Intent & authorship of analyses
Regularly interrogate the point of view of a data author, and transparently share your own.
K–2 Competencies
Investigate the origins of the data underlying a visualization and ask students about the sources of the data.
Classroom resources
Data Science Starter Kit Module 5: Telling the Story - Visualization and Communication
Welcome to the culminating skill of data science—communicating your findings effectively so others can understand and act on them! This module focuses on how to create clear visualizations and compelling narratives that make data accessible and meaningful to different audiences.🔗
Visualization and Communication isn’t about creating fancy graphics or impressive presentations. It’s about developing the empathy and clarity to think, “How can I help others understand what this data means and why it matters to them?” The best data science in the world is useless if it can’t be understood and applied by the people who need it.
3–5 Competencies
Assess the purpose and effectiveness of a data story by identifying why it is being told, its goal, and whether it achieves that goal.
Identify situations when data can be used to make decisions at school or at home.
Classroom resources
Data Science Starter Kit Module 5: Telling the Story - Visualization and Communication
Welcome to the culminating skill of data science—communicating your findings effectively so others can understand and act on them! This module focuses on how to create clear visualizations and compelling narratives that make data accessible and meaningful to different audiences.🔗
Visualization and Communication isn’t about creating fancy graphics or impressive presentations. It’s about developing the empathy and clarity to think, “How can I help others understand what this data means and why it matters to them?” The best data science in the world is useless if it can’t be understood and applied by the people who need it.
6–8 Competencies
Identify the reason a data representation was created. e.g., to persuade, present factual information
Identify potential biases of the source of data used to create a visualization.
Communicate the limitations of data visualizations based on the source of data used in to create it.
Classroom resources
Data Science Starter Kit Module 5: Telling the Story - Visualization and Communication
Welcome to the culminating skill of data science—communicating your findings effectively so others can understand and act on them! This module focuses on how to create clear visualizations and compelling narratives that make data accessible and meaningful to different audiences.🔗
Visualization and Communication isn’t about creating fancy graphics or impressive presentations. It’s about developing the empathy and clarity to think, “How can I help others understand what this data means and why it matters to them?” The best data science in the world is useless if it can’t be understood and applied by the people who need it.
9–10 Competencies
Evaluate the source, methodology, sample size, and any potential biases in data collection that may impact the reliability of the data narrative.
Evaluate the potential agenda(s) or motivation(s) of the author of a data visualization.
Understand standard journalistic practices, including fact checking and source verification, that support accurate reporting and help combat misinformation.
Analyze situations when institutions have made big decisions based on untrustworthy data and describe the consequences.
Classroom resources
Data Science Starter Kit Module 5: Telling the Story - Visualization and Communication
Welcome to the culminating skill of data science—communicating your findings effectively so others can understand and act on them! This module focuses on how to create clear visualizations and compelling narratives that make data accessible and meaningful to different audiences.🔗
Visualization and Communication isn’t about creating fancy graphics or impressive presentations. It’s about developing the empathy and clarity to think, “How can I help others understand what this data means and why it matters to them?” The best data science in the world is useless if it can’t be understood and applied by the people who need it.
11–12 Competencies
Communicate and present the source of the data used for the data visualization to ensure transparency.
Examine the significance of the data being visualized by understanding what it measures and its relevance to real-world issues or scenarios.
Examine how institutions (e.g., government, businesses, nonprofit organizations) utilize big data to achieve policy goals while considering the benefits and harms to the public and their implications for civic behavior.
Classroom resources
Data Science Starter Kit Module 5: Telling the Story - Visualization and Communication
Welcome to the culminating skill of data science—communicating your findings effectively so others can understand and act on them! This module focuses on how to create clear visualizations and compelling narratives that make data accessible and meaningful to different audiences.🔗
Visualization and Communication isn’t about creating fancy graphics or impressive presentations. It’s about developing the empathy and clarity to think, “How can I help others understand what this data means and why it matters to them?” The best data science in the world is useless if it can’t be understood and applied by the people who need it.
Advanced Competencies
Classroom resources
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