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Question:

In this second part of Task 2, you should write a Python script that reads and analyses the ice cream 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 ice cream sales trends.

For example, here are some suggestions:

  • show the change in ice cream sales over the period 2010 to 2012
  • compare the trends of all stores in a given
  • compare sales against the different store details (i.e. temperature and unemployment) to see what the relationship between them is (data from StoreDetails.csv).
  • compare sales in the five different regions (using the data from the Region.csv to group the stores).
  1. You must at least have 1 graph analysing temperature or unemployment and 1 graph comparing the sales across the different
  2. You must use the Pandas library to store and manipulate the
  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

There are three deliverables in two parts. Part A  Due on Friday September 11 and Part B Due on Saturday September 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)
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