Overview

Dataset statistics

Number of variables7
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory59.9 B

Variable types

Text5
DateTime2

Dataset

Description혼자서 일상생활이 어려운 취약계층 노인에게 개별 욕구에 따른 서비스를 제공하여 예방적 복지 실현 및 사각지대 없는 사회안전망을 구축하기 위한 재가노인돌봄센터
URLhttps://www.data.go.kr/data/15116831/fileData.do

Alerts

지정일 has constant value ""Constant
시설명 has unique valuesUnique
운영주체 has unique valuesUnique
시설장 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique
설치일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:21:37.776606
Analysis finished2023-12-12 14:21:38.437843
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T23:21:38.665486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length10.764706
Min length10

Characters and Unicode

Total characters366
Distinct characters70
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row어르신마을재가노인돌봄센터
2nd row삼덕재가노인돌봄센터
3rd row감천재가노인돌봄센터
4th row동구재가노인돌봄센터
5th row효청원재가노인돌봄센터
ValueCountFrequency (%)
어르신마을재가노인돌봄센터 1
 
2.9%
삼덕재가노인돌봄센터 1
 
2.9%
에덴재가노인돌봄센터 1
 
2.9%
수경재가노인돌봄센터 1
 
2.9%
효경재가노인돌봄센터 1
 
2.9%
대구재가노인돌봄센터 1
 
2.9%
대덕재가노인돌봄센터 1
 
2.9%
대구ywca재가노인돌봄센터 1
 
2.9%
굿실버재가노인돌봄센터 1
 
2.9%
청인재가노인돌봄센터 1
 
2.9%
Other values (25) 25
71.4%
2023-12-12T23:21:39.101193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 36
9.8%
가 36
9.8%
노 35
9.6%
돌 34
9.3%
터 34
9.3%
센 34
9.3%
봄 34
9.3%
재 34
9.3%
구 7
 
1.9%
성 5
 
1.4%
Other values (60) 77
21.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 361
98.6%
Uppercase Letter 4
 
1.1%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 36
10.0%
가 36
10.0%
노 35
9.7%
돌 34
9.4%
터 34
9.4%
센 34
9.4%
봄 34
9.4%
재 34
9.4%
구 7
 
1.9%
성 5
 
1.4%
Other values (55) 72
19.9%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
W 1
25.0%
C 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 361
98.6%
Latin 4
 
1.1%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 36
10.0%
가 36
10.0%
노 35
9.7%
돌 34
9.4%
터 34
9.4%
센 34
9.4%
봄 34
9.4%
재 34
9.4%
구 7
 
1.9%
성 5
 
1.4%
Other values (55) 72
19.9%
Latin
ValueCountFrequency (%)
Y 1
25.0%
W 1
25.0%
C 1
25.0%
A 1
25.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 361
98.6%
ASCII 5
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 36
10.0%
가 36
10.0%
노 35
9.7%
돌 34
9.4%
터 34
9.4%
센 34
9.4%
봄 34
9.4%
재 34
9.4%
구 7
 
1.9%
성 5
 
1.4%
Other values (55) 72
19.9%
ASCII
ValueCountFrequency (%)
Y 1
20.0%
W 1
20.0%
C 1
20.0%
A 1
20.0%
1
20.0%

운영주체
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T23:21:39.338993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length9.3235294
Min length4

Characters and Unicode

Total characters317
Distinct characters80
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

Unique34 ?
Unique (%)100.0%

Sample

1st row사복)운경복지재단
2nd row사복)한국장로교복지재단
3rd row사복)감천복지재단
4th row사복)육주복지회
5th row사)효청원
ValueCountFrequency (%)
사복)운경복지재단 1
 
2.7%
사복)에덴복지재단 1
 
2.7%
사)효경 1
 
2.7%
사복)아시아복지재단 1
 
2.7%
사복)대덕재단 1
 
2.7%
사)대한여자기독교 1
 
2.7%
청년연합회대구지부 1
 
2.7%
사복)한국장로교복지재단 1
 
2.7%
사)굿실버복지회 1
 
2.7%
사복)상록수재단 1
 
2.7%
Other values (27) 27
73.0%
2023-12-12T23:21:39.722796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
복 48
15.1%
) 35
 
11.0%
사 34
 
10.7%
지 24
 
7.6%
재 23
 
7.3%
단 22
 
6.9%
회 10
 
3.2%
대 6
 
1.9%
한 5
 
1.6%
교 4
 
1.3%
Other values (70) 106
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
87.4%
Close Punctuation 35
 
11.0%
Space Separator 3
 
0.9%
Open Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
복 48
17.3%
사 34
 
12.3%
지 24
 
8.7%
재 23
 
8.3%
단 22
 
7.9%
회 10
 
3.6%
대 6
 
2.2%
한 5
 
1.8%
교 4
 
1.4%
경 4
 
1.4%
Other values (67) 97
35.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
87.4%
Common 40
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
복 48
17.3%
사 34
 
12.3%
지 24
 
8.7%
재 23
 
8.3%
단 22
 
7.9%
회 10
 
3.6%
대 6
 
2.2%
한 5
 
1.8%
교 4
 
1.4%
경 4
 
1.4%
Other values (67) 97
35.0%
Common
ValueCountFrequency (%)
) 35
87.5%
3
 
7.5%
( 2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
87.4%
ASCII 40
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
복 48
17.3%
사 34
 
12.3%
지 24
 
8.7%
재 23
 
8.3%
단 22
 
7.9%
회 10
 
3.6%
대 6
 
2.2%
한 5
 
1.8%
교 4
 
1.4%
경 4
 
1.4%
Other values (67) 97
35.0%
ASCII
ValueCountFrequency (%)
) 35
87.5%
3
 
7.5%
( 2
 
5.0%

시설장
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T23:21:39.981476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters102
Distinct characters63
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

Unique34 ?
Unique (%)100.0%

Sample

1st row이영현
2nd row박태희
3rd row전범재
4th row최남출
5th row배익철
ValueCountFrequency (%)
이영현 1
 
2.9%
박태희 1
 
2.9%
최용우 1
 
2.9%
김길동 1
 
2.9%
이승무 1
 
2.9%
정원윤 1
 
2.9%
도현욱 1
 
2.9%
전문희 1
 
2.9%
장성태 1
 
2.9%
조진현 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T23:21:40.422395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 5
 
4.9%
김 5
 
4.9%
최 5
 
4.9%
영 5
 
4.9%
현 4
 
3.9%
희 3
 
2.9%
우 3
 
2.9%
전 3
 
2.9%
정 3
 
2.9%
용 3
 
2.9%
Other values (53) 63
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
4.9%
김 5
 
4.9%
최 5
 
4.9%
영 5
 
4.9%
현 4
 
3.9%
희 3
 
2.9%
우 3
 
2.9%
전 3
 
2.9%
정 3
 
2.9%
용 3
 
2.9%
Other values (53) 63
61.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
4.9%
김 5
 
4.9%
최 5
 
4.9%
영 5
 
4.9%
현 4
 
3.9%
희 3
 
2.9%
우 3
 
2.9%
전 3
 
2.9%
정 3
 
2.9%
용 3
 
2.9%
Other values (53) 63
61.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 5
 
4.9%
김 5
 
4.9%
최 5
 
4.9%
영 5
 
4.9%
현 4
 
3.9%
희 3
 
2.9%
우 3
 
2.9%
전 3
 
2.9%
정 3
 
2.9%
용 3
 
2.9%
Other values (53) 63
61.8%

소재지
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T23:21:40.697917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23
Mean length19.558824
Min length15

Characters and Unicode

Total characters665
Distinct characters100
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

Unique34 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 서성로 96, 5층
2nd row대구광역시 중구 공평로22(삼덕동2가)
3rd row대구광역시 동구 갓바위로75(진인동)
4th row대구광역시 동구 경안로 109길 22-7(서호동)
5th row대구광역시 동구 효목로 49, 부광빌딩 3층
ValueCountFrequency (%)
대구광역시 30
21.3%
수성구 6
 
4.3%
동구 6
 
4.3%
달서구 6
 
4.3%
달성군 4
 
2.8%
서구 4
 
2.8%
북구 4
 
2.8%
2층 3
 
2.1%
남구 2
 
1.4%
중구 2
 
1.4%
Other values (72) 74
52.5%
2023-12-12T23:21:41.141714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
16.2%
구 63
 
9.5%
대 34
 
5.1%
로 33
 
5.0%
광 31
 
4.7%
역 30
 
4.5%
시 30
 
4.5%
2 18
 
2.7%
성 15
 
2.3%
1 15
 
2.3%
Other values (90) 288
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 412
62.0%
Decimal Number 119
 
17.9%
Space Separator 108
 
16.2%
Dash Punctuation 8
 
1.2%
Other Punctuation 6
 
0.9%
Close Punctuation 5
 
0.8%
Open Punctuation 5
 
0.8%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 63
15.3%
대 34
 
8.3%
로 33
 
8.0%
광 31
 
7.5%
역 30
 
7.3%
시 30
 
7.3%
성 15
 
3.6%
동 14
 
3.4%
서 13
 
3.2%
달 11
 
2.7%
Other values (73) 138
33.5%
Decimal Number
ValueCountFrequency (%)
2 18
15.1%
1 15
12.6%
3 14
11.8%
0 13
10.9%
4 12
10.1%
5 12
10.1%
9 12
10.1%
7 8
6.7%
6 8
6.7%
8 7
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 412
62.0%
Common 251
37.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 63
15.3%
대 34
 
8.3%
로 33
 
8.0%
광 31
 
7.5%
역 30
 
7.3%
시 30
 
7.3%
성 15
 
3.6%
동 14
 
3.4%
서 13
 
3.2%
달 11
 
2.7%
Other values (73) 138
33.5%
Common
ValueCountFrequency (%)
108
43.0%
2 18
 
7.2%
1 15
 
6.0%
3 14
 
5.6%
0 13
 
5.2%
4 12
 
4.8%
5 12
 
4.8%
9 12
 
4.8%
7 8
 
3.2%
6 8
 
3.2%
Other values (5) 31
 
12.4%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 412
62.0%
ASCII 253
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
42.7%
2 18
 
7.1%
1 15
 
5.9%
3 14
 
5.5%
0 13
 
5.1%
4 12
 
4.7%
5 12
 
4.7%
9 12
 
4.7%
7 8
 
3.2%
6 8
 
3.2%
Other values (7) 33
 
13.0%
Hangul
ValueCountFrequency (%)
구 63
15.3%
대 34
 
8.3%
로 33
 
8.0%
광 31
 
7.5%
역 30
 
7.3%
시 30
 
7.3%
성 15
 
3.6%
동 14
 
3.4%
서 13
 
3.2%
달 11
 
2.7%
Other values (73) 138
33.5%

연락처
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T23:21:41.358904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters408
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

Unique34 ?
Unique (%)100.0%

Sample

1st row053-424-0881
2nd row053-423-3279
3rd row053-986-7708
4th row053-964-3111
5th row053-751-1152
ValueCountFrequency (%)
053-424-0881 1
 
2.9%
053-423-3279 1
 
2.9%
053-615-1133 1
 
2.9%
053-634-2006 1
 
2.9%
053-617-0112 1
 
2.9%
053-295-6070 1
 
2.9%
053-625-9523 1
 
2.9%
053-587-1968 1
 
2.9%
053-652-0272 1
 
2.9%
053-359-2227 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T23:21:41.661600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.7%
0 59
14.5%
3 59
14.5%
5 53
13.0%
7 30
7.4%
2 28
6.9%
9 26
 
6.4%
6 25
 
6.1%
1 21
 
5.1%
8 20
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
17.4%
3 59
17.4%
5 53
15.6%
7 30
8.8%
2 28
8.2%
9 26
7.6%
6 25
7.4%
1 21
 
6.2%
8 20
 
5.9%
4 19
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.7%
0 59
14.5%
3 59
14.5%
5 53
13.0%
7 30
7.4%
2 28
6.9%
9 26
 
6.4%
6 25
 
6.1%
1 21
 
5.1%
8 20
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.7%
0 59
14.5%
3 59
14.5%
5 53
13.0%
7 30
7.4%
2 28
6.9%
9 26
 
6.4%
6 25
 
6.1%
1 21
 
5.1%
8 20
 
4.9%

설치일
Date

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum1998-05-20 00:00:00
Maximum2014-09-04 00:00:00
2023-12-12T23:21:41.795377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:41.931833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

지정일
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2020-01-01 00:00:00
Maximum2020-01-01 00:00:00
2023-12-12T23:21:42.044278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:42.151049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T23:21:42.229366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명운영주체시설장소재지연락처설치일
시설명1.0001.0001.0001.0001.0001.000
운영주체1.0001.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.000
설치일1.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T23:21:38.226258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:21:38.372947image/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

시설명운영주체시설장소재지연락처설치일지정일
0어르신마을재가노인돌봄센터사복)운경복지재단이영현대구광역시 중구 서성로 96, 5층053-424-08812003-02-102020-01-01
1삼덕재가노인돌봄센터사복)한국장로교복지재단박태희대구광역시 중구 공평로22(삼덕동2가)053-423-32792007-04-192020-01-01
2감천재가노인돌봄센터사복)감천복지재단전범재대구광역시 동구 갓바위로75(진인동)053-986-77082000-12-262020-01-01
3동구재가노인돌봄센터사복)육주복지회최남출대구광역시 동구 경안로 109길 22-7(서호동)053-964-31112005-01-012020-01-01
4효청원재가노인돌봄센터사)효청원배익철대구광역시 동구 효목로 49, 부광빌딩 3층053-751-11522001-06-122020-01-01
5진명재가노인돌봄센터사복)진명복지재단김남형대구광역시 동구 아양로 239053-939-88882008-04-032020-01-01
6성덕재가노인돌봄센터사복)성덕복지재단정선영대구광역시 동구 반야월로 100053-567-99202014-02-172020-01-01
7신안재가노인돌봄센터사복)신안복지재단정현달대구광역시 동구 부동길 30053-985-99572006-12-262020-01-01
8대구노인의전화 재가노인돌봄센터사)한국노인의전화대구지회김삼화대구광역시 서구 국채보상로 356, 3층053-424-60702003-02-052020-01-01
9정다운재가노인돌봄센터사)선우복지마을조진현대구광역시 서구 고성로 93, 2층053-359-22271999-01-292020-01-01
시설명운영주체시설장소재지연락처설치일지정일
24성서재가노인돌봄센터사복)상록수재단이병규대구광역시 달서구 장기로 053-253-1053-716-61262012-04-062020-01-01
25월성재가노인돌봄센터사복)대구사회복지협의회김홍렬대구광역시 달서구 월성로 20053-636-73001999-01-082020-01-01
26굿실버재가노인돌봄센터사)굿실버복지회장성태대구광역시 달서구 상인로 84053-652-02722003-12-062020-01-01
27대구YWCA재가노인돌봄센터(사)대한여자기독교 청년연합회대구지부전문희대구광역시 달서구 성서로 377053-587-19682007-02-282020-01-01
28대덕재가노인돌봄센터사복)대덕재단도현욱대구광역시 달서구 한실로 89053-625-95232001-10-012020-01-01
29대구재가노인돌봄센터사복)아시아복지재단정원윤대구광역시 달서구 월배로 385053-295-60701999-01-042020-01-01
30효경재가노인돌봄센터사)효경이승무달성군 현풍읍 현풍중앙로 87-2053-617-01122007-12-202020-01-01
31수경재가노인돌봄센터사복)수경복지재단김길동달성군 화원읍 비슬로 2490, 4층053-634-20062006-08-142020-01-01
32에덴재가노인돌봄센터사복)에덴복지재단최용우달성군 옥포읍 비슬로 1904, 2층053-615-11332000-03-312020-01-01
33늘푸른재가노인돌봄센터사복)금화복지재단함영덕달성군 가창면 가창로1053-097-4 1층053-637-99882014-09-042020-01-01