Overview

Dataset statistics

Number of variables10
Number of observations177
Missing cells61
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory82.7 B

Variable types

Numeric2
Text3
Categorical4
DateTime1

Dataset

Description인천광역시 서구 노인복지시설 현황(시설명, 시설유형, 시설종류, 소재지, 입소정원, 시설운영, 설치일자, 전화번호)입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15055116&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
시설종류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
시설유형 is highly overall correlated with 시설종류High correlation
연번 is highly overall correlated with 시설종류High correlation
입소정원 has 59 (33.3%) missing valuesMissing
전화번호 has 2 (1.1%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:59:16.281469
Analysis finished2024-01-28 08:59:17.325660
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89
Minimum1
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-28T17:59:17.399887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.8
Q145
median89
Q3133
95-th percentile168.2
Maximum177
Range176
Interquartile range (IQR)88

Descriptive statistics

Standard deviation51.239633
Coefficient of variation (CV)0.57572621
Kurtosis-1.2
Mean89
Median Absolute Deviation (MAD)44
Skewness0
Sum15753
Variance2625.5
MonotonicityStrictly increasing
2024-01-28T17:59:17.526858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
134 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
Other values (167) 167
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%

시설명
Text

UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-28T17:59:17.768964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length8.3898305
Min length3

Characters and Unicode

Total characters1485
Distinct characters215
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)100.0%

Sample

1st row온정의집
2nd row예향원
3rd row마리스텔라
4th row청라백세마을
5th row가나요양원
ValueCountFrequency (%)
요양원 5
 
2.4%
노인복지센터 4
 
1.9%
주간보호센터 3
 
1.4%
데이케어센터 2
 
1.0%
재가센터 2
 
1.0%
부설 2
 
1.0%
복지센터 2
 
1.0%
온정의집 1
 
0.5%
서인천 1
 
0.5%
성광재가노인지원서비스센터 1
 
0.5%
Other values (185) 185
88.9%
2024-01-28T17:59:18.060529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 90
 
6.1%
터 88
 
5.9%
센 88
 
5.9%
요 87
 
5.9%
양 87
 
5.9%
복 64
 
4.3%
지 63
 
4.2%
인 58
 
3.9%
가 53
 
3.6%
노 47
 
3.2%
Other values (205) 760
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1443
97.2%
Space Separator 31
 
2.1%
Decimal Number 3
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 90
 
6.2%
터 88
 
6.1%
센 88
 
6.1%
요 87
 
6.0%
양 87
 
6.0%
복 64
 
4.4%
지 63
 
4.4%
인 58
 
4.0%
가 53
 
3.7%
노 47
 
3.3%
Other values (196) 718
49.8%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
5 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1444
97.2%
Common 39
 
2.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 90
 
6.2%
터 88
 
6.1%
센 88
 
6.1%
요 87
 
6.0%
양 87
 
6.0%
복 64
 
4.4%
지 63
 
4.4%
인 58
 
4.0%
가 53
 
3.7%
노 47
 
3.3%
Other values (197) 719
49.8%
Common
ValueCountFrequency (%)
31
79.5%
( 2
 
5.1%
) 2
 
5.1%
' 1
 
2.6%
3 1
 
2.6%
5 1
 
2.6%
1 1
 
2.6%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1443
97.2%
ASCII 41
 
2.8%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 90
 
6.2%
터 88
 
6.1%
센 88
 
6.1%
요 87
 
6.0%
양 87
 
6.0%
복 64
 
4.4%
지 63
 
4.4%
인 58
 
4.0%
가 53
 
3.7%
노 47
 
3.3%
Other values (196) 718
49.8%
ASCII
ValueCountFrequency (%)
31
75.6%
( 2
 
4.9%
) 2
 
4.9%
A 2
 
4.9%
' 1
 
2.4%
3 1
 
2.4%
5 1
 
2.4%
1 1
 
2.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

시설종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
재가노인복지시설
90 
노인의료복지시설
83 
노인주거복지시설
 
4

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재가노인복지시설 90
50.8%
노인의료복지시설 83
46.9%
노인주거복지시설 4
 
2.3%

Length

2024-01-28T17:59:18.176105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:59:18.274802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 90
50.8%
노인의료복지시설 83
46.9%
노인주거복지시설 4
 
2.3%

시설유형
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
재가노인복지시설
90 
노인요양시설
76 
노인요양공동생활가정
 
7
노인양로시설
 
2
노인공동생활가정
 
1

Length

Max length10
Median length8
Mean length7.1864407
Min length6

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row노인공동생활가정
2nd row노인양로시설
3rd row노인복지주택
4th row노인양로시설
5th row노인요양시설

Common Values

ValueCountFrequency (%)
재가노인복지시설 90
50.8%
노인요양시설 76
42.9%
노인요양공동생활가정 7
 
4.0%
노인양로시설 2
 
1.1%
노인공동생활가정 1
 
0.6%
노인복지주택 1
 
0.6%

Length

2024-01-28T17:59:18.402612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:59:18.513857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지시설 90
50.8%
노인요양시설 76
42.9%
노인요양공동생활가정 7
 
4.0%
노인양로시설 2
 
1.1%
노인공동생활가정 1
 
0.6%
노인복지주택 1
 
0.6%

소재지
Text

Distinct175
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-28T17:59:18.720088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length32.361582
Min length22

Characters and Unicode

Total characters5728
Distinct characters181
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)97.7%

Sample

1st row인천광역시 서구 봉화로69번길 23 (오류동)
2nd row인천광역시 서구 세자봉로76번길 11 (금곡동)
3rd row인천광역시 서구 심곡로 100번길 31 (심곡동)
4th row인천광역시 서구 로봇랜드로249번길 14 (청라동)
5th row인천광역시 서구 연희로42번길 14, 2~4층 (연희동)
ValueCountFrequency (%)
인천광역시 177
 
15.5%
서구 177
 
15.5%
마전동 25
 
2.2%
석남동 24
 
2.1%
심곡동 22
 
1.9%
가좌동 20
 
1.8%
2층 18
 
1.6%
3층 16
 
1.4%
당하동 13
 
1.1%
완정로 12
 
1.1%
Other values (366) 635
55.8%
2024-01-28T17:59:19.062161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
962
 
16.8%
, 235
 
4.1%
동 194
 
3.4%
1 194
 
3.4%
서 192
 
3.4%
인 183
 
3.2%
로 182
 
3.2%
천 180
 
3.1%
시 179
 
3.1%
광 178
 
3.1%
Other values (171) 3049
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3139
54.8%
Decimal Number 984
 
17.2%
Space Separator 962
 
16.8%
Other Punctuation 235
 
4.1%
Close Punctuation 177
 
3.1%
Open Punctuation 177
 
3.1%
Dash Punctuation 25
 
0.4%
Math Symbol 17
 
0.3%
Uppercase Letter 10
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 194
 
6.2%
서 192
 
6.1%
인 183
 
5.8%
로 182
 
5.8%
천 180
 
5.7%
시 179
 
5.7%
광 178
 
5.7%
구 178
 
5.7%
역 177
 
5.6%
층 102
 
3.2%
Other values (148) 1394
44.4%
Decimal Number
ValueCountFrequency (%)
1 194
19.7%
2 160
16.3%
0 128
13.0%
3 109
11.1%
4 91
9.2%
5 82
8.3%
8 68
 
6.9%
7 54
 
5.5%
6 52
 
5.3%
9 46
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
40.0%
A 2
20.0%
M 1
 
10.0%
K 1
 
10.0%
D 1
 
10.0%
S 1
 
10.0%
Space Separator
ValueCountFrequency (%)
962
100.0%
Other Punctuation
ValueCountFrequency (%)
, 235
100.0%
Close Punctuation
ValueCountFrequency (%)
) 177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3139
54.8%
Common 2577
45.0%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 194
 
6.2%
서 192
 
6.1%
인 183
 
5.8%
로 182
 
5.8%
천 180
 
5.7%
시 179
 
5.7%
광 178
 
5.7%
구 178
 
5.7%
역 177
 
5.6%
층 102
 
3.2%
Other values (148) 1394
44.4%
Common
ValueCountFrequency (%)
962
37.3%
, 235
 
9.1%
1 194
 
7.5%
) 177
 
6.9%
( 177
 
6.9%
2 160
 
6.2%
0 128
 
5.0%
3 109
 
4.2%
4 91
 
3.5%
5 82
 
3.2%
Other values (6) 262
 
10.2%
Latin
ValueCountFrequency (%)
B 4
33.3%
s 2
16.7%
A 2
16.7%
M 1
 
8.3%
K 1
 
8.3%
D 1
 
8.3%
S 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3139
54.8%
ASCII 2589
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
962
37.2%
, 235
 
9.1%
1 194
 
7.5%
) 177
 
6.8%
( 177
 
6.8%
2 160
 
6.2%
0 128
 
4.9%
3 109
 
4.2%
4 91
 
3.5%
5 82
 
3.2%
Other values (13) 274
 
10.6%
Hangul
ValueCountFrequency (%)
동 194
 
6.2%
서 192
 
6.1%
인 183
 
5.8%
로 182
 
5.8%
천 180
 
5.7%
시 179
 
5.7%
광 178
 
5.7%
구 178
 
5.7%
역 177
 
5.6%
층 102
 
3.2%
Other values (148) 1394
44.4%

입소정원
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)34.7%
Missing59
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean38.415254
Minimum9
Maximum264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-28T17:59:19.200272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q125
median29
Q347
95-th percentile78.3
Maximum264
Range255
Interquartile range (IQR)22

Descriptive statistics

Standard deviation33.87769
Coefficient of variation (CV)0.88188119
Kurtosis26.234865
Mean38.415254
Median Absolute Deviation (MAD)8.5
Skewness4.4883012
Sum4533
Variance1147.6979
MonotonicityNot monotonic
2024-01-28T17:59:19.337767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
29 26
14.7%
9 12
 
6.8%
24 8
 
4.5%
49 6
 
3.4%
28 6
 
3.4%
27 5
 
2.8%
48 4
 
2.3%
26 4
 
2.3%
45 3
 
1.7%
63 3
 
1.7%
Other values (31) 41
23.2%
(Missing) 59
33.3%
ValueCountFrequency (%)
9 12
6.8%
12 1
 
0.6%
15 1
 
0.6%
16 1
 
0.6%
17 2
 
1.1%
18 1
 
0.6%
20 1
 
0.6%
21 1
 
0.6%
22 1
 
0.6%
24 8
4.5%
ValueCountFrequency (%)
264 1
0.6%
240 1
0.6%
100 1
0.6%
90 1
0.6%
82 1
0.6%
80 1
0.6%
78 2
1.1%
75 1
0.6%
71 1
0.6%
65 2
1.1%

시설운영
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
개인
156 
법인
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 156
88.1%
법인 21
 
11.9%

Length

2024-01-28T17:59:19.449786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:59:19.544068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 156
88.1%
법인 21
 
11.9%

설치일자
Date

Distinct97
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1997-12-09 00:00:00
Maximum2022-07-01 00:00:00
2024-01-28T17:59:19.646509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:19.760136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct161
Distinct (%)92.0%
Missing2
Missing (%)1.1%
Memory size1.5 KiB
2024-01-28T17:59:19.990819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.028571
Min length12

Characters and Unicode

Total characters2105
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

Unique149 ?
Unique (%)85.1%

Sample

1st row032-572-7800
2nd row032-567-5615
3rd row032-280-1500
4th row032-584-0245
5th row032-566-8877
ValueCountFrequency (%)
032-563-3388 3
 
1.7%
033-243-1766 3
 
1.7%
032-582-2223 2
 
1.1%
032-565-3129 2
 
1.1%
032-715-5200 2
 
1.1%
032-563-9988 2
 
1.1%
032-579-3310 2
 
1.1%
032-566-8877 2
 
1.1%
032-577-6000 2
 
1.1%
032-0000-0000 2
 
1.1%
Other values (151) 153
87.4%
2024-01-28T17:59:20.311108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 350
16.6%
0 314
14.9%
3 287
13.6%
2 275
13.1%
5 230
10.9%
6 169
8.0%
7 144
6.8%
1 100
 
4.8%
8 95
 
4.5%
9 85
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1755
83.4%
Dash Punctuation 350
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 314
17.9%
3 287
16.4%
2 275
15.7%
5 230
13.1%
6 169
9.6%
7 144
8.2%
1 100
 
5.7%
8 95
 
5.4%
9 85
 
4.8%
4 56
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 350
16.6%
0 314
14.9%
3 287
13.6%
2 275
13.1%
5 230
10.9%
6 169
8.0%
7 144
6.8%
1 100
 
4.8%
8 95
 
4.5%
9 85
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 350
16.6%
0 314
14.9%
3 287
13.6%
2 275
13.1%
5 230
10.9%
6 169
8.0%
7 144
6.8%
1 100
 
4.8%
8 95
 
4.5%
9 85
 
4.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2022-08-01
177 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-01
2nd row2022-08-01
3rd row2022-08-01
4th row2022-08-01
5th row2022-08-01

Common Values

ValueCountFrequency (%)
2022-08-01 177
100.0%

Length

2024-01-28T17:59:20.428052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:59:20.501645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-01 177
100.0%

Interactions

2024-01-28T17:59:16.898991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:16.735274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:16.976018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:16.823700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:59:20.552111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설종류시설유형입소정원시설운영설치일자
연번1.0000.8370.7260.0000.1430.810
시설종류0.8371.0001.0000.2740.1700.871
시설유형0.7261.0001.0000.4560.3930.913
입소정원0.0000.2740.4561.0000.4120.949
시설운영0.1430.1700.3930.4121.0000.890
설치일자0.8100.8710.9130.9490.8901.000
2024-01-28T17:59:20.632184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설운영시설종류시설유형
시설운영1.0000.2790.279
시설종류0.2791.0000.991
시설유형0.2790.9911.000
2024-01-28T17:59:20.714017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번입소정원시설종류시설유형시설운영
연번1.000-0.0860.7260.4820.107
입소정원-0.0861.0000.2120.3290.494
시설종류0.7260.2121.0000.9910.279
시설유형0.4820.3290.9911.0000.279
시설운영0.1070.4940.2790.2791.000

Missing values

2024-01-28T17:59:17.083281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:59:17.199174image/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.
2024-01-28T17:59:17.286528image/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

연번시설명시설종류시설유형소재지입소정원시설운영설치일자전화번호데이터기준일자
01온정의집노인주거복지시설노인공동생활가정인천광역시 서구 봉화로69번길 23 (오류동)9법인2005-07-19032-572-78002022-08-01
12예향원노인주거복지시설노인양로시설인천광역시 서구 세자봉로76번길 11 (금곡동)18개인2005-08-17032-567-56152022-08-01
23마리스텔라노인주거복지시설노인복지주택인천광역시 서구 심곡로 100번길 31 (심곡동)264법인2015-01-20032-280-15002022-08-01
34청라백세마을노인주거복지시설노인양로시설인천광역시 서구 로봇랜드로249번길 14 (청라동)64법인1997-12-09032-584-02452022-08-01
45가나요양원노인의료복지시설노인요양시설인천광역시 서구 연희로42번길 14, 2~4층 (연희동)29개인2020-12-01032-566-88772022-08-01
56가족사랑요양원노인의료복지시설노인요양시설인천광역시 서구 신석로112번길 24 (석남동)24개인2021-04-01032-577-04502022-08-01
67가현요양원노인의료복지시설노인요양시설인천광역시 서구 완정로 19, 7층 (마전동, 검단무광프라자)25개인2018-05-01032-565-55672022-08-01
78간호사랑요양원노인의료복지시설노인요양시설인천광역시 서구 탁옥로 37, 7~9층 (심곡동, 우리타워)47개인2020-12-01032-525-28382022-08-01
89검단메디컬요양원노인의료복지시설노인요양시설인천광역시 서구 완정로 179, 7층 (왕길동, 제이원검단메디컬프라자)29개인2020-09-01032-568-99922022-08-01
910검단진노인요양시설노인의료복지시설노인요양시설인천광역시 서구 마전로115번길 2-6, 지하1층2~4층 (마전동)29개인2022-01-01032-563-52002022-08-01
연번시설명시설종류시설유형소재지입소정원시설운영설치일자전화번호데이터기준일자
167168다온재가복지센터재가노인복지시설재가노인복지시설인천광역시 서구 가정로 136, AB동 108호 (가좌동, 삼영아파트)<NA>개인2021-11-01032-573-79952022-08-01
168169미소인방문요양센터재가노인복지시설재가노인복지시설인천광역시 서구 서달로 14-7, 1층 (석남동)<NA>개인2022-04-01032-575-50072022-08-01
169170마음모아노인재가복지센터재가노인복지시설재가노인복지시설인천광역시 서구 원적로95번길 15, 2층 (가좌동)<NA>개인2022-04-01032-584-82162022-08-01
170171서구재활주간보호센터재가노인복지시설재가노인복지시설인천광역시 서구 탁옥로 104, 2층 (심곡동, 다빈치프라자)<NA>개인2022-07-01032-563-99882022-08-01
171172아름드리주간보호센터재가노인복지시설재가노인복지시설인천광역시 서구 승학로 246, 2층 (심곡동)<NA>개인2022-07-01032-710-70772022-08-01
172173이아소방문간호센터재가노인복지시설재가노인복지시설인천광역시 서구 청라한내로72번길 7-25, 901호 (청라동)<NA>개인2022-07-01032-566-63682022-08-01
173174한가람노인복지센터재가노인복지시설재가노인복지시설인천광역시 서구 완정로 198, 5층 (마전동, 노른자빌딩)<NA>개인2022-06-01032-566-77082022-08-01
174175상원재가복지센터재가노인복지시설재가노인복지시설인천광역시 서구 율도로 98, 304호 (석남동)<NA>개인2022-07-01032-578-33482022-08-01
175176검단불로재가복지센터재가노인복지시설재가노인복지시설인천광역시 서구 검단로623번길 7, 502호 (마전동)<NA>개인2022-07-01032-567-87282022-08-01
176177가나주야간보호센터재가노인복지시설재가노인복지시설인천광역시 서구 연희로42번길 14, 3층 (연희동)<NA>개인2022-05-01032-566-88772022-08-01