COSC 2670/2732: Practical Data Science with Python - IT Assignment Help

Assignment Task:

Task:

Objective

The key objectives of this assignment are to learn how to process messy text data using python. Data is always going to start in a form you may not want. So, you must massage the data into a form you do want. Python is a perfect tool for processing large volumes of raw data. Australians love sports, so it seems fitting to begin our data adventure by processing a bit of statistical data from Australian Rules Football. If you are unfamiliar with the sport, you might want to watch this video https://https:// youtu.be/Dtmu-1kMFZw and/or read a bit about the rules on Wikipedia https: //en.wikipedia.org/wiki/Australian_Football_League. Provided files The following template files are provided:

• A1.ipynb : a skeleton Jupyter notebook file you can use to interactively work through your initial testing to implement the functions as defined below.

• create afl tsv.py : a skeleton main file for Challenge

1. Once you have got your code working in the Jupyter notebook, you should move the code you need here so that it will “pass” a set of automated tests that we will run to verify your code can produce valid outputs for each of the function challenges you have been given.

• validate afl tsv.py : a skeleton main file for Challenge

2. Same as above. • find top wins.py : a skeleton main file for Challenge

3. Same as above.

• aflutil/helper.py : Several helper utility functions that are provided to read / write files in a specific format. You should look at all of these functions carefully as they will help you solve the challenges.

• aflutil/AFLGame.py : This is a helper class that is used only in the third challenge.

• data directory : a set of markdown data files containing the input data to be used for this project.

• requirements.txt : this file should be used by you to ensure that you work in a clone of the anaconda environment.

This should not be modified. It is critical that you use the environment as defined or you will fail the automated test we will be running to validate your project code. See below for further instructions.

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