Overview

Dataset statistics

Number of variables4
Number of observations466
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.1 KiB
Average record size in memory33.3 B

Variable types

Categorical3
Numeric1

Dataset

Description부산보훈병원에서 개방하는 월별 진료과별 퇴원환자 퇴원결과 현황데이터로 월, 퇴원과, 퇴원결과, 건수가 포함된 데이터입니다.
URLhttps://www.data.go.kr/data/15116631/fileData.do

Reproduction

Analysis started2023-12-12 19:53:25.562112
Analysis finished2023-12-12 19:53:25.985416
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

월
Categorical

Distinct12
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2022-04
44 
2022-11
42 
2022-02
41 
2022-08
41 
2022-10
41 
Other values (7)
257 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-01
2nd row2022-01
3rd row2022-01
4th row2022-01
5th row2022-01

Common Values

ValueCountFrequency (%)
2022-04 44
9.4%
2022-11 42
9.0%
2022-02 41
8.8%
2022-08 41
8.8%
2022-10 41
8.8%
2022-12 41
8.8%
2022-03 39
8.4%
2022-06 38
8.2%
2022-01 37
7.9%
2022-05 36
7.7%
Other values (2) 66
14.2%

Length

2023-12-13T04:53:26.041599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-04 44
9.4%
2022-11 42
9.0%
2022-02 41
8.8%
2022-08 41
8.8%
2022-10 41
8.8%
2022-12 41
8.8%
2022-03 39
8.4%
2022-06 38
8.2%
2022-01 37
7.9%
2022-05 36
7.7%
Other values (2) 66
14.2%

퇴원과
Categorical

Distinct17
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
호흡기내과
59 
소화기내과
57 
신경외과
48 
순환기내과
47 
비뇨의학과
44 
Other values (12)
211 

Length

Max length6
Median length5
Mean length4.5965665
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row외과
2nd row호흡기내과
3rd row재활의학과
4th row순환기내과
5th row신장내과

Common Values

ValueCountFrequency (%)
호흡기내과 59
12.7%
소화기내과 57
12.2%
신경외과 48
10.3%
순환기내과 47
10.1%
비뇨의학과 44
9.4%
정형외과 35
7.5%
혈액종양내과 31
6.7%
외과 30
6.4%
재활의학과 29
6.2%
가정의학과 27
5.8%
Other values (7) 59
12.7%

Length

2023-12-13T04:53:26.165262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
호흡기내과 59
12.7%
소화기내과 57
12.2%
신경외과 48
10.3%
순환기내과 47
10.1%
비뇨의학과 44
9.4%
정형외과 35
7.5%
혈액종양내과 31
6.7%
외과 30
6.4%
재활의학과 29
6.2%
가정의학과 27
5.8%
Other values (7) 59
12.7%

퇴원결과
Categorical

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
호전
151 
경쾌
85 
불변(호전안됨)
76 
48시간 후 사망
52 
진단만실시
50 
Other values (3)
52 

Length

Max length9
Median length2
Mean length4.3969957
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row경쾌
2nd row불변(호전안됨)
3rd row경쾌
4th row48시간 후 사망
5th row경쾌

Common Values

ValueCountFrequency (%)
호전 151
32.4%
경쾌 85
18.2%
불변(호전안됨) 76
16.3%
48시간 후 사망 52
 
11.2%
진단만실시 50
 
10.7%
치료안함 43
 
9.2%
48시간 전 사망 8
 
1.7%
가망없는 퇴원 1
 
0.2%

Length

2023-12-13T04:53:26.298515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:53:26.433361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
호전 151
25.7%
경쾌 85
14.5%
불변(호전안됨 76
12.9%
48시간 60
 
10.2%
사망 60
 
10.2%
후 52
 
8.9%
진단만실시 50
 
8.5%
치료안함 43
 
7.3%
전 8
 
1.4%
가망없는 1
 
0.2%

건수
Real number (ℝ)

Distinct61
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.465665
Minimum1
Maximum216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T04:53:26.570947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q38
95-th percentile64.5
Maximum216
Range215
Interquartile range (IQR)7

Descriptive statistics

Standard deviation23.167179
Coefficient of variation (CV)2.02057
Kurtosis18.903736
Mean11.465665
Median Absolute Deviation (MAD)2
Skewness3.7673599
Sum5343
Variance536.71817
MonotonicityNot monotonic
2023-12-13T04:53:26.719076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 151
32.4%
2 71
15.2%
3 41
 
8.8%
4 26
 
5.6%
5 19
 
4.1%
6 19
 
4.1%
7 14
 
3.0%
8 10
 
2.1%
10 9
 
1.9%
13 7
 
1.5%
Other values (51) 99
21.2%
ValueCountFrequency (%)
1 151
32.4%
2 71
15.2%
3 41
 
8.8%
4 26
 
5.6%
5 19
 
4.1%
6 19
 
4.1%
7 14
 
3.0%
8 10
 
2.1%
9 6
 
1.3%
10 9
 
1.9%
ValueCountFrequency (%)
216 1
0.2%
144 1
0.2%
111 1
0.2%
107 2
0.4%
101 1
0.2%
100 1
0.2%
97 1
0.2%
93 1
0.2%
89 2
0.4%
84 1
0.2%

Interactions

2023-12-13T04:53:25.753951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:53:26.833062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월퇴원과퇴원결과건수
월1.0000.0000.0000.000
퇴원과0.0001.0000.4170.319
퇴원결과0.0000.4171.0000.427
건수0.0000.3190.4271.000
2023-12-13T04:53:26.961928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
퇴원과퇴원결과월
퇴원과1.0000.1870.000
퇴원결과0.1871.0000.000
월0.0000.0001.000
2023-12-13T04:53:27.073509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수월퇴원과퇴원결과
건수1.0000.0000.1380.155
월0.0001.0000.0000.000
퇴원과0.1380.0001.0000.187
퇴원결과0.1550.0000.1871.000

Missing values

2023-12-13T04:53:25.867244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:53:25.951591image/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

월퇴원과퇴원결과건수
02022-01외과경쾌11
12022-01호흡기내과불변(호전안됨)4
22022-01재활의학과경쾌1
32022-01순환기내과48시간 후 사망1
42022-01신장내과경쾌1
52022-02소화기내과불변(호전안됨)5
62022-02외과경쾌3
72022-02호흡기내과진단만실시1
82022-03호흡기내과호전216
92022-03호흡기내과48시간 후 사망8
월퇴원과퇴원결과건수
4562022-10재활의학과호전3
4572022-10호흡기내과불변(호전안됨)2
4582022-10소화기내과불변(호전안됨)2
4592022-10소화기내과진단만실시1
4602022-11신경외과불변(호전안됨)5
4612022-11외과경쾌7
4622022-11혈액종양내과48시간 후 사망1
4632022-11신경과호전3
4642022-12호흡기내과경쾌1
4652022-12호흡기내과불변(호전안됨)1