Overview

Dataset statistics

Number of variables2
Number of observations290
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory17.5 B

Variable types

DateTime1
Numeric1

Dataset

Description부산광역시_도시공간정보시스템웹로그_일별접속자_20221017
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15081926

Alerts

접속일 has unique valuesUnique

Reproduction

Analysis started2024-03-13 13:17:35.840855
Analysis finished2024-03-13 13:17:36.071018
Duration0.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접속일
Date

UNIQUE 

Distinct290
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2022-01-01 00:00:00
Maximum2022-10-17 00:00:00
2024-03-13T22:17:36.137043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:17:36.266947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접속수
Real number (ℝ)

Distinct289
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51048.086
Minimum1813
Maximum126674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-03-13T22:17:36.421868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1813
5-th percentile6989.45
Q111274.5
median64988.5
Q374458
95-th percentile84201.8
Maximum126674
Range124861
Interquartile range (IQR)63183.5

Descriptive statistics

Standard deviation30627.463
Coefficient of variation (CV)0.59997279
Kurtosis-1.3606131
Mean51048.086
Median Absolute Deviation (MAD)13236.5
Skewness-0.45797709
Sum14803945
Variance9.3804147 × 108
MonotonicityNot monotonic
2024-03-13T22:17:36.553329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73476 2
 
0.7%
4947 1
 
0.3%
8956 1
 
0.3%
16699 1
 
0.3%
72225 1
 
0.3%
82910 1
 
0.3%
78033 1
 
0.3%
85024 1
 
0.3%
91321 1
 
0.3%
10780 1
 
0.3%
Other values (279) 279
96.2%
ValueCountFrequency (%)
1813 1
0.3%
3678 1
0.3%
4774 1
0.3%
4947 1
0.3%
5030 1
0.3%
5226 1
0.3%
5312 1
0.3%
5359 1
0.3%
5506 1
0.3%
5769 1
0.3%
ValueCountFrequency (%)
126674 1
0.3%
109726 1
0.3%
102123 1
0.3%
99557 1
0.3%
96737 1
0.3%
91321 1
0.3%
88446 1
0.3%
87344 1
0.3%
86805 1
0.3%
86408 1
0.3%

Interactions

2024-03-13T22:17:35.870999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-13T22:17:35.979980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:17:36.046393image/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

접속일접속수
02022-01-014947
12022-01-025359
22022-01-0375406
32022-01-0482445
42022-01-0577073
52022-01-0686199
62022-01-0766934
72022-01-088141
82022-01-098691
92022-01-1076858
접속일접속수
2802022-10-0810756
2812022-10-096549
2822022-10-1012202
2832022-10-1177397
2842022-10-1286408
2852022-10-1374747
2862022-10-1463963
2872022-10-1511927
2882022-10-167875
2892022-10-1758041