Overview

Dataset statistics

Number of variables3
Number of observations164
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory25.8 B

Variable types

DateTime1
Numeric1
Categorical1

Dataset

Description충청남도청양군에 소재하는 동강리오토캠핑장에 관한 홈페이지 접속통계 현황 데이터로 날짜, 접속자수에 관한 데이터 입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=335&beforeMenuCd=DOM_000000201001001000&publicdatapk=15084528

Alerts

데이터기준일자 has constant value ""Constant
날짜 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:13:49.221273
Analysis finished2024-01-09 22:13:49.435304
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2022-01-01 00:00:00
Maximum2022-06-13 00:00:00
2024-01-10T07:13:49.486498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:13:49.585022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접속자수
Real number (ℝ)

Distinct154
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1589.4451
Minimum377
Maximum4793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-10T07:13:49.691349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum377
5-th percentile552.8
Q1835.25
median1484.5
Q32252.5
95-th percentile2710.9
Maximum4793
Range4416
Interquartile range (IQR)1417.25

Descriptive statistics

Standard deviation794.72245
Coefficient of variation (CV)0.49999993
Kurtosis0.85944135
Mean1589.4451
Median Absolute Deviation (MAD)750.5
Skewness0.65740221
Sum260669
Variance631583.77
MonotonicityNot monotonic
2024-01-10T07:13:49.789889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
601 2
 
1.2%
1493 2
 
1.2%
2299 2
 
1.2%
610 2
 
1.2%
1475 2
 
1.2%
1539 2
 
1.2%
629 2
 
1.2%
1439 2
 
1.2%
1621 2
 
1.2%
1415 2
 
1.2%
Other values (144) 144
87.8%
ValueCountFrequency (%)
377 1
0.6%
440 1
0.6%
472 1
0.6%
473 1
0.6%
476 1
0.6%
495 1
0.6%
520 1
0.6%
548 1
0.6%
551 1
0.6%
563 1
0.6%
ValueCountFrequency (%)
4793 1
0.6%
3887 1
0.6%
3804 1
0.6%
3469 1
0.6%
3019 1
0.6%
3010 1
0.6%
2805 1
0.6%
2775 1
0.6%
2722 1
0.6%
2648 1
0.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-07-21
164 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-21
2nd row2023-07-21
3rd row2023-07-21
4th row2023-07-21
5th row2023-07-21

Common Values

ValueCountFrequency (%)
2023-07-21 164
100.0%

Length

2024-01-10T07:13:49.884840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:13:49.958655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-21 164
100.0%

Interactions

2024-01-10T07:13:49.263949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-10T07:13:49.355832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:13:49.412134image/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

날짜접속자수데이터기준일자
02022-01-016012023-07-21
12022-01-026042023-07-21
22022-01-036632023-07-21
32022-01-046362023-07-21
42022-01-054402023-07-21
52022-01-065202023-07-21
62022-01-076182023-07-21
72022-01-086532023-07-21
82022-01-094722023-07-21
92022-01-104732023-07-21
날짜접속자수데이터기준일자
1542022-06-0420402023-07-21
1552022-06-0518472023-07-21
1562022-06-0622992023-07-21
1572022-06-0722862023-07-21
1582022-06-0822572023-07-21
1592022-06-0922712023-07-21
1602022-06-1019362023-07-21
1612022-06-1113492023-07-21
1622022-06-1213162023-07-21
1632022-06-138512023-07-21