Fat Pizza – pizza parlour
The local pizza parlour needs a new ordering system to improve customer service by
streamlining the ordering process. The manager of the store has found that many orders
are incorrect and staff at times enter incorrect prices. The manager wants a new ordering
system to avoid these errors and to ensure correct prices are charged.
At present, the customer selects what bread crust they want: thin, thick or wood fired. The
customer chooses how many cheeses, the styles of each cheese, how many toppings and
the types. There are currently eight cheeses and ten toppings to choose from.
The management are hoping to have a system developed where staff enter the order at
stations where the price is calculated, and the customer pays. The order is then sent to staff
at the counters who complete the order and give it to the customer.
In addition to the ordering system, Fat Pizza have asked for some analysis on the current
trends in pizza sales in the five neighbouring regions. As a result, you were able to source
weekly sales data for 45 stores over 3 years (2010 – 2012).
In this task you will learn how to:
? Write programs that produce correct and useful output
? Apply relevant Python programming concepts to a data analysis challenge
? Read data from real sources and wrangle it into the form you need.
? Develop creative approaches to solving the wrangling/analysis problems.
? Adhere to the recommended Python programming styles
? Organise and present a data analysis report
ICT702 Task 2
2 ICT702 TASK 2
? Give an insightful analysis of the given problem.
Task 2 is broken into two parts (each worth 20% of the course):
1. Due Friday Week 9 Use Python to create an ordering system for Fat Pizza.
2. Due Friday Week 12 Use Python to read and analyse the pizza weekly sales data
and generate various useful graphs that give insight into the trends which is
presented in a brief report to the client.
1 Ordering System
In this first part of Task 2, you should write a Python script for the pizza ordering system.
Your program must store the prices of the individual items (crusts, cheeses and toppings).
Specifically, the program should do the following:
? At the start, the program should ask for the customer’s name to personalise and
track the order and then get the number of pizzas from the customer.
? For each pizza, the crust type, cheese amount, cheese style, number and type of
toppings should be taken from the customer.
? At the end the program should display the itemised order with the total price.
? The program should be able to handle invalid entries inputted (such as incorrect
crust type, or invalid number of toppings)
? You must use standard Python data structures, not Pandas, to store the prices of
the individual items.
? Items and prices are listed in Appendix A
? HINT: You should use the Python “input(message)” function to read each input value
from the customer (for example when asking for the customer name).
2 Pizza trends
In this second part of Task 2, you should write a Python script that reads and analyses the
pizza data file (Weekly_Sales.csv) and merge it with the store details file (StoreDetails.csv)
and region file (Region.csv) to produce at least FOUR useful graphs that give insight into
the pizza sales trends.
For example, here are some suggestions:
• show the change in pizza sales over the period 2010 to 2012
• compare the trends of all stores in a given year.
• compare sales against the different store details (i.e. temperature and
unemployment) to see what the relationship between them is (data from
• compare sales in the five different regions (using the data from the Region.csv to
group the stores).
ICT702 TASK 2 3
1. You must at least have 1 graph analysing temperature or unemployment and 1
graph comparing the sales across the different regions.
2. You must use the Pandas library to store and manipulate the data.
3. Use markup and headings to break your Jupyter notebook into sections and give
commentary about what you doing, and discussion of your results. This Jupyter
notebook will be what you submit.
3 What you will submit
There are three deliverables in two parts. Part A is due Friday in week 9 and Part B
is due Friday in Week 12. The following are what you will be submitting for each part.
1. Part A Python code for the ordering system in a Jupyter notebook file
2. Part B Python code for the trends analysis in a Jupyter notebook file
3. Part B Report to the client based on (2) (PDF or word doc)
Fat Pizza – pizza parlour