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jstnoname
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plane-cost

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target_economy
int64
target_comfort
int64
target_business
int64
departure_day
int32
departure_day_of_week
int32
departure_month
int32
is_weekend
int32
departure_hour
int32
duration_hours
int32
count_of_week_routes
int32
airplane_range
int32
economy
int64
comfort
int64
business
int64
avg_book_lead_time
float64
s2_book_lead_time
float64
count_book_lead_time
int64
is_avg_book_lead_time_missing
int32
departure_city
string
departure_country
string
arrival_city
string
arrival_country
string
airplane_model
string
326
48
30
1
3
10
0
5
1
7
14,600
326
48
30
30.120029
0.059853
133
0
Paris
France
Nice
France
Boeing 777-300ER
115
0
13
1
3
10
0
5
7
1
7,000
144
0
16
30.123079
0.083085
2
0
Beijing
China
Goa
India
Boeing 737 MAX 7
144
0
16
1
3
10
0
7
1
6
7,000
144
0
16
30.177904
0.098704
24
0
Miami
United States
Charlotte
United States
Boeing 737 MAX 7
281
0
44
1
3
10
0
8
1
7
16,700
281
0
44
30.152722
0.090399
43
0
Saint Petersburg
Russia
Moscow
Russia
Aerobus A350-1000
281
0
44
1
3
10
0
13
1
6
16,700
281
0
44
30.292628
0.165608
112
0
Orlando
United States
Atlanta
United States
Aerobus A350-1000
281
0
44
1
3
10
0
14
1
5
16,700
281
0
44
30.265178
0.169578
59
0
Shanghai
China
Beijing
China
Aerobus A350-1000
144
0
16
1
3
10
0
15
2
4
7,000
144
0
16
30.397319
0.148655
24
0
Yekaterinburg
Russia
Moscow
Russia
Boeing 737 MAX 7
144
0
16
1
3
10
0
16
4
4
7,000
144
0
16
30.360921
0.199449
37
0
Toronto
Canada
Calgary
Canada
Boeing 737 MAX 7
326
48
30
1
3
10
0
20
1
7
14,600
326
48
30
30.403907
0.247084
91
0
Atlanta
United States
Dallas
United States
Boeing 777-300ER
72
0
6
1
3
10
0
22
2
6
4,000
72
0
6
30.845268
0.057573
78
0
Hangzhou
China
Chengdu
China
Embraer E170
188
21
48
1
3
10
0
23
2
6
14,000
188
21
48
30.446433
0.289083
79
0
Kolkata
India
Delhi
India
Boeing 787-9 Dreamliner
188
21
48
2
4
10
0
0
2
7
14,000
188
21
48
0
0
0
1
Xi'an
China
Shanghai
China
Boeing 787-9 Dreamliner
72
0
6
2
4
10
0
3
4
5
4,000
72
0
6
0
0
0
1
Moscow
Russia
Novosibirsk
Russia
Embraer E170
52
12
6
2
4
10
0
7
4
6
3,100
52
12
6
30.543235
0.23283
17
0
Saint Petersburg
Russia
Novosibirsk
Russia
Bombardier CRJ700
66
0
7
2
4
10
0
8
2
4
7,000
144
0
16
30.864525
0.480554
7
0
Kunming
China
Kathmandu
Nepal
Boeing 737 MAX 7
326
48
30
2
4
10
0
10
0
7
14,600
326
48
30
30.509534
0.377388
379
0
Frankfurt am main
Germany
Munich
Germany
Boeing 777-300ER
326
48
30
2
4
10
0
12
0
7
14,600
326
48
30
30.594951
0.453383
79
0
Munich
Germany
Frankfurt am main
Germany
Boeing 777-300ER
326
48
30
2
4
10
0
13
1
6
14,600
326
48
30
30.719159
0.449437
282
0
Beijing
China
Shanghai
China
Boeing 777-300ER
188
21
48
2
4
10
0
15
2
4
14,000
188
21
48
30.813967
0.456898
188
0
Beijing
China
Shenzhen
China
Boeing 787-9 Dreamliner
326
48
30
2
4
10
0
15
1
6
14,600
326
48
30
31.053384
0.424794
227
0
Nice
France
Paris
France
Boeing 777-300ER
326
48
30
3
5
10
0
1
2
3
14,600
326
48
30
31.276893
0.372812
404
0
Shanghai
China
Guangzhou
China
Boeing 777-300ER
138
0
28
3
5
10
0
4
2
6
6,500
138
0
28
30.671656
0.067437
18
0
Chengdu
China
Guangzhou
China
Aerobus A320neo
326
48
30
3
5
10
0
5
1
7
14,600
326
48
30
30.914918
0.16629
404
0
Paris
France
Nice
France
Boeing 777-300ER
326
48
30
3
5
10
0
13
1
7
14,600
326
48
30
0
0
0
1
Dallas
United States
Denver
United States
Boeing 777-300ER
326
48
30
3
5
10
0
18
1
7
14,600
326
48
30
0
0
0
1
Dallas
United States
Atlanta
United States
Boeing 777-300ER
326
48
30
3
5
10
0
20
1
7
14,600
326
48
30
31.541174
0.285804
52
0
Atlanta
United States
Dallas
United States
Boeing 777-300ER
51
11
6
4
6
10
1
1
2
1
3,100
52
12
6
31.814449
0.859258
5
0
Pune
India
Lucknow
India
Bombardier CRJ700
224
28
29
4
6
10
1
3
1
2
13,300
224
28
29
31.241379
0.983595
108
0
Kazan
Russia
Moscow
Russia
Aerobus A330-900neo
326
48
30
4
6
10
1
10
0
7
14,600
326
48
30
31.274928
0.227002
404
0
Guangzhou
China
Shenzhen
China
Boeing 777-300ER
224
28
29
4
6
10
1
12
2
5
13,300
224
28
29
0
0
0
1
Los Angeles
United States
Denver
United States
Aerobus A330-900neo
144
0
16
4
6
10
1
14
2
4
7,000
144
0
16
31.955866
0.639972
160
0
Bangalore
India
Kolkata
India
Boeing 737 MAX 7
37
9
8
4
6
10
1
17
0
5
14,000
188
21
48
31.286519
0.61848
18
0
Munich
Germany
Prague
Czech Republic
Boeing 787-9 Dreamliner
13
3
2
4
6
10
1
17
3
2
3,100
52
12
6
32.023448
0.602329
16
0
Nice
France
Helsinki
Finland
Bombardier CRJ700
281
0
44
4
6
10
1
22
0
6
16,700
281
0
44
30.741588
0.555726
6
0
Pune
India
Mumbai
India
Aerobus A350-1000
326
48
30
4
6
10
1
23
1
7
14,600
326
48
30
30.871906
0.291074
3
0
Los Angeles
United States
Las Vegas
United States
Boeing 777-300ER
72
0
6
5
7
10
1
2
2
6
4,000
72
0
6
0
0
0
1
Sochi
Russia
Moscow
Russia
Embraer E170
326
48
30
5
7
10
1
2
0
7
14,600
326
48
30
32.31516
1.000123
49
0
Chongqing
China
Chengdu
China
Boeing 777-300ER
59
0
5
5
7
10
1
3
4
5
4,000
72
0
6
30.79588
0.903792
15
0
Moscow
Russia
Novosibirsk
Russia
Embraer E170
73
5
18
5
7
10
1
5
2
5
14,000
188
21
48
31.160547
1.016129
10
0
Kunming
China
Beijing
China
Boeing 787-9 Dreamliner
326
48
30
5
7
10
1
7
1
7
14,600
326
48
30
31.815437
0.943121
55
0
Milan
Italy
Rome
Italy
Boeing 777-300ER
144
0
16
5
7
10
1
9
1
6
7,000
144
0
16
33.217712
0.667929
7
0
Mumbai
India
Ahmedabad
India
Boeing 737 MAX 7
72
0
6
5
7
10
1
12
2
6
4,000
72
0
6
31.151347
1.277352
15
0
Moscow
Russia
Sochi
Russia
Embraer E170
326
48
30
5
7
10
1
12
1
4
14,600
326
48
30
33.244206
0.743774
24
0
Calgary
Canada
Vancouver
Canada
Boeing 777-300ER
188
21
48
5
7
10
1
12
4
3
14,000
188
21
48
30.136579
0.0636
33
0
Los Angeles
United States
Atlanta
United States
Boeing 787-9 Dreamliner
144
0
16
5
7
10
1
15
8
1
7,000
144
0
16
32.111503
1.35246
102
0
Mumbai
India
Berlin
Germany
Boeing 737 MAX 7
281
0
44
5
7
10
1
17
1
7
16,700
281
0
44
33.096997
1.51007
6
0
Chicago
United States
Atlanta
United States
Aerobus A350-1000
326
48
30
5
7
10
1
18
0
7
14,600
326
48
30
32.85191
1.466022
5
0
Chennai
India
Bangalore
India
Boeing 777-300ER
72
0
6
5
7
10
1
22
4
5
4,000
72
0
6
0
0
0
1
Novosibirsk
Russia
Moscow
Russia
Embraer E170
188
21
48
5
7
10
1
23
2
6
14,000
188
21
48
33.192322
0.626542
5
0
Kolkata
India
Delhi
India
Boeing 787-9 Dreamliner
72
0
6
6
1
10
0
0
1
6
4,000
72
0
6
31.084598
0.554037
78
0
Chicago
United States
Toronto
Canada
Embraer E170
224
28
29
6
1
10
0
0
3
5
13,300
224
28
29
32.550374
1.238411
7
0
Shanghai
China
Kunming
China
Aerobus A330-900neo
51
12
6
6
1
10
0
1
2
3
3,100
52
12
6
31.626826
1.897107
9
0
Kochi
India
Ahmedabad
India
Bombardier CRJ700
18
0
2
6
1
10
0
1
1
5
4,000
72
0
6
33.108813
1.33554
14
0
Milan
Italy
Frankfurt am main
Germany
Embraer E170
72
0
6
6
1
10
0
6
3
6
4,000
72
0
6
31.338672
0.92644
78
0
Las Vegas
United States
Chicago
United States
Embraer E170
72
0
6
6
1
10
0
10
2
3
4,000
72
0
6
34.825434
0.118449
2
0
Ufa
Russia
Moscow
Russia
Embraer E170
326
48
30
6
1
10
0
12
1
4
14,600
326
48
30
32.021231
1.084457
5
0
Calgary
Canada
Vancouver
Canada
Boeing 777-300ER
184
29
17
6
1
10
0
15
1
6
14,600
326
48
30
34.472717
0.978048
43
0
Nice
France
Paris
France
Boeing 777-300ER
72
0
6
6
1
10
0
16
3
2
4,000
72
0
6
31.350327
0.908359
48
0
Sochi
Russia
Saint Petersburg
Russia
Embraer E170
144
0
16
6
1
10
0
18
2
6
7,000
144
0
16
32.352713
0.648128
160
0
Shenzhen
China
Shanghai
China
Boeing 737 MAX 7
3
0
1
6
1
10
0
18
2
6
4,000
72
0
6
35.122245
0
1
0
Pune
India
Delhi
India
Embraer E170
72
0
10
7
2
10
0
0
1
7
16,700
281
0
44
32.928877
1.210334
23
0
Guangzhou
China
Kunming
China
Aerobus A350-1000
326
48
30
7
2
10
0
1
1
7
14,600
326
48
30
35.030577
0.931448
34
0
Rome
Italy
Milan
Italy
Boeing 777-300ER
13
0
1
7
2
10
0
2
2
4
4,000
72
0
6
33.460633
0.404104
6
0
Prague
Czech Republic
Helsinki
Finland
Embraer E170
118
0
19
7
2
10
0
6
19
1
16,700
281
0
44
33.619412
1.737787
42
0
Santiago
Chile
Mumbai
India
Aerobus A350-1000
281
0
44
7
2
10
0
6
0
7
16,700
281
0
44
33.954226
1.591393
49
0
Miami
United States
Orlando
United States
Aerobus A350-1000
27
8
5
7
2
10
0
7
4
6
3,100
52
12
6
33.331179
2.007014
12
0
Saint Petersburg
Russia
Novosibirsk
Russia
Bombardier CRJ700
144
0
16
7
2
10
0
7
1
7
7,000
144
0
16
34.425552
1.699626
21
0
Lucknow
India
Delhi
India
Boeing 737 MAX 7
43
3
3
7
2
10
0
8
2
6
13,300
224
28
29
34.910784
1.270464
26
0
Calama
Chile
Santiago
Chile
Aerobus A330-900neo
281
0
44
7
2
10
0
12
1
7
16,700
281
0
44
34.708582
1.240627
35
0
Fukuoka
Japan
Tokyo
Japan
Aerobus A350-1000
138
0
28
7
2
10
0
15
3
7
6,500
138
0
28
31.8061
1.445964
166
0
Denver
United States
Atlanta
United States
Aerobus A320neo
326
48
30
7
2
10
0
20
1
7
14,600
326
48
30
34.346281
1.787843
50
0
Atlanta
United States
Dallas
United States
Boeing 777-300ER
144
0
16
7
2
10
0
21
6
1
7,000
144
0
16
33.82384
1.355602
160
0
Mumbai
India
Guangzhou
China
Boeing 737 MAX 7
224
28
29
8
3
10
0
7
2
5
13,300
224
28
29
35.332198
1.788335
55
0
Chengdu
China
Beijing
China
Aerobus A330-900neo
144
0
16
8
3
10
0
10
1
7
7,000
144
0
16
33.762499
2.172895
36
0
Delhi
India
Lucknow
India
Boeing 737 MAX 7
281
0
44
8
3
10
0
12
1
7
16,700
281
0
44
35.693134
1.403405
71
0
Fukuoka
Japan
Tokyo
Japan
Aerobus A350-1000
27
0
4
8
3
10
0
18
2
6
4,000
72
0
6
35.958004
1.733871
13
0
Pune
India
Delhi
India
Embraer E170
174
0
23
8
3
10
0
21
1
7
16,700
281
0
44
34.452943
2.143691
21
0
Vienna
Austria
Paris
France
Aerobus A350-1000
181
0
31
9
4
10
0
0
1
7
16,700
281
0
44
34.678702
2.298384
144
0
Guangzhou
China
Kunming
China
Aerobus A350-1000
144
0
16
9
4
10
0
4
3
4
7,000
144
0
16
34.314897
2.309484
45
0
Chicago
United States
Miami
United States
Boeing 737 MAX 7
52
12
6
9
4
10
0
7
2
5
3,100
52
12
6
34.809323
2.422208
12
0
Sapporo
Japan
Fukuoka
Japan
Bombardier CRJ700
281
0
44
9
4
10
0
7
1
6
16,700
281
0
44
36.029645
1.997933
38
0
New York
United States
Charlotte
United States
Aerobus A350-1000
61
0
7
9
4
10
0
8
2
4
7,000
144
0
16
35.409319
2.045953
27
0
Kunming
China
Kathmandu
Nepal
Boeing 737 MAX 7
23
2
3
9
4
10
0
9
12
2
14,000
188
21
48
33.786016
2.943965
8
0
Santiago
Chile
Auckland
New Zealand
Boeing 787-9 Dreamliner
144
0
16
9
4
10
0
10
2
6
7,000
144
0
16
34.860334
1.29581
160
0
Shanghai
China
Shenzhen
China
Boeing 737 MAX 7
326
48
30
9
4
10
0
11
1
7
14,600
326
48
30
37.435414
0.739168
168
0
Nice
France
Paris
France
Boeing 777-300ER
47
7
9
9
4
10
0
14
10
1
14,000
188
21
48
32.725174
2.041682
28
0
Beijing
China
Vancouver
Canada
Boeing 787-9 Dreamliner
281
0
44
9
4
10
0
16
1
6
16,700
281
0
44
34.577886
2.129461
129
0
Bangalore
India
Mumbai
India
Aerobus A350-1000
109
11
29
10
5
10
0
0
2
7
14,000
188
21
48
35.937488
2.888515
73
0
Xi'an
China
Shanghai
China
Boeing 787-9 Dreamliner
326
48
30
10
5
10
0
5
1
7
14,600
326
48
30
34.48815
1.309857
404
0
Paris
France
Nice
France
Boeing 777-300ER
188
21
48
10
5
10
0
10
2
5
14,000
188
21
48
34.88291
2.627645
31
0
Beijing
China
Kunming
China
Boeing 787-9 Dreamliner
326
48
30
10
5
10
0
12
1
4
14,600
326
48
30
35.97988
2.142251
163
0
Calgary
Canada
Vancouver
Canada
Boeing 777-300ER
281
0
44
10
5
10
0
12
0
6
16,700
281
0
44
34.7145
2.58796
80
0
Mumbai
India
Pune
India
Aerobus A350-1000
194
29
21
10
5
10
0
13
1
7
14,600
326
48
30
35.670148
2.845421
117
0
Dallas
United States
Denver
United States
Boeing 777-300ER
138
0
28
10
5
10
0
15
3
7
6,500
138
0
28
34.240744
2.718305
166
0
Denver
United States
Atlanta
United States
Aerobus A320neo
229
28
16
10
5
10
0
16
2
7
14,600
326
48
30
36.311962
3.130416
72
0
Xi'an
China
Shanghai
China
Boeing 777-300ER
107
0
20
10
5
10
0
21
1
7
16,700
281
0
44
36.480947
2.771747
45
0
Vienna
Austria
Paris
France
Aerobus A350-1000
281
0
44
10
5
10
0
22
0
6
16,700
281
0
44
35.224179
2.667153
178
0
Pune
India
Mumbai
India
Aerobus A350-1000
188
21
48
11
6
10
1
0
1
6
14,000
188
21
48
36.058664
3.288239
141
0
Chicago
United States
Charlotte
United States
Boeing 787-9 Dreamliner
72
0
6
11
6
10
1
1
1
5
4,000
72
0
6
33.490869
3.411057
14
0
Moscow
Russia
Kazan
Russia
Embraer E170
281
0
44
11
6
10
1
11
1
7
16,700
281
0
44
37.082865
2.833371
23
0
London
United Kingdom
Frankfurt am main
Germany
Aerobus A350-1000
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