Overview

Dataset statistics

Number of variables4
Number of observations612
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.4 KiB
Average record size in memory34.2 B

Variable types

Categorical2
DateTime1
Numeric1

Dataset

Description전북특별자치도 장수군의 코로나19 확진자 현황(시군명, 확진자 발생 연월일, 확진자, 사망자)에 대한 데이터 정보를 제공하고자 합니다
Author전북특별자치도 장수군
URLhttps://www.data.go.kr/data/15098841/fileData.do

Alerts

시군명 has constant value ""Constant
사망자 is highly imbalanced (88.0%)Imbalance
확진자 발생 연월일 has unique valuesUnique
확진자 has 62 (10.1%) zerosZeros

Reproduction

Analysis started2024-04-06 08:54:37.454902
Analysis finished2024-04-06 08:54:38.125604
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
전북특별자치도 장수군
612 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전북특별자치도 장수군
2nd row전북특별자치도 장수군
3rd row전북특별자치도 장수군
4th row전북특별자치도 장수군
5th row전북특별자치도 장수군

Common Values

ValueCountFrequency (%)
전북특별자치도 장수군 612
100.0%

Length

2024-04-06T17:54:38.277805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:38.466612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북특별자치도 612
50.0%
장수군 612
50.0%

확진자 발생 연월일
Date

UNIQUE 

Distinct612
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2020-04-03 00:00:00
Maximum2023-08-30 00:00:00
2024-04-06T17:54:38.680080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:54:39.086402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

확진자
Real number (ℝ)

ZEROS 

Distinct84
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.897059
Minimum0
Maximum175
Zeros62
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-06T17:54:39.486439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q321
95-th percentile64.35
Maximum175
Range175
Interquartile range (IQR)18

Descriptive statistics

Standard deviation24.394417
Coefficient of variation (CV)1.4437079
Kurtosis12.026957
Mean16.897059
Median Absolute Deviation (MAD)7
Skewness3.1257787
Sum10341
Variance595.08759
MonotonicityNot monotonic
2024-04-06T17:54:39.829316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
 
10.1%
1 43
 
7.0%
2 37
 
6.0%
5 34
 
5.6%
3 33
 
5.4%
4 29
 
4.7%
7 23
 
3.8%
6 22
 
3.6%
15 21
 
3.4%
8 21
 
3.4%
Other values (74) 287
46.9%
ValueCountFrequency (%)
0 62
10.1%
1 43
7.0%
2 37
6.0%
3 33
5.4%
4 29
4.7%
5 34
5.6%
6 22
 
3.6%
7 23
 
3.8%
8 21
 
3.4%
9 17
 
2.8%
ValueCountFrequency (%)
175 1
0.2%
165 1
0.2%
159 1
0.2%
149 1
0.2%
132 1
0.2%
126 1
0.2%
121 2
0.3%
120 1
0.2%
114 2
0.3%
103 1
0.2%

사망자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
0
602 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 602
98.4%
1 10
 
1.6%

Length

2024-04-06T17:54:40.108485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:40.314265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 602
98.4%
1 10
 
1.6%

Interactions

2024-04-06T17:54:37.643672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:54:40.436104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
확진자사망자
확진자1.0000.000
사망자0.0001.000
2024-04-06T17:54:40.652360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
확진자사망자
확진자1.0000.023
사망자0.0231.000

Missing values

2024-04-06T17:54:37.899389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:54:38.056469image/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

시군명확진자 발생 연월일확진자사망자
0전북특별자치도 장수군2020-04-0310
1전북특별자치도 장수군2021-05-0630
2전북특별자치도 장수군2021-05-0820
3전북특별자치도 장수군2021-05-0930
4전북특별자치도 장수군2021-05-1070
5전북특별자치도 장수군2021-05-11130
6전북특별자치도 장수군2021-05-1210
7전북특별자치도 장수군2021-05-1420
8전북특별자치도 장수군2021-05-1810
9전북특별자치도 장수군2021-05-2010
시군명확진자 발생 연월일확진자사망자
602전북특별자치도 장수군2023-08-2170
603전북특별자치도 장수군2023-08-22300
604전북특별자치도 장수군2023-08-23290
605전북특별자치도 장수군2023-08-24200
606전북특별자치도 장수군2023-08-25410
607전북특별자치도 장수군2023-08-26270
608전북특별자치도 장수군2023-08-2700
609전북특별자치도 장수군2023-08-2810
610전북특별자치도 장수군2023-08-29300
611전북특별자치도 장수군2023-08-30330