12  Assessment 2

A project demonstrating data visualisation and summary skills

12.1 Instructions

Your task is to replicate this html report using this dataset and code, and to generate an appropriate visualisation for the final plot. The submission must contain the following:

• A reproducible project structure with all needed files
• Document structure and text that replicate the report
• Import the data with correct data types
• Tables that replicate Tables 1-4
• Plots that replicate Figures 1-3
• A plot that is appropriate to the description of Figure 4
• Consistent plot themes, colours and labels
• Cross-references in the text to the figures and tables
• Appropriate alt-text for the figures for accessibility
• References created using bibtex
• A reflection on independent learning you did for this assessment

12.2 AI Declaration

It is School policy to include this specific AI declaration in any work that allows the use of generative AI. You can copy the code below and include it at the end of your assessment.

### Generative AI Declaration

Indicate [YES] or [NO] to all statements below to show how you have used generative AI tools in this assignment. You MUST declare all use of AI and take responsibility for the content of the assignment. We consider it a misuse of generative AI if you do not declare all uses, including initial exploration of the subject, literature searching, writing and editing, corrections for grammar and spelling, as well as any other tasks from the course.

* [YES/NO] Do you take full responsibility for the content of this submission, ensuring its adherence to academic integrity standards and compliance with University and subject-specific regulations regarding generative AI use as detailed in the assessment information sheet?

Did you use AI for:

* [YES/NO] General learning about a topic 
* [YES/NO] Idea generation or scoping of topic or research question
* [YES/NO] Searching and consulting the scientific literature
* [YES/NO] Summarising or explaining primary sources like journal articles
* [YES/NO] Planning the overall structure of a piece of work?
* [YES/NO] Translation of your own text from another language into English
* [YES/NO] Rephrasing your own text at sentence level
* [YES/NO] Language editing for spelling, grammar, clarity or tone
* [YES/NO] Referencing support, for example checking or producing citations, DOIs or formatting
* [YES/NO] Analysis support, for example statistical or qualitative analysis advice or interpreting output
* [YES/NO] Coding assistance, for example writing or debugging code
* [YES/NO] Visuals or media support, for example figures, diagrams, slide layout or transcription of my own * recordings
* [YES/NO] Something else (explain under **Sources of Learning**)
* [YES/NO] Avoided use of AI tools in any way to assist with this assignment or my learning of the topic

12.3 Hints and Tips

• The html theme used by the demo report is flatly
• The ggplot theme is theme_bw()
• Make Tables 1-2 using markdown
• You will need to use filter() to create the data for Tables 3-4; do not just type the numbers from the demo table
• Display Tables 3-4 using flextable()
• You shouldn’t need any packages apart from tidyverse and flextable
• The colours are “dodgerblue3”, “darkgreen”, “goldenrod”, “darkorange2”, and “firebrick”
• The bibtex for the WHO reference is:

@techreport{who_unicef_2024,
  author      = {{WHO/UNICEF Joint Monitoring Programme for Water Supply,
                  Sanitation and Hygiene}},
  title       = {Progress on Drinking Water, 
                 Sanitation and Hygiene in Schools 2015--2023},
  institution = {UNICEF and World Health Organization},
  address     = {New York},
  year        = {2024}
}

12.4 Submission

• Covers: chapters 1-4, emphasising 3 and 4
• Worth: 20%
• Do not put your name in your report; use your student ID as the author.
• Please submit a zip file containing:
  1. the .rproj file
  2. your reproducible script, named report2_studentID.qmd
  3. any additional files necessary to reproduce your report (e.g., images or bibliography files),
  4. the rendered html report, named report2_studentID.html.

12.5 Marking Rubric

You will receive green/amber/red lights for each of the elements below, and a generic feedback document explaining common issues. Each rubric element is weighted equally.

• Green: Perfect or nearly perfect
• Amber: Needs some improvement
• Red: Incorrect or absent

Elements	Green	Amber	Red
Reproducible project
Document replicated
Captions/references
Data import
Figures replicated
Tables replicated
Figure 4 appropriate
Consistent visualisations
Clear code
Efficient code
Reflection

Total: 0/22

12.5.1 Reproducible project

The project contains all of the necessary files and can be rendered by the marker.

12.5.2 Document replicated

The non-code elements of the document are replicated, such as table of contents, text paragraphs, and Tables 1-2.

12.5.3 Captions/references

The figure and table captions are created correctly and quarto cross referencing (not manual linking) is used for figures, tables, and bibliographic references. The figures have descriptive alt-text for accessibility.

12.5.4 Data import

You imported the data with correct data types, including putting factors in sensible order for later plots or tables.

12.5.5 Tables replicated

Tables 3-4 are created by filtering the data using code, and have all of the features of the example table, such as the same rounding and coloured labels.

12.5.6 Figures replicated

Figures 1-3 are created using code, and have all of the features of the example plots, such as label, axis or colour customisation.

12.5.7 Figure 4 appropriate

You chose an appropriate geom (or set of geoms) for the relationship being demonstrated.

12.5.8 Consistent visualisations

Figure 4 has consistent features with Figures 1-3, such as the same labels or same colours for the same levels (or different colours if you use colour to highlight different levels).

12.5.9 Clear code

Your code is organised in the quarto script cleanly and clearly, using separate code chunks to intersperse text and relevant code. Your code chunks contain comments that clarify the purpose of the code, but not overly-explaining each step. The names you use for objects are clear, consistent, and concise.

For example, if the marker wants to assess the code that creates a specific table, they should be easily able to identify that object in the environment from the name, and easily able to find the code that creates it.

12.5.10 Efficient code

While there are many ways to do the same things in R, some ways are more efficient than others. These avoid unnecessary code (e.g., do not load packages you do not use) and redundancy (e.g., do not load or process the data the same way in several places).

If you find yourself re-typing something repeatedly, see if you can define an object early in the script and use that instead.

You will not be asked to do anything “tricky” in this assessment, so if you find yourself needing 20 lines of code just to customise the labels in a plot, try looking for more efficient alternatives.

12.5.11 Reflection

You summarise what you learned in the course of doing this assessment.