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Visual Data Interpretation: Understanding Types and Methods for Better Analysis

Explore the various types of visual data and learn why it is essential in drawing conclusions. Investigate the significance of animal skulls related to meat-eating species to enhance understanding. Practice reading and interpreting visual data accurately to improve analytical skills.

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Visual Data Interpretation: Understanding Types and Methods for Better Analysis

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Presentation Transcript

  1. Good Morning!Discuss your answers to Journal 1 with a partnerPay attention to the skulls of these animals (they all eat meat)What animals might these be? Would that help you in your conclusion?

  2. Goals • Identify different types of visual data • Understand why we use visual data • Practice how to read visual data in the correct way

  3. Visual Data • We read visual data in many ways.

  4. Types of Visual Data

  5. Malaria

  6. Observations vs. Inferences • Observation: You use one or more of your five senses to know or determine something. • Inference: You make an explanation for the observation. • Example: • You see steam rising off of a cup of coffee. (Observation) • The coffee is hot. (Inference)

  7. Observations vs. Inferences

  8. How to read visual data • Describe it (axis, legend) • Describe what’s on it (data/trends) • Make inferences

  9. Student A

  10. Student B

  11. Student A

  12. Student B

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