TECH3100 Data Visualisation in R Assessment 3

Assessment 3 Information

Your Task

This assessment is to be completed individually. In this assessment, you will evaluate your ability to apply and critically analyse visualisation techniques using the R language with the ggplot2 library.

Assessment Description

For this assessment, you will demonstrate and analyse the application of visualisation techniques using the R language with the ggplot2 library. Follow the instructions below to complete the assessment:

1. Case Study Selection:
   1. Select a suitable case study that involves a complex data analysis scenario relevant to your field or area of interest. Ensure that the case study has diverse and rich data suitable for visualisation.
2. Data Import and Preparation:
   1. Import the chosen dataset into R using appropriate functions or libraries.
   2. Conduct necessary data cleaning, preprocessing, and transformation steps to prepare the data for visualisation.
3. Exploratory Data Visualisation:
   1. Apply the ggplot2 library to create a variety of visualisations that explore different aspects of the dataset.
   2. Utilise appropriate plot types, aesthetics, and statistical transformations to effectively represent and analyse the data.
4. Design and Customisation:
   1. Demonstrate the design of visualisations that align with best practices and principles of effective data visualisation.
   2. Customise visualisations by modifying aesthetics, scales, themes, and annotations to enhance clarity and visual appeal.
5. Analysis and Interpretation:
   1. Critically analyse the visualisations to identify patterns, trends, and relationships within the data.
   2. Interpret the insights gained from the visualisations and relate them to the case study context.
   3. Formulate data-driven recommendations or decisions based on the analysis and insights derived.
6. R Code Documentation:
   1. Document your R code using comments to explain the purpose and functionality of each step in the analysis.
   2. Ensure that your code is well-structured, readable, and easily understandable.

This assessment aims to achieve the following subject learning outcomes:

TECH3100 Data Visualisation in R Assessment 1 help
 

Assessment Instructions

Students must conduct research externally and included references in order to produce a well referenced assessment. You should use at least ten (10) sources of information and reference these in accordance with the Kaplan Harvard Referencing Style. These may include websites, social media sites, industry reports, census data, journal articles, and newspaper articles. These references should be presented as in-text citations and a referencing list at the end of your assessment (not included in the word limit). Wikipedia and other ‘popular’ sites are not to be used.

1. Report: You must submit your report in Word document or in PDF format.
2. R Code: Include the complete R code you used to perform the analysis. Ensure that the code is well-documented with comments.
   1. You must submit your R code in .r format extension. Any other formats will not be accepted.
3. Please refer to the assessment marking guide to assist you in completing all the assessment criteria.
4. Note: zipped files will not be accepted.

Important Study Information

Academic Integrity and Conduct Policy

https://www.kbs.edu.au/admissions/forms-and-policies

KBS values academic integrity. All students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy.

Please read the policy to learn the answers to these questions:

• What is academic integrity and misconduct?
• What are the penalties for academic misconduct?
• How can I appeal my grade?

Late submission of assignments (within the Assessment Policy)

https://www.kbs.edu.au/admissions/forms-and-policies

Length Limits for Assessments

Penalties may be applied for assessment submissions that exceed prescribed limits.

Study Assistance

Students may seek study assistance from their local Academic Learning Advisor or refer to the resources on the MyKBS Academic Success Centre page. Further details can be accessed at https://elearning.kbs.edu.au/course/view.php?id=1481

Generative AI Traffic Lights

Please see the level of Generative AI that this assessment is Level 2 has been designed to accept: