Overview

Dataset statistics

Number of variables2
Number of observations73
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory18.8 B

Variable types

DateTime1
Numeric1

Dataset

Description인천광역시 동구 2020년 3월 19일 1번 확진자 부터 2021년 7월 29일 122번 확진자 까지의 일자별 확진자 수 현황 데이터입니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15084608

Alerts

확진일자 has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:25:24.378284
Analysis finished2024-01-28 08:25:24.645149
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

확진일자
Date

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum2020-03-19 00:00:00
Maximum2021-07-29 00:00:00
2024-01-28T17:25:24.704285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:25:24.801350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

확진인원
Real number (ℝ)

Distinct7
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6712329
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-01-28T17:25:24.889779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2589104
Coefficient of variation (CV)0.75328245
Kurtosis6.3325542
Mean1.6712329
Median Absolute Deviation (MAD)0
Skewness2.498894
Sum122
Variance1.5848554
MonotonicityNot monotonic
2024-01-28T17:25:24.965027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 47
64.4%
2 17
 
23.3%
3 3
 
4.1%
5 3
 
4.1%
6 1
 
1.4%
4 1
 
1.4%
7 1
 
1.4%
ValueCountFrequency (%)
1 47
64.4%
2 17
 
23.3%
3 3
 
4.1%
4 1
 
1.4%
5 3
 
4.1%
6 1
 
1.4%
7 1
 
1.4%
ValueCountFrequency (%)
7 1
 
1.4%
6 1
 
1.4%
5 3
 
4.1%
4 1
 
1.4%
3 3
 
4.1%
2 17
 
23.3%
1 47
64.4%

Interactions

2024-01-28T17:25:24.444812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:25:25.029229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
확진일자확진인원
확진일자1.0001.000
확진인원1.0001.000

Missing values

2024-01-28T17:25:24.557599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:25:24.618364image/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

확진일자확진인원
02020-03-192
12020-05-261
22020-06-131
32020-08-142
42020-08-152
52020-08-161
62020-08-172
72020-08-191
82020-08-231
92020-08-282
확진일자확진인원
632021-07-182
642021-07-192
652021-07-201
662021-07-215
672021-07-227
682021-07-231
692021-07-262
702021-07-271
712021-07-282
722021-07-292