Overview

Dataset statistics

Number of variables2
Number of observations108
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory18.2 B

Variable types

DateTime1
Numeric1

Dataset

Description경상북도 문경시 문경새재도립공원 입장객현황에 대한 데이터로 데이터 기준월, 입장객수 등 항목을 2015년 ~ 2022년까지 제공합니다.
Author경상북도 문경시
URLhttps://www.data.go.kr/data/15039798/fileData.do

Alerts

기준년월 has unique valuesUnique
입장객(명) has unique valuesUnique

Reproduction

Analysis started2024-03-23 06:03:13.165331
Analysis finished2024-03-23 06:03:14.376371
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Date

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum2015-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-03-23T06:03:14.647339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:03:15.182769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입장객(명)
Real number (ℝ)

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187153.97
Minimum43313
Maximum622546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-23T06:03:15.678786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43313
5-th percentile66408.05
Q1100653.75
median162843.5
Q3215579.75
95-th percentile477501.45
Maximum622546
Range579233
Interquartile range (IQR)114926

Descriptive statistics

Standard deviation121799.43
Coefficient of variation (CV)0.65079798
Kurtosis3.1138628
Mean187153.97
Median Absolute Deviation (MAD)59869
Skewness1.724311
Sum20212629
Variance1.48351 × 1010
MonotonicityNot monotonic
2024-03-23T06:03:16.361510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101249 1
 
0.9%
362325 1
 
0.9%
184557 1
 
0.9%
202754 1
 
0.9%
139572 1
 
0.9%
154050 1
 
0.9%
207059 1
 
0.9%
152641 1
 
0.9%
95143 1
 
0.9%
110074 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
43313 1
0.9%
53816 1
0.9%
56517 1
0.9%
64121 1
0.9%
65280 1
0.9%
66162 1
0.9%
66865 1
0.9%
67116 1
0.9%
67207 1
0.9%
69914 1
0.9%
ValueCountFrequency (%)
622546 1
0.9%
619988 1
0.9%
568706 1
0.9%
500993 1
0.9%
499902 1
0.9%
496497 1
0.9%
442224 1
0.9%
418801 1
0.9%
395101 1
0.9%
362325 1
0.9%

Interactions

2024-03-23T06:03:13.579648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-23T06:03:14.024963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:03:14.275709image/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

기준년월입장객(명)
02015-01-01101249
12015-02-0180638
22015-03-01129351
32015-04-01203806
42015-05-01442224
52015-06-01122445
62015-07-01145908
72015-08-01198325
82015-09-01159402
92015-10-01619988
기준년월입장객(명)
982023-03-01123148
992023-04-01229558
1002023-05-01307712
1012023-06-01178608
1022023-07-01104534
1032023-08-01172375
1042023-09-01183679
1052023-10-01622546
1062023-11-01224272
1072023-12-0194301