Overview

Dataset statistics

Number of variables3
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory28.2 B

Variable types

DateTime1
Numeric2

Dataset

Description14~18년 NPAS시스템 월별 페이지뷰 현황
Author행정안전부
URLhttps://www.data.go.kr/data/15049204/fileData.do

Alerts

방문자수(로그인) is highly overall correlated with 페이지뷰High correlation
페이지뷰 is highly overall correlated with 방문자수(로그인)High correlation
연도월 has unique valuesUnique
페이지뷰 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:44:12.156191
Analysis finished2023-12-12 11:44:13.329690
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도월
Date

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2014-01-01 00:00:00
Maximum2018-12-01 00:00:00
2023-12-12T20:44:13.470037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:13.794041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방문자수(로그인)
Real number (ℝ)

HIGH CORRELATION 

Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11907.317
Minimum1978
Maximum22661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T20:44:14.109163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1978
5-th percentile6727.15
Q18795.5
median11249
Q313657.75
95-th percentile20337.75
Maximum22661
Range20683
Interquartile range (IQR)4862.25

Descriptive statistics

Standard deviation4377.7473
Coefficient of variation (CV)0.36765188
Kurtosis0.17653203
Mean11907.317
Median Absolute Deviation (MAD)2426
Skewness0.65264055
Sum714439
Variance19164671
MonotonicityNot monotonic
2023-12-12T20:44:14.401814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10418 2
 
3.3%
18226 1
 
1.7%
8841 1
 
1.7%
8299 1
 
1.7%
10694 1
 
1.7%
10005 1
 
1.7%
12629 1
 
1.7%
15158 1
 
1.7%
5442 1
 
1.7%
13646 1
 
1.7%
Other values (49) 49
81.7%
ValueCountFrequency (%)
1978 1
1.7%
5442 1
1.7%
6122 1
1.7%
6759 1
1.7%
7103 1
1.7%
7262 1
1.7%
7525 1
1.7%
7535 1
1.7%
7726 1
1.7%
7882 1
1.7%
ValueCountFrequency (%)
22661 1
1.7%
22040 1
1.7%
21036 1
1.7%
20301 1
1.7%
20043 1
1.7%
18667 1
1.7%
18559 1
1.7%
18226 1
1.7%
17768 1
1.7%
17151 1
1.7%

페이지뷰
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64527.933
Minimum1238
Maximum225229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T20:44:14.686438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1238
5-th percentile23170.2
Q143807
median53049
Q371988.5
95-th percentile154521.7
Maximum225229
Range223991
Interquartile range (IQR)28181.5

Descriptive statistics

Standard deviation42890.292
Coefficient of variation (CV)0.66467791
Kurtosis5.8776192
Mean64527.933
Median Absolute Deviation (MAD)15594
Skewness2.2686181
Sum3871676
Variance1.8395771 × 109
MonotonicityNot monotonic
2023-12-12T20:44:15.039098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1238 1
 
1.7%
54503 1
 
1.7%
37494 1
 
1.7%
47721 1
 
1.7%
56247 1
 
1.7%
103416 1
 
1.7%
112160 1
 
1.7%
21004 1
 
1.7%
52757 1
 
1.7%
26377 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1238 1
1.7%
21004 1
1.7%
21312 1
1.7%
23268 1
1.7%
25773 1
1.7%
26377 1
1.7%
29719 1
1.7%
30473 1
1.7%
32427 1
1.7%
33708 1
1.7%
ValueCountFrequency (%)
225229 1
1.7%
217191 1
1.7%
196354 1
1.7%
152320 1
1.7%
119862 1
1.7%
112160 1
1.7%
104304 1
1.7%
103416 1
1.7%
86708 1
1.7%
81419 1
1.7%

Interactions

2023-12-12T20:44:12.509076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:12.265692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:12.620023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:12.389787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:44:15.215804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월방문자수(로그인)페이지뷰
연도월1.0001.0001.000
방문자수(로그인)1.0001.0000.768
페이지뷰1.0000.7681.000
2023-12-12T20:44:15.408663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문자수(로그인)페이지뷰
방문자수(로그인)1.0000.662
페이지뷰0.6621.000

Missing values

2023-12-12T20:44:13.010460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:44:13.264793image/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

연도월방문자수(로그인)페이지뷰
02014-0119781238
12014-0218226196354
22014-03752525773
32014-042103681419
42014-051198253286
52014-06919548711
62014-071218373041
72014-081308486708
82014-09926262095
92014-10860759448
연도월방문자수(로그인)페이지뷰
502018-03939633708
512018-041423957311
522018-051260444667
532018-06996239578
542018-071041840678
552018-081866753376
562018-091776850672
572018-101855949445
582018-112004349420
592018-122204070819