Overview

Dataset statistics

Number of variables2
Number of observations204
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory17.6 B

Variable types

DateTime1
Numeric1

Dataset

Description코로나19 검사건수
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15064118&srcSe=7661IVAWM27C61E190

Alerts

날짜 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:40:48.344870
Analysis finished2024-03-18 04:40:48.547443
Duration0.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct204
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2020-02-08 00:00:00
Maximum2020-08-29 00:00:00
2024-03-18T13:40:48.718470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:40:48.846098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

검사자 수
Real number (ℝ)

Distinct187
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean707.72549
Minimum14
Maximum4376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-18T13:40:48.964855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile50
Q1401
median551.5
Q3816.25
95-th percentile1694.05
Maximum4376
Range4362
Interquartile range (IQR)415.25

Descriptive statistics

Standard deviation582.93278
Coefficient of variation (CV)0.82367074
Kurtosis11.150415
Mean707.72549
Median Absolute Deviation (MAD)201
Skewness2.6995374
Sum144376
Variance339810.62
MonotonicityNot monotonic
2024-03-18T13:40:49.077141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461 3
 
1.5%
699 2
 
1.0%
551 2
 
1.0%
1021 2
 
1.0%
743 2
 
1.0%
336 2
 
1.0%
633 2
 
1.0%
539 2
 
1.0%
373 2
 
1.0%
449 2
 
1.0%
Other values (177) 183
89.7%
ValueCountFrequency (%)
14 1
0.5%
18 2
1.0%
19 1
0.5%
22 2
1.0%
31 1
0.5%
32 1
0.5%
38 1
0.5%
44 1
0.5%
47 1
0.5%
67 1
0.5%
ValueCountFrequency (%)
4376 1
0.5%
3619 1
0.5%
2997 1
0.5%
2738 1
0.5%
2108 1
0.5%
2094 1
0.5%
1933 1
0.5%
1852 1
0.5%
1847 1
0.5%
1846 1
0.5%

Interactions

2024-03-18T13:40:48.379578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-18T13:40:48.467995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:40:48.521577image/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

날짜검사자 수
02020-02-0814
12020-02-0918
22020-02-1018
32020-02-1119
42020-02-1247
52020-02-1331
62020-02-1422
72020-02-1544
82020-02-1622
92020-02-1732
날짜검사자 수
1942020-08-20951
1952020-08-211699
1962020-08-221852
1972020-08-231387
1982020-08-241057
1992020-08-251485
2002020-08-261579
2012020-08-271386
2022020-08-281378
2032020-08-291239