python ai编程请人讲解、辅导Python ai Airport traffic

日期：2018-08-23 09:29

FIT1043: Assignment 1

Due: Sunday, 26 August 2018

Aim:

The  aim  of  this  assignment  is  to  investigate  and  visualize  data.  In  particular,  we  will

identify trends, gain insights from how those trends change over time.

Data:

The data we will use contains Airport traffic data and comes from the Australian Bureau

of Infrastructure, Transport and Regional Economics.

? The  CSV  file  contains  30  years  worth  of  monthly  data  listing  international  air

traffic volumes in  terms of passengers,  freight and mail,  to and  from Australian

airports.

? The file is available on Moodle and publicly available from data.gov.au

Hand-in Requirements

Please hand in a PDF file containing your answers and a Jupyter notebook file (.ipynb)

containing your Python code to all the questions respectively.

? You can use Word or other word processing software to format your submission.

Just save the final copy to a PDF before submitting.

? Make sure to include screenshots/images of the graphs you generate in order to

justify your answers to all the questions. (You will need to use screen-capture

functionality to create appropriate images.)

? We would like to see the Python code you write to format the data. Please include

a  copy  of  your  Python  code  in  your  submission  (submitting  your Jupyter

notebooks).

Python Availability

You will need to use Python to complete the assignment. You can do this by either:

1) running a Jupyter Notebook on a computer in the labs; or

2) installing Python (we recommend Anaconda) on your own machine.

2

Assignment Tasks

This assignment involves building a visualisation using Motion Chart and then answering

a series of questions about the data.

Visualising Airport Traffic

The aim of the first part of the assignment is to build a Motion Chart showing passenger,

freight and mail quantities over time for five different airports in Australia (Melbourne,

Sydney, Brisbane, Adelaide and Perth). More specifically, you should:

? Generate  a  Motion  chart  with  Passengers_Total  on  the  x-axis,

Freight_Total_(tonnes) on the y-axis and where the colour of the bubbles is given

by the  AustralianPort and  the  size  of  the bubbles  is  given  by  the

Mail_Total_(tonnes). Please copy the generated motion chart and include it in your

PDF file.

? Note  that  the  CSV  file  is  both  too  big  and  not  in  the  right  format  to  visualise

directly, so  you will  first need  to aggregate the data using Python at both  the

‘Year’ and ‘AustralianPort’ level. Code to help you do this was discussed during the

lectures or tutorials. You need to select only five Australian airports before the

aggregation.

? You can then output the data as a CSV file (please note you do not need to submit

your  output  CSV  file),  which  you  can  use  in  order  to  create  the  appropriate

visualisation (see Activity: Motion Chart – Motion Chart in Python in Alexandria).

Having  graphed  the  data  as  a  Motion  Chart,  answer  the  following  questions (please

provide  a  snapshot  of  your  motion  chart  to  support  your  answers  in  your  PDF  file  if

required):

1. Why are the values lower in 2016 than they were in 2015?

2. In which year did Brisbane have almost the same number of passenger numbers

as Melbourne?

3. Which  city  has  the  largest  number  of  international  air  passengers  traveling

through it in 2015?

4. Name two  cities that have roughly  the  same number  of passengers and freight

quantity in  total in 1987 (Please make sure the scale in x and y axes are linear

when you answer to this question)?

5. Which city has the least number of passengers travelling through it comparing to

all other four cities? In which year this value is maximum?

6. Has the number of passengers travelling through Sydney airport ever decreased

from one year to the next? If so, when did it happen? Any idea why that might have

occurred?

Good luck!