Overview

Dataset statistics

Number of variables2
Number of observations335
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory17.4 B

Variable types

DateTime1
Numeric1

Dataset

Description서울특별시에서 확진된 만5세 이하 코로나19 확진자 일별 현황으로 2021년 3월 1일부터 2022년 1월 31일까지의 자료입니다.
Author서울특별시
URLhttps://www.data.go.kr/data/15099153/fileData.do

Alerts

날짜 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:40:40.279467
Analysis finished2023-12-12 16:40:40.617200
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct335
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2021-03-01 00:00:00
Maximum2022-01-31 00:00:00
2023-12-13T01:40:40.683492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:40.796740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct88
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.865672
Minimum1
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T01:40:40.917761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median14
Q334
95-th percentile118.6
Maximum177
Range176
Interquartile range (IQR)29

Descriptive statistics

Standard deviation36.859701
Coefficient of variation (CV)1.276939
Kurtosis3.1696257
Mean28.865672
Median Absolute Deviation (MAD)10
Skewness1.9599607
Sum9670
Variance1358.6376
MonotonicityNot monotonic
2023-12-13T01:40:41.028813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 27
 
8.1%
3 26
 
7.8%
2 14
 
4.2%
5 13
 
3.9%
6 12
 
3.6%
1 12
 
3.6%
8 11
 
3.3%
7 11
 
3.3%
17 9
 
2.7%
10 8
 
2.4%
Other values (78) 192
57.3%
ValueCountFrequency (%)
1 12
3.6%
2 14
4.2%
3 26
7.8%
4 27
8.1%
5 13
3.9%
6 12
3.6%
7 11
3.3%
8 11
3.3%
9 4
 
1.2%
10 8
 
2.4%
ValueCountFrequency (%)
177 1
0.3%
167 1
0.3%
156 1
0.3%
153 1
0.3%
152 1
0.3%
144 1
0.3%
142 1
0.3%
139 1
0.3%
136 1
0.3%
135 2
0.6%

Interactions

2023-12-13T01:40:40.316389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T01:40:40.497124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:40:40.586546image/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

날짜만5세 이하 코로나19 확진자 수(명)
02021-03-016
12021-03-027
22021-03-032
32021-03-041
42021-03-051
52021-03-062
62021-03-073
72021-03-083
82021-03-094
92021-03-104
날짜만5세 이하 코로나19 확진자 수(명)
3252022-01-2261
3262022-01-2363
3272022-01-2482
3282022-01-25135
3292022-01-26120
3302022-01-27115
3312022-01-28126
3322022-01-29144
3332022-01-30153
3342022-01-31177