Overview

Dataset statistics

Number of variables5
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory43.0 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description부산광역시연제구_장기요양기관현황_20230418
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15051409

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:03:46.034797
Analysis finished2023-12-10 17:03:47.415483
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T02:03:47.560494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q117
median33
Q349
95-th percentile61.8
Maximum65
Range64
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.90767
Coefficient of variation (CV)0.57295971
Kurtosis-1.2
Mean33
Median Absolute Deviation (MAD)16
Skewness0
Sum2145
Variance357.5
MonotonicityStrictly increasing
2023-12-11T02:03:47.823737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
50 1
 
1.5%
36 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%
56 1
1.5%

업체명
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T02:03:48.180681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length9.6
Min length5

Characters and Unicode

Total characters624
Distinct characters130
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

Unique63 ?
Unique (%)96.9%

Sample

1st row가온노인주간보호센터
2nd row보은재가복지센터
3rd row공감재가노인복지센터
4th row한결재가복지센터
5th row효심재가복지센터
ValueCountFrequency (%)
주)대림복지센터 2
 
2.5%
주)부산데이케어 2
 
2.5%
한마음 1
 
1.2%
하나홈케어 1
 
1.2%
부산주간보호 1
 
1.2%
오샘재가복지센터 1
 
1.2%
주)연제홈케어 1
 
1.2%
연제은빛나래재가복지센터 1
 
1.2%
샬롬재가복지센터 1
 
1.2%
재가복지센타 1
 
1.2%
Other values (68) 68
85.0%
2023-12-11T02:03:48.924472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 50
 
8.0%
터 49
 
7.9%
복 46
 
7.4%
지 45
 
7.2%
가 39
 
6.2%
재 32
 
5.1%
인 19
 
3.0%
노 18
 
2.9%
15
 
2.4%
주 14
 
2.2%
Other values (120) 297
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 580
92.9%
Space Separator 15
 
2.4%
Open Punctuation 10
 
1.6%
Close Punctuation 10
 
1.6%
Other Punctuation 6
 
1.0%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 50
 
8.6%
터 49
 
8.4%
복 46
 
7.9%
지 45
 
7.8%
가 39
 
6.7%
재 32
 
5.5%
인 19
 
3.3%
노 18
 
3.1%
주 14
 
2.4%
한 9
 
1.6%
Other values (111) 259
44.7%
Other Punctuation
ValueCountFrequency (%)
" 4
66.7%
& 1
 
16.7%
' 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
A 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 580
92.9%
Common 41
 
6.6%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 50
 
8.6%
터 49
 
8.4%
복 46
 
7.9%
지 45
 
7.8%
가 39
 
6.7%
재 32
 
5.5%
인 19
 
3.3%
노 18
 
3.1%
주 14
 
2.4%
한 9
 
1.6%
Other values (111) 259
44.7%
Common
ValueCountFrequency (%)
15
36.6%
( 10
24.4%
) 10
24.4%
" 4
 
9.8%
& 1
 
2.4%
' 1
 
2.4%
Latin
ValueCountFrequency (%)
S 1
33.3%
A 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 580
92.9%
ASCII 44
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 50
 
8.6%
터 49
 
8.4%
복 46
 
7.9%
지 45
 
7.8%
가 39
 
6.7%
재 32
 
5.5%
인 19
 
3.3%
노 18
 
3.1%
주 14
 
2.4%
한 9
 
1.6%
Other values (111) 259
44.7%
ASCII
ValueCountFrequency (%)
15
34.1%
( 10
22.7%
) 10
22.7%
" 4
 
9.1%
S 1
 
2.3%
& 1
 
2.3%
A 1
 
2.3%
' 1
 
2.3%
K 1
 
2.3%

지정일자
Date

Distinct61
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2008-05-21 00:00:00
Maximum2023-04-03 00:00:00
2023-12-11T02:03:49.285826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:03:49.577832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주소
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T02:03:50.073938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length31.215385
Min length21

Characters and Unicode

Total characters2029
Distinct characters118
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)96.9%

Sample

1st row부산광역시 연제구 과정로 307, 3층 (연산동)
2nd row부산광역시 연제구 과정로283번나길 31 (연산동)
3rd row부산광역시 연제구 토곡남로 10, 202호 (연산동)
4th row부산광역시 연제구 연미로13번길 26, 2층 (연산동)
5th row부산광역시 연제구 중앙천로73번길 20 (연산동, 연제아파트)
ValueCountFrequency (%)
부산광역시 65
 
16.6%
연제구 65
 
16.6%
연산동 49
 
12.5%
거제동 15
 
3.8%
2층 8
 
2.0%
과정로 5
 
1.3%
연수로 4
 
1.0%
1층 4
 
1.0%
202호 3
 
0.8%
월드컵대로 3
 
0.8%
Other values (139) 170
43.5%
2023-12-11T02:03:50.978011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
326
 
16.1%
연 131
 
6.5%
산 119
 
5.9%
제 93
 
4.6%
동 76
 
3.7%
1 76
 
3.7%
시 68
 
3.4%
로 67
 
3.3%
) 65
 
3.2%
( 65
 
3.2%
Other values (108) 943
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1195
58.9%
Space Separator 326
 
16.1%
Decimal Number 317
 
15.6%
Close Punctuation 65
 
3.2%
Open Punctuation 65
 
3.2%
Other Punctuation 53
 
2.6%
Dash Punctuation 6
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 131
 
11.0%
산 119
 
10.0%
제 93
 
7.8%
동 76
 
6.4%
시 68
 
5.7%
로 67
 
5.6%
부 65
 
5.4%
구 65
 
5.4%
역 65
 
5.4%
광 65
 
5.4%
Other values (91) 381
31.9%
Decimal Number
ValueCountFrequency (%)
1 76
24.0%
2 63
19.9%
3 40
12.6%
0 39
12.3%
4 23
 
7.3%
7 23
 
7.3%
6 18
 
5.7%
8 14
 
4.4%
5 14
 
4.4%
9 7
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
W 1
50.0%
Space Separator
ValueCountFrequency (%)
326
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1195
58.9%
Common 832
41.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 131
 
11.0%
산 119
 
10.0%
제 93
 
7.8%
동 76
 
6.4%
시 68
 
5.7%
로 67
 
5.6%
부 65
 
5.4%
구 65
 
5.4%
역 65
 
5.4%
광 65
 
5.4%
Other values (91) 381
31.9%
Common
ValueCountFrequency (%)
326
39.2%
1 76
 
9.1%
) 65
 
7.8%
( 65
 
7.8%
2 63
 
7.6%
, 53
 
6.4%
3 40
 
4.8%
0 39
 
4.7%
4 23
 
2.8%
7 23
 
2.8%
Other values (5) 59
 
7.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
W 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1195
58.9%
ASCII 834
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
326
39.1%
1 76
 
9.1%
) 65
 
7.8%
( 65
 
7.8%
2 63
 
7.6%
, 53
 
6.4%
3 40
 
4.8%
0 39
 
4.7%
4 23
 
2.8%
7 23
 
2.8%
Other values (7) 61
 
7.3%
Hangul
ValueCountFrequency (%)
연 131
 
11.0%
산 119
 
10.0%
제 93
 
7.8%
동 76
 
6.4%
시 68
 
5.7%
로 67
 
5.6%
부 65
 
5.4%
구 65
 
5.4%
역 65
 
5.4%
광 65
 
5.4%
Other values (91) 381
31.9%

연락처
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T02:03:51.617873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters780
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

Unique61 ?
Unique (%)93.8%

Sample

1st row051-866-3309
2nd row051-911-4373
3rd row051-756-5956
4th row051-926-1956
5th row051-867-3143
ValueCountFrequency (%)
051-868-3800 2
 
3.1%
051-507-7350 2
 
3.1%
051-863-7326 1
 
1.5%
051-751-4532 1
 
1.5%
051-507-9659 1
 
1.5%
051-507-8171 1
 
1.5%
051-866-3309 1
 
1.5%
051-852-0535 1
 
1.5%
051-505-1215 1
 
1.5%
051-556-7774 1
 
1.5%
Other values (53) 53
81.5%
2023-12-11T02:03:52.569150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 134
17.2%
- 130
16.7%
0 102
13.1%
1 95
12.2%
7 68
8.7%
8 67
8.6%
6 52
 
6.7%
3 51
 
6.5%
2 28
 
3.6%
4 27
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 650
83.3%
Dash Punctuation 130
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 134
20.6%
0 102
15.7%
1 95
14.6%
7 68
10.5%
8 67
10.3%
6 52
 
8.0%
3 51
 
7.8%
2 28
 
4.3%
4 27
 
4.2%
9 26
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 134
17.2%
- 130
16.7%
0 102
13.1%
1 95
12.2%
7 68
8.7%
8 67
8.6%
6 52
 
6.7%
3 51
 
6.5%
2 28
 
3.6%
4 27
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 134
17.2%
- 130
16.7%
0 102
13.1%
1 95
12.2%
7 68
8.7%
8 67
8.6%
6 52
 
6.7%
3 51
 
6.5%
2 28
 
3.6%
4 27
 
3.5%

Interactions

2023-12-11T02:03:46.974968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:03:52.925451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업체명지정일자주소연락처
순번1.0000.9230.9000.9230.844
업체명0.9231.0000.9921.0001.000
지정일자0.9000.9921.0000.9920.979
주소0.9231.0000.9921.0001.000
연락처0.8441.0000.9791.0001.000

Missing values

2023-12-11T02:03:47.178622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:03:47.353247image/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

순번업체명지정일자주소연락처
01가온노인주간보호센터2021-09-16부산광역시 연제구 과정로 307, 3층 (연산동)051-866-3309
12보은재가복지센터2022-03-15부산광역시 연제구 과정로283번나길 31 (연산동)051-911-4373
23공감재가노인복지센터2022-06-10부산광역시 연제구 토곡남로 10, 202호 (연산동)051-756-5956
34한결재가복지센터2021-07-01부산광역시 연제구 연미로13번길 26, 2층 (연산동)051-926-1956
45효심재가복지센터2021-04-16부산광역시 연제구 중앙천로73번길 20 (연산동, 연제아파트)051-867-3143
56오누이 재가노인복지센터2023-04-03부산광역시 연제구 고분로254번길 43, 가동 101호 (연산동, 라이온복지맨션)051-757-6823
67온누리재가복지센터2021-07-01부산광역시 연제구 연미로13번길 37, 1층 (연산동)051-853-4494
78부산시노인종합복지관 재가장기요양기관2008-05-21부산광역시 연제구 거제천로230번길 18 (연산동)051-853-1876
89장한의료기2022-06-10부산광역시 연제구 거제천로230번길 53, 상가동 101호 (연산동)051-863-3232
910부산실버복지센터2019-11-09부산광역시 연제구 과정로 162, 201호 (연산동, 리치W 아파트)051-754-8965
순번업체명지정일자주소연락처
5556(주)대림복지센터2015-08-13부산광역시 연제구 미남로 5 (거제동)051-507-7350
5657어르신이 행복한 세상2008-06-16부산광역시 연제구 과정로208번길 21, 2층 (연산동)051-758-3987
5758다하네재가복지센터2019-11-21부산광역시 연제구 금련로38번나길 10 (연산동)051-752-7065
5859연화원 소규모요양시설(가형)2008-06-26부산광역시 연제구 중앙대로1066번길 35 (연산동)051-868-0588
5960단디데이케어 건강장수연구소2019-12-20부산광역시 연제구 연제로 27, 3층 (연산동)051-852-1802
6061따뜻한손 노인복지센터2009-11-27부산광역시 연제구 연안로13번길 69 (연산동)051-751-4532
6162주식회사 경서메디2014-04-25부산광역시 연제구 중앙대로1235번길 41, 1층 102호 (거제동, 양지빌딩)051-863-7326
6263거제노인주간보호센터2015-04-01부산광역시 연제구 아시아드대로46번길 45 (거제동, 거제종합사회복지관3층)051-507-8171
6364하나홈케어2019-01-23부산광역시 연제구 해맞이로43번길 104, B101호 (거제동, 삼미이미지빌라)051-507-9659
6465S&K 홈케어2012-04-26부산광역시 연제구 과정로 168, 2층 (연산동, 대동 레미안)051-507-6482