Overview

Dataset statistics

Number of variables6
Number of observations216
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 KiB
Average record size in memory51.6 B

Variable types

Categorical4
Numeric2

Dataset

Description출국 및 입국심사 완료된 출입국자 수를 국민과 외국인으로 분류하여 월별 제공 (연도, 월, 내외국인, 승객승무원구분, 출입국구분, 출입국자수 )
Author법무부
URLhttps://www.data.go.kr/data/15099985/fileData.do

Alerts

출입국자 수 is highly overall correlated with 승객 승무원 구분High correlation
승객 승무원 구분 is highly overall correlated with 출입국자 수High correlation
출입국자 수 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:57:20.578782
Analysis finished2024-04-29 22:57:22.802906
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2022
96 
2023
96 
2024
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 96
44.4%
2023 96
44.4%
2024 24
 
11.1%

Length

2024-04-30T07:57:22.887138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:57:23.030507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 96
44.4%
2023 96
44.4%
2024 24
 
11.1%

월
Real number (ℝ)

Distinct12
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-30T07:57:23.175493image/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 deviation3.5672933
Coefficient of variation (CV)0.59454888
Kurtosis-1.2773508
Mean6
Median Absolute Deviation (MAD)3
Skewness0.17870175
Sum1296
Variance12.725581
MonotonicityNot monotonic
2024-04-30T07:57:23.277061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 24
11.1%
2 24
11.1%
3 24
11.1%
4 16
7.4%
5 16
7.4%
6 16
7.4%
7 16
7.4%
8 16
7.4%
9 16
7.4%
10 16
7.4%
Other values (2) 32
14.8%
ValueCountFrequency (%)
1 24
11.1%
2 24
11.1%
3 24
11.1%
4 16
7.4%
5 16
7.4%
6 16
7.4%
7 16
7.4%
8 16
7.4%
9 16
7.4%
10 16
7.4%
ValueCountFrequency (%)
12 16
7.4%
11 16
7.4%
10 16
7.4%
9 16
7.4%
8 16
7.4%
7 16
7.4%
6 16
7.4%
5 16
7.4%
4 16
7.4%
3 24
11.1%

국민 외국인 구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
국민
108 
외국인
108 

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 row외국인

Common Values

ValueCountFrequency (%)
국민 108
50.0%
외국인 108
50.0%

Length

2024-04-30T07:57:23.384470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:57:23.530761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국민 108
50.0%
외국인 108
50.0%

승객 승무원 구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
승객
108 
승무원
108 

Length

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

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row승객
2nd row승객
3rd row승무원
4th row승무원
5th row승객

Common Values

ValueCountFrequency (%)
승객 108
50.0%
승무원 108
50.0%

Length

2024-04-30T07:57:23.629834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:57:23.724970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승객 108
50.0%
승무원 108
50.0%

출입국 구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
입국
108 
출국
108 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
입국 108
50.0%
출국 108
50.0%

Length

2024-04-30T07:57:23.816866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:57:23.912387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입국 108
50.0%
출국 108
50.0%

출입국자 수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct216
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean506789.73
Minimum32244
Maximum2628592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-30T07:57:24.031674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32244
5-th percentile38363.75
Q160166.75
median130515.5
Q3859224.25
95-th percentile1976316
Maximum2628592
Range2596348
Interquartile range (IQR)799057.5

Descriptive statistics

Standard deviation659785.06
Coefficient of variation (CV)1.3018911
Kurtosis1.0178506
Mean506789.73
Median Absolute Deviation (MAD)90906.5
Skewness1.4527866
Sum1.0946658 × 108
Variance4.3531632 × 1011
MonotonicityNot monotonic
2024-04-30T07:57:24.174899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90325 1
 
0.5%
1017122 1
 
0.5%
126724 1
 
0.5%
115628 1
 
0.5%
932303 1
 
0.5%
934750 1
 
0.5%
66556 1
 
0.5%
64931 1
 
0.5%
1874156 1
 
0.5%
2028855 1
 
0.5%
Other values (206) 206
95.4%
ValueCountFrequency (%)
32244 1
0.5%
32401 1
0.5%
33786 1
0.5%
35010 1
0.5%
36621 1
0.5%
36844 1
0.5%
37111 1
0.5%
37394 1
0.5%
37397 1
0.5%
37459 1
0.5%
ValueCountFrequency (%)
2628592 1
0.5%
2512484 1
0.5%
2429262 1
0.5%
2377713 1
0.5%
2278053 1
0.5%
2229936 1
0.5%
2169465 1
0.5%
2136323 1
0.5%
2095064 1
0.5%
2028855 1
0.5%

Interactions

2024-04-30T07:57:22.386193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:57:22.027435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:57:22.465229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:57:22.155921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:57:24.264991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월국민 외국인 구분승객 승무원 구분출입국 구분출입국자 수
년1.0000.4400.0000.0000.0000.549
월0.4401.0000.0000.0000.0000.318
국민 외국인 구분0.0000.0001.0000.0000.0000.543
승객 승무원 구분0.0000.0000.0001.0000.0000.919
출입국 구분0.0000.0000.0000.0001.0000.000
출입국자 수0.5490.3180.5430.9190.0001.000
2024-04-30T07:57:24.370382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승객 승무원 구분년출입국 구분국민 외국인 구분
승객 승무원 구분1.0000.0000.0000.000
년0.0001.0000.0000.000
출입국 구분0.0000.0001.0000.000
국민 외국인 구분0.0000.0000.0001.000
2024-04-30T07:57:24.459447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월출입국자 수년국민 외국인 구분승객 승무원 구분출입국 구분
월1.0000.1580.2900.0000.0000.000
출입국자 수0.1581.0000.3870.4090.7490.000
년0.2900.3871.0000.0000.0000.000
국민 외국인 구분0.0000.4090.0001.0000.0000.000
승객 승무원 구분0.0000.7490.0000.0001.0000.000
출입국 구분0.0000.0000.0000.0000.0001.000

Missing values

2024-04-30T07:57:22.589946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:57:22.735138image/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

년월국민 외국인 구분승객 승무원 구분출입국 구분출입국자 수
020221국민승객입국90325
120221국민승객출국110876
220221국민승무원입국37397
320221국민승무원출국37459
420221외국인승객입국49980
520221외국인승객출국59749
620221외국인승무원입국39774
720221외국인승무원출국39444
820222국민승객입국81128
920222국민승객출국81003
년월국민 외국인 구분승객 승무원 구분출입국 구분출입국자 수
20620242외국인승무원입국67006
20720242외국인승무원출국59705
20820243국민승객입국2169465
20920243국민승객출국2005041
21020243국민승무원입국154494
21120243국민승무원출국139921
21220243외국인승객입국1445108
21320243외국인승객출국1253928
21420243외국인승무원입국98709
21520243외국인승무원출국75511