Water Relations Data Analysis with Associated Figure RCV vs Molality of Mannitol Assignment 1

Assignment 1 

Summary

For this assignment, you will be submitting the two graphs made during Lab 2 (Water Relations Data Analysis) with associated figure captions for grading.

Must Include:

• Figure 1: RCV vs Molality of Mannitol
  • Must change the geom_point colour
  • Must contain at least three changes to the skeleton script
  • Must contain a figure caption
• Figure 2: Höfler Diagram
  • Must change the line colours and the geom_point colours
  • Must contain at least three changes to the skeleton script
  • Must contain a figure caption
• References: All citations must be properly formatted, and must be found within a Reference list.
• The associated scripts used to create each figure with annotated comments on where changes were made.

Figures will be graded based on:

• Clarity and Accessibility
• Overall aesthetic
• Accuracy 
• Quality of the changes
• Note that making more than three changes may earn you additional bonus points if the changes significantly improve the graph and are purposeful. 
• Following the figure rules outlined in the Figure Guide and Figure Examples documents (under Figure Assignments)

Required Formatting:

• 12 point font
• Times New Roman font 
• Black font 
• Regular margins 
• Left-justification for all text 
• Your student ID in the header (not your name)
• Your student ID in the file name (not your name or your initials; there should be no way for us to identify you on the document or the file name, other than a student ID)
• Non-breaking spaces when typing units or scientific names
• Must follow scientific convention for gene and organism name formatting and unit spacing.

Assessment Summary

Each figure needed to demonstrate understanding of scientific visualization principles, along with proper modification and documentation of the coding process. The assessment tested the student’s ability to apply data analysis and graphing skills, integrate aesthetic and scientific accuracy, and follow proper formatting and referencing conventions.

Additional Requirements:

• Annotated script files highlighting all changes made.
• Properly formatted references and citations.
• Scientific formatting rules, including correct gene/organism naming conventions and unit spacing.
• Strict anonymity guidelines (student ID only, no personal identifiers).

Figures were evaluated on clarity, aesthetic quality, accuracy, and creativity of changeswith bonus points for purposeful enhancements beyond the minimum requirement.

Approach by the Academic Mentor

The academic mentor guided the student through a structured, step-by-step approach to ensure technical accuracy, visual clarity, and adherence to scientific standards.

Step 1: Understanding the Assessment Brief

The mentor began by helping the student interpret the assignment guidelines, emphasizing how the task integrates analytical and graphical skills. Attention was given to the grading criteria (clarity, aesthetics, accuracy, and purposeful modifications) to align efforts with expectations.

Step 2: Reviewing the Base Scripts and Data

The mentor and student revisited the skeleton scripts provided in Lab 2. The mentor explained how each code segment contributed to the graph structure, enabling the student to identify potential modification areassuch as colour schemes, line styles, or axis labels.

Step 3: Implementing Script Modifications

The student was encouraged to experiment with at least three meaningful script changes per figure.
For Figure 1 (RCV vs Molality), changes were made to:

• The colour of geom_point for improved visual differentiation.
• Axis titles and theme elements to enhance readability.
• Data point size and shape to better represent distribution patterns.

For Figure 2 (Höfler Diagram), modifications included:

• Adjusting line and point colours to improve data distinction.
• Refining axis scaling for proportional accuracy.
• Applying a minimalist theme for professional presentation.

Each change was annotated in the script file to clearly demonstrate technical understanding and compliance with submission rules.

Step 4: Crafting Figure Captions and References

The mentor guided the student in writing scientifically appropriate captionsconcise yet descriptive, explaining what each figure represents and summarizing observed trends. Proper APA or scientific referencing style was followed for all cited sources.

Step 5: Ensuring Scientific Formatting and Compliance

The mentor helped verify that formatting adhered to all specified requirements:

• 12-point Times New Roman font
• Left-justified text
• Student ID only in header and file name
• Correct use of non-breaking spaces and scientific name formatting

Step 6: Review and Final Submission

The mentor reviewed the completed figures for visual coherence, clarity, and alignment with the Figure Guide. The final output reflected both creativity and precision, demonstrating the student’s ability to apply theoretical knowledge to practical data visualization.

Outcome and Learning Objectives Achieved

Through this guided process, the student successfully:

• Developed technical proficiency in R-based data visualization.
• Applied scientific conventions to figure formatting and referencing.
• Enhanced analytical thinking by interpreting data patterns and improving graphical communication.
• Demonstrated research integrity by maintaining originality and transparent documentation of all changes.

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