Overview

Dataset statistics

Number of variables5
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory42.0 B

Variable types

Text4
Categorical1

Dataset

Description부산광역시 영도구 장기요양기관(노인의료복지시설, 재가노인복지시설, 재가장기요양기관)현황 데이터를 제공합니다.(상호명,대표자, 주소, 연락처 등)
Author부산광역시 영도구
URLhttps://www.data.go.kr/data/15083312/fileData.do

Alerts

기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:30:22.584637
Analysis finished2023-12-12 05:30:23.306288
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T14:30:23.466943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length9.3283582
Min length5

Characters and Unicode

Total characters625
Distinct characters125
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)100.0%

Sample

1st row엘림재가복지센터
2nd row로뎀나무노인복지센터
3rd row영도주간보호센터
4th row건강재가복지센터
5th row봉산재가복지센터
ValueCountFrequency (%)
재가복지센터 3
 
3.9%
엘림재가복지센터 1
 
1.3%
파랑새노인건강센터 1
 
1.3%
유)자비원노인복지센터 1
 
1.3%
사랑나누기 1
 
1.3%
주)금잔디복지센터 1
 
1.3%
주)참사랑재가복지센터 1
 
1.3%
샬롬재가복지센터 1
 
1.3%
와치노인복지센터 1
 
1.3%
사랑나눔노인복지센터 1
 
1.3%
Other values (64) 64
84.2%
2023-12-12T14:30:24.168698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 60
 
9.6%
터 59
 
9.4%
복 53
 
8.5%
지 53
 
8.5%
가 37
 
5.9%
재 34
 
5.4%
인 24
 
3.8%
노 23
 
3.7%
사 12
 
1.9%
랑 12
 
1.9%
Other values (115) 258
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 601
96.2%
Space Separator 9
 
1.4%
Close Punctuation 7
 
1.1%
Open Punctuation 7
 
1.1%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 60
 
10.0%
터 59
 
9.8%
복 53
 
8.8%
지 53
 
8.8%
가 37
 
6.2%
재 34
 
5.7%
인 24
 
4.0%
노 23
 
3.8%
사 12
 
2.0%
랑 12
 
2.0%
Other values (111) 234
38.9%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 602
96.3%
Common 23
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 60
 
10.0%
터 59
 
9.8%
복 53
 
8.8%
지 53
 
8.8%
가 37
 
6.1%
재 34
 
5.6%
인 24
 
4.0%
노 23
 
3.8%
사 12
 
2.0%
랑 12
 
2.0%
Other values (112) 235
39.0%
Common
ValueCountFrequency (%)
9
39.1%
) 7
30.4%
( 7
30.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 601
96.2%
ASCII 23
 
3.7%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 60
 
10.0%
터 59
 
9.8%
복 53
 
8.8%
지 53
 
8.8%
가 37
 
6.2%
재 34
 
5.7%
인 24
 
4.0%
노 23
 
3.8%
사 12
 
2.0%
랑 12
 
2.0%
Other values (111) 234
38.9%
ASCII
ValueCountFrequency (%)
9
39.1%
) 7
30.4%
( 7
30.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

급여종류
Categorical

Distinct10
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size668.0 B
방문요양+방문목욕
30 
방문요양
20 
방문요양+주야간보호
5 
주야간보호
4 
노인요양공동생활가정
 
2
Other values (5)
6 

Length

Max length35
Median length19
Mean length8.0746269
Min length4

Unique

Unique4 ?
Unique (%)6.0%

Sample

1st row방문요양+주야간보호
2nd row방문요양+방문목욕
3rd row주야간보호
4th row방문요양+방문목욕
5th row방문요양

Common Values

ValueCountFrequency (%)
방문요양+방문목욕 30
44.8%
방문요양 20
29.9%
방문요양+주야간보호 5
 
7.5%
주야간보호 4
 
6.0%
노인요양공동생활가정 2
 
3.0%
복지용구제공사업소 2
 
3.0%
방문요양+방문목욕+방문간호 1
 
1.5%
방문요양+방문목욕+주야간보호 1
 
1.5%
노인요양시설(개정법)+치매전담실 나형 1실+치매전담실 나형 2실 1
 
1.5%
방문요양+방문목욕+복지용구제공사업소 1
 
1.5%

Length

2023-12-12T14:30:24.302510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:30:24.435980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양+방문목욕 30
42.3%
방문요양 20
28.2%
방문요양+주야간보호 5
 
7.0%
주야간보호 4
 
5.6%
노인요양공동생활가정 2
 
2.8%
복지용구제공사업소 2
 
2.8%
나형 2
 
2.8%
방문요양+방문목욕+방문간호 1
 
1.4%
방문요양+방문목욕+주야간보호 1
 
1.4%
노인요양시설(개정법)+치매전담실 1
 
1.4%
Other values (3) 3
 
4.2%

대표자명
Text

Distinct60
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T14:30:24.673312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters201
Distinct characters78
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)80.6%

Sample

1st row김혜영
2nd row김성훈
3rd row이광석
4th row양관순
5th row이명숙
ValueCountFrequency (%)
이광석 3
 
4.5%
고분숙 2
 
3.0%
박도영 2
 
3.0%
윤선희 2
 
3.0%
안관희 2
 
3.0%
박민주 2
 
3.0%
김수진 1
 
1.5%
민도윤 1
 
1.5%
김미숙 1
 
1.5%
박성희 1
 
1.5%
Other values (50) 50
74.6%
2023-12-12T14:30:25.026975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 15
 
7.5%
이 12
 
6.0%
박 10
 
5.0%
영 8
 
4.0%
희 8
 
4.0%
현 6
 
3.0%
정 5
 
2.5%
선 5
 
2.5%
윤 5
 
2.5%
최 5
 
2.5%
Other values (68) 122
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 15
 
7.5%
이 12
 
6.0%
박 10
 
5.0%
영 8
 
4.0%
희 8
 
4.0%
현 6
 
3.0%
정 5
 
2.5%
선 5
 
2.5%
윤 5
 
2.5%
최 5
 
2.5%
Other values (68) 122
60.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 15
 
7.5%
이 12
 
6.0%
박 10
 
5.0%
영 8
 
4.0%
희 8
 
4.0%
현 6
 
3.0%
정 5
 
2.5%
선 5
 
2.5%
윤 5
 
2.5%
최 5
 
2.5%
Other values (68) 122
60.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 15
 
7.5%
이 12
 
6.0%
박 10
 
5.0%
영 8
 
4.0%
희 8
 
4.0%
현 6
 
3.0%
정 5
 
2.5%
선 5
 
2.5%
윤 5
 
2.5%
최 5
 
2.5%
Other values (68) 122
60.7%

기관주소
Text

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T14:30:25.253985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length29.343284
Min length17

Characters and Unicode

Total characters1966
Distinct characters120
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 (%)94.0%

Sample

1st row부산광역시 영도구 동삼로108번길 7 (동삼동)
2nd row부산광역시 영도구 태종로 393, 상가동 201호 (청학동, 원우아파트)
3rd row부산광역시 영도구 중리로 35, 101호, 201호 (동삼동, 영도빌딩)
4th row부산광역시 영도구 태종로 424 (청학동, 동창약국 2층)
5th row부산광역시 영도구 하나길 746 (봉래동4가)
ValueCountFrequency (%)
부산광역시 67
 
17.2%
영도구 67
 
17.2%
동삼동 21
 
5.4%
청학동 13
 
3.3%
태종로 11
 
2.8%
2층 7
 
1.8%
201호 7
 
1.8%
절영로 6
 
1.5%
상가동 5
 
1.3%
영선동1가 5
 
1.3%
Other values (131) 181
46.4%
2023-12-12T14:30:25.652204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
325
 
16.5%
동 105
 
5.3%
영 94
 
4.8%
도 76
 
3.9%
산 70
 
3.6%
시 68
 
3.5%
구 68
 
3.5%
부 67
 
3.4%
광 67
 
3.4%
역 67
 
3.4%
Other values (110) 959
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1157
58.9%
Space Separator 325
 
16.5%
Decimal Number 293
 
14.9%
Close Punctuation 65
 
3.3%
Open Punctuation 65
 
3.3%
Other Punctuation 49
 
2.5%
Dash Punctuation 8
 
0.4%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 105
 
9.1%
영 94
 
8.1%
도 76
 
6.6%
산 70
 
6.1%
시 68
 
5.9%
구 68
 
5.9%
부 67
 
5.8%
광 67
 
5.8%
역 67
 
5.8%
로 50
 
4.3%
Other values (92) 425
36.7%
Decimal Number
ValueCountFrequency (%)
1 62
21.2%
2 48
16.4%
3 40
13.7%
0 36
12.3%
4 25
8.5%
6 22
 
7.5%
7 20
 
6.8%
5 15
 
5.1%
8 13
 
4.4%
9 12
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
T 1
25.0%
P 1
25.0%
Space Separator
ValueCountFrequency (%)
325
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1157
58.9%
Common 805
40.9%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 105
 
9.1%
영 94
 
8.1%
도 76
 
6.6%
산 70
 
6.1%
시 68
 
5.9%
구 68
 
5.9%
부 67
 
5.8%
광 67
 
5.8%
역 67
 
5.8%
로 50
 
4.3%
Other values (92) 425
36.7%
Common
ValueCountFrequency (%)
325
40.4%
) 65
 
8.1%
( 65
 
8.1%
1 62
 
7.7%
, 49
 
6.1%
2 48
 
6.0%
3 40
 
5.0%
0 36
 
4.5%
4 25
 
3.1%
6 22
 
2.7%
Other values (5) 68
 
8.4%
Latin
ValueCountFrequency (%)
A 2
50.0%
T 1
25.0%
P 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1157
58.9%
ASCII 809
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
325
40.2%
) 65
 
8.0%
( 65
 
8.0%
1 62
 
7.7%
, 49
 
6.1%
2 48
 
5.9%
3 40
 
4.9%
0 36
 
4.4%
4 25
 
3.1%
6 22
 
2.7%
Other values (8) 72
 
8.9%
Hangul
ValueCountFrequency (%)
동 105
 
9.1%
영 94
 
8.1%
도 76
 
6.6%
산 70
 
6.1%
시 68
 
5.9%
구 68
 
5.9%
부 67
 
5.8%
광 67
 
5.8%
역 67
 
5.8%
로 50
 
4.3%
Other values (92) 425
36.7%

기관전화번호
Text

Distinct62
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T14:30:25.887727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.791045
Min length4

Characters and Unicode

Total characters790
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

Unique58 ?
Unique (%)86.6%

Sample

1st row051-403-2770
2nd row051-418-8566
3rd row051-405-7888
4th row051-417-1761
5th row051-415-1033
ValueCountFrequency (%)
051-405-7888 3
 
4.5%
051 2
 
3.0%
051-404-2420 2
 
3.0%
051-412-3315 2
 
3.0%
051-414-5279 1
 
1.5%
051-405-9741 1
 
1.5%
051-403-2770 1
 
1.5%
051-418-3983 1
 
1.5%
051-414-5008 1
 
1.5%
051-403-9944 1
 
1.5%
Other values (52) 52
77.6%
2023-12-12T14:30:26.251598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 134
17.0%
- 132
16.7%
0 126
15.9%
5 106
13.4%
4 95
12.0%
3 45
 
5.7%
2 40
 
5.1%
8 38
 
4.8%
9 26
 
3.3%
7 25
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 658
83.3%
Dash Punctuation 132
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 134
20.4%
0 126
19.1%
5 106
16.1%
4 95
14.4%
3 45
 
6.8%
2 40
 
6.1%
8 38
 
5.8%
9 26
 
4.0%
7 25
 
3.8%
6 23
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 134
17.0%
- 132
16.7%
0 126
15.9%
5 106
13.4%
4 95
12.0%
3 45
 
5.7%
2 40
 
5.1%
8 38
 
4.8%
9 26
 
3.3%
7 25
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 134
17.0%
- 132
16.7%
0 126
15.9%
5 106
13.4%
4 95
12.0%
3 45
 
5.7%
2 40
 
5.1%
8 38
 
4.8%
9 26
 
3.3%
7 25
 
3.2%

Correlations

2023-12-12T14:30:26.374317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명급여종류대표자명기관주소기관전화번호
기관명1.0001.0001.0001.0001.000
급여종류1.0001.0000.0000.0000.556
대표자명1.0000.0001.0001.0000.999
기관주소1.0000.0001.0001.0000.997
기관전화번호1.0000.5560.9990.9971.000

Missing values

2023-12-12T14:30:23.140421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:30:23.260415image/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

기관명급여종류대표자명기관주소기관전화번호
0엘림재가복지센터방문요양+주야간보호김혜영부산광역시 영도구 동삼로108번길 7 (동삼동)051-403-2770
1로뎀나무노인복지센터방문요양+방문목욕김성훈부산광역시 영도구 태종로 393, 상가동 201호 (청학동, 원우아파트)051-418-8566
2영도주간보호센터주야간보호이광석부산광역시 영도구 중리로 35, 101호, 201호 (동삼동, 영도빌딩)051-405-7888
3건강재가복지센터방문요양+방문목욕양관순부산광역시 영도구 태종로 424 (청학동, 동창약국 2층)051-417-1761
4봉산재가복지센터방문요양이명숙부산광역시 영도구 하나길 746 (봉래동4가)051-415-1033
5늘봄재가복지센터방문요양+방문목욕장영희부산광역시 영도구 절영로 504-12, 상가동 201호 (동삼동)051-403-1337
6영도구 효 어르신 데이케어센터주야간보호최한구부산광역시 영도구 꿈나무길 17 (영선동1가)051-416-9992
7부산사랑노인복지센터주식회사방문요양+방문목욕+방문간호위현숙부산광역시 영도구 태종로 382, 2층 (청학동, 동구빌딩)051-853-2323
8상리노인복지센터방문요양이청자부산광역시 영도구 상리로 63-16 (동삼동)051-404-4003
9이레재가복지센터방문요양박혜현부산광역시 영도구 함지로 17, A상가동 202호 (동삼동, 반도보라비치타운)051-403-0867
기관명급여종류대표자명기관주소기관전화번호
57다사랑장기요양기관방문요양+주야간보호김옥희부산광역시 영도구 근면2길 41 (동삼동)051-404-0676
58해동복지용구복지용구제공사업소최유현부산광역시 영도구 절영로13번길 72 (영선동1가)051-412-2270
59동삼장기요양기관방문요양이상융부산광역시 영도구 상리로 30 (동삼동, 동삼사회복지관 1층)051-405-2133
60영도 의료기복지용구제공사업소이서운부산광역시 영도구 태종로 76 (대교동1가)051-412-8353
61나눔 동삼요양보호사파견센타방문요양+방문목욕한명점부산광역시 영도구 동삼동 322-81051-405-1053
62강남재가복지센터방문요양손경남부산광역시 영도구 해안산책길 30, 상가동 306호(영선동4가)051-
63선효주야간보호센터주야간보호송선옥부산광역시 영도구 태종로 417, 6층(청학동)051-
64참 재가복지센터방문요양최난희부산광역시 영도구 청학동로 50, 1층(청학동)051-414-5295
65효심재가복지센터방문요양+방문목욕이미경부산광역시 영도구 대교로6번길 30, 303호(봉래동3가)051-412-4616
66부산사랑실버홈노인요양공동생활가정이광석부산광역시 영도구 중리로 35, 201호 (동삼동, 영도빌딩)051-405-7888