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.idea/.gitignore generated vendored Normal file
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# Default ignored files
/shelf/
/workspace.xml
# Editor-based HTTP Client requests
/httpRequests/
# Datasource local storage ignored files
/dataSources/
/dataSources.local.xml

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.idea/TimeSeriesAnalysis.iml generated Normal file
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<content url="file://$MODULE_DIR$">
<excludeFolder url="file://$MODULE_DIR$/.venv" />
<excludeFolder url="file://$MODULE_DIR$/.venv1" />
</content>
<orderEntry type="jdk" jdkName="Python 3.13 (TimeSeriesAnalysis)" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
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<component name="InspectionProjectProfileManager">
<settings>
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<version value="1.0" />
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="Black">
<option name="sdkName" value="Python 3.13 (TimeSeriesAnalysis)" />
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.13 (TimeSeriesAnalysis)" project-jdk-type="Python SDK" />
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.idea/modules.xml generated Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/TimeSeriesAnalysis.iml" filepath="$PROJECT_DIR$/.idea/TimeSeriesAnalysis.iml" />
</modules>
</component>
</project>

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README.md Normal file
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"Month","Thousands of Passengers"
"1949-01",112
"1949-02",118
"1949-03",132
"1949-04",129
"1949-05",121
"1949-06",135
"1949-07",148
"1949-08",148
"1949-09",136
"1949-10",119
"1949-11",104
"1949-12",118
"1950-01",115
"1950-02",126
"1950-03",141
"1950-04",135
"1950-05",125
"1950-06",149
"1950-07",170
"1950-08",170
"1950-09",158
"1950-10",133
"1950-11",114
"1950-12",140
"1951-01",145
"1951-02",150
"1951-03",178
"1951-04",163
"1951-05",172
"1951-06",178
"1951-07",199
"1951-08",199
"1951-09",184
"1951-10",162
"1951-11",146
"1951-12",166
"1952-01",171
"1952-02",180
"1952-03",193
"1952-04",181
"1952-05",183
"1952-06",218
"1952-07",230
"1952-08",242
"1952-09",209
"1952-10",191
"1952-11",172
"1952-12",194
"1953-01",196
"1953-02",196
"1953-03",236
"1953-04",235
"1953-05",229
"1953-06",243
"1953-07",264
"1953-08",272
"1953-09",237
"1953-10",211
"1953-11",180
"1953-12",201
"1954-01",204
"1954-02",188
"1954-03",235
"1954-04",227
"1954-05",234
"1954-06",264
"1954-07",302
"1954-08",293
"1954-09",259
"1954-10",229
"1954-11",203
"1954-12",229
"1955-01",242
"1955-02",233
"1955-03",267
"1955-04",269
"1955-05",270
"1955-06",315
"1955-07",364
"1955-08",347
"1955-09",312
"1955-10",274
"1955-11",237
"1955-12",278
"1956-01",284
"1956-02",277
"1956-03",317
"1956-04",313
"1956-05",318
"1956-06",374
"1956-07",413
"1956-08",405
"1956-09",355
"1956-10",306
"1956-11",271
"1956-12",306
"1957-01",315
"1957-02",301
"1957-03",356
"1957-04",348
"1957-05",355
"1957-06",422
"1957-07",465
"1957-08",467
"1957-09",404
"1957-10",347
"1957-11",305
"1957-12",336
"1958-01",340
"1958-02",318
"1958-03",362
"1958-04",348
"1958-05",363
"1958-06",435
"1958-07",491
"1958-08",505
"1958-09",404
"1958-10",359
"1958-11",310
"1958-12",337
"1959-01",360
"1959-02",342
"1959-03",406
"1959-04",396
"1959-05",420
"1959-06",472
"1959-07",548
"1959-08",559
"1959-09",463
"1959-10",407
"1959-11",362
"1959-12",405
"1960-01",417
"1960-02",391
"1960-03",419
"1960-04",461
"1960-05",472
"1960-06",535
"1960-07",622
"1960-08",606
"1960-09",508
"1960-10",461
"1960-11",390
"1960-12",432
1 Month Thousands of Passengers
2 1949-01 112
3 1949-02 118
4 1949-03 132
5 1949-04 129
6 1949-05 121
7 1949-06 135
8 1949-07 148
9 1949-08 148
10 1949-09 136
11 1949-10 119
12 1949-11 104
13 1949-12 118
14 1950-01 115
15 1950-02 126
16 1950-03 141
17 1950-04 135
18 1950-05 125
19 1950-06 149
20 1950-07 170
21 1950-08 170
22 1950-09 158
23 1950-10 133
24 1950-11 114
25 1950-12 140
26 1951-01 145
27 1951-02 150
28 1951-03 178
29 1951-04 163
30 1951-05 172
31 1951-06 178
32 1951-07 199
33 1951-08 199
34 1951-09 184
35 1951-10 162
36 1951-11 146
37 1951-12 166
38 1952-01 171
39 1952-02 180
40 1952-03 193
41 1952-04 181
42 1952-05 183
43 1952-06 218
44 1952-07 230
45 1952-08 242
46 1952-09 209
47 1952-10 191
48 1952-11 172
49 1952-12 194
50 1953-01 196
51 1953-02 196
52 1953-03 236
53 1953-04 235
54 1953-05 229
55 1953-06 243
56 1953-07 264
57 1953-08 272
58 1953-09 237
59 1953-10 211
60 1953-11 180
61 1953-12 201
62 1954-01 204
63 1954-02 188
64 1954-03 235
65 1954-04 227
66 1954-05 234
67 1954-06 264
68 1954-07 302
69 1954-08 293
70 1954-09 259
71 1954-10 229
72 1954-11 203
73 1954-12 229
74 1955-01 242
75 1955-02 233
76 1955-03 267
77 1955-04 269
78 1955-05 270
79 1955-06 315
80 1955-07 364
81 1955-08 347
82 1955-09 312
83 1955-10 274
84 1955-11 237
85 1955-12 278
86 1956-01 284
87 1956-02 277
88 1956-03 317
89 1956-04 313
90 1956-05 318
91 1956-06 374
92 1956-07 413
93 1956-08 405
94 1956-09 355
95 1956-10 306
96 1956-11 271
97 1956-12 306
98 1957-01 315
99 1957-02 301
100 1957-03 356
101 1957-04 348
102 1957-05 355
103 1957-06 422
104 1957-07 465
105 1957-08 467
106 1957-09 404
107 1957-10 347
108 1957-11 305
109 1957-12 336
110 1958-01 340
111 1958-02 318
112 1958-03 362
113 1958-04 348
114 1958-05 363
115 1958-06 435
116 1958-07 491
117 1958-08 505
118 1958-09 404
119 1958-10 359
120 1958-11 310
121 1958-12 337
122 1959-01 360
123 1959-02 342
124 1959-03 406
125 1959-04 396
126 1959-05 420
127 1959-06 472
128 1959-07 548
129 1959-08 559
130 1959-09 463
131 1959-10 407
132 1959-11 362
133 1959-12 405
134 1960-01 417
135 1960-02 391
136 1960-03 419
137 1960-04 461
138 1960-05 472
139 1960-06 535
140 1960-07 622
141 1960-08 606
142 1960-09 508
143 1960-10 461
144 1960-11 390
145 1960-12 432

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Month,Thousands of Passengers,Trend,Seasonality,Residuals
1949-01-01,112,,-24.74873737373736,
1949-02-01,118,,-36.18813131313131,
1949-03-01,132,,-2.2411616161616195,
1949-04-01,129,,-8.036616161616166,
1949-05-01,121,,-4.5063131313131395,
1949-06-01,135,,35.40277777777778,
1949-07-01,148,126.79166666666666,63.83080808080808,-42.62247474747474
1949-08-01,148,127.25,62.82323232323231,-42.07323232323231
1949-09-01,136,127.95833333333331,16.52020202020202,-8.478535353535335
1949-10-01,119,128.58333333333331,-20.642676767676765,11.05934343434345
1949-11-01,104,129.0,-53.593434343434346,28.593434343434346
1949-12-01,118,129.75,-28.619949494949505,16.869949494949505
1950-01-01,115,131.25,-24.74873737373736,8.49873737373736
1950-02-01,126,133.08333333333331,-36.18813131313131,29.104797979797993
1950-03-01,141,134.91666666666666,-2.2411616161616195,8.324494949494962
1950-04-01,135,136.41666666666666,-8.036616161616166,6.619949494949509
1950-05-01,125,137.41666666666666,-4.5063131313131395,-7.910353535353518
1950-06-01,149,138.75,35.40277777777778,-25.15277777777778
1950-07-01,170,140.91666666666666,63.83080808080808,-34.74747474747474
1950-08-01,170,143.16666666666666,62.82323232323231,-35.98989898989897
1950-09-01,158,145.70833333333331,16.52020202020202,-4.228535353535335
1950-10-01,133,148.41666666666666,-20.642676767676765,5.226010101010107
1950-11-01,114,151.54166666666666,-53.593434343434346,16.05176767676769
1950-12-01,140,154.70833333333331,-28.619949494949505,13.911616161616191
1951-01-01,145,157.125,-24.74873737373736,12.62373737373736
1951-02-01,150,159.54166666666666,-36.18813131313131,26.64646464646465
1951-03-01,178,161.83333333333331,-2.2411616161616195,18.407828282828305
1951-04-01,163,164.125,-8.036616161616166,6.911616161616166
1951-05-01,172,166.66666666666666,-4.5063131313131395,9.839646464646481
1951-06-01,178,169.08333333333331,35.40277777777778,-26.486111111111093
1951-07-01,199,171.25,63.83080808080808,-36.08080808080808
1951-08-01,199,173.58333333333331,62.82323232323231,-37.406565656565625
1951-09-01,184,175.45833333333331,16.52020202020202,-7.978535353535335
1951-10-01,162,176.83333333333331,-20.642676767676765,5.80934343434345
1951-11-01,146,178.04166666666666,-53.593434343434346,21.55176767676769
1951-12-01,166,180.16666666666663,-28.619949494949505,14.453282828282877
1952-01-01,171,183.12499999999997,-24.74873737373736,12.623737373737388
1952-02-01,180,186.20833333333331,-36.18813131313131,29.979797979797993
1952-03-01,193,189.04166666666663,-2.2411616161616195,6.199494949494991
1952-04-01,181,191.29166666666666,-8.036616161616166,-2.255050505050491
1952-05-01,183,193.58333333333331,-4.5063131313131395,-6.077020202020175
1952-06-01,218,195.83333333333331,35.40277777777778,-13.236111111111093
1952-07-01,230,198.04166666666663,63.83080808080808,-31.872474747474712
1952-08-01,242,199.75,62.82323232323231,-20.57323232323231
1952-09-01,209,202.20833333333331,16.52020202020202,-9.728535353535335
1952-10-01,191,206.25,-20.642676767676765,5.392676767676765
1952-11-01,172,210.41666666666666,-53.593434343434346,15.176767676767689
1952-12-01,194,213.375,-28.619949494949505,9.244949494949505
1953-01-01,196,215.83333333333331,-24.74873737373736,4.915404040404045
1953-02-01,196,218.5,-36.18813131313131,13.688131313131308
1953-03-01,236,220.91666666666666,-2.2411616161616195,17.324494949494962
1953-04-01,235,222.91666666666666,-8.036616161616166,20.11994949494951
1953-05-01,229,224.08333333333331,-4.5063131313131395,9.422979797979824
1953-06-01,243,224.70833333333331,35.40277777777778,-17.111111111111093
1953-07-01,264,225.33333333333331,63.83080808080808,-25.164141414141397
1953-08-01,272,225.33333333333331,62.82323232323231,-16.156565656565625
1953-09-01,237,224.95833333333331,16.52020202020202,-4.478535353535335
1953-10-01,211,224.58333333333331,-20.642676767676765,7.05934343434345
1953-11-01,180,224.45833333333331,-53.593434343434346,9.135101010101032
1953-12-01,201,225.54166666666666,-28.619949494949505,4.078282828282848
1954-01-01,204,227.99999999999997,-24.74873737373736,0.7487373737373879
1954-02-01,188,230.45833333333331,-36.18813131313131,-6.270202020202007
1954-03-01,235,232.25,-2.2411616161616195,4.9911616161616195
1954-04-01,227,233.91666666666666,-8.036616161616166,1.119949494949509
1954-05-01,234,235.62499999999997,-4.5063131313131395,2.881313131313168
1954-06-01,264,237.75,35.40277777777778,-9.152777777777779
1954-07-01,302,240.49999999999997,63.83080808080808,-2.3308080808080547
1954-08-01,293,243.95833333333331,62.82323232323231,-13.781565656565625
1954-09-01,259,247.16666666666666,16.52020202020202,-4.686868686868678
1954-10-01,229,250.25,-20.642676767676765,-0.6073232323232354
1954-11-01,203,253.5,-53.593434343434346,3.093434343434346
1954-12-01,229,257.125,-28.619949494949505,0.49494949494950546
1955-01-01,242,261.83333333333326,-24.74873737373736,4.915404040404102
1955-02-01,233,266.66666666666663,-36.18813131313131,2.521464646464679
1955-03-01,267,271.125,-2.2411616161616195,-1.8838383838383805
1955-04-01,269,275.2083333333333,-8.036616161616166,1.8282828282828518
1955-05-01,270,278.5,-4.5063131313131395,-3.9936868686868605
1955-06-01,315,281.9583333333333,35.40277777777778,-2.361111111111093
1955-07-01,364,285.75,63.83080808080808,14.419191919191917
1955-08-01,347,289.3333333333333,62.82323232323231,-5.1565656565656255
1955-09-01,312,293.25,16.52020202020202,2.2297979797979792
1955-10-01,274,297.16666666666663,-20.642676767676765,-2.523989898989864
1955-11-01,237,301.0,-53.593434343434346,-10.406565656565654
1955-12-01,278,305.4583333333333,-28.619949494949505,1.161616161616191
1956-01-01,284,309.9583333333333,-24.74873737373736,-1.209595959595955
1956-02-01,277,314.41666666666663,-36.18813131313131,-1.228535353535321
1956-03-01,317,318.625,-2.2411616161616195,0.6161616161616195
1956-04-01,313,321.75,-8.036616161616166,-0.7133838383838338
1956-05-01,318,324.5,-4.5063131313131395,-1.9936868686868605
1956-06-01,374,327.0833333333333,35.40277777777778,11.513888888888907
1956-07-01,413,329.54166666666663,63.83080808080808,19.627525252525288
1956-08-01,405,331.8333333333333,62.82323232323231,10.343434343434375
1956-09-01,355,334.4583333333333,16.52020202020202,4.021464646464665
1956-10-01,306,337.54166666666663,-20.642676767676765,-10.898989898989864
1956-11-01,271,340.54166666666663,-53.593434343434346,-15.948232323232283
1956-12-01,306,344.0833333333333,-28.619949494949505,-9.463383838383809
1957-01-01,315,348.25,-24.74873737373736,-8.50126262626264
1957-02-01,301,353.0,-36.18813131313131,-15.811868686868692
1957-03-01,356,357.62499999999994,-2.2411616161616195,0.6161616161616763
1957-04-01,348,361.375,-8.036616161616166,-5.338383838383834
1957-05-01,355,364.5,-4.5063131313131395,-4.9936868686868605
1957-06-01,422,367.16666666666663,35.40277777777778,19.430555555555593
1957-07-01,465,369.4583333333333,63.83080808080808,31.710858585858603
1957-08-01,467,371.2083333333333,62.82323232323231,32.968434343434375
1957-09-01,404,372.16666666666663,16.52020202020202,15.31313131313135
1957-10-01,347,372.41666666666663,-20.642676767676765,-4.773989898989864
1957-11-01,305,372.75,-53.593434343434346,-14.156565656565654
1957-12-01,336,373.625,-28.619949494949505,-9.005050505050495
1958-01-01,340,375.25,-24.74873737373736,-10.50126262626264
1958-02-01,318,377.91666666666663,-36.18813131313131,-23.72853535353532
1958-03-01,362,379.5,-2.2411616161616195,-15.25883838383838
1958-04-01,348,380.0,-8.036616161616166,-23.963383838383834
1958-05-01,363,380.70833333333337,-4.5063131313131395,-13.202020202020233
1958-06-01,435,380.9583333333333,35.40277777777778,18.638888888888907
1958-07-01,491,381.8333333333333,63.83080808080808,45.3358585858586
1958-08-01,505,383.66666666666663,62.82323232323231,58.51010101010106
1958-09-01,404,386.5,16.52020202020202,0.9797979797979792
1958-10-01,359,390.3333333333333,-20.642676767676765,-10.69065656565655
1958-11-01,310,394.7083333333333,-53.593434343434346,-31.11489898989897
1958-12-01,337,398.625,-28.619949494949505,-33.00505050505049
1959-01-01,360,402.5416666666666,-24.74873737373736,-17.792929292929212
1959-02-01,342,407.16666666666663,-36.18813131313131,-28.97853535353532
1959-03-01,406,411.875,-2.2411616161616195,-3.6338383838383805
1959-04-01,396,416.33333333333326,-8.036616161616166,-12.296717171717091
1959-05-01,420,420.49999999999994,-4.5063131313131395,4.006313131313196
1959-06-01,472,425.5,35.40277777777778,11.097222222222221
1959-07-01,548,430.70833333333326,63.83080808080808,53.46085858585866
1959-08-01,559,435.125,62.82323232323231,61.05176767676769
1959-09-01,463,437.7083333333333,16.52020202020202,8.771464646464665
1959-10-01,407,440.9583333333333,-20.642676767676765,-13.31565656565655
1959-11-01,362,445.8333333333333,-53.593434343434346,-30.23989898989897
1959-12-01,405,450.625,-28.619949494949505,-17.005050505050495
1960-01-01,417,456.33333333333326,-24.74873737373736,-14.584595959595898
1960-02-01,391,461.37499999999994,-36.18813131313131,-34.186868686868635
1960-03-01,419,465.2083333333333,-2.2411616161616195,-43.967171717171695
1960-04-01,461,469.3333333333333,-8.036616161616166,-0.2967171717171482
1960-05-01,472,472.75,-4.5063131313131395,3.7563131313131395
1960-06-01,535,475.04166666666663,35.40277777777778,24.555555555555593
1960-07-01,622,,63.83080808080808,
1960-08-01,606,,62.82323232323231,
1960-09-01,508,,16.52020202020202,
1960-10-01,461,,-20.642676767676765,
1960-11-01,390,,-53.593434343434346,
1960-12-01,432,,-28.619949494949505,
1 Month Thousands of Passengers Trend Seasonality Residuals
2 1949-01-01 112 -24.74873737373736
3 1949-02-01 118 -36.18813131313131
4 1949-03-01 132 -2.2411616161616195
5 1949-04-01 129 -8.036616161616166
6 1949-05-01 121 -4.5063131313131395
7 1949-06-01 135 35.40277777777778
8 1949-07-01 148 126.79166666666666 63.83080808080808 -42.62247474747474
9 1949-08-01 148 127.25 62.82323232323231 -42.07323232323231
10 1949-09-01 136 127.95833333333331 16.52020202020202 -8.478535353535335
11 1949-10-01 119 128.58333333333331 -20.642676767676765 11.05934343434345
12 1949-11-01 104 129.0 -53.593434343434346 28.593434343434346
13 1949-12-01 118 129.75 -28.619949494949505 16.869949494949505
14 1950-01-01 115 131.25 -24.74873737373736 8.49873737373736
15 1950-02-01 126 133.08333333333331 -36.18813131313131 29.104797979797993
16 1950-03-01 141 134.91666666666666 -2.2411616161616195 8.324494949494962
17 1950-04-01 135 136.41666666666666 -8.036616161616166 6.619949494949509
18 1950-05-01 125 137.41666666666666 -4.5063131313131395 -7.910353535353518
19 1950-06-01 149 138.75 35.40277777777778 -25.15277777777778
20 1950-07-01 170 140.91666666666666 63.83080808080808 -34.74747474747474
21 1950-08-01 170 143.16666666666666 62.82323232323231 -35.98989898989897
22 1950-09-01 158 145.70833333333331 16.52020202020202 -4.228535353535335
23 1950-10-01 133 148.41666666666666 -20.642676767676765 5.226010101010107
24 1950-11-01 114 151.54166666666666 -53.593434343434346 16.05176767676769
25 1950-12-01 140 154.70833333333331 -28.619949494949505 13.911616161616191
26 1951-01-01 145 157.125 -24.74873737373736 12.62373737373736
27 1951-02-01 150 159.54166666666666 -36.18813131313131 26.64646464646465
28 1951-03-01 178 161.83333333333331 -2.2411616161616195 18.407828282828305
29 1951-04-01 163 164.125 -8.036616161616166 6.911616161616166
30 1951-05-01 172 166.66666666666666 -4.5063131313131395 9.839646464646481
31 1951-06-01 178 169.08333333333331 35.40277777777778 -26.486111111111093
32 1951-07-01 199 171.25 63.83080808080808 -36.08080808080808
33 1951-08-01 199 173.58333333333331 62.82323232323231 -37.406565656565625
34 1951-09-01 184 175.45833333333331 16.52020202020202 -7.978535353535335
35 1951-10-01 162 176.83333333333331 -20.642676767676765 5.80934343434345
36 1951-11-01 146 178.04166666666666 -53.593434343434346 21.55176767676769
37 1951-12-01 166 180.16666666666663 -28.619949494949505 14.453282828282877
38 1952-01-01 171 183.12499999999997 -24.74873737373736 12.623737373737388
39 1952-02-01 180 186.20833333333331 -36.18813131313131 29.979797979797993
40 1952-03-01 193 189.04166666666663 -2.2411616161616195 6.199494949494991
41 1952-04-01 181 191.29166666666666 -8.036616161616166 -2.255050505050491
42 1952-05-01 183 193.58333333333331 -4.5063131313131395 -6.077020202020175
43 1952-06-01 218 195.83333333333331 35.40277777777778 -13.236111111111093
44 1952-07-01 230 198.04166666666663 63.83080808080808 -31.872474747474712
45 1952-08-01 242 199.75 62.82323232323231 -20.57323232323231
46 1952-09-01 209 202.20833333333331 16.52020202020202 -9.728535353535335
47 1952-10-01 191 206.25 -20.642676767676765 5.392676767676765
48 1952-11-01 172 210.41666666666666 -53.593434343434346 15.176767676767689
49 1952-12-01 194 213.375 -28.619949494949505 9.244949494949505
50 1953-01-01 196 215.83333333333331 -24.74873737373736 4.915404040404045
51 1953-02-01 196 218.5 -36.18813131313131 13.688131313131308
52 1953-03-01 236 220.91666666666666 -2.2411616161616195 17.324494949494962
53 1953-04-01 235 222.91666666666666 -8.036616161616166 20.11994949494951
54 1953-05-01 229 224.08333333333331 -4.5063131313131395 9.422979797979824
55 1953-06-01 243 224.70833333333331 35.40277777777778 -17.111111111111093
56 1953-07-01 264 225.33333333333331 63.83080808080808 -25.164141414141397
57 1953-08-01 272 225.33333333333331 62.82323232323231 -16.156565656565625
58 1953-09-01 237 224.95833333333331 16.52020202020202 -4.478535353535335
59 1953-10-01 211 224.58333333333331 -20.642676767676765 7.05934343434345
60 1953-11-01 180 224.45833333333331 -53.593434343434346 9.135101010101032
61 1953-12-01 201 225.54166666666666 -28.619949494949505 4.078282828282848
62 1954-01-01 204 227.99999999999997 -24.74873737373736 0.7487373737373879
63 1954-02-01 188 230.45833333333331 -36.18813131313131 -6.270202020202007
64 1954-03-01 235 232.25 -2.2411616161616195 4.9911616161616195
65 1954-04-01 227 233.91666666666666 -8.036616161616166 1.119949494949509
66 1954-05-01 234 235.62499999999997 -4.5063131313131395 2.881313131313168
67 1954-06-01 264 237.75 35.40277777777778 -9.152777777777779
68 1954-07-01 302 240.49999999999997 63.83080808080808 -2.3308080808080547
69 1954-08-01 293 243.95833333333331 62.82323232323231 -13.781565656565625
70 1954-09-01 259 247.16666666666666 16.52020202020202 -4.686868686868678
71 1954-10-01 229 250.25 -20.642676767676765 -0.6073232323232354
72 1954-11-01 203 253.5 -53.593434343434346 3.093434343434346
73 1954-12-01 229 257.125 -28.619949494949505 0.49494949494950546
74 1955-01-01 242 261.83333333333326 -24.74873737373736 4.915404040404102
75 1955-02-01 233 266.66666666666663 -36.18813131313131 2.521464646464679
76 1955-03-01 267 271.125 -2.2411616161616195 -1.8838383838383805
77 1955-04-01 269 275.2083333333333 -8.036616161616166 1.8282828282828518
78 1955-05-01 270 278.5 -4.5063131313131395 -3.9936868686868605
79 1955-06-01 315 281.9583333333333 35.40277777777778 -2.361111111111093
80 1955-07-01 364 285.75 63.83080808080808 14.419191919191917
81 1955-08-01 347 289.3333333333333 62.82323232323231 -5.1565656565656255
82 1955-09-01 312 293.25 16.52020202020202 2.2297979797979792
83 1955-10-01 274 297.16666666666663 -20.642676767676765 -2.523989898989864
84 1955-11-01 237 301.0 -53.593434343434346 -10.406565656565654
85 1955-12-01 278 305.4583333333333 -28.619949494949505 1.161616161616191
86 1956-01-01 284 309.9583333333333 -24.74873737373736 -1.209595959595955
87 1956-02-01 277 314.41666666666663 -36.18813131313131 -1.228535353535321
88 1956-03-01 317 318.625 -2.2411616161616195 0.6161616161616195
89 1956-04-01 313 321.75 -8.036616161616166 -0.7133838383838338
90 1956-05-01 318 324.5 -4.5063131313131395 -1.9936868686868605
91 1956-06-01 374 327.0833333333333 35.40277777777778 11.513888888888907
92 1956-07-01 413 329.54166666666663 63.83080808080808 19.627525252525288
93 1956-08-01 405 331.8333333333333 62.82323232323231 10.343434343434375
94 1956-09-01 355 334.4583333333333 16.52020202020202 4.021464646464665
95 1956-10-01 306 337.54166666666663 -20.642676767676765 -10.898989898989864
96 1956-11-01 271 340.54166666666663 -53.593434343434346 -15.948232323232283
97 1956-12-01 306 344.0833333333333 -28.619949494949505 -9.463383838383809
98 1957-01-01 315 348.25 -24.74873737373736 -8.50126262626264
99 1957-02-01 301 353.0 -36.18813131313131 -15.811868686868692
100 1957-03-01 356 357.62499999999994 -2.2411616161616195 0.6161616161616763
101 1957-04-01 348 361.375 -8.036616161616166 -5.338383838383834
102 1957-05-01 355 364.5 -4.5063131313131395 -4.9936868686868605
103 1957-06-01 422 367.16666666666663 35.40277777777778 19.430555555555593
104 1957-07-01 465 369.4583333333333 63.83080808080808 31.710858585858603
105 1957-08-01 467 371.2083333333333 62.82323232323231 32.968434343434375
106 1957-09-01 404 372.16666666666663 16.52020202020202 15.31313131313135
107 1957-10-01 347 372.41666666666663 -20.642676767676765 -4.773989898989864
108 1957-11-01 305 372.75 -53.593434343434346 -14.156565656565654
109 1957-12-01 336 373.625 -28.619949494949505 -9.005050505050495
110 1958-01-01 340 375.25 -24.74873737373736 -10.50126262626264
111 1958-02-01 318 377.91666666666663 -36.18813131313131 -23.72853535353532
112 1958-03-01 362 379.5 -2.2411616161616195 -15.25883838383838
113 1958-04-01 348 380.0 -8.036616161616166 -23.963383838383834
114 1958-05-01 363 380.70833333333337 -4.5063131313131395 -13.202020202020233
115 1958-06-01 435 380.9583333333333 35.40277777777778 18.638888888888907
116 1958-07-01 491 381.8333333333333 63.83080808080808 45.3358585858586
117 1958-08-01 505 383.66666666666663 62.82323232323231 58.51010101010106
118 1958-09-01 404 386.5 16.52020202020202 0.9797979797979792
119 1958-10-01 359 390.3333333333333 -20.642676767676765 -10.69065656565655
120 1958-11-01 310 394.7083333333333 -53.593434343434346 -31.11489898989897
121 1958-12-01 337 398.625 -28.619949494949505 -33.00505050505049
122 1959-01-01 360 402.5416666666666 -24.74873737373736 -17.792929292929212
123 1959-02-01 342 407.16666666666663 -36.18813131313131 -28.97853535353532
124 1959-03-01 406 411.875 -2.2411616161616195 -3.6338383838383805
125 1959-04-01 396 416.33333333333326 -8.036616161616166 -12.296717171717091
126 1959-05-01 420 420.49999999999994 -4.5063131313131395 4.006313131313196
127 1959-06-01 472 425.5 35.40277777777778 11.097222222222221
128 1959-07-01 548 430.70833333333326 63.83080808080808 53.46085858585866
129 1959-08-01 559 435.125 62.82323232323231 61.05176767676769
130 1959-09-01 463 437.7083333333333 16.52020202020202 8.771464646464665
131 1959-10-01 407 440.9583333333333 -20.642676767676765 -13.31565656565655
132 1959-11-01 362 445.8333333333333 -53.593434343434346 -30.23989898989897
133 1959-12-01 405 450.625 -28.619949494949505 -17.005050505050495
134 1960-01-01 417 456.33333333333326 -24.74873737373736 -14.584595959595898
135 1960-02-01 391 461.37499999999994 -36.18813131313131 -34.186868686868635
136 1960-03-01 419 465.2083333333333 -2.2411616161616195 -43.967171717171695
137 1960-04-01 461 469.3333333333333 -8.036616161616166 -0.2967171717171482
138 1960-05-01 472 472.75 -4.5063131313131395 3.7563131313131395
139 1960-06-01 535 475.04166666666663 35.40277777777778 24.555555555555593
140 1960-07-01 622 63.83080808080808
141 1960-08-01 606 62.82323232323231
142 1960-09-01 508 16.52020202020202
143 1960-10-01 461 -20.642676767676765
144 1960-11-01 390 -53.593434343434346
145 1960-12-01 432 -28.619949494949505

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from flask import Flask, request, render_template, send_file, session
import pandas as pd
import io
import os
from statsmodels.tsa.seasonal import seasonal_decompose
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
import pmdarima as pm
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import plotly.io as pio
from werkzeug.utils import secure_filename
import matplotlib
matplotlib.use('Agg') # Use non-interactive backend
import matplotlib.pyplot as plt
import io
import base64
import numpy as np
app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = 'Uploads'
app.config['ALLOWED_EXTENSIONS'] = {'csv', 'xls', 'xlsx'}
app.secret_key = 'your-secret-key' # Required for session management
# Ensure upload folder exists
os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
def allowed_file(filename):
return '.' in filename and filename.rsplit('.', 1)[1].lower() in app.config['ALLOWED_EXTENSIONS']
def create_acf_pacf_plots(data):
# Create ACF and PACF plots using matplotlib
fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 8))
plot_acf(data, ax=ax1, lags=40)
ax1.set_title('Autocorrelation Function')
plot_pacf(data, ax=ax2, lags=40)
ax2.set_title('Partial Autocorrelation Function')
# Convert matplotlib plot to Plotly
buf = io.BytesIO()
plt.savefig(buf, format='png')
plt.close(fig)
buf.seek(0)
img_str = base64.b64encode(buf.getvalue()).decode('utf-8')
# Create Plotly figure with image
fig_plotly = go.Figure()
fig_plotly.add_layout_image(
dict(
source=f'data:image/png;base64,{img_str}',
x=0,
y=1,
xref="paper",
yref="paper",
sizex=1,
sizey=1,
sizing="stretch",
opacity=1,
layer="below"
)
)
fig_plotly.update_layout(
height=600,
showlegend=False,
xaxis=dict(visible=False),
yaxis=dict(visible=False)
)
return pio.to_html(fig_plotly, full_html=False)
def process_time_series(filepath, do_decomposition, do_forecasting, do_acf_pacf, train_percent, forecast_periods):
try:
# Read file
if filepath.endswith('.csv'):
df = pd.read_csv(filepath)
else:
df = pd.read_excel(filepath)
# Ensure datetime column exists
date_col = df.columns[0] # Assume first column is date
value_col = df.columns[1] # Assume second column is value
df[date_col] = pd.to_datetime(df[date_col])
df.set_index(date_col, inplace=True)
# Initialize variables
plot_html = None
forecast_html = None
acf_pacf_html = None
summary = df[value_col].describe().to_dict()
arima_params = None
seasonal_params = None
train_size = None
test_size = None
# Save processed data
processed_df = df.copy()
# Time series decomposition
if do_decomposition:
decomposition = seasonal_decompose(df[value_col], model='additive', period=12)
fig = make_subplots(rows=4, cols=1,
subplot_titles=('Original Series', 'Trend', 'Seasonality', 'Residuals'))
fig.add_trace(go.Scatter(x=df.index, y=df[value_col], name='Original'), row=1, col=1)
fig.add_trace(go.Scatter(x=df.index, y=decomposition.trend, name='Trend'), row=2, col=1)
fig.add_trace(go.Scatter(x=df.index, y=decomposition.seasonal, name='Seasonality'), row=3, col=1)
fig.add_trace(go.Scatter(x=df.index, y=decomposition.resid, name='Residuals'), row=4, col=1)
fig.update_layout(height=800, showlegend=True)
plot_html = pio.to_html(fig, full_html=False)
processed_df['Trend'] = decomposition.trend
processed_df['Seasonality'] = decomposition.seasonal
processed_df['Residuals'] = decomposition.resid
# Forecasting
if do_forecasting:
# Split data into train and test
train_size = int(len(df) * train_percent)
test_size = len(df) - train_size
train_data = df[value_col].iloc[:train_size]
test_data = df[value_col].iloc[train_size:] if test_size > 0 else pd.Series()
# Auto ARIMA for best parameters
model = pm.auto_arima(train_data,
seasonal=True,
m=12,
start_p=0, start_q=0,
max_p=3, max_q=3,
start_P=0, start_Q=0,
max_P=2, max_Q=2,
d=1, D=1,
trace=False,
error_action='ignore',
suppress_warnings=True,
stepwise=True)
# Fit ARIMA with best parameters
model_fit = model.fit(train_data)
forecast = model_fit.predict(n_periods=forecast_periods)
# Get ARIMA parameters
arima_params = model.order
seasonal_params = model.seasonal_order
# Forecast plot
forecast_dates = pd.date_range(start=df.index[-1], periods=forecast_periods + 1,
freq=df.index.inferred_freq)[1:]
forecast_fig = go.Figure()
forecast_fig.add_trace(go.Scatter(x=df.index, y=df[value_col], name='Historical'))
if test_size > 0:
forecast_fig.add_trace(
go.Scatter(x=df.index[train_size:], y=test_data, name='Test Data', line=dict(color='green')))
forecast_fig.add_trace(go.Scatter(x=forecast_dates, y=forecast, name='Forecast', line=dict(dash='dash')))
forecast_fig.update_layout(title=f'Forecast (ARIMA{arima_params}, Seasonal{seasonal_params})', height=400)
forecast_html = pio.to_html(forecast_fig, full_html=False)
# ACF/PACF plots
if do_acf_pacf:
acf_pacf_html = create_acf_pacf_plots(df[value_col])
# Save processed data
processed_df.to_csv(os.path.join(app.config['UPLOAD_FOLDER'], 'processed_' + os.path.basename(filepath)))
return {
'plot_html': plot_html,
'forecast_html': forecast_html,
'acf_pacf_html': acf_pacf_html,
'summary': summary,
'filename': 'processed_' + os.path.basename(filepath),
'arima_params': arima_params,
'seasonal_params': seasonal_params,
'train_size': train_size,
'test_size': test_size
}
except Exception as e:
return {'error': str(e)}
@app.route('/')
def index():
return render_template('index.html')
@app.route('/upload', methods=['POST'])
def upload_file():
if 'file' not in request.files:
return render_template('index.html', error='No file part')
file = request.files['file']
if file.filename == '':
return render_template('index.html', error='No selected file')
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
file.save(filepath)
session['filepath'] = filepath # Store filepath in session
# Get user selections
do_decomposition = 'decomposition' in request.form
do_forecasting = 'forecasting' in request.form
do_acf_pacf = 'acf_pacf' in request.form
train_percent = float(request.form.get('train_percent', 80)) / 100
test_percent = float(request.form.get('test_percent', 20)) / 100
# Validate train/test percentages
if abs(train_percent + test_percent - 1.0) > 0.01: # Allow small float precision errors
return render_template('index.html', error='Train and test percentages must sum to 100%')
session['do_decomposition'] = do_decomposition
session['do_forecasting'] = do_forecasting
session['do_acf_pacf'] = do_acf_pacf
result = process_time_series(filepath, do_decomposition, do_forecasting, do_acf_pacf, train_percent,
forecast_periods=int(request.form.get('forecast_periods', 12)))
if 'error' in result:
return render_template('index.html', error=result['error'])
return render_template('results.html',
do_decomposition=do_decomposition,
do_forecasting=do_forecasting,
do_acf_pacf=do_acf_pacf,
train_percent=train_percent * 100,
test_percent=test_percent * 100,
forecast_periods=int(request.form.get('forecast_periods', 12)),
**result)
@app.route('/reforecast', methods=['POST'])
def reforecast():
filepath = session.get('filepath')
if not filepath or not os.path.exists(filepath):
return render_template('index.html', error='Session expired or file not found. Please upload the file again.')
# Get user selections from reforecast form
train_percent = float(request.form.get('train_percent', 80)) / 100
test_percent = float(request.form.get('test_percent', 20)) / 100
forecast_periods = int(request.form.get('forecast_periods', 12))
# Validate train/test percentages
if abs(train_percent + test_percent - 1.0) > 0.01: # Allow small float precision errors
return render_template('index.html', error='Train and test percentages must sum to 100%')
# Get original selections from session or defaults
do_decomposition = session.get('do_decomposition', False)
do_forecasting = True # Since this is a reforecast
do_acf_pacf = session.get('do_acf_pacf', False)
result = process_time_series(filepath, do_decomposition, do_forecasting, do_acf_pacf, train_percent,
forecast_periods)
if 'error' in result:
return render_template('index.html', error=result['error'])
# Update session with new parameters
session['train_percent'] = train_percent
session['test_percent'] = test_percent
session['forecast_periods'] = forecast_periods
return render_template('results.html',
do_decomposition=do_decomposition,
do_forecasting=do_forecasting,
do_acf_pacf=do_acf_pacf,
train_percent=train_percent * 100,
test_percent=test_percent * 100,
forecast_periods=forecast_periods,
**result)
@app.route('/download/<filename>')
def download_file(filename):
filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
return send_file(filepath, as_attachment=True)
if __name__ == '__main__':
app.run(debug=True)

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templates/index.html Normal file
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<!DOCTYPE html>
<html>
<head>
<title>Time Series Analysis</title>
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
</head>
<body>
<div class="container mt-5">
<h1 class="mb-4">Time Series Analysis App</h1>
<div class="card">
<div class="card-body">
<h5 class="card-title">Upload Time Series Data</h5>
<p class="card-text">Upload a CSV or Excel file with time series data. First column should be dates, second column should be values.</p>
<form method="post" enctype="multipart/form-data" action="/upload">
<div class="mb-3">
<input type="file" class="form-control" name="file" accept=".csv,.xls,.xlsx">
</div>
<h6 class="mt-3">Select Analyses:</h6>
<div class="form-check">
<input class="form-check-input" type="checkbox" name="decomposition" id="decomposition" checked>
<label class="form-check-label" for="decomposition">
Time Series Decomposition (Trend, Seasonality, Residuals)
</label>
</div>
<div class="form-check">
<input class="form-check-input" type="checkbox" name="forecasting" id="forecasting" checked>
<label class="form-check-label" for="forecasting">
Forecasting
</label>
</div>
<div class="form-check">
<input class="form-check-input" type="checkbox" name="acf_pacf" id="acf_pacf" checked>
<label class="form-check-label" for="acf_pacf">
ACF and PACF Plots
</label>
</div>
<div class="mt-3" id="forecast_options" style="display: none;">
<h6>Forecasting Options:</h6>
<div class="mb-3">
<label for="train_percent" class="form-label">Training Data Percentage (50-95%):</label>
<input type="number" class="form-control" name="train_percent" id="train_percent" value="80" min="50" max="95" step="1">
</div>
<div class="mb-3">
<label for="test_percent" class="form-label">Test Data Percentage (5-50%):</label>
<input type="number" class="form-control" name="test_percent" id="test_percent" value="20" min="5" max="50" step="1">
</div>
<div class="mb-3">
<label for="forecast_periods" class="form-label">Number of Periods to Forecast (1-24):</label>
<input type="number" class="form-control" name="forecast_periods" id="forecast_periods" value="12" min="1" max="24" step="1">
</div>
</div>
<button type="submit" class="btn btn-primary mt-3">Analyze</button>
</form>
{% if error %}
<div class="alert alert-danger mt-3">{{ error }}</div>
{% endif %}
</div>
</div>
</div>
<script>
// Show/hide forecasting options based on checkbox
document.getElementById('forecasting').addEventListener('change', function() {
document.getElementById('forecast_options').style.display = this.checked ? 'block' : 'none';
});
// Ensure train and test percentages sum to 100
const trainInput = document.getElementById('train_percent');
const testInput = document.getElementById('test_percent');
trainInput.addEventListener('input', function() {
testInput.value = (100 - parseFloat(this.value)).toFixed(0);
});
testInput.addEventListener('input', function() {
trainInput.value = (100 - parseFloat(this.value)).toFixed(0);
});
</script>
</body>
</html>

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<!DOCTYPE html>
<html>
<head>
<title>Analysis Results</title>
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
<script src="https://cdn.plot.ly/plotly-2.20.0.min.js"></script>
</head>
<body>
<div class="container mt-5">
<h1 class="mb-4">Time Series Analysis Results</h1>
<div class="card mb-4">
<div class="card-body">
<h5 class="card-title">Summary Statistics</h5>
<table class="table">
{% for key, value in summary.items() %}
<tr>
<td>{{ key }}</td>
<td>{{ value|round(2) }}</td>
</tr>
{% endfor %}
</table>
</div>
</div>
{% if do_decomposition %}
<div class="card mb-4">
<div class="card-body">
<h5 class="card-title">Time Series Decomposition</h5>
{{ plot_html | safe }}
</div>
</div>
{% endif %}
{% if do_forecasting %}
<div class="card mb-4">
<div class="card-body">
<h5 class="card-title">Forecast (ARIMA{{ arima_params }}, Seasonal{{ seasonal_params }})</h5>
<form method="post" action="/reforecast">
<div class="mb-3">
<label for="train_percent" class="form-label">Training Data Percentage (50-95%):</label>
<input type="number" class="form-control" name="train_percent" id="train_percent" value="{{ train_percent }}" min="50" max="95" step="1">
</div>
<div class="mb-3">
<label for="test_percent" class="form-label">Test Data Percentage (5-50%):</label>
<input type="number" class="form-control" name="test_percent" id="test_percent" value="{{ test_percent }}" min="5" max="50" step="1">
</div>
<div class="mb-3">
<label for="forecast_periods" class="form-label">Number of Periods to Forecast (1-24):</label>
<input type="number" class="form-control" name="forecast_periods" id="forecast_periods" value="{{ forecast_periods }}" min="1" max="24" step="1">
</div>
<button type="submit" class="btn btn-primary">Re-run Forecast</button>
</form>
<hr>
<p>Training Data: {{ train_percent }}% ({{ train_size }} observations)</p>
<p>Test Data: {{ test_percent }}% ({{ test_size }} observations)</p>
<p>Forecast Periods: {{ forecast_periods }}</p>
{{ forecast_html | safe }}
</div>
</div>
{% endif %}
{% if do_acf_pacf %}
<div class="card mb-4">
<div class="card-body">
<h5 class="card-title">ACF and PACF Plots</h5>
{{ acf_pacf_html | safe }}
</div>
</div>
{% endif %}
<a href="/download/{{ filename }}" class="btn btn-primary">Download Processed Data</a>
<a href="/" class="btn btn-secondary">Upload Another File</a>
</div>
<script>
// Ensure train and test percentages sum to 100
const trainInput = document.getElementById('train_percent');
const testInput = document.getElementById('test_percent');
trainInput.addEventListener('input', function() {
testInput.value = (100 - parseFloat(this.value)).toFixed(0);
});
testInput.addEventListener('input', function() {
trainInput.value = (100 - parseFloat(this.value)).toFixed(0);
});
</script>
</body>
</html>

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"Month","Thousands of Passengers"
"1949-01",112
"1949-02",118
"1949-03",132
"1949-04",129
"1949-05",121
"1949-06",135
"1949-07",148
"1949-08",148
"1949-09",136
"1949-10",119
"1949-11",104
"1949-12",118
"1950-01",115
"1950-02",126
"1950-03",141
"1950-04",135
"1950-05",125
"1950-06",149
"1950-07",170
"1950-08",170
"1950-09",158
"1950-10",133
"1950-11",114
"1950-12",140
"1951-01",145
"1951-02",150
"1951-03",178
"1951-04",163
"1951-05",172
"1951-06",178
"1951-07",199
"1951-08",199
"1951-09",184
"1951-10",162
"1951-11",146
"1951-12",166
"1952-01",171
"1952-02",180
"1952-03",193
"1952-04",181
"1952-05",183
"1952-06",218
"1952-07",230
"1952-08",242
"1952-09",209
"1952-10",191
"1952-11",172
"1952-12",194
"1953-01",196
"1953-02",196
"1953-03",236
"1953-04",235
"1953-05",229
"1953-06",243
"1953-07",264
"1953-08",272
"1953-09",237
"1953-10",211
"1953-11",180
"1953-12",201
"1954-01",204
"1954-02",188
"1954-03",235
"1954-04",227
"1954-05",234
"1954-06",264
"1954-07",302
"1954-08",293
"1954-09",259
"1954-10",229
"1954-11",203
"1954-12",229
"1955-01",242
"1955-02",233
"1955-03",267
"1955-04",269
"1955-05",270
"1955-06",315
"1955-07",364
"1955-08",347
"1955-09",312
"1955-10",274
"1955-11",237
"1955-12",278
"1956-01",284
"1956-02",277
"1956-03",317
"1956-04",313
"1956-05",318
"1956-06",374
"1956-07",413
"1956-08",405
"1956-09",355
"1956-10",306
"1956-11",271
"1956-12",306
"1957-01",315
"1957-02",301
"1957-03",356
"1957-04",348
"1957-05",355
"1957-06",422
"1957-07",465
"1957-08",467
"1957-09",404
"1957-10",347
"1957-11",305
"1957-12",336
"1958-01",340
"1958-02",318
"1958-03",362
"1958-04",348
"1958-05",363
"1958-06",435
"1958-07",491
"1958-08",505
"1958-09",404
"1958-10",359
"1958-11",310
"1958-12",337
"1959-01",360
"1959-02",342
"1959-03",406
"1959-04",396
"1959-05",420
"1959-06",472
"1959-07",548
"1959-08",559
"1959-09",463
"1959-10",407
"1959-11",362
"1959-12",405
"1960-01",417
"1960-02",391
"1960-03",419
"1960-04",461
"1960-05",472
"1960-06",535
"1960-07",622
"1960-08",606
"1960-09",508
"1960-10",461
"1960-11",390
"1960-12",432
1 Month Thousands of Passengers
2 1949-01 112
3 1949-02 118
4 1949-03 132
5 1949-04 129
6 1949-05 121
7 1949-06 135
8 1949-07 148
9 1949-08 148
10 1949-09 136
11 1949-10 119
12 1949-11 104
13 1949-12 118
14 1950-01 115
15 1950-02 126
16 1950-03 141
17 1950-04 135
18 1950-05 125
19 1950-06 149
20 1950-07 170
21 1950-08 170
22 1950-09 158
23 1950-10 133
24 1950-11 114
25 1950-12 140
26 1951-01 145
27 1951-02 150
28 1951-03 178
29 1951-04 163
30 1951-05 172
31 1951-06 178
32 1951-07 199
33 1951-08 199
34 1951-09 184
35 1951-10 162
36 1951-11 146
37 1951-12 166
38 1952-01 171
39 1952-02 180
40 1952-03 193
41 1952-04 181
42 1952-05 183
43 1952-06 218
44 1952-07 230
45 1952-08 242
46 1952-09 209
47 1952-10 191
48 1952-11 172
49 1952-12 194
50 1953-01 196
51 1953-02 196
52 1953-03 236
53 1953-04 235
54 1953-05 229
55 1953-06 243
56 1953-07 264
57 1953-08 272
58 1953-09 237
59 1953-10 211
60 1953-11 180
61 1953-12 201
62 1954-01 204
63 1954-02 188
64 1954-03 235
65 1954-04 227
66 1954-05 234
67 1954-06 264
68 1954-07 302
69 1954-08 293
70 1954-09 259
71 1954-10 229
72 1954-11 203
73 1954-12 229
74 1955-01 242
75 1955-02 233
76 1955-03 267
77 1955-04 269
78 1955-05 270
79 1955-06 315
80 1955-07 364
81 1955-08 347
82 1955-09 312
83 1955-10 274
84 1955-11 237
85 1955-12 278
86 1956-01 284
87 1956-02 277
88 1956-03 317
89 1956-04 313
90 1956-05 318
91 1956-06 374
92 1956-07 413
93 1956-08 405
94 1956-09 355
95 1956-10 306
96 1956-11 271
97 1956-12 306
98 1957-01 315
99 1957-02 301
100 1957-03 356
101 1957-04 348
102 1957-05 355
103 1957-06 422
104 1957-07 465
105 1957-08 467
106 1957-09 404
107 1957-10 347
108 1957-11 305
109 1957-12 336
110 1958-01 340
111 1958-02 318
112 1958-03 362
113 1958-04 348
114 1958-05 363
115 1958-06 435
116 1958-07 491
117 1958-08 505
118 1958-09 404
119 1958-10 359
120 1958-11 310
121 1958-12 337
122 1959-01 360
123 1959-02 342
124 1959-03 406
125 1959-04 396
126 1959-05 420
127 1959-06 472
128 1959-07 548
129 1959-08 559
130 1959-09 463
131 1959-10 407
132 1959-11 362
133 1959-12 405
134 1960-01 417
135 1960-02 391
136 1960-03 419
137 1960-04 461
138 1960-05 472
139 1960-06 535
140 1960-07 622
141 1960-08 606
142 1960-09 508
143 1960-10 461
144 1960-11 390
145 1960-12 432

145
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Month,Thousands of Passengers
1949-01-01,112
1949-02-01,118
1949-03-01,132
1949-04-01,129
1949-05-01,121
1949-06-01,135
1949-07-01,148
1949-08-01,148
1949-09-01,136
1949-10-01,119
1949-11-01,104
1949-12-01,118
1950-01-01,115
1950-02-01,126
1950-03-01,141
1950-04-01,135
1950-05-01,125
1950-06-01,149
1950-07-01,170
1950-08-01,170
1950-09-01,158
1950-10-01,133
1950-11-01,114
1950-12-01,140
1951-01-01,145
1951-02-01,150
1951-03-01,178
1951-04-01,163
1951-05-01,172
1951-06-01,178
1951-07-01,199
1951-08-01,199
1951-09-01,184
1951-10-01,162
1951-11-01,146
1951-12-01,166
1952-01-01,171
1952-02-01,180
1952-03-01,193
1952-04-01,181
1952-05-01,183
1952-06-01,218
1952-07-01,230
1952-08-01,242
1952-09-01,209
1952-10-01,191
1952-11-01,172
1952-12-01,194
1953-01-01,196
1953-02-01,196
1953-03-01,236
1953-04-01,235
1953-05-01,229
1953-06-01,243
1953-07-01,264
1953-08-01,272
1953-09-01,237
1953-10-01,211
1953-11-01,180
1953-12-01,201
1954-01-01,204
1954-02-01,188
1954-03-01,235
1954-04-01,227
1954-05-01,234
1954-06-01,264
1954-07-01,302
1954-08-01,293
1954-09-01,259
1954-10-01,229
1954-11-01,203
1954-12-01,229
1955-01-01,242
1955-02-01,233
1955-03-01,267
1955-04-01,269
1955-05-01,270
1955-06-01,315
1955-07-01,364
1955-08-01,347
1955-09-01,312
1955-10-01,274
1955-11-01,237
1955-12-01,278
1956-01-01,284
1956-02-01,277
1956-03-01,317
1956-04-01,313
1956-05-01,318
1956-06-01,374
1956-07-01,413
1956-08-01,405
1956-09-01,355
1956-10-01,306
1956-11-01,271
1956-12-01,306
1957-01-01,315
1957-02-01,301
1957-03-01,356
1957-04-01,348
1957-05-01,355
1957-06-01,422
1957-07-01,465
1957-08-01,467
1957-09-01,404
1957-10-01,347
1957-11-01,305
1957-12-01,336
1958-01-01,340
1958-02-01,318
1958-03-01,362
1958-04-01,348
1958-05-01,363
1958-06-01,435
1958-07-01,491
1958-08-01,505
1958-09-01,404
1958-10-01,359
1958-11-01,310
1958-12-01,337
1959-01-01,360
1959-02-01,342
1959-03-01,406
1959-04-01,396
1959-05-01,420
1959-06-01,472
1959-07-01,548
1959-08-01,559
1959-09-01,463
1959-10-01,407
1959-11-01,362
1959-12-01,405
1960-01-01,417
1960-02-01,391
1960-03-01,419
1960-04-01,461
1960-05-01,472
1960-06-01,535
1960-07-01,622
1960-08-01,606
1960-09-01,508
1960-10-01,461
1960-11-01,390
1960-12-01,432
1 Month Thousands of Passengers
2 1949-01-01 112
3 1949-02-01 118
4 1949-03-01 132
5 1949-04-01 129
6 1949-05-01 121
7 1949-06-01 135
8 1949-07-01 148
9 1949-08-01 148
10 1949-09-01 136
11 1949-10-01 119
12 1949-11-01 104
13 1949-12-01 118
14 1950-01-01 115
15 1950-02-01 126
16 1950-03-01 141
17 1950-04-01 135
18 1950-05-01 125
19 1950-06-01 149
20 1950-07-01 170
21 1950-08-01 170
22 1950-09-01 158
23 1950-10-01 133
24 1950-11-01 114
25 1950-12-01 140
26 1951-01-01 145
27 1951-02-01 150
28 1951-03-01 178
29 1951-04-01 163
30 1951-05-01 172
31 1951-06-01 178
32 1951-07-01 199
33 1951-08-01 199
34 1951-09-01 184
35 1951-10-01 162
36 1951-11-01 146
37 1951-12-01 166
38 1952-01-01 171
39 1952-02-01 180
40 1952-03-01 193
41 1952-04-01 181
42 1952-05-01 183
43 1952-06-01 218
44 1952-07-01 230
45 1952-08-01 242
46 1952-09-01 209
47 1952-10-01 191
48 1952-11-01 172
49 1952-12-01 194
50 1953-01-01 196
51 1953-02-01 196
52 1953-03-01 236
53 1953-04-01 235
54 1953-05-01 229
55 1953-06-01 243
56 1953-07-01 264
57 1953-08-01 272
58 1953-09-01 237
59 1953-10-01 211
60 1953-11-01 180
61 1953-12-01 201
62 1954-01-01 204
63 1954-02-01 188
64 1954-03-01 235
65 1954-04-01 227
66 1954-05-01 234
67 1954-06-01 264
68 1954-07-01 302
69 1954-08-01 293
70 1954-09-01 259
71 1954-10-01 229
72 1954-11-01 203
73 1954-12-01 229
74 1955-01-01 242
75 1955-02-01 233
76 1955-03-01 267
77 1955-04-01 269
78 1955-05-01 270
79 1955-06-01 315
80 1955-07-01 364
81 1955-08-01 347
82 1955-09-01 312
83 1955-10-01 274
84 1955-11-01 237
85 1955-12-01 278
86 1956-01-01 284
87 1956-02-01 277
88 1956-03-01 317
89 1956-04-01 313
90 1956-05-01 318
91 1956-06-01 374
92 1956-07-01 413
93 1956-08-01 405
94 1956-09-01 355
95 1956-10-01 306
96 1956-11-01 271
97 1956-12-01 306
98 1957-01-01 315
99 1957-02-01 301
100 1957-03-01 356
101 1957-04-01 348
102 1957-05-01 355
103 1957-06-01 422
104 1957-07-01 465
105 1957-08-01 467
106 1957-09-01 404
107 1957-10-01 347
108 1957-11-01 305
109 1957-12-01 336
110 1958-01-01 340
111 1958-02-01 318
112 1958-03-01 362
113 1958-04-01 348
114 1958-05-01 363
115 1958-06-01 435
116 1958-07-01 491
117 1958-08-01 505
118 1958-09-01 404
119 1958-10-01 359
120 1958-11-01 310
121 1958-12-01 337
122 1959-01-01 360
123 1959-02-01 342
124 1959-03-01 406
125 1959-04-01 396
126 1959-05-01 420
127 1959-06-01 472
128 1959-07-01 548
129 1959-08-01 559
130 1959-09-01 463
131 1959-10-01 407
132 1959-11-01 362
133 1959-12-01 405
134 1960-01-01 417
135 1960-02-01 391
136 1960-03-01 419
137 1960-04-01 461
138 1960-05-01 472
139 1960-06-01 535
140 1960-07-01 622
141 1960-08-01 606
142 1960-09-01 508
143 1960-10-01 461
144 1960-11-01 390
145 1960-12-01 432