Data Visualization Guide
Purpose
This guide supports the effective visual representation of educational data to enhance understanding and facilitate meaningful dialogue.
Visualization Types
Quantitative Data
- Bar charts
- Achievement comparisons
- Progress tracking
- Group comparisons
- Resource usage
- Line graphs
- Progress over time
- Trend analysis
- Growth patterns
- Comparative trends
- Pie charts
- Distribution analysis
- Resource allocation
- Response breakdowns
- Participation rates
Qualitative Data
- Word clouds
- Feedback themes
- Response patterns
- Common terms
- Key concepts
- Flow charts
- Process analysis
- Decision paths
- Implementation steps
- System connections
- Mind maps
- Theme relationships
- Concept connections
- Idea development
- Pattern analysis
Design Principles
Clarity
- Clear labels
- Consistent legend
- Appropriate scale
- Readable font
- Color contrast
- Simple design
- Focus on message
- Avoid clutter
Accessibility
- Color-blind friendly
- Text alternatives
- Multiple formats
- Print-friendly
- Digital access
- Scale options
- Format choices
- Clear hierarchy
Implementation
Preparation
- Choose appropriate type
- Gather clean data
- Select key points
- Plan layout
- Test readability
- Check accuracy
- Prepare context
- Create drafts
Presentation
- Introduce context
- Explain elements
- Guide interpretation
- Answer questions
- Note limitations
- Highlight key points
- Connect to purpose
- Support understanding