Overview

Dataset statistics

Number of variables4
Number of observations510
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.6 KiB
Average record size in memory33.3 B

Variable types

DateTime1
Categorical2
Numeric1

Dataset

Description대전보훈병원에서 개방하는 월별 진료과별 퇴원환자 퇴원결과 현황 데이터로 월, 퇴원과, 퇴원결과, 건수가 포함된 데이터입니다.
URLhttps://www.data.go.kr/data/15116922/fileData.do

Reproduction

Analysis started2023-12-12 23:31:45.550325
Analysis finished2023-12-12 23:31:46.032269
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

월
Date

Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-13T08:31:46.080573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:31:46.182168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

퇴원과
Categorical

Distinct18
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
소화기내과
56 
정형외과
55 
혈액종양내과
47 
호흡기내과
44 
심장내과
43 
Other values (13)
265 

Length

Max length6
Median length5
Mean length4.3666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row재활의학과
2nd row호흡기내과
3rd row류마티스내과
4th row내분비내과
5th row내과

Common Values

ValueCountFrequency (%)
소화기내과 56
11.0%
정형외과 55
10.8%
혈액종양내과 47
 
9.2%
호흡기내과 44
 
8.6%
심장내과 43
 
8.4%
신경외과 30
 
5.9%
신장내과 27
 
5.3%
외과 26
 
5.1%
가정의학과 26
 
5.1%
내과 25
 
4.9%
Other values (8) 131
25.7%

Length

2023-12-13T08:31:46.334714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소화기내과 56
11.0%
정형외과 55
10.8%
혈액종양내과 47
 
9.2%
호흡기내과 44
 
8.6%
심장내과 43
 
8.4%
신경외과 30
 
5.9%
신장내과 27
 
5.3%
외과 26
 
5.1%
가정의학과 26
 
5.1%
내과 25
 
4.9%
Other values (8) 131
25.7%

퇴원결과
Categorical

Distinct8
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
호전
178 
경쾌
91 
불변(호전안됨)
84 
48시간 후 사망
63 
진단만실시
56 
Other values (3)
38 

Length

Max length9
Median length2
Mean length4.5058824
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경쾌
2nd row불변(호전안됨)
3rd row경쾌
4th row호전
5th row호전

Common Values

ValueCountFrequency (%)
호전 178
34.9%
경쾌 91
17.8%
불변(호전안됨) 84
16.5%
48시간 후 사망 63
 
12.4%
진단만실시 56
 
11.0%
치료안함 19
 
3.7%
48시간 전 사망 16
 
3.1%
가망없는 퇴원 3
 
0.6%

Length

2023-12-13T08:31:46.474492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:31:46.589369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
호전 178
26.5%
경쾌 91
13.6%
불변(호전안됨 84
12.5%
48시간 79
11.8%
사망 79
11.8%
후 63
 
9.4%
진단만실시 56
 
8.3%
치료안함 19
 
2.8%
전 16
 
2.4%
가망없는 3
 
0.4%

건수
Real number (ℝ)

Distinct58
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.57451
Minimum1
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-13T08:31:46.730681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q39
95-th percentile44.1
Maximum162
Range161
Interquartile range (IQR)8

Descriptive statistics

Standard deviation23.107363
Coefficient of variation (CV)2.1851947
Kurtosis23.22015
Mean10.57451
Median Absolute Deviation (MAD)2
Skewness4.5558232
Sum5393
Variance533.95023
MonotonicityNot monotonic
2023-12-13T08:31:46.923106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 177
34.7%
2 60
 
11.8%
3 41
 
8.0%
4 30
 
5.9%
5 21
 
4.1%
6 20
 
3.9%
7 18
 
3.5%
9 12
 
2.4%
8 11
 
2.2%
10 11
 
2.2%
Other values (48) 109
21.4%
ValueCountFrequency (%)
1 177
34.7%
2 60
 
11.8%
3 41
 
8.0%
4 30
 
5.9%
5 21
 
4.1%
6 20
 
3.9%
7 18
 
3.5%
8 11
 
2.2%
9 12
 
2.4%
10 11
 
2.2%
ValueCountFrequency (%)
162 1
0.2%
160 1
0.2%
156 1
0.2%
152 2
0.4%
146 1
0.2%
142 1
0.2%
138 1
0.2%
134 1
0.2%
123 1
0.2%
107 1
0.2%

Interactions

2023-12-13T08:31:45.725000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:31:47.023585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월퇴원과퇴원결과건수
월1.0000.0000.0000.000
퇴원과0.0001.0000.5390.629
퇴원결과0.0000.5391.0000.253
건수0.0000.6290.2531.000
2023-12-13T08:31:47.104313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
퇴원결과퇴원과
퇴원결과1.0000.258
퇴원과0.2581.000
2023-12-13T08:31:47.176022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수퇴원과퇴원결과
건수1.0000.2570.126
퇴원과0.2571.0000.258
퇴원결과0.1260.2581.000

Missing values

2023-12-13T08:31:45.888574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:31:45.998407image/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
02022-01재활의학과경쾌2
12022-01호흡기내과불변(호전안됨)7
22022-01류마티스내과경쾌1
32022-01내분비내과호전2
42022-01내과호전1
52022-02안과호전12
62022-02가정의학과경쾌1
72022-02내과호전2
82022-02류마티스내과호전4
92022-02소화기내과불변(호전안됨)1
월퇴원과퇴원결과건수
5002022-11혈액종양내과48시간 후 사망20
5012022-11신경과호전11
5022022-11신경외과진단만실시2
5032022-11신장내과48시간 전 사망1
5042022-11신경외과불변(호전안됨)1
5052022-12호흡기내과경쾌10
5062022-12안과호전22
5072022-12혈액종양내과불변(호전안됨)4
5082022-12외과치료안함1
5092022-12호흡기내과불변(호전안됨)1