Marking Criteria - This assignment is due at the end of Week 12. You must submit your files in a single .zip file, via Blackboard. Your .zip file should include your Jupyter Notebook (containing your Python program), your input data files, all your generated output web pages; and any image files, graphs and CSS files that are used in your web pages. It will be marked out of 30. The marking criteria is as follows: Jupyter Notebook Structure [6 marks], Web Design and Functionality [6 marks], Data Analysis and Visualisation [6 marks], Python Functions [6 marks], Program Design and Algorithms [6 marks]. Note: the generated web pages should NOT contain any Javascript, as the goal of this assignment is to generate simple static web pages using Python.

Jupyter Notebook Structure [6 marks]. This should use markup cells and headings to divide your program into parts: Title, plus your name and student number; Introduction, which explains the structure of your web site, and the features / statistics / graphics that you have implemented; Web-site overview, to explain the structure of your web site; Python code, preferably broken into subsections for each part of your program.

Web Design and Functionality [6 marks]. To achieve maximum marks, the generated web site should contain several (5-10) web pages, with an entry page (index.html) that links to all the other pages, and the other pages linking back to the entry page; good use of images; the layout and organisation of the pages should be elegant and readable, with appropriate choices of colours; good use of HTML tables for layout; the generated pages should conform to HTML standards; a simple CSS file should be used to specify the look of the web pages (this CSS file does not have to be generated by your program).

Data Analysis and Visualisation [6 marks]. Your program should analyse the data and generate (and include in the web pages): one or more informative graphs that visualise various aspects of the data; summary statistics for various group of data (e.g. an average, or maximum, or minimum, or sum); some percentages that are relative to the available population (e.g. display the fatalities for each Australian State relative to the population of that state, rather than just the absolute numbers of fatalities - this makes it possible to compare accident rates between states). NOTE: To generate some of these relative percentages, you will need to obtain additional data from other sources, such as the population of each state, the number of drivers of each gender or each age group, etc. Make sure you clearly document your data sources.

Python Functions [6 marks]. Most your Python code should be inside functions; function parameters should be used to make your program concise and flexible; each function should include appropriate function docs; correct and meaningful naming conventions should be followed for function names and variable names. Program Design and Algorithms [6 marks]. To achieve maximum marks, your program should be elegantly designed: be concise; use constants for important values/strings that are likely to change; use appropriate data structures (e.g. strings, lists, tuples, dictionaries, or objects) to store the data; make good use of Python libraries and methods (e.g. for strings and lists); and be reasonably efficient during execution (e.g. reading the input files just once, rather than many times). A key criterion is that your program should not contain blocks of code that are duplicated or similar (such blocks of code should be simplified into a single block of code by good use of loops or functions).