Overview

Dataset statistics

Number of variables12
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory110.3 B

Variable types

Text1
Numeric11

Dataset

Description○ 전국 공항·만을 통해 출국심사 완료된 국민(승객)을 행선국(도착지)별로 분류하여 월별데이터 제공 (2023년 1월~ )○ 행선국은 최초 도착지 기준으로 산출- 2006. 8. 1. ‘출입국심사 절차 간소화 방안’ 시행으로 국민의 출국신고서 제출이 생략됨에 따라 행선국은 최종 목적지와 다를 수 있음)
Author법무부
URLhttps://www.data.go.kr/data/15121827/fileData.do

Alerts

2023년 1월 is highly overall correlated with 2023년 2월 and 9 other fieldsHigh correlation
2023년 2월 is highly overall correlated with 2023년 1월 and 9 other fieldsHigh correlation
2023년 3월 is highly overall correlated with 2023년 1월 and 9 other fieldsHigh correlation
2023년 4월 is highly overall correlated with 2023년 1월 and 9 other fieldsHigh correlation
2023년 5월 is highly overall correlated with 2023년 1월 and 9 other fieldsHigh correlation
2023년 6월 is highly overall correlated with 2023년 1월 and 9 other fieldsHigh correlation
2023년 7월 is highly overall correlated with 2023년 1월 and 9 other fieldsHigh correlation
2023년 8월 is highly overall correlated with 2023년 1월 and 9 other fieldsHigh correlation
2023년 9월 is highly overall correlated with 2023년 1월 and 9 other fieldsHigh correlation
2023년 10월 is highly overall correlated with 2023년 1월 and 9 other fieldsHigh correlation
2023년 11월 is highly overall correlated with 2023년 1월 and 9 other fieldsHigh correlation
행선국(도착지별) has unique valuesUnique
2023년 1월 has unique valuesUnique
2023년 2월 has unique valuesUnique
2023년 3월 has unique valuesUnique
2023년 4월 has unique valuesUnique
2023년 5월 has unique valuesUnique
2023년 6월 has unique valuesUnique
2023년 7월 has unique valuesUnique
2023년 8월 has unique valuesUnique
2023년 9월 has unique valuesUnique
2023년 10월 has unique valuesUnique
2023년 11월 has unique valuesUnique
2023년 11월 has 1 (2.5%) zerosZeros

Reproduction

Analysis started2023-12-23 07:32:07.794284
Analysis finished2023-12-23 07:33:09.867572
Duration1 minute and 2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행선국(도착지별)
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-23T07:33:10.275073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.6
Min length1

Characters and Unicode

Total characters144
Distinct characters76
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

Unique40 ?
Unique (%)100.0%

Sample

1st row일본
2nd row베트남
3rd row타이
4th row필리핀
5th row미국
ValueCountFrequency (%)
일본 1
 
2.5%
베트남 1
 
2.5%
폴란드 1
 
2.5%
카타르 1
 
2.5%
이탈리아 1
 
2.5%
핀란드 1
 
2.5%
뉴질랜드 1
 
2.5%
스페인 1
 
2.5%
네덜란드 1
 
2.5%
헝가리 1
 
2.5%
Other values (30) 30
75.0%
2023-12-23T07:33:11.870325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 11
 
7.6%
스 8
 
5.6%
리 7
 
4.9%
이 5
 
3.5%
오 4
 
2.8%
트 4
 
2.8%
드 4
 
2.8%
타 4
 
2.8%
일 3
 
2.1%
네 3
 
2.1%
Other values (66) 91
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 11
 
7.6%
스 8
 
5.6%
리 7
 
4.9%
이 5
 
3.5%
오 4
 
2.8%
트 4
 
2.8%
드 4
 
2.8%
타 4
 
2.8%
일 3
 
2.1%
네 3
 
2.1%
Other values (66) 91
63.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 11
 
7.6%
스 8
 
5.6%
리 7
 
4.9%
이 5
 
3.5%
오 4
 
2.8%
트 4
 
2.8%
드 4
 
2.8%
타 4
 
2.8%
일 3
 
2.1%
네 3
 
2.1%
Other values (66) 91
63.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 11
 
7.6%
스 8
 
5.6%
리 7
 
4.9%
이 5
 
3.5%
오 4
 
2.8%
트 4
 
2.8%
드 4
 
2.8%
타 4
 
2.8%
일 3
 
2.1%
네 3
 
2.1%
Other values (66) 91
63.2%

2023년 1월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44636.725
Minimum1004
Maximum576313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-23T07:33:12.479612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004
5-th percentile1687.1
Q14807.25
median10887
Q326545.5
95-th percentile161489.75
Maximum576313
Range575309
Interquartile range (IQR)21738.25

Descriptive statistics

Standard deviation101524.57
Coefficient of variation (CV)2.2744627
Kurtosis20.107667
Mean44636.725
Median Absolute Deviation (MAD)8406
Skewness4.2104958
Sum1785469
Variance1.0307238 × 1010
MonotonicityNot monotonic
2023-12-23T07:33:13.869174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
576313 1
 
2.5%
9622 1
 
2.5%
7482 1
 
2.5%
5793 1
 
2.5%
5495 1
 
2.5%
5223 1
 
2.5%
4951 1
 
2.5%
4847 1
 
2.5%
4688 1
 
2.5%
4250 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1004 1
2.5%
1632 1
2.5%
1690 1
2.5%
1693 1
2.5%
1863 1
2.5%
1883 1
2.5%
2437 1
2.5%
2525 1
2.5%
4250 1
2.5%
4688 1
2.5%
ValueCountFrequency (%)
576313 1
2.5%
273775 1
2.5%
155580 1
2.5%
129609 1
2.5%
108754 1
2.5%
100932 1
2.5%
58781 1
2.5%
40366 1
2.5%
40305 1
2.5%
35400 1
2.5%

2023년 2월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43183.425
Minimum826
Maximum566582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-23T07:33:14.500933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum826
5-th percentile1067.6
Q14129.25
median11998
Q326984
95-th percentile150889.65
Maximum566582
Range565756
Interquartile range (IQR)22854.75

Descriptive statistics

Standard deviation99673.034
Coefficient of variation (CV)2.3081317
Kurtosis20.431067
Mean43183.425
Median Absolute Deviation (MAD)8426
Skewness4.2590738
Sum1727337
Variance9.9347137 × 109
MonotonicityNot monotonic
2023-12-23T07:33:15.097471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
566582 1
 
2.5%
11444 1
 
2.5%
7222 1
 
2.5%
4350 1
 
2.5%
4987 1
 
2.5%
5132 1
 
2.5%
4978 1
 
2.5%
4283 1
 
2.5%
3668 1
 
2.5%
3476 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
826 1
2.5%
927 1
2.5%
1075 1
2.5%
1193 1
2.5%
1522 1
2.5%
1753 1
2.5%
1844 1
2.5%
2459 1
2.5%
3476 1
2.5%
3668 1
2.5%
ValueCountFrequency (%)
566582 1
2.5%
274516 1
2.5%
144383 1
2.5%
125872 1
2.5%
107816 1
2.5%
68005 1
2.5%
56932 1
2.5%
56169 1
2.5%
39674 1
2.5%
37463 1
2.5%

2023년 3월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36882.725
Minimum643
Maximum471099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-23T07:33:16.049697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum643
5-th percentile985.8
Q13505.75
median7970.5
Q325928.25
95-th percentile123605.05
Maximum471099
Range470456
Interquartile range (IQR)22422.5

Descriptive statistics

Standard deviation84280.033
Coefficient of variation (CV)2.2850815
Kurtosis19.081139
Mean36882.725
Median Absolute Deviation (MAD)6694.5
Skewness4.1301898
Sum1475309
Variance7.1031239 × 109
MonotonicityNot monotonic
2023-12-23T07:33:17.025794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
471099 1
 
2.5%
7616 1
 
2.5%
8650 1
 
2.5%
3639 1
 
2.5%
3766 1
 
2.5%
5201 1
 
2.5%
3585 1
 
2.5%
4649 1
 
2.5%
2944 1
 
2.5%
3268 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
643 1
2.5%
849 1
2.5%
993 1
2.5%
1033 1
2.5%
1519 1
2.5%
1533 1
2.5%
2171 1
2.5%
2944 1
2.5%
2985 1
2.5%
3268 1
2.5%
ValueCountFrequency (%)
471099 1
2.5%
248493 1
2.5%
117032 1
2.5%
103822 1
2.5%
103748 1
2.5%
63329 1
2.5%
48769 1
2.5%
36831 1
2.5%
36268 1
2.5%
25968 1
2.5%

2023년 4월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37514.425
Minimum892
Maximum468221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-23T07:33:18.556948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum892
5-th percentile937.05
Q13956
median8847.5
Q322560
95-th percentile134827.15
Maximum468221
Range467329
Interquartile range (IQR)18604

Descriptive statistics

Standard deviation83870.325
Coefficient of variation (CV)2.235682
Kurtosis18.874516
Mean37514.425
Median Absolute Deviation (MAD)6333.5
Skewness4.1083862
Sum1500577
Variance7.0342314 × 109
MonotonicityNot monotonic
2023-12-23T07:33:19.425345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
468221 1
 
2.5%
9737 1
 
2.5%
14292 1
 
2.5%
4393 1
 
2.5%
4148 1
 
2.5%
7783 1
 
2.5%
4389 1
 
2.5%
6175 1
 
2.5%
3016 1
 
2.5%
2967 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
892 1
2.5%
900 1
2.5%
939 1
2.5%
945 1
2.5%
1604 1
2.5%
2117 1
2.5%
2967 1
2.5%
3016 1
2.5%
3267 1
2.5%
3380 1
2.5%
ValueCountFrequency (%)
468221 1
2.5%
250730 1
2.5%
128727 1
2.5%
93231 1
2.5%
85343 1
2.5%
74421 1
2.5%
55962 1
2.5%
46406 1
2.5%
36265 1
2.5%
33675 1
2.5%

2023년 5월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42179.7
Minimum546
Maximum516279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-23T07:33:19.917836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum546
5-th percentile1484.65
Q14698
median12589
Q325362.75
95-th percentile153453.15
Maximum516279
Range515733
Interquartile range (IQR)20664.75

Descriptive statistics

Standard deviation91183.625
Coefficient of variation (CV)2.1617893
Kurtosis19.567487
Mean42179.7
Median Absolute Deviation (MAD)9080
Skewness4.1501099
Sum1687188
Variance8.3144535 × 109
MonotonicityNot monotonic
2023-12-23T07:33:20.651930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
516279 1
 
2.5%
13793 1
 
2.5%
16933 1
 
2.5%
5805 1
 
2.5%
3583 1
 
2.5%
10471 1
 
2.5%
5577 1
 
2.5%
6901 1
 
2.5%
3435 1
 
2.5%
2377 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
546 1
2.5%
1364 1
2.5%
1491 1
2.5%
1664 1
2.5%
2262 1
2.5%
2377 1
2.5%
2419 1
2.5%
3435 1
2.5%
3583 1
2.5%
4278 1
2.5%
ValueCountFrequency (%)
516279 1
2.5%
253890 1
2.5%
148167 1
2.5%
107003 1
2.5%
94252 1
2.5%
86559 1
2.5%
68499 1
2.5%
54757 1
2.5%
43182 1
2.5%
29511 1
2.5%

2023년 6월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44388.7
Minimum323
Maximum528135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-23T07:33:21.384001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum323
5-th percentile1145.15
Q13873.75
median14000
Q324749.25
95-th percentile168710.8
Maximum528135
Range527812
Interquartile range (IQR)20875.5

Descriptive statistics

Standard deviation95332.052
Coefficient of variation (CV)2.1476649
Kurtosis17.715127
Mean44388.7
Median Absolute Deviation (MAD)10151.5
Skewness3.9433866
Sum1775548
Variance9.0882001 × 109
MonotonicityNot monotonic
2023-12-23T07:33:21.877786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
528135 1
 
2.5%
17182 1
 
2.5%
15780 1
 
2.5%
6066 1
 
2.5%
2793 1
 
2.5%
9414 1
 
2.5%
7270 1
 
2.5%
6325 1
 
2.5%
3899 1
 
2.5%
2829 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
323 1
2.5%
1110 1
2.5%
1147 1
2.5%
1337 1
2.5%
2508 1
2.5%
2793 1
2.5%
2829 1
2.5%
3104 1
2.5%
3126 1
2.5%
3798 1
2.5%
ValueCountFrequency (%)
528135 1
2.5%
274499 1
2.5%
163143 1
2.5%
121320 1
2.5%
112142 1
2.5%
92293 1
2.5%
89300 1
2.5%
42825 1
2.5%
42649 1
2.5%
27981 1
2.5%

2023년 7월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53924.275
Minimum644
Maximum613490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-23T07:33:22.466103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum644
5-th percentile1893.3
Q15986.75
median16734
Q334921.75
95-th percentile187347.6
Maximum613490
Range612846
Interquartile range (IQR)28935

Descriptive statistics

Standard deviation112171.02
Coefficient of variation (CV)2.0801581
Kurtosis16.676463
Mean53924.275
Median Absolute Deviation (MAD)12323
Skewness3.832722
Sum2156971
Variance1.2582337 × 1010
MonotonicityNot monotonic
2023-12-23T07:33:23.059978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
613490 1
 
2.5%
20560 1
 
2.5%
14235 1
 
2.5%
6497 1
 
2.5%
4189 1
 
2.5%
8217 1
 
2.5%
7094 1
 
2.5%
6632 1
 
2.5%
4456 1
 
2.5%
4366 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
644 1
2.5%
1386 1
2.5%
1920 1
2.5%
2146 1
2.5%
3521 1
2.5%
3714 1
2.5%
3999 1
2.5%
4189 1
2.5%
4366 1
2.5%
4456 1
2.5%
ValueCountFrequency (%)
613490 1
2.5%
342076 1
2.5%
179204 1
2.5%
146858 1
2.5%
138530 1
2.5%
120956 1
2.5%
106379 1
2.5%
62284 1
2.5%
47716 1
2.5%
45628 1
2.5%

2023년 8월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52408.05
Minimum515
Maximum560622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-23T07:33:23.904204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum515
5-th percentile1620.75
Q14977
median14184
Q335672.75
95-th percentile190286.1
Maximum560622
Range560107
Interquartile range (IQR)30695.75

Descriptive statistics

Standard deviation106387.27
Coefficient of variation (CV)2.0299796
Kurtosis14.307265
Mean52408.05
Median Absolute Deviation (MAD)10991.5
Skewness3.5761249
Sum2096322
Variance1.1318252 × 1010
MonotonicityNot monotonic
2023-12-23T07:33:24.953402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
560622 1
 
2.5%
19656 1
 
2.5%
12790 1
 
2.5%
6328 1
 
2.5%
2439 1
 
2.5%
7730 1
 
2.5%
5383 1
 
2.5%
6616 1
 
2.5%
3759 1
 
2.5%
3246 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
515 1
2.5%
1464 1
2.5%
1629 1
2.5%
2046 1
2.5%
2439 1
2.5%
3035 1
2.5%
3139 1
2.5%
3246 1
2.5%
3664 1
2.5%
3759 1
2.5%
ValueCountFrequency (%)
560622 1
2.5%
350724 1
2.5%
181842 1
2.5%
140075 1
2.5%
136856 1
2.5%
134504 1
2.5%
102015 1
2.5%
56227 1
2.5%
48132 1
2.5%
44351 1
2.5%

2023년 9월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50508
Minimum968
Maximum559029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-23T07:33:25.747179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum968
5-th percentile1653.2
Q15091.75
median15929
Q330526.25
95-th percentile177765.7
Maximum559029
Range558061
Interquartile range (IQR)25434.5

Descriptive statistics

Standard deviation101684.92
Coefficient of variation (CV)2.0132438
Kurtosis16.648565
Mean50508
Median Absolute Deviation (MAD)11956.5
Skewness3.8037785
Sum2020320
Variance1.0339822 × 1010
MonotonicityNot monotonic
2023-12-23T07:33:27.059931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
559029 1
 
2.5%
16078 1
 
2.5%
15780 1
 
2.5%
6144 1
 
2.5%
4002 1
 
2.5%
12312 1
 
2.5%
8111 1
 
2.5%
6954 1
 
2.5%
4218 1
 
2.5%
3634 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
968 1
2.5%
1619 1
2.5%
1655 1
2.5%
2735 1
2.5%
3149 1
2.5%
3415 1
2.5%
3634 1
2.5%
4002 1
2.5%
4106 1
2.5%
4218 1
2.5%
ValueCountFrequency (%)
559029 1
2.5%
299265 1
2.5%
171371 1
2.5%
136556 1
2.5%
121406 1
2.5%
118501 1
2.5%
109459 1
2.5%
64422 1
2.5%
50700 1
2.5%
30569 1
2.5%

2023년 10월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51166.575
Minimum320
Maximum609713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-23T07:33:28.240919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum320
5-th percentile1419.7
Q14341.25
median14546.5
Q331251.5
95-th percentile192274.55
Maximum609713
Range609393
Interquartile range (IQR)26910.25

Descriptive statistics

Standard deviation109248.44
Coefficient of variation (CV)2.1351524
Kurtosis18.155842
Mean51166.575
Median Absolute Deviation (MAD)10479.5
Skewness3.9759258
Sum2046663
Variance1.1935221 × 1010
MonotonicityNot monotonic
2023-12-23T07:33:29.113264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
609713 1
 
2.5%
15890 1
 
2.5%
17207 1
 
2.5%
4291 1
 
2.5%
4294 1
 
2.5%
13203 1
 
2.5%
6720 1
 
2.5%
5970 1
 
2.5%
3148 1
 
2.5%
4357 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
320 1
2.5%
1072 1
2.5%
1438 1
2.5%
2075 1
2.5%
2298 1
2.5%
2648 1
2.5%
3148 1
2.5%
3843 1
2.5%
4291 1
2.5%
4294 1
2.5%
ValueCountFrequency (%)
609713 1
2.5%
303264 1
2.5%
186433 1
2.5%
148735 1
2.5%
116407 1
2.5%
115377 1
2.5%
95103 1
2.5%
69222 1
2.5%
46855 1
2.5%
32156 1
2.5%

2023년 11월
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51638.325
Minimum0
Maximum633114
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-23T07:33:29.774993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile928.65
Q14100
median12543
Q334697.5
95-th percentile188221.7
Maximum633114
Range633114
Interquartile range (IQR)30597.5

Descriptive statistics

Standard deviation113925.02
Coefficient of variation (CV)2.2062106
Kurtosis18.174391
Mean51638.325
Median Absolute Deviation (MAD)10166
Skewness3.9940429
Sum2065533
Variance1.297891 × 1010
MonotonicityNot monotonic
2023-12-23T07:33:30.676264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
633114 1
 
2.5%
13179 1
 
2.5%
10391 1
 
2.5%
3731 1
 
2.5%
6873 1
 
2.5%
12424 1
 
2.5%
6267 1
 
2.5%
4223 1
 
2.5%
2352 1
 
2.5%
4761 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
0 1
2.5%
409 1
2.5%
956 1
2.5%
1191 1
2.5%
1251 1
2.5%
1889 1
2.5%
2352 1
2.5%
2402 1
2.5%
2838 1
2.5%
3731 1
2.5%
ValueCountFrequency (%)
633114 1
2.5%
327790 1
2.5%
180876 1
2.5%
132812 1
2.5%
130886 1
2.5%
124206 1
2.5%
82039 1
2.5%
79577 1
2.5%
42693 1
2.5%
41212 1
2.5%

Interactions

2023-12-23T07:33:03.820915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:09.305372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:16.300103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:21.151744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:26.530999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:31.581675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:37.457514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:43.044769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:49.015776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:54.157106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:59.201027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:04.175249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:10.093910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:16.733251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:21.570622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:26.949132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:32.013883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:37.927848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:43.887689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:49.641400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:54.703005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:59.572998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:04.644751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:10.938171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:17.157970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:22.284073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:27.366559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:32.600050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:38.313269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:44.288971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:50.149464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:55.277010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:59.932828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:05.060115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:11.513148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:17.624135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:22.973736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:27.989164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:33.163820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:38.675261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:44.684164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:50.706756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:55.534382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:00.382044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:05.479812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:12.417034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:17.931817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:23.393383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:28.361212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:33.860782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:38.909789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:45.241852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:51.078040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:55.984393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:00.733539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:05.867805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:12.934419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:18.387804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:23.884795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:28.708469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:34.369403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:39.533222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:45.952442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:51.712197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:56.507019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:01.232013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:06.194983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:13.477830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:18.807325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:24.390646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:29.062582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:34.756137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:40.006420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:46.224668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:52.235395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:57.016041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:01.813777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:06.546325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:14.007227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:19.187045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:24.793465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:29.608820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:35.302348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:40.528471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:46.938235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:52.682828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:57.613093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:02.210588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:06.874277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:14.658277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:19.589636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:25.241515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:29.983912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:35.885786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:40.975493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:47.390052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:53.009845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:58.010035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:02.701290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:07.353550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:15.013164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:20.141800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:25.577310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:30.668101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:36.461872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:41.595534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:47.870362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:53.412339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:58.477081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:03.163343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:07.668651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:15.591704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:20.708812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:26.124197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:31.225913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:36.841308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:42.459355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:48.507813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:53.701537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:32:58.845592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:33:03.535287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:33:31.350288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행선국(도착지별)2023년 1월2023년 2월2023년 3월2023년 4월2023년 5월2023년 6월2023년 7월2023년 8월2023년 9월2023년 10월2023년 11월
행선국(도착지별)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023년 1월1.0001.0000.9990.9870.9860.9760.9420.9930.9280.9120.8880.972
2023년 2월1.0000.9991.0000.9910.9910.9810.9640.9890.9560.9350.9100.978
2023년 3월1.0000.9870.9911.0000.9930.9940.9210.9920.9230.9650.9160.993
2023년 4월1.0000.9860.9910.9931.0000.9930.9520.9810.9480.9701.0000.992
2023년 5월1.0000.9760.9810.9940.9931.0000.9330.9900.9220.9450.9400.989
2023년 6월1.0000.9420.9640.9210.9520.9331.0000.9560.9970.9940.9950.899
2023년 7월1.0000.9930.9890.9920.9810.9900.9561.0000.9200.9030.9040.982
2023년 8월1.0000.9280.9560.9230.9480.9220.9970.9201.0000.9980.9920.920
2023년 9월1.0000.9120.9350.9650.9700.9450.9940.9030.9981.0000.9960.949
2023년 10월1.0000.8880.9100.9161.0000.9400.9950.9040.9920.9961.0000.945
2023년 11월1.0000.9720.9780.9930.9920.9890.8990.9820.9200.9490.9451.000
2023-12-23T07:33:32.115695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023년 1월2023년 2월2023년 3월2023년 4월2023년 5월2023년 6월2023년 7월2023년 8월2023년 9월2023년 10월2023년 11월
2023년 1월1.0000.9830.9650.9380.9280.8370.8680.8640.8900.9100.929
2023년 2월0.9831.0000.9850.9590.9530.8710.9040.9040.9270.9460.968
2023년 3월0.9650.9851.0000.9880.9810.8880.9230.9250.9530.9740.979
2023년 4월0.9380.9590.9881.0000.9930.9120.9390.9410.9700.9830.968
2023년 5월0.9280.9530.9810.9931.0000.9300.9620.9640.9840.9900.969
2023년 6월0.8370.8710.8880.9120.9301.0000.9410.9400.9420.9290.895
2023년 7월0.8680.9040.9230.9390.9620.9411.0000.9900.9830.9650.926
2023년 8월0.8640.9040.9250.9410.9640.9400.9901.0000.9820.9630.924
2023년 9월0.8900.9270.9530.9700.9840.9420.9830.9821.0000.9880.958
2023년 10월0.9100.9460.9740.9830.9900.9290.9650.9630.9881.0000.982
2023년 11월0.9290.9680.9790.9680.9690.8950.9260.9240.9580.9821.000

Missing values

2023-12-23T07:33:08.454022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:33:09.552657image/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

행선국(도착지별)2023년 1월2023년 2월2023년 3월2023년 4월2023년 5월2023년 6월2023년 7월2023년 8월2023년 9월2023년 10월2023년 11월
0일본576313566582471099468221516279528135613490560622559029609713633114
1베트남273775274516248493250730253890274499342076350724299265303264327790
2타이1555801443831037488534394252112142138530134504121406115377132812
3필리핀12960912587210382293231107003121320146858140075118501116407124206
4미국10093268005633297442186559893001063791020151094599510379577
5싱가포르5878156932362683367543182428256228456227507004685541212
6괌403663967436831362652951131042816132543305123095032526
7말레이시아4030537463259681885523980279814771644351295792540626874
8타이완3540056169487695596254757426494562848132644226922282039
9아랍에미리트연합2359419116168111755621126203772146220198224352181718829
행선국(도착지별)2023년 1월2023년 2월2023년 3월2023년 4월2023년 5월2023년 6월2023년 7월2023년 8월2023년 9월2023년 10월2023년 11월
30인도42503476326829672377282943663246363443574761
31오스트리아25252459298533804278379837143664410638432402
32우즈베키스탄24371522153321172419250835213035341526481889
33에티오피아188311938498921364133721461629165514381251
34사우디아라비아1863927643900166411101920204627352075409
35이스라엘169317531519945149111471386146416193200
36몽골169018442171326765441684131353327801804268282838
37카자흐스탄16321075103316042262312639993139314922981191
38네팔10048269939395463236445159681072956
39기타108754107816117032128727148167163143179204181842171371186433180876