Overview

Dataset statistics

Number of variables4
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory948.0 B
Average record size in memory39.5 B

Variable types

DateTime1
Categorical1
Numeric2

Dataset

Description한국원자력의학원 원자력병원 의료취약계층 후원연계실적(항목, 후원인원, 지원인원) 및 자원봉사자(병원학교) 현황에 관한 자료입니다.
Author한국원자력의학원
URLhttps://www.data.go.kr/data/15092421/fileData.do

Alerts

항목 has constant value ""Constant
후원인원(명) is highly overall correlated with 지원인원(명)High correlation
지원인원(명) is highly overall correlated with 후원인원(명)High correlation
지원연월 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:37:54.200183
Analysis finished2023-12-12 14:37:54.734893
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지원연월
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2021-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-12T23:37:54.786267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:55.010951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

항목
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
치료비
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row치료비
2nd row치료비
3rd row치료비
4th row치료비
5th row치료비

Common Values

ValueCountFrequency (%)
치료비 24
100.0%

Length

2023-12-12T23:37:55.208993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:55.332201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치료비 24
100.0%

후원인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.25
Minimum3
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T23:37:55.448462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q18
median12.5
Q320.25
95-th percentile34.65
Maximum41
Range38
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation9.9967386
Coefficient of variation (CV)0.65552384
Kurtosis0.78538014
Mean15.25
Median Absolute Deviation (MAD)4.5
Skewness1.0536037
Sum366
Variance99.934783
MonotonicityNot monotonic
2023-12-12T23:37:55.580865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
10 3
12.5%
8 3
12.5%
4 3
12.5%
24 2
 
8.3%
17 2
 
8.3%
12 2
 
8.3%
41 1
 
4.2%
27 1
 
4.2%
16 1
 
4.2%
36 1
 
4.2%
Other values (5) 5
20.8%
ValueCountFrequency (%)
3 1
 
4.2%
4 3
12.5%
8 3
12.5%
10 3
12.5%
12 2
8.3%
13 1
 
4.2%
14 1
 
4.2%
16 1
 
4.2%
17 2
8.3%
19 1
 
4.2%
ValueCountFrequency (%)
41 1
4.2%
36 1
4.2%
27 1
4.2%
25 1
4.2%
24 2
8.3%
19 1
4.2%
17 2
8.3%
16 1
4.2%
14 1
4.2%
13 1
4.2%

지원인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.833333
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T23:37:55.719596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q17.75
median10.5
Q318.75
95-th percentile29.55
Maximum35
Range32
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.8792218
Coefficient of variation (CV)0.64187146
Kurtosis-0.023935085
Mean13.833333
Median Absolute Deviation (MAD)5.5
Skewness0.81364474
Sum332
Variance78.84058
MonotonicityNot monotonic
2023-12-12T23:37:55.857064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
10 4
16.7%
16 3
12.5%
3 3
12.5%
7 2
 
8.3%
8 2
 
8.3%
30 1
 
4.2%
21 1
 
4.2%
27 1
 
4.2%
35 1
 
4.2%
24 1
 
4.2%
Other values (5) 5
20.8%
ValueCountFrequency (%)
3 3
12.5%
4 1
 
4.2%
7 2
8.3%
8 2
8.3%
10 4
16.7%
11 1
 
4.2%
13 1
 
4.2%
16 3
12.5%
18 1
 
4.2%
21 1
 
4.2%
ValueCountFrequency (%)
35 1
 
4.2%
30 1
 
4.2%
27 1
 
4.2%
24 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
18 1
 
4.2%
16 3
12.5%
13 1
 
4.2%
11 1
 
4.2%

Interactions

2023-12-12T23:37:54.428250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:54.273679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:54.504867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:37:54.351809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:37:55.962476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지원연월후원인원(명)지원인원(명)
지원연월1.0001.0001.000
후원인원(명)1.0001.0000.953
지원인원(명)1.0000.9531.000
2023-12-12T23:37:56.069113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
후원인원(명)지원인원(명)
후원인원(명)1.0000.980
지원인원(명)0.9801.000

Missing values

2023-12-12T23:37:54.620038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:37:54.703184image/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

지원연월항목후원인원(명)지원인원(명)
02021-01치료비4130
12021-02치료비2421
22021-03치료비2727
32021-04치료비1616
42021-05치료비3635
52021-06치료비2524
62021-07치료비2422
72021-08치료비1716
82021-09치료비107
92021-10치료비1211
지원연월항목후원인원(명)지원인원(명)
142022-03치료비1210
152022-04치료비1313
162022-05치료비1716
172022-06치료비33
182022-07치료비88
192022-08치료비1010
202022-09치료비88
212022-10치료비1010
222022-11치료비1918
232022-12치료비1410