Overview

Dataset statistics

Number of variables5
Number of observations359
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 KiB
Average record size in memory44.4 B

Variable types

DateTime1
Numeric4

Dataset

Description경기도_화성시_대형폐기물 수거신청 홈페이지 접속현황(날짜, 방문자수, 방문횟수, 신규방문자수, 재방문자수 등)
Author경기도 화성시
URLhttps://www.data.go.kr/data/15042491/fileData.do

Alerts

방문자수 is highly overall correlated with 방문횟수 and 2 other fieldsHigh correlation
방문횟수 is highly overall correlated with 방문자수 and 2 other fieldsHigh correlation
신규방문자수 is highly overall correlated with 방문자수 and 2 other fieldsHigh correlation
재방문자수 is highly overall correlated with 방문자수 and 2 other fieldsHigh correlation
일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:42:09.533965
Analysis finished2023-12-12 10:42:12.160133
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

UNIQUE 

Distinct359
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2019-01-01 00:00:00
Maximum2019-12-25 00:00:00
2023-12-12T19:42:12.262180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:12.446208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방문자수
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.612813
Minimum24
Maximum227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T19:42:12.664577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile55
Q180
median98
Q3112
95-th percentile138
Maximum227
Range203
Interquartile range (IQR)32

Descriptive statistics

Standard deviation26.564204
Coefficient of variation (CV)0.27495529
Kurtosis1.5622827
Mean96.612813
Median Absolute Deviation (MAD)17
Skewness0.32091181
Sum34684
Variance705.65693
MonotonicityNot monotonic
2023-12-12T19:42:12.879031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102 10
 
2.8%
103 10
 
2.8%
111 10
 
2.8%
99 8
 
2.2%
73 8
 
2.2%
81 7
 
1.9%
65 7
 
1.9%
85 7
 
1.9%
90 7
 
1.9%
75 6
 
1.7%
Other values (97) 279
77.7%
ValueCountFrequency (%)
24 1
0.3%
27 1
0.3%
30 1
0.3%
32 1
0.3%
33 1
0.3%
35 1
0.3%
38 1
0.3%
39 1
0.3%
41 1
0.3%
48 1
0.3%
ValueCountFrequency (%)
227 1
0.3%
183 1
0.3%
175 1
0.3%
172 1
0.3%
163 1
0.3%
156 1
0.3%
151 1
0.3%
146 2
0.6%
144 1
0.3%
143 2
0.6%

방문횟수
Real number (ℝ)

HIGH CORRELATION 

Distinct138
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.10864
Minimum16
Maximum273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T19:42:13.115452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile52.7
Q193
median120
Q3144
95-th percentile177.1
Maximum273
Range257
Interquartile range (IQR)51

Descriptive statistics

Standard deviation38.577889
Coefficient of variation (CV)0.32663056
Kurtosis0.49424363
Mean118.10864
Median Absolute Deviation (MAD)26
Skewness-0.042163669
Sum42401
Variance1488.2535
MonotonicityNot monotonic
2023-12-12T19:42:13.298900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
146 8
 
2.2%
120 8
 
2.2%
112 7
 
1.9%
133 7
 
1.9%
79 6
 
1.7%
121 6
 
1.7%
108 6
 
1.7%
148 6
 
1.7%
127 6
 
1.7%
96 5
 
1.4%
Other values (128) 294
81.9%
ValueCountFrequency (%)
16 1
0.3%
17 1
0.3%
20 2
0.6%
30 2
0.6%
31 1
0.3%
32 1
0.3%
34 1
0.3%
36 2
0.6%
39 1
0.3%
42 1
0.3%
ValueCountFrequency (%)
273 1
0.3%
220 1
0.3%
219 1
0.3%
215 1
0.3%
196 2
0.6%
194 1
0.3%
190 1
0.3%
188 1
0.3%
187 2
0.6%
186 1
0.3%

신규방문자수
Real number (ℝ)

HIGH CORRELATION 

Distinct85
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.206128
Minimum21
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T19:42:13.494038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile43.9
Q161
median73
Q386
95-th percentile106.2
Maximum212
Range191
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.727599
Coefficient of variation (CV)0.27932463
Kurtosis6.1219514
Mean74.206128
Median Absolute Deviation (MAD)12
Skewness1.1034395
Sum26640
Variance429.63337
MonotonicityNot monotonic
2023-12-12T19:42:13.722385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71 12
 
3.3%
73 12
 
3.3%
75 11
 
3.1%
80 11
 
3.1%
78 10
 
2.8%
54 10
 
2.8%
60 10
 
2.8%
66 10
 
2.8%
82 9
 
2.5%
69 9
 
2.5%
Other values (75) 255
71.0%
ValueCountFrequency (%)
21 1
0.3%
23 1
0.3%
24 1
0.3%
25 1
0.3%
26 1
0.3%
27 1
0.3%
29 1
0.3%
32 1
0.3%
33 1
0.3%
37 1
0.3%
ValueCountFrequency (%)
212 1
 
0.3%
166 1
 
0.3%
145 1
 
0.3%
139 1
 
0.3%
121 1
 
0.3%
117 2
0.6%
115 1
 
0.3%
112 2
0.6%
111 2
0.6%
109 4
1.1%

재방문자수
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.406685
Minimum3
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T19:42:13.927822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9
Q115
median23
Q329
95-th percentile37.1
Maximum51
Range48
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.0724311
Coefficient of variation (CV)0.4048984
Kurtosis-0.32040185
Mean22.406685
Median Absolute Deviation (MAD)6
Skewness0.21600188
Sum8044
Variance82.309005
MonotonicityNot monotonic
2023-12-12T19:42:14.089497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
24 19
 
5.3%
14 15
 
4.2%
26 15
 
4.2%
28 15
 
4.2%
22 15
 
4.2%
25 15
 
4.2%
17 14
 
3.9%
18 14
 
3.9%
27 13
 
3.6%
29 13
 
3.6%
Other values (35) 211
58.8%
ValueCountFrequency (%)
3 1
 
0.3%
4 2
 
0.6%
5 3
 
0.8%
6 3
 
0.8%
7 3
 
0.8%
8 5
 
1.4%
9 13
3.6%
10 7
1.9%
11 11
3.1%
12 7
1.9%
ValueCountFrequency (%)
51 1
 
0.3%
48 1
 
0.3%
47 1
 
0.3%
45 1
 
0.3%
44 1
 
0.3%
43 1
 
0.3%
42 1
 
0.3%
40 6
1.7%
39 2
 
0.6%
38 3
0.8%

Interactions

2023-12-12T19:42:11.573244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:09.713092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:10.248135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:11.068315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:11.682744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:09.866187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:10.394010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:11.190537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:11.775962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:09.996576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:10.839906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:11.302605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:11.886159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:10.117820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:10.976197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:42:11.455831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:42:14.214020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문자수방문횟수신규방문자수재방문자수
방문자수1.0000.9580.9740.649
방문횟수0.9581.0000.9410.552
신규방문자수0.9740.9411.0000.454
재방문자수0.6490.5520.4541.000
2023-12-12T19:42:14.335033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문자수방문횟수신규방문자수재방문자수
방문자수1.0000.8520.9490.797
방문횟수0.8521.0000.8290.643
신규방문자수0.9490.8291.0000.590
재방문자수0.7970.6430.5901.000

Missing values

2023-12-12T19:42:12.003627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:42:12.112515image/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

일자방문자수방문횟수신규방문자수재방문자수
02019-01-0181956615
12019-01-0269805217
22019-01-03841046519
32019-01-04831126815
42019-01-0553744112
52019-01-06741066311
62019-01-07931227320
72019-01-0873945617
82019-01-091041347826
92019-01-101031277330
일자방문자수방문횟수신규방문자수재방문자수
3492019-12-161021337329
3502019-12-171221499527
3512019-12-1814418410935
3522019-12-191191649128
3532019-12-201041238618
3542019-12-2173101649
3552019-12-221111288229
3562019-12-231161379125
3572019-12-241171448631
3582019-12-25981198117