Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows151
Duplicate rows (%)1.5%
Total size in memory859.4 KiB
Average record size in memory88.0 B

Variable types

Text7
DateTime2
Categorical1

Dataset

Description한국공항공사에서 제공하는 반기, 월간 항공기 스케줄 항공사/운항편명/출발공항/도착공항/운항요일/시작일/종료일자/국내국제 유무
URLhttps://www.data.go.kr/data/15003087/fileData.do

Alerts

국내_국제 has constant value ""Constant
Dataset has 151 (1.5%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 04:38:53.530474
Analysis finished2023-12-12 04:38:54.501401
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

항공사
Text

Distinct110
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:38:54.717389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30000
Distinct characters26
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

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowKAL
2nd rowABL
3rd rowAAR
4th rowCPA
5th rowGTI
ValueCountFrequency (%)
kal 1807
18.1%
aar 1399
 
14.0%
gti 694
 
6.9%
abl 515
 
5.1%
vjc 405
 
4.0%
cks 398
 
4.0%
jna 275
 
2.8%
cpa 249
 
2.5%
cqh 230
 
2.3%
pac 221
 
2.2%
Other values (100) 3807
38.1%
2023-12-12T13:38:55.167967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 7619
25.4%
L 2945
 
9.8%
C 2497
 
8.3%
K 2407
 
8.0%
R 1520
 
5.1%
T 1287
 
4.3%
J 1203
 
4.0%
G 1189
 
4.0%
S 1159
 
3.9%
I 1067
 
3.6%
Other values (16) 7107
23.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 30000
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 7619
25.4%
L 2945
 
9.8%
C 2497
 
8.3%
K 2407
 
8.0%
R 1520
 
5.1%
T 1287
 
4.3%
J 1203
 
4.0%
G 1189
 
4.0%
S 1159
 
3.9%
I 1067
 
3.6%
Other values (16) 7107
23.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 30000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 7619
25.4%
L 2945
 
9.8%
C 2497
 
8.3%
K 2407
 
8.0%
R 1520
 
5.1%
T 1287
 
4.3%
J 1203
 
4.0%
G 1189
 
4.0%
S 1159
 
3.9%
I 1067
 
3.6%
Other values (16) 7107
23.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 7619
25.4%
L 2945
 
9.8%
C 2497
 
8.3%
K 2407
 
8.0%
R 1520
 
5.1%
T 1287
 
4.3%
J 1203
 
4.0%
G 1189
 
4.0%
S 1159
 
3.9%
I 1067
 
3.6%
Other values (16) 7107
23.7%

운항편명
Text

Distinct2140
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:38:55.755133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.272
Min length3

Characters and Unicode

Total characters52720
Distinct characters37
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique744 ?
Unique (%)7.4%

Sample

1st rowKE476
2nd rowBX398
3rd rowOZ985
4th rowCX410
5th row5Y537
ValueCountFrequency (%)
vn423 42
 
0.4%
cx410 41
 
0.4%
8m802 39
 
0.4%
8m801 39
 
0.4%
cx416 38
 
0.4%
cx417 37
 
0.4%
pr468 37
 
0.4%
pr469 36
 
0.4%
et673 36
 
0.4%
vn422 35
 
0.4%
Other values (2130) 9620
96.2%
2023-12-12T13:38:56.413543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4368
 
8.3%
2 3828
 
7.3%
8 3825
 
7.3%
5 3609
 
6.8%
7 3537
 
6.7%
3 3523
 
6.7%
4 3325
 
6.3%
6 3205
 
6.1%
9 2939
 
5.6%
0 2608
 
4.9%
Other values (27) 17953
34.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34767
65.9%
Uppercase Letter 17949
34.0%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 2541
14.2%
O 1951
10.9%
E 1881
10.5%
Z 1633
 
9.1%
C 1097
 
6.1%
J 1005
 
5.6%
X 977
 
5.4%
Y 746
 
4.2%
V 727
 
4.1%
B 720
 
4.0%
Other values (16) 4671
26.0%
Decimal Number
ValueCountFrequency (%)
1 4368
12.6%
2 3828
11.0%
8 3825
11.0%
5 3609
10.4%
7 3537
10.2%
3 3523
10.1%
4 3325
9.6%
6 3205
9.2%
9 2939
8.5%
0 2608
7.5%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34771
66.0%
Latin 17949
34.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 2541
14.2%
O 1951
10.9%
E 1881
10.5%
Z 1633
 
9.1%
C 1097
 
6.1%
J 1005
 
5.6%
X 977
 
5.4%
Y 746
 
4.2%
V 727
 
4.1%
B 720
 
4.0%
Other values (16) 4671
26.0%
Common
ValueCountFrequency (%)
1 4368
12.6%
2 3828
11.0%
8 3825
11.0%
5 3609
10.4%
7 3537
10.2%
3 3523
10.1%
4 3325
9.6%
6 3205
9.2%
9 2939
8.5%
0 2608
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4368
 
8.3%
2 3828
 
7.3%
8 3825
 
7.3%
5 3609
 
6.8%
7 3537
 
6.7%
3 3523
 
6.7%
4 3325
 
6.3%
6 3205
 
6.1%
9 2939
 
5.6%
0 2608
 
4.9%
Other values (27) 17953
34.1%

출발공항
Text

Distinct203
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:38:56.769534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30000
Distinct characters26
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

Unique35 ?
Unique (%)0.4%

Sample

1st rowSGN
2nd rowHKG
3rd rowICN
4th rowHKG
5th rowICN
ValueCountFrequency (%)
icn 4176
41.8%
pus 381
 
3.8%
hkg 312
 
3.1%
pvg 249
 
2.5%
cju 241
 
2.4%
sgn 181
 
1.8%
nrt 179
 
1.8%
kix 157
 
1.6%
tpe 155
 
1.6%
han 144
 
1.4%
Other values (193) 3825
38.2%
2023-12-12T13:38:57.274222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 5609
18.7%
C 5151
17.2%
I 4561
15.2%
G 1443
 
4.8%
K 1244
 
4.1%
P 1170
 
3.9%
S 1093
 
3.6%
U 1042
 
3.5%
A 1018
 
3.4%
H 875
 
2.9%
Other values (16) 6794
22.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 30000
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 5609
18.7%
C 5151
17.2%
I 4561
15.2%
G 1443
 
4.8%
K 1244
 
4.1%
P 1170
 
3.9%
S 1093
 
3.6%
U 1042
 
3.5%
A 1018
 
3.4%
H 875
 
2.9%
Other values (16) 6794
22.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 30000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 5609
18.7%
C 5151
17.2%
I 4561
15.2%
G 1443
 
4.8%
K 1244
 
4.1%
P 1170
 
3.9%
S 1093
 
3.6%
U 1042
 
3.5%
A 1018
 
3.4%
H 875
 
2.9%
Other values (16) 6794
22.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 5609
18.7%
C 5151
17.2%
I 4561
15.2%
G 1443
 
4.8%
K 1244
 
4.1%
P 1170
 
3.9%
S 1093
 
3.6%
U 1042
 
3.5%
A 1018
 
3.4%
H 875
 
2.9%
Other values (16) 6794
22.6%

도착공항
Text

Distinct180
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:38:57.609116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30000
Distinct characters26
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

Unique24 ?
Unique (%)0.2%

Sample

1st rowICN
2nd rowPUS
3rd rowYNT
4th rowICN
5th rowORD
ValueCountFrequency (%)
icn 4117
41.2%
pus 377
 
3.8%
hkg 291
 
2.9%
anc 255
 
2.5%
pvg 248
 
2.5%
cju 226
 
2.3%
sgn 206
 
2.1%
lax 189
 
1.9%
nrt 183
 
1.8%
ord 160
 
1.6%
Other values (170) 3748
37.5%
2023-12-12T13:38:58.049197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 5793
19.3%
C 5178
17.3%
I 4463
14.9%
A 1334
 
4.4%
G 1324
 
4.4%
K 1201
 
4.0%
P 1141
 
3.8%
S 1049
 
3.5%
U 1038
 
3.5%
H 839
 
2.8%
Other values (16) 6640
22.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 30000
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 5793
19.3%
C 5178
17.3%
I 4463
14.9%
A 1334
 
4.4%
G 1324
 
4.4%
K 1201
 
4.0%
P 1141
 
3.8%
S 1049
 
3.5%
U 1038
 
3.5%
H 839
 
2.8%
Other values (16) 6640
22.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 30000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 5793
19.3%
C 5178
17.3%
I 4463
14.9%
A 1334
 
4.4%
G 1324
 
4.4%
K 1201
 
4.0%
P 1141
 
3.8%
S 1049
 
3.5%
U 1038
 
3.5%
H 839
 
2.8%
Other values (16) 6640
22.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 5793
19.3%
C 5178
17.3%
I 4463
14.9%
A 1334
 
4.4%
G 1324
 
4.4%
K 1201
 
4.0%
P 1141
 
3.8%
S 1049
 
3.5%
U 1038
 
3.5%
H 839
 
2.8%
Other values (16) 6640
22.1%

출발시간
Text

Distinct295
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:38:58.526576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters50000
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row00:15
2nd row12:05
3rd row11:45
4th row09:20
5th row00:50
ValueCountFrequency (%)
09:00 117
 
1.2%
10:00 105
 
1.1%
08:00 102
 
1.0%
11:00 100
 
1.0%
12:30 89
 
0.9%
16:00 85
 
0.9%
00:05 84
 
0.8%
11:40 84
 
0.8%
12:05 83
 
0.8%
14:30 81
 
0.8%
Other values (285) 9070
90.7%
2023-12-12T13:38:59.107033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12893
25.8%
: 10000
20.0%
1 7909
15.8%
5 5945
11.9%
2 4481
 
9.0%
3 2857
 
5.7%
4 2407
 
4.8%
8 1000
 
2.0%
9 980
 
2.0%
6 750
 
1.5%
Other values (2) 778
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39936
79.9%
Other Punctuation 10000
 
20.0%
Connector Punctuation 64
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12893
32.3%
1 7909
19.8%
5 5945
14.9%
2 4481
 
11.2%
3 2857
 
7.2%
4 2407
 
6.0%
8 1000
 
2.5%
9 980
 
2.5%
6 750
 
1.9%
7 714
 
1.8%
Other Punctuation
ValueCountFrequency (%)
: 10000
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12893
25.8%
: 10000
20.0%
1 7909
15.8%
5 5945
11.9%
2 4481
 
9.0%
3 2857
 
5.7%
4 2407
 
4.8%
8 1000
 
2.0%
9 980
 
2.0%
6 750
 
1.5%
Other values (2) 778
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12893
25.8%
: 10000
20.0%
1 7909
15.8%
5 5945
11.9%
2 4481
 
9.0%
3 2857
 
5.7%
4 2407
 
4.8%
8 1000
 
2.0%
9 980
 
2.0%
6 750
 
1.5%
Other values (2) 778
 
1.6%

도착시간
Text

Distinct295
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:38:59.512851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters50000
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row07:20
2nd row16:30
3rd row12:15
4th row14:10
5th row07:05
ValueCountFrequency (%)
15:30 97
 
1.0%
17:00 94
 
0.9%
13:00 94
 
0.9%
11:00 93
 
0.9%
00:10 92
 
0.9%
07:05 91
 
0.9%
14:10 90
 
0.9%
13:15 83
 
0.8%
09:40 79
 
0.8%
12:50 77
 
0.8%
Other values (285) 9110
91.1%
2023-12-12T13:39:00.130942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11917
23.8%
: 10000
20.0%
1 8127
16.3%
5 6952
13.9%
2 4155
 
8.3%
3 2990
 
6.0%
4 2249
 
4.5%
7 976
 
2.0%
6 855
 
1.7%
8 802
 
1.6%
Other values (2) 977
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39800
79.6%
Other Punctuation 10000
 
20.0%
Connector Punctuation 200
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11917
29.9%
1 8127
20.4%
5 6952
17.5%
2 4155
 
10.4%
3 2990
 
7.5%
4 2249
 
5.7%
7 976
 
2.5%
6 855
 
2.1%
8 802
 
2.0%
9 777
 
2.0%
Other Punctuation
ValueCountFrequency (%)
: 10000
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11917
23.8%
: 10000
20.0%
1 8127
16.3%
5 6952
13.9%
2 4155
 
8.3%
3 2990
 
6.0%
4 2249
 
4.5%
7 976
 
2.0%
6 855
 
1.7%
8 802
 
1.6%
Other values (2) 977
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11917
23.8%
: 10000
20.0%
1 8127
16.3%
5 6952
13.9%
2 4155
 
8.3%
3 2990
 
6.0%
4 2249
 
4.5%
7 976
 
2.0%
6 855
 
1.7%
8 802
 
1.6%
Other values (2) 977
 
2.0%

운항요일
Text

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:39:00.485500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.3116
Min length1

Characters and Unicode

Total characters13116
Distinct characters8
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

Unique13 ?
Unique (%)0.1%

Sample

1st row일
2nd row수
3rd row목
4th row수
5th row수
ValueCountFrequency (%)
수 1319
13.2%
목 1230
12.3%
일 1192
11.9%
금 1189
11.9%
화 1188
11.9%
월 1125
11.2%
토 1070
10.7%
매일 606
6.1%
수토 57
 
0.6%
월수금일 54
 
0.5%
Other values (102) 970
9.7%
2023-12-12T13:39:00.975351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 2306
17.6%
수 1876
14.3%
목 1744
13.3%
금 1738
13.3%
화 1629
12.4%
토 1615
12.3%
월 1602
12.2%
매 606
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13116
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 2306
17.6%
수 1876
14.3%
목 1744
13.3%
금 1738
13.3%
화 1629
12.4%
토 1615
12.3%
월 1602
12.2%
매 606
 
4.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13116
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 2306
17.6%
수 1876
14.3%
목 1744
13.3%
금 1738
13.3%
화 1629
12.4%
토 1615
12.3%
월 1602
12.2%
매 606
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13116
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 2306
17.6%
수 1876
14.3%
목 1744
13.3%
금 1738
13.3%
화 1629
12.4%
토 1615
12.3%
월 1602
12.2%
매 606
 
4.6%

시작일자
Date

Distinct217
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-03-25 00:00:00
Maximum2023-10-29 00:00:00
2023-12-12T13:39:01.155887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:39:01.357847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일자
Date

Distinct219
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-03-25 00:00:00
Maximum2023-10-30 00:00:00
2023-12-12T13:39:01.532580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:39:01.686667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

국내_국제
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국제
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제 10000
100.0%

Length

2023-12-12T13:39:01.813533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:39:01.898329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제 10000
100.0%

Missing values

2023-12-12T13:38:54.212212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:38:54.433293image/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

항공사운항편명출발공항도착공항출발시간도착시간운항요일시작일자종료일자국내_국제
30347KALKE476SGNICN00:1507:20일2023-05-212023-05-21국제
7729ABLBX398HKGPUS12:0516:30수2023-09-222023-10-28국제
5663AAROZ985ICNYNT11:4512:15목2023-03-262023-10-28국제
15354CPACX410HKGICN09:2014:10수2023-07-262023-07-26국제
20542GTI5Y537ICNORD00:5007:05수2023-05-312023-05-31국제
19324EVABR156TSAGMP15:4519:15수2023-03-262023-10-28국제
9442AIHKJ5225KULICN08:2517:10수2023-07-052023-07-05국제
10367APJMM2ICNKIX10:2012:10매일2023-08-012023-10-28국제
34542KALKE9319ICNCAN23:3002:10금2023-04-072023-04-28국제
32609KALKE805ICNTSN09:1010:10일2023-04-162023-04-16국제
항공사운항편명출발공항도착공항출발시간도착시간운항요일시작일자종료일자국내_국제
12481CESMU2073PKXICN12:3516:05토2023-08-052023-08-05국제
25998JNALJ202NRTICN10:5013:20금2023-04-072023-04-07국제
17460CSHFM824GMPSHA19:5021:05토2023-04-152023-04-15국제
26425JNALJ283ICNKIX16:1018:00목2023-04-272023-04-27국제
32859KALKE8185ICNTPE05:3007:25수2023-04-202023-04-26국제
13836CKSK4838ICNANC23:30__:__화2023-04-112023-04-11국제
39873SWMZA215PNHICN16:5500:15금2023-06-022023-06-02국제
1472AAROZ204ICNLAX20:4016:00매일2023-10-012023-10-28국제
17752CSNCZ6080ICNWUH12:5515:10월화목금일2023-06-222023-06-30국제
20835GTI5Y617ICNORD18:3520:50화2023-04-182023-04-18국제

Duplicate rows

Most frequently occurring

항공사운항편명출발공항도착공항출발시간도착시간운항요일시작일자종료일자국내_국제# duplicates
63ETHET673ICNADD00:2507:40월목토일2023-05-062023-06-01국제5
65ETHET673ICNADD01:0507:20월목토일2023-08-172023-10-29국제4
10AAROZ351ICNYNJ09:0510:30토2023-04-292023-04-29국제3
66ETHET673NRTICN20:4523:20수금토일2023-05-052023-05-31국제3
74FGW4V252HANYNY22:5005:15월수금2023-07-152023-08-09국제3
110MGLOM301UBNICN08:4012:50월2023-06-262023-06-26국제3
0AAROZ131FUKICN11:3013:00수2023-06-142023-06-14국제2
1AAROZ134ICNFUK12:3013:50금2023-05-262023-05-26국제2
2AAROZ136ICNFUK18:2019:40목2023-04-062023-04-06국제2
3AAROZ136ICNFUK18:2019:40수2023-07-052023-07-05국제2