Choosy: How to be 'Choosy' Quick Reference Guide
This single-page reference guide describes six pedagogical strategies for preparing large datasets for classroom use: three row or case-reduction strategies (Random, Purposeful, and Build-Your-Own) and three column or attribute-reduction strategies (Thematic, Mathematical, and Question-Driven). For each strategy, the guide defines the method, evaluates its pedagogical benefits and drawbacks (especially in terms of statistical and data science learning goals), and maps it to GAISE II and IDSSP educational standards.
To Learn More: This resource is part of How to be Choosy, a published guide that helps educators learn how to convert too-large datasets into ones that are both manageable, and that preserve the pedagogically useful parts of the “real world.” Read the full paper here
Intended Audience & Use Case: This resource is designed for K-12 and undergraduate statistics and data science instructors, as well as curriculum designers. Though some of the ideas and activities might be useful for students as well, we recommend providing them with additional scaffolding and support than is available in these resources.