you will evaluate your ability to apply and critically analyse visualisation techniques using the R language with the ggplot2 library.

 

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:

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