In: Statistics and Probability
With increasing congestion and the level of pollution in major
cities, governments are trying to
reduce the regular use of cars and encourage the use of public
transport to travel to work. The
following table presents data on the methods of travel used by
Australian workers by age groups
collected during on the census night for CENSUS 2016. The data are
stored in file Assignmen
Dataset.XLS, TRAVEL sheet available in the Written Assignment
folder. Using this data and
EXCEL, answer the questions below.
Method of Travel to work by Age
(Employed persons counted at home on census night)
(a) Analyse the method of travel for the total number of employees
travelling to work, using
appropriate graphical descriptive method(s). Comment on your
findings.
Method of travel | 15 to 24 years |
25 to 34 years |
35 to 44 years |
45 to 54 years |
55 years or more |
Total |
Train | 59,160 | 66,088 | 50,508 | 30,899 | 14,877 | 221,532 |
Bus | 63,153 | 53,371 | 44,668 | 30,711 | 16,251 | 208,154 |
Ferry/tram | 6,856 | 10,138 | 5,519 | 3,481 | 2,108 | 28,102 |
Taxi | 4,203 | 5,257 | 4,759 | 3,705 | 2,139 | 20,063 |
Car as driver | 561,563 | 1,003,159 | 1,102,709 | 729,600 | 324,821 | 3,721,852 |
Car as passenger | 156,174 | 127,822 | 106,694 | 74,262 | 32,727 | 497,679 |
Motorbike/motor scooter | 11,995 | 23,067 | 13,802 | 5,694 | 2,687 | 57,245 |
Bicycle | 24,941 | 26,345 | 18,503 | 8,252 | 3,954 | 81,995 |
Walked only | 78,735 | 80,955 | 78,467 | 59,249 | 38,601 | 336,007 |
Other | 8,188 | 21,250 | 23,116 | 17,275 | 9,462 | 79,291 |
Total | 974,968 | 1,417,452 | 1,448,745 | 963,128 | 447,627 | 5,251,920 |
We want to analyze the given data using graphical descriptive method
1) Clustered Column :
For the graph below we can see that side by side comapriaion of the number of people from different age group using certain travelling method. Also which method of travel is most populer among the different agegroup.
2) 100% Staked Column : Using this graphical method we can observe that the share of % of the people from different group using certain method of travel. Eg. Younger people (age 15 - 24 prefer to use Car as passenger, Bicycle and Bus
3) Clustered Barchart : Using this we can observe number of people using certain travelling method of different age group. eg. In all age group people prefer to use car as driver for travelling purpose.
4) Stacked barchart : We can find the which age group prefer which travelling method also which age group travel most.
5) 100% Stcked Barchart: We can find the % of which age group prefer which travelling method.