Overview

Dataset statistics

Number of variables10
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory84.1 B

Variable types

Text4
Categorical3
Numeric2
DateTime1

Dataset

Description대구광역시 북구 관내에서 운영중인 노인요양시설 (시설유형, 도로명주소, 위치, 연락처, 설치일자, 설치주체 등) 정보를 제공합니다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15028072/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도High correlation
설치주체 is highly overall correlated with 위도High correlation
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:23:08.574537
Analysis finished2023-12-12 15:23:09.891078
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-13T00:23:10.060024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.5238095
Min length4

Characters and Unicode

Total characters474
Distinct characters118
Distinct categories7 ?
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 (%)100.0%

Sample

1st row(주)가호노인복지센터
2nd rowe-편한요양센터
3rd rowe-햇살복지센터
4th row가가호호노인복지센터
5th row가람노인복지센터1
ValueCountFrequency (%)
주식회사 3
 
4.5%
대구케어요양원 1
 
1.5%
천유원실버타운 1
 
1.5%
스마일요양원 1
 
1.5%
신세계실버타운 1
 
1.5%
신한솔요양원1 1
 
1.5%
신한솔요양원2 1
 
1.5%
언제나봄요양원 1
 
1.5%
엘림실버요양원 1
 
1.5%
연세숲속요양원 1
 
1.5%
Other values (54) 54
81.8%
2023-12-13T00:23:10.426678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 35
 
7.4%
요 34
 
7.2%
원 30
 
6.3%
터 24
 
5.1%
센 24
 
5.1%
복 21
 
4.4%
지 16
 
3.4%
인 13
 
2.7%
노 13
 
2.7%
실 13
 
2.7%
Other values (108) 251
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 453
95.6%
Decimal Number 12
 
2.5%
Space Separator 3
 
0.6%
Lowercase Letter 2
 
0.4%
Dash Punctuation 2
 
0.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 35
 
7.7%
요 34
 
7.5%
원 30
 
6.6%
터 24
 
5.3%
센 24
 
5.3%
복 21
 
4.6%
지 16
 
3.5%
인 13
 
2.9%
노 13
 
2.9%
실 13
 
2.9%
Other values (100) 230
50.8%
Decimal Number
ValueCountFrequency (%)
2 7
58.3%
1 4
33.3%
4 1
 
8.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 453
95.6%
Common 19
 
4.0%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 35
 
7.7%
요 34
 
7.5%
원 30
 
6.6%
터 24
 
5.3%
센 24
 
5.3%
복 21
 
4.6%
지 16
 
3.5%
인 13
 
2.9%
노 13
 
2.9%
실 13
 
2.9%
Other values (100) 230
50.8%
Common
ValueCountFrequency (%)
2 7
36.8%
1 4
21.1%
3
15.8%
- 2
 
10.5%
4 1
 
5.3%
( 1
 
5.3%
) 1
 
5.3%
Latin
ValueCountFrequency (%)
e 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 453
95.6%
ASCII 21
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 35
 
7.7%
요 34
 
7.5%
원 30
 
6.6%
터 24
 
5.3%
센 24
 
5.3%
복 21
 
4.6%
지 16
 
3.5%
인 13
 
2.9%
노 13
 
2.9%
실 13
 
2.9%
Other values (100) 230
50.8%
ASCII
ValueCountFrequency (%)
2 7
33.3%
1 4
19.0%
3
14.3%
e 2
 
9.5%
- 2
 
9.5%
4 1
 
4.8%
( 1
 
4.8%
) 1
 
4.8%

시설유형
Categorical

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
노인요양공동생활가정
35 
노인요양시설
27 
양로시설
 
1

Length

Max length10
Median length10
Mean length8.1904762
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row노인요양공동생활가정
2nd row노인요양시설
3rd row노인요양공동생활가정
4th row노인요양공동생활가정
5th row노인요양공동생활가정

Common Values

ValueCountFrequency (%)
노인요양공동생활가정 35
55.6%
노인요양시설 27
42.9%
양로시설 1
 
1.6%

Length

2023-12-13T00:23:10.610121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:23:10.711368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인요양공동생활가정 35
55.6%
노인요양시설 27
42.9%
양로시설 1
 
1.6%

소재지도로명주소
Text

Distinct58
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-13T00:23:10.967722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length33
Mean length26.666667
Min length21

Characters and Unicode

Total characters1680
Distinct characters94
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

Unique53 ?
Unique (%)84.1%

Sample

1st row대구광역시 북구 동북로 263, 6층 (복현동)
2nd row대구광역시 북구 칠곡중앙대로 426 (읍내동)
3rd row대구광역시 북구 학정로42길 22-21 (구암동)
4th row대구광역시 북구 관음중앙로 167 (읍내동)
5th row대구광역시 북구 팔거천동로 210, 7층 (동천동)
ValueCountFrequency (%)
대구광역시 63
 
18.3%
북구 63
 
18.3%
칠곡중앙대로 9
 
2.6%
태전동 8
 
2.3%
복현동 8
 
2.3%
동천동 6
 
1.7%
읍내동 6
 
1.7%
서변동 6
 
1.7%
칠성동2가 5
 
1.4%
침산동 4
 
1.2%
Other values (114) 167
48.4%
2023-12-13T00:23:11.418129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
282
 
16.8%
구 128
 
7.6%
대 80
 
4.8%
동 80
 
4.8%
북 66
 
3.9%
( 63
 
3.8%
) 63
 
3.8%
광 63
 
3.8%
시 63
 
3.8%
역 63
 
3.8%
Other values (84) 729
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 953
56.7%
Space Separator 282
 
16.8%
Decimal Number 266
 
15.8%
Open Punctuation 63
 
3.8%
Close Punctuation 63
 
3.8%
Other Punctuation 34
 
2.0%
Dash Punctuation 19
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 128
13.4%
대 80
 
8.4%
동 80
 
8.4%
북 66
 
6.9%
광 63
 
6.6%
시 63
 
6.6%
역 63
 
6.6%
로 60
 
6.3%
층 24
 
2.5%
칠 20
 
2.1%
Other values (69) 306
32.1%
Decimal Number
ValueCountFrequency (%)
2 55
20.7%
1 50
18.8%
4 28
10.5%
0 24
9.0%
5 24
9.0%
7 23
8.6%
6 22
 
8.3%
3 21
 
7.9%
9 11
 
4.1%
8 8
 
3.0%
Space Separator
ValueCountFrequency (%)
282
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 953
56.7%
Common 727
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 128
13.4%
대 80
 
8.4%
동 80
 
8.4%
북 66
 
6.9%
광 63
 
6.6%
시 63
 
6.6%
역 63
 
6.6%
로 60
 
6.3%
층 24
 
2.5%
칠 20
 
2.1%
Other values (69) 306
32.1%
Common
ValueCountFrequency (%)
282
38.8%
( 63
 
8.7%
) 63
 
8.7%
2 55
 
7.6%
1 50
 
6.9%
, 34
 
4.7%
4 28
 
3.9%
0 24
 
3.3%
5 24
 
3.3%
7 23
 
3.2%
Other values (5) 81
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 953
56.7%
ASCII 727
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
282
38.8%
( 63
 
8.7%
) 63
 
8.7%
2 55
 
7.6%
1 50
 
6.9%
, 34
 
4.7%
4 28
 
3.9%
0 24
 
3.3%
5 24
 
3.3%
7 23
 
3.2%
Other values (5) 81
 
11.1%
Hangul
ValueCountFrequency (%)
구 128
13.4%
대 80
 
8.4%
동 80
 
8.4%
북 66
 
6.9%
광 63
 
6.6%
시 63
 
6.6%
역 63
 
6.6%
로 60
 
6.3%
층 24
 
2.5%
칠 20
 
2.1%
Other values (69) 306
32.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.912865
Minimum35.876481
Maximum35.960496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:23:11.587881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.876481
5-th percentile35.882364
Q135.892482
median35.915507
Q335.934621
95-th percentile35.94328
Maximum35.960496
Range0.08401519
Interquartile range (IQR)0.042139015

Descriptive statistics

Standard deviation0.023205195
Coefficient of variation (CV)0.0006461527
Kurtosis-1.3685907
Mean35.912865
Median Absolute Deviation (MAD)0.02175319
Skewness0.088190803
Sum2262.5105
Variance0.00053848107
MonotonicityNot monotonic
2023-12-13T00:23:11.769455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.89742671 3
 
4.8%
35.89436535 2
 
3.2%
35.88236389 2
 
3.2%
35.88300089 2
 
3.2%
35.9432801 2
 
3.2%
35.93087223 2
 
3.2%
35.91859926 2
 
3.2%
35.91550733 2
 
3.2%
35.88862191 2
 
3.2%
35.90037132 2
 
3.2%
Other values (40) 42
66.7%
ValueCountFrequency (%)
35.87648128 1
1.6%
35.87807949 2
3.2%
35.88236389 2
3.2%
35.88300089 2
3.2%
35.88375709 1
1.6%
35.88562849 1
1.6%
35.88737126 1
1.6%
35.888614 1
1.6%
35.88862191 2
3.2%
35.88896317 1
1.6%
ValueCountFrequency (%)
35.96049647 1
1.6%
35.95013688 1
1.6%
35.94513149 1
1.6%
35.9432801 2
3.2%
35.94269732 2
3.2%
35.94254536 1
1.6%
35.94241808 1
1.6%
35.94210797 1
1.6%
35.94077803 1
1.6%
35.93788385 1
1.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57875
Minimum128.51678
Maximum128.62713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T00:23:11.968596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.51678
5-th percentile128.54484
Q1128.55046
median128.58524
Q3128.59903
95-th percentile128.6222
Maximum128.62713
Range0.1103476
Interquartile range (IQR)0.04857135

Descriptive statistics

Standard deviation0.028531029
Coefficient of variation (CV)0.00022189536
Kurtosis-1.25456
Mean128.57875
Median Absolute Deviation (MAD)0.0267906
Skewness0.013473078
Sum8100.4614
Variance0.00081401962
MonotonicityNot monotonic
2023-12-13T00:23:12.586521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6167408 3
 
4.8%
128.6196303 2
 
3.2%
128.5938971 2
 
3.2%
128.590845 2
 
3.2%
128.5591069 2
 
3.2%
128.546696 2
 
3.2%
128.5480185 2
 
3.2%
128.5481079 2
 
3.2%
128.5710604 2
 
3.2%
128.622491 2
 
3.2%
Other values (40) 42
66.7%
ValueCountFrequency (%)
128.5167786 1
1.6%
128.5359228 1
1.6%
128.5408357 1
1.6%
128.5447363 1
1.6%
128.5458029 1
1.6%
128.54585 1
1.6%
128.546696 2
3.2%
128.5480185 2
3.2%
128.5481079 2
3.2%
128.5486015 1
1.6%
ValueCountFrequency (%)
128.6271262 1
 
1.6%
128.6247395 1
 
1.6%
128.622491 2
3.2%
128.6196303 2
3.2%
128.6193043 1
 
1.6%
128.6167408 3
4.8%
128.6072536 1
 
1.6%
128.6049585 1
 
1.6%
128.6025607 1
 
1.6%
128.6017503 2
3.2%

전화번호
Text

Distinct57
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-13T00:23:12.852429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters756
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

Unique52 ?
Unique (%)82.5%

Sample

1st row053-219-4470
2nd row053-741-8899
3rd row053-313-1136
4th row053-561-2100
5th row053-327-2005
ValueCountFrequency (%)
053-958-5400 3
 
4.8%
053-324-2522 2
 
3.2%
053-314-0006 2
 
3.2%
053-939-4567 2
 
3.2%
053-982-4470 2
 
3.2%
053-219-4470 1
 
1.6%
053-325-9988 1
 
1.6%
053-312-1003 1
 
1.6%
053-341-8033 1
 
1.6%
053-341-8034 1
 
1.6%
Other values (47) 47
74.6%
2023-12-13T00:23:13.344945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 132
17.5%
- 126
16.7%
0 114
15.1%
5 111
14.7%
1 53
7.0%
8 47
 
6.2%
2 47
 
6.2%
9 44
 
5.8%
4 39
 
5.2%
7 24
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
83.3%
Dash Punctuation 126
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 132
21.0%
0 114
18.1%
5 111
17.6%
1 53
8.4%
8 47
 
7.5%
2 47
 
7.5%
9 44
 
7.0%
4 39
 
6.2%
7 24
 
3.8%
6 19
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 132
17.5%
- 126
16.7%
0 114
15.1%
5 111
14.7%
1 53
7.0%
8 47
 
6.2%
2 47
 
6.2%
9 44
 
5.8%
4 39
 
5.2%
7 24
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 132
17.5%
- 126
16.7%
0 114
15.1%
5 111
14.7%
1 53
7.0%
8 47
 
6.2%
2 47
 
6.2%
9 44
 
5.8%
4 39
 
5.2%
7 24
 
3.2%

팩스번호
Text

Distinct55
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-13T00:23:13.624391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters756
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

Unique47 ?
Unique (%)74.6%

Sample

1st row053-952-4470
2nd row053-313-3334
3rd row053-313-1139
4th row053-326-0234
5th row053-327-2006
ValueCountFrequency (%)
053-341-8036 2
 
3.2%
053-939-2628 2
 
3.2%
053-381-0691 2
 
3.2%
053-323-9313 2
 
3.2%
053-939-4568 2
 
3.2%
053-314-0090 2
 
3.2%
053-327-2006 2
 
3.2%
053-264-0053 2
 
3.2%
053-944-1117 1
 
1.6%
053-354-9987 1
 
1.6%
Other values (45) 45
71.4%
2023-12-13T00:23:14.071812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 144
19.0%
- 126
16.7%
0 111
14.7%
5 100
13.2%
1 56
 
7.4%
9 49
 
6.5%
2 48
 
6.3%
8 38
 
5.0%
4 34
 
4.5%
6 26
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
83.3%
Dash Punctuation 126
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 144
22.9%
0 111
17.6%
5 100
15.9%
1 56
 
8.9%
9 49
 
7.8%
2 48
 
7.6%
8 38
 
6.0%
4 34
 
5.4%
6 26
 
4.1%
7 24
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 144
19.0%
- 126
16.7%
0 111
14.7%
5 100
13.2%
1 56
 
7.4%
9 49
 
6.5%
2 48
 
6.3%
8 38
 
5.0%
4 34
 
4.5%
6 26
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 144
19.0%
- 126
16.7%
0 111
14.7%
5 100
13.2%
1 56
 
7.4%
9 49
 
6.5%
2 48
 
6.3%
8 38
 
5.0%
4 34
 
4.5%
6 26
 
3.4%

설치일자
Date

Distinct48
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum1964-08-04 00:00:00
Maximum2023-02-20 00:00:00
2023-12-13T00:23:14.263631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:23:14.468019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

설치주체
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
개인
52 
법인
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row개인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 52
82.5%
법인 11
 
17.5%

Length

2023-12-13T00:23:14.649528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:23:14.773680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 52
82.5%
법인 11
 
17.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-01-31
63 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-31
2nd row2023-01-31
3rd row2023-01-31
4th row2023-01-31
5th row2023-01-31

Common Values

ValueCountFrequency (%)
2023-01-31 63
100.0%

Length

2023-12-13T00:23:14.894617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:23:15.005638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-31 63
100.0%

Interactions

2023-12-13T00:23:09.397666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:23:09.204098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:23:09.495521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:23:09.300924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:23:15.079200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명시설유형소재지도로명주소위도경도전화번호팩스번호설치일자설치주체
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.000
시설유형1.0001.0000.0000.6120.0001.0000.0000.9750.134
소재지도로명주소1.0000.0001.0001.0001.0000.9900.9990.9931.000
위도1.0000.6121.0001.0000.8561.0001.0000.9560.553
경도1.0000.0001.0000.8561.0001.0001.0000.9330.124
전화번호1.0001.0000.9901.0001.0001.0000.9990.9981.000
팩스번호1.0000.0000.9991.0001.0000.9991.0000.9991.000
설치일자1.0000.9750.9930.9560.9330.9980.9991.0000.883
설치주체1.0000.1341.0000.5530.1241.0001.0000.8831.000
2023-12-13T00:23:15.329479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치주체시설유형
설치주체1.0000.219
시설유형0.2191.000
2023-12-13T00:23:15.443244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시설유형설치주체
위도1.000-0.5150.3140.521
경도-0.5151.0000.0000.252
시설유형0.3140.0001.0000.219
설치주체0.5210.2520.2191.000

Missing values

2023-12-13T00:23:09.656496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:23:09.827394image/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

기관명시설유형소재지도로명주소위도경도전화번호팩스번호설치일자설치주체데이터기준일자
0(주)가호노인복지센터노인요양공동생활가정대구광역시 북구 동북로 263, 6층 (복현동)35.894365128.61963053-219-4470053-952-44702019-12-06법인2023-01-31
1e-편한요양센터노인요양시설대구광역시 북구 칠곡중앙대로 426 (읍내동)35.933656128.548921053-741-8899053-313-33342011-08-12개인2023-01-31
2e-햇살복지센터노인요양공동생활가정대구광역시 북구 학정로42길 22-21 (구암동)35.925493128.557984053-313-1136053-313-11392012-09-13개인2023-01-31
3가가호호노인복지센터노인요양공동생활가정대구광역시 북구 관음중앙로 167 (읍내동)35.945131128.55053053-561-2100053-326-02342017-10-01개인2023-01-31
4가람노인복지센터1노인요양공동생활가정대구광역시 북구 팔거천동로 210, 7층 (동천동)35.942697128.558449053-327-2005053-327-20062019-05-01개인2023-01-31
5가람노인복지센터2노인요양공동생활가정대구광역시 북구 팔거천동로 210, 7층 (동천동)35.942697128.558449053-314-3351053-327-20062019-05-01개인2023-01-31
6강북실버타운노인요양시설대구광역시 북구 칠곡중앙대로 525 (읍내동)35.942545128.55039053-322-8801053-326-88012014-12-23개인2023-01-31
7강북요양원노인요양시설대구광역시 북구 팔거천동로 206, 4층,5층 (동천동)35.942418128.558414053-313-0691053-321-06902019-11-28개인2023-01-31
8강산노인요양센터노인요양공동생활가정대구광역시 북구 대현로 69-1 (대현동)35.883757128.607254053-944-6301053-944-63022013-11-08개인2023-01-31
9굿모닝효요양원노인요양시설대구광역시 북구 침산남로13길 30 (침산동)35.890597128.580202053-351-0775053-637-75302022-12-01개인2023-01-31
기관명시설유형소재지도로명주소위도경도전화번호팩스번호설치일자설치주체데이터기준일자
53해뜨는요양원1노인요양공동생활가정대구광역시 북구 공항로 10-7 (복현동)35.897427128.616741053-958-5400053-939-26282014-12-31개인2023-01-31
54해뜨는요양원2노인요양공동생활가정대구광역시 북구 공항로 10-7 (복현동)35.897427128.616741053-958-5400053-939-26282014-12-31개인2023-01-31
55해뜨는요양원4노인요양공동생활가정대구광역시 북구 공항로 10-7, 5층 (복현동)35.897427128.616741053-958-5400053-955-90902015-08-28개인2023-01-31
56행복요양원노인요양시설대구광역시 북구 팔달로 191, 5층 (노원동2가)35.888622128.57106053-355-7232053-951-59012016-12-20개인2023-01-31
57행복한백세요양원노인요양시설대구광역시 북구 호암로 30 (칠성동2가)35.882364128.593897053-353-0688053-355-06892012-08-06개인2023-01-31
58호산실버타운노인요양시설대구광역시 북구 관음동로9길 22 (관음동)35.937596128.544736053-322-0100053-322-01882013-05-15개인2023-01-31
59효성실버타운노인요양시설대구광역시 북구 도남길 92-52 (도남동)35.960496128.585237053-327-0003053-327-02242009-08-12법인2023-01-31
60효신노인복지센터노인요양공동생활가정대구광역시 북구 호국로51길 5, 3층 (서변동)35.924333128.598644053-939-4567053-939-45682014-10-01개인2023-01-31
61효심노인요양센터노인요양공동생활가정대구광역시 북구 공평로 158 (칠성동1가)35.878079128.60175053-353-9592053-356-12202010-12-02개인2023-01-31
62희연실버타운노인요양시설대구광역시 북구 산격로 17 (산격동)35.892151128.604959053-359-0001053-358-00052020-03-01개인2023-01-31