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42047 – Data Processing Using Python

AUTUMN 2022

ASSIGNMENT - Data Analysis and Visualization

Summ ary

This assessment requires you to perform exploratory data analysis and data visualization on a publicly available dataset. Your task includes:

Understanding the dataset

Apply appropriate visualization techniques

Extract information from each for the attributes and other specifics of the data set

using statistical techniques .

Use summary statistics to spot problems such as missing values, outliers, data

ranges that are too wide or narrow, and units of data.

In the assignment report, provide an explanation about each of the techniques

applied and the inference as a result of the analysis .

Ass ignment Objectives

The purpose of this assignment is to demonstrate competence in the following skills .

Able to write python programs and use various python packages such as NumPy,

Matplotlib, and Pandas for data exploration and analysis

Able to read data from multiple sources and manipulate data for analysis and

visualization.

Apply statistical tests and data visualisation techniques to analyse data and interpret

the results .

Tasks

In this assignment, you need to design and implement a data analysis process, pre- processing the dataset, incorporating appropriate data visualization techniques, and statistical testing.

Choose a publicly available dataset, or a Kaggle competition dataset, or a custom dataset. Download, explore, and clean it as required to perform data analysis and visualization.

A number of sample datasets are available in the reference given below:

UCI Machine Learning Repository: https :// archive . ics . uci . edu / ml / datasets . php https :// www . dataquest . io / blog / free - datasets - for - projects /

Additional Information :

A ssessment Submission

You must upload data files and the solution file to Canvas. This must be done by the Due Date. You may submit as many times as you like until the due date. The final submission you make is the one that will be marked. If you have not uploaded your zip file within 7 days of the Due Date, or it cannot be run in the lab, then your assignment will receive a zero mark.

PLEASE NOTE 1: It is your responsibility to make sure you have thoroughly tested

your program to make sure it is working correctly .

PLEASE NOTE 2: Your final submission to Canvas is the one that is marked. It does

not matter if earlier submissions were working; they will be ignored. Download your submission from Canvas and test it thoroughly.

Return of Assessed A ssignment

It is expected that marks will be made available 2 weeks after the submission via

Canvas.

Q ueries

If you have a problem, such as an illness that will affect your assignment submission, contact the subject coordinator as soon as possible.

Dr. Nabin Shar ma

Room: CB 11.07.124

Phone : 9514 1835

Email : Nabin . Sharma @ uts . edu . au

If you have a question about the assignment, please post it to the Canvas discussion board for this subject so that everyone can see the response.

If serious problems are discovered in assignment specification, the class will be informed via an announcement on Canvas. It is your responsibility to make sure you frequently check Canvas.

PLEASE NOTE : If the answer to your questions can be found directly in any of the following

Subject outline

Assignment specification

Canvas FAQ

Canvas discussion board

You will be directed to these locations rather than given a direct answer.

Extensions and Special Consideration

Please refer to subject outline.

Academic Standards and Late Penalties

Please refer to subject outline.