Overview

Dataset statistics

Number of variables4
Number of observations838
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.1 KiB
Average record size in memory33.2 B

Variable types

Categorical3
Numeric1

Dataset

Description중앙보훈병원에서 개방하는 월별 진료과별 퇴원환자 퇴원결과 현황데이터로 월, 진료과, 퇴원결과, 건수를 포함한 데이터입니다.
URLhttps://www.data.go.kr/data/15116606/fileData.do

Reproduction

Analysis started2023-12-12 22:52:23.074476
Analysis finished2023-12-12 22:52:23.554849
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

월
Categorical

Distinct12
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2022-10-22
80 
2022-05-22
75 
2022-03-22
74 
2022-09-22
73 
2022-12-22
71 
Other values (7)
465 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-01-22
2nd row2022-01-22
3rd row2022-01-22
4th row2022-01-22
5th row2022-01-22

Common Values

ValueCountFrequency (%)
2022-10-22 80
9.5%
2022-05-22 75
8.9%
2022-03-22 74
8.8%
2022-09-22 73
8.7%
2022-12-22 71
8.5%
2022-04-22 70
8.4%
2022-06-22 70
8.4%
2022-02-22 66
7.9%
2022-08-22 66
7.9%
2022-07-22 65
7.8%
Other values (2) 128
15.3%

Length

2023-12-13T07:52:23.650693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-10-22 80
9.5%
2022-05-22 75
8.9%
2022-03-22 74
8.8%
2022-09-22 73
8.7%
2022-12-22 71
8.5%
2022-04-22 70
8.4%
2022-06-22 70
8.4%
2022-02-22 66
7.9%
2022-08-22 66
7.9%
2022-07-22 65
7.8%
Other values (2) 128
15.3%

진료과
Categorical

Distinct27
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
순환기내과
61 
소화기내과
57 
호흡기내과
 
55
혈액종양내과
 
54
흉부외과
 
52
Other values (22)
559 

Length

Max length10
Median length8
Mean length4.8054893
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row감염병전담의학과
2nd row감염병전담의학과
3rd row감염병전담의학과
4th row내분비내과
5th row류마티스내과

Common Values

ValueCountFrequency (%)
순환기내과 61
 
7.3%
소화기내과 57
 
6.8%
호흡기내과 55
 
6.6%
혈액종양내과 54
 
6.4%
흉부외과 52
 
6.2%
외과 52
 
6.2%
신경외과 51
 
6.1%
비뇨의학과 46
 
5.5%
정형외과 41
 
4.9%
신장내과 41
 
4.9%
Other values (17) 328
39.1%

Length

2023-12-13T07:52:23.818048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
순환기내과 61
 
7.3%
소화기내과 57
 
6.8%
호흡기내과 55
 
6.6%
혈액종양내과 54
 
6.4%
흉부외과 52
 
6.2%
외과 52
 
6.2%
신경외과 51
 
6.1%
비뇨의학과 46
 
5.5%
정형외과 41
 
4.9%
신장내과 41
 
4.9%
Other values (17) 328
39.1%

퇴원결과
Categorical

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
호전
289 
48시간 전 사망
147 
치료안함
147 
불변(호전안됨)
103 
경쾌
93 
Other values (2)
59 

Length

Max length9
Median length8
Mean length4.6515513
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row48시간 전 사망
2nd row경쾌
3rd row호전
4th row호전
5th row48시간 전 사망

Common Values

ValueCountFrequency (%)
호전 289
34.5%
48시간 전 사망 147
17.5%
치료안함 147
17.5%
불변(호전안됨) 103
 
12.3%
경쾌 93
 
11.1%
가망없는 퇴원 52
 
6.2%
진단만실시 7
 
0.8%

Length

2023-12-13T07:52:23.967727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:52:24.127824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
호전 289
24.4%
48시간 147
12.4%
전 147
12.4%
사망 147
12.4%
치료안함 147
12.4%
불변(호전안됨 103
 
8.7%
경쾌 93
 
7.9%
가망없는 52
 
4.4%
퇴원 52
 
4.4%
진단만실시 7
 
0.6%

건수
Real number (ℝ)

Distinct116
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.896181
Minimum1
Maximum248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-13T07:52:24.283275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q317
95-th percentile96.15
Maximum248
Range247
Interquartile range (IQR)16

Descriptive statistics

Standard deviation32.761839
Coefficient of variation (CV)1.8306609
Kurtosis10.405189
Mean17.896181
Median Absolute Deviation (MAD)2
Skewness2.9812811
Sum14997
Variance1073.3381
MonotonicityNot monotonic
2023-12-13T07:52:24.480658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 218
26.0%
2 131
15.6%
3 76
 
9.1%
4 41
 
4.9%
5 32
 
3.8%
6 20
 
2.4%
7 19
 
2.3%
10 17
 
2.0%
8 16
 
1.9%
9 13
 
1.6%
Other values (106) 255
30.4%
ValueCountFrequency (%)
1 218
26.0%
2 131
15.6%
3 76
 
9.1%
4 41
 
4.9%
5 32
 
3.8%
6 20
 
2.4%
7 19
 
2.3%
8 16
 
1.9%
9 13
 
1.6%
10 17
 
2.0%
ValueCountFrequency (%)
248 1
0.1%
224 1
0.1%
192 1
0.1%
188 1
0.1%
180 1
0.1%
165 1
0.1%
163 1
0.1%
162 1
0.1%
154 1
0.1%
153 1
0.1%

Interactions

2023-12-13T07:52:23.266120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:52:24.591432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월진료과퇴원결과건수
월1.0000.0000.0000.000
진료과0.0001.0000.4510.591
퇴원결과0.0000.4511.0000.418
건수0.0000.5910.4181.000
2023-12-13T07:52:24.707896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월퇴원결과진료과
월1.0000.0000.000
퇴원결과0.0001.0000.203
진료과0.0000.2031.000
2023-12-13T07:52:24.804701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수월진료과퇴원결과
건수1.0000.0000.2360.235
월0.0001.0000.0000.000
진료과0.2360.0001.0000.203
퇴원결과0.2350.0000.2031.000

Missing values

2023-12-13T07:52:23.426924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:52:23.519206image/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

월진료과퇴원결과건수
02022-01-22감염병전담의학과48시간 전 사망4
12022-01-22감염병전담의학과경쾌3
22022-01-22감염병전담의학과호전192
32022-01-22내분비내과호전5
42022-01-22류마티스내과48시간 전 사망1
52022-01-22류마티스내과호전2
62022-01-22비뇨의학과가망없는 퇴원1
72022-01-22비뇨의학과불변(호전안됨)2
82022-01-22비뇨의학과치료안함2
92022-01-22비뇨의학과호전88
월진료과퇴원결과건수
8282022-12-22호스피스완화의료센터호전7
8292022-12-22호흡기내과48시간 전 사망17
8302022-12-22호흡기내과가망없는 퇴원2
8312022-12-22호흡기내과경쾌2
8322022-12-22호흡기내과치료안함11
8332022-12-22호흡기내과호전32
8342022-12-22흉부외과48시간 전 사망1
8352022-12-22흉부외과경쾌1
8362022-12-22흉부외과치료안함13
8372022-12-22흉부외과호전45