Overview

Dataset statistics

Number of variables11
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory94.9 B

Variable types

Numeric2
Text4
Categorical4
DateTime1

Dataset

Description전라남도 보성군 관내 장기요양시설 관리 현황에 대한 데이터로 기관명, 지정일자, 주소, 연락처 등의 정보를 제공하고 있습니다.
Author전라남도 보성군
URLhttps://www.data.go.kr/data/3033560/fileData.do

Alerts

폐업여부 has constant value ""Constant
장기요양기관기호 is highly overall correlated with 기관종류 and 1 other fieldsHigh correlation
기관종류 is highly overall correlated with 장기요양기관기호 and 1 other fieldsHigh correlation
급여종류 is highly overall correlated with 장기요양기관기호 and 2 other fieldsHigh correlation
설립구분 is highly overall correlated with 급여종류High correlation
장기요양기관기호 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:08:20.402422
Analysis finished2023-12-12 22:08:21.424725
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장기요양기관기호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6529852 × 1010
Minimum1.4678 × 1010
Maximum3.4678 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T07:08:21.483567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4678 × 1010
5-th percentile1.4678 × 1010
Q12.4678 × 1010
median2.4678 × 1010
Q33.4678 × 1010
95-th percentile3.4678 × 1010
Maximum3.4678 × 1010
Range2 × 1010
Interquartile range (IQR)1 × 1010

Descriptive statistics

Standard deviation7.8627833 × 109
Coefficient of variation (CV)0.29637494
Kurtosis-1.2627025
Mean2.6529852 × 1010
Median Absolute Deviation (MAD)1 × 1010
Skewness-0.35048154
Sum7.16306 × 1011
Variance6.1823362 × 1019
MonotonicityNot monotonic
2023-12-13T07:08:21.609541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
14678000036 1
 
3.7%
14678000046 1
 
3.7%
34678000065 1
 
3.7%
34678000064 1
 
3.7%
24678000068 1
 
3.7%
24678000066 1
 
3.7%
34678000038 1
 
3.7%
34678000060 1
 
3.7%
34678000048 1
 
3.7%
34678000015 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
14678000011 1
3.7%
14678000014 1
3.7%
14678000036 1
3.7%
14678000044 1
3.7%
14678000046 1
3.7%
14678000061 1
3.7%
24678000008 1
3.7%
24678000020 1
3.7%
24678000025 1
3.7%
24678000041 1
3.7%
ValueCountFrequency (%)
34678000065 1
3.7%
34678000064 1
3.7%
34678000060 1
3.7%
34678000057 1
3.7%
34678000056 1
3.7%
34678000052 1
3.7%
34678000048 1
3.7%
34678000038 1
3.7%
34678000037 1
3.7%
34678000018 1
3.7%

기관명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T07:08:21.858099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.6666667
Min length5

Characters and Unicode

Total characters234
Distinct characters62
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

Unique27 ?
Unique (%)100.0%

Sample

1st row보성소망요양원
2nd row보성군행복노인전문요양원
3rd row보성엘림요양원
4th row연산효자노인홈
5th row엔젤요양원
ValueCountFrequency (%)
보성소망요양원 1
 
3.7%
우리노인복지센터 1
 
3.7%
드림노인복지센터 1
 
3.7%
효재가노인복지센터 1
 
3.7%
다향시니어재가복지센터 1
 
3.7%
보성은빛복지센터 1
 
3.7%
노인요양의료기 1
 
3.7%
보금자리노인복지센터 1
 
3.7%
참사랑노인복지센터 1
 
3.7%
평강재가노인복지센터 1
 
3.7%
Other values (17) 17
63.0%
2023-12-13T07:08:22.281189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
복 22
 
9.4%
인 21
 
9.0%
노 21
 
9.0%
터 20
 
8.5%
센 20
 
8.5%
지 20
 
8.5%
보 7
 
3.0%
양 6
 
2.6%
요 6
 
2.6%
성 6
 
2.6%
Other values (52) 85
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
복 22
 
9.4%
인 21
 
9.0%
노 21
 
9.0%
터 20
 
8.5%
센 20
 
8.5%
지 20
 
8.5%
보 7
 
3.0%
양 6
 
2.6%
요 6
 
2.6%
성 6
 
2.6%
Other values (52) 85
36.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
복 22
 
9.4%
인 21
 
9.0%
노 21
 
9.0%
터 20
 
8.5%
센 20
 
8.5%
지 20
 
8.5%
보 7
 
3.0%
양 6
 
2.6%
요 6
 
2.6%
성 6
 
2.6%
Other values (52) 85
36.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
복 22
 
9.4%
인 21
 
9.0%
노 21
 
9.0%
터 20
 
8.5%
센 20
 
8.5%
지 20
 
8.5%
보 7
 
3.0%
양 6
 
2.6%
요 6
 
2.6%
성 6
 
2.6%
Other values (52) 85
36.3%

기관종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
재가장기요양기관
11 
재가급여제공 장기요양기관
10 
시설급여제공 장기요양기관
6 

Length

Max length13
Median length13
Mean length10.962963
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시설급여제공 장기요양기관
2nd row시설급여제공 장기요양기관
3rd row시설급여제공 장기요양기관
4th row시설급여제공 장기요양기관
5th row시설급여제공 장기요양기관

Common Values

ValueCountFrequency (%)
재가장기요양기관 11
40.7%
재가급여제공 장기요양기관 10
37.0%
시설급여제공 장기요양기관 6
22.2%

Length

2023-12-13T07:08:22.450578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:08:22.564167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장기요양기관 16
37.2%
재가장기요양기관 11
25.6%
재가급여제공 10
23.3%
시설급여제공 6
 
14.0%

급여종류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
방문요양,방문목욕
8 
노인요양공동생활가정
4 
방문요양
4 
복지용구제공사업소
3 
노인요양시설(개정법)
2 
Other values (4)
6 

Length

Max length15
Median length11
Mean length8.962963
Min length4

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row노인요양공동생활가정
2nd row노인요양시설(개정법)
3rd row노인요양공동생활가정
4th row노인요양공동생활가정
5th row노인요양공동생활가정

Common Values

ValueCountFrequency (%)
방문요양,방문목욕 8
29.6%
노인요양공동생활가정 4
14.8%
방문요양 4
14.8%
복지용구제공사업소 3
 
11.1%
노인요양시설(개정법) 2
 
7.4%
방문요양,방문목욕,주야간보호 2
 
7.4%
방문요양,주야간보호 2
 
7.4%
주야간보호 1
 
3.7%
방문요양, 방문간호 1
 
3.7%

Length

2023-12-13T07:08:22.709502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:08:22.861506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문요양,방문목욕 8
28.6%
방문요양 5
17.9%
노인요양공동생활가정 4
14.3%
복지용구제공사업소 3
 
10.7%
노인요양시설(개정법 2
 
7.1%
방문요양,방문목욕,주야간보호 2
 
7.1%
방문요양,주야간보호 2
 
7.1%
주야간보호 1
 
3.6%
방문간호 1
 
3.6%

대표자명
Text

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T07:08:23.074615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.962963
Min length2

Characters and Unicode

Total characters80
Distinct characters45
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

Unique20 ?
Unique (%)74.1%

Sample

1st row박병준
2nd row최상민
3rd row이선식
4th row은광석
5th row이연미
ValueCountFrequency (%)
최상민 3
 
11.1%
은광석 2
 
7.4%
홍기숙 2
 
7.4%
박진수 1
 
3.7%
박병준 1
 
3.7%
정은주 1
 
3.7%
박미라 1
 
3.7%
유창민 1
 
3.7%
이종승 1
 
3.7%
최우람 1
 
3.7%
Other values (13) 13
48.1%
2023-12-13T07:08:23.425713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
민 6
 
7.5%
최 4
 
5.0%
이 4
 
5.0%
정 4
 
5.0%
박 3
 
3.8%
숙 3
 
3.8%
은 3
 
3.8%
상 3
 
3.8%
수 3
 
3.8%
미 2
 
2.5%
Other values (35) 45
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
민 6
 
7.5%
최 4
 
5.0%
이 4
 
5.0%
정 4
 
5.0%
박 3
 
3.8%
숙 3
 
3.8%
은 3
 
3.8%
상 3
 
3.8%
수 3
 
3.8%
미 2
 
2.5%
Other values (35) 45
56.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
민 6
 
7.5%
최 4
 
5.0%
이 4
 
5.0%
정 4
 
5.0%
박 3
 
3.8%
숙 3
 
3.8%
은 3
 
3.8%
상 3
 
3.8%
수 3
 
3.8%
미 2
 
2.5%
Other values (35) 45
56.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
민 6
 
7.5%
최 4
 
5.0%
이 4
 
5.0%
정 4
 
5.0%
박 3
 
3.8%
숙 3
 
3.8%
은 3
 
3.8%
상 3
 
3.8%
수 3
 
3.8%
미 2
 
2.5%
Other values (35) 45
56.2%

설립구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
개인
20 
지방자치단체
4 
법인
3 

Length

Max length6
Median length2
Mean length2.5925926
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 20
74.1%
지방자치단체 4
 
14.8%
법인 3
 
11.1%

Length

2023-12-13T07:08:23.586881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:08:23.733735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 20
74.1%
지방자치단체 4
 
14.8%
법인 3
 
11.1%

지정일자
Date

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2008-07-16 00:00:00
Maximum2020-06-19 00:00:00
2023-12-13T07:08:23.837478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:08:23.986333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

우편번호
Real number (ℝ)

Distinct19
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59432.074
Minimum59400
Maximum59471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T07:08:24.156822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59400
5-th percentile59406
Q159415.5
median59425
Q359453
95-th percentile59458
Maximum59471
Range71
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation20.788173
Coefficient of variation (CV)0.00034978038
Kurtosis-1.3363816
Mean59432.074
Median Absolute Deviation (MAD)19
Skewness0.22083914
Sum1604666
Variance432.14815
MonotonicityNot monotonic
2023-12-13T07:08:24.296413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
59458 4
14.8%
59406 3
 
11.1%
59418 2
 
7.4%
59415 2
 
7.4%
59423 2
 
7.4%
59449 1
 
3.7%
59454 1
 
3.7%
59400 1
 
3.7%
59431 1
 
3.7%
59425 1
 
3.7%
Other values (9) 9
33.3%
ValueCountFrequency (%)
59400 1
 
3.7%
59406 3
11.1%
59411 1
 
3.7%
59415 2
7.4%
59416 1
 
3.7%
59418 2
7.4%
59420 1
 
3.7%
59423 2
7.4%
59425 1
 
3.7%
59431 1
 
3.7%
ValueCountFrequency (%)
59471 1
 
3.7%
59458 4
14.8%
59455 1
 
3.7%
59454 1
 
3.7%
59452 1
 
3.7%
59449 1
 
3.7%
59445 1
 
3.7%
59439 1
 
3.7%
59436 1
 
3.7%
59431 1
 
3.7%

기관주소
Text

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T07:08:24.537505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length20.851852
Min length18

Characters and Unicode

Total characters563
Distinct characters76
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

Unique23 ?
Unique (%)85.2%

Sample

1st row전라남도 보성군 웅치면 유산길 356
2nd row전라남도 보성군 복내면 송재로 1167
3rd row전라남도 보성군 노동면 평동로 1059-25
4th row전라남도 보성군 벌교읍 금산길 107
5th row전라남도 보성군 벌교읍 벌교중흥길 133
ValueCountFrequency (%)
전라남도 27
19.9%
보성군 27
19.9%
벌교읍 10
 
7.4%
보성읍 7
 
5.1%
현충로 3
 
2.2%
송재로 3
 
2.2%
복내면 3
 
2.2%
107 2
 
1.5%
금산길 2
 
1.5%
1 2
 
1.5%
Other values (47) 50
36.8%
2023-12-13T07:08:24.929544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
19.4%
보 35
 
6.2%
성 35
 
6.2%
전 28
 
5.0%
남 28
 
5.0%
도 27
 
4.8%
군 27
 
4.8%
라 27
 
4.8%
1 23
 
4.1%
읍 17
 
3.0%
Other values (66) 207
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
64.7%
Space Separator 109
 
19.4%
Decimal Number 81
 
14.4%
Dash Punctuation 8
 
1.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 35
 
9.6%
성 35
 
9.6%
전 28
 
7.7%
남 28
 
7.7%
도 27
 
7.4%
군 27
 
7.4%
라 27
 
7.4%
읍 17
 
4.7%
길 17
 
4.7%
벌 12
 
3.3%
Other values (53) 111
30.5%
Decimal Number
ValueCountFrequency (%)
1 23
28.4%
5 13
16.0%
2 10
12.3%
7 6
 
7.4%
9 6
 
7.4%
4 6
 
7.4%
3 5
 
6.2%
6 5
 
6.2%
0 4
 
4.9%
8 3
 
3.7%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
64.7%
Common 199
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 35
 
9.6%
성 35
 
9.6%
전 28
 
7.7%
남 28
 
7.7%
도 27
 
7.4%
군 27
 
7.4%
라 27
 
7.4%
읍 17
 
4.7%
길 17
 
4.7%
벌 12
 
3.3%
Other values (53) 111
30.5%
Common
ValueCountFrequency (%)
109
54.8%
1 23
 
11.6%
5 13
 
6.5%
2 10
 
5.0%
- 8
 
4.0%
7 6
 
3.0%
9 6
 
3.0%
4 6
 
3.0%
3 5
 
2.5%
6 5
 
2.5%
Other values (3) 8
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
64.7%
ASCII 199
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
54.8%
1 23
 
11.6%
5 13
 
6.5%
2 10
 
5.0%
- 8
 
4.0%
7 6
 
3.0%
9 6
 
3.0%
4 6
 
3.0%
3 5
 
2.5%
6 5
 
2.5%
Other values (3) 8
 
4.0%
Hangul
ValueCountFrequency (%)
보 35
 
9.6%
성 35
 
9.6%
전 28
 
7.7%
남 28
 
7.7%
도 27
 
7.4%
군 27
 
7.4%
라 27
 
7.4%
읍 17
 
4.7%
길 17
 
4.7%
벌 12
 
3.3%
Other values (53) 111
30.5%

기관전화번호
Text

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T07:08:25.172479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique23 ?
Unique (%)85.2%

Sample

1st row061-852-5488
2nd row061-853-3300
3rd row061-853-3675
4th row061-858-5117
5th row061-858-9700
ValueCountFrequency (%)
061-858-5117 2
 
7.4%
061-853-3300 2
 
7.4%
061-852-5700 1
 
3.7%
061-852-5488 1
 
3.7%
061-852-1691 1
 
3.7%
061-853-1864 1
 
3.7%
061-852-9997 1
 
3.7%
061-852-0555 1
 
3.7%
061-858-3328 1
 
3.7%
061-857-7789 1
 
3.7%
Other values (15) 15
55.6%
2023-12-13T07:08:25.537672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.7%
5 47
14.5%
8 44
13.6%
0 43
13.3%
1 42
13.0%
6 31
9.6%
3 25
7.7%
2 11
 
3.4%
7 10
 
3.1%
9 9
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 47
17.4%
8 44
16.3%
0 43
15.9%
1 42
15.6%
6 31
11.5%
3 25
9.3%
2 11
 
4.1%
7 10
 
3.7%
9 9
 
3.3%
4 8
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
16.7%
5 47
14.5%
8 44
13.6%
0 43
13.3%
1 42
13.0%
6 31
9.6%
3 25
7.7%
2 11
 
3.4%
7 10
 
3.1%
9 9
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
16.7%
5 47
14.5%
8 44
13.6%
0 43
13.3%
1 42
13.0%
6 31
9.6%
3 25
7.7%
2 11
 
3.4%
7 10
 
3.1%
9 9
 
2.8%

폐업여부
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
운영
27 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영
2nd row운영
3rd row운영
4th row운영
5th row운영

Common Values

ValueCountFrequency (%)
운영 27
100.0%

Length

2023-12-13T07:08:25.669377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:08:25.757741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 27
100.0%

Interactions

2023-12-13T07:08:20.953991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:08:20.780024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:08:21.062612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:08:20.870060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:08:25.831816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장기요양기관기호기관명기관종류급여종류대표자명설립구분지정일자우편번호기관주소기관전화번호
장기요양기관기호1.0001.0001.0000.8060.0000.3220.7520.5500.7520.752
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
기관종류1.0001.0001.0000.9850.0000.5650.5230.5910.0000.000
급여종류0.8061.0000.9851.0000.0000.8660.7480.4360.0000.000
대표자명0.0001.0000.0000.0001.0000.0001.0000.9441.0001.000
설립구분0.3221.0000.5650.8660.0001.0001.0000.0001.0001.000
지정일자0.7521.0000.5230.7481.0001.0001.0001.0001.0001.000
우편번호0.5501.0000.5910.4360.9440.0001.0001.0001.0001.000
기관주소0.7521.0000.0000.0001.0001.0001.0001.0001.0001.000
기관전화번호0.7521.0000.0000.0001.0001.0001.0001.0001.0001.000
2023-12-13T07:08:26.005084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관종류급여종류설립구분
기관종류1.0000.7370.240
급여종류0.7371.0000.500
설립구분0.2400.5001.000
2023-12-13T07:08:26.105422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장기요양기관기호우편번호기관종류급여종류설립구분
장기요양기관기호1.0000.0730.9790.5920.232
우편번호0.0731.0000.2960.0730.000
기관종류0.9790.2961.0000.7370.240
급여종류0.5920.0730.7371.0000.500
설립구분0.2320.0000.2400.5001.000

Missing values

2023-12-13T07:08:21.195765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:08:21.360358image/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

장기요양기관기호기관명기관종류급여종류대표자명설립구분지정일자우편번호기관주소기관전화번호폐업여부
014678000036보성소망요양원시설급여제공 장기요양기관노인요양공동생활가정박병준개인2011-11-0159449전라남도 보성군 웅치면 유산길 356061-852-5488운영
114678000046보성군행복노인전문요양원시설급여제공 장기요양기관노인요양시설(개정법)최상민지방자치단체2015-01-0159406전라남도 보성군 복내면 송재로 1167061-853-3300운영
214678000061보성엘림요양원시설급여제공 장기요양기관노인요양공동생활가정이선식개인2018-08-2359445전라남도 보성군 노동면 평동로 1059-25061-853-3675운영
314678000011연산효자노인홈시설급여제공 장기요양기관노인요양공동생활가정은광석법인2008-07-2959418전라남도 보성군 벌교읍 금산길 107061-858-5117운영
414678000044엔젤요양원시설급여제공 장기요양기관노인요양공동생활가정이연미개인2014-06-1259415전라남도 보성군 벌교읍 벌교중흥길 133061-858-9700운영
514678000014보성군립노인요양원밝은동산시설급여제공 장기요양기관노인요양시설(개정법)홍기숙지방자치단체2008-08-1459420전라남도 보성군 벌교읍 남하로 599-9061-858-3500운영
624678000020대건노인복지센터재가급여제공 장기요양기관방문요양,방문목욕정종철개인2008-12-1559458전라남도 보성군 보성읍 현충로 88-1061-852-3939운영
724678000008엘림노인복지센터재가급여제공 장기요양기관방문요양,방문목욕김정희개인2008-07-1659458전라남도 보성군 보성읍 현충로 42-5061-852-0595운영
824678000045행복노인복지센터재가급여제공 장기요양기관방문요양,방문목욕,주야간보호최상민지방자치단체2015-01-0159406전라남도 보성군 복내면 송재로 1167061-853-3300운영
924678000041예당소망노인복지센터재가급여제공 장기요양기관방문요양,방문목욕유경숙개인2013-01-2459436전라남도 보성군 득량면 예당역전길 14061-853-3445운영
장기요양기관기호기관명기관종류급여종류대표자명설립구분지정일자우편번호기관주소기관전화번호폐업여부
1734678000037효드림노인복지센터재가장기요양기관방문요양,방문목욕정은주개인2012-02-1059454전라남도 보성군 보성읍 현충로 116061-852-5700운영
1834678000052평강재가노인복지센터재가장기요양기관방문요양박진수개인2017-05-3159471전라남도 보성군 회천면 우암길 149061-852-8181운영
1934678000015참사랑노인복지센터재가장기요양기관방문요양,방문목욕오수록개인2008-09-0859423전라남도 보성군 벌교읍 고정길 5061-858-3342운영
2034678000048보금자리노인복지센터재가장기요양기관방문요양조민근개인2015-05-2059411전라남도 보성군 겸백면 충의로 2455061-853-6052운영
2134678000060노인요양의료기재가장기요양기관복지용구제공사업소이영진개인2018-06-1159425전라남도 보성군 벌교읍 채동선로 219-2, 1층061-857-7789운영
2234678000038보성은빛복지센터재가장기요양기관방문요양,방문목욕,주야간보호최우람개인2012-07-0959431전라남도 보성군 벌교읍 분토길 32061-858-3328운영
2324678000066다향시니어재가복지센터재가급여제공 장기요양기관방문요양,방문목욕이종승개인2020-04-2759458전라남도 보성군 보성읍 새싹길 7061-852-0555운영
2424678000068효재가노인복지센터재가급여제공 장기요양기관방문요양,방문목욕유창민개인2020-06-1959406전라남도 보성군 복내면 송재로 1832061-852-9997운영
2534678000064드림노인복지센터재가장기요양기관방문요양박미라개인2019-11-2159400전라남도 보성군 문덕면 고인돌길 41-14061-853-1864운영
2634678000065미소재가노인복지센터재가장기요양기관방문요양, 방문간호지초하개인2019-11-2559458전라남도 보성군 보성읍 보성봉산길 55-1061-853-3830운영