Overview

Dataset statistics

Number of variables9
Number of observations120
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory75.1 B

Variable types

Numeric2
Text4
Categorical2
DateTime1

Dataset

Description의료기관명, 종별, 병상수, 소재지, 개설주체(민간 또는 공공), 개설일자, 전화번호, 개설주체별 종류 등 경상남도 의료기관 현황에 관한 정보입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3076329

Alerts

종별 has constant value ""Constant
민간국립공립 is highly imbalanced (88.0%)Imbalance
일련번호 has unique valuesUnique
소 재 지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:28:05.006941
Analysis finished2023-12-10 23:28:06.030538
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.5
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T08:28:06.101603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.95
Q130.75
median60.5
Q390.25
95-th percentile114.05
Maximum120
Range119
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation34.785054
Coefficient of variation (CV)0.57495957
Kurtosis-1.2
Mean60.5
Median Absolute Deviation (MAD)30
Skewness0
Sum7260
Variance1210
MonotonicityStrictly increasing
2023-12-11T08:28:06.244729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
62 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
Other values (110) 110
91.7%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%

의료기관명
Text

Distinct116
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T08:28:06.553274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.6833333
Min length3

Characters and Unicode

Total characters922
Distinct characters170
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)95.8%

Sample

1st row구트병원
2nd row굿모닝내과병원
3rd row의료법인 상원의료재단 창원힘찬병원
4th rowC&J미래여성병원
5th rowthe큰병원
ValueCountFrequency (%)
서울아동병원 5
 
3.6%
의료법인 3
 
2.1%
의 2
 
1.4%
나노병원 1
 
0.7%
현대병원 1
 
0.7%
감청수병원 1
 
0.7%
의)한서의료재단 1
 
0.7%
진영병원 1
 
0.7%
의)환명의료재단 1
 
0.7%
금강병원 1
 
0.7%
Other values (123) 123
87.9%
2023-12-11T08:28:06.965688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 129
 
14.0%
병 119
 
12.9%
의 46
 
5.0%
료 36
 
3.9%
아 25
 
2.7%
재 24
 
2.6%
동 23
 
2.5%
단 23
 
2.5%
서 20
 
2.2%
20
 
2.2%
Other values (160) 457
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 863
93.6%
Space Separator 20
 
2.2%
Close Punctuation 10
 
1.1%
Open Punctuation 10
 
1.1%
Uppercase Letter 8
 
0.9%
Lowercase Letter 6
 
0.7%
Decimal Number 3
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 129
 
14.9%
병 119
 
13.8%
의 46
 
5.3%
료 36
 
4.2%
아 25
 
2.9%
재 24
 
2.8%
동 23
 
2.7%
단 23
 
2.7%
서 20
 
2.3%
울 17
 
2.0%
Other values (144) 401
46.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
37.5%
N 1
 
12.5%
A 1
 
12.5%
S 1
 
12.5%
H 1
 
12.5%
J 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
h 2
33.3%
t 2
33.3%
Decimal Number
ValueCountFrequency (%)
6 1
33.3%
3 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 863
93.6%
Common 45
 
4.9%
Latin 14
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 129
 
14.9%
병 119
 
13.8%
의 46
 
5.3%
료 36
 
4.2%
아 25
 
2.9%
재 24
 
2.8%
동 23
 
2.7%
단 23
 
2.7%
서 20
 
2.3%
울 17
 
2.0%
Other values (144) 401
46.5%
Latin
ValueCountFrequency (%)
C 3
21.4%
e 2
14.3%
h 2
14.3%
t 2
14.3%
N 1
 
7.1%
A 1
 
7.1%
S 1
 
7.1%
H 1
 
7.1%
J 1
 
7.1%
Common
ValueCountFrequency (%)
20
44.4%
) 10
22.2%
( 10
22.2%
& 2
 
4.4%
6 1
 
2.2%
3 1
 
2.2%
5 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 863
93.6%
ASCII 59
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 129
 
14.9%
병 119
 
13.8%
의 46
 
5.3%
료 36
 
4.2%
아 25
 
2.9%
재 24
 
2.8%
동 23
 
2.7%
단 23
 
2.7%
서 20
 
2.3%
울 17
 
2.0%
Other values (144) 401
46.5%
ASCII
ValueCountFrequency (%)
20
33.9%
) 10
16.9%
( 10
16.9%
C 3
 
5.1%
e 2
 
3.4%
h 2
 
3.4%
t 2
 
3.4%
& 2
 
3.4%
6 1
 
1.7%
3 1
 
1.7%
Other values (6) 6
 
10.2%

종별
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
병원
120 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
병원 120
100.0%

Length

2023-12-11T08:28:07.100324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:28:07.190362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 120
100.0%

병상수
Real number (ℝ)

Distinct86
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.34167
Minimum30
Maximum487
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T08:28:07.335685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile36
Q152.75
median96
Q3176.25
95-th percentile295
Maximum487
Range457
Interquartile range (IQR)123.5

Descriptive statistics

Standard deviation91.813795
Coefficient of variation (CV)0.74438588
Kurtosis3.2386308
Mean123.34167
Median Absolute Deviation (MAD)49
Skewness1.6486052
Sum14801
Variance8429.773
MonotonicityNot monotonic
2023-12-11T08:28:07.753333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 5
 
4.2%
202 5
 
4.2%
50 4
 
3.3%
36 4
 
3.3%
110 3
 
2.5%
99 3
 
2.5%
48 3
 
2.5%
62 2
 
1.7%
96 2
 
1.7%
80 2
 
1.7%
Other values (76) 87
72.5%
ValueCountFrequency (%)
30 2
 
1.7%
31 1
 
0.8%
36 4
3.3%
37 1
 
0.8%
38 5
4.2%
40 2
 
1.7%
41 1
 
0.8%
42 1
 
0.8%
44 1
 
0.8%
45 1
 
0.8%
ValueCountFrequency (%)
487 1
0.8%
453 1
0.8%
429 1
0.8%
398 1
0.8%
317 1
0.8%
295 2
1.7%
277 1
0.8%
273 1
0.8%
244 1
0.8%
237 1
0.8%

소 재 지
Text

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T08:28:08.114268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length39
Mean length27.7
Min length18

Characters and Unicode

Total characters3324
Distinct characters188
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)100.0%

Sample

1st row경상남도 창원시 성산구 원이대로 578 (중앙동, 구트병원빌딩 8-12층)
2nd row경상남도 창원시 의창구 사화로 6 (팔용동)
3rd row경상남도 창원시 의창구 의창대로 45 (소계동)
4th row경상남도 창원시 의창구 원이대로 53 (도계동)
5th row경상남도 창원시 의창구 우곡로217번길 10 (명서동, 지하1,2층지상2,3,4,5,6,7,8층)
ValueCountFrequency (%)
경상남도 120
 
17.6%
창원시 35
 
5.1%
김해시 24
 
3.5%
진주시 13
 
1.9%
밀양시 9
 
1.3%
진해구 9
 
1.3%
중앙로 7
 
1.0%
의창구 7
 
1.0%
통영시 7
 
1.0%
성산구 7
 
1.0%
Other values (334) 444
65.1%
2023-12-11T08:28:08.609395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
562
 
16.9%
남 140
 
4.2%
상 133
 
4.0%
도 123
 
3.7%
경 121
 
3.6%
로 110
 
3.3%
동 109
 
3.3%
시 104
 
3.1%
, 98
 
2.9%
( 94
 
2.8%
Other values (178) 1730
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1950
58.7%
Space Separator 562
 
16.9%
Decimal Number 495
 
14.9%
Other Punctuation 105
 
3.2%
Open Punctuation 94
 
2.8%
Close Punctuation 94
 
2.8%
Dash Punctuation 13
 
0.4%
Uppercase Letter 6
 
0.2%
Math Symbol 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 140
 
7.2%
상 133
 
6.8%
도 123
 
6.3%
경 121
 
6.2%
로 110
 
5.6%
동 109
 
5.6%
시 104
 
5.3%
원 65
 
3.3%
창 56
 
2.9%
해 44
 
2.3%
Other values (157) 945
48.5%
Decimal Number
ValueCountFrequency (%)
1 87
17.6%
2 67
13.5%
3 61
12.3%
5 58
11.7%
0 47
9.5%
7 44
8.9%
6 40
8.1%
4 34
 
6.9%
8 32
 
6.5%
9 25
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 98
93.3%
· 4
 
3.8%
. 3
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
C 2
33.3%
Y 2
33.3%
Space Separator
ValueCountFrequency (%)
562
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1950
58.7%
Common 1368
41.2%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 140
 
7.2%
상 133
 
6.8%
도 123
 
6.3%
경 121
 
6.2%
로 110
 
5.6%
동 109
 
5.6%
시 104
 
5.3%
원 65
 
3.3%
창 56
 
2.9%
해 44
 
2.3%
Other values (157) 945
48.5%
Common
ValueCountFrequency (%)
562
41.1%
, 98
 
7.2%
( 94
 
6.9%
) 94
 
6.9%
1 87
 
6.4%
2 67
 
4.9%
3 61
 
4.5%
5 58
 
4.2%
0 47
 
3.4%
7 44
 
3.2%
Other values (8) 156
 
11.4%
Latin
ValueCountFrequency (%)
B 2
33.3%
C 2
33.3%
Y 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1950
58.7%
ASCII 1370
41.2%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
562
41.0%
, 98
 
7.2%
( 94
 
6.9%
) 94
 
6.9%
1 87
 
6.4%
2 67
 
4.9%
3 61
 
4.5%
5 58
 
4.2%
0 47
 
3.4%
7 44
 
3.2%
Other values (10) 158
 
11.5%
Hangul
ValueCountFrequency (%)
남 140
 
7.2%
상 133
 
6.8%
도 123
 
6.3%
경 121
 
6.2%
로 110
 
5.6%
동 109
 
5.6%
시 104
 
5.3%
원 65
 
3.3%
창 56
 
2.9%
해 44
 
2.3%
Other values (157) 945
48.5%
None
ValueCountFrequency (%)
· 4
100.0%

개설자
Text

Distinct119
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T08:28:08.941390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.3583333
Min length3

Characters and Unicode

Total characters403
Distinct characters128
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)98.3%

Sample

1st row김영화
2nd row송광수
3rd row박혜영
4th row차성일
5th row김경범
ValueCountFrequency (%)
김형진 2
 
1.6%
김상현 1
 
0.8%
유충선 1
 
0.8%
윤영권 1
 
0.8%
박동혁 1
 
0.8%
정해용 1
 
0.8%
이성주 1
 
0.8%
허명철 1
 
0.8%
박찬원 1
 
0.8%
감청수 1
 
0.8%
Other values (112) 112
91.1%
2023-12-11T08:28:09.375952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 22
 
5.5%
영 15
 
3.7%
이 15
 
3.7%
정 13
 
3.2%
성 12
 
3.0%
현 10
 
2.5%
진 10
 
2.5%
경 10
 
2.5%
박 9
 
2.2%
수 9
 
2.2%
Other values (118) 278
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 395
98.0%
Space Separator 4
 
1.0%
Decimal Number 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 22
 
5.6%
영 15
 
3.8%
이 15
 
3.8%
정 13
 
3.3%
성 12
 
3.0%
현 10
 
2.5%
진 10
 
2.5%
경 10
 
2.5%
박 9
 
2.3%
수 9
 
2.3%
Other values (114) 270
68.4%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
5 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 395
98.0%
Common 8
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 22
 
5.6%
영 15
 
3.8%
이 15
 
3.8%
정 13
 
3.3%
성 12
 
3.0%
현 10
 
2.5%
진 10
 
2.5%
경 10
 
2.5%
박 9
 
2.3%
수 9
 
2.3%
Other values (114) 270
68.4%
Common
ValueCountFrequency (%)
4
50.0%
1 2
25.0%
5 1
 
12.5%
2 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 395
98.0%
ASCII 8
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 22
 
5.6%
영 15
 
3.8%
이 15
 
3.8%
정 13
 
3.3%
성 12
 
3.0%
현 10
 
2.5%
진 10
 
2.5%
경 10
 
2.5%
박 9
 
2.3%
수 9
 
2.3%
Other values (114) 270
68.4%
ASCII
ValueCountFrequency (%)
4
50.0%
1 2
25.0%
5 1
 
12.5%
2 1
 
12.5%

민간국립공립
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
민간
116 
국립
 
1
-
 
1
공립
 
1
특수법인(공공)
 
1

Length

Max length8
Median length2
Mean length2.0416667
Min length1

Unique

Unique4 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
민간 116
96.7%
국립 1
 
0.8%
- 1
 
0.8%
공립 1
 
0.8%
특수법인(공공) 1
 
0.8%

Length

2023-12-11T08:28:09.518666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:28:09.631438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 116
96.7%
국립 1
 
0.8%
1
 
0.8%
공립 1
 
0.8%
특수법인(공공 1
 
0.8%

개설일자
Date

Distinct119
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1974-09-03 00:00:00
Maximum2018-03-27 00:00:00
2023-12-11T08:28:09.733653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:09.878710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T08:28:10.183512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.908333
Min length1

Characters and Unicode

Total characters1429
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

Unique120 ?
Unique (%)100.0%

Sample

1st row055-262-9000
2nd row055-265-2800
3rd row055-230-9138
4th row055-276-9200
5th row055-270-0920
ValueCountFrequency (%)
055-262-9000 1
 
0.8%
055-265-2800 1
 
0.8%
055-356-0099 1
 
0.8%
055-354-2200 1
 
0.8%
055-716-1275 1
 
0.8%
055-355-9788 1
 
0.8%
055-351-1600 1
 
0.8%
055-333-0005 1
 
0.8%
055-340-3700 1
 
0.8%
055-336-7582 1
 
0.8%
Other values (110) 110
91.7%
2023-12-11T08:28:10.600581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 322
22.5%
0 293
20.5%
- 239
16.7%
2 98
 
6.9%
3 92
 
6.4%
7 88
 
6.2%
1 79
 
5.5%
9 59
 
4.1%
8 58
 
4.1%
6 53
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1190
83.3%
Dash Punctuation 239
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 322
27.1%
0 293
24.6%
2 98
 
8.2%
3 92
 
7.7%
7 88
 
7.4%
1 79
 
6.6%
9 59
 
5.0%
8 58
 
4.9%
6 53
 
4.5%
4 48
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1429
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 322
22.5%
0 293
20.5%
- 239
16.7%
2 98
 
6.9%
3 92
 
6.4%
7 88
 
6.2%
1 79
 
5.5%
9 59
 
4.1%
8 58
 
4.1%
6 53
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1429
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 322
22.5%
0 293
20.5%
- 239
16.7%
2 98
 
6.9%
3 92
 
6.4%
7 88
 
6.2%
1 79
 
5.5%
9 59
 
4.1%
8 58
 
4.1%
6 53
 
3.7%

Interactions

2023-12-11T08:28:05.622791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:05.418162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:05.738257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:05.521807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:28:10.740070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호병상수민간국립공립
일련번호1.0000.3410.052
병상수0.3411.0000.000
민간국립공립0.0520.0001.000
2023-12-11T08:28:10.822793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호병상수민간국립공립
일련번호1.0000.1410.000
병상수0.1411.0000.000
민간국립공립0.0000.0001.000

Missing values

2023-12-11T08:28:05.849311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:28:05.974534image/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

일련번호의료기관명종별병상수소 재 지개설자민간국립공립개설일자전화번호
01구트병원병원67경상남도 창원시 성산구 원이대로 578 (중앙동, 구트병원빌딩 8-12층)김영화민간2015-01-28055-262-9000
12굿모닝내과병원병원50경상남도 창원시 의창구 사화로 6 (팔용동)송광수민간2014-09-11055-265-2800
23의료법인 상원의료재단 창원힘찬병원병원123경상남도 창원시 의창구 의창대로 45 (소계동)박혜영민간2013-10-18055-230-9138
34C&J미래여성병원병원36경상남도 창원시 의창구 원이대로 53 (도계동)차성일민간2012-03-02055-276-9200
45the큰병원병원81경상남도 창원시 의창구 우곡로217번길 10 (명서동, 지하1,2층지상2,3,4,5,6,7,8층)김경범민간2009-11-23055-270-0920
56모란여성병원병원36경상남도 창원시 성산구 마디미서로 56 (상남동, 2,3,4,5,6,7,10층)김준홍민간2009-04-08055-253-3555
67메트로병원병원273경상남도 창원시 의창구 평산로219번길 3 (중동)최웅길민간2008-09-08055-259-7700
78서울이비인후과병원병원30경상남도 창원시 성산구 상남로 73 (상남동, 서울메디컬빌딩8,9,10층(1002호))유화경민간2007-07-16055-282-2800
89상남굿모닝내과병원병원36경상남도 창원시 성산구 상남로 73 (상남동, 서울메디컬빌딩6,7층)최세림민간2007-06-29055-266-7582
910의료법인석경의료재단창원센텀병원병원62경상남도 창원시 성산구 중앙대로 104 (상남동, 마이우스빌딩3층)성대영민간2006-10-25055-211-0800
일련번호의료기관명종별병상수소 재 지개설자민간국립공립개설일자전화번호
110111고성성심병원병원453경상남도 고성군 회화면 남해안대로3963-21이홍섭민간1996-12-06055-673-8511
111112(의)이도의료재단남해병원병원135경상남도 남해군 남해읍 화전로 169김송이민간1988-08-26055-863-2201
112113하동병원병원183경상남도 하동군 하동읍 화심길 25이천형민간1998-11-06055-880-4220
113114함양성심병원병원77경상남도 함양군 함양읍 고운로 70정현주민간1983-06-18055-963-4322
114115거창적십자병원병원96경상남도 거창군 거창읍 중앙로 91추교운특수법인(공공)1974-09-03055-944-3251
115116거창병원병원79경상남도 거창군 거창읍 시장길 20류영석민간1983-01-24055-942-9811
116117의료법인아림의료재단서경병원병원120경상남도 거창군 거창읍 강남로 16-28배영봉민간1995-07-06055-945-0091
117118합천병원병원82경상남도 합천군 합천읍 대야로 890김진태민간2007-12-27055-932-4900
118119삼성합천병원병원99경상남도 합천군 합천읍 대야로 876이재철민간2012-12-31055-933-2200
119120합천고려병원병원487경상남도 합천군 대양면 대야로 737-20주청자민간1992-03-30055-933-1006