Overview

Dataset statistics

Number of variables6
Number of observations731
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.0 KiB
Average record size in memory53.2 B

Variable types

DateTime1
Numeric5

Dataset

Description경기주택도시공사 홈페이지 방문자 현황으로써 일별 방문자수, 신규방문자수, 재방문자수 등의 정보를 포함하고 있습니다.
Author경기주택도시공사
URLhttps://www.data.go.kr/data/15116050/fileData.do

Alerts

신규 방문자 is highly overall correlated with 재 방문자 and 3 other fieldsHigh correlation
재 방문자 is highly overall correlated with 신규 방문자 and 3 other fieldsHigh correlation
방문자 is highly overall correlated with 신규 방문자 and 3 other fieldsHigh correlation
방문횟수 is highly overall correlated with 신규 방문자 and 3 other fieldsHigh correlation
페이지뷰 is highly overall correlated with 신규 방문자 and 3 other fieldsHigh correlation
접속일 has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:59:15.699418
Analysis finished2024-03-15 00:59:23.015477
Duration7.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접속일
Date

UNIQUE 

Distinct731
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum2022-03-01 00:00:00
Maximum2024-02-29 00:00:00
2024-03-15T09:59:23.156809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:23.524061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

신규 방문자
Real number (ℝ)

HIGH CORRELATION 

Distinct688
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3631.513
Minimum877
Maximum63994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-03-15T09:59:23.874058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum877
5-th percentile1251.5
Q12333
median3272
Q34178
95-th percentile6838.5
Maximum63994
Range63117
Interquartile range (IQR)1845

Descriptive statistics

Standard deviation3032.1908
Coefficient of variation (CV)0.83496625
Kurtosis219.24953
Mean3631.513
Median Absolute Deviation (MAD)935
Skewness11.82022
Sum2654636
Variance9194181
MonotonicityNot monotonic
2024-03-15T09:59:24.504741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3850 3
 
0.4%
2481 2
 
0.3%
3825 2
 
0.3%
4132 2
 
0.3%
3101 2
 
0.3%
3794 2
 
0.3%
3677 2
 
0.3%
3666 2
 
0.3%
5300 2
 
0.3%
2743 2
 
0.3%
Other values (678) 710
97.1%
ValueCountFrequency (%)
877 1
0.1%
897 1
0.1%
898 1
0.1%
921 1
0.1%
933 1
0.1%
938 1
0.1%
957 1
0.1%
979 1
0.1%
987 1
0.1%
993 1
0.1%
ValueCountFrequency (%)
63994 1
0.1%
24911 1
0.1%
18278 1
0.1%
17410 1
0.1%
12802 1
0.1%
11074 1
0.1%
10863 1
0.1%
10668 1
0.1%
10263 1
0.1%
10077 1
0.1%

재 방문자
Real number (ℝ)

HIGH CORRELATION 

Distinct602
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1469.7278
Minimum180
Maximum3653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-03-15T09:59:24.909058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile427.5
Q1680.5
median1657
Q32014.5
95-th percentile2374
Maximum3653
Range3473
Interquartile range (IQR)1334

Descriptive statistics

Standard deviation687.35219
Coefficient of variation (CV)0.46767313
Kurtosis-1.1280213
Mean1469.7278
Median Absolute Deviation (MAD)470
Skewness-0.24697773
Sum1074371
Variance472453.03
MonotonicityNot monotonic
2024-03-15T09:59:25.340609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1606 4
 
0.5%
682 3
 
0.4%
1746 3
 
0.4%
600 3
 
0.4%
598 3
 
0.4%
2166 3
 
0.4%
693 3
 
0.4%
1533 3
 
0.4%
2045 3
 
0.4%
471 3
 
0.4%
Other values (592) 700
95.8%
ValueCountFrequency (%)
180 1
0.1%
238 1
0.1%
276 1
0.1%
302 1
0.1%
329 1
0.1%
342 1
0.1%
350 1
0.1%
353 1
0.1%
357 1
0.1%
365 1
0.1%
ValueCountFrequency (%)
3653 1
0.1%
3390 1
0.1%
2867 1
0.1%
2844 1
0.1%
2816 1
0.1%
2788 1
0.1%
2689 1
0.1%
2660 1
0.1%
2657 1
0.1%
2605 1
0.1%

방문자
Real number (ℝ)

HIGH CORRELATION 

Distinct693
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5101.2408
Minimum1223
Maximum65522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-03-15T09:59:25.727669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1223
5-th percentile1680.5
Q13158.5
median4881
Q36256.5
95-th percentile9308.5
Maximum65522
Range64299
Interquartile range (IQR)3098

Descriptive statistics

Standard deviation3375.3565
Coefficient of variation (CV)0.66167364
Kurtosis142.81755
Mean5101.2408
Median Absolute Deviation (MAD)1461
Skewness8.617538
Sum3729007
Variance11393032
MonotonicityNot monotonic
2024-03-15T09:59:26.067777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1826 3
 
0.4%
4366 2
 
0.3%
4516 2
 
0.3%
4760 2
 
0.3%
6257 2
 
0.3%
2924 2
 
0.3%
2497 2
 
0.3%
4838 2
 
0.3%
7541 2
 
0.3%
6421 2
 
0.3%
Other values (683) 710
97.1%
ValueCountFrequency (%)
1223 1
0.1%
1258 1
0.1%
1262 1
0.1%
1285 1
0.1%
1307 1
0.1%
1315 1
0.1%
1317 1
0.1%
1340 1
0.1%
1355 1
0.1%
1382 2
0.3%
ValueCountFrequency (%)
65522 1
0.1%
26693 1
0.1%
19875 1
0.1%
18974 1
0.1%
15144 1
0.1%
13059 1
0.1%
12866 1
0.1%
12858 1
0.1%
12498 1
0.1%
12116 1
0.1%

방문횟수
Real number (ℝ)

HIGH CORRELATION 

Distinct699
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5619.4774
Minimum1272
Maximum66017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-03-15T09:59:26.317685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1272
5-th percentile1734.5
Q13331.5
median5354
Q37054.5
95-th percentile10520
Maximum66017
Range64745
Interquartile range (IQR)3723

Descriptive statistics

Standard deviation3596.6329
Coefficient of variation (CV)0.64002979
Kurtosis110.13171
Mean5619.4774
Median Absolute Deviation (MAD)1815
Skewness7.1395601
Sum4107838
Variance12935769
MonotonicityNot monotonic
2024-03-15T09:59:26.691395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5247 3
 
0.4%
2184 3
 
0.4%
5231 3
 
0.4%
9674 2
 
0.3%
2617 2
 
0.3%
7270 2
 
0.3%
5142 2
 
0.3%
1627 2
 
0.3%
7310 2
 
0.3%
3133 2
 
0.3%
Other values (689) 708
96.9%
ValueCountFrequency (%)
1272 1
0.1%
1273 1
0.1%
1290 1
0.1%
1304 1
0.1%
1331 1
0.1%
1345 1
0.1%
1367 1
0.1%
1378 1
0.1%
1389 1
0.1%
1394 1
0.1%
ValueCountFrequency (%)
66017 1
0.1%
26911 1
0.1%
19949 1
0.1%
19472 1
0.1%
16406 1
0.1%
14435 1
0.1%
14061 1
0.1%
14027 1
0.1%
13910 1
0.1%
13183 1
0.1%

페이지뷰
Real number (ℝ)

HIGH CORRELATION 

Distinct722
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22341.062
Minimum6311
Maximum84541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-03-15T09:59:26.977094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6311
5-th percentile8338
Q112464.5
median23422
Q328036.5
95-th percentile36998
Maximum84541
Range78230
Interquartile range (IQR)15572

Descriptive statistics

Standard deviation10150.649
Coefficient of variation (CV)0.45434947
Kurtosis3.9558789
Mean22341.062
Median Absolute Deviation (MAD)6977
Skewness0.95808342
Sum16331316
Variance1.0303568 × 108
MonotonicityNot monotonic
2024-03-15T09:59:27.384476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22938 2
 
0.3%
21784 2
 
0.3%
9789 2
 
0.3%
21875 2
 
0.3%
27898 2
 
0.3%
10093 2
 
0.3%
22623 2
 
0.3%
21521 2
 
0.3%
22822 2
 
0.3%
28247 1
 
0.1%
Other values (712) 712
97.4%
ValueCountFrequency (%)
6311 1
0.1%
6330 1
0.1%
6446 1
0.1%
6478 1
0.1%
7006 1
0.1%
7013 1
0.1%
7024 1
0.1%
7045 1
0.1%
7058 1
0.1%
7243 1
0.1%
ValueCountFrequency (%)
84541 1
0.1%
82565 1
0.1%
75215 1
0.1%
64226 1
0.1%
60701 1
0.1%
53521 1
0.1%
50565 1
0.1%
48024 1
0.1%
46722 1
0.1%
46011 1
0.1%

Interactions

2024-03-15T09:59:21.328861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:15.973575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:17.156051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:18.521999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:19.891593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:21.553911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:16.140042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:17.428167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:18.858583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:20.161478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:21.731580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:16.318004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:17.708739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:19.129310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:20.505701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:21.971395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:16.613890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:17.976830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:19.393504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:20.784362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:22.247638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:16.880022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:18.248081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:19.650693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:59:21.051188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:59:27.582047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신규 방문자재 방문자방문자방문횟수페이지뷰
신규 방문자1.0000.1810.9930.9860.809
재 방문자0.1811.0000.4030.5180.740
방문자0.9930.4031.0000.9960.826
방문횟수0.9860.5180.9961.0000.876
페이지뷰0.8090.7400.8260.8761.000
2024-03-15T09:59:27.773195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신규 방문자재 방문자방문자방문횟수페이지뷰
신규 방문자1.0000.8510.9800.9700.808
재 방문자0.8511.0000.9210.9300.875
방문자0.9800.9211.0000.9960.864
방문횟수0.9700.9300.9961.0000.860
페이지뷰0.8080.8750.8640.8601.000

Missing values

2024-03-15T09:59:22.614083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:59:22.944054image/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

접속일신규 방문자재 방문자방문자방문횟수페이지뷰
02024-02-29581821247942967428896
12024-02-28509222807372877325041
22024-02-27618722858472978027567
32024-02-26632623278653998327441
42024-02-2543257065031526612246
52024-02-2465407147254754115125
62024-02-2391031978110811226327922
72024-02-227485215696411078934273
82024-02-217216222794431051725662
92024-02-207217229695131065928345
접속일신규 방문자재 방문자방문자방문횟수페이지뷰
7212022-03-10338612444630460123847
7222022-03-0912633911654162710047
7232022-03-08268210683750366420883
7242022-03-07324911774426449325252
7252022-03-061311238154915449730
7262022-03-051285276156114899415
7272022-03-0424408363276338219956
7282022-03-0334128504262431825248
7292022-03-0236866504336449825862
7302022-03-0117511801931188713181