Overview

Dataset statistics

Number of variables5
Number of observations44
Missing cells100
Missing cells (%)45.5%
Duplicate rows1
Duplicate rows (%)2.3%
Total size in memory1.8 KiB
Average record size in memory43.0 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시연제구_노인복지시설현황_20230531
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15051406

Alerts

Dataset has 1 (2.3%) duplicate rowsDuplicates
시설명 has 23 (52.3%) missing valuesMissing
소재지 has 23 (52.3%) missing valuesMissing
관리법인 has 31 (70.5%) missing valuesMissing
전화번호 has 23 (52.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:34:11.296079
Analysis finished2023-12-10 16:34:12.060277
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설유형
Categorical

Distinct7
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
23 
재가노인복지시설
12 
노인의료복지시설(노인요양공동생활가정)
4 
노인의료복지시설(노인요양시설)
 
2
노인의료복지시설(노인요양시설)
 
1
Other values (2)
 
2

Length

Max length21
Median length4
Mean length7.8863636
Min length4

Unique

Unique3 ?
Unique (%)6.8%

Sample

1st row노인의료복지시설(노인요양시설)
2nd row노인의료복지시설(노인요양시설)
3rd row노인의료복지시설(노인요양시설)
4th row노인의료복지시설(노인요양공동생활가정)
5th row노인의료복지시설(노인요양공동생활가정)

Common Values

ValueCountFrequency (%)
<NA> 23
52.3%
재가노인복지시설 12
27.3%
노인의료복지시설(노인요양공동생활가정) 4
 
9.1%
노인의료복지시설(노인요양시설) 2
 
4.5%
노인의료복지시설(노인요양시설) 1
 
2.3%
노인의료복지시설(노인요양공동생활가정) 1
 
2.3%
노인일자리지원기관 1
 
2.3%

Length

2023-12-11T01:34:12.176581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:34:12.375148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
52.3%
재가노인복지시설 12
27.3%
노인의료복지시설(노인요양공동생활가정 5
 
11.4%
노인의료복지시설(노인요양시설 3
 
6.8%
노인일자리지원기관 1
 
2.3%

시설명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing23
Missing (%)52.3%
Memory size484.0 B
2023-12-11T01:34:12.652553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length9.9047619
Min length5

Characters and Unicode

Total characters208
Distinct characters75
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

Unique21 ?
Unique (%)100.0%

Sample

1st row호산노인건강센터
2nd row연화원(소규모가형)
3rd row큰별요양원
4th row녹원요양원함박꽃나무집
5th row녹원요양원정금나무집
ValueCountFrequency (%)
호산노인건강센터 1
 
4.0%
소규모요양시설(가형 1
 
4.0%
연화원(소규모가형 1
 
4.0%
재가노인복지센터 1
 
4.0%
오누이 1
 
4.0%
장한의료기 1
 
4.0%
공감재가노인복지센터 1
 
4.0%
보은재가복지센터 1
 
4.0%
가온노인주간보호센터 1
 
4.0%
한결재가복지센터 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T01:34:13.129223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 13
 
6.2%
센 11
 
5.3%
가 11
 
5.3%
터 11
 
5.3%
지 10
 
4.8%
재 8
 
3.8%
복 8
 
3.8%
인 8
 
3.8%
노 8
 
3.8%
요 6
 
2.9%
Other values (65) 114
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
96.2%
Space Separator 4
 
1.9%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 13
 
6.5%
센 11
 
5.5%
가 11
 
5.5%
터 11
 
5.5%
지 10
 
5.0%
재 8
 
4.0%
복 8
 
4.0%
인 8
 
4.0%
노 8
 
4.0%
요 6
 
3.0%
Other values (62) 106
53.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
96.2%
Common 8
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 13
 
6.5%
센 11
 
5.5%
가 11
 
5.5%
터 11
 
5.5%
지 10
 
5.0%
재 8
 
4.0%
복 8
 
4.0%
인 8
 
4.0%
노 8
 
4.0%
요 6
 
3.0%
Other values (62) 106
53.0%
Common
ValueCountFrequency (%)
4
50.0%
( 2
25.0%
) 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
96.2%
ASCII 8
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 13
 
6.5%
센 11
 
5.5%
가 11
 
5.5%
터 11
 
5.5%
지 10
 
5.0%
재 8
 
4.0%
복 8
 
4.0%
인 8
 
4.0%
노 8
 
4.0%
요 6
 
3.0%
Other values (62) 106
53.0%
ASCII
ValueCountFrequency (%)
4
50.0%
( 2
25.0%
) 2
25.0%

소재지
Text

MISSING 

Distinct18
Distinct (%)85.7%
Missing23
Missing (%)52.3%
Memory size484.0 B
2023-12-11T01:34:13.436874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length30.047619
Min length22

Characters and Unicode

Total characters631
Distinct characters65
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row부산광역시 연제구 화지로 103(거제동)
2nd row부산광역시 연제구 중앙대로1066번길 35(연산동)
3rd row부산광역시 연제구 과정로132번길 66-1(연산동)
4th row부산광역시 연제구 쌍미천로84번길 99(연산동)
5th row부산광역시 연제구 쌍미천로84번길 99(연산동)
ValueCountFrequency (%)
부산광역시 21
18.6%
연제구 21
18.6%
연산동 11
 
9.7%
쌍미천로84번길 3
 
2.7%
99(연산동 3
 
2.7%
거제천로230번길 3
 
2.7%
중앙대로1066번길 2
 
1.8%
거제대로 2
 
1.8%
1층 2
 
1.8%
연미로13번길 2
 
1.8%
Other values (41) 43
38.1%
2023-12-11T01:34:13.923862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
 
14.6%
연 41
 
6.5%
산 39
 
6.2%
제 30
 
4.8%
1 24
 
3.8%
동 22
 
3.5%
로 22
 
3.5%
구 21
 
3.3%
부 21
 
3.3%
광 21
 
3.3%
Other values (55) 298
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 374
59.3%
Decimal Number 111
 
17.6%
Space Separator 92
 
14.6%
Open Punctuation 20
 
3.2%
Close Punctuation 20
 
3.2%
Other Punctuation 12
 
1.9%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 41
 
11.0%
산 39
 
10.4%
제 30
 
8.0%
동 22
 
5.9%
로 22
 
5.9%
구 21
 
5.6%
부 21
 
5.6%
광 21
 
5.6%
시 21
 
5.6%
역 21
 
5.6%
Other values (40) 115
30.7%
Decimal Number
ValueCountFrequency (%)
1 24
21.6%
2 17
15.3%
3 16
14.4%
0 14
12.6%
6 9
 
8.1%
8 8
 
7.2%
9 6
 
5.4%
5 6
 
5.4%
4 6
 
5.4%
7 5
 
4.5%
Space Separator
ValueCountFrequency (%)
92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 374
59.3%
Common 257
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 41
 
11.0%
산 39
 
10.4%
제 30
 
8.0%
동 22
 
5.9%
로 22
 
5.9%
구 21
 
5.6%
부 21
 
5.6%
광 21
 
5.6%
시 21
 
5.6%
역 21
 
5.6%
Other values (40) 115
30.7%
Common
ValueCountFrequency (%)
92
35.8%
1 24
 
9.3%
( 20
 
7.8%
) 20
 
7.8%
2 17
 
6.6%
3 16
 
6.2%
0 14
 
5.4%
, 12
 
4.7%
6 9
 
3.5%
8 8
 
3.1%
Other values (5) 25
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 374
59.3%
ASCII 257
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
35.8%
1 24
 
9.3%
( 20
 
7.8%
) 20
 
7.8%
2 17
 
6.6%
3 16
 
6.2%
0 14
 
5.4%
, 12
 
4.7%
6 9
 
3.5%
8 8
 
3.1%
Other values (5) 25
 
9.7%
Hangul
ValueCountFrequency (%)
연 41
 
11.0%
산 39
 
10.4%
제 30
 
8.0%
동 22
 
5.9%
로 22
 
5.9%
구 21
 
5.6%
부 21
 
5.6%
광 21
 
5.6%
시 21
 
5.6%
역 21
 
5.6%
Other values (40) 115
30.7%

관리법인
Text

MISSING 

Distinct10
Distinct (%)76.9%
Missing31
Missing (%)70.5%
Memory size484.0 B
2023-12-11T01:34:14.240437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7
Min length2

Characters and Unicode

Total characters91
Distinct characters38
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

Unique8 ?
Unique (%)61.5%

Sample

1st row호산사회복지회
2nd row범어
3rd row종덕복지재단
4th row(사복)예솔원
5th row(사복)예솔원
ValueCountFrequency (%)
사복)예솔원 3
20.0%
사단법인대한노인회 2
13.3%
사회복지법인 2
13.3%
호산사회복지회 1
 
6.7%
범어 1
 
6.7%
종덕복지재단 1
 
6.7%
㈜보경 1
 
6.7%
혜원 1
 
6.7%
금정총림범어 1
 
6.7%
가온노인주간보호센터 1
 
6.7%
2023-12-11T01:34:14.704476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 8
 
8.8%
복 7
 
7.7%
인 7
 
7.7%
회 6
 
6.6%
법 4
 
4.4%
원 4
 
4.4%
지 4
 
4.4%
단 3
 
3.3%
솔 3
 
3.3%
노 3
 
3.3%
Other values (28) 42
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82
90.1%
Close Punctuation 3
 
3.3%
Open Punctuation 3
 
3.3%
Space Separator 2
 
2.2%
Other Symbol 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 8
 
9.8%
복 7
 
8.5%
인 7
 
8.5%
회 6
 
7.3%
법 4
 
4.9%
원 4
 
4.9%
지 4
 
4.9%
단 3
 
3.7%
솔 3
 
3.7%
노 3
 
3.7%
Other values (24) 33
40.2%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
91.2%
Common 8
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 8
 
9.6%
복 7
 
8.4%
인 7
 
8.4%
회 6
 
7.2%
법 4
 
4.8%
원 4
 
4.8%
지 4
 
4.8%
단 3
 
3.6%
솔 3
 
3.6%
노 3
 
3.6%
Other values (25) 34
41.0%
Common
ValueCountFrequency (%)
) 3
37.5%
( 3
37.5%
2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82
90.1%
ASCII 8
 
8.8%
None 1
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 8
 
9.8%
복 7
 
8.5%
인 7
 
8.5%
회 6
 
7.3%
법 4
 
4.9%
원 4
 
4.9%
지 4
 
4.9%
단 3
 
3.7%
솔 3
 
3.7%
노 3
 
3.7%
Other values (24) 33
40.2%
ASCII
ValueCountFrequency (%)
) 3
37.5%
( 3
37.5%
2
25.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

전화번호
Text

MISSING 

Distinct18
Distinct (%)85.7%
Missing23
Missing (%)52.3%
Memory size484.0 B
2023-12-11T01:34:14.973266image/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

Unique16 ?
Unique (%)76.2%

Sample

1st row051-502-3979
2nd row051-868-0588
3rd row051-710-0708
4th row051-862-3200
5th row051-862-3200
ValueCountFrequency (%)
051-862-3200 3
 
14.3%
051-868-0588 2
 
9.5%
051-502-3979 1
 
4.8%
051-926-1956 1
 
4.8%
051-757-6823 1
 
4.8%
051-863-3232 1
 
4.8%
051-756-5956 1
 
4.8%
051-911-4373 1
 
4.8%
051-867-3143 1
 
4.8%
051-866-3309 1
 
4.8%
Other values (8) 8
38.1%
2023-12-11T01:34:15.332443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
16.7%
0 36
14.3%
5 35
13.9%
1 31
12.3%
8 31
12.3%
3 19
7.5%
6 17
6.7%
2 12
 
4.8%
9 12
 
4.8%
7 10
 
4.0%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36
17.1%
5 35
16.7%
1 31
14.8%
8 31
14.8%
3 19
9.0%
6 17
8.1%
2 12
 
5.7%
9 12
 
5.7%
7 10
 
4.8%
4 7
 
3.3%
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 36
14.3%
5 35
13.9%
1 31
12.3%
8 31
12.3%
3 19
7.5%
6 17
6.7%
2 12
 
4.8%
9 12
 
4.8%
7 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
16.7%
0 36
14.3%
5 35
13.9%
1 31
12.3%
8 31
12.3%
3 19
7.5%
6 17
6.7%
2 12
 
4.8%
9 12
 
4.8%
7 10
 
4.0%

Correlations

2023-12-11T01:34:15.480585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형시설명소재지관리법인전화번호
시설유형1.0001.0000.6940.8410.000
시설명1.0001.0001.0001.0001.000
소재지0.6941.0001.0001.0000.995
관리법인0.8411.0001.0001.0000.987
전화번호0.0001.0000.9950.9871.000

Missing values

2023-12-11T01:34:11.666907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:34:11.822239image/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.
2023-12-11T01:34:11.963975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시설유형시설명소재지관리법인전화번호
0노인의료복지시설(노인요양시설)호산노인건강센터부산광역시 연제구 화지로 103(거제동)호산사회복지회051-502-3979
1노인의료복지시설(노인요양시설)연화원(소규모가형)부산광역시 연제구 중앙대로1066번길 35(연산동)범어051-868-0588
2노인의료복지시설(노인요양시설)큰별요양원부산광역시 연제구 과정로132번길 66-1(연산동)종덕복지재단051-710-0708
3노인의료복지시설(노인요양공동생활가정)녹원요양원함박꽃나무집부산광역시 연제구 쌍미천로84번길 99(연산동)(사복)예솔원051-862-3200
4노인의료복지시설(노인요양공동생활가정)녹원요양원정금나무집부산광역시 연제구 쌍미천로84번길 99(연산동)(사복)예솔원051-862-3200
5노인의료복지시설(노인요양공동생활가정)녹원요양원미루나누집부산광역시 연제구 쌍미천로84번길 99(연산동)(사복)예솔원051-862-3200
6노인의료복지시설(노인요양공동생활가정)시연실버홈부산광역시 연제구 과정로276번길 22-1(연산동)<NA>051-865-9988
7노인의료복지시설(노인요양공동생활가정)보경요양원부산광역시 연제구 거제대로 128, 807호(거제동, 성원맨투로빌)㈜보경051-868-9845
8재가노인복지시설부산시 노인복지관 재가노인지원서비스센터부산광역시 연제구 거제천로230번길 18 (연산동)사단법인대한노인회051-853-1874
9재가노인복지시설부산시노인종합복지관주간보호센터부산광역시 연제구 거제천로230번길 18 (연산동)사단법인대한노인회051-853-1873
시설유형시설명소재지관리법인전화번호
34<NA><NA><NA><NA><NA>
35<NA><NA><NA><NA><NA>
36<NA><NA><NA><NA><NA>
37<NA><NA><NA><NA><NA>
38<NA><NA><NA><NA><NA>
39<NA><NA><NA><NA><NA>
40<NA><NA><NA><NA><NA>
41<NA><NA><NA><NA><NA>
42<NA><NA><NA><NA><NA>
43노인일자리지원기관부산연제시니어클럽부산광역시 연제구 거제대로 215, 5층(거제동, 오대빌딩)동주051-851-2190

Duplicate rows

Most frequently occurring

시설유형시설명소재지관리법인전화번호# duplicates
0<NA><NA><NA><NA><NA>23