Overview

Dataset statistics

Number of variables3
Number of observations88
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory28.5 B

Variable types

Numeric3

Dataset

DescriptionAPEC 21개 회원국과 구축된 네트워크를 기반으로 우리 기관 및 중소기업의 글로벌화 지원 및 산업협력기회 창출목적으로 구축된 APEC 중소기업혁신센터 홈페이지의 연도별 방문자수 현황
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15071272/fileData.do

Alerts

방문자수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:25:03.798964
Analysis finished2023-12-12 04:25:04.891957
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct8
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.3068
Minimum2016
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-12T13:25:04.943038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2016
Q12017
median2019
Q32021
95-th percentile2023
Maximum2023
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.2710469
Coefficient of variation (CV)0.0011246666
Kurtosis-1.2443547
Mean2019.3068
Median Absolute Deviation (MAD)2
Skewness0.08578789
Sum177699
Variance5.1576541
MonotonicityIncreasing
2023-12-12T13:25:05.091692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2016 12
13.6%
2017 12
13.6%
2018 12
13.6%
2019 12
13.6%
2022 12
13.6%
2021 11
12.5%
2020 9
10.2%
2023 8
9.1%
ValueCountFrequency (%)
2016 12
13.6%
2017 12
13.6%
2018 12
13.6%
2019 12
13.6%
2020 9
10.2%
2021 11
12.5%
2022 12
13.6%
2023 8
9.1%
ValueCountFrequency (%)
2023 8
9.1%
2022 12
13.6%
2021 11
12.5%
2020 9
10.2%
2019 12
13.6%
2018 12
13.6%
2017 12
13.6%
2016 12
13.6%

월
Real number (ℝ)

Distinct12
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2272727
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-12T13:25:05.211704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.3484506
Coefficient of variation (CV)0.53770739
Kurtosis-1.112618
Mean6.2272727
Median Absolute Deviation (MAD)3
Skewness0.10961191
Sum548
Variance11.212121
MonotonicityNot monotonic
2023-12-12T13:25:05.324718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 8
9.1%
3 8
9.1%
4 8
9.1%
5 8
9.1%
6 8
9.1%
7 8
9.1%
8 8
9.1%
1 7
8.0%
9 7
8.0%
10 6
6.8%
Other values (2) 12
13.6%
ValueCountFrequency (%)
1 7
8.0%
2 8
9.1%
3 8
9.1%
4 8
9.1%
5 8
9.1%
6 8
9.1%
7 8
9.1%
8 8
9.1%
9 7
8.0%
10 6
6.8%
ValueCountFrequency (%)
12 6
6.8%
11 6
6.8%
10 6
6.8%
9 7
8.0%
8 8
9.1%
7 8
9.1%
6 8
9.1%
5 8
9.1%
4 8
9.1%
3 8
9.1%

방문자수
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21608.557
Minimum2256
Maximum48963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-12T13:25:05.446820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2256
5-th percentile8385.6
Q112907.25
median21031
Q329394.25
95-th percentile36075.6
Maximum48963
Range46707
Interquartile range (IQR)16487

Descriptive statistics

Standard deviation10361.272
Coefficient of variation (CV)0.47949859
Kurtosis-0.692362
Mean21608.557
Median Absolute Deviation (MAD)8301.5
Skewness0.28701119
Sum1901553
Variance1.0735597 × 108
MonotonicityNot monotonic
2023-12-12T13:25:05.630032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42611 1
 
1.1%
34570 1
 
1.1%
20505 1
 
1.1%
17914 1
 
1.1%
23895 1
 
1.1%
19558 1
 
1.1%
19935 1
 
1.1%
20591 1
 
1.1%
24023 1
 
1.1%
20374 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
2256 1
1.1%
4065 1
1.1%
4301 1
1.1%
5464 1
1.1%
8177 1
1.1%
8773 1
1.1%
8961 1
1.1%
9011 1
1.1%
9190 1
1.1%
9283 1
1.1%
ValueCountFrequency (%)
48963 1
1.1%
43030 1
1.1%
42611 1
1.1%
42274 1
1.1%
36420 1
1.1%
35436 1
1.1%
35027 1
1.1%
34961 1
1.1%
34570 1
1.1%
33920 1
1.1%

Interactions

2023-12-12T13:25:04.402946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:03.865344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:04.154192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:04.481870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:03.955041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:04.231383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:04.635417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:04.058759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:04.314410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:25:05.740410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월방문자수
연도1.0000.0000.771
월0.0001.0000.000
방문자수0.7710.0001.000
2023-12-12T13:25:05.855508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월방문자수
연도1.000-0.086-0.188
월-0.0861.0000.159
방문자수-0.1880.1591.000

Missing values

2023-12-12T13:25:04.784498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:25:04.863461image/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
02016142611
12016225056
22016321471
32016414796
42016516109
52016613320
62016712961
72016815582
82016911757
920161015431
연도월방문자수
7820221148963
792022125464
80202314065
81202329011
82202339621
83202348961
84202359283
85202368773
86202379324
87202389190