Overview

Dataset statistics

Number of variables7
Number of observations113
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory60.2 B

Variable types

Numeric3
Text2
Categorical2

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

순번 is highly overall correlated with 기준일자High correlation
병실 is highly overall correlated with 병상High correlation
병상 is highly overall correlated with 병실High correlation
기준일자 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:46:01.165220
Analysis finished2023-12-10 22:46:02.250054
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57
Minimum1
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T07:46:02.329054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.6
Q129
median57
Q385
95-th percentile107.4
Maximum113
Range112
Interquartile range (IQR)56

Descriptive statistics

Standard deviation32.76431
Coefficient of variation (CV)0.57481245
Kurtosis-1.2
Mean57
Median Absolute Deviation (MAD)28
Skewness0
Sum6441
Variance1073.5
MonotonicityStrictly increasing
2023-12-11T07:46:02.450443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
86 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
Other values (103) 103
91.2%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%

의료기관명
Text

Distinct86
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T07:46:02.610993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length8.7345133
Min length4

Characters and Unicode

Total characters987
Distinct characters153
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

Unique59 ?
Unique (%)52.2%

Sample

1st row제일병원
2nd row고려병원
3rd row경상대학병원
4th row가야자모병원
5th row한일병원
ValueCountFrequency (%)
의료법인 5
 
4.1%
제일병원 2
 
1.6%
김동건안과의원 2
 
1.6%
밝은안과의원 2
 
1.6%
진주항맥외과의원 2
 
1.6%
삼성홍문외과의원 2
 
1.6%
진주신경외과의원 2
 
1.6%
제중의원 2
 
1.6%
정앤남정형외과의원 2
 
1.6%
보람산부인과의원 2
 
1.6%
Other values (82) 100
81.3%
2023-12-11T07:46:02.925416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 112
 
11.3%
의 93
 
9.4%
과 50
 
5.1%
병 49
 
5.0%
진 34
 
3.4%
주 32
 
3.2%
료 29
 
2.9%
인 28
 
2.8%
외 17
 
1.7%
정 17
 
1.7%
Other values (143) 526
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 975
98.8%
Space Separator 11
 
1.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 112
 
11.5%
의 93
 
9.5%
과 50
 
5.1%
병 49
 
5.0%
진 34
 
3.5%
주 32
 
3.3%
료 29
 
3.0%
인 28
 
2.9%
외 17
 
1.7%
정 17
 
1.7%
Other values (141) 514
52.7%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 975
98.8%
Common 12
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 112
 
11.5%
의 93
 
9.5%
과 50
 
5.1%
병 49
 
5.0%
진 34
 
3.5%
주 32
 
3.3%
료 29
 
3.0%
인 28
 
2.9%
외 17
 
1.7%
정 17
 
1.7%
Other values (141) 514
52.7%
Common
ValueCountFrequency (%)
11
91.7%
, 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 975
98.8%
ASCII 12
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 112
 
11.5%
의 93
 
9.5%
과 50
 
5.1%
병 49
 
5.0%
진 34
 
3.5%
주 32
 
3.3%
료 29
 
3.0%
인 28
 
2.9%
외 17
 
1.7%
정 17
 
1.7%
Other values (141) 514
52.7%
ASCII
ValueCountFrequency (%)
11
91.7%
, 1
 
8.3%

소재지
Text

Distinct110
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T07:46:03.158642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length20.353982
Min length14

Characters and Unicode

Total characters2300
Distinct characters114
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

Unique107 ?
Unique (%)94.7%

Sample

1st row진주시 진주대로 885(강남동)
2nd row진주시 동진로 2(칠암동)
3rd row진주시 강남로 79(칠암동)
4th row진주시 진주대로 869(주약동)
5th row진주시 대신로 120(상평동)
ValueCountFrequency (%)
진주시 113
25.8%
진주대로 27
 
6.2%
진양호로 20
 
4.6%
동진로 10
 
2.3%
평거동 9
 
2.1%
문산읍 8
 
1.8%
제곡길98번길 6
 
1.4%
신안동 5
 
1.1%
강남동 5
 
1.1%
남강로 4
 
0.9%
Other values (182) 231
52.7%
2023-12-11T07:46:03.511651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
331
 
14.4%
진 178
 
7.7%
주 153
 
6.7%
시 113
 
4.9%
동 111
 
4.8%
로 107
 
4.7%
) 106
 
4.6%
( 106
 
4.6%
1 89
 
3.9%
대 66
 
2.9%
Other values (104) 940
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1223
53.2%
Decimal Number 440
 
19.1%
Space Separator 331
 
14.4%
Close Punctuation 106
 
4.6%
Open Punctuation 106
 
4.6%
Other Punctuation 67
 
2.9%
Dash Punctuation 11
 
0.5%
Math Symbol 10
 
0.4%
Uppercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 178
14.6%
주 153
 
12.5%
시 113
 
9.2%
동 111
 
9.1%
로 107
 
8.7%
대 66
 
5.4%
층 32
 
2.6%
호 27
 
2.2%
안 26
 
2.1%
길 25
 
2.0%
Other values (84) 385
31.5%
Decimal Number
ValueCountFrequency (%)
1 89
20.2%
2 48
10.9%
3 48
10.9%
5 45
10.2%
8 43
9.8%
4 40
9.1%
9 35
 
8.0%
7 34
 
7.7%
0 30
 
6.8%
6 28
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
C 2
33.3%
Y 2
33.3%
Other Punctuation
ValueCountFrequency (%)
, 63
94.0%
. 4
 
6.0%
Space Separator
ValueCountFrequency (%)
331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1223
53.2%
Common 1071
46.6%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 178
14.6%
주 153
 
12.5%
시 113
 
9.2%
동 111
 
9.1%
로 107
 
8.7%
대 66
 
5.4%
층 32
 
2.6%
호 27
 
2.2%
안 26
 
2.1%
길 25
 
2.0%
Other values (84) 385
31.5%
Common
ValueCountFrequency (%)
331
30.9%
) 106
 
9.9%
( 106
 
9.9%
1 89
 
8.3%
, 63
 
5.9%
2 48
 
4.5%
3 48
 
4.5%
5 45
 
4.2%
8 43
 
4.0%
4 40
 
3.7%
Other values (7) 152
14.2%
Latin
ValueCountFrequency (%)
B 2
33.3%
C 2
33.3%
Y 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1223
53.2%
ASCII 1077
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
331
30.7%
) 106
 
9.8%
( 106
 
9.8%
1 89
 
8.3%
, 63
 
5.8%
2 48
 
4.5%
3 48
 
4.5%
5 45
 
4.2%
8 43
 
4.0%
4 40
 
3.7%
Other values (10) 158
14.7%
Hangul
ValueCountFrequency (%)
진 178
14.6%
주 153
 
12.5%
시 113
 
9.2%
동 111
 
9.1%
로 107
 
8.7%
대 66
 
5.4%
층 32
 
2.6%
호 27
 
2.2%
안 26
 
2.1%
길 25
 
2.0%
Other values (84) 385
31.5%

행정동
Categorical

Distinct18
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
천전동
25 
중앙동
19 
신안동
10 
평거동
9 
문산읍
8 
Other values (13)
42 

Length

Max length5
Median length3
Mean length3.0884956
Min length3

Unique

Unique4 ?
Unique (%)3.5%

Sample

1st row천전동
2nd row천전동
3rd row천전동
4th row천전동
5th row상평동

Common Values

ValueCountFrequency (%)
천전동 25
22.1%
중앙동 19
16.8%
신안동 10
 
8.8%
평거동 9
 
8.0%
문산읍 8
 
7.1%
성북동 8
 
7.1%
상대동 8
 
7.1%
하대동 6
 
5.3%
가호동 5
 
4.4%
충무공동 3
 
2.7%
Other values (8) 12
10.6%

Length

2023-12-11T07:46:03.632589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천전동 25
22.1%
중앙동 19
16.8%
신안동 12
10.6%
평거동 10
 
8.8%
문산읍 8
 
7.1%
성북동 8
 
7.1%
상대동 8
 
7.1%
하대동 6
 
5.3%
가호동 5
 
4.4%
충무공동 3
 
2.7%
Other values (6) 9
 
8.0%

병실
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.380531
Minimum1
Maximum201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T07:46:03.746248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median14
Q336
95-th percentile78.8
Maximum201
Range200
Interquartile range (IQR)31

Descriptive statistics

Standard deviation34.313502
Coefficient of variation (CV)1.3007131
Kurtosis10.523546
Mean26.380531
Median Absolute Deviation (MAD)11
Skewness2.7742601
Sum2981
Variance1177.4164
MonotonicityNot monotonic
2023-12-11T07:46:03.868438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 16
 
14.2%
6 8
 
7.1%
7 7
 
6.2%
5 6
 
5.3%
3 6
 
5.3%
31 5
 
4.4%
17 4
 
3.5%
50 3
 
2.7%
10 3
 
2.7%
25 3
 
2.7%
Other values (40) 52
46.0%
ValueCountFrequency (%)
1 16
14.2%
2 1
 
0.9%
3 6
 
5.3%
4 2
 
1.8%
5 6
 
5.3%
6 8
7.1%
7 7
6.2%
8 2
 
1.8%
9 2
 
1.8%
10 3
 
2.7%
ValueCountFrequency (%)
201 1
0.9%
200 1
0.9%
114 1
0.9%
98 1
0.9%
93 1
0.9%
80 1
0.9%
78 1
0.9%
77 1
0.9%
72 1
0.9%
71 1
0.9%

병상
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102
Minimum0
Maximum897
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T07:46:04.040109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median29
Q3151
95-th percentile379.6
Maximum897
Range897
Interquartile range (IQR)143

Descriptive statistics

Standard deviation159.72074
Coefficient of variation (CV)1.5658896
Kurtosis9.7380411
Mean102
Median Absolute Deviation (MAD)26
Skewness2.7616447
Sum11526
Variance25510.714
MonotonicityNot monotonic
2023-12-11T07:46:04.181257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 13
 
11.5%
1 12
 
10.6%
3 10
 
8.8%
20 4
 
3.5%
10 4
 
3.5%
4 3
 
2.7%
8 3
 
2.7%
9 3
 
2.7%
299 3
 
2.7%
400 2
 
1.8%
Other values (52) 56
49.6%
ValueCountFrequency (%)
0 1
 
0.9%
1 12
10.6%
3 10
8.8%
4 3
 
2.7%
6 1
 
0.9%
7 1
 
0.9%
8 3
 
2.7%
9 3
 
2.7%
10 4
 
3.5%
13 2
 
1.8%
ValueCountFrequency (%)
897 1
 
0.9%
889 1
 
0.9%
565 1
 
0.9%
455 1
 
0.9%
400 2
1.8%
366 1
 
0.9%
354 1
 
0.9%
322 1
 
0.9%
299 3
2.7%
277 1
 
0.9%

기준일자
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2019-12-31
60 
2013-11-30
53 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2013-11-30
2nd row2013-11-30
3rd row2013-11-30
4th row2013-11-30
5th row2013-11-30

Common Values

ValueCountFrequency (%)
2019-12-31 60
53.1%
2013-11-30 53
46.9%

Length

2023-12-11T07:46:04.309138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:46:04.397159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-31 60
53.1%
2013-11-30 53
46.9%

Interactions

2023-12-11T07:46:01.911909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:01.499568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:01.702703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:01.971027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:01.569054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:01.771324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:02.040409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:01.642971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:46:01.845994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:46:04.451401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명행정동병실병상기준일자
순번1.0000.0000.5350.5030.5060.996
의료기관명0.0001.0000.9880.7670.8660.000
행정동0.5350.9881.0000.2810.3860.407
병실0.5030.7670.2811.0000.8530.000
병상0.5060.8660.3860.8531.0000.000
기준일자0.9960.0000.4070.0000.0001.000
2023-12-11T07:46:04.536858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동기준일자
행정동1.0000.295
기준일자0.2951.000
2023-12-11T07:46:04.611463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번병실병상행정동기준일자
순번1.000-0.232-0.2840.2250.912
병실-0.2321.0000.9380.0910.000
병상-0.2840.9381.0000.1600.000
행정동0.2250.0910.1601.0000.295
기준일자0.9120.0000.0000.2951.000

Missing values

2023-12-11T07:46:02.117912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:46:02.206096image/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

순번의료기관명소재지행정동병실병상기준일자
01제일병원진주시 진주대로 885(강남동)천전동1142772013-11-30
12고려병원진주시 동진로 2(칠암동)천전동652472013-11-30
23경상대학병원진주시 강남로 79(칠암동)천전동2008892013-11-30
34가야자모병원진주시 진주대로 869(주약동)천전동35592013-11-30
45한일병원진주시 대신로 120(상평동)상평동642062013-11-30
56의료법인자혜의료재단진주복음병원진주시 진양호로 370(신안동)신안동501532013-11-30
67반도병원진주시 남강로 701(장대동)중앙동651752013-11-30
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순번의료기관명소재지행정동병실병상기준일자
103104고운아이소아청소년과의원진주시 평거로13번길 23, 2,3층 (평거동)평거동18292019-12-31
104105미즈여성의원진주시 순환로 527, 9층 (평거동, 좋은메디칼빌딩)평거동6102019-12-31
105106라움의료소비자생활협동조합라움의원진주시 진양호로 227, 8층 (평거동, 로얄빌딩)평거동5172019-12-31
106107임종범이비인후과의원진주시 순환로 527, 7층 (평거동, 좋은메디칼빌딩)평거동112019-12-31
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108109성심메디컬의원진주시 서장대로213번길 5, 지하1,1~4층 (이현동)이현동21292019-12-31
109110아이비소아청소년과, 이비인후과의원진주시 향교로 3, 3층 303~305호(평안동)중앙동17282019-12-31
110111서울마취통증의학과의원진주시 진주대로 1192, 2층(봉곡동)성북동112019-12-31
111112하얀웰니스의원진주시 진주대로 1110, 5층(계동)성북동14292019-12-31
112113바로마디정형외과내과의원진주시 새평거로 129, 5.6.9층(평거동)평거동2902019-12-31