Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory322.3 KiB
Average record size in memory33.0 B

Variable types

Numeric1
DateTime1
Categorical1

Dataset

Description경상남도 소방본부 홈페이지 방문통계에 대한 데이터입니다. 홈페이지의 방문통꼐번호, 방문일, 시스템등의 정보의 데이터를 포함하고있습니다.
Author경상남도
URLhttps://www.data.go.kr/data/15049510/fileData.do

Alerts

방문통계번호 has unique valuesUnique

Reproduction

Analysis started2024-04-22 00:50:21.362964
Analysis finished2024-04-22 00:50:21.755212
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

방문통계번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33422.598
Minimum1
Maximum73845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T09:50:21.823703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3457.8
Q116524.75
median32897.5
Q348694
95-th percentile68318.2
Maximum73845
Range73844
Interquartile range (IQR)32169.25

Descriptive statistics

Standard deviation19933.388
Coefficient of variation (CV)0.59640449
Kurtosis-1.0007275
Mean33422.598
Median Absolute Deviation (MAD)16091.5
Skewness0.17131308
Sum3.3422598 × 108
Variance3.9733995 × 108
MonotonicityNot monotonic
2024-04-22T09:50:21.955254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24411 1
 
< 0.1%
57422 1
 
< 0.1%
24206 1
 
< 0.1%
13276 1
 
< 0.1%
49187 1
 
< 0.1%
16304 1
 
< 0.1%
1682 1
 
< 0.1%
41220 1
 
< 0.1%
42892 1
 
< 0.1%
7256 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
16 1
< 0.1%
18 1
< 0.1%
22 1
< 0.1%
30 1
< 0.1%
40 1
< 0.1%
43 1
< 0.1%
48 1
< 0.1%
53 1
< 0.1%
60 1
< 0.1%
ValueCountFrequency (%)
73845 1
< 0.1%
73819 1
< 0.1%
73806 1
< 0.1%
73790 1
< 0.1%
73785 1
< 0.1%
73777 1
< 0.1%
73771 1
< 0.1%
73768 1
< 0.1%
73761 1
< 0.1%
73755 1
< 0.1%

방문일
Date

Distinct5708
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-10-26 10:11:00
Maximum2018-01-19 09:40:00
2024-04-22T09:50:22.084817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:50:22.223903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시스템아이디
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
1638 
jinju
690 
yangsan
 
505
geoje
 
503
gimhaeeast
 
450
Other values (21)
6214 

Length

Max length10
Median length8
Mean length6.6319
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowgoseong
2nd row<NA>
3rd rowchangyeong
4th rowsancheong
5th rowgoseong

Common Values

ValueCountFrequency (%)
<NA> 1638
 
16.4%
jinju 690
 
6.9%
yangsan 505
 
5.1%
geoje 503
 
5.0%
gimhaeeast 450
 
4.5%
geochang 433
 
4.3%
hamyang 424
 
4.2%
goseong 420
 
4.2%
sacheon 416
 
4.2%
miryang 416
 
4.2%
Other values (16) 4105
41.0%

Length

2024-04-22T09:50:22.382564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1638
 
16.4%
jinju 690
 
6.9%
yangsan 505
 
5.1%
geoje 503
 
5.0%
gimhaeeast 450
 
4.5%
geochang 433
 
4.3%
hamyang 424
 
4.2%
goseong 420
 
4.2%
sacheon 416
 
4.2%
miryang 416
 
4.2%
Other values (16) 4105
41.0%

Interactions

2024-04-22T09:50:21.506380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T09:50:22.461175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문통계번호시스템아이디
방문통계번호1.0000.157
시스템아이디0.1571.000
2024-04-22T09:50:22.544293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문통계번호시스템아이디
방문통계번호1.0000.056
시스템아이디0.0561.000

Missing values

2024-04-22T09:50:21.640308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T09:50:21.719698image/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

방문통계번호방문일시스템아이디
24488244112018-01-09 17:48goseong
62523696002018-01-17 18:29<NA>
41750457452018-01-14 8:01changyeong
27209303512018-01-10 14:32sancheong
609045962018-01-04 22:42goseong
24948201472018-01-09 6:42namhae
12532125662018-01-08 3:25yangsan
25576206352018-01-09 8:39yangsan
48595413362018-01-14 2:16training
41263431672018-01-14 4:36gimhaewest
방문통계번호방문일시스템아이디
42931481662018-01-14 12:50hadong
26587287142018-01-10 5:51hadong
12944122662018-01-08 2:57hapcheon
65457634382018-01-17 9:50hadong
31434216662018-01-09 12:34jinju
57100584322018-01-15 13:55<NA>
15996169052018-01-08 14:02goseong
29415344622018-01-11 9:59hadong
57797608882018-01-16 16:45gimhaeeast
575258072018-01-05 16:01geoje