129.175893 1
3.7%
129.175476 1
3.7%
129.175131 1
3.7%
129.175001 1
3.7%
129.174869 1
3.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2021-08-12 00:00:00
Maximum2021-08-12 00:00:00
2023-12-11T02:08:17.632769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:08:17.793939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T02:08:10.603448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:08:09.600381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:08:10.089852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:08:10.753995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:08:09.764339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:08:10.255729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:08:10.912161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:08:09.942754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:08:10.444202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:08:17.959023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명소재지도로명주소소재지지번주소전화번호운영시작일자위도경도
연번1.0001.0001.0001.0001.0000.7670.0000.471
시설명1.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
운영시작일자0.7671.0001.0001.0001.0001.0000.6630.544
위도0.0001.0001.0001.0001.0000.6631.0000.706
경도0.4711.0001.0001.0001.0000.5440.7061.000
2023-12-11T02:08:18.279526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.128-0.070
위도-0.1281.000-0.430
경도-0.070-0.4301.000

Missing values

2023-12-11T02:08:11.108357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:08:11.358490image/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

연번시설명소재지도로명주소소재지지번주소전화번호운영시작일자위도경도데이터기준일자
01(주)신세계 실버데이케어부산광역시 해운대구 세실로 87, 903호 (좌동, 영진파스타)부산광역시 해운대구 좌동 1461-7번지 903051-702-94002019-10-0135.172331129.1758932021-08-12
12(주)양지복지센터부산광역시 해운대구 송정중앙로 19, 2층 201호 (송정동, 코스마아파트)부산광역시 해운대구 송정동 199-17번지 코스마아파트 802호051-702-66552019-02-2835.183197129.2029812021-08-12
23다온실버복지센터부산광역시 해운대구 신반송로 203-6, 1~3층 (반송동)부산광역시 해운대구 반송동 210-5051-542-99802021-02-2335.23024129.157412021-08-12
34길주간보호센터부산광역시 해운대구 해운대로774번길 11, 8층 (좌동, 해천빌딩)부산광역시 해운대구 좌동 1473-5번지 해천빌딩 8층051-741-11092019-12-0235.168256129.1751312021-08-12
45살루스플러스데이케어부산광역시 해운대구 좌동로 88, 4층 (좌동, 울트라타워)부산광역시 해운대구 좌동 1461-1번지 4층 울트라타워051-704-99882019-10-0135.171999129.1750012021-08-12
56센텀라파 주간보호센터부산광역시 해운대구 재반로 107, 3층 4층 (재송동)부산광역시 해운대구 재송동 1061-6051-783-11122020-02-1135.18805129.1260362021-08-12
67센텀효사랑재가복지센터부산광역시 해운대구 선수촌로 104-10, 6층,7층 (반여동)부산광역시 해운대구 반여동 1206-39번지 7층 선수촌빌딩051-532-12302019-10-0135.202708129.1199332021-08-12
78센텀효어르신데이케어센터부산광역시 해운대구 해운대로295번길 15, 1층 (우동)부산광역시 해운대구 우2동 1229-7051-741-61632019-12-1835.174786129.1323432021-08-12
89어진샘주간노인복지센터부산광역시 해운대구 재반로12번길 16 (재송동)부산광역시 해운대구 재송1동 100051-784-80081999-01-2535.179844129.1277222021-08-12
910에젤 주야간보호센터부산광역시 해운대구 세실로27번길 13, 2층 (좌동, 선린빌딩)부산광역시 해운대구 좌동 1483-3번지 선린빌딩 2층051-704-49942019-12-1635.168099129.178372021-08-12
연번시설명소재지도로명주소소재지지번주소전화번호운영시작일자위도경도데이터기준일자
1718화인 시니어데이케어센터부산광역시 해운대구 양운로 82, 8층 802호 (좌동, 화인크리닉센터)부산광역시 해운대구 좌동 1460-4051-808-01532019-04-2535.170481129.1754762021-08-12
1819(주)한마음 노인복지센터부산광역시 해운대구 해운대로 575, 12층 (우동, 국제빌딩)부산광역시 해운대구 우동 640-24번지 국제빌딩 12층051-915-70002019-11-0635.161491129.1543972021-08-12
1920a+사랑드림 재활주간보호센터부산광역시 해운대구 우동2로 50-4, 2층 (우동)부산광역시 해운대구 우1동 394-13051-746-70792017-06-2735.168196129.1575022021-08-12
2021살루스실버케어센터부산광역시 해운대구 세실로27번길 23, 10층 (좌동, 샤인빌딩)부산광역시 해운대구 좌2동 세실로27번길 23 샤인빌딩 10층051-704-99662017-04-0735.168875129.1777952021-08-12
2122안심노인요양시설부산광역시 해운대구 아랫반송로89번길 8 (반송동)부산광역시 해운대구 반송3동 250-2253051-543-30012008-07-1035.220519129.1532722021-08-12
2223어르신학교 데이케어센터부산광역시 해운대구 중동2로10번길 29, 3층 (중동, 해운대빌딩)부산광역시 해운대구 중1동 1227-2070-4024-70772019-05-1035.163564129.1658522021-08-12
2324참조은 재가복지센터부산광역시 해운대구 반송로 797 (석대동)부산광역시 해운대구 석대동 10-8번지051-525-07772018-04-2335.224658129.145422021-08-12
2425파랑새방문요양기관부산광역시 해운대구 신반송로 21 (반송동)부산광역시 해운대구 반송2동 233-4051-545-01152008-08-1935.228903129.1583912021-08-12
2526사랑채주간보호센터부산광역시 해운대구 재반로 199, 5층 (반여동, 새아빌딩)부산광역시 해운대구 반여동 1291-832, 5층051-783-88902021-05-3135.19504129.130512021-08-12
2627정담시니어 주간보호센터부산광역시 해운대구 해운대로469번나길 69, 2~5층 (우동, 호현빌딩)부산광역시 해운대구 우동 1537, 2~5층051-744-69932021-07-2135.16786129.144972021-08-12