Reference no: EM132540216

ICT112 Creative Problem Solving with Programming - University of the Sunshine Coast

Case Study: Mammal Fauna Rescue Centre

Section A DESIGN & RATIONALE
• Pseudo code for the problem solutions
• Rationale, Discussion & Assumptions Submitted as a MS Word Document:
• Pseudo code for the monthly report system. This should include:

o what decompositions are made into Functions/Modules and or classes.

• Rationale for the system's design (decomposition)

• Discussion of how the System's test plan (i.e. how did you test your system).

• Any assumptions that were made about the data and how to process it.

Section B: IMPLEMENTATION

• Code solution - at a minimum your code must demonstrate the following:
o Import of .csv file

o Filtering of data  - your code should demonstrate the ability to filter the data, for example by region, by species, by species type, by week, etc.

o Graphing with mathplotlib - you should produce 2 pie charts: 1 pie chart for regional results and 1 pie chart for species results

– Pass-Credit level, ALL species represented on the pie chart

– Distinction- High Distinction - top 10 species only represented on the pie chart

o Output to .csv file (10 marks)

– 2 files: region-June2018.csv and species-June2018.csv

• Format - the formatting of each file should be in line with the following example:
Region name, Number in region, Percentage of total cases
‘Severn', 216, '63%'
‘West Scotland', 97, '23%'

– For both files:

• Pass level output in any order unfiltered, no %
• Credit level, output in any order with %
• Distinction to High Distinction level, sort into descending order, filter

• Documentation and coding style (20 marks)
Submitted as a single python notebook with name <studentNumber>_py.ipynb , containing your complete python implementation:

• Your Section B MUST work on Anaconda Jupyter Notebook and be able to be demonstrated

Attachment:- Creative Problem Solving with Programming.rar