The final step to convey meaning and emotion in your data stories is to test and refine them. Testing and refining can help you improve your data stories, by getting feedback, identifying errors, and making adjustments. Testing and refining can also help you ensure that your data stories are accurate, credible, and ethical, and that they respect your data sources, your audience, and your purpose. Some ways to test and refine your data stories are: Review your data stories for accuracy, consistency, and completeness, and check your data sources, calculations, and references. Ask for feedback from your colleagues, peers, or experts, and listen to their opinions, suggestions, and questions. Try out your data stories on a sample or representative audience, and observe their reactions, responses, and behaviors. Make changes and improvements based on your review, feedback, and trial, and repeat the process until you are satisfied with your data stories.