Common Errors in Using Data Visualization
| Discussion Prompt | Common Errors |
| Discuss the most common errors in data visualization. | 1. Incorrect totals in charts (e.g., pie-chart presenting 150%). 2. Not following convention (e.g., upside-down y-axis). 3. Truncated and cropped axes making value comparison difficult. |
Measures to Prevent Errors
| Discussion Prompt | Preventive Measures |
| Identify two measures to prevent errors in data presentation. | 1. Use the right chart and double-check entered values to ensure correctness. 2. Follow convention as a rule, making exceptions only when necessary. 3. Use true values on axes to prevent truncation and cropping. |
Formats for Presenting Outcomes
| Discussion Prompt | Suggested Formats and Corresponding Data Points |
| Suggest two formats for presenting outcomes of a project. | 1. Article: Scientific format with sections like introduction, literature review, methodology, data presentation, discussion, conclusion, references, and appendices. 2. Poster: Concise, visually appealing format for summarizing project outcomes attractively and generating discussion (Joel, 2018). |
Preferred Format for EBP Project Outcomes
| Discussion Prompt | Preferred Format for EBP Project Outcomes |
| Identify one format you would use to present each outcome. | Article: Comprehensive information for peer review, ensuring credibility (Joel, 2018). |
References
- Joel, L. (2018). Advanced practice nursing: essentials for role development (4th ed.). Philadelphia, PA: F. A. Davis Company.
- Sharma, N. (2015). 7 most common data visualization mistakes. Retrieved from thenextweb.com
