Overview

Dataset statistics

Number of variables3
Number of observations174
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory26.7 B

Variable types

Categorical1
Numeric2

Dataset

Description중앙보훈병원 요양병원의 입원환자 통계입니다. 중앙보훈병원 요양병원의 입원환자 통계를 재원일자, 병동, 인원으로 구분하여 제공합니다.
Author한국보훈복지의료공단
URLhttps://www.data.go.kr/data/15089787/fileData.do

Reproduction

Analysis started2024-03-14 11:35:45.941970
Analysis finished2024-03-14 11:35:47.785002
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재원일자
Categorical

Distinct29
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-02-01
 
6
2024-02-02
 
6
2024-02-03
 
6
2024-02-04
 
6
2024-02-05
 
6
Other values (24)
144 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-01
2nd row2024-02-01
3rd row2024-02-01
4th row2024-02-01
5th row2024-02-01

Common Values

ValueCountFrequency (%)
2024-02-01 6
 
3.4%
2024-02-02 6
 
3.4%
2024-02-03 6
 
3.4%
2024-02-04 6
 
3.4%
2024-02-05 6
 
3.4%
2024-02-06 6
 
3.4%
2024-02-07 6
 
3.4%
2024-02-08 6
 
3.4%
2024-02-09 6
 
3.4%
2024-02-10 6
 
3.4%
Other values (19) 114
65.5%

Length

2024-03-14T20:35:48.386065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-02-01 6
 
3.4%
2024-02-16 6
 
3.4%
2024-02-28 6
 
3.4%
2024-02-27 6
 
3.4%
2024-02-26 6
 
3.4%
2024-02-25 6
 
3.4%
2024-02-24 6
 
3.4%
2024-02-23 6
 
3.4%
2024-02-22 6
 
3.4%
2024-02-21 6
 
3.4%
Other values (19) 114
65.5%

병동
Real number (ℝ)

Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.333333
Minimum52
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-14T20:35:48.720264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile52
Q153
median62.5
Q373
95-th percentile83
Maximum83
Range31
Interquartile range (IQR)20

Descriptive statistics

Standard deviation10.919746
Coefficient of variation (CV)0.16973698
Kurtosis-1.0177446
Mean64.333333
Median Absolute Deviation (MAD)10
Skewness0.49600121
Sum11194
Variance119.24085
MonotonicityNot monotonic
2024-03-14T20:35:49.096453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
52 29
16.7%
53 29
16.7%
62 29
16.7%
63 29
16.7%
73 29
16.7%
83 29
16.7%
ValueCountFrequency (%)
52 29
16.7%
53 29
16.7%
62 29
16.7%
63 29
16.7%
73 29
16.7%
83 29
16.7%
ValueCountFrequency (%)
83 29
16.7%
73 29
16.7%
63 29
16.7%
62 29
16.7%
53 29
16.7%
52 29
16.7%

인원
Real number (ℝ)

Distinct16
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.137931
Minimum37
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-14T20:35:49.626477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile38
Q139
median63
Q366
95-th percentile69.35
Maximum70
Range33
Interquartile range (IQR)27

Descriptive statistics

Standard deviation12.82084
Coefficient of variation (CV)0.22838105
Kurtosis-1.5111902
Mean56.137931
Median Absolute Deviation (MAD)4
Skewness-0.59161018
Sum9768
Variance164.37393
MonotonicityNot monotonic
2024-03-14T20:35:50.103679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
39 34
19.5%
66 20
11.5%
65 20
11.5%
67 18
10.3%
38 16
9.2%
61 14
8.0%
70 9
 
5.2%
37 8
 
4.6%
64 8
 
4.6%
60 7
 
4.0%
Other values (6) 20
11.5%
ValueCountFrequency (%)
37 8
 
4.6%
38 16
9.2%
39 34
19.5%
56 1
 
0.6%
57 2
 
1.1%
59 2
 
1.1%
60 7
 
4.0%
61 14
8.0%
62 3
 
1.7%
64 8
 
4.6%
ValueCountFrequency (%)
70 9
5.2%
69 6
 
3.4%
68 6
 
3.4%
67 18
10.3%
66 20
11.5%
65 20
11.5%
64 8
 
4.6%
62 3
 
1.7%
61 14
8.0%
60 7
 
4.0%

Interactions

2024-03-14T20:35:46.634868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:35:46.076537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:35:46.959585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:35:46.352834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:35:50.394642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재원일자병동인원
재원일자1.0000.0000.000
병동0.0001.0000.812
인원0.0000.8121.000
2024-03-14T20:35:50.645254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병동인원재원일자
병동1.0000.3790.000
인원0.3791.0000.000
재원일자0.0000.0001.000

Missing values

2024-03-14T20:35:47.296398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:35:47.671430image/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

재원일자병동인원
02024-02-015238
12024-02-015367
22024-02-016239
32024-02-016366
42024-02-017361
52024-02-018367
62024-02-025238
72024-02-025367
82024-02-026239
92024-02-026366
재원일자병동인원
1642024-02-286237
1652024-02-286369
1662024-02-287357
1672024-02-288365
1682024-02-295239
1692024-02-295364
1702024-02-296237
1712024-02-296369
1722024-02-297356
1732024-02-298365