Overview

Dataset statistics

Number of variables10
Number of observations47
Missing cells39
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory84.8 B

Variable types

Numeric2
Categorical3
Text4
DateTime1

Dataset

Description통영시 관내 노인복지시설에 대하여 시설의 종류,시설명,전화번호,종사자수,운영주체,운영주체명,관리기관명,소재지도로명주소,소재지지번주소,데이터기준일자 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15062439/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 시설의 종류High correlation
시설의 종류 is highly overall correlated with 연번High correlation
운영주체명 has 39 (83.0%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique
종사자수 has 1 (2.1%) zerosZeros

Reproduction

Analysis started2023-12-12 01:03:59.250542
Analysis finished2023-12-12 01:04:00.547071
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T10:04:00.625852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median24
Q335.5
95-th percentile44.7
Maximum47
Range46
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.711309
Coefficient of variation (CV)0.57130455
Kurtosis-1.2
Mean24
Median Absolute Deviation (MAD)12
Skewness0
Sum1128
Variance188
MonotonicityStrictly increasing
2023-12-12T10:04:00.809152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%
38 1
2.1%

시설의 종류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
재가급여제공 장기요양기관
21 
재가장기요양기관
15 
노인의료복지시설
8 
노인주거복지시설
3 

Length

Max length13
Median length8
Mean length10.234043
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재가급여제공 장기요양기관 21
44.7%
재가장기요양기관 15
31.9%
노인의료복지시설 8
 
17.0%
노인주거복지시설 3
 
6.4%

Length

2023-12-12T10:04:00.974796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:04:01.105725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가급여제공 21
30.9%
장기요양기관 21
30.9%
재가장기요양기관 15
22.1%
노인의료복지시설 8
 
11.8%
노인주거복지시설 3
 
4.4%

시설명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T10:04:01.386567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length9.7021277
Min length5

Characters and Unicode

Total characters456
Distinct characters101
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row가경노인요양원
2nd row대건노인요양원
3rd row만월노인요양원
4th row통영 보금자리 요양원
5th row통영요양원 더진시니어타운
ValueCountFrequency (%)
통영 2
 
3.6%
보금자리 2
 
3.6%
가경노인요양원 1
 
1.8%
통영노인통합지원센터 1
 
1.8%
동행복지재가센터 1
 
1.8%
통영동백재가노인복지센터 1
 
1.8%
통영사랑 1
 
1.8%
주야간보호센터 1
 
1.8%
북신재가센터 1
 
1.8%
통영해송노인복지센터 1
 
1.8%
Other values (44) 44
78.6%
2023-12-12T10:04:01.928382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 34
 
7.5%
터 33
 
7.2%
노 26
 
5.7%
인 26
 
5.7%
가 24
 
5.3%
재 21
 
4.6%
복 21
 
4.6%
지 21
 
4.6%
통 15
 
3.3%
양 15
 
3.3%
Other values (91) 220
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 447
98.0%
Space Separator 9
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 34
 
7.6%
터 33
 
7.4%
노 26
 
5.8%
인 26
 
5.8%
가 24
 
5.4%
재 21
 
4.7%
복 21
 
4.7%
지 21
 
4.7%
통 15
 
3.4%
양 15
 
3.4%
Other values (90) 211
47.2%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 447
98.0%
Common 9
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 34
 
7.6%
터 33
 
7.4%
노 26
 
5.8%
인 26
 
5.8%
가 24
 
5.4%
재 21
 
4.7%
복 21
 
4.7%
지 21
 
4.7%
통 15
 
3.4%
양 15
 
3.4%
Other values (90) 211
47.2%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 447
98.0%
ASCII 9
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 34
 
7.6%
터 33
 
7.4%
노 26
 
5.8%
인 26
 
5.8%
가 24
 
5.4%
재 21
 
4.7%
복 21
 
4.7%
지 21
 
4.7%
통 15
 
3.4%
양 15
 
3.4%
Other values (90) 211
47.2%
ASCII
ValueCountFrequency (%)
9
100.0%

전화번호
Text

Distinct45
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T10:04:02.262903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters564
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

Unique43 ?
Unique (%)91.5%

Sample

1st row055-645-3873
2nd row055-644-8133
3rd row055-648-1186
4th row055-645-7974
5th row055-649-7040
ValueCountFrequency (%)
055-644-8133 2
 
4.3%
055-645-7974 2
 
4.3%
055-649-4232 1
 
2.1%
055-645-7988 1
 
2.1%
055-644-6338 1
 
2.1%
055-646-1239 1
 
2.1%
055-645-1926 1
 
2.1%
055-643-3456 1
 
2.1%
055-646-7226 1
 
2.1%
055-643-9136 1
 
2.1%
Other values (35) 35
74.5%
2023-12-12T10:04:02.632260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 120
21.3%
- 94
16.7%
0 75
13.3%
4 68
12.1%
6 67
11.9%
3 30
 
5.3%
8 27
 
4.8%
1 26
 
4.6%
9 25
 
4.4%
2 17
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 470
83.3%
Dash Punctuation 94
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 120
25.5%
0 75
16.0%
4 68
14.5%
6 67
14.3%
3 30
 
6.4%
8 27
 
5.7%
1 26
 
5.5%
9 25
 
5.3%
2 17
 
3.6%
7 15
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 120
21.3%
- 94
16.7%
0 75
13.3%
4 68
12.1%
6 67
11.9%
3 30
 
5.3%
8 27
 
4.8%
1 26
 
4.6%
9 25
 
4.4%
2 17
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 120
21.3%
- 94
16.7%
0 75
13.3%
4 68
12.1%
6 67
11.9%
3 30
 
5.3%
8 27
 
4.8%
1 26
 
4.6%
9 25
 
4.4%
2 17
 
3.0%

종사자수
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.382979
Minimum0
Maximum198
Zeros1
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T10:04:03.091005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.3
Q111
median21
Q349
95-th percentile127.2
Maximum198
Range198
Interquartile range (IQR)38

Descriptive statistics

Standard deviation43.880546
Coefficient of variation (CV)1.1432293
Kurtosis5.8994807
Mean38.382979
Median Absolute Deviation (MAD)16
Skewness2.3203699
Sum1804
Variance1925.5023
MonotonicityNot monotonic
2023-12-12T10:04:03.223514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
46 3
 
6.4%
21 3
 
6.4%
10 3
 
6.4%
1 2
 
4.3%
14 2
 
4.3%
20 2
 
4.3%
7 2
 
4.3%
17 2
 
4.3%
27 1
 
2.1%
9 1
 
2.1%
Other values (26) 26
55.3%
ValueCountFrequency (%)
0 1
 
2.1%
1 2
4.3%
2 1
 
2.1%
3 1
 
2.1%
5 1
 
2.1%
7 2
4.3%
9 1
 
2.1%
10 3
6.4%
12 1
 
2.1%
14 2
4.3%
ValueCountFrequency (%)
198 1
2.1%
192 1
2.1%
144 1
2.1%
88 1
2.1%
84 1
2.1%
75 1
2.1%
74 1
2.1%
63 1
2.1%
57 1
2.1%
53 1
2.1%

운영주체
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
개인
37 
법인
10 

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 37
78.7%
법인 10
 
21.3%

Length

2023-12-12T10:04:03.347609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:04:03.433766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 37
78.7%
법인 10
 
21.3%

운영주체명
Text

MISSING 

Distinct5
Distinct (%)62.5%
Missing39
Missing (%)83.0%
Memory size508.0 B
2023-12-12T10:04:03.557195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.25
Min length6

Characters and Unicode

Total characters82
Distinct characters22
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

Unique3 ?
Unique (%)37.5%

Sample

1st row사회복지법인 가경복지재단
2nd row사회복지법인 만월
3rd row사회복지법인영재원
4th row사회복지법인 해송복지원
5th row사회복지법인 해송복지원
ValueCountFrequency (%)
사회복지법인 5
38.5%
해송복지원 3
23.1%
사회복지법인영재원 2
 
15.4%
가경복지재단 1
 
7.7%
만월 1
 
7.7%
통영ywca 1
 
7.7%
2023-12-12T10:04:03.864464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
복 11
13.4%
지 11
13.4%
사 7
8.5%
법 7
8.5%
인 7
8.5%
회 7
8.5%
원 5
 
6.1%
5
 
6.1%
영 3
 
3.7%
재 3
 
3.7%
Other values (12) 16
19.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73
89.0%
Space Separator 5
 
6.1%
Uppercase Letter 4
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
복 11
15.1%
지 11
15.1%
사 7
9.6%
법 7
9.6%
인 7
9.6%
회 7
9.6%
원 5
6.8%
영 3
 
4.1%
재 3
 
4.1%
송 3
 
4.1%
Other values (7) 9
12.3%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
W 1
25.0%
C 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73
89.0%
Common 5
 
6.1%
Latin 4
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
복 11
15.1%
지 11
15.1%
사 7
9.6%
법 7
9.6%
인 7
9.6%
회 7
9.6%
원 5
6.8%
영 3
 
4.1%
재 3
 
4.1%
송 3
 
4.1%
Other values (7) 9
12.3%
Latin
ValueCountFrequency (%)
Y 1
25.0%
W 1
25.0%
C 1
25.0%
A 1
25.0%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73
89.0%
ASCII 9
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
복 11
15.1%
지 11
15.1%
사 7
9.6%
법 7
9.6%
인 7
9.6%
회 7
9.6%
원 5
6.8%
영 3
 
4.1%
재 3
 
4.1%
송 3
 
4.1%
Other values (7) 9
12.3%
ASCII
ValueCountFrequency (%)
5
55.6%
Y 1
 
11.1%
W 1
 
11.1%
C 1
 
11.1%
A 1
 
11.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
경상남도 통영시청
47 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 통영시청
2nd row경상남도 통영시청
3rd row경상남도 통영시청
4th row경상남도 통영시청
5th row경상남도 통영시청

Common Values

ValueCountFrequency (%)
경상남도 통영시청 47
100.0%

Length

2023-12-12T10:04:04.023480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:04:04.148131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 47
50.0%
통영시청 47
50.0%

소재지도로명주소
Text

Distinct43
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T10:04:04.447921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32
Mean length25.404255
Min length18

Characters and Unicode

Total characters1194
Distinct characters101
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)85.1%

Sample

1st row경상남도 통영시 용남면 기호안길 14-50
2nd row경상남도 통영시 광도면 남해안대로 1370-72
3rd row경상남도 통영시 산양읍 미륵산길 212
4th row경상남도 통영시 용남면 논싯골길 193
5th row경상남도 통영시 여황로 400-8, 1~4층 (북신동)
ValueCountFrequency (%)
경상남도 46
 
17.6%
통영시 46
 
17.6%
광도면 12
 
4.6%
용남면 9
 
3.4%
2층 8
 
3.1%
중앙로 7
 
2.7%
무전동 6
 
2.3%
용남해안로 4
 
1.5%
1층 4
 
1.5%
108-30 3
 
1.1%
Other values (98) 117
44.7%
2023-12-12T10:04:04.873530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
215
 
18.0%
남 63
 
5.3%
도 60
 
5.0%
영 49
 
4.1%
통 48
 
4.0%
상 47
 
3.9%
경 46
 
3.9%
1 46
 
3.9%
시 46
 
3.9%
2 35
 
2.9%
Other values (91) 539
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 687
57.5%
Space Separator 215
 
18.0%
Decimal Number 196
 
16.4%
Open Punctuation 25
 
2.1%
Close Punctuation 25
 
2.1%
Other Punctuation 23
 
1.9%
Dash Punctuation 21
 
1.8%
Lowercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 63
 
9.2%
도 60
 
8.7%
영 49
 
7.1%
통 48
 
7.0%
상 47
 
6.8%
경 46
 
6.7%
시 46
 
6.7%
로 31
 
4.5%
동 26
 
3.8%
면 23
 
3.3%
Other values (74) 248
36.1%
Decimal Number
ValueCountFrequency (%)
1 46
23.5%
2 35
17.9%
0 23
11.7%
3 19
9.7%
4 17
 
8.7%
5 14
 
7.1%
7 13
 
6.6%
8 12
 
6.1%
6 10
 
5.1%
9 7
 
3.6%
Space Separator
ValueCountFrequency (%)
215
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 687
57.5%
Common 506
42.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 63
 
9.2%
도 60
 
8.7%
영 49
 
7.1%
통 48
 
7.0%
상 47
 
6.8%
경 46
 
6.7%
시 46
 
6.7%
로 31
 
4.5%
동 26
 
3.8%
면 23
 
3.3%
Other values (74) 248
36.1%
Common
ValueCountFrequency (%)
215
42.5%
1 46
 
9.1%
2 35
 
6.9%
( 25
 
4.9%
) 25
 
4.9%
0 23
 
4.5%
, 23
 
4.5%
- 21
 
4.2%
3 19
 
3.8%
4 17
 
3.4%
Other values (6) 57
 
11.3%
Latin
ValueCountFrequency (%)
b 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 687
57.5%
ASCII 507
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
215
42.4%
1 46
 
9.1%
2 35
 
6.9%
( 25
 
4.9%
) 25
 
4.9%
0 23
 
4.5%
, 23
 
4.5%
- 21
 
4.1%
3 19
 
3.7%
4 17
 
3.4%
Other values (7) 58
 
11.4%
Hangul
ValueCountFrequency (%)
남 63
 
9.2%
도 60
 
8.7%
영 49
 
7.1%
통 48
 
7.0%
상 47
 
6.8%
경 46
 
6.7%
시 46
 
6.7%
로 31
 
4.5%
동 26
 
3.8%
면 23
 
3.3%
Other values (74) 248
36.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-05-08 00:00:00
Maximum2023-05-08 00:00:00
2023-12-12T10:04:05.026853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:04:05.125749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T10:04:00.028380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:03:59.800722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:04:00.151552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:03:59.910153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:04:05.206590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설의 종류시설명전화번호종사자수운영주체운영주체명소재지도로명주소
연번1.0000.9021.0000.8880.0000.5540.2850.869
시설의 종류0.9021.0001.0000.5570.2850.6620.0000.000
시설명1.0001.0001.0001.0001.0001.0001.0001.000
전화번호0.8880.5571.0001.0000.9841.0001.0000.994
종사자수0.0000.2851.0000.9841.0000.0000.4030.943
운영주체0.5540.6621.0001.0000.0001.000NaN1.000
운영주체명0.2850.0001.0001.0000.403NaN1.0001.000
소재지도로명주소0.8690.0001.0000.9940.9431.0001.0001.000
2023-12-12T10:04:05.342499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설의 종류운영주체
시설의 종류1.0000.453
운영주체0.4531.000
2023-12-12T10:04:05.430468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종사자수시설의 종류운영주체
연번1.0000.1920.7280.319
종사자수0.1921.0000.1840.000
시설의 종류0.7280.1841.0000.453
운영주체0.3190.0000.4531.000

Missing values

2023-12-12T10:04:00.303355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:04:00.474631image/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

연번시설의 종류시설명전화번호종사자수운영주체운영주체명관리기관명소재지도로명주소데이터기준일자
01노인의료복지시설가경노인요양원055-645-387339법인사회복지법인 가경복지재단경상남도 통영시청경상남도 통영시 용남면 기호안길 14-502023-05-08
12노인의료복지시설대건노인요양원055-644-813317개인<NA>경상남도 통영시청경상남도 통영시 광도면 남해안대로 1370-722023-05-08
23노인의료복지시설만월노인요양원055-648-118646법인사회복지법인 만월경상남도 통영시청경상남도 통영시 산양읍 미륵산길 2122023-05-08
34노인의료복지시설통영 보금자리 요양원055-645-797414법인사회복지법인영재원경상남도 통영시청경상남도 통영시 용남면 논싯골길 1932023-05-08
45노인의료복지시설통영요양원 더진시니어타운055-649-704046개인<NA>경상남도 통영시청경상남도 통영시 여황로 400-8, 1~4층 (북신동)2023-05-08
56노인의료복지시설해송노인전문요양원055-649-560553법인사회복지법인 해송복지원경상남도 통영시청경상남도 통영시 용남면 용남해안로 108-302023-05-08
67노인의료복지시설효은노인요양원055-641-141426법인<NA>경상남도 통영시청경상남도 통영시 미수로 76-31 (미수동)2023-05-08
78노인의료복지시설통영참사랑요양원055-649-11007개인<NA>경상남도 통영시청경상남도 통영시 광도면 홀리1길 265-472023-05-08
89노인주거복지시설해송양로원055-649-560612법인사회복지법인 해송복지원경상남도 통영시청경상남도 통영시 용남면 용남해안로 108-302023-05-08
910노인주거복지시설처음사랑원055-646-99385개인<NA>경상남도 통영시청경상남도 통영시 용남면 용남해안로 2512023-05-08
연번시설의 종류시설명전화번호종사자수운영주체운영주체명관리기관명소재지도로명주소데이터기준일자
3738재가장기요양기관박원순 노인재가복지센터055-648-513550개인<NA>경상남도 통영시청경상남도 통영시 광도면 향교길 5, 2층2023-05-08
3839재가장기요양기관사량재가노인복지센터055-642-950528개인<NA>경상남도 통영시청경상남도 통영시 사량면 진촌1길 342023-05-08
3940재가장기요양기관삼성노인생활복지센터055-649-0504198개인<NA>경상남도 통영시청경상남도 통영시 중앙로 101-6 (항남동)2023-05-08
4041재가장기요양기관성민노인주간보호센터055-641-036414개인<NA>경상남도 통영시청경상남도 통영시 광도면 죽림대밭길 76-192023-05-08
4142재가장기요양기관통영문화노인복지센타055-645-658888개인<NA>경상남도 통영시청경상남도 통영시 중앙로 157-2, 2층 (문화동)2023-05-08
4243재가장기요양기관통영사랑재가노인복지센터055-642-0231144개인<NA>경상남도 통영시청경상남도 통영시 무전대로 15, 2층 (무전동)2023-05-08
4344재가장기요양기관통영재가방문요양센터055-649-4232192개인<NA>경상남도 통영시청경상남도 통영시 북신로 22 (북신동, 통영해모로오션힐 상가204호)2023-05-08
4445재가장기요양기관통영행복노인재가복지센터055-646-069017개인<NA>경상남도 통영시청경상남도 통영시 광도면 조암길 52023-05-08
4546재가장기요양기관하나재가방문요양센터055-644-633842개인<NA>경상남도 통영시청경상남도 통영시 광도면 죽림1로 8, 나동 401호2023-05-08
4647재가장기요양기관요양보호사연합소망재가복지센터055-648-768210개인<NA>경상남도 통영시청경상남도 통영시 용남면 삼화음촌길 17(2층)2023-05-08