Overview

Dataset statistics

Number of variables7
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory59.1 B

Variable types

Text4
Categorical3

Dataset

Description부산광역시_중구_장기요양기관현황_20230725
Author부산광역시 중구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026401

Alerts

기관종류 is highly overall correlated with 급여종류High correlation
급여종류 is highly overall correlated with 기관종류High correlation
기관종류 is highly imbalanced (66.5%)Imbalance
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:53:10.086554
Analysis finished2023-12-10 16:53:10.745125
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T01:53:10.936644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.5238095
Min length2

Characters and Unicode

Total characters400
Distinct characters109
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

Unique42 ?
Unique (%)100.0%

Sample

1st row송산노인전문요양원
2nd row노틀담노인복지센터
3rd row중구재가노인지원서비스센터
4th row우리재가복지센터
5th row동행재가노인복지센터
ValueCountFrequency (%)
송산노인전문요양원 1
 
2.3%
효자효녀노인복지센터 1
 
2.3%
예손은노인복지요양센터 1
 
2.3%
갑산시니어요양센타 1
 
2.3%
효나눔복지센터 1
 
2.3%
감동재가복지센터 1
 
2.3%
국민재가요양센터 1
 
2.3%
현대종합복지센터 1
 
2.3%
더조은실버데이케어 1
 
2.3%
주)수로종합복지센터 1
 
2.3%
Other values (33) 33
76.7%
2023-12-11T01:53:11.438419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 36
 
9.0%
터 35
 
8.8%
지 31
 
7.8%
복 30
 
7.5%
재 23
 
5.8%
가 23
 
5.8%
노 21
 
5.2%
인 20
 
5.0%
요 8
 
2.0%
양 8
 
2.0%
Other values (99) 165
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
99.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 36
 
9.1%
터 35
 
8.8%
지 31
 
7.8%
복 30
 
7.6%
재 23
 
5.8%
가 23
 
5.8%
노 21
 
5.3%
인 20
 
5.0%
요 8
 
2.0%
양 8
 
2.0%
Other values (96) 162
40.8%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
99.2%
Common 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 36
 
9.1%
터 35
 
8.8%
지 31
 
7.8%
복 30
 
7.6%
재 23
 
5.8%
가 23
 
5.8%
노 21
 
5.3%
인 20
 
5.0%
요 8
 
2.0%
양 8
 
2.0%
Other values (96) 162
40.8%
Common
ValueCountFrequency (%)
( 1
33.3%
) 1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
99.2%
ASCII 3
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 36
 
9.1%
터 35
 
8.8%
지 31
 
7.8%
복 30
 
7.6%
재 23
 
5.8%
가 23
 
5.8%
노 21
 
5.3%
인 20
 
5.0%
요 8
 
2.0%
양 8
 
2.0%
Other values (96) 162
40.8%
ASCII
ValueCountFrequency (%)
( 1
33.3%
) 1
33.3%
1
33.3%

기관종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
재가장기요양기관
38 
재가급여제공 장기요양기관
 
3
시설급여제공 장기요양기관
 
1

Length

Max length13
Median length8
Mean length8.4761905
Min length8

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row시설급여제공 장기요양기관
2nd row재가급여제공 장기요양기관
3rd row재가급여제공 장기요양기관
4th row재가급여제공 장기요양기관
5th row재가장기요양기관

Common Values

ValueCountFrequency (%)
재가장기요양기관 38
90.5%
재가급여제공 장기요양기관 3
 
7.1%
시설급여제공 장기요양기관 1
 
2.4%

Length

2023-12-11T01:53:11.659283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:53:11.837680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가장기요양기관 38
82.6%
장기요양기관 4
 
8.7%
재가급여제공 3
 
6.5%
시설급여제공 1
 
2.2%

급여종류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
방문요양,방문목욕
17 
방문요양
11 
복지용구제공사업소
5 
방문요양,주야간보호
3 
방문요양,방문목욕,복지용구제공사업소
2 
Other values (4)
4 

Length

Max length20
Median length9
Mean length8.547619
Min length4

Unique

Unique4 ?
Unique (%)9.5%

Sample

1st row노인요양시설(개정법)
2nd row방문요양,주야간보호
3rd row방문요양,주야간보호
4th row방문요양,방문목욕
5th row방문요양,방문목욕

Common Values

ValueCountFrequency (%)
방문요양,방문목욕 17
40.5%
방문요양 11
26.2%
복지용구제공사업소 5
 
11.9%
방문요양,주야간보호 3
 
7.1%
방문요양,방문목욕,복지용구제공사업소 2
 
4.8%
노인요양시설(개정법) 1
 
2.4%
방문목욕 1
 
2.4%
방문요양,복지용구제공사업소 1
 
2.4%
방문요양,방문목욕,주야간보호,방문간호 1
 
2.4%

Length

2023-12-11T01:53:11.998011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:53:12.173727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양,방문목욕 17
40.5%
방문요양 11
26.2%
복지용구제공사업소 5
 
11.9%
방문요양,주야간보호 3
 
7.1%
방문요양,방문목욕,복지용구제공사업소 2
 
4.8%
노인요양시설(개정법 1
 
2.4%
방문목욕 1
 
2.4%
방문요양,복지용구제공사업소 1
 
2.4%
방문요양,방문목욕,주야간보호,방문간호 1
 
2.4%

설립구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
개인
33 
법인
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row법인
3rd row법인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 33
78.6%
법인 9
 
21.4%

Length

2023-12-11T01:53:12.390388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:53:12.538964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 33
78.6%
법인 9
 
21.4%

기관주소
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T01:53:12.867344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length29.261905
Min length23

Characters and Unicode

Total characters1229
Distinct characters83
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

Unique40 ?
Unique (%)95.2%

Sample

1st row부산광역시 중구 충장대로13번길 31 (중앙동4가)
2nd row부산광역시 중구 망양로 309 (대청동4가,중구종합사회복지관)
3rd row부산광역시 중구 책방골목길 3-1 (보수동1가)
4th row부산광역시 중구 보수대로 82, 510호 (부평동4가)
5th row부산광역시 중구 동광길 66, 103호 (중앙동4가, 동광맨션)
ValueCountFrequency (%)
부산광역시 42
 
17.1%
중구 42
 
17.1%
2층 9
 
3.7%
중앙동4가 8
 
3.3%
영주동 8
 
3.3%
보수동1가 7
 
2.8%
보수동2가 5
 
2.0%
보수대로 3
 
1.2%
중구로 3
 
1.2%
1층 3
 
1.2%
Other values (94) 116
47.2%
2023-12-11T01:53:13.427583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
16.6%
중 62
 
5.0%
동 50
 
4.1%
광 49
 
4.0%
1 49
 
4.0%
구 46
 
3.7%
부 46
 
3.7%
산 43
 
3.5%
시 42
 
3.4%
역 42
 
3.4%
Other values (73) 596
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 699
56.9%
Space Separator 204
 
16.6%
Decimal Number 204
 
16.6%
Close Punctuation 40
 
3.3%
Open Punctuation 40
 
3.3%
Other Punctuation 32
 
2.6%
Dash Punctuation 8
 
0.7%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 62
 
8.9%
동 50
 
7.2%
광 49
 
7.0%
구 46
 
6.6%
부 46
 
6.6%
산 43
 
6.2%
시 42
 
6.0%
역 42
 
6.0%
로 35
 
5.0%
가 33
 
4.7%
Other values (57) 251
35.9%
Decimal Number
ValueCountFrequency (%)
1 49
24.0%
2 36
17.6%
3 29
14.2%
4 27
13.2%
5 17
 
8.3%
0 12
 
5.9%
8 11
 
5.4%
7 9
 
4.4%
9 7
 
3.4%
6 7
 
3.4%
Space Separator
ValueCountFrequency (%)
204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 699
56.9%
Common 528
43.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 62
 
8.9%
동 50
 
7.2%
광 49
 
7.0%
구 46
 
6.6%
부 46
 
6.6%
산 43
 
6.2%
시 42
 
6.0%
역 42
 
6.0%
로 35
 
5.0%
가 33
 
4.7%
Other values (57) 251
35.9%
Common
ValueCountFrequency (%)
204
38.6%
1 49
 
9.3%
) 40
 
7.6%
( 40
 
7.6%
2 36
 
6.8%
, 32
 
6.1%
3 29
 
5.5%
4 27
 
5.1%
5 17
 
3.2%
0 12
 
2.3%
Other values (5) 42
 
8.0%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 699
56.9%
ASCII 530
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
38.5%
1 49
 
9.2%
) 40
 
7.5%
( 40
 
7.5%
2 36
 
6.8%
, 32
 
6.0%
3 29
 
5.5%
4 27
 
5.1%
5 17
 
3.2%
0 12
 
2.3%
Other values (6) 44
 
8.3%
Hangul
ValueCountFrequency (%)
중 62
 
8.9%
동 50
 
7.2%
광 49
 
7.0%
구 46
 
6.6%
부 46
 
6.6%
산 43
 
6.2%
시 42
 
6.0%
역 42
 
6.0%
로 35
 
5.0%
가 33
 
4.7%
Other values (57) 251
35.9%

기관전화번호
Text

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T01:53:13.706471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02381
Min length12

Characters and Unicode

Total characters505
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

Unique36 ?
Unique (%)85.7%

Sample

1st row051-466-0007
2nd row051-464-3137
3rd row051-241-2591
4th row051-242-4208
5th row051-908-0721
ValueCountFrequency (%)
051-257-8120 2
 
4.8%
051-241-2591 2
 
4.8%
051-242-5739 2
 
4.8%
051-246-3457 1
 
2.4%
051-442-0583 1
 
2.4%
051-245-3903 1
 
2.4%
051-466-0007 1
 
2.4%
051-463-2347 1
 
2.4%
051-905-5522 1
 
2.4%
051-464-0116 1
 
2.4%
Other values (29) 29
69.0%
2023-12-11T01:53:14.148350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 84
16.6%
0 75
14.9%
5 73
14.5%
1 63
12.5%
4 53
10.5%
2 44
8.7%
9 28
 
5.5%
6 23
 
4.6%
8 21
 
4.2%
3 21
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 421
83.4%
Dash Punctuation 84
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
17.8%
5 73
17.3%
1 63
15.0%
4 53
12.6%
2 44
10.5%
9 28
 
6.7%
6 23
 
5.5%
8 21
 
5.0%
3 21
 
5.0%
7 20
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 84
16.6%
0 75
14.9%
5 73
14.5%
1 63
12.5%
4 53
10.5%
2 44
8.7%
9 28
 
5.5%
6 23
 
4.6%
8 21
 
4.2%
3 21
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 84
16.6%
0 75
14.9%
5 73
14.5%
1 63
12.5%
4 53
10.5%
2 44
8.7%
9 28
 
5.5%
6 23
 
4.6%
8 21
 
4.2%
3 21
 
4.2%

팩스번호
Text

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T01:53:14.560752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02381
Min length12

Characters and Unicode

Total characters505
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

Unique36 ?
Unique (%)85.7%

Sample

1st row051-466-7778
2nd row051-468-1544
3rd row051-241-2593
4th row051-242-4209
5th row051-911-0721
ValueCountFrequency (%)
051-257-8121 2
 
4.8%
051-241-2593 2
 
4.8%
051-242-5738 2
 
4.8%
051-241-3124 1
 
2.4%
051-442-0584 1
 
2.4%
051-244-3903 1
 
2.4%
051-466-7778 1
 
2.4%
051-463-2346 1
 
2.4%
051-468-6866 1
 
2.4%
051-464-1116 1
 
2.4%
Other values (29) 29
69.0%
2023-12-11T01:53:14.973527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 84
16.6%
1 72
14.3%
5 71
14.1%
4 59
11.7%
0 58
11.5%
2 46
9.1%
6 33
 
6.5%
8 27
 
5.3%
9 21
 
4.2%
3 18
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 421
83.4%
Dash Punctuation 84
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 72
17.1%
5 71
16.9%
4 59
14.0%
0 58
13.8%
2 46
10.9%
6 33
7.8%
8 27
 
6.4%
9 21
 
5.0%
3 18
 
4.3%
7 16
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 84
16.6%
1 72
14.3%
5 71
14.1%
4 59
11.7%
0 58
11.5%
2 46
9.1%
6 33
 
6.5%
8 27
 
5.3%
9 21
 
4.2%
3 18
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 84
16.6%
1 72
14.3%
5 71
14.1%
4 59
11.7%
0 58
11.5%
2 46
9.1%
6 33
 
6.5%
8 27
 
5.3%
9 21
 
4.2%
3 18
 
3.6%

Correlations

2023-12-11T01:53:15.130587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명기관종류급여종류설립구분기관주소기관전화번호팩스번호
기관명1.0001.0001.0001.0001.0001.0001.000
기관종류1.0001.0000.9730.2380.0000.4510.451
급여종류1.0000.9731.0000.4730.0000.0000.000
설립구분1.0000.2380.4731.0001.0001.0001.000
기관주소1.0000.0000.0001.0001.0001.0001.000
기관전화번호1.0000.4510.0001.0001.0001.0001.000
팩스번호1.0000.4510.0001.0001.0001.0001.000
2023-12-11T01:53:15.301976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급여종류기관종류설립구분
급여종류1.0000.7360.426
기관종류0.7361.0000.382
설립구분0.4260.3821.000
2023-12-11T01:53:15.399941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관종류급여종류설립구분
기관종류1.0000.7360.382
급여종류0.7361.0000.426
설립구분0.3820.4261.000

Missing values

2023-12-11T01:53:10.506555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:53:10.679921image/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

기관명기관종류급여종류설립구분기관주소기관전화번호팩스번호
0송산노인전문요양원시설급여제공 장기요양기관노인요양시설(개정법)법인부산광역시 중구 충장대로13번길 31 (중앙동4가)051-466-0007051-466-7778
1노틀담노인복지센터재가급여제공 장기요양기관방문요양,주야간보호법인부산광역시 중구 망양로 309 (대청동4가,중구종합사회복지관)051-464-3137051-468-1544
2중구재가노인지원서비스센터재가급여제공 장기요양기관방문요양,주야간보호법인부산광역시 중구 책방골목길 3-1 (보수동1가)051-241-2591051-241-2593
3우리재가복지센터재가급여제공 장기요양기관방문요양,방문목욕개인부산광역시 중구 보수대로 82, 510호 (부평동4가)051-242-4208051-242-4209
4동행재가노인복지센터재가장기요양기관방문요양,방문목욕개인부산광역시 중구 동광길 66, 103호 (중앙동4가, 동광맨션)051-908-0721051-911-0721
5온맘재가복지센터재가장기요양기관방문요양개인부산광역시 중구 초량중로6번길 12 (영주동)051-469-94060504-446-4655
6중구노인복지센터재가장기요양기관방문목욕법인부산광역시 중구 책방골목길 3-1 (보수동1가)051-241-2591051-241-2593
7다품음재가노인복지센터재가장기요양기관방문요양개인부산광역시 중구 충장대로9번길 47, 304호 (중앙동4가)051-441-1117051-441-1118
8정민복지재가센터재가장기요양기관방문요양,방문목욕개인부산광역시 중구 초량상로 12, 1층 (영주동)051-442-2505051-442-2506
9로뎀나무아래요양보호사파견센터재가장기요양기관방문요양개인부산광역시 중구 중앙대로 78, 3층 (중앙동4가)051-253-4555051-256-4555
기관명기관종류급여종류설립구분기관주소기관전화번호팩스번호
32신자애노인복지센터재가장기요양기관방문요양개인부산광역시 중구 보수대로124번길 58, 2층 (보수동2가)051-242-5739051-242-5738
33착한노인재가복지센터재가장기요양기관방문요양,방문목욕법인부산광역시 중구 임소길7번길 4-1, B동 1층 1호 (영주동, 보혜 쉐르빌B동)051-989-1690051-262-1622
34한울타리재가노인복지센터재가장기요양기관방문요양,방문목욕,주야간보호,방문간호개인부산광역시 중구 흑교로 55, 3층 301호 (보수동2가, 보수동 한웅베어스)051-257-8120051-257-8121
35나눔재가복지센터재가장기요양기관방문요양개인부산광역시 중구 초량중로6번길 9 (영주동)051-469-8950051-469-8951
36참사랑재가노인복지센터재가장기요양기관방문요양,방문목욕개인부산광역시 중구 대청로 53, 2층 (보수동1가)051-256-6689051-991-6689
37봉생재가장기요양센터재가장기요양기관방문요양,방문목욕법인부산광역시 중구 중구로 97 (대청동4가)051-464-9880051-464-9881
38성우의료기상사재가장기요양기관복지용구제공사업소개인부산광역시 중구 보수대로 28 (부평동2가,1층)051-246-3457051-241-3124
39은성노인복지센터재가장기요양기관방문요양,방문목욕개인부산광역시 중구 중앙대로49번길 13, 3층 303호 (중앙동2가)051-245-3903051-244-3903
40예손은노인복지요양센터재가장기요양기관방문요양개인부산광역시 중구 대영로 225 (영주동,2층)070-7553-7794051-797-8036
41자애재가노인복지센터재가장기요양기관방문요양,방문목욕개인부산광역시 중구 보수대로124번길 15, 201호 (보수동2가)051-242-5739051-242-5738