Overview

Dataset statistics

Number of variables9
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory80.1 B

Variable types

Numeric3
Text4
DateTime2

Dataset

Description부산광역시해운대구_노인주간보호시설(기관)_20210409
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075570

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
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 17:07:45.811223
Analysis finished2023-12-10 17:07:48.780968
Duration2.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-11T02:07:48.911577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-11T02:07:49.158366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

시설명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T02:07:49.576467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length10.461538
Min length7

Characters and Unicode

Total characters272
Distinct characters84
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

Unique26 ?
Unique (%)100.0%

Sample

1st row(주)신세계 실버데이케어
2nd row(주)양지복지센터
3rd row다온실버복지센터
4th row길주간보호센터
5th row살루스플러스데이케어
ValueCountFrequency (%)
주)신세계 1
 
2.9%
재활주간보호센터 1
 
2.9%
해운대재활주간보호센터 1
 
2.9%
화인 1
 
2.9%
시니어데이케어센터 1
 
2.9%
주)한마음 1
 
2.9%
노인복지센터 1
 
2.9%
a+사랑드림 1
 
2.9%
살루스실버케어센터 1
 
2.9%
실버데이케어 1
 
2.9%
Other values (24) 24
70.6%
2023-12-11T02:07:50.237772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 24
 
8.8%
터 21
 
7.7%
어 11
 
4.0%
주 11
 
4.0%
복 11
 
4.0%
지 11
 
4.0%
인 9
 
3.3%
간 8
 
2.9%
재 8
 
2.9%
8
 
2.9%
Other values (74) 150
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
94.1%
Space Separator 8
 
2.9%
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 24
 
9.4%
터 21
 
8.2%
어 11
 
4.3%
주 11
 
4.3%
복 11
 
4.3%
지 11
 
4.3%
인 9
 
3.5%
간 8
 
3.1%
재 8
 
3.1%
호 7
 
2.7%
Other values (69) 135
52.7%
Space Separator
ValueCountFrequency (%)
8
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 256
94.1%
Common 15
 
5.5%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 24
 
9.4%
터 21
 
8.2%
어 11
 
4.3%
주 11
 
4.3%
복 11
 
4.3%
지 11
 
4.3%
인 9
 
3.5%
간 8
 
3.1%
재 8
 
3.1%
호 7
 
2.7%
Other values (69) 135
52.7%
Common
ValueCountFrequency (%)
8
53.3%
( 3
 
20.0%
) 3
 
20.0%
+ 1
 
6.7%
Latin
ValueCountFrequency (%)
a 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
94.1%
ASCII 16
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 24
 
9.4%
터 21
 
8.2%
어 11
 
4.3%
주 11
 
4.3%
복 11
 
4.3%
지 11
 
4.3%
인 9
 
3.5%
간 8
 
3.1%
재 8
 
3.1%
호 7
 
2.7%
Other values (69) 135
52.7%
ASCII
ValueCountFrequency (%)
8
50.0%
( 3
 
18.8%
) 3
 
18.8%
a 1
 
6.2%
+ 1
 
6.2%

소재지도로명주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T02:07:50.601522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36.5
Mean length32.615385
Min length18

Characters and Unicode

Total characters848
Distinct characters88
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

Unique26 ?
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 26
 
16.0%
해운대구 26
 
16.0%
좌동 8
 
4.9%
반송동 4
 
2.5%
재송동 4
 
2.5%
우동 3
 
1.8%
3층 3
 
1.8%
2층 3
 
1.8%
반여동 3
 
1.8%
1층 3
 
1.8%
Other values (72) 80
49.1%
2023-12-11T02:07:51.325915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
16.2%
운 32
 
3.8%
대 32
 
3.8%
, 31
 
3.7%
해 31
 
3.7%
동 30
 
3.5%
부 26
 
3.1%
1 26
 
3.1%
로 26
 
3.1%
구 26
 
3.1%
Other values (78) 451
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 499
58.8%
Space Separator 137
 
16.2%
Decimal Number 125
 
14.7%
Other Punctuation 31
 
3.7%
Close Punctuation 25
 
2.9%
Open Punctuation 25
 
2.9%
Dash Punctuation 4
 
0.5%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
운 32
 
6.4%
대 32
 
6.4%
해 31
 
6.2%
동 30
 
6.0%
부 26
 
5.2%
로 26
 
5.2%
구 26
 
5.2%
산 26
 
5.2%
시 26
 
5.2%
역 26
 
5.2%
Other values (62) 218
43.7%
Decimal Number
ValueCountFrequency (%)
1 26
20.8%
2 22
17.6%
0 12
9.6%
7 12
9.6%
3 11
8.8%
4 11
8.8%
8 11
8.8%
9 7
 
5.6%
6 7
 
5.6%
5 6
 
4.8%
Space Separator
ValueCountFrequency (%)
137
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 499
58.8%
Common 349
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
운 32
 
6.4%
대 32
 
6.4%
해 31
 
6.2%
동 30
 
6.0%
부 26
 
5.2%
로 26
 
5.2%
구 26
 
5.2%
산 26
 
5.2%
시 26
 
5.2%
역 26
 
5.2%
Other values (62) 218
43.7%
Common
ValueCountFrequency (%)
137
39.3%
, 31
 
8.9%
1 26
 
7.4%
) 25
 
7.2%
( 25
 
7.2%
2 22
 
6.3%
0 12
 
3.4%
7 12
 
3.4%
3 11
 
3.2%
4 11
 
3.2%
Other values (6) 37
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 499
58.8%
ASCII 349
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
39.3%
, 31
 
8.9%
1 26
 
7.4%
) 25
 
7.2%
( 25
 
7.2%
2 22
 
6.3%
0 12
 
3.4%
7 12
 
3.4%
3 11
 
3.2%
4 11
 
3.2%
Other values (6) 37
 
10.6%
Hangul
ValueCountFrequency (%)
운 32
 
6.4%
대 32
 
6.4%
해 31
 
6.2%
동 30
 
6.0%
부 26
 
5.2%
로 26
 
5.2%
구 26
 
5.2%
산 26
 
5.2%
시 26
 
5.2%
역 26
 
5.2%
Other values (62) 218
43.7%

소재지지번주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T02:07:51.750880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31.5
Mean length25.115385
Min length19

Characters and Unicode

Total characters653
Distinct characters63
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

Unique26 ?
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 26
21.0%
해운대구 26
21.0%
좌동 8
 
6.5%
반여동 3
 
2.4%
재송1동 3
 
2.4%
대하프라자 1
 
0.8%
국제빌딩 1
 
0.8%
640-24번지 1
 
0.8%
우동 1
 
0.8%
1460-4 1
 
0.8%
Other values (53) 53
42.7%
2023-12-11T02:07:52.434484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
 
15.6%
1 39
 
6.0%
대 28
 
4.3%
2 27
 
4.1%
해 27
 
4.1%
산 26
 
4.0%
동 26
 
4.0%
구 26
 
4.0%
부 26
 
4.0%
운 26
 
4.0%
Other values (53) 300
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 375
57.4%
Decimal Number 154
23.6%
Space Separator 102
 
15.6%
Dash Punctuation 22
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 28
 
7.5%
해 27
 
7.2%
산 26
 
6.9%
동 26
 
6.9%
구 26
 
6.9%
부 26
 
6.9%
운 26
 
6.9%
역 26
 
6.9%
광 26
 
6.9%
시 26
 
6.9%
Other values (41) 112
29.9%
Decimal Number
ValueCountFrequency (%)
1 39
25.3%
2 27
17.5%
3 17
11.0%
0 17
11.0%
4 15
 
9.7%
7 11
 
7.1%
6 9
 
5.8%
9 7
 
4.5%
8 6
 
3.9%
5 6
 
3.9%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 375
57.4%
Common 278
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 28
 
7.5%
해 27
 
7.2%
산 26
 
6.9%
동 26
 
6.9%
구 26
 
6.9%
부 26
 
6.9%
운 26
 
6.9%
역 26
 
6.9%
광 26
 
6.9%
시 26
 
6.9%
Other values (41) 112
29.9%
Common
ValueCountFrequency (%)
102
36.7%
1 39
 
14.0%
2 27
 
9.7%
- 22
 
7.9%
3 17
 
6.1%
0 17
 
6.1%
4 15
 
5.4%
7 11
 
4.0%
6 9
 
3.2%
9 7
 
2.5%
Other values (2) 12
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 375
57.4%
ASCII 278
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
36.7%
1 39
 
14.0%
2 27
 
9.7%
- 22
 
7.9%
3 17
 
6.1%
0 17
 
6.1%
4 15
 
5.4%
7 11
 
4.0%
6 9
 
3.2%
9 7
 
2.5%
Other values (2) 12
 
4.3%
Hangul
ValueCountFrequency (%)
대 28
 
7.5%
해 27
 
7.2%
산 26
 
6.9%
동 26
 
6.9%
구 26
 
6.9%
부 26
 
6.9%
운 26
 
6.9%
역 26
 
6.9%
광 26
 
6.9%
시 26
 
6.9%
Other values (41) 112
29.9%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T02:07:52.780344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.038462
Min length12

Characters and Unicode

Total characters313
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

Unique26 ?
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
 
3.8%
051-702-6655 1
 
3.8%
051-525-0777 1
 
3.8%
051-781-7509 1
 
3.8%
070-4024-7077 1
 
3.8%
051-543-3001 1
 
3.8%
051-704-9966 1
 
3.8%
051-746-7079 1
 
3.8%
051-915-7000 1
 
3.8%
051-808-0153 1
 
3.8%
Other values (16) 16
61.5%
2023-12-11T02:07:53.528770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59
18.8%
- 52
16.6%
1 45
14.4%
5 44
14.1%
7 28
8.9%
4 20
 
6.4%
2 16
 
5.1%
9 16
 
5.1%
8 14
 
4.5%
3 12
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 261
83.4%
Dash Punctuation 52
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
22.6%
1 45
17.2%
5 44
16.9%
7 28
10.7%
4 20
 
7.7%
2 16
 
6.1%
9 16
 
6.1%
8 14
 
5.4%
3 12
 
4.6%
6 7
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 59
18.8%
- 52
16.6%
1 45
14.4%
5 44
14.1%
7 28
8.9%
4 20
 
6.4%
2 16
 
5.1%
9 16
 
5.1%
8 14
 
4.5%
3 12
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59
18.8%
- 52
16.6%
1 45
14.4%
5 44
14.1%
7 28
8.9%
4 20
 
6.4%
2 16
 
5.1%
9 16
 
5.1%
8 14
 
4.5%
3 12
 
3.8%

운영시작일자
Date

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum1995-03-02 00:00:00
Maximum2021-02-23 00:00:00
2023-12-11T02:07:53.805349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:54.061723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.187259
Minimum35.161491
Maximum35.23024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-11T02:07:54.288484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.161491
5-th percentile35.164698
Q135.170774
median35.177315
Q335.204171
95-th percentile35.228614
Maximum35.23024
Range0.068749
Interquartile range (IQR)0.03339675

Descriptive statistics

Standard deviation0.022700751
Coefficient of variation (CV)0.00064514122
Kurtosis-0.68518701
Mean35.187259
Median Absolute Deviation (MAD)0.009089
Skewness0.89670827
Sum914.86874
Variance0.00051532411
MonotonicityNot monotonic
2023-12-11T02:07:54.536653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
35.172331 1
 
3.8%
35.173862 1
 
3.8%
35.228903 1
 
3.8%
35.224658 1
 
3.8%
35.184638 1
 
3.8%
35.163564 1
 
3.8%
35.220519 1
 
3.8%
35.168875 1
 
3.8%
35.168196 1
 
3.8%
35.161491 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
35.161491 1
3.8%
35.163564 1
3.8%
35.168099 1
3.8%
35.168196 1
3.8%
35.168256 1
3.8%
35.168875 1
3.8%
35.170481 1
3.8%
35.171652 1
3.8%
35.171999 1
3.8%
35.172331 1
3.8%
ValueCountFrequency (%)
35.23024 1
3.8%
35.228903 1
3.8%
35.227747 1
3.8%
35.224658 1
3.8%
35.220519 1
3.8%
35.205769 1
3.8%
35.204658 1
3.8%
35.202708 1
3.8%
35.18805 1
3.8%
35.184638 1
3.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.15527
Minimum129.11596
Maximum129.20298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-11T02:07:54.793699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.11596
5-th percentile129.12146
Q1129.12888
median129.15746
Q3129.17539
95-th percentile129.18033
Maximum129.20298
Range0.087016
Interquartile range (IQR)0.0465125

Descriptive statistics

Standard deviation0.023814205
Coefficient of variation (CV)0.0001843843
Kurtosis-1.060947
Mean129.15527
Median Absolute Deviation (MAD)0.019388
Skewness-0.095430172
Sum3358.037
Variance0.00056711635
MonotonicityNot monotonic
2023-12-11T02:07:55.067832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
129.175893 1
 
3.8%
129.178741 1
 
3.8%
129.158391 1
 
3.8%
129.14542 1
 
3.8%
129.126859 1
 
3.8%
129.165852 1
 
3.8%
129.153272 1
 
3.8%
129.177795 1
 
3.8%
129.157502 1
 
3.8%
129.154397 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
129.115965 1
3.8%
129.119933 1
3.8%
129.126036 1
3.8%
129.126367 1
3.8%
129.126859 1
3.8%
129.127388 1
3.8%
129.127722 1
3.8%
129.132343 1
3.8%
129.14542 1
3.8%
129.147068 1
3.8%
ValueCountFrequency (%)
129.202981 1
3.8%
129.180866 1
3.8%
129.178741 1
3.8%
129.17837 1
3.8%
129.177795 1
3.8%
129.175893 1
3.8%
129.175476 1
3.8%
129.175131 1
3.8%
129.175001 1
3.8%
129.174869 1
3.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2021-04-09 00:00:00
Maximum2021-04-09 00:00:00
2023-12-11T02:07:55.272000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:55.432690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T02:07:47.849231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:46.393890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:46.920299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:48.044052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:46.570709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:47.089233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:48.205262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:46.752332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:07:47.679617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:07:55.597342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명소재지도로명주소소재지지번주소전화번호운영시작일자위도경도
연번1.0001.0001.0001.0001.0000.7950.6030.389
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
운영시작일자0.7951.0001.0001.0001.0001.0000.6160.629
위도0.6031.0001.0001.0001.0000.6161.0000.873
경도0.3891.0001.0001.0001.0000.6290.8731.000
2023-12-11T02:07:55.860276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.036-0.053
위도-0.0361.000-0.506
경도-0.053-0.5061.000

Missing values

2023-12-11T02:07:48.415023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:07:48.682479image/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 903051-702-94002019-10-0135.172331129.1758932021-04-09
12(주)양지복지센터부산광역시 해운대구 송정중앙로 19, 2층 201호 (송정동, 코스마아파트)부산광역시 해운대구 송정동 199-17번지 코스마아파트 802호051-702-66552019-02-2835.183197129.2029812021-04-09
23다온실버복지센터부산광역시 해운대구 신반송로 203-6, 1~3층 (반송동)부산광역시 해운대구 반송동 210-5051-542-99802021-02-2335.23024129.157412021-04-09
34길주간보호센터부산광역시 해운대구 해운대로774번길 11, 8층 (좌동, 해천빌딩)부산광역시 해운대구 좌동 1473-5번지 해천빌딩 8층051-741-11092019-12-0235.168256129.1751312021-04-09
45살루스플러스데이케어부산광역시 해운대구 좌동로 88, 4층 (좌동, 울트라타워)부산광역시 해운대구 좌동 1461-1번지 4층 울트라타워051-704-99882019-10-0135.171999129.1750012021-04-09
56센텀라파 주간보호센터부산광역시 해운대구 재반로 107, 3층 4층 (재송동)부산광역시 해운대구 재송동 1061-6051-783-11122020-02-1135.18805129.1260362021-04-09
67센텀효사랑재가복지센터부산광역시 해운대구 선수촌로 104-10, 6층,7층 (반여동)부산광역시 해운대구 반여동 1206-39번지 7층 선수촌빌딩051-532-12302019-10-0135.202708129.1199332021-04-09
78센텀효어르신데이케어센터부산광역시 해운대구 해운대로295번길 15, 1층 (우동)부산광역시 해운대구 우2동 1229-7051-741-61632019-12-1835.174786129.1323432021-04-09
89어진샘주간노인복지센터부산광역시 해운대구 재반로12번길 16 (재송동)부산광역시 해운대구 재송1동 100051-784-80081999-01-2535.179844129.1277222021-04-09
910에젤 주야간보호센터부산광역시 해운대구 세실로27번길 13, 2층 (좌동, 선린빌딩)부산광역시 해운대구 좌동 1483-3번지 선린빌딩 2층051-704-49942019-12-1635.168099129.178372021-04-09
연번시설명소재지도로명주소소재지지번주소전화번호운영시작일자위도경도데이터기준일자
1617해운대재활주간보호센터부산광역시 해운대구 양운로 98, 404호 (좌동, 대하프라자)부산광역시 해운대구 좌동 1461-4번지 807호 대하프라자051-702-33232019-01-3035.171652129.1748692021-04-09
1718화인 시니어데이케어센터부산광역시 해운대구 양운로 82, 8층 802호 (좌동, 화인크리닉센터)부산광역시 해운대구 좌동 1460-4051-808-01532019-04-2535.170481129.1754762021-04-09
1819(주)한마음 노인복지센터부산광역시 해운대구 해운대로 575, 12층 (우동, 국제빌딩)부산광역시 해운대구 우동 640-24번지 국제빌딩 12층051-915-70002019-11-0635.161491129.1543972021-04-09
1920a+사랑드림 재활주간보호센터부산광역시 해운대구 우동2로 50-4, 2층 (우동)부산광역시 해운대구 우1동 394-13051-746-70792017-06-2735.168196129.1575022021-04-09
2021살루스실버케어센터부산광역시 해운대구 세실로27번길 23, 10층 (좌동, 샤인빌딩)부산광역시 해운대구 좌2동 세실로27번길 23 샤인빌딩 10층051-704-99662017-04-0735.168875129.1777952021-04-09
2122안심노인요양시설부산광역시 해운대구 아랫반송로89번길 8 (반송동)부산광역시 해운대구 반송3동 250-2253051-543-30012008-07-1035.220519129.1532722021-04-09
2223어르신학교 데이케어센터부산광역시 해운대구 중동2로10번길 29, 3층 (중동, 해운대빌딩)부산광역시 해운대구 중1동 1227-2070-4024-70772019-05-1035.163564129.1658522021-04-09
2324우리주야간보호센터부산광역시 해운대구 재반로64번길 10, 1층 (재송동)부산광역시 해운대구 재송1동 257-2051-781-75092016-12-1335.184638129.1268592021-04-09
2425참조은 재가복지센터부산광역시 해운대구 반송로 797 (석대동)부산광역시 해운대구 석대동 10-8번지051-525-07772018-04-2335.224658129.145422021-04-09
2526파랑새방문요양기관부산광역시 해운대구 신반송로 21 (반송동)부산광역시 해운대구 반송2동 233-4051-545-01152008-08-1935.228903129.1583912021-04-09