Overview

Dataset statistics

Number of variables3
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory942.0 B
Average record size in memory31.4 B

Variable types

Categorical1
Numeric2

Dataset

Description중소벤처기업진흥공단의 해외기술교류사업 온라인 플랫폼 연도별 방문수 현황으로써 연도, 월, 방문수 정보를 제공합니다.
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15107905/fileData.do

Alerts

방문수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:51:22.051406
Analysis finished2023-12-12 02:51:22.602251
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021
12 
2022
12 
2023
6 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 12
40.0%
2022 12
40.0%
2023 6
20.0%

Length

2023-12-12T11:51:22.697456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:51:22.833815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 12
40.0%
2022 12
40.0%
2023 6
20.0%

월
Real number (ℝ)

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T11:51:22.924604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5.5
Q38.75
95-th percentile11.55
Maximum12
Range11
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation3.4576253
Coefficient of variation (CV)0.58603818
Kurtosis-1.0844727
Mean5.9
Median Absolute Deviation (MAD)2.5
Skewness0.27800186
Sum177
Variance11.955172
MonotonicityNot monotonic
2023-12-12T11:51:23.035571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 3
10.0%
2 3
10.0%
3 3
10.0%
4 3
10.0%
5 3
10.0%
6 3
10.0%
7 2
6.7%
8 2
6.7%
9 2
6.7%
10 2
6.7%
Other values (2) 4
13.3%
ValueCountFrequency (%)
1 3
10.0%
2 3
10.0%
3 3
10.0%
4 3
10.0%
5 3
10.0%
6 3
10.0%
7 2
6.7%
8 2
6.7%
9 2
6.7%
10 2
6.7%
ValueCountFrequency (%)
12 2
6.7%
11 2
6.7%
10 2
6.7%
9 2
6.7%
8 2
6.7%
7 2
6.7%
6 3
10.0%
5 3
10.0%
4 3
10.0%
3 3
10.0%

방문수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean905.93333
Minimum279
Maximum3342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T11:51:23.150754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum279
5-th percentile363.8
Q1547.5
median809.5
Q31043.25
95-th percentile1481.7
Maximum3342
Range3063
Interquartile range (IQR)495.75

Descriptive statistics

Standard deviation582.39085
Coefficient of variation (CV)0.64286281
Kurtosis9.9977692
Mean905.93333
Median Absolute Deviation (MAD)260.5
Skewness2.6251329
Sum27178
Variance339179.1
MonotonicityNot monotonic
2023-12-12T11:51:23.281167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
444 1
 
3.3%
797 1
 
3.3%
552 1
 
3.3%
1022 1
 
3.3%
1048 1
 
3.3%
3342 1
 
3.3%
815 1
 
3.3%
488 1
 
3.3%
546 1
 
3.3%
1261 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
279 1
3.3%
362 1
3.3%
366 1
3.3%
398 1
3.3%
444 1
3.3%
478 1
3.3%
488 1
3.3%
546 1
3.3%
552 1
3.3%
567 1
3.3%
ValueCountFrequency (%)
3342 1
3.3%
1497 1
3.3%
1463 1
3.3%
1461 1
3.3%
1335 1
3.3%
1261 1
3.3%
1256 1
3.3%
1048 1
3.3%
1029 1
3.3%
1022 1
3.3%

Interactions

2023-12-12T11:51:22.285592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:51:22.129678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:51:22.384755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:51:22.206167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:51:23.387489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월방문수
연도1.0000.0000.130
월0.0001.0000.620
방문수0.1300.6201.000
2023-12-12T11:51:23.524734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월방문수연도
월1.0000.1010.000
방문수0.1011.0000.099
연도0.0000.0991.000

Missing values

2023-12-12T11:51:22.495663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:51:22.574824image/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

연도월방문수
020211444
120212398
2202131497
320214721
420215609
520216973
6202171335
720218804
820219829
9202110478
연도월방문수
2020229584
212022101461
222022111261
23202212546
2420231488
2520232815
26202333342
27202341048
28202351022
2920236552