Overview

Dataset statistics

Number of variables2
Number of observations152
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory17.9 B

Variable types

DateTime1
Numeric1

Dataset

Description부산광역시동구_불법주정차단속월별통계_20230831
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15101574

Alerts

단속월 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:01:40.523695
Analysis finished2023-12-10 16:01:40.757581
Duration0.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단속월
Date

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2011-01-31 00:00:00
Maximum2023-08-31 00:00:00
2023-12-11T01:01:40.827971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:01:40.985118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속건수
Real number (ℝ)

Distinct147
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3284.1513
Minimum1339
Maximum5549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T01:01:41.158684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1339
5-th percentile2258.3
Q12827
median3253.5
Q33706.75
95-th percentile4509.75
Maximum5549
Range4210
Interquartile range (IQR)879.75

Descriptive statistics

Standard deviation707.4816
Coefficient of variation (CV)0.21542296
Kurtosis0.23399229
Mean3284.1513
Median Absolute Deviation (MAD)471
Skewness0.34086933
Sum499191
Variance500530.21
MonotonicityNot monotonic
2023-12-11T01:01:41.311548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3005 3
 
2.0%
2588 2
 
1.3%
3428 2
 
1.3%
3529 2
 
1.3%
4077 1
 
0.7%
3343 1
 
0.7%
4054 1
 
0.7%
4302 1
 
0.7%
4236 1
 
0.7%
4256 1
 
0.7%
Other values (137) 137
90.1%
ValueCountFrequency (%)
1339 1
0.7%
1896 1
0.7%
2029 1
0.7%
2034 1
0.7%
2072 1
0.7%
2093 1
0.7%
2172 1
0.7%
2255 1
0.7%
2261 1
0.7%
2273 1
0.7%
ValueCountFrequency (%)
5549 1
0.7%
5001 1
0.7%
4937 1
0.7%
4896 1
0.7%
4703 1
0.7%
4698 1
0.7%
4592 1
0.7%
4540 1
0.7%
4485 1
0.7%
4383 1
0.7%

Interactions

2023-12-11T01:01:40.560582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T01:01:40.660482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:01:40.731111image/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

단속월단속건수
02011-01-314077
12011-02-282734
22011-03-314059
32011-04-303657
42011-05-313945
52011-06-303933
62011-07-313529
72011-08-313894
82011-09-303251
92011-10-314130
단속월단속건수
1422022-11-302444
1432022-12-312571
1442023-01-312273
1452023-02-282936
1462023-03-313376
1472023-04-302961
1482023-05-313005
1492023-06-303291
1502023-07-313625
1512023-08-313944