Data Visualization Project: Course Code, Module Name, University

This project focuses on creating interactive and static data visualizations using a chosen publicly available dataset. The assignment requires students to preprocess the data, design and implement multiple visualization techniques, and write a comprehensive report. The report should include background information on the data source, project objectives, a detailed outline of the visual design process, justifications for the techniques used, and a discussion of the results. The project also includes a reflection on the challenges and successes of the project. The final deliverable is a report that documents all visualizations and findings, demonstrating the ability to analyze data, create effective visualizations, and communicate insights. This project is a practical application of data science principles, emphasizing the importance of visual communication in data analysis and interpretation. Students will use multiple visualization techniques to represent the data and compare and contrast their effectiveness. They will also be required to identify and implement several techniques and show multiple variables. This project aims to enhance students' understanding of data visualization, data preprocessing, and report writing skills.

Project Description:
Design, develop and document the process of creating clear and effective visual representations for
a topic of your choice. You should create an interactive data visualization and/or a number of static
data visualizations. The visualizations must be based on real data that you can acquire through a
third-party publicly available data source.
Project Tasks:
 Select a publicly available data set (that have not been used in the HDSDA course previously)
 Prepare/preprocess data appropriately
 Design and create an interactive data visualization and/or static data visualizations
i) Use multiple visualizations techniques based on the objectives set for your project
ii) Compare and contrast the different techniques applied
 Present the work carried out via a report and/or on-line
Process:
 Acquire and understand the dataset: i) Identify a dataset(s)  Acquire access to dataset (Download
or Cloud access)  Inspect the data – Identify features of interest
 Determine key objectives o What do you wish to show with this project?
 Identify key results in dataset
 Preprocess the data: i) Data cleansing ii) Structure data to suit the representation method
 Create visual representations:
i) Identify and implement several techniques
ii) Multiple variables (>2) to be identified
Project Deliverables:
You are required to:
1. Create interactive data visualization and/or a number of static data visualizations of a chosen
dataset.
2. Write a report which includes and documents all the visual representations you created for this
project. The report should include the following:
 Short background on data source selected, including basic domain information (10%)

 Specification of what do you wish your project to show, i.e. what are the main objectives, what is
the narrative conveyed? (15%)
 Outline the visual design process from beginning to end – analysis of data, data preprocessing, how
you developed your data visualizations (15%)
 Justification of techniques, layout, style, and colour used for each visualisation (10%)
 Presentation and discussion of the results shown by each visualization (40%)
 Conclusions including findings/interpretations – a short reflection on developing this project e.g.
what you found easy/difficult (10%)