Misleading Data Visualizations
Students will analyze how visual choices like scale and color can be used to mislead an audience.
Key Questions
- Analyze how visual choices like scale and color can be used to mislead an audience.
- Critique examples of misleading data visualizations.
- Design an ethical data visualization that avoids deceptive practices.
Common Core State Standards
Suggested Methodologies
Ready to teach this topic?
Generate a complete, classroom-ready active learning mission in seconds.
More in Data Intelligence and Visualization
Data Collection Methods and Bias
Students will explore techniques for gathering data and analyze how bias in data collection can lead to inaccurate conclusions.
2 methodologies
Ethical Data Scraping and Privacy
Students will discuss the ethical considerations of scraping data from public websites and privacy implications.
2 methodologies
Data Cleaning and Preprocessing
Students will learn the necessity of cleaning data to ensure accuracy and handle missing or corrupted data.
2 methodologies
Correlation vs. Causation
Students will analyze why correlation does not necessarily imply a causal relationship.
2 methodologies
Identifying Trends in Data
Students will use computational tools to identify patterns and trends within datasets.
2 methodologies