Size
Work with datasets of increasing size in both number of observations and variables and arrange data in increasingly complex formats to facilitate meaningful analysis.
K–2 Competencies
Work with datasets with 1 - 2 variables and 10 - 30 observations (e.g., size of a class).
Classroom resources
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
3–5 Competencies
Work with datasets with up to 4 variables and up to 50 observations.
Recognize the difference between numerical and categorical data and choose the appropriate type for a particular measurement.
Classroom resources
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
6–8 Competencies
Work with datasets with up to 20 variables and over 100 observations.
Understand how categorical variables can be used to create meaningful subsets.
Classroom resources
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
9–10 Competencies
9-10.B.4.3a Work with datasets with over 20 variables and over 1000 observations.
Transform data between wide and long formats based on analysis needs.
Classroom resources
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
11–12 Competencies
Work with very large datasets multiple thousands of observations.
Use selection, sampling, and transformation tools to navigate very large datasets.
Classroom resources
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
Advanced Competencies
Classroom resources
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