Overview

Dataset statistics

Number of variables4
Number of observations365
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.9 KiB
Average record size in memory33.4 B

Variable types

DateTime1
Categorical2
Numeric1

Dataset

Description전라북도 무주군 대표 홈페이지 방문자에 대한 데이터(방문일자, 방문요일, 방문자 수 등)를 제공하는 데이터입니다.
URLhttps://www.data.go.kr/data/15042653/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
방문일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:45:57.221311
Analysis finished2023-12-12 16:45:57.531560
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

방문일자
Date

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T01:45:57.599975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:45:57.741107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방문요일
Categorical

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
53 
52 
52 
52 
52 
Other values (2)
104 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
53
14.5%
52
14.2%
52
14.2%
52
14.2%
52
14.2%
52
14.2%
52
14.2%

Length

2023-12-13T01:45:57.881755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:45:58.001379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
53
14.5%
52
14.2%
52
14.2%
52
14.2%
52
14.2%
52
14.2%
52
14.2%

방문자수
Real number (ℝ)

Distinct311
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1446.9836
Minimum536
Maximum3759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T01:45:58.145247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum536
5-th percentile653.8
Q1812
median1634
Q31803
95-th percentile2083.2
Maximum3759
Range3223
Interquartile range (IQR)991

Descriptive statistics

Standard deviation523.39721
Coefficient of variation (CV)0.36171607
Kurtosis-0.27332514
Mean1446.9836
Median Absolute Deviation (MAD)260
Skewness-0.17319014
Sum528149
Variance273944.64
MonotonicityNot monotonic
2023-12-13T01:45:58.281328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1655 3
 
0.8%
1724 3
 
0.8%
1726 3
 
0.8%
687 3
 
0.8%
1877 3
 
0.8%
1803 3
 
0.8%
1778 3
 
0.8%
1699 2
 
0.5%
710 2
 
0.5%
1849 2
 
0.5%
Other values (301) 338
92.6%
ValueCountFrequency (%)
536 1
0.3%
559 1
0.3%
576 1
0.3%
603 1
0.3%
607 1
0.3%
610 1
0.3%
618 1
0.3%
620 1
0.3%
622 1
0.3%
623 1
0.3%
ValueCountFrequency (%)
3759 1
0.3%
2809 1
0.3%
2564 1
0.3%
2324 1
0.3%
2295 1
0.3%
2235 1
0.3%
2225 1
0.3%
2191 1
0.3%
2161 1
0.3%
2148 1
0.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-03-07
365 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-07
2nd row2023-03-07
3rd row2023-03-07
4th row2023-03-07
5th row2023-03-07

Common Values

ValueCountFrequency (%)
2023-03-07 365
100.0%

Length

2023-12-13T01:45:58.414559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:45:58.510465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-07 365
100.0%

Interactions

2023-12-13T01:45:57.305682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:45:58.579960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문요일방문자수
방문요일1.0000.648
방문자수0.6481.000
2023-12-13T01:45:58.659063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문자수방문요일
방문자수1.0000.414
방문요일0.4141.000

Missing values

2023-12-13T01:45:57.414819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:45:57.494319image/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

방문일자방문요일방문자수데이터기준일자
02022-01-016992023-03-07
12022-01-027582023-03-07
22022-01-0321182023-03-07
32022-01-0420342023-03-07
42022-01-0519562023-03-07
52022-01-0618772023-03-07
62022-01-0723242023-03-07
72022-01-087842023-03-07
82022-01-098882023-03-07
92022-01-1021612023-03-07
방문일자방문요일방문자수데이터기준일자
3552022-12-2216502023-03-07
3562022-12-2315312023-03-07
3572022-12-246872023-03-07
3582022-12-256972023-03-07
3592022-12-2617542023-03-07
3602022-12-2716582023-03-07
3612022-12-2816342023-03-07
3622022-12-2916532023-03-07
3632022-12-3015392023-03-07
3642022-12-317072023-03-07