Overview

Dataset statistics

Number of variables3
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory28.5 B

Variable types

DateTime1
Numeric1
Categorical1

Dataset

Description경상남도 의령군의 코로나19 확진자수를 제공하는 데이터 입니다. 2020년 1월부터 2023년 2월까지 월별 코로나 확진자 수를 제공합니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15099691

Alerts

데이터기준일 has constant value ""Constant
연월 has unique valuesUnique
확진자수 has 11 (28.9%) zerosZeros

Reproduction

Analysis started2024-04-06 08:04:16.384085
Analysis finished2024-04-06 08:04:16.939666
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연월
Date

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2020-01-01 00:00:00
Maximum2023-02-01 00:00:00
2024-04-06T17:04:17.072468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:17.341925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

확진자수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean246.55263
Minimum0
Maximum3354
Zeros11
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T17:04:17.571871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q3283.5
95-th percentile818.8
Maximum3354
Range3354
Interquartile range (IQR)283.5

Descriptive statistics

Standard deviation602.71147
Coefficient of variation (CV)2.444555
Kurtosis19.892834
Mean246.55263
Median Absolute Deviation (MAD)3.5
Skewness4.1665259
Sum9369
Variance363261.12
MonotonicityNot monotonic
2024-04-06T17:04:17.798862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 11
28.9%
1 5
13.2%
4 2
 
5.3%
3 2
 
5.3%
93 1
 
2.6%
127 1
 
2.6%
383 1
 
2.6%
683 1
 
2.6%
447 1
 
2.6%
264 1
 
2.6%
Other values (12) 12
31.6%
ValueCountFrequency (%)
0 11
28.9%
1 5
13.2%
2 1
 
2.6%
3 2
 
5.3%
4 2
 
5.3%
5 1
 
2.6%
10 1
 
2.6%
26 1
 
2.6%
32 1
 
2.6%
93 1
 
2.6%
ValueCountFrequency (%)
3354 1
2.6%
1526 1
2.6%
694 1
2.6%
683 1
2.6%
606 1
2.6%
448 1
2.6%
447 1
2.6%
383 1
2.6%
360 1
2.6%
290 1
2.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-22
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-22
2nd row2024-03-22
3rd row2024-03-22
4th row2024-03-22
5th row2024-03-22

Common Values

ValueCountFrequency (%)
2024-03-22 38
100.0%

Length

2024-04-06T17:04:18.075413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:04:18.284099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-22 38
100.0%

Interactions

2024-04-06T17:04:16.504762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:04:18.394255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연월확진자수
연월1.0001.000
확진자수1.0001.000

Missing values

2024-04-06T17:04:16.747059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:04:16.886417image/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

연월확진자수데이터기준일
02020-01-0102024-03-22
12020-02-0102024-03-22
22020-03-0102024-03-22
32020-04-0102024-03-22
42020-05-0102024-03-22
52020-06-0102024-03-22
62020-07-0112024-03-22
72020-08-0102024-03-22
82020-09-0122024-03-22
92020-10-0102024-03-22
연월확진자수데이터기준일
282022-05-013602024-03-22
292022-06-01932024-03-22
302022-07-014482024-03-22
312022-08-0115262024-03-22
322022-09-016942024-03-22
332022-10-012642024-03-22
342022-11-014472024-03-22
352022-12-016832024-03-22
362023-01-013832024-03-22
372023-02-011272024-03-22