Evaluate your ability to apply and critically analyse

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Reference no: EM133775791 , Length: word count:2000

Data Visualisation in R

Assessment - Coding Assignment Analysis

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:

Case Study Selection:
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.
Data Import and 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.

Learning outcomes:

LO3 Evaluate and apply visualisation techniques for data analytics.
LO4 Design visualisations to support data-driven decision-making processes.

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.

Report: You must submit your report in Word document or in PDF format.
R Code: Include the complete R code you used to perform the analysis. Ensure that the code is well-documented with comments.
a) You must submit your R code in .r format extension. Any other formats will not be accepted.

Reference no: EM133775791

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