Overview

Dataset statistics

Number of variables3
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory704.0 B
Average record size in memory32.0 B

Variable types

DateTime1
Numeric1
Categorical1

Dataset

Description인천광역시 동구에서 발생한 코로나19관련 확진자 수, 사망자 수 현황으로, 최초발생한 2020년 3월 부터 2021년 12월 까지의 현황을 월별로 제공합니다.
Author인천광역시 동구
URLhttps://www.data.go.kr/data/15098638/fileData.do

Alerts

확진자수 is highly overall correlated with 사망자수High correlation
사망자수 is highly overall correlated with 확진자수High correlation
사망자수 is highly imbalanced (55.8%)Imbalance
발생월 has unique valuesUnique
확진자수 has 2 (9.1%) zerosZeros

Reproduction

Analysis started2023-12-12 17:00:55.272891
Analysis finished2023-12-12 17:00:55.642513
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생월
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2020-03-01 00:00:00
Maximum2021-12-01 00:00:00
2023-12-13T02:00:55.698454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:00:55.818756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

확진자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.636364
Minimum0
Maximum371
Zeros2
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T02:00:55.963157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q11.25
median6
Q332.75
95-th percentile116.8
Maximum371
Range371
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation80.38215
Coefficient of variation (CV)2.3207445
Kurtosis16.063864
Mean34.636364
Median Absolute Deviation (MAD)5
Skewness3.8563547
Sum762
Variance6461.29
MonotonicityNot monotonic
2023-12-13T02:00:56.101582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 4
18.2%
0 2
 
9.1%
3 2
 
9.1%
4 2
 
9.1%
9 2
 
9.1%
2 1
 
4.5%
11 1
 
4.5%
33 1
 
4.5%
8 1
 
4.5%
32 1
 
4.5%
Other values (5) 5
22.7%
ValueCountFrequency (%)
0 2
9.1%
1 4
18.2%
2 1
 
4.5%
3 2
9.1%
4 2
9.1%
8 1
 
4.5%
9 2
9.1%
11 1
 
4.5%
32 1
 
4.5%
33 1
 
4.5%
ValueCountFrequency (%)
371 1
4.5%
120 1
4.5%
56 1
4.5%
52 1
4.5%
41 1
4.5%
33 1
4.5%
32 1
4.5%
11 1
4.5%
9 2
9.1%
8 1
4.5%

사망자수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
19 
2
2 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 19
86.4%
2 2
 
9.1%
4 1
 
4.5%

Length

2023-12-13T02:00:56.245890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:00:56.359841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
86.4%
2 2
 
9.1%
4 1
 
4.5%

Interactions

2023-12-13T02:00:55.388709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:00:56.434108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발생월확진자수사망자수
발생월1.0001.0001.000
확진자수1.0001.0000.779
사망자수1.0000.7791.000
2023-12-13T02:00:56.523668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
확진자수사망자수
확진자수1.0000.812
사망자수0.8121.000

Missing values

2023-12-13T02:00:55.515329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:00:55.602366image/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

발생월확진자수사망자수
02020-0320
12020-0400
22020-0510
32020-0610
42020-0700
52020-08110
62020-0910
72020-1010
82020-1130
92020-12332
발생월확진자수사망자수
122021-0390
132021-0490
142021-0540
152021-0630
162021-07320
172021-08410
182021-09560
192021-10520
202021-111202
212021-123714