Overview

Dataset statistics

Number of variables2
Number of observations176
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory17.7 B

Variable types

DateTime1
Numeric1

Dataset

Description울산광역시 소재 울산대곡박물관의 개관(2009년 6월 24일) 이후부터의 관람객 데이터로, 월별 관람객 수를 제공합니다.
Author울산광역시
URLhttps://www.data.go.kr/data/15036305/fileData.do

Alerts

월별 has unique valuesUnique
관람객 has 2 (1.1%) zerosZeros

Reproduction

Analysis started2024-03-14 12:52:55.355952
Analysis finished2024-03-14 12:52:56.006221
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

월별
Date

UNIQUE 

Distinct176
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2009-06-30 00:00:00
Maximum2024-01-31 00:00:00
2024-03-14T21:52:56.216337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:52:56.642300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관람객
Real number (ℝ)

ZEROS 

Distinct171
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453.2216
Minimum0
Maximum8265
Zeros2
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-14T21:52:57.047670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1175.5
Q12310.25
median3085.5
Q34523.75
95-th percentile6491.5
Maximum8265
Range8265
Interquartile range (IQR)2213.5

Descriptive statistics

Standard deviation1676.9176
Coefficient of variation (CV)0.48560963
Kurtosis-0.073775678
Mean3453.2216
Median Absolute Deviation (MAD)976.5
Skewness0.58903449
Sum607767
Variance2812052.8
MonotonicityNot monotonic
2024-03-14T21:52:57.474200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
1.1%
2895 2
 
1.1%
1370 2
 
1.1%
2014 2
 
1.1%
2836 2
 
1.1%
4560 1
 
0.6%
5591 1
 
0.6%
3912 1
 
0.6%
2456 1
 
0.6%
2392 1
 
0.6%
Other values (161) 161
91.5%
ValueCountFrequency (%)
0 2
1.1%
55 1
0.6%
890 1
0.6%
1030 1
0.6%
1035 1
0.6%
1089 1
0.6%
1120 1
0.6%
1129 1
0.6%
1191 1
0.6%
1194 1
0.6%
ValueCountFrequency (%)
8265 1
0.6%
7904 1
0.6%
7426 1
0.6%
7344 1
0.6%
7173 1
0.6%
7071 1
0.6%
7068 1
0.6%
6707 1
0.6%
6610 1
0.6%
6452 1
0.6%

Interactions

2024-03-14T21:52:55.410100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-14T21:52:55.716800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:52:55.921175image/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

월별관람객
02009-06-301479
12009-07-316610
22009-08-318265
32009-09-303474
42009-10-315281
52009-11-303411
62009-12-314001
72010-01-315332
82010-02-283439
92010-03-314749
월별관람객
1662023-04-303602
1672023-05-313120
1682023-06-302334
1692023-07-312082
1702023-08-302400
1712023-09-302895
1722023-10-313254
1732023-11-302882
1742023-12-312898
1752024-01-312508