Overview

Dataset statistics

Number of variables8
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory66.4 B

Variable types

Numeric1
Categorical2
Text3
DateTime2

Dataset

Description대구광역시 서구_노인복지시설 현황_20240202
Author대구광역시 서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15053844&dataSetDetailId=150538441cf42ba0c34f9_201711281521&provdMethod=FILE

Alerts

기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
운영주체 is highly imbalanced (55.7%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-13 13:41:49.633968
Analysis finished2024-03-13 13:41:50.793559
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.5
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-03-13T22:41:50.860890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.55
Q123.75
median46.5
Q369.25
95-th percentile87.45
Maximum92
Range91
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation26.70206
Coefficient of variation (CV)0.57423785
Kurtosis-1.2
Mean46.5
Median Absolute Deviation (MAD)23
Skewness0
Sum4278
Variance713
MonotonicityStrictly increasing
2024-03-13T22:41:51.023396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
재가노인복지시설
59 
노인의료복지시설
32 
주거복지시설
 
1

Length

Max length8
Median length8
Mean length7.9782609
Min length6

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 59
64.1%
노인의료복지시설 32
34.8%
주거복지시설 1
 
1.1%

Length

2024-03-13T22:41:51.153650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:41:51.250349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 59
64.1%
노인의료복지시설 32
34.8%
주거복지시설 1
 
1.1%

시설명
Text

Distinct90
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-03-13T22:41:51.442066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length8.7173913
Min length3

Characters and Unicode

Total characters802
Distinct characters146
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)95.7%

Sample

1st row영락양로원
2nd row간호박사요양센터
3rd row간호박사요양센터1
4th row그린노인요양원
5th row내고향노인요양원
ValueCountFrequency (%)
시니어재활요양센터 2
 
2.0%
샬롬노인종합센터 2
 
2.0%
으뜸원재가복지센터 1
 
1.0%
원대재가노인복지센터 1
 
1.0%
우리사랑복지센터 1
 
1.0%
예원노인복지센터 1
 
1.0%
실버안심노인복지센터 1
 
1.0%
대구점 1
 
1.0%
신기의료기 1
 
1.0%
송학주간보호센터 1
 
1.0%
Other values (86) 86
87.8%
2024-03-13T22:41:51.869355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 58
 
7.2%
터 58
 
7.2%
인 38
 
4.7%
노 37
 
4.6%
양 36
 
4.5%
요 34
 
4.2%
재 29
 
3.6%
지 29
 
3.6%
가 28
 
3.5%
복 27
 
3.4%
Other values (136) 428
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 781
97.4%
Decimal Number 11
 
1.4%
Space Separator 6
 
0.7%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 58
 
7.4%
터 58
 
7.4%
인 38
 
4.9%
노 37
 
4.7%
양 36
 
4.6%
요 34
 
4.4%
재 29
 
3.7%
지 29
 
3.7%
가 28
 
3.6%
복 27
 
3.5%
Other values (130) 407
52.1%
Decimal Number
ValueCountFrequency (%)
1 5
45.5%
2 4
36.4%
3 2
 
18.2%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 781
97.4%
Common 21
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 58
 
7.4%
터 58
 
7.4%
인 38
 
4.9%
노 37
 
4.7%
양 36
 
4.6%
요 34
 
4.4%
재 29
 
3.7%
지 29
 
3.7%
가 28
 
3.6%
복 27
 
3.5%
Other values (130) 407
52.1%
Common
ValueCountFrequency (%)
6
28.6%
1 5
23.8%
2 4
19.0%
( 2
 
9.5%
) 2
 
9.5%
3 2
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 781
97.4%
ASCII 21
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 58
 
7.4%
터 58
 
7.4%
인 38
 
4.9%
노 37
 
4.7%
양 36
 
4.6%
요 34
 
4.4%
재 29
 
3.7%
지 29
 
3.7%
가 28
 
3.6%
복 27
 
3.5%
Other values (130) 407
52.1%
ASCII
ValueCountFrequency (%)
6
28.6%
1 5
23.8%
2 4
19.0%
( 2
 
9.5%
) 2
 
9.5%
3 2
 
9.5%

소재지도로명주소
Text

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-03-13T22:41:52.176513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length27.586957
Min length21

Characters and Unicode

Total characters2538
Distinct characters81
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

Unique82 ?
Unique (%)89.1%

Sample

1st row대구광역시 서구 가르뱅이로 21길 3(상리동)
2nd row대구광역시 서구 통학로 대구광역시 서구 통학로 54, 2층 (내당동)
3rd row대구광역시 서구 통학로 54, 3층 (내당동)
4th row대구광역시 서구 국채보상로 354, 5층 (비산동)
5th row대구광역시 서구 통학로 175-6 (평리동)
ValueCountFrequency (%)
대구광역시 93
17.5%
서구 93
17.5%
평리동 39
 
7.3%
비산동 20
 
3.8%
1층 17
 
3.2%
서대구로 17
 
3.2%
국채보상로 13
 
2.4%
내당동 12
 
2.3%
3층 12
 
2.3%
2층 12
 
2.3%
Other values (131) 204
38.3%
2024-03-13T22:41:52.639286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
441
17.4%
구 211
 
8.3%
대 123
 
4.8%
서 120
 
4.7%
광 93
 
3.7%
역 93
 
3.7%
시 93
 
3.7%
로 93
 
3.7%
동 92
 
3.6%
) 91
 
3.6%
Other values (71) 1088
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1437
56.6%
Space Separator 441
 
17.4%
Decimal Number 394
 
15.5%
Close Punctuation 91
 
3.6%
Open Punctuation 91
 
3.6%
Other Punctuation 66
 
2.6%
Dash Punctuation 17
 
0.7%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 211
14.7%
대 123
 
8.6%
서 120
 
8.4%
광 93
 
6.5%
역 93
 
6.5%
시 93
 
6.5%
로 93
 
6.5%
동 92
 
6.4%
리 60
 
4.2%
층 57
 
4.0%
Other values (55) 402
28.0%
Decimal Number
ValueCountFrequency (%)
1 86
21.8%
2 58
14.7%
3 57
14.5%
6 39
9.9%
4 33
 
8.4%
7 32
 
8.1%
5 30
 
7.6%
0 22
 
5.6%
8 21
 
5.3%
9 16
 
4.1%
Space Separator
ValueCountFrequency (%)
441
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1437
56.6%
Common 1101
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 211
14.7%
대 123
 
8.6%
서 120
 
8.4%
광 93
 
6.5%
역 93
 
6.5%
시 93
 
6.5%
로 93
 
6.5%
동 92
 
6.4%
리 60
 
4.2%
층 57
 
4.0%
Other values (55) 402
28.0%
Common
ValueCountFrequency (%)
441
40.1%
) 91
 
8.3%
( 91
 
8.3%
1 86
 
7.8%
, 66
 
6.0%
2 58
 
5.3%
3 57
 
5.2%
6 39
 
3.5%
4 33
 
3.0%
7 32
 
2.9%
Other values (6) 107
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1437
56.6%
ASCII 1101
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
441
40.1%
) 91
 
8.3%
( 91
 
8.3%
1 86
 
7.8%
, 66
 
6.0%
2 58
 
5.3%
3 57
 
5.2%
6 39
 
3.5%
4 33
 
3.0%
7 32
 
2.9%
Other values (6) 107
 
9.7%
Hangul
ValueCountFrequency (%)
구 211
14.7%
대 123
 
8.6%
서 120
 
8.4%
광 93
 
6.5%
역 93
 
6.5%
시 93
 
6.5%
로 93
 
6.5%
동 92
 
6.4%
리 60
 
4.2%
층 57
 
4.0%
Other values (55) 402
28.0%

전화번호
Text

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-03-13T22:41:52.893709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1104
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

Unique80 ?
Unique (%)87.0%

Sample

1st row053-555-1705
2nd row053-572-8812
3rd row053-572-8813
4th row053-565-7890
5th row053-556-9988
ValueCountFrequency (%)
053-566-8575 4
 
4.3%
053-568-9988 2
 
2.2%
053-521-0741 2
 
2.2%
053-556-8800 2
 
2.2%
053-567-8119 2
 
2.2%
053-555-1705 1
 
1.1%
053-359-2227 1
 
1.1%
053-553-0424 1
 
1.1%
053-242-3788 1
 
1.1%
053-561-6218 1
 
1.1%
Other values (75) 75
81.5%
2024-03-13T22:41:53.298856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 232
21.0%
- 184
16.7%
0 152
13.8%
3 141
12.8%
6 75
 
6.8%
8 73
 
6.6%
2 65
 
5.9%
7 53
 
4.8%
1 50
 
4.5%
9 50
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 920
83.3%
Dash Punctuation 184
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 232
25.2%
0 152
16.5%
3 141
15.3%
6 75
 
8.2%
8 73
 
7.9%
2 65
 
7.1%
7 53
 
5.8%
1 50
 
5.4%
9 50
 
5.4%
4 29
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 232
21.0%
- 184
16.7%
0 152
13.8%
3 141
12.8%
6 75
 
6.8%
8 73
 
6.6%
2 65
 
5.9%
7 53
 
4.8%
1 50
 
4.5%
9 50
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 232
21.0%
- 184
16.7%
0 152
13.8%
3 141
12.8%
6 75
 
6.8%
8 73
 
6.6%
2 65
 
5.9%
7 53
 
4.8%
1 50
 
4.5%
9 50
 
4.5%

운영주체
Categorical

IMBALANCE 

Distinct17
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size868.0 B
개인
68 
사단법인 샬롬
 
4
사회복지법인 영락재단
 
3
사회복지법인 진각복지재단
 
3
(주)하얀마을
 
2
Other values (12)
12 

Length

Max length14
Median length2
Mean length4.0434783
Min length2

Unique

Unique12 ?
Unique (%)13.0%

Sample

1st row사회복지법인 영락재단
2nd row개인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 68
73.9%
사단법인 샬롬 4
 
4.3%
사회복지법인 영락재단 3
 
3.3%
사회복지법인 진각복지재단 3
 
3.3%
(주)하얀마을 2
 
2.2%
사단법인한국노인의전화 1
 
1.1%
의료법인 성심의료재단 1
 
1.1%
의료법인 용각의료재단 1
 
1.1%
(주)대교뉴이프 1
 
1.1%
(사) 한국여성인력개발원 1
 
1.1%
Other values (7) 7
 
7.6%

Length

2024-03-13T22:41:53.465723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개인 68
63.0%
사회복지법인 8
 
7.4%
샬롬 4
 
3.7%
사단법인 4
 
3.7%
영락재단 3
 
2.8%
진각복지재단 3
 
2.8%
주)하얀마을 2
 
1.9%
의료법인 2
 
1.9%
진명복지재단 1
 
0.9%
케어링커뮤니티케어 1
 
0.9%
Other values (12) 12
 
11.1%

개소일자
Date

Distinct71
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum1977-09-26 00:00:00
Maximum2024-02-01 00:00:00
2024-03-13T22:41:53.585007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:41:53.717587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2024-02-02 00:00:00
Maximum2024-02-02 00:00:00
2024-03-13T22:41:53.840722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:41:53.933739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-13T22:41:50.512825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T22:41:54.015624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분시설명소재지도로명주소전화번호운영주체개소일자
연번1.0000.7730.8700.9730.9180.4050.882
구분0.7731.0000.7680.9530.8370.4510.981
시설명0.8700.7681.0000.9890.9981.0000.949
소재지도로명주소0.9730.9530.9891.0000.9991.0000.996
전화번호0.9180.8370.9980.9991.0001.0000.993
운영주체0.4050.4511.0001.0001.0001.0000.983
개소일자0.8820.9810.9490.9960.9930.9831.000
2024-03-13T22:41:54.122290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분운영주체
구분1.0000.248
운영주체0.2481.000
2024-03-13T22:41:54.503565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분운영주체
연번1.0000.6260.156
구분0.6261.0000.248
운영주체0.1560.2481.000

Missing values

2024-03-13T22:41:50.625812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:41:50.750073image/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

연번구분시설명소재지도로명주소전화번호운영주체개소일자기준일자
01주거복지시설영락양로원대구광역시 서구 가르뱅이로 21길 3(상리동)053-555-1705사회복지법인 영락재단1977-09-262024-02-02
12노인의료복지시설간호박사요양센터대구광역시 서구 통학로 대구광역시 서구 통학로 54, 2층 (내당동)053-572-8812개인2015-06-012024-02-02
23노인의료복지시설간호박사요양센터1대구광역시 서구 통학로 54, 3층 (내당동)053-572-8813개인2015-06-012024-02-02
34노인의료복지시설그린노인요양원대구광역시 서구 국채보상로 354, 5층 (비산동)053-565-7890개인2015-01-152024-02-02
45노인의료복지시설내고향노인요양원대구광역시 서구 통학로 175-6 (평리동)053-556-9988개인2014-10-012024-02-02
56노인의료복지시설대구실버요양센터대구광역시 서구 통학로 57, 3층 (내당동)053-553-4321개인2014-05-012024-02-02
67노인의료복지시설동산마더홈요양원대구광역시 서구 서대구로 298 (비산동)053-355-1115개인2021-01-012024-02-02
78노인의료복지시설예가노인요양센터3대구광역시 서구 서대구로 177, 4층 (평리동)053-566-9939개인2023-08-012024-02-02
89노인의료복지시설예가노인요양센터1대구광역시 서구 서대구로 177, 2층 (평리동)053-566-9914개인2023-08-012024-02-02
910노인의료복지시설예가노인요양센터2대구광역시 서구 서대구로 177, 3층 (평리동)053-566-9929개인2023-08-012024-02-02
연번구분시설명소재지도로명주소전화번호운영주체개소일자기준일자
8283재가노인복지시설하나노인주간보호센터대구광역시 서구 달구벌대로371길 6 (내당동)053-559-1002개인2020-01-062024-02-02
8384재가노인복지시설하얀민들레주간보호대구광역시 서구 통학로38길 13 (평리동)053-556-8800(주)하얀마을2021-10-012024-02-02
8485재가노인복지시설하은재가노인복지센터대구광역시 서구 서대구로68길 60-3, 1층 (비산동)053-356-9980개인2023-09-012024-02-02
8586재가노인복지시설한마음방문재가센터대구광역시 서구 서대구로42길 26, 1층 (평리동)053-571-9727개인2023-09-012024-02-02
8687재가노인복지시설한마음재가복지센터대구광역시 서구 달서로 7, 2층 (내당동)053-567-1112개인2021-07-212024-02-02
8788재가노인복지시설한올재가복지센터대구광역시 서구 당산로45길 56, 1층 (중리동)053-259-3020개인2023-04-272024-02-02
8889재가노인복지시설해맑은노인복지센터대구광역시 서구 당산로47길 6, 2층 201호 (내당동)053-721-8540개인2021-01-212024-02-02
8990재가노인복지시설해바라기재가노인복지센터대구광역시 서구 달서로17길 17, 상가동 2층 202호 (비산동, 한신휴플러스 아파트)053-522-1478개인2023-08-012024-02-02
9091재가노인복지시설행복주간보호센터대구광역시 서구 국채보상로50길 10, 3층 (평리동)053-552-8899개인2023-09-012024-02-02
9192재가노인복지시설효원노인복지센터대구광역시 서구 국채보상로 316, 401~403호 (평리동, 평리롯데캐슬)053-521-4700개인2021-06-012024-02-02