11  Afternoon Session: Finalization and Presentations (3:00-4:30)

11.1 Session Structure (90 minutes)

11.1.1 Presentation of Draft Visualizations (45 min)

• Each person/team will have 3-5 minutes to present their visualization(s)
• Brief feedback after each presentation
• Focus on both content (the story) and execution (the design)

11.1.2 Peer Critique Workshop (20 min)

• Work in pairs/trios to provide detailed feedback
• Use the CLEAR framework checklist to structure your feedback
• Provide specific suggestions for improvement

11.1.3 Technical Troubleshooting & Final Polishing (20 min)

• Address any remaining technical challenges
• Apply final polish to your visualizations
• Prepare for inclusion in reports or presentations

11.1.4 Wrap-up & Next Steps (5 min)

• Summarize key learnings from the day
• Discuss how to apply these skills to your ongoing projects
• Resources for continued learning

11.2 Presentation Guidelines

When presenting your visualization, be sure to cover:

1. The Story: What key insight does your visualization communicate?
2. The Audience: Who is this visualization designed for?
3. The Process: How did you decide on this chart type and design?
4. The Challenges: What technical or design challenges did you overcome?
5. Next Steps: How could you further refine this visualization?

11.3 Evaluation Criteria

Your final visualizations will be evaluated based on:

• Story clarity: Is the main insight clearly communicated?
• Technical execution: Is the code efficient and well-structured?
• Visual design: Does it follow AidData’s style guidelines?
• Audience appropriateness: Is it suited for the intended audience?

11.4 Resources for Further Learning

11.4.1 AidData-Specific Resources

1. AidData’s Style Guide
   • Available from John Custer and the communications team
   • Official guidance on visual identity
   • Color palettes and typography
2. Recent AidData Reports
   • Belt and Road Reboot
   • Power Playbook
   • Excellent examples of effective data storytelling

11.4.2 Data Visualization Books and Resources

1. “Storytelling with Data” by Cole Nussbaumer Knaflic
   • Practical techniques for data visualization
   • Emphasis on simplicity and focus
2. Cedric Scherer’s 2-Day Workshop Materials
   • Free comprehensive resource: Graphic Design with ggplot2
   • Advanced techniques for publication-quality graphics
3. Albert Rapp’s Online Course
   • Insightful Data Visualizations for Uncreative R Users
   • Excellent paid resource for presentation-ready chart styles and techniques

11.5 Appendix: CLEAR Framework Feedback Form

11.5.1 Visualization Feedback Form

Visualization Title: ______________________________

Creator(s): ______________________________

Color:

• Strengths: ______________________________
• Suggestions: ______________________________

Limited Chart Types:

• Strengths: ______________________________
• Suggestions: ______________________________

Explanatory Elements:

• Strengths: ______________________________
• Suggestions: ______________________________

Audience Targeting:

• Strengths: ______________________________
• Suggestions: ______________________________

References:

• Strengths: ______________________________
• Suggestions: ______________________________

Overall Assessment:

• What works well: ______________________________
• Opportunities for improvement: ______________________________
• One key suggestion: ______________________________