Overview

Dataset statistics

Number of variables3
Number of observations4932
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory120.5 KiB
Average record size in memory25.0 B

Variable types

DateTime1
Categorical1
Numeric1

Dataset

Description전국 코로나 확진자 증감 추이 통계 데이터 입니다. - 확진자 수: 누적 통계
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/187

Reproduction

Analysis started2023-12-11 20:05:58.414992
Analysis finished2023-12-11 20:05:58.830276
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct274
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size38.7 KiB
Minimum2020-03-02 00:00:00
Maximum2020-11-30 00:00:00
2023-12-12T05:05:58.911573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:05:59.054769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지역
Categorical

Distinct18
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size38.7 KiB
서울
 
274
부산
 
274
대구
 
274
인천
 
274
광주
 
274
Other values (13)
3562 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row부산
3rd row대구
4th row인천
5th row광주

Common Values

ValueCountFrequency (%)
서울 274
 
5.6%
부산 274
 
5.6%
대구 274
 
5.6%
인천 274
 
5.6%
광주 274
 
5.6%
대전 274
 
5.6%
울산 274
 
5.6%
세종 274
 
5.6%
경기 274
 
5.6%
강원 274
 
5.6%
Other values (8) 2192
44.4%

Length

2023-12-12T05:05:59.199124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 274
 
5.6%
부산 274
 
5.6%
제주 274
 
5.6%
경남 274
 
5.6%
경북 274
 
5.6%
전남 274
 
5.6%
전북 274
 
5.6%
충남 274
 
5.6%
충북 274
 
5.6%
강원 274
 
5.6%
Other values (8) 2192
44.4%

확진자수
Real number (ℝ)

Distinct1507
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean914.43187
Minimum0
Maximum8811
Zeros14
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size43.5 KiB
2023-12-12T05:05:59.350707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q153
median166
Q3682.25
95-th percentile6827
Maximum8811
Range8811
Interquartile range (IQR)629.25

Descriptive statistics

Standard deviation1806.3757
Coefficient of variation (CV)1.9754076
Kurtosis5.7436054
Mean914.43187
Median Absolute Deviation (MAD)139
Skewness2.6366052
Sum4509978
Variance3262993.1
MonotonicityNot monotonic
2023-12-12T05:05:59.508534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 64
 
1.3%
46 62
 
1.3%
15 60
 
1.2%
50 60
 
1.2%
20 56
 
1.1%
30 55
 
1.1%
45 51
 
1.0%
166 50
 
1.0%
39 49
 
1.0%
47 46
 
0.9%
Other values (1497) 4379
88.8%
ValueCountFrequency (%)
0 14
0.3%
1 5
 
0.1%
2 2
 
< 0.1%
3 4
 
0.1%
4 34
0.7%
5 6
 
0.1%
6 9
 
0.2%
7 17
0.3%
8 7
 
0.1%
9 17
0.3%
ValueCountFrequency (%)
8811 1
< 0.1%
8644 1
< 0.1%
8494 1
< 0.1%
8317 1
< 0.1%
8113 1
< 0.1%
7900 1
< 0.1%
7758 1
< 0.1%
7625 1
< 0.1%
7513 1
< 0.1%
7392 1
< 0.1%

Interactions

2023-12-12T05:05:58.549561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T05:05:59.596213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역확진자수
지역1.0000.782
확진자수0.7821.000
2023-12-12T05:05:59.687957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
확진자수지역
확진자수1.0000.442
지역0.4421.000

Missing values

2023-12-12T05:05:58.687514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T05:05:58.791186image/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

날짜지역확진자수
02020.03.02서울87
12020.03.02부산83
22020.03.02대구2704
32020.03.02인천6
42020.03.02광주9
52020.03.02대전13
62020.03.02울산20
72020.03.02세종1
82020.03.02경기89
92020.03.02강원15
날짜지역확진자수
49222020.11.30경기7277
49232020.11.30강원652
49242020.11.30충북327
49252020.11.30충남899
49262020.11.30전북334
49272020.11.30전남424
49282020.11.30경북1704
49292020.11.30경남625
49302020.11.30제주80
49312020.11.30검역2130