Overview

Dataset statistics

Number of variables4
Number of observations42
Missing cells21
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory38.1 B

Variable types

DateTime1
Numeric3

Dataset

Description신종코로나바이러스(covid-19) 월별 확진자 수(년, 월, 확진자 수, 누적 확진자 수) 현황입니다.관련한 자료는 매일 구청 홈페이지에 확진자에 대한 정보를 매일 업데이트 하고 있사오니 참고부탁드립니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15085743&srcSe=7661IVAWM27C61E190

Alerts

확진자 수 is highly overall correlated with 누적 확진자수 and 1 other fieldsHigh correlation
누적 확진자수 is highly overall correlated with 확진자 수High correlation
사망자수 is highly overall correlated with 확진자 수High correlation
사망자수 has 21 (50.0%) missing valuesMissing
날짜 has unique valuesUnique
누적 확진자수 has unique valuesUnique

Reproduction

Analysis started2024-01-28 07:52:54.383575
Analysis finished2024-01-28 07:52:55.304530
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2020-02-01 00:00:00
Maximum2023-07-01 00:00:00
2024-01-28T16:52:55.370379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:52:55.495099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

확진자 수
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6168.3571
Minimum1
Maximum91831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-01-28T16:52:55.610452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.25
Q169
median611
Q35444.75
95-th percentile26338.2
Maximum91831
Range91830
Interquartile range (IQR)5375.75

Descriptive statistics

Standard deviation15218.138
Coefficient of variation (CV)2.4671299
Kurtosis25.4151
Mean6168.3571
Median Absolute Deviation (MAD)607.5
Skewness4.7110878
Sum259071
Variance2.3159173 × 108
MonotonicityNot monotonic
2024-01-28T16:52:55.707217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
15 2
 
4.8%
1 1
 
2.4%
6561 1
 
2.4%
3578 1
 
2.4%
91831 1
 
2.4%
30234 1
 
2.4%
6176 1
 
2.4%
1787 1
 
2.4%
11479 1
 
2.4%
26795 1
 
2.4%
Other values (31) 31
73.8%
ValueCountFrequency (%)
1 1
2.4%
6 1
2.4%
7 1
2.4%
12 1
2.4%
15 2
4.8%
16 1
2.4%
17 1
2.4%
22 1
2.4%
58 1
2.4%
66 1
2.4%
ValueCountFrequency (%)
91831 1
2.4%
30234 1
2.4%
26795 1
2.4%
17659 1
2.4%
13073 1
2.4%
12078 1
2.4%
11479 1
2.4%
8611 1
2.4%
6561 1
2.4%
6176 1
2.4%

누적 확진자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82658.357
Minimum1
Maximum285719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-01-28T16:52:55.825804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.6
Q1357
median3266
Q3188410.5
95-th percentile249513.9
Maximum285719
Range285718
Interquartile range (IQR)188053.5

Descriptive statistics

Standard deviation104746.58
Coefficient of variation (CV)1.2672231
Kurtosis-1.3270828
Mean82658.357
Median Absolute Deviation (MAD)3247
Skewness0.67797783
Sum3471651
Variance1.0971846 × 1010
MonotonicityStrictly increasing
2024-01-28T16:52:55.933232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
197991 1
 
2.4%
11050 1
 
2.4%
102881 1
 
2.4%
133115 1
 
2.4%
139291 1
 
2.4%
141078 1
 
2.4%
152557 1
 
2.4%
179352 1
 
2.4%
191430 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
16 1
2.4%
22 1
2.4%
34 1
2.4%
50 1
2.4%
57 1
2.4%
79 1
2.4%
96 1
2.4%
111 1
2.4%
169 1
2.4%
ValueCountFrequency (%)
285719 1
2.4%
253252 1
2.4%
249730 1
2.4%
245408 1
2.4%
242206 1
2.4%
239700 1
2.4%
237334 1
2.4%
228723 1
2.4%
211064 1
2.4%
197991 1
2.4%

사망자수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)33.3%
Missing21
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean4.1428571
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-01-28T16:52:56.027946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum26
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.3224592
Coefficient of variation (CV)1.2847315
Kurtosis15.763201
Mean4.1428571
Median Absolute Deviation (MAD)1
Skewness3.7803409
Sum87
Variance28.328571
MonotonicityNot monotonic
2024-01-28T16:52:56.137638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 6
 
14.3%
1 4
 
9.5%
5 4
 
9.5%
3 3
 
7.1%
4 2
 
4.8%
26 1
 
2.4%
8 1
 
2.4%
(Missing) 21
50.0%
ValueCountFrequency (%)
1 4
9.5%
2 6
14.3%
3 3
7.1%
4 2
 
4.8%
5 4
9.5%
8 1
 
2.4%
26 1
 
2.4%
ValueCountFrequency (%)
26 1
 
2.4%
8 1
 
2.4%
5 4
9.5%
4 2
 
4.8%
3 3
7.1%
2 6
14.3%
1 4
9.5%

Interactions

2024-01-28T16:52:54.979459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:52:54.493769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:52:54.731775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:52:55.050893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:52:54.575306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:52:54.813804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:52:55.117392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:52:54.667188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T16:52:54.899163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T16:52:56.205955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜확진자 수누적 확진자수사망자수
날짜1.0001.0001.0001.000
확진자 수1.0001.0000.8160.829
누적 확진자수1.0000.8161.0000.780
사망자수1.0000.8290.7801.000
2024-01-28T16:52:56.282446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
확진자 수누적 확진자수사망자수
확진자 수1.0000.8730.687
누적 확진자수0.8731.0000.478
사망자수0.6870.4781.000

Missing values

2024-01-28T16:52:55.207360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:52:55.277122image/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

날짜확진자 수누적 확진자수사망자수
02020-0211<NA>
12020-031516<NA>
22020-04622<NA>
32020-051234<NA>
42020-061650<NA>
52020-07757<NA>
62020-0822791
72020-091796<NA>
82020-1015111<NA>
92020-1158169<NA>
날짜확진자 수누적 확진자수사망자수
322022-1065611979912
332022-11130732110642
342022-12176592287235
352023-0186112373345
362023-022366239700<NA>
372023-032506242206<NA>
382023-043202245408<NA>
392023-0543222497302
402023-063522253252<NA>
412023-075819285719<NA>