Data source

The analysed data come from the dataset Airpassengers where monthly numbers of an international airline are collected in the period of 1949 till 1960. The source of the dataset is Time Series Analysis, Forecasting and Control.Third Edition.(1976) written by Box, G. E. P., Jenkins, G. M. and Reinsel, G. C.

Contents

The dataset consists of monthly number of passengers (in thousands) of an international airline during the time period from 1949 till 1960.

Data overview

There are 144 records in the dataset. The minimal value of a record is 104, the maximal value is 622. The median is 265.5.

##      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
## 1949 112 118 132 129 121 135 148 148 136 119 104 118
## 1950 115 126 141 135 125 149 170 170 158 133 114 140
## 1951 145 150 178 163 172 178 199 199 184 162 146 166
## 1952 171 180 193 181 183 218 230 242 209 191 172 194
## 1953 196 196 236 235 229 243 264 272 237 211 180 201
## 1954 204 188 235 227 234 264 302 293 259 229 203 229
## 1955 242 233 267 269 270 315 364 347 312 274 237 278
## 1956 284 277 317 313 318 374 413 405 355 306 271 306
## 1957 315 301 356 348 355 422 465 467 404 347 305 336
## 1958 340 318 362 348 363 435 491 505 404 359 310 337
## 1959 360 342 406 396 420 472 548 559 463 407 362 405
## 1960 417 391 419 461 472 535 622 606 508 461 390 432
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   104.0   180.0   265.5   280.3   360.5   622.0
##  Time-Series [1:144] from 1949 to 1961: 112 118 132 129 121 135 148 148 136 119 ...

The class of the data in the current dataset is “double”. It is the class for double precision floating point numbers.

## [1] "double"

If the first and the last records of the dataset are compared, it can be clearly seen that there is a growing trend in the records of the dataset.

## [1] 112 118 132 129 121 135
## [1] 622 606 508 461 390 432

Visualization of the data

As it can be seen from the following graph, the number of airline passengers has experienced a significant and steady growth during the period of time. The growth in passenger numbers can be observed also in the pie chart.

In the following 2 graphs the distribution of flights per year can be seen in 1949 and in 1960. It can be concluded that most of the passengers travel in summers, also January and December are rather active months. However, November is the quitest month with the smallest number of passengers. However, with the increasing number of flights also seasonal fluctuations in the number of passengers can be observed.

Conclusion

To conclude, the dataset for the analysis offers a limited number of records. However, the tendecy of the development of commercial aviation in the concrete period of time can be observed. In average, the number of passengers travelling by airplaines, increased 4 times in these 12 years of the dataset.