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All data processing should be done using the Pandas library. Everything required for this assignment is covered in the lectures

and/or practical exercises, so there should be no need to use Python or Pandas features outside of what has been covered in class.

Note, you will get Zero marks if you use some other programming language, library or system such as R, MATLAB or Excel.

Part B (10 marks)

This link opens a skeleton .ipynb file with markdown instructions. You should use this file to generate a PDF report for Part B.

Open Part B in jupyter

Exemplar Case Study for Part B

Video Instructions for Part B

What to submit

A Jupyter notebook file (.ipynb) for part A and a PDF report for part B (generated from the provided .ipynb notebook).

Go here to submit: EGB103 Assignment 3- Data Integration and Solving Engineering Problems: Submission

Feedback:

Under normal circumstances, you will receive marks for each criterion via a Canvas rubric within 10-15 working days of submission.

Click on Grades to see your results. Usually the reason for each choice of mark is self-evident, the marker will include some written

feedback about your performance. You should use this feedback to strengthen your performance in the next assessment item.

Mudurni