Overview

Dataset statistics

Number of variables2
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows13
Duplicate rows (%)15.3%
Total size in memory1.5 KiB
Average record size in memory18.6 B

Variable types

DateTime1
Numeric1

Dataset

Description울산광역시 승용차요일제 RFID 시스템 홈페이지 회원에 관한 데이터입니다. 방문일자별 접속자수의 내용을 포함합니다.
URLhttps://www.data.go.kr/data/15122207/fileData.do

Alerts

Dataset has 13 (15.3%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 04:38:07.861374
Analysis finished2023-12-12 04:38:08.186375
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct12
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2012-03-09 00:00:00
Maximum2017-07-06 00:00:00
2023-12-12T13:38:08.263685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:38:08.709043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

접속자수
Real number (ℝ)

Distinct39
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.023529
Minimum1
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T13:38:08.912657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median8
Q324
95-th percentile75
Maximum212
Range211
Interquartile range (IQR)21

Descriptive statistics

Standard deviation34.555331
Coefficient of variation (CV)1.6436503
Kurtosis13.962043
Mean21.023529
Median Absolute Deviation (MAD)7
Skewness3.4059818
Sum1787
Variance1194.0709
MonotonicityNot monotonic
2023-12-12T13:38:09.104542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 14
 
16.5%
3 8
 
9.4%
2 7
 
8.2%
4 4
 
4.7%
5 3
 
3.5%
6 3
 
3.5%
39 3
 
3.5%
24 3
 
3.5%
9 3
 
3.5%
7 2
 
2.4%
Other values (29) 35
41.2%
ValueCountFrequency (%)
1 14
16.5%
2 7
8.2%
3 8
9.4%
4 4
 
4.7%
5 3
 
3.5%
6 3
 
3.5%
7 2
 
2.4%
8 2
 
2.4%
9 3
 
3.5%
10 2
 
2.4%
ValueCountFrequency (%)
212 1
1.2%
162 1
1.2%
129 1
1.2%
79 1
1.2%
76 1
1.2%
71 1
1.2%
67 1
1.2%
63 1
1.2%
57 1
1.2%
52 1
1.2%

Interactions

2023-12-12T13:38:07.929517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:38:09.250617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문일자접속자수
방문일자1.0000.000
접속자수0.0001.000

Missing values

2023-12-12T13:38:08.056041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:38:08.145516image/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

방문일자접속자수
02012-03-09212
12012-03-0928
22012-03-0979
32012-03-096
42012-03-091
52012-03-1018
62012-03-1024
72012-03-1114
82012-03-1157
92012-03-104
방문일자접속자수
752012-03-0967
762012-03-0939
772012-03-09162
782012-03-1033
792012-03-104
802012-03-1010
812012-03-1113
822012-03-119
832012-03-125
842012-03-1214

Duplicate rows

Most frequently occurring

방문일자접속자수# duplicates
92012-03-1234
112012-03-1314
52012-03-1123
82012-03-1223
02012-03-09392
12012-03-1032
22012-03-1042
32012-03-10102
42012-03-10242
62012-03-1132