Overview

Dataset statistics

Number of variables3
Number of observations181
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory26.7 B

Variable types

Numeric2
DateTime1

Dataset

Description충청남도 청양군에 소재하는 칠갑산오토캠핑장 홈페이지에 관한 접속 통계에 관한 데이터로 날짜, 접속자수를 나타냅니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=335&beforeMenuCd=DOM_000000201001001000&publicdatapk=15084530

Alerts

순번 is highly overall correlated with 접속자수High correlation
접속자수 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
날짜 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:56:09.571530
Analysis finished2024-01-09 20:56:10.370001
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct181
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91
Minimum1
Maximum181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-10T05:56:10.435108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q146
median91
Q3136
95-th percentile172
Maximum181
Range180
Interquartile range (IQR)90

Descriptive statistics

Standard deviation52.394338
Coefficient of variation (CV)0.57576196
Kurtosis-1.2
Mean91
Median Absolute Deviation (MAD)45
Skewness0
Sum16471
Variance2745.1667
MonotonicityStrictly increasing
2024-01-10T05:56:10.560848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
115 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
122 1
 
0.6%
123 1
 
0.6%
124 1
 
0.6%
Other values (171) 171
94.5%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
181 1
0.6%
180 1
0.6%
179 1
0.6%
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%

날짜
Date

UNIQUE 

Distinct181
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2022-01-01 00:00:00
Maximum2022-06-30 00:00:00
2024-01-10T05:56:10.677182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:10.801459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접속자수
Real number (ℝ)

HIGH CORRELATION 

Distinct178
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3859.0608
Minimum1177
Maximum24985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-10T05:56:10.928100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1177
5-th percentile2182
Q12322
median2727
Q33020
95-th percentile14442
Maximum24985
Range23808
Interquartile range (IQR)698

Descriptive statistics

Standard deviation3968.7164
Coefficient of variation (CV)1.0284151
Kurtosis11.575565
Mean3859.0608
Median Absolute Deviation (MAD)355
Skewness3.4912883
Sum698490
Variance15750710
MonotonicityNot monotonic
2024-01-10T05:56:11.049282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2748 2
 
1.1%
2171 2
 
1.1%
2175 2
 
1.1%
2203 1
 
0.6%
2818 1
 
0.6%
3462 1
 
0.6%
3859 1
 
0.6%
4525 1
 
0.6%
2891 1
 
0.6%
3181 1
 
0.6%
Other values (168) 168
92.8%
ValueCountFrequency (%)
1177 1
0.6%
2137 1
0.6%
2144 1
0.6%
2153 1
0.6%
2171 2
1.1%
2175 2
1.1%
2181 1
0.6%
2182 1
0.6%
2184 1
0.6%
2188 1
0.6%
ValueCountFrequency (%)
24985 1
0.6%
20226 1
0.6%
19488 1
0.6%
19431 1
0.6%
19324 1
0.6%
19103 1
0.6%
18139 1
0.6%
17996 1
0.6%
16058 1
0.6%
14442 1
0.6%

Interactions

2024-01-10T05:56:09.823983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:09.637360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:09.902413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:56:09.730571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:56:11.119935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번접속자수
순번1.0000.628
접속자수0.6281.000
2024-01-10T05:56:11.190116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번접속자수
순번1.0000.754
접속자수0.7541.000

Missing values

2024-01-10T05:56:10.278795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:56:10.342128image/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

순번날짜접속자수
012022-01-012203
122022-01-022144
232022-01-032171
342022-01-042217
452022-01-052224
562022-01-062171
672022-01-072181
782022-01-082175
892022-01-092137
9102022-01-102184
순번날짜접속자수
1711722022-06-213049
1721732022-06-223082
1731742022-06-233012
1741752022-06-242928
1751762022-06-252830
1761772022-06-262743
1771782022-06-272739
1781792022-06-282970
1791802022-06-292865
1801812022-06-301177