Overview

Dataset statistics

Number of variables5
Number of observations1040
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.8 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description2014년부터 업데이트시점까지 연도별 전국 공,항만별 국민 및 외국인의 출국 및 입국심사 처리현황을 제공 (연도, 공항만, 내외국인, 출입국자)
Author법무부
URLhttps://www.data.go.kr/data/15099992/fileData.do

Reproduction

Analysis started2023-12-12 15:23:54.383762
Analysis finished2023-12-12 15:23:55.174461
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년
Real number (ℝ)

Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.1192
Minimum2014
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-13T00:23:55.223174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2014
Q12016
median2018
Q32020
95-th percentile2022
Maximum2022
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5532284
Coefficient of variation (CV)0.0012651524
Kurtosis-1.1957122
Mean2018.1192
Median Absolute Deviation (MAD)2
Skewness-0.056806041
Sum2098844
Variance6.5189753
MonotonicityIncreasing
2023-12-13T00:23:55.336047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2017 120
11.5%
2018 120
11.5%
2019 120
11.5%
2020 120
11.5%
2021 120
11.5%
2022 120
11.5%
2015 108
10.4%
2016 108
10.4%
2014 104
10.0%
ValueCountFrequency (%)
2014 104
10.0%
2015 108
10.4%
2016 108
10.4%
2017 120
11.5%
2018 120
11.5%
2019 120
11.5%
2020 120
11.5%
2021 120
11.5%
2022 120
11.5%
ValueCountFrequency (%)
2022 120
11.5%
2021 120
11.5%
2020 120
11.5%
2019 120
11.5%
2018 120
11.5%
2017 120
11.5%
2016 108
10.4%
2015 108
10.4%
2014 104
10.0%

공항만
Text

Distinct51
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2023-12-13T00:23:55.574040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.2
Min length2

Characters and Unicode

Total characters3328
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천공항
2nd row김해공항
3rd row김포공항
4th row제주
5th row부산
ValueCountFrequency (%)
인천공항 36
 
3.5%
기타 36
 
3.5%
김포공항 36
 
3.5%
무안공항 36
 
3.5%
김해공항 36
 
3.5%
광양항 32
 
3.1%
양양공항 32
 
3.1%
동해항 32
 
3.1%
평택항 32
 
3.1%
제주공항 32
 
3.1%
Other values (41) 700
67.3%
2023-12-13T00:23:56.046142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
항 956
28.7%
공 328
 
9.9%
산 180
 
5.4%
천 132
 
4.0%
포 108
 
3.2%
양 108
 
3.2%
주 104
 
3.1%
제 104
 
3.1%
인 72
 
2.2%
김 72
 
2.2%
Other values (33) 1164
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3328
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
항 956
28.7%
공 328
 
9.9%
산 180
 
5.4%
천 132
 
4.0%
포 108
 
3.2%
양 108
 
3.2%
주 104
 
3.1%
제 104
 
3.1%
인 72
 
2.2%
김 72
 
2.2%
Other values (33) 1164
35.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3328
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
항 956
28.7%
공 328
 
9.9%
산 180
 
5.4%
천 132
 
4.0%
포 108
 
3.2%
양 108
 
3.2%
주 104
 
3.1%
제 104
 
3.1%
인 72
 
2.2%
김 72
 
2.2%
Other values (33) 1164
35.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3328
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
항 956
28.7%
공 328
 
9.9%
산 180
 
5.4%
천 132
 
4.0%
포 108
 
3.2%
양 108
 
3.2%
주 104
 
3.1%
제 104
 
3.1%
인 72
 
2.2%
김 72
 
2.2%
Other values (33) 1164
35.0%

출입국 구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
입국
520 
출국
520 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
입국 520
50.0%
출국 520
50.0%

Length

2023-12-13T00:23:56.171242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:23:56.258153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입국 520
50.0%
출국 520
50.0%

국민 외국인
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
국민
520 
외국인
520 

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국민 520
50.0%
외국인 520
50.0%

Length

2023-12-13T00:23:56.355381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:23:56.469565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국민 520
50.0%
외국인 520
50.0%

출입국자
Text

Distinct1003
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2023-12-13T00:23:56.797719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.725
Min length1

Characters and Unicode

Total characters4914
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique989 ?
Unique (%)95.1%

Sample

1st row12313128
2nd row1861788
3rd row1051704
4th row70284
5th row492690
ValueCountFrequency (%)
0 18
 
1.7%
4 6
 
0.6%
1 3
 
0.3%
2 3
 
0.3%
3 3
 
0.3%
268 2
 
0.2%
4528 2
 
0.2%
3,806 2
 
0.2%
371 2
 
0.2%
13 2
 
0.2%
Other values (993) 997
95.9%
2023-12-13T00:23:57.320989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 689
14.0%
2 555
11.3%
3 511
10.4%
4 500
10.2%
6 464
9.4%
5 442
9.0%
0 437
8.9%
7 434
8.8%
9 405
8.2%
8 397
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4834
98.4%
Other Punctuation 80
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 689
14.3%
2 555
11.5%
3 511
10.6%
4 500
10.3%
6 464
9.6%
5 442
9.1%
0 437
9.0%
7 434
9.0%
9 405
8.4%
8 397
8.2%
Other Punctuation
ValueCountFrequency (%)
, 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4914
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 689
14.0%
2 555
11.3%
3 511
10.4%
4 500
10.2%
6 464
9.4%
5 442
9.0%
0 437
8.9%
7 434
8.8%
9 405
8.2%
8 397
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 689
14.0%
2 555
11.3%
3 511
10.4%
4 500
10.2%
6 464
9.4%
5 442
9.0%
0 437
8.9%
7 434
8.8%
9 405
8.2%
8 397
8.1%

Interactions

2023-12-13T00:23:54.588629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:23:57.418668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년공항만출입국 구분국민 외국인
년1.0000.0000.0000.000
공항만0.0001.0000.0000.000
출입국 구분0.0000.0001.0000.000
국민 외국인0.0000.0000.0001.000
2023-12-13T00:23:57.499730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출입국 구분국민 외국인
출입국 구분1.0000.000
국민 외국인0.0001.000
2023-12-13T00:23:57.614344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년출입국 구분국민 외국인
년1.0000.0000.000
출입국 구분0.0001.0000.000
국민 외국인0.0000.0001.000

Missing values

2023-12-13T00:23:55.036218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:23:55.138665image/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

년공항만출입국 구분국민 외국인출입국자
02014인천공항입국국민12313128
12014김해공항입국국민1861788
22014김포공항입국국민1051704
32014제주입국국민70284
42014부산입국국민492690
52014인천입국국민109146
62014평택입국국민119011
72014청주입국국민51955
82014군산입국국민37431
92014대구입국국민71672
년공항만출입국 구분국민 외국인출입국자
10302022창원항출국외국인11550
10312022속초항출국외국인176
10322022양양공항출국외국인5217
10332022당진항출국외국인7332
10342022거제항출국외국인2478
10352022목포항출국외국인3223
10362022통영항출국외국인1558
10372022사천항출국외국인669
10382022성남공항출국외국인982
10392022기타출국외국인0