Overview

Dataset statistics

Number of variables9
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory78.3 B

Variable types

Categorical4
Text4
DateTime1

Dataset

Description부산광역시 동구 관내 노인복지시설 현황 (시설명, 소재지, 전화번호 등)자료입니다. - 노인복지관, 노인의료복지시설, 재가노인복지시설 등
URLhttps://www.data.go.kr/data/3080195/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
시설명 has unique valuesUnique
개원일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:33:34.083889
Analysis finished2023-12-12 14:33:34.761068
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
방문요양
9 
노인여가복지시설
3 
노인의료복지시설
3 
재가지원서비스
2 
방문요양,주간보호
1 
Other values (3)
3 

Length

Max length9
Median length8
Mean length6
Min length4

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row노인여가복지시설
2nd row노인여가복지시설
3rd row노인여가복지시설
4th row노인의료복지시설
5th row노인의료복지시설

Common Values

ValueCountFrequency (%)
방문요양 9
42.9%
노인여가복지시설 3
 
14.3%
노인의료복지시설 3
 
14.3%
재가지원서비스 2
 
9.5%
방문요양,주간보호 1
 
4.8%
재가노인지원서비스 1
 
4.8%
복지용구 1
 
4.8%
주간보호센터 1
 
4.8%

Length

2023-12-12T23:33:34.840125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:33:34.982427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양 9
42.9%
노인여가복지시설 3
 
14.3%
노인의료복지시설 3
 
14.3%
재가지원서비스 2
 
9.5%
방문요양,주간보호 1
 
4.8%
재가노인지원서비스 1
 
4.8%
복지용구 1
 
4.8%
주간보호센터 1
 
4.8%

시설명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T23:33:35.206085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length9.2857143
Min length5

Characters and Unicode

Total characters195
Distinct characters58
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row동구노인복지관
2nd row동구노인복지관 분관
3rd row자성대노인복지관
4th row송원노인 전문요양원
5th row인창노인 요양센터
ValueCountFrequency (%)
동구노인복지관 2
 
8.3%
인창동구재가노인지원서비스센터 1
 
4.2%
럭키주간복지센터 1
 
4.2%
다은재가복지센터 1
 
4.2%
나눔재가복지센터 1
 
4.2%
부경재가복지센터 1
 
4.2%
건강한의료기 1
 
4.2%
다온재가복지센터 1
 
4.2%
효자손재가노인지원서비스센터 1
 
4.2%
인창동구노인복지센터 1
 
4.2%
Other values (13) 13
54.2%
2023-12-12T23:33:35.626069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 17
 
8.7%
터 15
 
7.7%
인 15
 
7.7%
센 15
 
7.7%
복 13
 
6.7%
노 12
 
6.2%
가 9
 
4.6%
재 9
 
4.6%
동 6
 
3.1%
6
 
3.1%
Other values (48) 78
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
96.9%
Space Separator 6
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 17
 
9.0%
터 15
 
7.9%
인 15
 
7.9%
센 15
 
7.9%
복 13
 
6.9%
노 12
 
6.3%
가 9
 
4.8%
재 9
 
4.8%
동 6
 
3.2%
구 5
 
2.6%
Other values (47) 73
38.6%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
96.9%
Common 6
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 17
 
9.0%
터 15
 
7.9%
인 15
 
7.9%
센 15
 
7.9%
복 13
 
6.9%
노 12
 
6.3%
가 9
 
4.8%
재 9
 
4.8%
동 6
 
3.2%
구 5
 
2.6%
Other values (47) 73
38.6%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
96.9%
ASCII 6
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 17
 
9.0%
터 15
 
7.9%
인 15
 
7.9%
센 15
 
7.9%
복 13
 
6.9%
노 12
 
6.3%
가 9
 
4.8%
재 9
 
4.8%
동 6
 
3.2%
구 5
 
2.6%
Other values (47) 73
38.6%
ASCII
ValueCountFrequency (%)
6
100.0%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
부산광역시
21 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시
2nd row부산광역시
3rd row부산광역시
4th row부산광역시
5th row부산광역시

Common Values

ValueCountFrequency (%)
부산광역시 21
100.0%

Length

2023-12-12T23:33:35.808487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:33:35.929444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 21
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
동구
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동구
2nd row동구
3rd row동구
4th row동구
5th row동구

Common Values

ValueCountFrequency (%)
동구 21
100.0%

Length

2023-12-12T23:33:36.050370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:33:36.174634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 21
100.0%

소재지
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T23:33:36.405400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length14.285714
Min length8

Characters and Unicode

Total characters300
Distinct characters55
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

Unique19 ?
Unique (%)90.5%

Sample

1st row홍곡중로5번길24 (수정동)
2nd row동구 초량남로 12(초량동)
3rd row자성로140번길32 (범일동)
4th row동구 안창로 51
5th row동구 고관로 34
ValueCountFrequency (%)
수정동 4
 
6.3%
동구 4
 
6.3%
중앙대로 3
 
4.8%
범일동 3
 
4.8%
증산로 2
 
3.2%
초량상로 2
 
3.2%
2층(수정동 2
 
3.2%
5번길 2
 
3.2%
고관로 2
 
3.2%
홍곡중로 2
 
3.2%
Other values (35) 37
58.7%
2023-12-12T23:33:36.847805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
14.0%
로 21
 
7.0%
동 21
 
7.0%
( 17
 
5.7%
) 15
 
5.0%
2 13
 
4.3%
1 12
 
4.0%
수 10
 
3.3%
정 10
 
3.3%
3 9
 
3.0%
Other values (45) 130
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
51.3%
Decimal Number 64
21.3%
Space Separator 42
 
14.0%
Open Punctuation 17
 
5.7%
Close Punctuation 15
 
5.0%
Other Punctuation 6
 
2.0%
Math Symbol 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 21
 
13.6%
동 21
 
13.6%
수 10
 
6.5%
정 10
 
6.5%
량 8
 
5.2%
초 8
 
5.2%
중 6
 
3.9%
구 5
 
3.2%
번 5
 
3.2%
길 5
 
3.2%
Other values (29) 55
35.7%
Decimal Number
ValueCountFrequency (%)
2 13
20.3%
1 12
18.8%
3 9
14.1%
4 7
10.9%
5 7
10.9%
7 4
 
6.2%
9 4
 
6.2%
0 4
 
6.2%
6 3
 
4.7%
8 1
 
1.6%
Space Separator
ValueCountFrequency (%)
42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
51.3%
Common 146
48.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 21
 
13.6%
동 21
 
13.6%
수 10
 
6.5%
정 10
 
6.5%
량 8
 
5.2%
초 8
 
5.2%
중 6
 
3.9%
구 5
 
3.2%
번 5
 
3.2%
길 5
 
3.2%
Other values (29) 55
35.7%
Common
ValueCountFrequency (%)
42
28.8%
( 17
11.6%
) 15
 
10.3%
2 13
 
8.9%
1 12
 
8.2%
3 9
 
6.2%
4 7
 
4.8%
5 7
 
4.8%
, 6
 
4.1%
7 4
 
2.7%
Other values (6) 14
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
51.3%
ASCII 146
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
28.8%
( 17
11.6%
) 15
 
10.3%
2 13
 
8.9%
1 12
 
8.2%
3 9
 
6.2%
4 7
 
4.8%
5 7
 
4.8%
, 6
 
4.1%
7 4
 
2.7%
Other values (6) 14
 
9.6%
Hangul
ValueCountFrequency (%)
로 21
 
13.6%
동 21
 
13.6%
수 10
 
6.5%
정 10
 
6.5%
량 8
 
5.2%
초 8
 
5.2%
중 6
 
3.9%
구 5
 
3.2%
번 5
 
3.2%
길 5
 
3.2%
Other values (29) 55
35.7%

운영주체
Categorical

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
개인운영
7 
사회복지법인새샘복지재단
3 
봉생사회복지회
3 
사회복지법인 행복한 오늘
2 
사회복지법인 송원
1 
Other values (5)
5 

Length

Max length15
Median length13
Mean length7.9047619
Min length4

Unique

Unique6 ?
Unique (%)28.6%

Sample

1st row사회복지법인새샘복지재단
2nd row사회복지법인새샘복지재단
3rd row봉생사회복지회
4th row사회복지법인 송원
5th row의료법인 은경의료재단

Common Values

ValueCountFrequency (%)
개인운영 7
33.3%
사회복지법인새샘복지재단 3
14.3%
봉생사회복지회 3
14.3%
사회복지법인 행복한 오늘 2
 
9.5%
사회복지법인 송원 1
 
4.8%
의료법인 은경의료재단 1
 
4.8%
사회복지법인 빛과소금복지재단 1
 
4.8%
사회복지법인 청광 1
 
4.8%
동남노인복지회 1
 
4.8%
사단법인 1
 
4.8%

Length

2023-12-12T23:33:37.007597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:33:37.184126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인운영 7
24.1%
사회복지법인 5
17.2%
사회복지법인새샘복지재단 3
10.3%
봉생사회복지회 3
10.3%
행복한 2
 
6.9%
오늘 2
 
6.9%
송원 1
 
3.4%
의료법인 1
 
3.4%
은경의료재단 1
 
3.4%
빛과소금복지재단 1
 
3.4%
Other values (3) 3
10.3%

시설장
Text

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T23:33:37.382975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters63
Distinct characters38
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

Unique16 ?
Unique (%)76.2%

Sample

1st row김채령
2nd row김채령
3rd row이은숙
4th row하윤석
5th row민상화
ValueCountFrequency (%)
김채령 3
 
14.3%
이은숙 2
 
9.5%
김도영 1
 
4.8%
김현애 1
 
4.8%
왕영의 1
 
4.8%
정혜진 1
 
4.8%
조정주 1
 
4.8%
김종원 1
 
4.8%
김동현 1
 
4.8%
김완형 1
 
4.8%
Other values (8) 8
38.1%
2023-12-12T23:33:37.982406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 8
 
12.7%
령 3
 
4.8%
이 3
 
4.8%
정 3
 
4.8%
숙 3
 
4.8%
채 3
 
4.8%
유 2
 
3.2%
박 2
 
3.2%
진 2
 
3.2%
경 2
 
3.2%
Other values (28) 32
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
12.7%
령 3
 
4.8%
이 3
 
4.8%
정 3
 
4.8%
숙 3
 
4.8%
채 3
 
4.8%
유 2
 
3.2%
박 2
 
3.2%
진 2
 
3.2%
경 2
 
3.2%
Other values (28) 32
50.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
12.7%
령 3
 
4.8%
이 3
 
4.8%
정 3
 
4.8%
숙 3
 
4.8%
채 3
 
4.8%
유 2
 
3.2%
박 2
 
3.2%
진 2
 
3.2%
경 2
 
3.2%
Other values (28) 32
50.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 8
 
12.7%
령 3
 
4.8%
이 3
 
4.8%
정 3
 
4.8%
숙 3
 
4.8%
채 3
 
4.8%
유 2
 
3.2%
박 2
 
3.2%
진 2
 
3.2%
경 2
 
3.2%
Other values (28) 32
50.8%

전화번호
Text

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T23:33:38.161536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique14 ?
Unique (%)66.7%

Sample

1st row051-467-7887
2nd row051-714-6092
3rd row051-632-7597
4th row051-637-8260
5th row051-464-1004
ValueCountFrequency (%)
051-467-7887 3
14.3%
051-632-7597 2
 
9.5%
051-466-5353 2
 
9.5%
051-636-7766 1
 
4.8%
051-637-8260 1
 
4.8%
051-464-1004 1
 
4.8%
051-751-8388 1
 
4.8%
051-466-0350 1
 
4.8%
051-465-5151 1
 
4.8%
051-633-1601 1
 
4.8%
Other values (7) 7
33.3%
2023-12-12T23:33:38.449677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
16.7%
0 39
15.5%
5 34
13.5%
1 31
12.3%
6 29
11.5%
7 21
8.3%
4 16
 
6.3%
3 14
 
5.6%
8 13
 
5.2%
2 8
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39
18.6%
5 34
16.2%
1 31
14.8%
6 29
13.8%
7 21
10.0%
4 16
7.6%
3 14
 
6.7%
8 13
 
6.2%
2 8
 
3.8%
9 5
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
16.7%
0 39
15.5%
5 34
13.5%
1 31
12.3%
6 29
11.5%
7 21
8.3%
4 16
 
6.3%
3 14
 
5.6%
8 13
 
5.2%
2 8
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
16.7%
0 39
15.5%
5 34
13.5%
1 31
12.3%
6 29
11.5%
7 21
8.3%
4 16
 
6.3%
3 14
 
5.6%
8 13
 
5.2%
2 8
 
3.2%

개원일
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2000-10-28 00:00:00
Maximum2023-03-14 00:00:00
2023-12-12T23:33:38.580877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:38.701018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

Correlations

2023-12-12T23:33:38.781377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설명소재지운영주체시설장전화번호개원일
구분1.0001.0000.0000.5240.7230.0001.000
시설명1.0001.0001.0001.0001.0001.0001.000
소재지0.0001.0001.0000.8650.9701.0001.000
운영주체0.5241.0000.8651.0000.9230.9441.000
시설장0.7231.0000.9700.9231.0000.9811.000
전화번호0.0001.0001.0000.9440.9811.0001.000
개원일1.0001.0001.0001.0001.0001.0001.000
2023-12-12T23:33:38.895848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분운영주체
구분1.0000.193
운영주체0.1931.000
2023-12-12T23:33:38.970838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분운영주체
구분1.0000.193
운영주체0.1931.000

Missing values

2023-12-12T23:33:34.547673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:33:34.690478image/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

구분시설명시도시군구소재지운영주체시설장전화번호개원일
0노인여가복지시설동구노인복지관부산광역시동구홍곡중로5번길24 (수정동)사회복지법인새샘복지재단김채령051-467-78872000-10-28
1노인여가복지시설동구노인복지관 분관부산광역시동구동구 초량남로 12(초량동)사회복지법인새샘복지재단김채령051-714-60922016-11-01
2노인여가복지시설자성대노인복지관부산광역시동구자성로140번길32 (범일동)봉생사회복지회이은숙051-632-75972005-07-01
3노인의료복지시설송원노인 전문요양원부산광역시동구동구 안창로 51사회복지법인 송원하윤석051-637-82602006-09-06
4노인의료복지시설인창노인 요양센터부산광역시동구동구 고관로 34의료법인 은경의료재단민상화051-464-10042010-08-27
5노인의료복지시설지혜실버홈부산광역시동구동구 범곡남로 15개인운영이도연051-751-83882013-08-14
6방문요양카네이션노인복지센터부산광역시동구초량상로 56 (초량동)사회복지법인 빛과소금복지재단유경숙051-466-03502008-10-07
7방문요양자성대노인복지센터부산광역시동구자성로 140번길 32 (범일동)봉생사회복지회이은숙051-632-75972008-09-24
8방문요양,주간보호효자손노인복지센터부산광역시동구홍곡중로 5번길 24 (수정동)사회복지법인 청광김채령051-467-78872008-04-28
9방문요양봉생동구재가노인지원서비스센터부산광역시동구초량상로 130봉생사회복지회추유진051-465-51512008-07-01
구분시설명시도시군구소재지운영주체시설장전화번호개원일
11재가지원서비스동남재가복지센터부산광역시동구증산로 4 (좌천동)동남노인복지회박정희051-636-77662016-03-18
12방문요양인창동구노인복지센터부산광역시동구고관로 36(초량동)사회복지법인 행복한 오늘김완형051-466-53532013-01-09
13재가노인지원서비스효자손재가노인지원서비스센터부산광역시동구홍곡중로 5번길 24 (수정동)사회복지법인새샘복지재단김동현051-467-78872020-01-17
14방문요양다온재가복지센터부산광역시동구망양로 693(수정동)개인운영김종원051-467-52002021-04-13
15복지용구건강한의료기부산광역시동구중앙대로 393(수정동)개인운영조정주051-633-16012020-12-10
16방문요양부경재가복지센터부산광역시동구수정로 29, 2층(수정동사단법인정혜진051-900-06082020-09-14
17방문요양나눔재가복지센터부산광역시동구수정공원남로 1, 2층(수정동개인운영왕영의051-464-82852020-10-15
18방문요양다은재가복지센터부산광역시동구구봉로 57, 102호(초량동)개인운영김현애051-462-10012022-10-25
19주간보호센터럭키주간복지센터부산광역시동구중앙대로 391, 1~2층 (수정동, 럭키빌딩)개인운영김도영051-942-10002023-03-14
20방문요양더좋은재가센터부산광역시동구증산로 177-1, 2층 (범일동)개인운영박신우051-636-73672023-03-09