Overview

Dataset statistics

Number of variables4
Number of observations365
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.9 KiB
Average record size in memory33.4 B

Variable types

DateTime1
Numeric1
Categorical2

Dataset

Description이 데이터는 서울특별시 동작구에서 발생한 코로나19 확진자에 관한 데이터입니다. 이 데이터에는 2022년 한해 동안 확진자 수가 포함되어 있습니다.
Author서울특별시 동작구
URLhttps://www.data.go.kr/data/15126909/fileData.do

Alerts

관련부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant
일자 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:03:46.582916
Analysis finished2024-03-14 15:03:47.430451
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 00:00:00
2024-03-15T00:03:47.635148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:03:48.095156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

확진자수
Real number (ℝ)

Distinct310
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean587.44658
Minimum15
Maximum5942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-15T00:03:48.511897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile36
Q1155
median349
Q3659
95-th percentile2289.2
Maximum5942
Range5927
Interquartile range (IQR)504

Descriptive statistics

Standard deviation747.86394
Coefficient of variation (CV)1.2730757
Kurtosis10.651005
Mean587.44658
Median Absolute Deviation (MAD)242
Skewness2.8302993
Sum214418
Variance559300.47
MonotonicityNot monotonic
2024-03-15T00:03:48.942592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
383 3
 
0.8%
34 3
 
0.8%
529 3
 
0.8%
473 3
 
0.8%
46 3
 
0.8%
47 3
 
0.8%
35 2
 
0.5%
604 2
 
0.5%
455 2
 
0.5%
134 2
 
0.5%
Other values (300) 339
92.9%
ValueCountFrequency (%)
15 1
 
0.3%
20 2
0.5%
21 2
0.5%
24 1
 
0.3%
25 1
 
0.3%
26 2
0.5%
27 1
 
0.3%
29 1
 
0.3%
32 2
0.5%
34 3
0.8%
ValueCountFrequency (%)
5942 1
0.3%
4194 1
0.3%
3286 1
0.3%
3210 1
0.3%
3209 1
0.3%
3200 1
0.3%
3037 1
0.3%
3020 1
0.3%
3018 1
0.3%
2989 1
0.3%

관련부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
감염병관리과
365 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
감염병관리과 365
100.0%

Length

2024-03-15T00:03:49.280246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:03:49.450379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
감염병관리과 365
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2022-12-31
365 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 365
100.0%

Length

2024-03-15T00:03:49.626410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:03:49.799224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 365
100.0%

Interactions

2024-03-15T00:03:46.667568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T00:03:47.037071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:03:47.319653image/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

일자확진자수관련부서데이터기준일자
02022-01-0135감염병관리과2022-12-31
12022-01-0221감염병관리과2022-12-31
22022-01-0335감염병관리과2022-12-31
32022-01-0437감염병관리과2022-12-31
42022-01-0532감염병관리과2022-12-31
52022-01-0644감염병관리과2022-12-31
62022-01-0734감염병관리과2022-12-31
72022-01-0826감염병관리과2022-12-31
82022-01-0924감염병관리과2022-12-31
92022-01-1021감염병관리과2022-12-31
일자확진자수관련부서데이터기준일자
3552022-12-22512감염병관리과2022-12-31
3562022-12-23476감염병관리과2022-12-31
3572022-12-24438감염병관리과2022-12-31
3582022-12-25154감염병관리과2022-12-31
3592022-12-26707감염병관리과2022-12-31
3602022-12-27604감염병관리과2022-12-31
3612022-12-28528감염병관리과2022-12-31
3622022-12-29473감염병관리과2022-12-31
3632022-12-30450감염병관리과2022-12-31
3642022-12-31422감염병관리과2022-12-31