Overview

Dataset statistics

Number of variables4
Number of observations411
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory34.3 B

Variable types

DateTime2
Numeric1
Categorical1

Dataset

Description전라북도 무주군의 코로나19 확진자 및 사망자 현황으로서, 확진 및 사망 일자, 확진자수, 사망자수, 데이터기준일자 항목으로 구성
URLhttps://www.data.go.kr/data/15098892/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
사망자 is highly imbalanced (81.1%)Imbalance
해당일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:32:22.975791
Analysis finished2023-12-12 17:32:23.280800
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해당일자
Date

UNIQUE 

Distinct411
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2020-08-30 00:00:00
Maximum2023-02-14 00:00:00
2023-12-13T02:32:23.362036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:32:23.532671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

확진자
Real number (ℝ)

Distinct101
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.562044
Minimum0
Maximum172
Zeros3
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-13T02:32:23.661601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median20
Q342
95-th percentile104
Maximum172
Range172
Interquartile range (IQR)37

Descriptive statistics

Standard deviation33.144295
Coefficient of variation (CV)1.0844921
Kurtosis2.8076902
Mean30.562044
Median Absolute Deviation (MAD)16
Skewness1.6753919
Sum12561
Variance1098.5443
MonotonicityNot monotonic
2023-12-13T02:32:23.771408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 32
 
7.8%
2 22
 
5.4%
4 20
 
4.9%
3 19
 
4.6%
7 15
 
3.6%
14 12
 
2.9%
8 9
 
2.2%
9 9
 
2.2%
11 8
 
1.9%
5 8
 
1.9%
Other values (91) 257
62.5%
ValueCountFrequency (%)
0 3
 
0.7%
1 32
7.8%
2 22
5.4%
3 19
4.6%
4 20
4.9%
5 8
 
1.9%
6 5
 
1.2%
7 15
3.6%
8 9
 
2.2%
9 9
 
2.2%
ValueCountFrequency (%)
172 1
0.2%
169 1
0.2%
162 1
0.2%
147 1
0.2%
139 1
0.2%
134 1
0.2%
127 2
0.5%
126 2
0.5%
123 1
0.2%
121 2
0.5%

사망자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
392 
1
 
16
2
 
3

Length

Max length4
Median length4
Mean length3.8613139
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 392
95.4%
1 16
 
3.9%
2 3
 
0.7%

Length

2023-12-13T02:32:23.879104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:32:23.963835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 392
95.4%
1 16
 
3.9%
2 3
 
0.7%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2023-03-07 00:00:00
Maximum2023-03-07 00:00:00
2023-12-13T02:32:24.035285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:32:24.103943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T02:32:23.055093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:32:24.162769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
확진자사망자
확진자1.0000.445
사망자0.4451.000
2023-12-13T02:32:24.225628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
확진자사망자
확진자1.0000.231
사망자0.2311.000

Missing values

2023-12-13T02:32:23.173790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:32:23.250852image/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

해당일자확진자사망자데이터 기준일자
02020-08-301<NA>2023-03-07
12021-02-101<NA>2023-03-07
22021-03-184<NA>2023-03-07
32021-03-201<NA>2023-03-07
42021-03-28012023-03-07
52021-04-141<NA>2023-03-07
62021-05-155<NA>2023-03-07
72021-05-193<NA>2023-03-07
82021-05-241<NA>2023-03-07
92021-07-091<NA>2023-03-07
해당일자확진자사망자데이터 기준일자
4012023-02-047<NA>2023-03-07
4022023-02-052<NA>2023-03-07
4032023-02-065<NA>2023-03-07
4042023-02-077<NA>2023-03-07
4052023-02-081<NA>2023-03-07
4062023-02-094<NA>2023-03-07
4072023-02-103<NA>2023-03-07
4082023-02-116<NA>2023-03-07
4092023-02-131<NA>2023-03-07
4102023-02-146<NA>2023-03-07