Overview

Dataset statistics

Number of variables5
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory47.3 B

Variable types

Categorical1
Numeric3
DateTime1

Dataset

Description인천광역시 남동구 월별 코로나19 사망자수 현황에 대한 데이터로 연도, 월, 사망자수, 누적사망자수, 데이터기준일 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15098752&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
사망자수 is highly overall correlated with 누적사망자수High correlation
누적사망자수 is highly overall correlated with 사망자수 and 1 other fieldsHigh correlation
연도 is highly overall correlated with 누적사망자수High correlation
사망자수 has 11 (27.5%) zerosZeros
누적사망자수 has 11 (27.5%) zerosZeros

Reproduction

Analysis started2024-01-28 14:58:35.540455
Analysis finished2024-01-28 14:58:36.437104
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2021
12 
2022
12 
2020
11 
2023
5 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2021 12
30.0%
2022 12
30.0%
2020 11
27.5%
2023 5
12.5%

Length

2024-01-28T23:58:36.501932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:58:36.589515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 12
30.0%
2022 12
30.0%
2020 11
27.5%
2023 5
12.5%

월
Real number (ℝ)

Distinct12
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T23:58:36.679591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.458175
Coefficient of variation (CV)0.55777016
Kurtosis-1.1980996
Mean6.2
Median Absolute Deviation (MAD)3
Skewness0.17480197
Sum248
Variance11.958974
MonotonicityNot monotonic
2024-01-28T23:58:36.769533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 4
10.0%
3 4
10.0%
4 4
10.0%
5 4
10.0%
6 3
7.5%
7 3
7.5%
8 3
7.5%
9 3
7.5%
10 3
7.5%
11 3
7.5%
Other values (2) 6
15.0%
ValueCountFrequency (%)
1 3
7.5%
2 4
10.0%
3 4
10.0%
4 4
10.0%
5 4
10.0%
6 3
7.5%
7 3
7.5%
8 3
7.5%
9 3
7.5%
10 3
7.5%
ValueCountFrequency (%)
12 3
7.5%
11 3
7.5%
10 3
7.5%
9 3
7.5%
8 3
7.5%
7 3
7.5%
6 3
7.5%
5 4
10.0%
4 4
10.0%
3 4
10.0%

사망자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.125
Minimum0
Maximum110
Zeros11
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T23:58:36.857678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q313
95-th percentile27.55
Maximum110
Range110
Interquartile range (IQR)13

Descriptive statistics

Standard deviation19.641906
Coefficient of variation (CV)1.9399414
Kurtosis17.784324
Mean10.125
Median Absolute Deviation (MAD)3
Skewness3.8931142
Sum405
Variance385.80449
MonotonicityNot monotonic
2024-01-28T23:58:36.947686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 11
27.5%
2 5
12.5%
5 4
 
10.0%
1 3
 
7.5%
3 2
 
5.0%
7 2
 
5.0%
13 2
 
5.0%
23 1
 
2.5%
26 1
 
2.5%
16 1
 
2.5%
Other values (8) 8
20.0%
ValueCountFrequency (%)
0 11
27.5%
1 3
 
7.5%
2 5
12.5%
3 2
 
5.0%
4 1
 
2.5%
5 4
 
10.0%
7 2
 
5.0%
11 1
 
2.5%
13 2
 
5.0%
14 1
 
2.5%
ValueCountFrequency (%)
110 1
2.5%
57 1
2.5%
26 1
2.5%
25 1
2.5%
23 1
2.5%
21 1
2.5%
19 1
2.5%
16 1
2.5%
14 1
2.5%
13 2
5.0%

누적사망자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.4
Minimum0
Maximum405
Zeros11
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T23:58:37.046130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median27.5
Q3293.75
95-th percentile398.1
Maximum405
Range405
Interquartile range (IQR)293.75

Descriptive statistics

Standard deviation160.02673
Coefficient of variation (CV)1.1818813
Kurtosis-1.4406566
Mean135.4
Median Absolute Deviation (MAD)27.5
Skewness0.62664501
Sum5416
Variance25608.554
MonotonicityNot monotonic
2024-01-28T23:58:37.154635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 11
27.5%
270 1
 
2.5%
405 1
 
2.5%
400 1
 
2.5%
398 1
 
2.5%
396 1
 
2.5%
389 1
 
2.5%
366 1
 
2.5%
340 1
 
2.5%
324 1
 
2.5%
Other values (20) 20
50.0%
ValueCountFrequency (%)
0 11
27.5%
1 1
 
2.5%
2 1
 
2.5%
4 1
 
2.5%
6 1
 
2.5%
13 1
 
2.5%
15 1
 
2.5%
16 1
 
2.5%
20 1
 
2.5%
25 1
 
2.5%
ValueCountFrequency (%)
405 1
2.5%
400 1
2.5%
398 1
2.5%
396 1
2.5%
389 1
2.5%
366 1
2.5%
340 1
2.5%
324 1
2.5%
319 1
2.5%
308 1
2.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2023-05-31 00:00:00
Maximum2023-05-31 00:00:00
2024-01-28T23:58:37.246428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:58:37.319583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T23:58:36.079985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:58:35.658708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:58:35.864745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:58:36.156352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:58:35.719638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:58:35.929687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:58:36.225367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:58:35.785065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:58:35.998409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T23:58:37.392694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월사망자수누적사망자수
연도1.0000.0000.3710.959
월0.0001.0000.0000.000
사망자수0.3710.0001.0000.849
누적사망자수0.9590.0000.8491.000
2024-01-28T23:58:37.489234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월사망자수누적사망자수연도
월1.0000.0780.0180.000
사망자수0.0781.0000.7590.244
누적사망자수0.0180.7591.0000.689
연도0.0000.2440.6891.000

Missing values

2024-01-28T23:58:36.326027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T23:58:36.405185image/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

연도월사망자수누적사망자수데이터기준일
020202002023-05-31
120203002023-05-31
220204002023-05-31
320205002023-05-31
420206112023-05-31
520207002023-05-31
620208002023-05-31
720209122023-05-31
8202010242023-05-31
9202011002023-05-31
연도월사망자수누적사망자수데이터기준일
3020228193082023-05-31
3120229113192023-05-31
3220221053242023-05-31
33202211163402023-05-31
34202212263662023-05-31
3520231233892023-05-31
362023273962023-05-31
372023323982023-05-31
382023424002023-05-31
392023554052023-05-31