Overview

Dataset statistics

Number of variables5
Number of observations8566
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory368.2 KiB
Average record size in memory44.0 B

Variable types

Numeric4
DateTime1

Dataset

Description중소벤처기업진흥공단 홈페이지 메인 화면에 접속한 이용자(법인, 개인(기업), 미로그인) 수를 시계열(월, 일, 시간)로 정리한 데이터 입니다.
URLhttps://www.data.go.kr/data/15119719/fileData.do

Alerts

기업방문자수 is highly overall correlated with 개인방문자수 and 1 other fieldsHigh correlation
개인방문자수 is highly overall correlated with 기업방문자수 and 1 other fieldsHigh correlation
미로그인방문자수 is highly overall correlated with 기업방문자수 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
방문일자 has unique valuesUnique
기업방문자수 has 733 (8.6%) zerosZeros
개인방문자수 has 2050 (23.9%) zerosZeros

Reproduction

Analysis started2023-12-12 12:45:16.095726
Analysis finished2023-12-12 12:45:17.786039
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct8566
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4283.5
Minimum1
Maximum8566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size75.4 KiB
2023-12-12T21:45:17.847951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile429.25
Q12142.25
median4283.5
Q36424.75
95-th percentile8137.75
Maximum8566
Range8565
Interquartile range (IQR)4282.5

Descriptive statistics

Standard deviation2472.9355
Coefficient of variation (CV)0.57731657
Kurtosis-1.2
Mean4283.5
Median Absolute Deviation (MAD)2141.5
Skewness0
Sum36692461
Variance6115410.2
MonotonicityStrictly increasing
2023-12-12T21:45:18.165114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5708 1
 
< 0.1%
5722 1
 
< 0.1%
5721 1
 
< 0.1%
5720 1
 
< 0.1%
5719 1
 
< 0.1%
5718 1
 
< 0.1%
5717 1
 
< 0.1%
5716 1
 
< 0.1%
5715 1
 
< 0.1%
Other values (8556) 8556
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
8566 1
< 0.1%
8565 1
< 0.1%
8564 1
< 0.1%
8563 1
< 0.1%
8562 1
< 0.1%
8561 1
< 0.1%
8560 1
< 0.1%
8559 1
< 0.1%
8558 1
< 0.1%
8557 1
< 0.1%

방문일자
Date

UNIQUE 

Distinct8566
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size67.1 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 23:00:00
2023-12-12T21:45:18.300233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:18.469828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기업방문자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct867
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.33003
Minimum0
Maximum7375
Zeros733
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size75.4 KiB
2023-12-12T21:45:18.635344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median17
Q399
95-th percentile785
Maximum7375
Range7375
Interquartile range (IQR)95

Descriptive statistics

Standard deviation315.94005
Coefficient of variation (CV)2.5617448
Kurtosis88.158804
Mean123.33003
Median Absolute Deviation (MAD)16
Skewness6.9589606
Sum1056445
Variance99818.116
MonotonicityNot monotonic
2023-12-12T21:45:18.778979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 733
 
8.6%
1 504
 
5.9%
2 385
 
4.5%
3 357
 
4.2%
4 313
 
3.7%
5 306
 
3.6%
6 264
 
3.1%
7 214
 
2.5%
9 193
 
2.3%
8 184
 
2.1%
Other values (857) 5113
59.7%
ValueCountFrequency (%)
0 733
8.6%
1 504
5.9%
2 385
4.5%
3 357
4.2%
4 313
3.7%
5 306
3.6%
6 264
 
3.1%
7 214
 
2.5%
8 184
 
2.1%
9 193
 
2.3%
ValueCountFrequency (%)
7375 1
< 0.1%
6003 1
< 0.1%
5671 1
< 0.1%
4757 1
< 0.1%
4258 1
< 0.1%
3871 1
< 0.1%
3861 1
< 0.1%
3732 1
< 0.1%
3638 1
< 0.1%
3579 1
< 0.1%

개인방문자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct113
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1735933
Minimum0
Maximum226
Zeros2050
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size75.4 KiB
2023-12-12T21:45:18.957681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q312
95-th percentile37
Maximum226
Range226
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14.922086
Coefficient of variation (CV)1.6266347
Kurtosis35.221012
Mean9.1735933
Median Absolute Deviation (MAD)4
Skewness4.4203509
Sum78581
Variance222.66864
MonotonicityNot monotonic
2023-12-12T21:45:19.093632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2050
23.9%
1 919
 
10.7%
2 670
 
7.8%
3 535
 
6.2%
4 414
 
4.8%
5 352
 
4.1%
6 304
 
3.5%
7 276
 
3.2%
8 237
 
2.8%
9 230
 
2.7%
Other values (103) 2579
30.1%
ValueCountFrequency (%)
0 2050
23.9%
1 919
10.7%
2 670
 
7.8%
3 535
 
6.2%
4 414
 
4.8%
5 352
 
4.1%
6 304
 
3.5%
7 276
 
3.2%
8 237
 
2.8%
9 230
 
2.7%
ValueCountFrequency (%)
226 1
< 0.1%
205 1
< 0.1%
201 1
< 0.1%
196 1
< 0.1%
186 1
< 0.1%
185 1
< 0.1%
180 2
< 0.1%
161 1
< 0.1%
160 2
< 0.1%
158 1
< 0.1%

미로그인방문자수
Real number (ℝ)

HIGH CORRELATION 

Distinct1208
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258.70663
Minimum1
Maximum8542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size75.4 KiB
2023-12-12T21:45:19.240426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q138
median94
Q3373.75
95-th percentile963.75
Maximum8542
Range8541
Interquartile range (IQR)335.75

Descriptive statistics

Standard deviation411.31729
Coefficient of variation (CV)1.5898985
Kurtosis98.043054
Mean258.70663
Median Absolute Deviation (MAD)75
Skewness6.8438803
Sum2216081
Variance169181.91
MonotonicityNot monotonic
2023-12-12T21:45:19.368234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 99
 
1.2%
9 99
 
1.2%
12 96
 
1.1%
13 88
 
1.0%
19 85
 
1.0%
16 82
 
1.0%
25 79
 
0.9%
21 79
 
0.9%
14 78
 
0.9%
18 75
 
0.9%
Other values (1198) 7706
90.0%
ValueCountFrequency (%)
1 4
 
< 0.1%
2 3
 
< 0.1%
3 11
 
0.1%
4 10
 
0.1%
5 16
 
0.2%
6 39
 
0.5%
7 44
0.5%
8 56
0.7%
9 99
1.2%
10 65
0.8%
ValueCountFrequency (%)
8542 1
< 0.1%
8083 1
< 0.1%
7882 1
< 0.1%
7681 1
< 0.1%
6867 1
< 0.1%
6865 1
< 0.1%
6770 1
< 0.1%
6560 1
< 0.1%
5240 1
< 0.1%
4821 1
< 0.1%

Interactions

2023-12-12T21:45:17.344417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:16.447393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:16.743001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:17.041772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:17.407063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:16.522539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:16.822462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:17.127344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:17.502403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:16.600100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:16.899106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:17.202359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:17.590005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:16.675571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:16.968541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:17.265265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:45:19.448360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기업방문자수개인방문자수미로그인방문자수
연번1.0000.3790.2930.259
기업방문자수0.3791.0000.9140.838
개인방문자수0.2930.9141.0000.699
미로그인방문자수0.2590.8380.6991.000
2023-12-12T21:45:19.539668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기업방문자수개인방문자수미로그인방문자수
연번1.000-0.389-0.262-0.291
기업방문자수-0.3891.0000.8130.911
개인방문자수-0.2620.8131.0000.812
미로그인방문자수-0.2910.9110.8121.000

Missing values

2023-12-12T21:45:17.676660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:45:17.752868image/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

연번방문일자기업방문자수개인방문자수미로그인방문자수
012022-01-01 00165180
122022-01-01 01202169
232022-01-01 0289143
342022-01-01 0371141
452022-01-01 0412139
562022-01-01 0520139
672022-01-01 0690137
782022-01-01 07120137
892022-01-01 08241176
9102022-01-01 09374214
연번방문일자기업방문자수개인방문자수미로그인방문자수
855685572022-12-31 1413113626
855785582022-12-31 158418508
855885592022-12-31 16888422
855985602022-12-31 17255191
856085612022-12-31 1813381
856185622022-12-31 194265
856285632022-12-31 2010152
856385642022-12-31 213358
856485652022-12-31 228841
856585662022-12-31 230762