Overview

Dataset statistics

Number of variables4
Number of observations79
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory35.7 B

Variable types

Numeric2
DateTime1
Categorical1

Dataset

Description2020년 광주광역시 서구 일자별 코로나 확진자 수에 대한 통계 정보로 확진일자, 확진자 수에 대한 정보를 제공합니다.
Author광주광역시 서구
URLhttps://www.data.go.kr/data/15123232/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
확진일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:54:26.143698
Analysis finished2023-12-12 22:54:26.756280
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40
Minimum1
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-13T07:54:26.831727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.9
Q120.5
median40
Q359.5
95-th percentile75.1
Maximum79
Range78
Interquartile range (IQR)39

Descriptive statistics

Standard deviation22.949219
Coefficient of variation (CV)0.57373048
Kurtosis-1.2
Mean40
Median Absolute Deviation (MAD)20
Skewness0
Sum3160
Variance526.66667
MonotonicityStrictly increasing
2023-12-13T07:54:26.999846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
2 1
 
1.3%
59 1
 
1.3%
58 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
Other values (69) 69
87.3%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
79 1
1.3%
78 1
1.3%
77 1
1.3%
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%

확진일자
Date

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2020-02-20 00:00:00
Maximum2020-12-31 00:00:00
2023-12-13T07:54:27.166790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:27.335761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

확진자수
Real number (ℝ)

Distinct7
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5443038
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-13T07:54:27.469288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5.1
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5258244
Coefficient of variation (CV)0.59970214
Kurtosis0.019495669
Mean2.5443038
Median Absolute Deviation (MAD)1
Skewness0.90248665
Sum201
Variance2.3281402
MonotonicityNot monotonic
2023-12-13T07:54:27.596462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 24
30.4%
2 24
30.4%
4 11
13.9%
3 10
12.7%
5 6
 
7.6%
6 3
 
3.8%
7 1
 
1.3%
ValueCountFrequency (%)
1 24
30.4%
2 24
30.4%
3 10
12.7%
4 11
13.9%
5 6
 
7.6%
6 3
 
3.8%
7 1
 
1.3%
ValueCountFrequency (%)
7 1
 
1.3%
6 3
 
3.8%
5 6
 
7.6%
4 11
13.9%
3 10
12.7%
2 24
30.4%
1 24
30.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-09-18
79 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-18
2nd row2023-09-18
3rd row2023-09-18
4th row2023-09-18
5th row2023-09-18

Common Values

ValueCountFrequency (%)
2023-09-18 79
100.0%

Length

2023-12-13T07:54:27.716904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:54:27.809655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-18 79
100.0%

Interactions

2023-12-13T07:54:26.435858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:26.241676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:26.526553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:26.337003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:54:27.867600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번확진일자확진자수
연번1.0001.0000.335
확진일자1.0001.0001.000
확진자수0.3351.0001.000
2023-12-13T07:54:27.949795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번확진자수
연번1.0000.357
확진자수0.3571.000

Missing values

2023-12-13T07:54:26.637330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:54:26.719300image/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

연번확진일자확진자수데이터기준일자
012020-02-2012023-09-18
122020-02-2412023-09-18
232020-03-0712023-09-18
342020-03-0812023-09-18
452020-06-2712023-09-18
562020-07-0112023-09-18
672020-07-0312023-09-18
782020-07-0532023-09-18
892020-07-0722023-09-18
9102020-07-0912023-09-18
연번확진일자확진자수데이터기준일자
69702020-12-2242023-09-18
70712020-12-2322023-09-18
71722020-12-2432023-09-18
72732020-12-2552023-09-18
73742020-12-2622023-09-18
74752020-12-2712023-09-18
75762020-12-2822023-09-18
76772020-12-2912023-09-18
77782020-12-3022023-09-18
78792020-12-3152023-09-18