Overview

Dataset statistics

Number of variables6
Number of observations82
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory52.6 B

Variable types

Categorical4
Numeric2

Dataset

Description항공사별 국내-국제선 여객실적과 관련하여 항공사, 정기선 부정기선에 따른 여객 출발과 여객 도착에 관한 데이터 입니다.
URLhttps://www.data.go.kr/data/15002629/fileData.do

Alerts

연도 has constant value ""Constant
여객출발 is highly overall correlated with 여객도착High correlation
여객도착 is highly overall correlated with 여객출발High correlation
여객출발 has 3 (3.7%) zerosZeros
여객도착 has 1 (1.2%) zerosZeros

Reproduction

Analysis started2023-12-12 14:21:55.518274
Analysis finished2023-12-12 14:21:56.635375
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023
82 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 82
100.0%

Length

2023-12-12T23:21:56.709903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:56.825933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 82
100.0%

노선
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
국제
62 
국내
20 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제 62
75.6%
국내 20
 
24.4%

Length

2023-12-12T23:21:56.932662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:57.045322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제 62
75.6%
국내 20
 
24.4%

항공사
Categorical

Distinct40
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Memory size788.0 B
AAR
 
4
ABL
 
4
TWB
 
4
JNA
 
4
KAL
 
4
Other values (35)
62 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique13 ?
Unique (%)15.9%

Sample

1st rowAAR
2nd rowABL
3rd rowASV
4th rowEOK
5th rowESR

Common Values

ValueCountFrequency (%)
AAR 4
 
4.9%
ABL 4
 
4.9%
TWB 4
 
4.9%
JNA 4
 
4.9%
KAL 4
 
4.9%
FGW 4
 
4.9%
JJA 4
 
4.9%
EOK 3
 
3.7%
CCA 2
 
2.4%
CSH 2
 
2.4%
Other values (30) 47
57.3%

Length

2023-12-12T23:21:57.160650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
aar 4
 
4.9%
twb 4
 
4.9%
jna 4
 
4.9%
kal 4
 
4.9%
fgw 4
 
4.9%
jja 4
 
4.9%
abl 4
 
4.9%
eok 3
 
3.7%
tgw 2
 
2.4%
jal 2
 
2.4%
Other values (30) 47
57.3%

정기부정기
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
부정기
46 
정기
36 

Length

Max length3
Median length3
Mean length2.5609756
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부정기 46
56.1%
정기 36
43.9%

Length

2023-12-12T23:21:57.299087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:57.437666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부정기 46
56.1%
정기 36
43.9%

여객출발
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct80
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270549.63
Minimum0
Maximum3543628
Zeros3
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-12T23:21:57.554547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile105.35
Q13588.5
median20971.5
Q394320.75
95-th percentile2664888.7
Maximum3543628
Range3543628
Interquartile range (IQR)90732.25

Descriptive statistics

Standard deviation746260.49
Coefficient of variation (CV)2.7583127
Kurtosis9.7901065
Mean270549.63
Median Absolute Deviation (MAD)20484.5
Skewness3.3082733
Sum22185070
Variance5.5690471 × 1011
MonotonicityNot monotonic
2023-12-12T23:21:57.719384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.7%
28239 1
 
1.2%
4570 1
 
1.2%
131 1
 
1.2%
974 1
 
1.2%
490 1
 
1.2%
4032 1
 
1.2%
5659 1
 
1.2%
1137 1
 
1.2%
3530 1
 
1.2%
Other values (70) 70
85.4%
ValueCountFrequency (%)
0 3
3.7%
87 1
 
1.2%
104 1
 
1.2%
131 1
 
1.2%
134 1
 
1.2%
175 1
 
1.2%
211 1
 
1.2%
439 1
 
1.2%
484 1
 
1.2%
490 1
 
1.2%
ValueCountFrequency (%)
3543628 1
1.2%
2926729 1
1.2%
2867791 1
1.2%
2778002 1
1.2%
2683621 1
1.2%
2308975 1
1.2%
575332 1
1.2%
549011 1
1.2%
504407 1
1.2%
406162 1
1.2%

여객도착
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct81
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270448.46
Minimum0
Maximum3543910
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-12T23:21:57.896368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile164.55
Q13625.5
median21379.5
Q392160.25
95-th percentile2664888.7
Maximum3543910
Range3543910
Interquartile range (IQR)88534.75

Descriptive statistics

Standard deviation746202.98
Coefficient of variation (CV)2.7591319
Kurtosis9.7968776
Mean270448.46
Median Absolute Deviation (MAD)20986
Skewness3.3094743
Sum22176774
Variance5.5681889 × 1011
MonotonicityNot monotonic
2023-12-12T23:21:58.063909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131 2
 
2.4%
449 1
 
1.2%
4062 1
 
1.2%
161 1
 
1.2%
1053 1
 
1.2%
215 1
 
1.2%
3654 1
 
1.2%
6029 1
 
1.2%
1107 1
 
1.2%
3830 1
 
1.2%
Other values (71) 71
86.6%
ValueCountFrequency (%)
0 1
1.2%
131 2
2.4%
161 1
1.2%
164 1
1.2%
175 1
1.2%
197 1
1.2%
204 1
1.2%
215 1
1.2%
342 1
1.2%
445 1
1.2%
ValueCountFrequency (%)
3543910 1
1.2%
2926729 1
1.2%
2867640 1
1.2%
2777890 1
1.2%
2683621 1
1.2%
2308975 1
1.2%
575332 1
1.2%
541934 1
1.2%
497772 1
1.2%
406162 1
1.2%

Interactions

2023-12-12T23:21:55.899917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:55.709886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:55.983756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:55.809514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:21:58.179611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선항공사정기부정기여객출발여객도착
노선1.0000.2290.0000.6330.633
항공사0.2291.0000.0000.0000.000
정기부정기0.0000.0001.0000.5280.528
여객출발0.6330.0000.5281.0001.000
여객도착0.6330.0000.5281.0001.000
2023-12-12T23:21:58.362441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항공사정기부정기노선
항공사1.0000.0000.108
정기부정기0.0001.0000.000
노선0.1080.0001.000
2023-12-12T23:21:58.482676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
여객출발여객도착노선항공사정기부정기
여객출발1.0000.9980.4490.0000.371
여객도착0.9981.0000.4490.0000.371
노선0.4490.4491.0000.1080.000
항공사0.0000.0000.1081.0000.000
정기부정기0.3710.3710.0000.0001.000

Missing values

2023-12-12T23:21:56.118837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:21:56.590029image/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

연도노선항공사정기부정기여객출발여객도착
02023국내AAR정기29267292926729
12023국내ABL정기23089752308975
22023국내ASV정기406162406162
32023국내EOK정기219460219460
42023국내ESR정기575332575332
52023국내FGW정기101623101623
62023국내JJA정기28677912867640
72023국내JNA정기27780022777890
82023국내KAL정기35436283543910
92023국내TWB정기26836212683621
연도노선항공사정기부정기여객출발여객도착
722023국제RYL부정기67946777
732023국제SFJ부정기484342
742023국제SWM부정기33673367
752023국제TGW부정기211197
762023국제TTW부정기40784227
772023국제TWB부정기3043528982
782023국제TZP부정기0204
792023국제VAG부정기20602057
802023국제VJC부정기1064310090
812023국제XAX부정기0164