Overview

Dataset statistics

Number of variables7
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory61.0 B

Variable types

Numeric3
Text2
Categorical1
DateTime1

Dataset

Description2013년11월30일 , 2019년12월31일, 2023년5월31일 기준 진주시 관내 의료기관별(종합병원 ㆍ병원 ㆍ정신병원 ㆍ요양병원 ㆍ일반의원), 소재지, 행정동, 병실, 병상수 정보를 제공합니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15085783

Alerts

기준일자 has constant value ""Constant
입원실 is highly overall correlated with 병상High correlation
병상 is highly overall correlated with 입원실High correlation
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique
입원실 has 2 (3.1%) zerosZeros
병상 has 2 (3.1%) zerosZeros

Reproduction

Analysis started2023-12-10 22:46:05.981210
Analysis finished2023-12-10 22:46:07.468107
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T07:46:07.549139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q117
median33
Q349
95-th percentile61.8
Maximum65
Range64
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.90767
Coefficient of variation (CV)0.57295971
Kurtosis-1.2
Mean33
Median Absolute Deviation (MAD)16
Skewness0
Sum2145
Variance357.5
MonotonicityStrictly increasing
2023-12-11T07:46:07.705299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
50 1
 
1.5%
36 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%
56 1
1.5%

의료기관명
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T07:46:07.901710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length9.4
Min length4

Characters and Unicode

Total characters611
Distinct characters144
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

Unique65 ?
Unique (%)100.0%

Sample

1st row한빛요양병원
2nd row김취열기념의료재단 프라임병원
3rd row한일요양병원
4th row예담소아청소년과병원
5th row장덕한방병원
ValueCountFrequency (%)
의료법인 8
 
9.4%
진주의료재단 3
 
3.5%
행복한의료재단 2
 
2.4%
굿모닝비뇨기과의원 1
 
1.2%
이성수안과의원 1
 
1.2%
진주신경외과의원 1
 
1.2%
진주항외과의원 1
 
1.2%
지앤미의원 1
 
1.2%
진주항맥외과의원 1
 
1.2%
닥터하맥의원 1
 
1.2%
Other values (65) 65
76.5%
2023-12-11T07:46:08.272477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 65
 
10.6%
의 56
 
9.2%
병 32
 
5.2%
과 31
 
5.1%
진 22
 
3.6%
주 21
 
3.4%
20
 
3.3%
료 20
 
3.3%
인 14
 
2.3%
외 12
 
2.0%
Other values (134) 318
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 590
96.6%
Space Separator 20
 
3.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 65
 
11.0%
의 56
 
9.5%
병 32
 
5.4%
과 31
 
5.3%
진 22
 
3.7%
주 21
 
3.6%
료 20
 
3.4%
인 14
 
2.4%
외 12
 
2.0%
재 11
 
1.9%
Other values (132) 306
51.9%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 590
96.6%
Common 21
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 65
 
11.0%
의 56
 
9.5%
병 32
 
5.4%
과 31
 
5.3%
진 22
 
3.7%
주 21
 
3.6%
료 20
 
3.4%
인 14
 
2.4%
외 12
 
2.0%
재 11
 
1.9%
Other values (132) 306
51.9%
Common
ValueCountFrequency (%)
20
95.2%
, 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 590
96.6%
ASCII 21
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 65
 
11.0%
의 56
 
9.5%
병 32
 
5.4%
과 31
 
5.3%
진 22
 
3.7%
주 21
 
3.6%
료 20
 
3.4%
인 14
 
2.4%
외 12
 
2.0%
재 11
 
1.9%
Other values (132) 306
51.9%
ASCII
ValueCountFrequency (%)
20
95.2%
, 1
 
4.8%

의료기관주소(도로명)
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T07:46:08.578228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length37
Mean length30.738462
Min length19

Characters and Unicode

Total characters1998
Distinct characters131
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

Unique65 ?
Unique (%)100.0%

Sample

1st row경상남도 진주시 대신로 120, 한빛요양병원 지하2층 2층-9층층 (상평동)
2nd row경상남도 진주시 명석면 나불로 305, 지하1층-지상8층
3rd row경상남도 진주시 범골로 17, 한일병원 6층,7층 (충무공동)
4th row경상남도 진주시 충의로 20-33, 2층 (충무공동)
5th row경상남도 진주시 촉석로 178, 지하1, 1~3층 (중안동)
ValueCountFrequency (%)
경상남도 65
 
16.1%
진주시 65
 
16.1%
진주대로 12
 
3.0%
진양호로 12
 
3.0%
평거동 10
 
2.5%
동진로 8
 
2.0%
칠암동 6
 
1.5%
상대동 6
 
1.5%
2층 5
 
1.2%
충무공동 4
 
1.0%
Other values (155) 210
52.1%
2023-12-11T07:46:09.050968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
338
 
16.9%
진 104
 
5.2%
, 97
 
4.9%
주 89
 
4.5%
상 75
 
3.8%
남 72
 
3.6%
1 71
 
3.6%
동 67
 
3.4%
경 66
 
3.3%
시 65
 
3.3%
Other values (121) 954
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1093
54.7%
Space Separator 338
 
16.9%
Decimal Number 325
 
16.3%
Other Punctuation 97
 
4.9%
Open Punctuation 57
 
2.9%
Close Punctuation 57
 
2.9%
Dash Punctuation 11
 
0.6%
Uppercase Letter 11
 
0.6%
Math Symbol 9
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 104
 
9.5%
주 89
 
8.1%
상 75
 
6.9%
남 72
 
6.6%
동 67
 
6.1%
경 66
 
6.0%
시 65
 
5.9%
도 65
 
5.9%
로 63
 
5.8%
층 56
 
5.1%
Other values (101) 371
33.9%
Decimal Number
ValueCountFrequency (%)
1 71
21.8%
2 46
14.2%
3 36
11.1%
5 30
9.2%
8 26
 
8.0%
9 25
 
7.7%
0 25
 
7.7%
4 24
 
7.4%
7 24
 
7.4%
6 18
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
C 3
27.3%
Y 3
27.3%
A 1
 
9.1%
Space Separator
ValueCountFrequency (%)
338
100.0%
Other Punctuation
ValueCountFrequency (%)
, 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1093
54.7%
Common 894
44.7%
Latin 11
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 104
 
9.5%
주 89
 
8.1%
상 75
 
6.9%
남 72
 
6.6%
동 67
 
6.1%
경 66
 
6.0%
시 65
 
5.9%
도 65
 
5.9%
로 63
 
5.8%
층 56
 
5.1%
Other values (101) 371
33.9%
Common
ValueCountFrequency (%)
338
37.8%
, 97
 
10.9%
1 71
 
7.9%
( 57
 
6.4%
) 57
 
6.4%
2 46
 
5.1%
3 36
 
4.0%
5 30
 
3.4%
8 26
 
2.9%
9 25
 
2.8%
Other values (6) 111
 
12.4%
Latin
ValueCountFrequency (%)
B 4
36.4%
C 3
27.3%
Y 3
27.3%
A 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1093
54.7%
ASCII 905
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
338
37.3%
, 97
 
10.7%
1 71
 
7.8%
( 57
 
6.3%
) 57
 
6.3%
2 46
 
5.1%
3 36
 
4.0%
5 30
 
3.3%
8 26
 
2.9%
9 25
 
2.8%
Other values (10) 122
 
13.5%
Hangul
ValueCountFrequency (%)
진 104
 
9.5%
주 89
 
8.1%
상 75
 
6.9%
남 72
 
6.6%
동 67
 
6.1%
경 66
 
6.0%
시 65
 
5.9%
도 65
 
5.9%
로 63
 
5.8%
층 56
 
5.1%
Other values (101) 371
33.9%

행정동
Categorical

Distinct18
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
평거동
10 
상대동
7 
칠암동
7 
중앙동
7 
성북동
6 
Other values (13)
28 

Length

Max length4
Median length3
Mean length3.0769231
Min length3

Unique

Unique7 ?
Unique (%)10.8%

Sample

1st row상평동
2nd row명석면
3rd row충무공동
4th row충무공동
5th row성북동

Common Values

ValueCountFrequency (%)
평거동 10
15.4%
상대동 7
10.8%
칠암동 7
10.8%
중앙동 7
10.8%
성북동 6
9.2%
천전동 5
7.7%
충무공동 4
 
6.2%
문산읍 4
 
6.2%
신안동 4
 
6.2%
가호동 2
 
3.1%
Other values (8) 9
13.8%

Length

2023-12-11T07:46:09.185703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
평거동 10
15.4%
칠암동 7
10.8%
중앙동 7
10.8%
상대동 7
10.8%
성북동 6
9.2%
천전동 5
7.7%
충무공동 4
 
6.2%
문산읍 4
 
6.2%
신안동 4
 
6.2%
하대동 2
 
3.1%
Other values (8) 9
13.8%

입원실
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct36
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.892308
Minimum0
Maximum206
Zeros2
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T07:46:09.308837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median14
Q339
95-th percentile80.8
Maximum206
Range206
Interquartile range (IQR)34

Descriptive statistics

Standard deviation34.857354
Coefficient of variation (CV)1.2497121
Kurtosis9.6132742
Mean27.892308
Median Absolute Deviation (MAD)13
Skewness2.5457089
Sum1813
Variance1215.0351
MonotonicityNot monotonic
2023-12-11T07:46:09.446067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 9
 
13.8%
7 4
 
6.2%
31 4
 
6.2%
3 3
 
4.6%
14 3
 
4.6%
10 3
 
4.6%
68 2
 
3.1%
62 2
 
3.1%
5 2
 
3.1%
6 2
 
3.1%
Other values (26) 31
47.7%
ValueCountFrequency (%)
0 2
 
3.1%
1 9
13.8%
3 3
 
4.6%
4 1
 
1.5%
5 2
 
3.1%
6 2
 
3.1%
7 4
6.2%
8 2
 
3.1%
10 3
 
4.6%
11 2
 
3.1%
ValueCountFrequency (%)
206 1
1.5%
102 1
1.5%
88 1
1.5%
81 1
1.5%
80 1
1.5%
78 1
1.5%
77 1
1.5%
68 2
3.1%
64 1
1.5%
62 2
3.1%

병상
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct39
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.70769
Minimum0
Maximum890
Zeros2
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T07:46:09.577121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median29
Q3151
95-th percentile346.2
Maximum890
Range890
Interquartile range (IQR)142

Descriptive statistics

Standard deviation153.4675
Coefficient of variation (CV)1.4942162
Kurtosis10.239596
Mean102.70769
Median Absolute Deviation (MAD)26
Skewness2.7255375
Sum6676
Variance23552.273
MonotonicityNot monotonic
2023-12-11T07:46:09.715863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
29 7
 
10.8%
1 7
 
10.8%
3 4
 
6.2%
10 3
 
4.6%
21 3
 
4.6%
50 2
 
3.1%
0 2
 
3.1%
22 2
 
3.1%
48 2
 
3.1%
299 2
 
3.1%
Other values (29) 31
47.7%
ValueCountFrequency (%)
0 2
 
3.1%
1 7
10.8%
3 4
6.2%
4 2
 
3.1%
8 1
 
1.5%
9 1
 
1.5%
10 3
4.6%
20 2
 
3.1%
21 3
4.6%
22 2
 
3.1%
ValueCountFrequency (%)
890 1
1.5%
515 1
1.5%
354 1
1.5%
350 1
1.5%
331 1
1.5%
299 2
3.1%
289 1
1.5%
277 1
1.5%
252 1
1.5%
251 1
1.5%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2023-05-31 00:00:00
Maximum2023-05-31 00:00:00
2023-12-11T07:46:09.820782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:09.906274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T07:46:07.042213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:06.305093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:06.557304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:07.136226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:06.393839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:06.636416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:07.214802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:06.488056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:06.959509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:46:09.993326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명의료기관주소(도로명)행정동입원실병상
순번1.0001.0001.0000.7160.4400.483
의료기관명1.0001.0001.0001.0001.0001.000
의료기관주소(도로명)1.0001.0001.0001.0001.0001.000
행정동0.7161.0001.0001.0000.6380.514
입원실0.4401.0001.0000.6381.0000.976
병상0.4831.0001.0000.5140.9761.000
2023-12-11T07:46:10.080325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번입원실병상행정동
순번1.000-0.400-0.4730.337
입원실-0.4001.0000.9690.270
병상-0.4730.9691.0000.196
행정동0.3370.2700.1961.000

Missing values

2023-12-11T07:46:07.317533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:46:07.428117image/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

순번의료기관명의료기관주소(도로명)행정동입원실병상기준일자
01한빛요양병원경상남도 진주시 대신로 120, 한빛요양병원 지하2층 2층-9층층 (상평동)상평동682892023-05-31
12김취열기념의료재단 프라임병원경상남도 진주시 명석면 나불로 305, 지하1층-지상8층명석면441622023-05-31
23한일요양병원경상남도 진주시 범골로 17, 한일병원 6층,7층 (충무공동)충무공동351352023-05-31
34예담소아청소년과병원경상남도 진주시 충의로 20-33, 2층 (충무공동)충무공동25432023-05-31
45장덕한방병원경상남도 진주시 촉석로 178, 지하1, 1~3층 (중안동)성북동18502023-05-31
56우리들치과병원경상남도 진주시 동진로 111, 1층 (상대동, 한보프라자)상대동002023-05-31
67의료법인 우람의료재단 세종병원경상남도 진주시 동진로 111 (상대동, 디럭스타워 7-9층)상대동311532023-05-31
78의료법인 행복한의료재단 센텀병원경상남도 진주시 진주대로941번길 8, 1,2층 (강남동)상대동17992023-05-31
89진주중앙요양병원경상남도 진주시 촉석로 178, 지하1층,지상1~5층 (중안동)성북동682512023-05-31
910튼튼소아청소년과병원경상남도 진주시 진양호로 206, 8,10층 (평거동, BYC진주빌딩)평거동31482023-05-31
순번의료기관명의료기관주소(도로명)행정동입원실병상기준일자
5556남강 수 성형외과의원경상남도 진주시 동진로 22, 아주스타타워 5층 (칠암동)칠암동10222023-05-31
5657굿앤센신경외과의원경상남도 진주시 동진로 22, 아주스타타워 8,9층 (칠암동)칠암동10292023-05-31
5758진주경희한의원경상남도 진주시 초북로20번길 5-11, 1,3,4층 (초전동)초전동11212023-05-31
5859바로마디정형외과신경외과내과의원경상남도 진주시 새평거로 129, 가온빌딩 5,6,9층 (평거동)평거동14292023-05-31
5960하얀메디컬의원경상남도 진주시 진주대로 1110, 지하1층,지상1-4층 (계동)성북동14292023-05-31
6061보람산부인과의원경상남도 진주시 진양호로 255 (평거동)평거동14202023-05-31
6162아이비소아청소년과,이비인후과의원경상남도 진주시 향교로 3, 1,3층 102,303,304,305호 (평안동, 진주롯데인벤스)중앙동17282023-05-31
6263참조은산부인과의원경상남도 진주시 진양호로 317 (신안동)신안동18292023-05-31
6364고운아이소아청소년과의원경상남도 진주시 평거로13번길 23, 2층,3층 (평거동)평거동19292023-05-31
6465성심메디컬의원경상남도 진주시 서장대로213번길 5, 지하1, 1~4층 (이현동)이현동21292023-05-31