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Construction of the data dictionary

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Reference no: EM131241720

Data Science Project

Continuing from Assignment 1, this Data Science Project aims to explore data related to Australia. In particular, we will use data provided by the Government at https://data.gov.au. Our data strategy and task specifications for this assignment will focus on the analysis of WiFi Usage data in Geelong region. While Assignment 1 was designed to work on a small subset of the data for you to develop introductory skills and knowledge to the data science process, this Project will require you to work on the full dataset.

Task Description

There are two main tasks for this assignment which constitutes a total of 100 marks:

- Construction of the data dictionary and
- Programming tasks to perform analytics and visualization tasks.

Construction of the Data Dictionary

A first systematic step to a data science process, as we have learned from the lectures and practical sessions, is to construct a data dictionary for the dataset.

Similar to Assignment 1, except you are working with a full dataset, your task is to construct a data dictionary for the dataset you are working with using the provided data dictionary template.

You are required to prepare two sheets in your data dictionary Excel file:

 Dataset description

 Attribute description

Programming task

A python note book file project_notebook.ipynb has been prepared for you to complete this task. Download this notebook, load it up and follow instructions inside the notebook to complete the task.

The total mark for this task is 85 marks. You are required to submit your solution in an IPython Notebook format as well as its exported version in html.

https://www.dropbox.com/s/t8g9peljug8yioy/Final%20project.rar?dl=0

Reference no: EM131241720

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Reviews

len1241720

10/13/2016 5:54:34 AM

Inside this file there a pdf file named project instructions. you have to read them first. After that you to do the python coding in the notebook file (project_notebook.ipnyb). it is jupyter notebook.

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