Overview

Dataset statistics

Number of variables2
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory591.0 B
Average record size in memory21.9 B

Variable types

DateTime1
Numeric1

Dataset

Description서울특별시 중랑구의 월별 사망자수 통계 입니다. 2020년1월부터 2022년 3월까지 사망자수 통계기록을 제공하고있습니다. 참고해주시기 바랍니다.
Author서울특별시 중랑구
URLhttps://www.data.go.kr/data/15099322/fileData.do

Alerts

날짜 has unique valuesUnique
사망자수 has 9 (33.3%) zerosZeros

Reproduction

Analysis started2023-12-12 21:41:41.934896
Analysis finished2023-12-12 21:41:42.251320
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2020-01-01 00:00:00
Maximum2022-03-01 00:00:00
2023-12-13T06:41:42.309867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:41:42.450217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

사망자수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.037037
Minimum0
Maximum16
Zeros9
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T06:41:42.561826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile13.7
Maximum16
Range16
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.8236715
Coefficient of variation (CV)1.1948544
Kurtosis0.43799463
Mean4.037037
Median Absolute Deviation (MAD)2
Skewness1.2168024
Sum109
Variance23.267806
MonotonicityNot monotonic
2023-12-13T06:41:42.654482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 9
33.3%
3 4
14.8%
6 3
 
11.1%
2 3
 
11.1%
1 2
 
7.4%
13 1
 
3.7%
16 1
 
3.7%
14 1
 
3.7%
11 1
 
3.7%
9 1
 
3.7%
ValueCountFrequency (%)
0 9
33.3%
1 2
 
7.4%
2 3
 
11.1%
3 4
14.8%
6 3
 
11.1%
8 1
 
3.7%
9 1
 
3.7%
11 1
 
3.7%
13 1
 
3.7%
14 1
 
3.7%
ValueCountFrequency (%)
16 1
 
3.7%
14 1
 
3.7%
13 1
 
3.7%
11 1
 
3.7%
9 1
 
3.7%
8 1
 
3.7%
6 3
11.1%
3 4
14.8%
2 3
11.1%
1 2
7.4%

Interactions

2023-12-13T06:41:41.988640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:41:42.725681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜사망자수
날짜1.0001.000
사망자수1.0001.000

Missing values

2023-12-13T06:41:42.139011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:41:42.225965image/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

날짜사망자수
02020-010
12020-021
22020-030
32020-040
42020-050
52020-060
62020-070
72020-083
82020-096
92020-100
날짜사망자수
172021-060
182021-073
192021-080
202021-0913
212021-1016
222021-1114
232021-1211
242022-019
252022-028
262022-031